Content uploaded by Ronald J. Kendall
Author content
All content in this area was uploaded by Ronald J. Kendall on Feb 19, 2021
Content may be subject to copyright.
Vol.:(0123456789)
1 3
Molecular Biology Reports
https://doi.org/10.1007/s11033-021-06186-3
ORIGINAL ARTICLE
Molecular phylogenetic andin silico analysis
ofglyceraldeyde‑3‑phosphate dehydrogenase (GAPDH) gene
fromnorthern bobwhite quail (Colinus virginianus)
AravindanKalyanasundaram1· BrettJ.Henry1· CassandraHenry1· RonaldJ.Kendall1
Received: 15 October 2020 / Accepted: 28 January 2021
© The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021
Abstract
Many recent studies have been focused on prevalence and impact of two helminth parasites, eyeworm Oxyspirura petrowi
and caecal worm Aulonocephalus pennula, in the northern bobwhite quail (Colinus virginianus). However, few studies have
attempted to examine the effect of these parasites on the bobwhite immune system. This is likely due to the lack of proper
reference genes for relative gene expression studies. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) is a glycolytic
enzyme that is often utilized as a reference gene, and in this preliminary study, we evaluated the similarity of bobwhite
GAPDH to GAPDH in other avian species to evaluate its potential as a reference gene in bobwhite. GAPDH was identified
in the bobwhite full genome sequence and multiple sets of PCR primers were designed to generate overlapping PCR prod-
ucts. These products were then sequenced and then aligned to generate the sequence for the full-length open reading frame
(ORF) of bobwhite GAPDH. Utilizing this sequence, phylogenetic analyses and comparative analysis of the exon–intron
pattern were conducted that revealed high similarity of GAPDH encoding sequences among bobwhite and other Galliformes.
Additionally, This ORF sequence was also used to predict the encoded protein and its three-dimensional structure which like
the phylogenetic analyses reveal that bobwhite GAPDH is similar to GAPDH in other Galliformes. Finally, GAPDH qPCR
primers were designed, standardized, and tested with bobwhite both uninfected and infected with O. petrowi, and this pre-
liminary test showed no statistical difference in expression of GAPDH between the two groups. These analyses are the first
to investigate GAPDH in bobwhite. These efforts in phylogeny, sequence analysis, and protein structure suggest that there
is > 97% conservation of GADPH among Galliformes. Furthermore, the results of these in silico tests and the preliminary
qPCR indicate that GAPDH is a prospective candidate for use in gene expression analyses in bobwhite.
Keywords Bobwhite· Exon· GAPDH· Gene expression· Intron· qPCR· Reference gene
Introduction
The northern bobwhite (Colinus virginianus; hereafter
bobwhite) is an economically important game bird in North
America and is very popular among hunters [1, 2]. Although
declining bobwhite populations have been noted for over
a century [3] nationwide conservation efforts for bobwhite
began only a couple decades ago as a result of the articles
published by Brennan and co-workers [4, 5]. However, bob-
white have exhibited a relatively steady decline of 3.5% per
year over the last 50years despite this effort and is currently
declining at a faster rate that 94% of all other declining
birds [6]. This decline has been attributed to many factors
including habitat loss, fragmentation, agricultural practices,
extreme weather events, and more recently parasitic infec-
tion [4, 5, 7]. Early hypotheses stated that parasitic infection
had minimal impacts on bobwhite populations [8] but as
populations continued to decline, more studies have been
conducted in an effort to assess the potential impact of para-
sitic infections in bobwhite [9–11].
Two helminths, eyeworm Oxyspirura petrowi and caecal
worm Aulonocephalus pennula, have been demonstrated to
have high prevalence of 66% and 91%, respectively, in wild
bobwhite in the Rolling Plains ecoregion of Texas [12]. A
number of studies have been published in relation to preva-
lence and diagnostic techniques of these parasitic infections
* Ronald J. Kendall
ron.kendall@ttu.edu
1 The Wildlife Toxicology Laboratory, Texas Tech University,
Lubbock, TX79409-3290, USA
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
in wild bobwhite [13–17]. However, the available knowledge
on host parasite interaction in this species is limited due to
very few studies having utilized histological or proteomic
approaches to assess the host response to these parasites [12,
18]. A pilot study on host immune response demonstrated
the ability to quantify immune response through quantita-
tive PCR (qPCR) analysis of cytokine and toll-like receptor
(TLR) gene expression in bobwhite challenged intramuscu-
larly with crude glycoproteins from both O. petrowi and A.
pennula [18]. Aside from the aforementioned study, little
has been done to unravel how the bobwhite immune system
responds to infection from these two helminth parasites.
Therefore, more research must be conducted on the host
parasite interaction of bobwhite to understand the implica-
tions of these infections.
Furthermore, very few functional genes for bobwhite have
been completely or partially characterized with sequences
available within the GenBank database. This difficulty is due
to this lack of information for many genes and can constrain
our ability to conduct research on host parasite interactions
for not only bobwhite, but also the majority of avian species
aside from chicken (Gallus gallus). Consequently, it is dif-
ficult to study the gene expression profile or immunological
aspects of bobwhite with insufficient genomic information.
However, for species that have a more complete understand-
ing of expressed genes and their corresponding sequences,
such as chicken, assessing gene expression by qPCR is a
widely used and reliable technique for studying host parasite
interactions [19–21].
