ArticlePDF Available

The Canine Oral Microbiome

Authors:

Abstract and Figures

Determining the bacterial composition of the canine oral microbiome is of interest for two primary reasons. First, while the human oral microbiome has been well studied using molecular techniques, the oral microbiomes of other mammals have not been studied in equal depth using culture independent methods. This study allows a comparison of the number of bacterial taxa, based on 16S rRNA-gene sequence comparison, shared between humans and dogs, two divergent mammalian species. Second, canine oral bacteria are of interest to veterinary and human medical communities for understanding their roles in health and infectious diseases. The bacteria involved are mostly unnamed and not linked by 16S rRNA-gene sequence identity to a taxonomic scheme. This manuscript describes the analysis of 5,958 16S rRNA-gene sequences from 65 clone libraries. Full length 16S rRNA reference sequences have been obtained for 353 canine bacterial taxa, which were placed in 14 bacterial phyla, 23 classes, 37 orders, 66 families, and 148 genera. Eighty percent of the taxa are currently unnamed. The bacterial taxa identified in dogs are markedly different from those of humans with only 16.4% of oral taxa are shared between dogs and humans based on a 98.5% 16S rRNA sequence similarity cutoff. This indicates that there is a large divergence in the bacteria comprising the oral microbiomes of divergent mammalian species. The historic practice of identifying animal associated bacteria based on phenotypic similarities to human bacteria is generally invalid. This report describes the diversity of the canine oral microbiome and provides a provisional 16S rRNA based taxonomic scheme for naming and identifying unnamed canine bacterial taxa.
Content may be subject to copyright.
The Canine Oral Microbiome
Floyd E. Dewhirst
1,2
*, Erin A. Klein
1
, Emily C. Thompson
1
, Jessica M. Blanton
1
, Tsute Chen
1
, Lisa Milella
3
,
Catherine M. F. Buckley
4
, Ian J. Davis
4
, Marie-Lousie Bennett
5
, Zoe V. Marshall-Jones
4
1Department of Molecular Genetics, The Forsyth Institute, Cambridge, Massachusetts, United States of America, 2Department of Oral Medicine, Infection and Immunity,
Harvard School of Dental Medicine, Boston, Massachusetts, United States of America, 3The Veterinary Dental Surgery, Byfleet, United Kingdom, 4WALTHAM Centre for
Pet Nutrition, Melton Mowbray, United Kingdom, 5Mars Pet Care Europe, Birstall, United Kingdom
Abstract
Determining the bacterial composition of the canine oral microbiome is of interest for two primary reasons. First, while the
human oral microbiome has been well studied using molecular techniques, the oral microbiomes of other mammals have
not been studied in equal depth using culture independent methods. This study allows a comparison of the number of
bacterial taxa, based on 16S rRNA-gene sequence comparison, shared between humans and dogs, two divergent
mammalian species. Second, canine oral bacteria are of interest to veterinary and human medical communities for
understanding their roles in health and infectious diseases. The bacteria involved are mostly unnamed and not linked by
16S rRNA-gene sequence identity to a taxonomic scheme. This manuscript describes the analysis of 5,958 16S rRNA-gene
sequences from 65 clone libraries. Full length 16S rRNA reference sequences have been obtained for 353 canine bacterial
taxa, which were placed in 14 bacterial phyla, 23 classes, 37 orders, 66 families, and 148 genera. Eighty percent of the taxa
are currently unnamed. The bacterial taxa identified in dogs are markedly different from those of humans with only 16.4% of
oral taxa are shared between dogs and humans based on a 98.5% 16S rRNA sequence similarity cutoff. This indicates that
there is a large divergence in the bacteria comprising the oral microbiomes of divergent mammalian species. The historic
practice of identifying animal associated bacteria based on phenotypic similarities to human bacteria is generally invalid.
This report describes the diversity of the canine oral microbiome and provides a provisional 16S rRNA based taxonomic
scheme for naming and identifying unnamed canine bacterial taxa.
Citation: Dewhirst FE, Klein EA, Thompson EC, Blanton JM, Chen T, et al. (2012) The Canine Oral Microbiome. PLoS ONE 7(4): e36067. doi:10.1371/
journal.pone.0036067
Editor: Jacques Ravel, Institute for Genome Sciences, University of Maryland School of Medicine, United States of America
Received January 27, 2012; Accepted March 30, 2012; Published April 27, 2012
Copyright: ß2012 Dewhirst et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the WALTHAM Centre for Pet Nutrition. The funders had no role in study design, data collection and analysis, decision to
publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
* E-mail: fdewhirst@forsyth.org
Introduction
Bacteria of the oral cavity have been studied with great interest
since Anton van Leeuwenhoek first examined the plaque between
his teeth with his crude microscope in 1683 [1]. Using cultivable
methods, approximately 300 species from the human oral cavity
have been isolated, characterized and formally named. Studies of
the oral microbiota of other vertebrates have been less extensive.
Unfortunately, bacteria from non-human sources were often
misidentified and misclassified based on phenotypic similarity to
human microorganisms. With the advent of molecular identifica-
tion methods, primarily based on 16S rRNA sequence analysis, it
has become apparent that bacteria from different vertebrate hosts
are frequently unique, despite similar biochemical and other
phenotypic traits. While molecular methods have been valuable in
clarifying the identification and taxonomy of isolates, the greatest
strength of these methods is in the identification of the majority of
organisms which are currently uncultivated. Studies with molec-
ular methods have demonstrated that the bacterial diversity in
most environments is severely underestimated in surveys with
cultivation-based methods [2,3].
While the human oral microbiome has been surveyed using
culture-independent methods [4], the canine oral microbiome has
not. Previous canine studies were based primarily on culture-
dependant methods and sometimes sought to identify species
commonly found in human plaque [5,6,7,8].
The primary purpose of this study was to identify major species
of bacteria present in canine oral microbiome through an
examination of subgingival plaque using culture-independent
methods. This study reports on the analysis of 5,958 16S rRNA
sequences from 65 clone libraries and provides 416 full 16S rRNA
reference sequences (.1500 base) for the 353 taxa identified. As
the vast majority of these taxa are not formally named, a
provisional taxonomic scheme is presented based on assigning
each taxon to the closest genus or higher taxa, and assigning it a
unique Canine Oral Taxon number.
Materials and Methods
Ethics Statement
Dogs were recruited in the UK from a kenneled population and
from client owned dogs presented at a specialist veterinary clinic;
informed client consent was obtained. Two studies were
performed as follows: subgingival plaque was collected from 20
dogs in the first study (10 of which were from a kenneled
population) and from 31 dogs in the second. The studies were
approved by the WALTHAM Centre for Pet Nutrition ethical
PLoS ONE | www.plosone.org 1 April 2012 | Volume 7 | Issue 4 | e36067
review committee, and run under licensed authority in accordance
with the UK Animals (Scientific Procedures) Act 1986.
Plaque collection and DNA isolation
Animals were sampled under anesthesia. Each dog was given a
premedication of 0.02 mg/kg acepromazine (ACP 2 mg/ml) and
0.02 mg/kg buprenorphine (Vetergesic 0.3 mg/ml) intramuscu-
larly, then induced with 0.4 mg/kg propofol (Rapinovet 10 mg/
ml) given intravenously, and maintained on 2% inhalational
isoflurane. Initially supra-gingival and gingival margin plaque and
calculus were removed using a Gracey curette to prevent
contamination of the sub-gingival sample. A periodontal probe
was then inserted under the gingival margin and swept along the
tooth surface. Plaque from at least eight teeth was pooled. The
resulting subgingival plaque pool from each dog was suspended in
a 350 ml solution of 50 mM Tris (pH 7.6), 1 mM EDTA (pH 8.0)
and 0.5% Tween 20 and was immediately stored at 220uC prior
to DNA extraction. DNA extraction was performed using the
DNeasy Tissue Kit (Qiagen, Valencia, California) following the
manufacturer’s instructions for the isolation of genomic DNA from
Gram-positive bacteria (which also works well for Gram-negative
bacteria). For the second study DNA extraction was performed
using the Masterpure Gram Positive DNA Purification Kit
(Epicentre, USA), according to the manufacturer’s instructions
with an additional overnight lysis as follows. Plaque samples were
centrifuged at 50006g for 10 minutes and the cell pellet
resuspended in 150 ml of TE buffer (10 mM Tris-Cl and
0.5 mM EDTA, pH 9.0). Following vortexing, 1 ml Ready-Lyse
Lysozyme (Epicentre, UK) was added and the lysis mix incubated
overnight at 37uC for 18 hrs. Following the extraction, DNA was
resuspended in TE buffer.
DNA amplification
DNA samples purified from subgingival plaque of 20 dogs in
study 1 were individually amplified with ‘‘universal’’ primers F24/
Y36 (9-29F/1525-1541R) to construct 20 libraries. The sequences
of primers are given in Table S1 in the supplemental materials.
Purified DNA from the 10 of the 20 dogs was also combined into 4
pools (each pool from 2 or 3 dogs), and each pool was amplified
individually with ‘‘Bacteroidetes-selective’’, F24/F01 or ‘‘Spiro-
chaetes-selective’’, F24/M98, primers to give eight additional
libraries. In study 2, DNA samples purified from subgingival
plaque of 31 dogs were individually amplified with ‘‘universal’’
primers F24+AD35/C72 (9-27F [YM+B]/1492-1509R) to con-
struct 31 libraries. The forward primer was a combination of 4
parts of the 4-fold degenerate 9–27 ‘‘YM’’ primer F24 and one
part Bifidobacteriales primer AD35 (modified from Frank et al. [9],
to give a 5-fold degenerate primer mix for enhanced phylogenetic
coverage. Equal amount of DNA from 3 sets of ten to eleven dogs
were pooled to give 3 DNA super-pools. The three super-pools
were amplified individually with ‘‘Bacteroidetes-selective’’, F24/
F01 and ‘‘Spirochaetes-selective’’, F24/M98, primers to give six
additional libraries.
PCR was performed in thin-walled tubes with a Perkin-Elmer
9700 Thermocycler. One ml of the purified DNA template was
added to a reaction mixture (50 ml final volume) containing 20
rmole of each primer, 40 nmole of dNTPs, 2.5 units of Platinum
Taq polymerase (Invitrogen, Carlsbad, CA) in 106PCR buffer
(200 mM Tris-HCl pH 8.4, 500 mM KCl). In a hot start protocol,
samples were preheated at 94uC for 4 min followed by
amplification using the following conditions: denaturation at
94uC for 45 s, annealing at 60uC for 45 s, and elongation at
72uC for 1.5 min with an additional 1 s for each cycle. A total of
30 cycles were performed and then followed by a final elongation
step at 72uC for 15 min. The size and amount of each amplicon
was examined by electrophoresis in a 1% agarose gel. DNA was
stained with SYBR Safe DNA gel stain (Invitrogen, Carlsbad, CA)
and visualized under UV light. After checking that a strong
amplicon of the correct size was produced, a second preparative
gel was run and the full length amplicon band was cut out and
purified using a Qiagen Gel Extraction kit (Qiagen, Valencia, CA).
