ArticlePDF Available

The 5300-year-old Helicobacter pylori genome of the Iceman

Authors:

Abstract and Figures

Stomach ache for a European mummy Five thousand years ago in the European Alps, a man was shot by an arrow, then clubbed to death. His body was subsequently mummified by ice until glacier retreat exhumed him in 1991. Subsequently, this ancient corpse has provided a trove of intriguing information about copper-age Europeans. Now, Maixner et al. have identified the human pathogen Helicobacter pylori within the mummy's stomach contents. The strain the “Iceman” hosted appears to most closely resemble pathogenic Asian strains found today in Central and Southern Asia. Science , this issue p. 162
Content may be subject to copyright.
microbial function spanning terrestrial ecosys-
tems, and though plant inputs are the dominant
source of organic matter, vertebrate corpse inputs
can be important resources (5,6). For example,
one rain forest in Panama was estimated to receive
750 kg in mammal corpses annually per square
kilometer (12). Although this represents less than
1% of the mass of plant litter received by another
Panamanian rain forest (13), corpse nutrient
sources can be an order of magnitude more con-
centrated than plant litter (5), and direct com-
parisons between plant and animal decomposition
resources are rare (14). Thus, much is still unclear
about the role of corpse inputs in larger-scale
biogeochemical cycling (e.g., global carbon and
nitrogen cycling) and in supporting specific com-
munities and microbial diversity (14), and our
results provide an important microbial perspective.
Asocietalimpactoftheseresultsisthevalueof
microbial data as physical evidence in medico-
legal death investigation. We show that decom-
poser microbial communities could potentially
serve as temporal (succession-based) and spatial
(origin-based) (supplementary text) forms of
physical evidence, such as the time elapsed since
death (PMI) and the location of death. Our obser-
vation that postmortem microbial communities
changed in a clock-like manner that provided
an estimate of absolute PMI is similar to using
the development of fly larvae to estimate PMI.
However, the fly larvae PMI proxy is limited by
corpse accessibility and season, resulting in PMI
estimates in the range of weeks, months, and
even years (15). Taken together, our findings dem-
onstrate that postmortem microorganisms can
provide both spatial and temporal insight into
the events surrounding death.
REFERENCES AND NOTES
1. J. A. Gilbert, J. D. Neufeld, PLOS Biol. 12, e1002020
(2014).
2. R. R. Parmenter, J. A. MacMahon, Ecol. Monogr. 79, 637661
(2009).
3. M. Swift, O. Heal, J. Anderson, Decomposition in Terrestrial
Ecosystems (Blackwell Scientific, Oxford, 1979).
4. J. C. Moore et al., Ecol. Lett. 7, 584600 (2004).
5. D. O. Carter, D. Yellowlees, M. Tibbett, Naturwissenschaften 94,
1224 (2007).
6. P. S. Barton, in Carrion Ecology, Evolution, and Their
Applications, M. E. Benbow, J. K. Tomberlin, A. M. Tarone, Eds.
(CRC Press, 2015), pp. 273292.
7. J. L. Metcalf et al., eLife 2, e01104 (2013).
8. J. L. Pechal et al., Int. J. Legal Med. 128, 193205 (2014).
9. E. R. Hyde, D. P. Haarmann, J. F. Petrosino, A. M. Lynne,
S. R. Bucheli, Int. J. Legal Med. 129, 661671 (2015).
10. W. E. D. Evans, The Chemistry of Death (Charles C Thomas,
Springfield, IL, 1963).
11. M. G. I. Langille et al., Nat. Biotechnol. 31,814821 (2013).
12. D. Houston, in Neotropical Ornithology (American Orn ithologists
Union Monograph no. 36, Washington, DC, 1985), pp. 856864.
13. M. Kaspari et al., Ecol. Lett. 11,3543 (2008).
14. P. S. Barton, S. A. Cunningham, D. B. Lindenmayer,
A. D. Manning, Oecologia 171, 761772 (2013).
15. J. Amendt et al., Int. J. Legal Med. 121,90104 (2007).
ACKNOWL EDGME NTS
The data reported in this paper are available in the Qiita database
(http://qiita.ucsd.edu/) (accession numbers 10141 to 10143 and
10321) and the European Bioinformatics Institute European
Nucleotide Archive (www.ebi.ac.uk/ena) (accession numbers
ERP012866, ERP012879, ERP012880, and ERP012894). We thank
the donors and their families for their contribution to scientific
research; the STAFS Facility at SHSU and the Molecular, Cellular,
and Developmental Biology Transgenic Facility at the University of
Colorado, Boulder, for providing the space and opportunity for this
research; N. Fierer, J. Zelikova, and J. Leff for assistance with
project logistics and data processing; and the Mountain Research
Station and Shortgrass Steppe Long Term Ecological Research for
permission to collect soils. Mice were euthanized humanely under
approved protocol no. 08-04-ACK-01 (principal investigator G.A.).
This research was funded by the Office of Justice Programs
National Institute of Justice Awards NIJ-2011-DN-BX-K533 (J.L.M.,
D.O.C., R.K.) and NIJ-2012-DN-BX-K023 (S.R.B. and A.M.L.).
Research capacity and infrastructure at Chaminade University of
Honolulu is supported by NIH Building Research Infrastructure and
Capacity Program P789097-876. W.V.T. and S.W. were supported
by the National Human Genome Research Institute grant 3 R01
HG004872-03S2, and NIH grant 5 U01 HG004866-04. J.L.M. was
partially supported by a Templeton Foundation grant (R.K. and
V. McKenzie). Use of trade, product, or firm names is for
informational purposes only and does not constitute an
endorsement by the U.S. government. J.F.P. is Chief Scientific
Officer and Founder of Diversigen; C.N. is an employee of miRagen
Therapeutics; and R.K. is Chief Science Officer and employee of
Biota Technology, a member of the Scientific Advisory Panel at
Temasek Life Sciences Laboratory, and a speaker at Nestec, Nestle
Research Center.
SUPPLEMENTARY MATERIALS
www.sciencemag.org/content/351/6269/158/suppl/DC1
Materials and Methods
Supplementary Text
Figs. S1 to S19
Tables S1 to S20
References (1629)
19 August 2015; accepted 25 November 2015
Published online 10 December 2015
10.1126/science.aad2646
ANCIENT MICROBIOME
The 5300-year-old Helicobacter pylori
genome of the Iceman
Frank Maixner,
1
*Ben Krause-Kyora,
2
Dmitrij Turaev,
3
Alexander Herbig,
4,5
Michael R. Hoopmann,
6
Janice L. Hallows,
6
Ulrike Kusebauch,
6
Eduard Egarter Vigl,
7
Peter Malfertheiner,
8
Francis Megraud,
9
Niall OSullivan,
1
Giovanna Cipollini,
1
Valentina Coia,
1
Marco Samadelli,
1
Lars Engstrand,
10
Bodo Linz,
11
Robert L. Moritz,
6
Rudolf Grimm,
12
Johannes Krause,
4,5
Almut Nebel,
2
Yoshan Moodley,
13,14
Thomas Rattei,
3
Albert Zink
1
*
The stomach bacterium Helicobacter pylori is one of the most prevalent human pathogens.
It has dispersed globally with its human host, resulting in a distinct phylogeographic pattern
that can be used to reconstruct both recent and ancient human migrations. The extant
European population of H. pylori is known to be a hybrid between Asian and African bacteria,
but there exist different hypotheses about when and where the hybridization took place,
reflecting the complex demographic history of Europeans. Here, we present a 5300-year-old
H. pylori genome from a European Copper Age glacier mummy. The IcemanH. pylori is a
nearly pure representative of the bacterial population of Asian origin that existed in Europe
before hybridization, suggesting that the African population arrived in Europe within
the past few thousand years.
The highly recombinant pathogen Helicobacter
pylori has evolved to live in the acidic en-
vironment of the human stomach (1). Today,
this Gram-negative bacterium is found in
approximately half the worlds human pop-
ulation, but fewer than 10% of carriers develop
disease that manifests as stomach ulcers or gas-
tric carcinoma (2,3). Predominant intrafamilial
transmission of H. pylori and the long-term
association with humans has resulted in a phylo-
geographic distribution pattern of H. pylori that
is shared with its host (4,5). This observation
suggests that the pathogen not only accompa-
nied modern humans out of Africa (6), but that
it has also been associated with its host for at
least 100,000 years (7). Thus, the bacterium has
been used as a marker for tracing complex demo-
graphic events in human prehistory (4,8,9). Mod-
ern H. pylori strains have been assigned to distinct
populations according to their geographic ori-
gin (hpEurope, hpSahul, hpEastAsia, hpAsia2,
hpNEAfrica, hpAfrica1, and hpAfrica2) that are
derived from at least six ancestral sources (4,5,8).
The modern H. pylori strain found in most Eu-
ropeans (hpEurope) putatively originated from
recombination of the two ancestral populations
Ancestral Europe 1 and 2 (AE1 and AE2) (6). It
has been suggested that AE1 originated in Cen-
tral Asia, where it evolved into hpAsia2, which
is commonly found in South Asia. On the other
hand, AE2 appears to have evolved in northeast
Africa and hybridized with AE1 to become hpEurope
(4). However, the precise hybridization zone of
the parental populations and the true origin of
hpEurope are controversial. Early studies observed
a south-to-north cline in AE2/AE1 frequency in
Europe (4,6). This finding has been attributed to
independent peopling events that introduced these
ancestral H. pylori components, which eventually
recombined in Europe since the Neolithic period.
More recently, it has been suggested that the
AE1/AE2 admixture might have occurred in the
Middle East or Western Asia between 10,000 and
52,000 years ago and that recombinant strains
were introduced into Europe with the first human
recolonizers after the last glacial maximum (7).
162 8JANUARY2016VOL 351 ISSUE 6269 sciencemag.org SCIENCE
RESEARCH |REPORTS
In this study, we screened 12 biopsy samples
from the gastrointestinal tract of the Iceman, a
5300-year-old Copper Age mummy, for the pres-
ence of H. pylori. Stable isotope analyses showed
that the Iceman originated and lived in Southern
Europe,intheEasternItalianAlps(10). Genet-
ically, he most closely resembles early European
farmers (1113). The Icemansstomachwasdis-
covered in a reappraisal of radiological data and
containsthefoodheingestedshortlybeforehis
death (Fig. 1) (14). The study material included
stomach content, mucosa tissue, and content of
the small and large intestines (table S1). By using
direct polymerase chain reaction (PCR), meta-
genomic diagnostics, and targeted genome cap-
ture(figs.S1andS2),wedeterminedthepresence
of H. pylori and reconstructed its complete
genome.
Metagenomic analysis yielded endogenous an-
cient H. pylori DNA (15,350 reads) in all gastro-
intestinal tract contents (Fig. 1 and table S4). A
control data set derived from Icemansmuscletissue
was negative.The distribution of the observed read
counts throughout the Icemans intestinal tract
is similar to that in modern H. pyloripositive
humans, with abundance decreasing from the
stomach toward the lower intestinal tract (15,16).
The retrieved unambiguous reads were aligned
to a modern H. pylori reference genome (strain
26695) and showed damage patterns indicative of
ancient DNA (fig. S7) (17). After DNA repair, the H.
pylori DNA was enriched up to 216-fold by using
in-solution hybridization capture (Agilent) (fig. S5).
From this data set, 499,245 nonredundant reads
mapped to 92.2% of the 1.6-Mb H. pylori reference
genome with an 18.9-fold average coverage (Fig. 2).