Cloning and Library Screening procedures
Size-purified PCR amplified DNA was cloned using a TOPO
TA Cloning Kit as previously described [4]. Approximately 90
colonies were picked for each library. Clones were amplified using
M13 forward and reverse primers and amplicon purified as
previously described [4].
16S rRNA Sequencing
Purified DNA was sequenced using an ABI prism cycle-
sequencing kit (BigDyeHTerminator Cycle Sequencing kit) on
an ABI 3100 Genetic Analyser (Applied Biosystems, Foster City,
CA). The sequencing primers, Table S1 in supplementary
materials, were used in a quarter-dye chemistry following the
manufacturer’s instructions.
16S rRNA data analysis
Approximately 500 bases of sequence were determined using
primer Y31 (519–533R) to allow preliminary identification of
clones. If the clone sequence appeared novel (differing by more
than 7 bases from previously identified canine oral reference
sequences), a full sequence of approximately 1,500 bases was
obtained using 6 to 8 sequencing primers for full double strand
coverage (Table S1). The sequencing primers used over the course
of the two studies evolved. Primers in Table S1 which failed to
produce readable sequence for multiple taxa due to mismatches
are labeled ‘‘limited’’ and were not used in subsequent studies.
Primers which proved successful empirically and by alignment
with human and canine oral reference sequences are labeled
‘‘general’’. Full 16S rRNA sequences were assembled from the
ABI electropherogram files using Sequencher (Gene Codes
Corporation, Ann Arbor, Michigan). Programs for data entry,
editing, sequence alignment, secondary structure comparison,
similarity matrix generation, and phylogenetic tree construction
were written by F.E. Dewhirst [10]. Consensus neighbor-joining
trees [11] were constructed from our aligned sequences using
MEGA 4 [12]. The similarity matrices were corrected for multiple
base changes at single positions by the method of Jukes and Cantor
[13]. Comparisons with missing data were eliminated pairwise.
The consensus trees were based on 1,000 bootstrap resamplings.
Sequences were checked for the possibility of being chimeric
using a custom program [4] which checked the phylogenetic
distance between the best BLAST match of the ends of each
sequence with the canine reference set excluding self matches.
Sequences whose ends diverged .5% were examined using
Mallard [14] and heuristically for sequence consistency with
phylogenetic neighbors in our overall sequence alignment sorted
phylogenetically.
Nucleotide Sequences
The full 16S rRNA sequences for 416 clones representing 353
canine oral taxa were deposited in GenBank and received
accession numbers JN713151–JN713566. The accession numbers
are also included for each phylotype in Figs. 1, 2, 3, and 4. The
partial 16S RNA sequences (the 59-end ,500 bases) of 5,959
clones were deposited in GenBank as JQ294075–JQ300033.
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 2 April 2012 | Volume 7 | Issue 4 | e36067
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 3 April 2012 | Volume 7 | Issue 4 | e36067
Results and Discussion
Oral samples for 16S rDNA clone library construction came
from a wide variety of dog breeds. The breed and age of each dog
for each library is given in Table S2 of supplementary materials.
The breeds examined include large (Saint Bernard) and small
(Papillion) breeds, and those with long (Australian Collie) and short
(Shih Tzu) snouts and ranged in age from 3 to 8 years old. While
the breeds examined in this study are originally from geograph-
ically diverse locations, the dogs sampled are from a limited area of
the United Kingdom. Thus, future studies employing samples
from dogs living in different countries could well find additional
canine microbial diversity. Because the 51 dogs examined came
from 25 breeds, there was no attempt to compare microbiomes
between breeds as the number of dogs/breed were too low.
Cloning studies
A total of 6,025 clones were examined from 65 libraries of
approximately 90 clones per library. Sixty-seven clones which had
sequences shorter than 350 trimmed bases or which were found to
be chimeric were excluded for a total of 5,958 validated clones
used for analyses. The validated clones from the first cloning
library were initially grouped into provisional phylotypes based on
their 500 base partial sequences. A full sequence was then
determined for a representative of each phylotype. The phylotypes
were given arbitrary Canine Oral Taxon numbers (COT-001
through COT-399) in the order they were identified and the full
length sequences used as a reference set against which subsequent
clones were examined by BLASTN analysis. In this study, a
phylotype or COT is defined as a set of one or more 16S rRNA
sequences with greater than 98.5% full sequence similarity (23 or
fewer base differences for a 1530 base sequence). This phylotype
definition was chosen because the 16S rRNA sequence divergence
for most strains of named oral species examined is less than 1.5%
and inter-species divergence is usually greater than 1.5%. As
subsequent clone libraries were screened, any clone with a partial
500-base sequence not matching a reference set sequence by at
least 98% (7 base mismatches) was fully sequenced and added as a
new reference sequence and given a COT number. Thus all 5,958
partial clone sequences match a reference sequence at a similarity
of greater than 98%. Some taxa have two or more reference
sequences because members of a taxon can differ by up to 23 base
differences and appear ,98% similar in their first 500 bases. A
total of 353 phylotypes were identified. Seventy of these phylotypes
(19.8%) were identified as named species based on greater than
98.5% sequence similarity to a type strains in BLASTN searches of
GenBank [15] and Greengenes [16]. The remaining 284
phylotypes (80.2%) represent currently unnamed taxa. As this
study made no attempt to cultivate members of the canine
microbiome, we are not in a position to address what percent of
the unnamed taxa are cultivable or as yet uncultivated as has been
done for human taxa [4].
Taxonomy
Each canine taxon was placed in a phylum or candidate division
based initially on BLASTN results against the Human Oral
Microbiome Database (HOMD) [4], GenBank databases Refer-
ence RNA sequences (refseq_rna) and RNA and Nucleotide
collection (nr/nt) [15], and using tools at Greengenes [16]. The
Greengenes site was particularly useful for classifying and placing
sequences from the rare phyla or candidate divisions Chlorobi,
Chloroflexi, GN02 and WPS-2. The 16S rRNA sequences of all
canine taxa were placed in an aligned database (hand-aligned
based on secondary structure) and analyzed extensively by tree
construction anchored to named reference sequences. As was
previously done for the human oral microbiome [4], a provisional
six level taxonomy was created consistent with the 16S rRNA tree
structure. The full taxonomy is presented in Table S3 in
supplementary materials. The 353 canine bacterial phylotypes
were placed in 14 bacterial Phyla, 23 Classes, 37 Orders, 66
Families, and 148 Genera. The number of taxa and clones in each
phylum or candidate division are shown in Table 1.
Shown in Figs 1, 2, 3, and 4 are consensus neighbor-joining
trees based on the aligned full 16S rRNA sequences for the 353
canine taxa. Each taxon header includes name (genus and species),
Canine Oral Taxon number (COT), clone designation, GenBank
accession number, and number of clones identified for each taxon
out of a total of 5,958. The 51 taxa with 30 or more clones are
shown in bold as major taxa. Those 58 taxa marked with a filled
circle are taxa shared with humans, as defined by the canine
reference sequences sharing .98.5% similarity with reference
sequences in the Human Oral Microbiome Database by BLASTN
comparison (www.homd.org). Where a taxon is ,90% similar to a
named genus, it is designated using the family, or most specific
higher taxa name, [G-1] sp. where ‘‘[G-1]’’ indicates it belongs to
a novel genus. Family level grouping in the Clostridia (Figs 1 & 2)
include the widely recognized classification of Collins et al. [17].
Thus, Clostridium viride is written ‘Clostridium’ IV viride to indicate it is
not in the genus Clostridium sensu stricto but rather is a member of
Collins Cluster IV.
Firmicutes and Tenericutes
The majority of taxa in the Firmicutes are shown in Fig. 1 in the
cluster marked by encircled ‘‘1’’. The Firmicutes families
Peptostreptococcaceae and Lachnospiraceae are shown in Fig. 2. The
phylum Tenericutes, previously the class Mollicutes within the
Firmicutes [18], is marked with an encircled ‘‘3’’ in Fig. 1. The
Firmicutes class Erysipelotrichi, marked with an encircled ‘‘11’’,
branches within the ‘‘phylum’’ Tenericutes, demonstrating
phylogenetic inconsistencies created by elevating class level
branches within the Firmicutes to phylum level. One hundred
sixty-two taxa were identified as members of the phylum
Firmicutes.
Clostridia
The dominant class within the Firmicutes is Clostridia,
containing 138 taxa. The Clostridia clade is shown in Fig. 1,
marked encircled ‘‘4’’, and all taxa in Fig. 2. The cluster of 10
taxa, marked encircled ‘‘6’’ in Fig. 1, fall into unnamed genera in
Collins Clusters III and IV, except for one taxa falling in the genus
Faecalibacterium. Sixteen taxa fall into two family level Clusters with
Figure 1. Consensus neighbor-joining tree for canine oral tax in phyla Actinobacteria, Firmicutes and Tenericutes. The name of each
taxon is followed by Canine Oral Taxon number, reference clone designation, GenBank accession number, and the number of clones out of 5958 that
were identified as this taxon. Taxa marked with a filled circle are also found in the human oral cavity. Taxa for which there were 30 or more clones are
shown in bold. The tree was constructed with MEGA 4 using the Jukes and Cantor correction neighbor-joining distance matrix. Comparisons with
missing data were eliminated pairwise. The numbers to the left of the branches indicate the percent of time the clade was recovered out of 1,000
bootstrap resamplings. Only bootstrap percentages greater than 50 are shown. Roman numerals following a genus name indicate Collins’ Clostridia
cluster numbers [17] The scale bar shows 5% sequence divergence. The encircled numbers mark clades discussed in the text.
doi:10.1371/journal.pone.0036067.g001
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 4 April 2012 | Volume 7 | Issue 4 | e36067
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 5 April 2012 | Volume 7 | Issue 4 | e36067
no named members, marked encircled ‘‘7’’ and ‘‘8’’, for novel
families F-2 and F-1 respectively. Three taxa fall in the family
Peptococcaceae, marked encircled ‘‘9’’, related to the human
associated species Peptococcus niger. The family Veillonellaceae,
previously Acidaminococcaceae, is marked encircled ‘‘10’’. We chose
not to follow the suggestion of Marchandin et. al. [19], to elevate
this family to a class as we believe it is taxonomically unjustified.
The Veillonellaceae cluster contains members of the genera Dialister,
Anaeroglobus, Phascolarctobacterium, Schwartzia, Selenomonas, and an
unnamed genus. Nine of these taxa are also found in humans.
Shown in Fig. 2 are those Clostridia taxa falling in Collins Clusters
XI, XIII, and XIVa, with the first two clusters constituting the
family Peptostreptococceae and the last cluster the family Lachnospir-
aceae. These two families contain the majority of the Clostridia taxa
in both dogs and humans. In Collins Cluster XI, the cluster of taxa
marked encircled ‘‘1’’ contains 18 taxa. Most are in 7 unnamed
genera which may be unique to dogs. This cluster contains some
named taxa shared with humans such as ‘Eubacterium’ XI infirmum,
Mogibacterium timidum and M. diversum, and ‘Eubacterium’ XI nodatum.
The cluster marked encircled ‘‘2’’ contains 11 taxa in 3 unnamed
genera distantly related to Fusibacter paucivorans. The cluster marked
encircled ‘‘3’’ contains five Filifactor species, including F. alocis and
F. villosus, and two taxa related to human associated species
‘Eubacterium’ XI yurii. The cluster marked encircled ‘‘4’’ contains 16
taxa in the genus Peptostreptococcus sensu stricto, Proteocatella, and an
unnamed genus distantly related to ‘Clostridium’ XI sticklandii. The
validly named reference bacterium Proteocatella sphensci [20] was
initially called ‘Frigovirgula patagoniensis’ in GenBank (AF450134)
and the name ‘Frigovirgula’ unfortunately persists causing minor
confusion. Within Collins Cluster XIII, clusters marked encircled
‘‘5’’, ‘‘6’’, & ‘‘7’’, are 11 taxa in the genera Helcococcus, Parvimonas,
Tissierella, Peptoniphilus, and three unnamed genera. Five taxa,
including P. micra, are shared with humans. Seventeen canine taxa
fall in the Lachnospiraceae [21], Collins Cluster XIVa, with major
subclusters marked encircled ‘‘8’’ and ‘‘9’’. The subclusters contain
taxa in the genera Blautia, Butyrivibrio, Catonella, Shuttleworthia,as
well as 7 unnamed genera. Two taxa, including S. satelles, are
shared with humans.
Bacilli
The second most dominant class within the Firmicutes is the
Bacilli with 18 taxa. The Bacilli clade is marked with an encircled
‘‘5’’ in Fig. 1. All taxa can be placed in the following genera:
Abiotrophia, Aerococcus, Enterococcus, Gemella, Globicatella, Granulicatella,
Jeotgalicoccus, Lactobacillus and Streptococcus. While three streptococ-
cal species are shared with humans, streptococci appear to
represent a minor genus in dog. This is not surprising as simple
carbohydrates and sugars are not normally a major constituent of
the canine diet and canine saliva has a pH of approximately 8.0
(WALTHAM, unpublished data 2011) which may be hostile to
members of this aciduric genus.
Erysipelotrichi
Five taxa in this Firmicutes class, marked encircled ‘‘11’’ in
Fig. 1, were identified. None were sufficiently close to reference
species to place them in the genera Erysipelothrix or Bulleidia.
Novel Firmicutes Class
Firmicutes [G-1] sp. COT-309 appears to be a member of a
novel deeply branching linage marked encircled ‘‘12’’ in Fig. 1.
The closest named species had only 80% sequence similarity,
however, a clone from the microbiome of fiber adherent species
from rumen fluid was 93% similar (EU844484) supporting this
canine taxa as a member of a mammal host associated lineage.
Tenericutes
Six members of this phylum were identified and are marked
encircled ‘‘3’’ in Fig. 1, but excluding the Class Erysipelotrichi
discussed above. In this tree, the ‘‘phylum’’ does not branch as a
monophyletic entity. Mycoplasma canis and an Ureaplasma parvum-
related taxon can be placed in named genera, but four additional
taxa fall into unnamed genera.
Actinobacteria
Twelve Actinobacteria were identified and are marked encircled
‘‘2’’ in Fig. 1. Taxa in the genera Actinomyces, Leucobacter,
Pseudoclavibacter, Propionibacterium, were identified as well as a deeply
branching taxa Actinobacteria [G-1] sp. COT-376. None of these
canine oral taxa are shared with humans. In study 1 using the
standard 9–27F and 1525–1541R primers, only one Actinobac-
teria clone was recovered. Because the 1525–1541R primer has
been reported to discriminate against Actinobacteria [22], we
switched to the 1492–1505R primer in hopes of obtaining less
biased coverage in our second study. Eleven clones were obtained
with the revised ‘‘universal’’ primers and eight additional clones by
fortuitous mispriming using the ‘‘Bacteroidetes-selective’’ primer
set. It appears that no truly ‘‘universal’’ 16S rRNA primers exist
and studies of diversity benefit from the use of multiple primer sets.
Actinomyces sp. COT-083 fell in the genus Actinomyces, and is 97%
similar to Actinomyces coleocanis, a species isolated from the vagina of
a dog [23].
Proteobacteria
Fifty-two phylotypes were identified from the phylum Proteo-
bacteria, and are marked with an encircled ‘‘1’’ in Fig. 3. The five
classes are marked with Greek letters. The 22 Betaproteobacteria taxa
include 11 from the mammalian host associated genera Neisseria,
Eikenella and Conchiformibius. Whether the taxa associated with
other genera in the Betaproteobacteria are truly part of the
endogenous oral microbiome, or are transient common environ-
mental bacteria remains to be determined. The 18 Gammaproteo-
bacteria taxa include the host associated genera Cardiobacterium,
Moraxella and species in the families Pasteurellaceae and Enterbacter-
iaceae. Taxa in the genera Luteimonas and Stenotrophomonas may be
transient common environmental bacteria. One deeply branching
Alphaproteobacteria taxon, distantly related to named species (81%
similarity), was identified. The five Epsilonproteobacteria and six
Deltaproteobacteria taxa are related to well-known mammalian host
associated genera except for Chondromyces, which is generally
associated with soil or decaying organic matter.
Spirochaetes
Thirty-seven phylotypes from the phylum Spirochaetes were
identified and are marked by encircled ‘‘2’’ in Fig. 3. Thirty-four
taxa are members of the genus Treponema, marked encircled ‘‘5’’,
Figure 2. Consensus neighbor-joining tree for class
Clostridia
, families
Peptostrepto-coccaceae
and
Lachnospiraceae
.Labeling and
methods used are as described in Fig. 1.
doi:10.1371/journal.pone.0036067.g002
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 6 April 2012 | Volume 7 | Issue 4 | e36067
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 7 April 2012 | Volume 7 | Issue 4 | e36067
including the named species T. amylovorum, T. denticola, T.
maltophilum, T. medium, T. parvum, T. socranskii, and T. vincentii
which are also found in the human oral cavity. A total of 14 canine
Treponema spp. are shared with humans. Unlike previous studies of
the human oral cavity [4], three taxa outside the genus Treponema
were identified and marked encircled ‘‘3’’ and ‘‘4’’. Spirochaeta sp.
COT-379 is most closely related to Spirochaeta coccoides
(NR_042260; not shown) and Spirochaeta sp. Buddy. These two
species are not helical cells, typical of spirochetes, but rather have
a coccoid morphology. Spirochaeta sp. COT-314 is 92% similar to a
strain isolated from the marine bristle worm Alvinella pompejana
(AJ431240; not shown) and Spirochaeta isovalerica.Spirochaetes [G1]
sp. COT-373 is a deeply-branching taxa with 93% similarity to a
clone sequence from the termite gut, EF453883. Thus it appears
that the diversity of spirochetes in the mammalian oral cavity may
be broader than just the genus Treponema. The vast majority of the
spirochete clones came from the 7 libraries produced using
‘‘spirochete-selective’’ primers (Table 1), which demonstrates the
utility of using selective primers.
Bacteroidetes
Forty-three phylotypes were identified as members of the
phylum Bacteroidetes, marked by encircled ‘‘1’’ in Fig. 4. Eleven
named genera include: Porphyromonas, Tannerella, Proteiniphilum,
Paludibacter, Bacteroides, Prevotella, Odoribacter, Bergeyella, Cloacibacter-
ium, Capnocytophaga and Sporocytophaga, and 5 unnamed deeply
branching genera what are not anchored to named taxa. The use
of ‘‘Bacteroidetes-selective’’ primers with DNA from 7 super-pools
produced 420 clones in the Bacteroidetes phylum and increased
the depth and diversity of taxa identified over that produced from
‘‘universal’’ primers (Table 1).
There are naming issues for a number of species in the
Bacteroidetes phylum. Porphyromonas gingivicanis and Porphyromonas
crevioricanis were properly named and validly published by
Hirasawa & Takada in 1994 [24]. Unfortunately, no 16S rRNA
sequences for the type strains of these species were deposited by
anyone for 12 years (see DQ677835 & DQ67736) and for 14 years
by the authors (see AB430828 & AB430829). While these
sequences were unavailable, Collins et al. named Porphyromonas
cansulci [25] and deposited its 16S rRNA sequence in GenBank as
entry X76260. ‘‘Porphyromonas canis’’ was invalidly named by
Sakamoto & Benno in 1999 as GenBank entry AB034799. From
the 16S rRNA sequences, we now know that P. cansulci is a
synonym for P. crevioricanis, and that ‘‘P. canis’’ is an invalid
synonym for P. gingivicanis.Odoribacter denticanis was named and
validly published by Hardham et al. [26], but was challenged by
Euzeby in comments in the List of Prokaryotic Names with
Standing in Nomenclature (http://www.bacterio.cict.fr/) for not
having a type strain available. This appears to be rectified as the
type strain is now available from three national collections. This
species was also previously referred to as ‘‘Wernerella denticanis’’ and
‘‘Porphyromonas denticanis’’. Bacteroides sp. COT-183 has been called
‘‘Bacteroides denticanum’’ by Elliott (see DQ156993) and ‘‘Bacteroides
denticanoris’’ by Hardham et al. (see AY54431) in GenBank and
patent filings, but never validly described in any publication.
Chlorobi
Two phylotypes from the phylum Chlorobi, marked with
encircled ‘‘2’’ in Fig. 4, were identified. The original cultivable
members of the phylum Chlorobi, previously called Green Sulfur
Bacteria or Chlorobia, are phototropic organisms [27]. Cultivation
independent molecular methods have identified members from
diverse environments. Recently a non-photosynthetic member of
the phylum, Ignavibacterium album, has been described [28].
Sequences in GenBank with greater than 84% similarity to canine
Chlorobi phylotypes COT-046 & COT-312 have been recovered
from manure drainage, penguin dropping sediment, hydrothermal
worm mucus, and from an anaerobic digester. A sequence with
99% similarity to COT-046 has been recovered from the oral
cavity of a cat (unpublished observation), supporting the
association of this taxa with the oral cavity of mammals. Nine
clones from skin swabs of the volar forearms of four human
subjects (based on subject identification number in GenBank
entries) have a sequence similarity of 99% to canine Chlorobi taxa
(for example HM278300 and HM330153 to COT-046). These
four human subjects appear to have had the volar surface of their
arms licked by dogs prior to sampling as their clone libraries
include 23 to 51 canine oral taxa.