In comparison with the reference, the Icemans
ancient H. pylori genome had ~43,000 single-
nucleotide polymorphisms (SNPs) and 39 dele-
tions that range from 95 base pair (bp) to 17 kb
and mainly comprise complete coding regions.
Owing to deletions, the number of genomic
variants is slightly below the range of what can
be observed between modern H. pylori strains
(table S13). The analysis of SNP allele frequen-
cies does not indicate an infection by more than
one strain (supplementary materials S6). In ad-
dition, as expected for this highly recombinant
bacterium, we found evidence for gene insertions
from H. pylori strains that differ from the refer-
ence genome (details about the InDels are pro-
vided in supplementary materials S8).
SCIENCE sciencemag.org 8JANUARY2016VOL 351 ISSUE 6269 163
1
Institute for Mummies and the Iceman, European Academy
of Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano,
Italy.
2
Institute of Clinical Molecular Biology, Kiel University,
Schittenhelmstrasse 12, 24105 Kiel, Germany.
3
CUBE
Division of Computational Systems Biology, Department of
Microbiology and Ecosystem Science, University of Vienna,
Althanstrasse 14, 1090 Vienna, Austria.
4
Institute for
Archaeological Sciences, University of Tübingen,
Rümelinstrasse 23, 72072 Tübingen, Germany.
5
Max Planck
Institute for the Science of Human History, Kahlaische
Strasse 10, 07745 Jena, Germany.
6
Institute for Systems
Biology, 401 Terry Avenue North, Seattle, WA 98109, USA.
7
Scuola Superiore Sanitaria Provinciale Claudiana,Via
Lorenz Böhler 13, 39100 Bolzano, Italy.
8
Department of
Gastroenterology, Hepatology, and Infectious Diseases, Otto-
von-Guericke University, Leipziger Strasse 44, 39120
Magdeburg, Germany.
9
Université de Bordeaux, Centre
National de Référence des Helicobacters et Campylobacters
and INSERM U853, 146 rue Léo Saignat, 33076 Bordeaux,
France.
10
Department of Microbiology, Tumor and Cell
Biology, Karolinska Institutet, 141 83 Stockholm, Sweden.
11
Department of Veterinary and Biomedical Sciences,
Pennsylvania State University, University Park, PA 16802,
USA.
12
Robert Mondavi Institute for Food Science, University
of California, Davis, CA 95616, USA.
13
Department of
Zoology, University of Venda, Private Bag X5050,
Thohoyandou 0950, Republic of South Africa.
14
Department
of Integrative Biology and Evolution, Konrad Lorenz Institute
for Ethology, University of Veterinary Medicine Vienna,
Savoyenstrasse 1a, 1160 Vienna, Austria.
*Corresponding author. E-mail: frank.maixner@eurac.edu (F.M.);
albert.zink@eurac.edu (A.Z.) These authors contributed equally
to this work. These authors contributed equally to this work.
Fig. 1. H. pylorispecific reads detected in the metagenomic data
sets of the Icemans intestine content samples.The color gradient dis-
plays the number of unambiguous H. pylori reads per million meta-
genomic reads. Control metagenomic data sets of the Icemans muscle tissue and of the extraction blank
were included in the analysis.The different intestinal content sampling sites are marked in the radiographic
image by the following symbols: asterisk, stomach content; circle, small intestine; square, upper large
intestine; triangle, lower large intestine.The sampling site of the muscle control sample is highlighted in the
Iceman overview picture (diamond).
Fig. 2. Gene coverage
and distribution of the
enriched and validated
Iceman H. pylori reads
mapped onto the 1.6 Mb
large reference genome
H. pylori 26695.The
coverage plot displayed in
black is superimposed onto
the genomic plot. The bar
on the right-hand side indi-
cates a coverage of up to
50×. The gene cod ing
sequences are shown in
blue (positive strand) and
yellow (negative strand)
bars in the genomic plot.
The loci of the ribosomal
RNA genes, of two virulence genes (vacA and cagA), and of seven genes used for MLSTanalysis are highlighted in the genome plot.
RESEARCH |REPORTS
Subsequent sequence analysis classified the an-
cient H. pylori as a cagA-positive vacA s1a/i1/m1
type strain that is now associated with inflammation
of the gastric mucosa (fig. S11) (18). Using multistep
solubilization and fractionation proteomics, we
identified 115 human proteins in the stomach meta-
proteome, of which six were either highly expressed
in the stomach mucosa (trefoil factor 2) (19)or
present in the gastrointestinal tract and involved in
digestion (supplementary materials S10). The ma-
jority of human proteins were enriched in extracel-
lular matrix organizing proteins (P=3.35×10
14
)
andproteinsofimmuneprocesses(P=2×10
3
)
(fig. S13). In total, 22 proteins observed in the Iceman
stomach proteome are primarily expressed in neu-
trophils and are involved in the inflammatory host
response. The two subunits S100A8 and S100A9 of
calprotectin (CP) were detected with the highest
number of distinct peptide hits in both analyzed
samples. Inflamed gastric tissues of modern
H. pyloriinfected patients also show high levels
of CP subunit S100A8 and S100A9 expression
(20,21). Thus, the Icemansstomachwascol-
onized by a cytotoxic H. pyloritype strain that
triggered CP release as a result of host inflamma-
tory immune responses. However, whether the
Iceman suffered from gastric disease cannot be
determined from our analysis owing to the poor
preservation of the stomach mucosa (fig. S3).