Fusobacteria
Ten taxa from the phylum Fusobacteria, marked encircled ‘‘3’’
in Fig. 4, were identified, including the genera Fusobacterium,
Streptobacillus, and Leptotrichia. The Fusobacteria spp. includes four
taxa that overlap the human F. nucleatum cluster. Streptobacillus sp.
COT-370 is closely related to the rat bite fever organism S.
moniliformis. It was suggested previously that dogs may be colonized
with S. moniliformis by eating rats [29], but the current study
suggests that dogs may be naturally colonized with a distinct, but
closely related species. It is notable that clones from this phylum
were not present in the 10 libraries made by PCR with standard
9–27F and 1525–1541R primers, but were present (110 clones) in
21 libraries using an extend specificity 9–27F and 1492–1509R
primers (see methods and Table S1).
GN02
Four taxa from the as-yet-uncultured GN02 candidate division,
marked encircled ‘‘4’’ in Fig. 4 were identified. GN02 is one of 15
candidate divisions proposed in a study of the Guerrero Negro
hypersaline microbial mat [30]. The canine phylotypes were
originally placed in this division using BLASTN searches of the
Greengenes database. In the past year, related taxa from human
mouth and skin have started to appear in GenBank as human
microbiome data have been submitted (for example FJ976283 &
HM249743).
SR1
Three taxa from the as-yet-uncultured SR1 candidate division,
marked encircled ‘‘5’’ in Fig. 4 were identified. The SR1 division
was named for clones identified in a study of sediment with
microbial streamers from the Sulphur River in Parkers Cave,
Kentucky [31]. The SR1 division was previously part of candidate
division OP11, so older references to a closely related taxa from
the human oral cavity referred the human taxon as OP11 clone
X112 [32]. The human phylotype, now designated SR1 sp. HOT-
345, has been identified in multiple clone libraries [4].
TM7
Seven canine phylotypes were identified as members of the
candidate division TM7, which is marked with an encircled ‘‘6’’ in
Figure 3. Consensus neighbor-joining tree for phyla Proteobacteria and Spirochaetes. Labeling and methods used are as described in
Fig. 1. The Greek letters mark the respective Proteobacteria classes.
doi:10.1371/journal.pone.0036067.g003
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 8 April 2012 | Volume 7 | Issue 4 | e36067
Fig. 4. The phylum TM7 is a major lineage of Bacteria with no
known pure-culture representatives [33]. TM7 organisms have
been recognized in 16S rRNA cloning studies of many habitats,
including soils, fresh ground water, seawater, and mammalian
clinical samples [33]. They have been recovered from the human
oral cavity [4,32,34], the human distal esophagus [35], and mouse
feces [36].
Figure 4. Consensus neighbor-joining tree for phyla Bacteroidetes, Fusobacteria, Chlorobi, Chloroflexi, Synergistetes and
candidate divisions TM7, SR1, GN02 and WPS-2. Labeling and methods used are as described in Fig. 1.
doi:10.1371/journal.pone.0036067.g004
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 9 April 2012 | Volume 7 | Issue 4 | e36067
WPS-2
The candidate division WPS-2, marked with encircled ‘‘7’’ in
Fig. 4, is known from only 39 environmental clones in Greengenes
otu_4420, mainly from soils. The WPS-2 division was one of two
named for clones identified in a study of Wittenberg polluted soil,
Germany [37]. WPS-2 sp. COT-220 is closest to GenBank entry
DQ520181, and is the 40
th
member of this rarely observed
candidate division marked encircled ‘‘7’’ in Fig. 4. As this taxon
was detected as a single clone, and no related clones have been
identified from human or other mammalian sources, it remains to
be determined if this taxon is part of the endogenous canine oral
microflora, or an environmental transient.
Chloroflexi
A single phylotype of the Chloroflexi phylum was identified and
is marked with encircled ‘‘8’’ in Fig. 4. The Chloroflexi phylum,
previously called green non-sulfur bacteria, has many cultivated
species [38], and several were named subsequent to the description
in Bergey’s Manual of Systematic Bacteriology [39]. The canine
Chloroflexi sp. COT-306 is 96% similar to human oral taxon
Chloroflexi sp. HOT-439 and 86% similarity to named species
Anaerolinea thermophila [40] in the class Anaerolineae [41].
Synergistetes
The phylum Synergistetes is known mainly from clone
sequences, but contains about a dozen cultivated species including
Synergistes jonesii, a rumen bacterium that degrades toxic pyridine-
diols [42] and Pyramidobacter piscolens, a species from the human oral
cavity [43]. Organisms from the Synergistetes phylum have
previously been mistakenly included in the phylum Firmicutes or
placed in the phylum Deferribacteres (a sister phylum of
Synergistetes and Flexistipes) [32]. As marked by an encircled
‘‘9’’ in Fig. 4, 13 canine phylotypes were identified. Six canine
phylotypes match previously identified human phylotypes at
.98.5% similarity [4].
Primer biases
The number of clones identified in each phylum for libraries
generated with two different ‘‘universal’’ primer pairs, a
‘‘Spirochaetes-selective’’ pair, and a ‘‘Bacteroidetes-selective’’ pair
are shown in Table S1. A marked difference in the diversity
recovered in clone libraries using different initial PCR primers is
apparent. In study 1, the commonly used ‘‘universal’’ 9–27 YM
forward (F24) and 1525–1541 reverse (Y36) primers produced
more than one clone only for the four common phyla Firmicutes,
Proteobacteria, Bacteroides, and Spirochaetes. In the second
study, using expanded coverage 9–27 forward primers (F24/
AD35) [9] and the ‘‘universal’’ 1492–1509 reverse primer (C72),
clones from 12 phyla/candidate divisions were recovered. Of
particular note is the recovery of Fusobacteria taxa only with the
second set of ‘‘universal’’ primers and recovery of significantly
more Actinobacteria clones with the second primer set. PCR with
the ‘‘Spirochaetes-selective’’ reverse primer M98 (1483–1501)
yielded expected results: organisms from the Spirochaetes and
Synergistetes phyla. Bacteria in these two taxa have ‘‘GG’’ at
position 1484-5 whereas most other bacteria have ‘‘CT’’. The
‘‘Bacteroidaetes-selective’’ reverse primer F01 (1487–1505) selects
for organisms with a ‘‘CT’’ at position 1490-1 whereas most non
Bacteroidaetes have other bases at these positions. While the F24/
F01 primer set yielded mostly clones from the Bacteroidetes
phylum, clones for 12 phyla/candidate divisions were recovered.
The recovery of Chlorobi clones was expected based on perfect
primer sequence match; the recovery of TM7 and SR1, which
have a one base mismatch ‘‘TT’’, is also expected; but recovery of
other taxa, such as Firmicutes, Proteobacteria and Fusobacteria, is
somewhat unexpected as they have 2 base mismatches. While the
‘‘Spirochaetes–selective’’ primers are truly selective, the ‘‘Bacter-
Table 1. Bacterial phyla identified in canine subgingival plaque.
Clones
Phyla Phylotypes Universal 1525 R
a
Universal 1492 R
b
Selective Spiro
c
Selective Bact
d
Total
Firmicutes 162 1,148 1,379 0 213 2,740
Proteobacteria 52 224 569 0 68 861
Bacteroidetes 43 213 516 0 420 1,149
Spirochaetes 37 17 22 366 4 409
Synergistetes 13 1 5 511 9 526
Actinobacteria 12 1 11 0 8 20
Fusobacteria 10 0 112 0 58 170
TM7 70 701320
Tenericutes 6 0 7 0 3 10
GN02 4 0 5 0 6 11
SR1 30 001313
Chlorobi 2 1 12 0 13 26
Chloroflexi 1 0 2 0 0 2
WPS-2 1 1 0 0 0 1
Total 353 1,606 2,647 877 828 5,958
a
Clones from libraries made using 9–27F (F24) and 1525–1541R (Y36) primers.
b
Clones from libraries made using expanded coverage 9–27F (F24/AE35) and 1492–1509R (C72) primers.
c
Clones from libraries made using ‘‘Spirochaetes-selective’’ F24/M98 primer pair.
d
Clones from libraries made using ‘‘Bacteroidetes-selective’’ F24/F01 primer pair.
doi:10.1371/journal.pone.0036067.t001
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 10 April 2012 | Volume 7 | Issue 4 | e36067
oidetes-selective’’ primers produced clones from 12 of 14 phyla
and appear to be useful in recovering a number of rare phyla/
candidate divisions. The recovery of taxa from diverse phyla was
clearly aided by using multiple primer sets for PCR of DNA prior
to library construction. Because this study used taxa selective
primers (as all studies ultimately do) to construct libraries, it is
impossible to say anything valid about relative abundance of
canine oral species from the abundance of clones recovered.
Taxa abundance
The rank abundance of clones for each canine oral taxon is
presented in Table S4 in supplemental materials. Because a variety
of primers with various biases were used for library construction,
the clone abundance data reflect only clone numbers found in
these libraries and cannot be used to validly infer the underlying
population structure. With the caveat noted, the most prevalent
taxa, Porphyromonas gingivicanis COT-022, constituted 5.3% of the
clones. Clones from 28 taxa were recovered at level of greater than
one percent. The 89 singleton clones were present as 0.017% of
5,958 clones identified. Of the 50 most common taxa, it is striking
that 40, or 80%, are unnamed. The taxon rank abundance profile
for this canine study is very similar to that previously found for the
human oral microbiome [4]. In the human study of about 35,000
clones, it was estimated that the number of taxa necessary to
identify 90%, 95% and 98% of the clones was 259, 423 and 655
taxa respectively. Assuming the canine and human oral cavities
contain about equal microbial diversity and similar rank
abundance profiles, 353 canine taxa should allow identification
of about 93% of clones in a study of similar size. This estimate is
approximate, but suggests that 353 taxa capture a significant
portion of the microbiome. While the current study provides good
initial coverage of the canine oral microbiome, the oral samples
examined were limited to the subgingival sites. Further studies
sampling other oral habitats such as teeth, tongue, cheek, hard and
soft palates, and tonsils will no doubt expand the number of canine
taxa to approach the more than 1,000 currently defined for the
human oral microbiome [4]. One goal of the current study was to
obtain essentially full length 16S rDNA reference sequences, which
are required for recognition and placement of previously
unrecognized rare taxa members such as those in candidate
divisions GN02 and WPS-2. Future studies using next generation
sequencing methods will no doubt sequence more deeply,
producing tens to hundreds of thousands of short sequences.
Studies require tradeoffs between sequence length (full length
better for phylogenetic studies), and sequence number (higher
numbers better for determining community composition).
Comparison of reference 16S rDNA sequences from the canine
oral cavity with those of the human oral cavity reveals that only
16.4% of the taxa are shared by BLASTN analysis at a threshold
of 98.5% sequence similarity (see taxa marked with filled circle in
Figs. 1, 2, 3, and 4). This indicates that there is a large divergence
in the oral microbiomes of divergent mammalian species. Of the
83.6% of taxa that differ, the differences are not only at the species
level, but also at genus through phylum levels. It is apparent from
the results presented here, however, that the majority of oral
bacteria from divergent mammalian species are unique and the
practice of naming mammalian (or even more distantly related
animal) isolates after the most phenotypically similar species from
humans is likely to be shown invalid by using molecular tools.
The Canine Oral Microbiome
The provisional taxonomic scheme presented in supplementary
materials Table S3, and the linked 16S rRNA reference sequences,
provide the most comprehensive resource to date for identifying
and referencing both the named and the 80% as yet unnamed
canine oral taxa. This sequence based identification resource
should facilitate future molecular studies of canine health and
disease as well as the zoonotic potential of canine oral microbes in
human and veterinary infectious diseases. The taxonomic scheme
presented here currently includes only those taxa for which clones
were identified in this study. It is anticipated future efforts will
expand this taxonomy and reference sequence set to include all
named canine-associated species, and isolates of novel taxa, for
which full length 16S rRNA sequences exist.
Conclusions
The results of this study provide the groundwork for describing
the diversity of taxa present in the canine oral cavity. The
provisional scheme of giving each taxon a canine oral taxon
number and placing it in a phylogenetic context should facilitate
future studies of the canine oral microbiome and its role in canine
health and disease. The canine oral microbiome is widely
divergent from that of human, hence these results will also help
in the interpretation of human microbiome studies where canine
oral bacteria appear to be present in large numbers in certain
human skin samples and in veterinary and human medical studies
where previously unnamed canine taxa are recovered from clinical
samples.
Supporting Information
Table S1 PCR and sequencing primers.
(DOCX)
Table S2 16S rDNA clones libraries.
(XLSX)
Table S3 Canine taxonomy.
(XLS)
Table S4 Rank abundance of clones in canine oral taxa.
(XLS)
Acknowledgments
We thank Sara Barbuto for her assistance in DNA sequencing and Liang
Yang for depositing sequences in GenBank.
Author Contributions
Conceived and designed the experiments: FED CMFB IJD MLB ZVMJ.
Performed the experiments: EAK ECT JMB LM. Analyzed the data: FED
TC IJD ZVMJ. Contributed reagents/materials/analysis tools: TC. Wrote
the paper: FED IJD ZVMJ.
References
1. van Leeuwenhoek A (1683) Letter of 17 September 1683 to the Royal Society,
London. Royal Society, MS L 1. 69.
2. Amann RI, Ludwig W, Schleifer KH (1995) Phylogenetic identification and in
situ detection of individual microbial cells without cultivation. Microbiological
reviews 59: 143–169.
3. Hugenholtz P, Goebel BM, Pace NR (1998) Impact of culture-independent
studies on the emerging phylogenetic view of bacterial diversity. Journal of
Bacteriology 180: 4765–4774.
4. Dewhirst FE, Chen T, Izard J, Paster BJ, Tanner AC, et al. (2010) The human
oral microbiome. Journal of Bacteriology 192: 5002–5017.
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 11 April 2012 | Volume 7 | Issue 4 | e36067
5. Allaker RP, de Rosayro R, Young KA, Hardie JM (1997) Prevalence of
Porphyromonas and Prevotella species in the dental plaque of dogs. The Veterinary
record 140: 147–148.
6. Fournier D, Mouton C, Lapierre P, Kato T, Okuda K, et al. (2001)
Porphyromonas gulae sp. nov., an anaerobic, gram-negative coccobacillus from
the gingival sulcus of various animal hosts. International journal of systematic
and evolutionary microbiology 51: 1179–1189.
7. Hardham J, Dreier K, Wong J, Sfintescu C, Evans RT (2005) Pigmented-
anaerobic bacteria associated with canine periodontitis. Veterinary microbiology
106: 119–128.
8. Elliott DR, Wilson M, Buckley CM, Spratt DA (2005) Cultivabl e oral
microbiota of domestic dogs. Journal of clinical microbiology 43: 5470–5476.
9. Frank JA, Reich CI, Sharma S, Weisbaum JS, Wilson BA, et al. (2008) Critical
evaluation of two primers commonly used for amplification of bacterial 16S
rRNA genes. Applied and Environmental Microbiology 74: 2461–2470.
10. Paster BJ, Dewhirst FE (1988) Phylogeny of campylobacters, wolinellas,
Bacteroides gracilis,andBacteroides ureolyticus by 16S ribosomal ribonucleic acid
sequencing. Int J Syst Bacteriol 38: 56–62.
11. Saitou N, Nei M (1987) The neighbor-joining method: a new method for
reconstructing phylogenetic trees. Mol Biol Evol 4: 406–425.
12. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, et al. (2011) MEGA5:
Molecular Evolutionary Genetics Analysis Using Maximum Likelihood,
Evolutionary Distance, and Maximum Parsimony Methods. Molecular biology
and evolution 28: 2731–2739.
13. Jukes T, Cantor C (1969) Evolution of protein molecules; Munro H, editor. New
York: Academic Press. pp 21–132.
14. Ashelford KE, Chuzhanova NA, Fry JC, Jones AJ, Weightman AJ (2006) New
screening software shows that most recent large 16S rRNA gene clone libraries
contain chimeras. Applied and Environmental Microbiology 72: 5734–5741.
15. Johnson M, Zaretskaya I, Raytselis Y, Merezhuk Y, McGinnis S, et al. (2008)
NCBI BLAST: a better web interface. Nucleic acids research 36: W5–9.
16. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, et al. (2006)
Greengenes, a chimera-checked 16S rRNA gene database and workbench
compatible with ARB. Appl Environ Microbiol 72: 5069–5072.
17. Collins MD, Lawson PA, Willems A, Cordoba JJ, Fernandez-Garayzabal J, et al.
(1994) The phylogeny of the genus Clostridium: proposal of five new genera and
eleven new species combinations. International journal of systematic bacteriol-
ogy 44: 812–826.
18. Ludwig W, Schleifer KH, Whitman WB (2009) Revised road map to the phylum
Firmicutes. In: De Vos P, G. Garrity, D. Jones, NR. Kreig, W. Ludwig, FA.
Rainey, eds. Bergey’s manual of systematic bacteriology. Second ed. New York:
Springer.
19. Marchandin H, Teyssier C, Campos J, Jean-Pierre H, Roger F, et al. (2010)
Negativicoccus succinicivorans gen. nov., sp. nov., isolated from human clinical
samples, emended description of the family Veillonellaceae and description of
Negativicutes classis nov., Selenomonadales ord. nov. and Acidaminococcaceae fam. nov.
in the bacterial phylum Firmicutes. International journal of systematic and
evolutionary microbiology 60: 1271–1279.
20. Pikuta EV, Hoover RB, Marsic D, Whitman WB, Lupa B, et al. (2009)
Proteocatella sphenisci gen. nov., sp. nov., a psychrotolerant, spore-forming
anaerobe isolated from penguin guano. International journal of systematic and
evolutionary microbiology 59: 2302–2307.
21. Janssen PH, Hugenholtz P (2003) Fermentation of glycolate by a pure culture of
a strictly anaerobic gram-positive bacterium belonging to the family Lachnospir-
aceae. Archives of microbiology 179: 321–328.
22. de Lillo A, Ashley FP, Palmer RM, Munson MA, Kyriacou L, et al. (2006) Novel
subgingival bacterial phylotypes detected using multiple universal polymerase
chain reaction primer sets. Oral microbiology and immunology 21: 61–68.
23. Hoyles L, Falsen E, Foster G, Collins MD (2002) Actinomyces coleocanis sp. nov.,
from the vagina of a dog. International journal of systematic and evolutionary
microbiology 52: 1201–1203.
24. Hirasawa M, Takada K (1994) Porphyromonas gingivicanis sp. nov. and
Porphyromonas crevioricanis sp. nov., isolated from beagles. International journal
of systematic bacteriology 44: 637–640.
25. Collins MD, Love DN, Karjalainen J, Kanervo A, Forsblom B, et al. (1994)
Phylogenetic analysis of members of the genus Porphyromonas and description of
Porphyromonas cangingivalis sp. nov. and Porphyromonas cansulci sp. nov. International
journal of systematic bacteriology 44: 674–679.
26. Hardham JM, King KW, Dreier K, Wong J, Strietzel C, et al. (2008) Transfer of
Bacteroides splanchnicus to Odoribacter gen. nov. as Odoribacter splanchnicus comb. nov.,
and description of Odoribacter denticanis sp. nov., isolated from the crevicular
spaces of canine periodontitis patients. International journal of systematic and
evolutionary microbiology 58: 103–109.
27. Garrity GM, Holt GH (2001) Phylum BXI. Chlorobi phy. nov. In: Boone DR,
Castenholz RW, eds. Bergey’s Manual of Systematic Bacteriology. Second ed.
New York: Springer. pp 601–623.
28. Iino T, Mori K, Uchino Y, Nakagawa T, Haray ama S, et al. (2010)
Ignavibacterium album gen. nov., sp. nov., a moderately thermophilic anaerobic
bacterium isolated from microbial mats at a terrestrial hot spring and proposal of
Ignavibacteria classis nov., for a novel lineage at the periphery of green sulfur
bacteria. International journal of systematic and evolutionary microbiology 60:
1376–1382.
29. Wouters EG, Ho HT, Lipman LJ, Gaastra W (2008) Dogs as vectors of
Streptobacillus moniliformis infection? Veterinary microbiology 128: 419–422.
30. Ley RE, Harris JK, Wilcox J, Spear JR, Miller SR, et al. (2006) Unexpected
diversity and complexity of the Guerrero Negro hypersaline microbial mat.
Applied and Environmental Microbiology 72: 3685–3695.
31. Harris JK, Kelley ST, Pace NR (2004) New perspective on uncultured bacterial
phylogenetic division OP11. Applied and Environmental Microbiology 70:
845–849.
32. Paster BJ, Boches SK, Galvin JL, Ericson RE, Lau CN, et al. (2001) Bacterial
diversity in human subgingival plaque. J Bacteriol 183: 3770–3783.
33. Hugenholtz P, Tyson GW, Webb RI, Wagner AM, Blackall LL (2001)
Investigation of candidate division TM7, a recently recognized major lineage of
the domain Bacteria with no known pure-culture representatives. Applied and
Environmental Microbiology 67: 411–419.
34. Aas JA, Paster BJ, Stokes LN, Olsen I, Dewhirst FE (2005) Defining the normal
bacterial flora of the oral cavity. J Clin Microbiol 43: 5721–5732.