Comparative analysis of seven housekeeping
gene fragments with a global multilocus sequence
typing (MLST) database of 1603 H. pylori strains
with the STRUCTURE (22)no-admixturemodel
assigned the 5300-year-old bacterium to the modern
population hpAsia2, commonly found in Central
164 8JANUARY2016VOL 351 ISSUE 6269 sciencemag.org SCIENCE
Fig. 3. Multilocus sequence analyses. (A) Bayes-
ian cluster analysis performed in STRUCTURE
displays the population partitioning of hpEurope,
hpAsia2, and hpNEAfrica and the IcemansH. pylori
strain (details about the worldwide population
partitioning of 1603 reference H. pylori strains
are available in fig. S14). (B) STRUCTURE linkage
model analysis showing the proportion of Ances-
tral Europe 1 (from Central Asia) and Ancestral
Europe 2 (from northeast Africa) nucleotides
among strains assigned to populations hpNEAfrica,
hpEurope, and hpAsia2 and the IcemansH. pylori
strain on the extreme right. The black arrows indi-
cate the position of the three extant European
hpAsia2 strains. (C) Principal component analysis
of contemporary hpNEAfrica, hpEurope, and hpAsia2
strains and the IcemansH. pylori strain.
Fig. 4. Comparative whole-genome analysis. Co-ancestry matrix showing H. pylori population structure
and genetic flux.The color in the heat map corresponds to the number of genomic motifs imported from a
donor genome (column) to a recipient genome (row).The inferred tree and the H. pylori strain names are
displayed on the top and left of the heat map. Strain names are colored according to the H. pylori pop-
ulation assignment provided in the legend below the heat map. Signs for population ancestry are high-
lighted in the heat map with green, blue, black, and white boxes.
RESEARCH |REPORTS
and South Asia (Fig. 3A and fig. S14). The detection
of an hpAsia2 strain in the Icemans stomach is
rather surprising because despite intensive sampling,
only three hpAsia2 strains have ever been detected
in modern Europeans. Stomachs of modern Eu-
ropeans are predominantly colonized by recom-
binant hpEurope strains. Further ana lysis with
the STRUCTURE linkage model (23), used to detect
ancestral structure from admixture linkage d is-
equilibrium, revealed that the ancient H. pylori
strain contained only 6.5% [95% probability in-
tervals (PI) 1.5 to 13.5%] of the northeast African
(AE2) ancestral component of hpEurope (Fig. 3B).
Among European strains, this low proportion of
AE2isdistinctandhasthusfaronly beenobserved
in hpAsia2 strains from India and Southeast Asia.
In contrast, the three European hpAsia2 strains
(Fig. 3B, black arrows) contained considerably
higher AE2 ancestries than that of the H. pylori
strain of the Iceman (Finland 13.0%, PI 5.9 to 21.7;
Estonia 13.2%, PI 6.2 to 22.3; and the Nethe rlands
20.8%, PI 11.5 to 31.7), although 95% pr oba bil ity
intervals did overlap. A principal component
analysis (PCA) of the MLST sequences of the
hpAsia2, hpEurope, and hpNEAfrica populations
revealed a continuum along PC1 that correlates with
the proportion of AE2 ancestry versus AE1 ancestry
of the isolates (Fig. 3C). The Icemans ancient H.
pylori was separated from modern hpEurope
strains, and its position along PC1 was close to
modern hpAsia2 strains from India, reflecting its
almost pure AE1 and very low AE2 ancestry.
Comparative whole-genome analyses (neighbor
joining, STRUCTURE, and principle component
analyses) with publicly available genomes (n=45)
confirmed the MLST result by showing that the
Icemans ancient H. pylori genome has highest
similarity to three hpAsia2 genomes from India
(figs. S15 to S17). Although the IcemansH. pylori
strain appears genetically similar to the extant
strains from northern India, slight differences
were observed alongPC2 in both MLST (Fig. 3C)
and genome PCAs (fig. S17) and in the neighbor
joining tree (fig. S15). To further study genomic-scale
introgression, we performed a high-resolution
analysis of ancestral motifs using fineSTRUCTURE
(24). The resulting linked co-ancestry matrix (Fig. 4)
showed that the ancient H. pylori genome shares
high levels of ancestry with Indian hpAsia2 strains
(Fig. 4, green boxes), but even higher co-ancestry
with most European hpEurope strains (Fig. 4, blue
boxes). In contrast, the IcemansH. pylori shares
low ancestry with the hpNEAfrica strain, a modern
representative of AE2 (Fig. 4, black box), and with
European strains originating from the Iberian
Peninsula, where the proportion of AE2 ancestry
is relatively high (Fig. 4, white box) (4). Our sample
size (n= 1) does not allow further conclusions
about the prevalence of AE1 in ancient Europe and
thecourseorrateofAE2introgression.However,
the ancient H. pylori strain provides the first evi-
dence that AE2 was already present in Central
Europe during the Copper Age, albeit at a low level.
If the Iceman H. pylori strain is representative of
its time, the low level of AE2 admixture suggests
that most of the AE2 ancestry observed in hpEu-
rope today is a result of AE2 introgression into
Europe after the Copper Age, which is later than
previously proposed (4,6). Furthermore, our
co-ancestry results indicate that the Icemans
strain belonged to a prehistoric European branch
of hpAsia2 that is different from the modern
hpAsia2 population from northern India. The
high genetic similarity of the ancient strain to
bacteria from Europe implies that much of the
diversity present in Copper Age Europe is still
retained within the extant hpEurope population,
despite millennia of subsequent AE2 introgression.
REFERENCES AND NOTES
1. S. Suerbaum, C. Josenhans, Nat. Rev. Microbiol. 5, 441452 (2007).
2. P. Malfertheiner, F. K. Chan, K. E. McColl, Lancet 374,
14491461 (2009).
3. R. M. Peek Jr., M. J. Blaser, Nat. Rev. Cancer 2,2837 (2002).
4. D. Falush et al., Science 299, 15821585 (2003).
5. Y. Moodley, B. Linz, Genome Dyn. 6,6274 (2009).
6. B. Linz et al., Nature 445, 915918 (2007).
7. Y. Moodley et al., PLOS Pathog. 8, e1002693 (2012).
8. Y. Moodley et al., Science 323, 527530 (2009).
9. T. Wi rth et al., Proc. Natl. Acad. Sci. U.S.A. 101,47464751 (2 004).
10. W. Müller, H. Fricke, A. N. Halliday, M. T. McCulloch,
J. A. Wartho, Science 302, 862866 (2003).
11. W. Haak et al., Nature 522, 207211 (2015).
12. A. Keller et al., Nat. Commun. 3, 698 (2012).
13. I. Lazaridis et al., Nature 513, 409413 (2014).
14. P. Gostner, P. Pernter, G. Bonatti, A. Graefen, A. R. Zink,
Arch. Sci. 38, 34253431 (2011).
15. A. F. Andersson et al., PLOS ONE 3, e2836 (2008).
16. N. Segata et al., Genome Biol. 13, R42 (2012).
17. S. Sawyer, J. Krause, K. Guschanski, V. Savolainen, S. Pääbo,
PLOS ONE 7, e34131 (2012).
18. K. R. Jones, J. M. Whitmire, D. S. Merrell, Front. Microbiol. 1,
115 (2010).
19. M. Uhlén et al., Science 347, 1260419 (2015).
20. J. A. Gaddy et al., PLOS Pathog. 10, e1004450 (2014).
21. S. T. Leach, H. M. Mitchell, C. L. Geczy, P. M. Sherman,
A. S. Day, Can. J. Gastroenterol. 22, 461464 (2008).
22. J. K. Pritchard, M. Stephens, P. Donnelly, Genetics 155,
945959 (2000).
23. D. Falush, M. Stephens, J. K. Pritchard, Genetics 164,
15671587 (2003).
24. D. J. Lawson, G. Hellenthal, S. Myers, D. Falush, PLOS Genet. 8,
e1002453 (2012).
ACKNO WLED GME NTS
We acknowledge the following funding sources: the South Tyrolean
grant legge 14 (F.M., N.O.S., G.C., V.C., M.S., and A.Z.), the
Ernst Ludwig Ehrlich Studienwerk, dissertation completion
fellowship of the University of Vienna (D.T.), the Graduate School
Human Development in Landscapes and the Excellence Cluster
Inflammation at Interfaces (B.K. and A.N.), the European Research
Council (ERC) starting grant APGREID (J.K. and A.H.), the National
Institutes of Health from the National Institute of General
Medical Sciences under grants R01 GM087221 (R.M.), S10
RR027584 (R.M.), and 2P50 GM076547/Center for Systems
Biology (R.M). E. Leproust and O. Hardy are highly acknowledged
for their help in the RNA bait design. We thank the sequencing
team of the Institute of Clini cal Molecular Biology at Kiel University f or
supportand expertise. We are grateful to E. Hüttenfor proofreading of
the main text. We are grateful to Olympus, Italy, for providing us with
equipment for endoscopy. F.M. and A.Z. conceived the investigation.
F.M., B.K., D.T., R.G., J.K., A.N., Y.M., T.R., and A.Z. designed
experiments. P.M., L.E., E.E.V., M.S.,F.M., and A.Z. were involved in the
sampling campaign. F.M., B.K., M.R.H., J.H., U.K., and G.C. performed
laboratory work. F.M., B.K., D.T., A.H., M.R.H., N.O.S., B.L., R.L.M., R.G.,
J.K.,Y.M.,andT.R.performedanalyses.F.M.wrotethemanuscript
with contributions from B.K., D.T., A.H., M.R.H., U.K., N.O.S., V.C., B.L.,
R.L.M., R.G., J.K., Y.M., A.N., T.R., and A.Z. Data are available from the
European Nucleotide Archive under accession no. ERP012908. The
authors declare no competing interes ts.
SUPPLEMENTARY MATERIALS
www.sciencemag.org/content/351/6269/162/suppl/DC1
Materials and Methods
Figs. S1 to S17
Tables S1 to S13
References (2593)
15 August 2015; accepted 20 November 2015
10.1126/science.aad2545
PAL EOC L IMAT E
Reconciliation of the Devils
Hole climate record with
orbital forcing
Gina E. Moseley,
1
*R. Lawrence Edwards,
2
Kathleen A. Wendt,
1,2
Hai Cheng,
2,3
Yuri Dublyansky,
1
Yanbin Lu,
2
Ronny Boch,
1
Christoph Spötl
1
The driving force behind Quaternary glacial-interglacial cycles and much associated climate
change is widely considered to be orbital forcing. However, previous versions of the iconic Devils
Hole (Nevada) subaqueous calcite record exhibit shifts to interglacial values ~10,000 years
before orbitally forced ice age terminations, and interglacial durations ~10,000 years longer
than other estimates. Our measurements from Devils Hole 2 replicate virtually all aspects
of the past 204,000 years of earlier records, except for the timing during terminations,
and they lower the age of the record near Termination II by ~8000 years, removing both
~10,000-year anomalies.The shift to interglacial values now broadly coincides with the rise in
boreal summer insolation, the marine termination, and the rise in atmospheric CO
2
,whichis
consistent with mechanisms ultimately tied to orbital forcing.
Changes to Earths orbital configuration rel-
ative to the Sun, known as the Milanko-
vitch hypothesis, astronomical theory, or
orbital forcing, have long been considered
the leading theory for the primary mech-
anism driving Quaternary glacial-interglacial
cycles (13) and associated climate change.
The hypothesis is supported by a huge array
of evidence from paleoclimate records across
the globe, which show that major shifts in
SCIENCE sciencemag.org 8JANUARY2016VOL 351 ISSUE 6269 165
RESEARCH |REPORTS
... H. pylori may be transmitted between species due to water contaminated by faeces or vomit and further enter the food chain [19]. In humans, a predominantly within-family transmission is assumed [20,21]. H. pylori has a long-documented association with humans, exemplified by its detection in the 5,300-year-old South Tyrolean "Iceman" mummy [20,21]. ...