35. Pei Z, Bini EJ, Yang L, Zhou M, Francois F, et al. (2004) Bacterial biota in the
human distal esophagus. Proc Natl Acad Sci U S A 101: 4250–4255.
36. Salzman NH, de Jong H, Paterson Y, Harmsen HJ, Welling GW, et al. (2002)
Analysis of 16S libraries of mouse gastrointestinal microflora reveals a large new
group of mouse intestinal bacteria. Microbiology 148: 3651–3660.
37. Nogales B, Moore ER, Llobet-Brossa E, Rossello-Mora R, Amann R, et al.
(2001) Combined use of 16S ribosomal DNA and 16S rRNA to study the
bacterial community of polychlorinated biphenyl-polluted soil. Applied and
Environmental Microbiology 67: 1874–1884.
38. Yabe S, Aiba Y, Sakai Y, Hazaka M, Yokota A (2010) Thermosporothrix hazakensis
gen. nov., sp. nov., isolated from compost, description of Thermosporotrichaceae
fam. nov. within the class Ktedonobacteria Cavaletti, et al. 2007 and emended
description of the class Ktedonobacteria. International journal of systematic and
evolutionary microbiology 60: 1794–1801.
39. Garrity GM, Holt GH (2001) Phylum BVI. Chloroflexi phy. nov. In: Boone DR,
RW. Castenholz, eds. Bergey’s Manual of Systematic Bacteriology. Second ed.
New York: Springer. pp 427–446.
40. Sekiguchi Y, Yamada T, Hanada S, Ohashi A, Harada H, et al. (2003)
Anaerolinea thermophila gen. nov., sp. nov. and Caldilinea aerophila gen. nov., sp. nov.,
novel filamentous thermophiles that represent a previously uncultured lineage of
the domain Bacteria at the subphylum level. International journal of systematic
and evolutionary microbiology 53: 1843–1851.
41. Yamada T, Sekiguchi Y, Hanada S, Imachi H, Ohashi A, et al. (2006) Anaerolinea
thermolimosa sp. nov., Levilinea saccharolytica gen. nov., sp. nov. and Leptolinea
tardivitalis gen. nov., sp. nov., novel filamentous anaerobes, and description of the
new classes Anaerolineae classis nov. and Caldilineae classis nov. in the bacterial
phylum Chloroflexi. International journal of systematic and evolutionary
microbiology 56: 1331–1340.
42. Allison JJ, Mayberry WR, McSweeney CS, Stahl DA (1992) Synergistes jonesii,
gen. nov.: A rumen bacterium that degrades toxic pyridinediols. System Appl
Microbiol 15: 522–529.
43. Downes J, Vartoukian SR, Dewhirst FE, Izard J, Chen T, et al. (2009)
Pyramidobacter piscolens gen. nov., sp. nov., a member of the phylum ‘Synergistetes
isolated from the human oral cavity. International journal of systematic and
evolutionary microbiology 59: 972–980.
The Canine Oral Microbiome
PLoS ONE | www.plosone.org 12 April 2012 | Volume 7 | Issue 4 | e36067
... As such, a number of scientific investigations have been conducted to understand the complexity of the canine oral microbiome. Characterisation of the microbiota has elucidated that only 16.4% of taxa are shared with the human oral cavity [5]. As a consequence, recent exploration into canine periodontal disease has focused on determining the associations of microbial taxa with periodontal health or disease, using high throughput sequencing (HTS) on samples collected from cross-sectional and longitudinal surveys spanning subsets of the clinical spectrum [6][7][8][9][10][11]. ...
... COT-017, 79.21%, was accepted given its close proximity to the cutoff (≥80%). Specificity of each assay's target detection was established by screening a library comprising 415 clones, representing different bacterial species of canine oral microbiota [5]. All 41 assays conformed to the threshold criteria, confirming that cross reactivity was sufficiently low to be considered negligible. ...
... All probes were designed with a fluorescein based (FAM) reporter dye, and TaqMan minor groove binder (MGB) or black hole quencher (BHQ), respectively. Briefly, in house assays were designed using full length consensus 16S sequences from a clone library, developed for a previous study to characterise canine oral microbiota [5]. Sequences were aligned in Vector NTI with the AlignX tool (Invitrogen™, Thermo Fisher Scientific Inc.) to enable regions of greatest variation to be identified around the 16S rRNA variable regions V1 and V2. ...
Article
Full-text available
Background Dental plaque microbes play a key role in the development of periodontal disease. Numerous high-throughput sequencing studies have generated understanding of the bacterial species associated with both canine periodontal health and disease. Opportunities therefore exist to utilise these bacterial biomarkers to improve disease diagnosis in conscious-based veterinary oral health checks. Here, we demonstrate that molecular techniques, specifically quantitative polymerase chain reaction (qPCR) can be utilised for the detection of microbial biomarkers associated with canine periodontal health and disease. Results Over 40 qPCR assays targeting single microbial species associated with canine periodontal health, gingivitis and early periodontitis were developed and validated. These were used to quantify levels of the respective taxa in canine subgingival plaque samples collected across periodontal health (PD0), gingivitis (PD1) and early periodontitis (PD2). When qPCR outputs were compared to the corresponding high-throughput sequencing data there were strong correlations, including a periodontal health associated taxa, Capnocytophaga sp. COT-339 (rs =0.805), and two periodontal disease associated taxa, Peptostreptococcaceae XI [G-4] sp. COT-019 (rs=0.902) and Clostridiales sp. COT-028 (rs=0.802). The best performing models, from five machine learning approaches applied to the qPCR data for these taxa, estimated 85.7% sensitivity and 27.5% specificity for Capnocytophaga sp. COT-339, 74.3% sensitivity and 67.5% specificity for Peptostreptococcaceae XI [G-4] sp. COT-019, and 60.0% sensitivity and 80.0% specificity for Clostridiales sp. COT-028. Conclusions A qPCR-based approach is an accurate, sensitive, and cost-effective method for detection of microbial biomarkers associated with periodontal health and disease. Taken together, the correlation between qPCR and high-throughput sequencing outputs, and early accuracy insights, indicate the strategy offers a prospective route to the development of diagnostic tools for canine periodontal disease.
... Te advancement in bacterial identifcation with polymerase chain reaction (PCR) amplifed 16S sequences. Dewhirst et al. found that the bacterial content in the dog mouth difers from that in the human mouth, and there were only 16.4% shared bacterial types in the dogs and human [47]. Ruparell et al. compared the microbiota from diferent areas within the canine oral cavity and found three niches (soft tissue surface, hard tissue surface, or dental plaque and saliva) in which the bacterial community profles difered [33]. ...
... In human medicine, the oral microbiomes of diseases and healthy people are diferent from those of dogs according to the sequencing method [30]. Terefore, there seem to be considered diferences between the oral microbiomes of the diferent species [31,33,47,64,65]. Tis study aimed to identify oral bacterial samples from dogs with no oral mass and clinical oral tumor-bearing dogs. ...
... However, our results did not interfere by the DNA component of dead bacteria that can be detected by the advance sequencing methods in the previous studies [34]. Te most abundant bacterial phyla from the oral swab in this study were not similar as the study of McDonald et al. [81] and Dewhirst et al. [47]. Our data was similar to the study of Ruparell et al. [33]; this may be the result of the site of sample collection and the sample preparation for bacterial identifcation. ...
Article
Full-text available
Canine oral cancers have a poor prognosis and are related to chronic inflammation. This may pose a risk of secondary bacterial infection. This study aimed to compare the bacteria isolated from oral swab samples, values of C-reactive proteins (CRPs), and clinical blood profiles of dogs with and without oral mass. A total of 36 dogs were divided in three groups: no oral mass (n = 21), oral mass (n = 8), and metastasis groups (n = 7). Significantly, both the clinical groups (the oral mass group and metastasis group) showed anemia, a decrease in the albumin-to-globulin ratio (AGR), and an increase in the neutrophil-to-lymphocyte ratio (NLR), globulin-to-albumin ratio (GAR), CRP, and CRP-to-albumin ratio (CAR) compared to the normal group. CAR showed an increasing trend in the oral mass and metastasis groups (10 times and 100 times, respectively) compared to the no oral mass group ( P < 0.001 ). Neisseria spp. (20.78%) was the main isolated bacteria in all groups. The main genera in the no oral mass group were Neisseria spp. (28.26%), Pasteurella spp. (19.57%), and Staphylococcus spp. (19.57%). Neisseria spp., Staphylococcus spp., Klebsiella spp., and Escherichia spp. were found equally (12.5%) in the oral mass group. Escherichia spp. (26.67%), Pseudomonas spp. (13.33%), and Staphylococcus spp. (13.33%) were the main genera in the metastasis group. Interestingly, Neisseria spp. decreased in the clinical groups (Fisher’s exact = 6.39, P = 0.048 ), and Escherichia spp. increased in the metastasis group (Fisher’s exact = 14.00, P = 0.002 ). The difference of oral bacteria in clinical dogs compared to healthy dogs may be related to microbiome alterations, and both the clinical groups showed the increment of inflammatory biomarkers. This suggested that further studies should be conducted on the correlation between the specific bacteria, CRP, blood clinical parameters, and type of canine oral mass.
... The oral cavity of dogs is one of the body regions inhabited by a wide variety of microorganisms, including aerobic and anaerobic bacteria [1]. Despite the complex microbiota of the oral cavities of dogs, including well-known zoonotic bacteria, e.g., Pasteurella, Staphylococcus, Capnocytophaga, and Fusobacterium species, a restricted number of comprehensive studies have focused on the complexity of the aerobic, anaerobic, and fungal/yeast microbiota that resides in the oral cavities of healthy dogs [2,3]. ...
... Besides the identification of anaerobes Fusobacterium and Porphyromonas organisms using next-generation sequencing, there was no identification of Clostridium species among the studied dogs. Conversely, it was identified in the USA in studies using microbiological culture from human wounds caused by dog bites [41] and next-generation sequencing in dog oral cavities [3], indicating that anaerobic agents should be considered in the diagnosis of skin lesions in humans after dog bites and should be focused on in similar further studies. ...
Article
Full-text available
The high complexity of the oral microbiota of healthy dogs and the close exposure of humans to companion animals represent a risk of the transmission of potential zoonotic microorganisms to humans, especially through dog bites, including multidrug-resistant ones. Nonetheless, a limited number of comprehensive studies have focused on the diversity of the microorganisms that inhabit the oral cavities of healthy dogs, particularly based on modern molecular techniques. We investigated bacterial and fungal organisms in the oral cavities of 100 healthy dogs based on a combination of conventional and selective microbiological culture, mass spectrometry (MALDI-TOF MS), and next-generation sequencing. In addition, in vitro antimicrobial susceptibility patterns of isolates and mecA resistance gene were assessed. A total of 213 bacteria and 20 fungi were isolated. Staphylococcus pseudintermedius (40/100 = 40%), α-hemolytic Streptococcus (37/100 = 37%), and Pasteurella stomatis (22/100 = 22%) were the most prevalent bacteria diagnosed by microbiological culture and MALDI-TOF MS, whereas Aspergillus (10/100 = 10%) was the most common fungi identified. Based on next-generation sequencing of selected 20 sampled dogs, Porphyromonas (32.5%), Moraxella (16.3%), Fusobacterium (12.8%), Conchiformibius (9.5%), Bergeyella (5%), Campylobacter (3.8%), and Capnocytophaga (3.4%) genera were prevalent. A high multidrug resistance rate was observed in Staphylococcus pseudintermedius isolates, particularly to azithromycin (19/19 = 100%), penicillin (15/19 = 78.9%), and sulfamethoxazole/trimethoprim (15/19 = 78.9%). In addition, the mecA resistance gene was detected in 6.1% (3/49) of coagulase-positive staphylococci. Here, we highlight the microbial complexity of the oral mucosa of healthy dogs, including potential zoonotic microorganisms and multidrug-resistant bacteria, contributing with the investigation of the microbiota and antimicrobial resistance patterns of the microorganisms that inhabit the oral cavity of healthy dogs.
... Rothia takes a role in maintaining homeostasis in the oral microbiome of specific animal models. 40 In general, commensal bacteria were associated with reduced risk for HNSCC because they characterize a healthy oral microbiome that prevents disease development. ...
Article
Full-text available
Objectives: The relationship between head and neck squamous cell carcinoma (HNSCC) and the oral microbiome has been drawn in various studies. Microbial diversities, microbiome profiles, metagenomic analysis, and host-pathogen interactions were collected from these studies to highlight similarities and account for inconsistencies. We also evaluate the possible clinical applications of the microbiome regarding screening and diagnosis of HNSCC. Methods: Systematic analysis of studies regarding HNSCC and the microbiome was done according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines. Articles were retrieved from four databases (PubMed, ScienceDirect, CUHK Full-Text Journals, and Cochrane database) and were screened using predefined criteria. Results: Twenty studies were chosen after screening for full-text review. α-diversity comparison was inconsistent whereas β-diversity between HNSCC and normal samples showed distinct clustering. Microbial dysbiosis characterized by change in the relative abundances of several bacterial species were also seen in HNSCC patients. At a phylum level, inconsistencies were seen between studies using HNSCC tumor tissue samples and saliva samples. At a genus level, Fusobacterium, Peptostreptococcus, Alloprevotella, Capnocytophaga, Catonella, and Prevotella were differentially enriched in HNSCC while Streptococcus, Actinomyces Veillonella, and Rothia were differentially depleted. Co-occurrence network analysis revealed a positive correlation of HNSCC with periodontal pathogens and a negative correlation with commensal bacteria. Metagenomic analysis of microbiota revealed a differential enrichment of pro-inflammatory genomic pathways which was consistent across various studies. Microbial dysbiosis was applied in clinical use as a tool for HNSCC screening. Random-forest analysis was adopted to differentiate between tumor and normal tissue, at 95.7% and 70.0% accuracies respectively in two studies. Microbial dysbiosis index was also used to predict prognosis. Conclusions: Oral microbial dysbiosis could be a promising tool for HNSCC screening and diagnosis. However, more research should be conducted pertaining to clinical applications to improve diagnostic accuracy and explore other clinical uses.
... Fusobacterium is also an abundant inhabitant of the canine gut microbiota [49,50]. Taxa from the Pasteurellaceae family have been isolated from pharyngeal swabs in dogs [51], and Pasteurellaceae, Friedmanniella, and Streptococcus are also known components of the canine oral microbiota [52,53]. Taxonomic resolution at the species or strain level would allow better interpretation of these findings, though one possibility is that oral contamination secondary to grooming or other behaviors accounts for the overabundance of these microbes in voided urine. ...
Article
Full-text available
Background The urinary tract harbors unique microbial communities that play important roles in urogenital health and disease. Dogs naturally suffer from several of the same urological disorders as humans (e.g., urinary tract infections, neoplasia, urolithiasis) and represent a valuable translational model for studying the role of urinary microbiota in various disease states. Urine collection technique represents a critical component of urinary microbiota research study design. However, the impact of collection method on the characterization of the canine urinary microbiota remains unknown. Therefore, the objective of this study was to determine whether urine collection technique alters the microbial populations detected in canine urine samples. Urine was collected from asymptomatic dogs by both cystocentesis and midstream voiding. Microbial DNA was isolated from each sample and submitted for amplicon sequencing of the V4 region of the bacterial 16 S rRNA gene, followed by analyses to compare microbial diversity and composition between urine collection techniques. Results Samples collected via midstream voiding exhibited significantly higher sequence read counts (P = .036) and observed richness (P = .0024) than cystocentesis urine. Bray Curtis and Unweighted UniFrac measures of beta diversity showed distinct differences in microbial composition by collection method (P = .0050, R² = 0.06 and P = .010, R² = 0.07, respectively). Seven taxa were identified as differentially abundant between groups. Pasteurellaceae, Haemophilus, Friedmanniella, two variants of Streptococcus, and Fusobacterium were over-represented in voided urine, while a greater abundance of Burkholderia-Caballeronia-Paraburkholderia characterized cystocentesis samples. Analyses were performed at five thresholds for minimum sequence depth and using three data normalization strategies to validate results; patterns of alpha and beta diversity remained consistent regardless of minimum read count requirements or normalization method. Conclusion Microbial composition differs in canine urine samples collected via cystocentesis as compared to those collected via midstream voiding. Future researchers should select a single urine collection method based on the biological question of interest when designing canine urinary microbiota studies. Additionally, the authors suggest caution when interpreting results across studies that did not utilize identical urine collection methods.
... Sequencing of PCR-amplified 16S rRNA genes from five seal pups revealed that bacterial assemblages found in the kekeno oral cavity are similar to previously reported oral bacteria from some dolphins and sea lions (Bik et al. 2016). The oral cavity of kekeno pups also shows a high incidence of Firmicutes, as seen in the gut microbiomes of Arctic and Subarctic seals, but particularly common were Lachnospiraceae and Streptococcaceae spp., often seen in the oral cavities of canines (Dewhirst et al. 2012). ...
Article
Full-text available
Microbiome research is revealing the profound effects that microbial inhabitants can have on their animal hosts. Recent and rapid advances in sequencing technologies have allowed biologists to characterise the microbial constituents of a variety of host organisms, giving greater insights into these intimate relationships than ever before. For many animal species, microbiomes serve as an interface between host and environment, with associated microorganisms playing functional roles in nutrition, immunity, reproduction, and even behaviour. In this Review, we offer a brief overview of microbiome research methodology before summarising previous and ongoing research into the microbiomes of native New Zealand animals. Our unique endemic fauna, evolved during tens of millions of years of geographic isolation, offers exciting opportunities for microbiome research across a range of diverse taxa and we highlight key findings of relevant studies. Moreover, while recognising the crucial role that 16S rRNA gene sequencing plays in microbiome research, we conclude the Review with a look beyond 16S and consider what other technologies can bring to this field. We encourage further investigation into the functional roles of microbial species across a broader range of host-animal taxa across New Zealand, both in wild and captive states.
... Recent studies have revealed a large diversity of bacterial species in the subgingival plaque of cats and dogs. There are also extensive differences between the microbiome identified in companion animals and humans [4][5][6]. Although healthy animals of the same species have similar composition of the oral microbiome, it changes with periodontal disease [7]. ...
Article
Full-text available
Although gingivitis frequently occurs in young cats, spirochetes are often found in the early stages of periodontal disease. This study was conducted to determine the association between gingivitis and oral spirochetes in young cats and dogs. The degree of gingivitis was evaluated in a total of 68 cats and 31 dogs under one year of age, and plaques were collected from each carnassial. To detect spirochetes or Porphyromonas gulae in plaque samples, 16S rRNA gene was amplified by polymerase chain reaction (PCR) using specific primers. All data were analyzed using Fisher’s exact probability test and odds ratio (OR) with a 95% confidence interval (95% CI). The prevalence of gingivitis was significantly higher in young cats (92.6%) than in young dogs (45.2%). The positive rate of spirochetes by PCR in gingivitis cases was 85.4% in young cats and 15.4% in young dogs, and the positive rate of P . gulae was 66.7% in young cats and 15.4% in young dogs. Both results were significantly higher in young cats than in young dogs. In young cats, spirochetes were significantly associated with gingivitis (OR = 7.95; 95% CI = 1.17, 53.83; P < 0.05), but P . gulae was not (OR = 2.44; 95% CI = 0.38, 15.66; P = 0.23). These results suggest that spirochetes may be associated with the early stages of periodontal disease in cats.
... However, the genus also forms a part of the microbiome of carbonized thrombolites found in shallow, subpolar freshwater Laguna Larga in southern Chile 92 . Another interesting fact is that Proteocatella spp. is known as a component of feline 93 and canine 94,95 dental plaque that may mineralize and become dental calculus 96 . Therefore, species of the genus Proteocatella might have supported the calcite precipitation in crayfish carcasses of Exp. 1 and Exp. 3 and might be one of the genera responsible for fossilization. ...
Article
Full-text available
Fossilization processes and especially the role of bacterial activity during the preservation of organic material has not yet been well understood. Here, we report the results of controlled taphonomic experiments with crayfish in freshwater and sediment. 16S rRNA amplicon analyzes showed that the development of the bacterial community composition over time was correlated with different stages of decay and preservation. Three dominating genera, Aeromonas, Clostridium and Acetobacteroides were identified as the main drivers in the decomposition of crayfish in freshwater. Using micro-computed tomography (µ-CT), scanning electron microscopy (SEM) and confocal Raman spectroscopy (CRS), calcite clusters were detected after 3–4 days inside crayfish carcasses during their decomposition in freshwater at 24 °C. The precipitation of calcite clusters during the decomposition process was increased in the presence of the bacterial genus Proteocatella. Consequently, Proteocatella might be one of the bacterial genera responsible for fossilization.
Preprint
Full-text available
Periodontal disease (PD) is a prevalent inflammatory disease in dogs and humans triggered by bacterial plaque in the periodontal tissue, ranging from early stages (gingivitis) to advanced stages (periodontitis). This study aimed to comprehend how the bacterial microbiome in the dog plaque shifts as PD advances. We profiled the bacterial communities in plaque samples from 48 dogs at various PD stages. We also examined the effects of a two-week tooth brushing treatment on bacterial microbiome in 9 dogs diagnosed with PD. We revealed that PD severity in dogs correlates with age. As PD severity increased, the prevalence of Porphyromonas, Fusobacterium, Treponema , and Moraxella rose, while Conchiformibius, Neisseria, Actinomyces , and Pasteurella declined. Linear discriminant effective size (LEfSe) analysis suggests that Conchiformibius may be linked to oral health, while Porphyromonas is associated with PD progression. Notably, brushing with a gel may reduce the prevalence of Porphyromonas . Further studies are warranted to explore PD prevention or treatment strategies.