... In humans, a predominantly within-family transmission is assumed [20,21]. H. pylori has a long-documented association with humans, exemplified by its detection in the 5,300-year-old South Tyrolean "Iceman" mummy [20,21]. This profound historical association, believed to span over 50,000 years, establishes H. pylori as a highly dependable indicator for tracking both recent and ancient human population movements [20,22]. ...
... H. pylori has a long-documented association with humans, exemplified by its detection in the 5,300-year-old South Tyrolean "Iceman" mummy [20,21]. This profound historical association, believed to span over 50,000 years, establishes H. pylori as a highly dependable indicator for tracking both recent and ancient human population movements [20,22]. ...
Article
Full-text available
Objective Helicobacter pylori is known for colonizing the gastric mucosa and instigating severe upper gastrointestinal diseases such as gastritis, gastroduodenal ulcers, and gastric cancer. To date, there is no data available on the oral cavity as transmission site, whether H. pylori can survive in the oral cavity or in human saliva. The aim of the study was to investigate the influence of oral microorganisms and human saliva on the survival of H. pylori in human saliva. Methods H. pylori strains KE, a motile derivate of type strain H. pylori 26695, and H. pylori SS1, a clinical isolate from a gastric biopsy, were grown in human pooled saliva (pooled from 4 healthy human donors, 0.22 μm filter-sterilized) or in BBF (Brucella browth formula; control) either as mono-cultures or in co-culture with Streptococcus mutans, Streptococcus oralis, Actinomyces naeslundii, Lacticaseibacillus casei and Candida dubliniensis. Bacterial survival of H. pylori and the oral microorganisms were investigated using colony forming units (CFU) assay and MALDI-TOF MS at baseline and after 24, 48 and 168 h. Results In saliva, H. pylori KE demonstrated enhanced survival in co-culture with S. mutans, A. naeslundii, and C. dubliniensis, enduring for at least 48 h. In contrast, L. casei and S. oralis inhibited H. pylori KE in saliva. H. pylori KE could not be cultured after 168 h in saliva, neither in mono- nor co-culture. In contrast, H. pylori SS1 in saliva could be cultured after 168 h in co-culture with S. mutans and C. dubliniensis, but not in mono-culture. In BBF, H. pylori KE could be cultured after 168 h with S. mutans, L. casei and C. dubliniensis, and H. pylori SS1 with L. casei and C. dubliniensis, but not with S. mutans. Notably, the co-cultured microorganisms survived at high CFU numbers similar to those of the monocultures. Conclusion The study suggests that H. pylori can transiently survive in human saliva and even with presence of certain oral microorganisms. However, it may not be a permanent resident of the oral microbiota. The co-survival with oral microorganisms emphasizes the necessity for studying the role of the oral microbiota in the infectious and transmission cycle of H. pylori.
... Helicobacter pylori (H. pylori) is a ubiquitous human pathogen that colonizes the gastric mucosa of approximately half the world's population (1). This gram-negative bacterium has been classified as a Group I carcinogen by the World Health Organization due to its pivotal role in the etiology of various gastric disorders, including chronic gastritis, peptic ulcers, and gastric adenocarcinoma (2,3). ...
Article
Full-text available
Helicobacter pylori (H. pylori), a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cancer prevention due to its increasing antimicrobial resistance and strain diversity. This comprehensive review critically analyzes the limitations of conventional antibiotic-based therapies and explores cutting-edge approaches to combat H. pylori infections and associated gastric carcinogenesis. We emphasize the pressing need for innovative therapeutic strategies, with a particular focus on precision medicine and tailored vaccine development. Despite promising advancements in enhancing host immunity, current Helicobacter pylori vaccine clinical trials have yet to achieve long-term efficacy or gain approval regulatory approval. We propose a paradigm-shifting approach leveraging artificial intelligence (AI) to design precision-targeted, multiepitope vaccines tailored to multiple H. pylori subtypes. This AI-driven strategy has the potential to revolutionize antigen selection and optimize vaccine efficacy, addressing the critical need for personalized interventions in H. pylori eradication efforts. By leveraging AI in vaccine design, we propose a revolutionary approach to precision therapy that could significantly reduce H. pylori -associated gastric cancer burden.
... In most paleogenomics research so far, aDNA is extracted directly from larger preserved organic artifacts and ecofacts such as human or animal bones, and macro-botanical remnants or, in well-preserved contexts (e.g. permafrost), soft tissues of organisms (Maixner et al. 2016). In contrast, aDNA contained in a sediment sample consists either of free molecules bound to minerals in the soil (Kjaer et al. 2022) or is contained in micro-remains or coprolites (Massilani et al. 2022). ...
Article
Full-text available
Sedimentary ancient DNA (sedaDNA) has become one of the standard applications in the field of paleogenomics in recent years. It has been used for paleoenvironmental reconstructions, detecting the presence of prehistoric species in the absence of macro remains and even investigating the evolutionary history of a few species. However, its application in archaeology has been limited and primarily focused on humans. This article argues that sedaDNA holds significant potential in addressing key archaeological questions concerning the origins, lifestyles, and environments of past human populations. Our aim is to facilitate the integration of sedaDNA into the standard workflows in archaeology as a transformative tool, thereby unleashing its full potential for studying the human past. Ultimately, we not only underscore the challenges inherent in the sedaDNA field but also provide a research agenda for essential enhancements needed for implementing sedaDNA into the archaeological workflow.
... H. pylori infections have undergone co-evolution with humans [1], allowing the pathogen ample opportunity to develop highly efficient mechanisms to evade clearance by the host's immune system. This is reflected in the fact that (i) the bacterium can trigger both an acute form of gastritis, similar to that of other pathogens, as well as a chronic persistent form, which increases the risk of peptic ulcers and gastric cancer; (ii) H. pylori may also induce immune tolerance in the host, enhancing the persistence of the infection; and (iii) rarely, the onset of autoimmunity [2]. ...
Article
Full-text available
Trained immunity is a concept in immunology in which innate immune cells, such as monocytes and macrophages, exhibit enhanced responsiveness and memory-like characteristics following initial contact with a pathogenic stimulus that may promote a more effective immune defense following subsequent contact with the same pathogen. Helicobacter pylori, a bacterium that colonizes the stomach lining, is etiologically associated with various gastrointestinal diseases, including gastritis, peptic ulcer, gastric adenocarcinoma, MALT lymphoma, and extra gastric disorders. It has been demonstrated that repeated exposure to H. pylori can induce trained immunity in the innate immune cells of the gastric mucosa, which become more responsive and better able to respond to subsequent H. pylori infections. However, interactions between H. pylori and trained immunity are intricate and produce both beneficial and detrimental effects. H. pylori infection is characterized histologically as the presence of both an acute and chronic inflammatory response called acute-on-chronic inflammation, or gastritis. The clinical outcomes of ongoing inflammation include intestinal metaplasia, gastric atrophy, and dysplasia. These same mechanisms may also reduce immunotolerance and trigger autoimmune pathologies in the host. This review focuses on the relationship between trained immunity and H. pylori and underscores the dynamic interplay between the immune system and the pathogen in the context of gastric colonization and inflammation.
Article
Full-text available
Background Fungal DNA is rarely reported in metagenomic studies of ancient samples. Although fungi are essential for their interactions with all kingdoms of life, limited information is available about ancient fungi. Here, we explore the possibility of the presence of ancient fungal species in the gut of Ötzi, the Iceman, a naturally mummified human found in the Tyrolean Alps (border between Italy and Austria). Methods A robust bioinformatic pipeline has been developed to detect and authenticate fungal ancient DNA (aDNA) from muscle, stomach, small intestine, and large intestine samples. Results We revealed the presence of ancient DNA associated with Pseudogymnoascus genus, with P. destructans and P. verrucosus as possible species, which were abundant in the stomach and small intestine and absent in the large intestine and muscle samples. Conclusion We suggest that Ötzi may have consumed these fungi accidentally, likely in association with other elements of his diet, and they persisted in his gut after his death due to their adaptability to harsh and cold environments. This suggests the potential co-occurrence of ancient humans with opportunistic fungal species and proposes and validates a conservative bioinformatic approach for detecting and authenticating fungal aDNA in historical metagenomic samples.
Article
Full-text available
Helicobacter pylori infection is a major risk factor for gastric adenocarcinomas. In the case of the intestinal subtype, chronic gastritis and intestinal metaplasia are well-known sequential steps in carcinogenesis. H. pylori has high genetic diversity that can modulate virulence and pathogenicity in the human host as a cag Pathogenicity Island (cagPAI). However, bacterial gene combinations do not always explain the clinical presentation of the disease, indicating that other factors associated with H. pylori may play a role in the development of gastric disease. In this context, we characterized the microbial composition of patients with chronic gastritis (inactive and active), intestinal metaplasia, and gastric cancer as well as their potential association with H. pylori. To this end, 16 S rRNA metagenomic analysis was performed on gastric mucosa samples from patients with different types of lesions and normal gastric tissues. Our main finding was that H. pylori virulence status can contribute to significant differences in the constitution of the gastric microbiota between the sequential steps of the carcinogenesis cascade. Differential microbiota was observed in inactive and active gastritis dependent of the H. pylori presence and status (p = 0.000575). Pseudomonades, the most abundant order in the gastritis, was associated the presence of non-virulent H. pylori in the active gastritis. Notably, there are indicator genera according to H. pylori status that are poorly associated with diseases and provide additional evidence that the microbiota, in addition to H. pylori, is relevant to gastric carcinogenesis.
Article
Background and aim: Rates of antimicrobial-resistant Helicobacter pylori infection are rising globally, but little is known about contemporary resistance patterns, virulence factors, and phylogenetic patterns of isolates within Australia. We aimed to characterize antimicrobial resistance and genetic mutations associated with adverse clinical outcomes. Methods: Whole genome sequencing, culturing, and antibiotic sensitivity data for refractory H. pylori isolates at Australian centers were collected between 2013 and 2022. Phylogenetic origins, antibiotic resistance mutations, and virulence factors were examined with phenotypic resistance profiles. Results: One hundred thirty-five isolates underwent culture, with 109 of these undergoing whole genome sequencing. Forty-three isolates were isolated from patients in South Australia and 66 from Western Australia. Isolates originated primarily from hpEurope (59.6%), hpEastAsia (25.7%), and hpNEAfrica (6.4%). Antimicrobial resistance to clarithromycin was seen in 85% of isolates, metronidazole in 52%, levofloxacin in 18%, rifampicin in 14%, and amoxicillin in 9%. Most isolates (59%) were multi-drug resistant. Resistance concordance between genetically determined resistance and phenotypic resistance was 92% for clarithromycin and 94% for levofloxacin. Analysis of virulence factors demonstrated cag pathogenicity island (cagPAI) in 67% of isolates and cagA in 61%, correlating with isolate genetic origin. The most virulent s1m1 vacuolating cytotoxin A genotype was present in 26% of isolates. Conclusion: Refractory H. pylori isolates in Australia emanate from multiple global origins. Strong concordance between genetic and phenotypic antibiotic resistance profiles raises the possibility of utilizing genetic profiling in clinical practice. The dynamic landscape of H. pylori in Australia warrants the establishment of a national database to monitor H. pylori resistance and evolving virulence.