Article
The human microbiome is the collection of microbes across both internal and external body sites that exist mutualistically with each person. There is a strong correlation between diverse microbial communities and improved health. Many factors influence microbial diversity including diet, exercise, medication use, and pet ownership. Canine ownership is touted as a direct and indirect means to combat modern overly hygienic conditions due to increased exposure to microbes in the outside environment. To examine this effect on maternal and fetal health, large-scale comparisons were made between various canine and human microbiomes. Microbes can be transferred from the mother’s gut, skin, oral, respiratory, vaginal, and placental microbiomes to her bloodstream and immune system. Here microbes are passed to the amniotic cavity where the fetus benefits from early exposure to these diverse microbes. Studies have consistently shown that canine ownership is linked to greater microbial diversity in both the mother and fetus. This includes beneficial microbes such as Lactobacillus species which decrease the risk of asthma and allergic reactions. It also confers benefits by decreasing the concentration of pathogenic or opportunistic microbes such as Ureaplasma, which is linked to preterm birth. The metabolites of these microbes also serve valuable roles, including short-chain fatty acids that provide a strengthened intestinal barrier and decreased HPA overactivity. This increased microbial diversity also correlates with enhanced immune system functioning as seen by decreased rates of allergic diseases, hypothalamic-pituitary-adrenal axis over-reactivity, inflammatory cytokines, and IgE-mediated reactions while enhancing NK cell function. This microbial diversity helps to prevent short-term negative outcomes including preterm birth and neonatal infections as well as long-term outcomes including cancer, diabetes, depression, dementia, gastrointestinal disease, and cardiovascular disease.
Article
Full-text available
Partial 16s ribosomal ribonucleic acid sequences were determined for Campylobacter concisus, Campylobac- ter fetus subsp. intestinalis, Campylobacter sputorum subsp. bubulus, Wolinella curva, Wolinella recta, Wolinella succinogenes, Bacteroides gracilis, and Bacteroides ureolyticus. These sequences were compared with previously published sequences of Campylobacter laridis, Campylobacter jejuni, Campylobacter coli, Campylobacter pylon', Thiovulum sp., Escherichia coli, and Bacteroides fragilis, and percentages of homology were calculated. With the exception of C. pylori, all of the campylobacters formed a tight phylogenetic cluster. Within this cluster were the following organisms that have been classified as species of Wolinella and Bacteroides: W. curva, W. recta, B. gracilis, and B. ureolyticus. The average level of interspecies homology within this group was 94.4%. W. succinogenes and C. pylori formed a second cluster with a level of interspecies homology of 90.4%. The average level of homology of the W. succinogenes-C. pylori cluster with species of the campylobacter cluster was 85.1 % . Thiovulum sp. was only 83% homologous with either of the two clusters. Based upon the sequence data, we suggest that all members of the campylobacter cluster should be placed in the genus Campylobacter. However, formal resolution of the taxonomic status of the campylobacter cluster may require additional information provided by other experimental methods.
Article
The frequent discrepancy between direct microscopic counts and numbers of culturable bacteria from environmental samples is just one of several indications that we currently know only a minor part of the diversity of microorganisms in nature. A combination of direct retrieval of rRNA sequences and whole-cell oligonucleotide probing can be used to detect specific rRNA sequences of uncultured bacteria in natural samples and to microscopically identify individual cells. Studies have been performed with microbial assemblages of various complexities ranging from simple two-component bacterial endosymbiotic associations to multispecies enrichments containing magnetotactic bacteria to highly complex marine and soil communities. Phylogenetic analysis of the retrieved rRNA sequence of an uncultured microorganism reveals its closest culturable relatives and may, together with information on the physicochemical conditions of its natural habitat, facilitate more directed cultivation attempts. For the analysis of complex communities such as multispecies biofilms and activated-sludge flocs, a different approach has proven advantageous. Sets of probes specific to different taxonomic levels are applied consecutively beginning with the more general and ending with the more specific (a hierarchical top-to-bottom approach), thereby generating increasingly precise information on the structure of the community. Not only do rRNA-targeted whole-cell hybridizations yield data on cell morphology, specific cell counts, and in situ distributions of defined phylogenetic groups, but also the strength of the hybridization signal reflects the cellular rRNA content of individual cells. From the signal strength conferred by a specific probe, in situ growth rates and activities of individual cells might be estimated for known species. In many ecosystems, low cellular rRNA content and/or limited cell permeability, combined with background fluorescence, hinders in situ identification of autochthonous populations. Approaches to circumvent these problems are discussed in detail.
Article
The frequent discrepancy between direct microscopic counts and numbers of culturable bacteria from environmental samples is just one of several indications that we currently know only a minor part of the diversity of microorganisms in nature. A combination of direct retrieval of rRNA sequences and whole-cell oligonucleotide probing can be used to detect specific rRNA sequences of uncultured bacteria in natural samples and to microscopically identify individual cells. Studies have been performed with microbial assemblages of various complexities ranging from simple two-component bacterial endosymbiotic associations to multispecies enrichments containing magnetotactic bacteria to highly complex marine and soil communities. Phylogenetic analysis of the retrieved rRNA sequence of an uncultured microorganism reveals its closest culturable relatives and may, together with information on the physicochemical conditions of its natural habitat, facilitate more directed cultivation attempts. For the analysis of complex communities such as multispecies biofilms and activated-sludge flocs, a different approach has proven advantageous. Sets of probes specific to different taxonomic levels are applied consecutively beginning with the more general and ending with the more specific (a hierarchical top-to-bottom approach), thereby generating increasingly precise information on the structure of the community. Not only do rRNA-targeted whole-cell hybridizations yield data on cell morphology, specific cell counts, and in situ distributions of defined phylogenetic groups, but also the strength of the hybridization signal reflects the cellular rRNA content of individual cells. From the signal strength conferred by a specific probe, in situ growth rates and activities of individual cells might be estimated for known species. In many ecosystems, low cellular rRNA content and/or limited cell permeability, combined with background fluorescence, hinders in situ identification of autochthonous populations. Approaches to circumvent these problems are discussed in detail.
Article
A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
Chapter
The Chlorobi share a common root with Bacteroidetes in both of the major reference trees. At present, the phylum contains a single class, order, and family. Gram-negative, spherical, ovoid, straight, or curved rod-shaped Bacteria. Strictly anaerobic, obligately phototrophic. Cells grow preferentially by photoassimilation of simple organic compounds. Some species may utilize sulfide or thiosulfate as an electron donor for CO2 accumulation. Sulfur globules accumulate on the outside of the cells when grown in the presence of sulfide and light, and sulfur is rarely oxidized further to sulfate. Ammonia and dinitrogen used as the nitrogen source. Most genera require one or more growth factors; the most common are biotin, thiamine, niacin, and p-aminobenzoic acid.
Chapter
The phylum Chloroflexi is a deep branching lineage of Bacteria The single class within Chloroflexi subdivides into two orders: the “Chloroflexales” and the “Herpetosiphonales”. Gram-negative, filamentous Bacteria. exhibiting gliding motility. Peptidoglycan contains L-ornithine as the diamino acid. Lipopolysaccharide-containing outer membrane not present.
Article
A hitherto undescribed Actinomyces-like bacterium was isolated from the vagina of a dog. Biochemical testing and PAGE analysis of whole-cell proteins indicated that the isolate was phenotypically different from previously described Actinomyces species and related taxa. Sequencing of 165 rRNA showed that the unknown bacterium was distinct from all currently known Actinomyces species. Phylogenetically, the unidentified organism displayed a specific association with Actinomyces europaeus, but a sequence divergence of > 5% demonstrated that it represents a distinct species. Based on both phenotypic and 165 rRNA sequence considerations, it is proposed that the unknown strain from a dog be classified as a novel species, Actinomyces coleocanis sp. nov. The type strain is CCUG 41708T (= CIP 106873T).
Article
This study was conducted to identify and characterize rumen bacteria that are able to degrade the toxic compound, 3-hydroxy-4(lH)-pyridone (3,4 DHP), that is produced in the rumen from mimosine. Mimosine is a non-protein amino acid that is found in leaves and seeds of Leucaena leucocephala, a leguminous tree used as a forage crop for ruminants in the tropics, and degradation of 3,4 DHP by ruminal microbes is critical for protection of animals from leucaena toxicity. Microbes with this capacity are, however, not ubiquitous and microbial populations in the rumens of animals in some parts of the world are unable to metabolize 3,4 DHP. Four strains of obligately anaerobic, gram-negative, rod-shaped bacteria that degrade 3,4 DHP were isolated from rumen contents from a goat in Hawaii. The isolates do not ferment carbohydrates, but are able to use both 3,4 DHP and its isomer, 3-hydroxy-2(lH)-pyridone (2,3 DHP), as well as arginine and histidine as substrates for growth. Comparisons of the 16S rRNA sequence from one of these isolates with sequences from a widely diverse group of bacteria agree with other information indicating that these isolates do not fit into any existing taxon. Thus, we are hereby proposing a new genus and species designation, Synergistes jonesii, for these organisms.
Conference Paper
Objectives: For the past six years our group has been supported by NIDCR grant DE016937 to fulfil the following major goals: 1) To create a publically available database with access to a curated taxonomic scheme for provisional naming of the more than 600 oral taxa, and to allow viewing of annotated genomes for all sequenced oral bacteria; 2) To prepare DNA from phylogenetically diverse oral bacteria for genome sequencing by the Human Microbiome Project (HMP) sequencing centers; and 3) To identify isolates of previously uncultivated oral taxa and deposit them with a major culture collection. Methods: Our approach to this this project has been described extensively in the publication (Dewhirst et al. 2010. J. Bacteriol 192:5002-17). Results: The HOMD database currently contains 574 annotated genomes of oral bacteria from 184 taxa (multiple genomes being available for a few taxa). We have sent DNA from 173 oral strains representing 154 taxa to the HMP sequencing centers. Of the 173 strains, 120 are from named taxa and 53 from unnamed taxa. Examination of the Wade, Tanner and Moore’s culture collections by 16S rRNA sequencing has allowed us to identify strains for over 200 previously uncultivated oral taxa. The majority of these isolates represent Human Oral Taxa (HOT) known previously as phylotypes, but a few are totally novel and are assigned new HOT numbers. These isolates will have their genomes sequenced and be deposited with the BEI/ATCC resource. Conclusions: Our group has created the Human Oral Microbiome Database as a bioinformatics resource for the scientific community. We have been the major contributor of highly purified DNA for generating reference genomes for the oral microbiome as part of the HMP. We have successfully identified strains from a large number of previously uncultivated oral taxa and are making them available through a permanent culture collection.