Article
Full-text available
Humans host complex microbial communities believed to contribute to health maintenance and, when in imbalance, to the development of diseases. Determining the microbial composition in patients and healthy controls may thus provide novel therapeutic targets. For this purpose, high-throughput, cost-effective methods for microbiota characterization are needed. We have employed 454-pyrosequencing of a hyper-variable region of the 16S rRNA gene in combination with sample-specific barcode sequences which enables parallel in-depth analysis of hundreds of samples with limited sample processing. In silico modeling demonstrated that the method correctly describes microbial communities down to phylotypes below the genus level. Here we applied the technique to analyze microbial communities in throat, stomach and fecal samples. Our results demonstrate the applicability of barcoded pyrosequencing as a high-throughput method for comparative microbial ecology.
Article
Full-text available
We generated genome-wide data from 69 Europeans who lived between 8,000-3,000 years ago by enriching ancient DNA libraries for a target set of almost four hundred thousand polymorphisms. Enrichment of these positions decreases the sequencing required for genome-wide ancient DNA analysis by a median of around 250-fold, allowing us to study an order of magnitude more individuals than previous studies and to obtain new insights about the past. We show that the populations of western and far eastern Europe followed opposite trajectories between 8,000-5,000 years ago. At the beginning of the Neolithic period in Europe, ~8,000-7,000 years ago, closely related groups of early farmers appeared in Germany, Hungary, and Spain, different from indigenous hunter-gatherers, whereas Russia was inhabited by a distinctive population of hunter-gatherers with high affinity to a ~24,000 year old Siberian6 . By ~6,000-5,000 years ago, a resurgence of hunter-gatherer ancestry had occurred throughout much of Europe, but in Russia, the Yamnaya steppe herders of this time were descended not only from the preceding eastern European hunter-gatherers, but from a population of Near Eastern ancestry. Western and Eastern Europe came into contact ~4,500 years ago, as the Late Neolithic Corded Ware people from Germany traced ~3/4 of their ancestry to the Yamnaya, documenting a massive migration into the heartland of Europe from its eastern periphery. This steppe ancestry persisted in all sampled central Europeans until at least ~3,000 years ago, and is ubiquitous in present-day Europeans. These results provide support for the theory of a steppe origin of at least some of the Indo-European languages of Europe.
Article
We describe extensions to the method of Pritchard et al. for inferring population structure from multilocus genotype data. Most importantly, we develop methods that allow for linkage between loci. The new model accounts for the correlations between linked loci that arise in admixed populations (“admixture linkage disequilibium”). This modification has several advantages, allowing (1) detection of admixture events farther back into the past, (2) inference of the population of origin of chromosomal regions, and (3) more accurate estimates of statistical uncertainty when linked loci are used. It is also of potential use for admixture mapping. In addition, we describe a new prior model for the allele frequencies within each population, which allows identification of subtle population subdivisions that were not detectable using the existing method. We present results applying the new methods to study admixture in African-Americans, recombination in Helicobacter pylori, and drift in populations of Drosophila melanogaster. The methods are implemented in a program, structure, version 2.0, which is available at http://pritch.bsd.uchicago.edu.
Article
The present report describes an analysis of two virulence genes of Helicobacter pylori . Parts of the cagA gene, as well as parts from the signal (s) and middle (m) regions of the mosaic vacA gene, were amplified with biotin-labelled PCR primers and the products were subsequently analyzed by a single-step reverse hybridization line probe assay (LiPA). This assay comprises a strip containing multiple specific probes for the vacA s region (s1a, s1b, and s2 alleles), the vacA m region (m1 and m2 alleles), and the cagA gene. A total of 103 H. pylori -positive materials, including cultured isolates, gastric biopsy specimens, and surgical specimens from patients living in Portugal ( n = 55) and The Netherlands ( n = 48) were tested by the PCR-LiPA. cagA was detected in 84 and 73% of the Portuguese and Dutch patients, respectively. vacA typing results, as determined by reverse hybridization, were completely concordant with those of sequence analysis. Most Portuguese patients (72%) contained type s1b, whereas most Dutch patients (61%) contained type s1a ( P < 0.001). The method is also very effective at detecting the presence of multiple genotypes in a single biopsy specimen. The prevalence of multiple strains in Portuguese patient samples was significantly higher (29%) than that in Dutch patient samples (8%) ( P = 0.001). There was a significant association between the presence of ulcers or gastric carcinoma and the presence of vacA type s1 (s1a or s1b; P = 0.008) and cagA ( P = 0.003) genes.
Article
We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
Article
The identification of the genetic structure of populations from multilocus genotype data has become a central component of modern population-genetic data analysis. Application of model-based clustering programs often entails a number of steps, in which the user considers different modeling assumptions, compares results across different pre-determined values of the number of assumed clusters (a parameter typically denoted K), examines multiple independent runs for each fixed value of K, and distinguishes among runs belonging to substantially distinct clustering solutions. Here, we present Clumpak (Cluster Markov Packager Across K), a method that automates the post-processing of results of model-based population structure analyses. For analyzing multiple independent runs at a single K value, Clumpak identifies sets of highly similar runs, separating distinct groups of runs that represent distinct modes in the space of possible solutions. This procedure, which generates a consensus solution for each distinct mode, is performed by the use of a Markov clustering algorithm that relies on a similarity matrix between replicate runs, as computed by the software Clumpp. Next, Clumpak identifies an optimal alignment of inferred clusters across different values of K, extending a similar approach implemented for a fixed K in Clumpp, and simplifying the comparison of clustering results across different K values. Clumpak incorporates additional features, such as implementations of methods for choosing K and comparing solutions obtained by different programs, models, or data subsets. Clumpak, available at http://clumpak.tau.ac.il, simplifies the use of model-based analyses of population structure in population genetics and molecular ecology. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.