In qPCR, controlling or avoiding error is critical in gen-
erating reliable data and is of particular importance for
gene expression analyses [22]. One widely used approach
to achieve this is using housekeeping or reference genes to
normalize the variation [23]. Reference genes should have a
constant gene expression in various organs and under vari-
ous physiological conditions [24]. Some genes alter their
expression in different physiological conditions based on
the experimental study and therefore would not be good
candidates as a reference gene [25]. As such, choosing an
appropriate reference gene is important before conduct-
ing a study on gene expression analysis. Currently several
genes are often used as reference or reference genes in qPCR
analysis, and GAPDH (glyceraldeyde-3-phosphate dehydro-
genase) is one of the most widely used reference gene in
experimental studies for many organisms due to its constant
expression [24, 26, 27].
GAPDH, is a ubiquitous glycolytic enzyme with a key
role in energy production by conversion of glyceralde-
hyde-3-phosphate (G3P) to 1,3-bisphosphoglyceric acid
(BPGA) in the presence of nicotinamide adenine dinucleo-
tide (NAD+) and inorganic phosphate [28, 29]. GAPDH is
mainly located in the cytosol of cells, which also found in
nucleus, mitochondria, and cytoskeleton [30]. Apart from
glycolytic pathways, GAPDH plays a variety of roles in
other cellular processes such as cell death, DNA repair, oxi-
dative stress repair, and is a critical regulator of cancer cells
[31–33]. Its ubiquity and multiple functions are what results
in its constant expression, and therefore make it a quality
candidate for use as a reference gene.
In this study, we obtained the full-length gene sequence
of bobwhite GAPDH. Using this complete GAPDH gene
sequence, we predict the evolutionary relationship, exon
intron pattern, proteomic structural analysis, and suitability
of its use as a reference gene. Results of this study provide
not only genetic information and structural similarities to
other species’ GAPDH, but also describes the potential of
GAPDH to be a reference gene in bobwhite gene expression
studies.
Materials andmethods
Study area andsample collection
The experimental study area of the present manuscript is
consistent with the study area described in Dunham etal.
[13]. The broader range of application (e.g., Rolling Plains)
was described by Rollins [7]. Wild bobwhite were collected
in July of 2019 from the same study area, in the same man-
ner, and using the same techniques previously described by
Dunham etal. [13].
RNA extraction
For primer optimization, 100mg of quail breast tissue was
collected from wild bobwhite and stored in RNAlater™ sta-
bilization solution (Invitrogen, USA) with 1:10 ratio (1g of
tissue in 10ml of RNAlater™). RNeasy Mini Kit (Qiagen,
USA) was used to extract total RNA from the breast tissue
according to manufacturer’s instructions. Following elu-
tion, quantity and quality of total RNA was estimated by
absorbance at 260–280nm using Qubit 3.0 and then stored
at –80°C for further use. cDNA was synthesized from total
RNA using the QuantiTect Reverse Transcription kit (Qia-
gen, USA) according to manufacturer’s instructions, with
quantity and quality of the cDNA estimated using the Qubit
3.0 as described previously. Synthesized cDNA was stored at
–40°C prior to primer optimization and full-length GAPDH
gene amplification.
Primer design
A gene specific set of PCR primers (cvGAPDH F 5ʹ-ATG
GTG AAA GTC GGA GTC AAC-3ʹ and cvGAPDH R 5ʹ-TTA
CTC CTT GGA TGC CAT GTG-3ʹ) for the complete bobwhite
GAPDH gene were designed using IDT Oligo Analyzerand
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
utilizing sequences retrieved from northern bobwhite whole
genome project (PRJNA188411) [34, 35]. This sequence
was confirmed by comparison to GAPDH sequences from
other avian species through multiple sequence alignment
using ClustalW2. A set of qPCR primers (qGAPDH F
5ʹ-GAA GGC TGG TGG CTC ACC TGA-3ʹ and qGAPDH R
5ʹ-GGT GCA CGA CGC ATT GCT GAC-3ʹ) was also designed
spanning an exon-exon junction in the GAPDH gene to use
as a reference gene in bobwhite gene expression analyses.
PCR amplification ofbobwhite GAPDH
Newly synthesized GAPDH primers were optimized using
total RNA template extracted from bobwhite breast tis-
sue. Gradient PCR reactions were performed with 5μL of
MyTaq™ Red Mix (Bioline, USA), 1μL of 10μM forward,
1μL of 10μM reverse primer, 1μL of cDNA template, and
2μL of nuclease free water for 10µL reactions. PCR run
conditions were as follows: 95°C for 3min; 30 cycles of
95°C for 40s, 50–60°C for 1min, and 72°C for 30s; and a
final extension step of 72°C for 5min. Gene amplification
was confirmed by 1.5% agarose gel electrophoresis.
Sequence analysis
The GAPDH PCR product was purified from the agarose
gel and sequenced in both directions using their respec-
tive forward and reverse primers. Raw sequences were
trimmed to remove poor reads using BioEdit 7.2 and these
trimmed sequences were used for BLAST analysis. The
processed forward and reverse sequences were overlapped
to obtain full-length sequence using EMBOSS Merger. The
intron–exon distribution was predicted using HMMgene tool
(http://www.cbs.dtu.dk/servi ces/HMMge ne/). The genomic
region of bobwhite and chicken GAPDH were retrieved from
NCBI [34, 36] and Splign (http://www.ncbi.nlm.nih.gov/
sutil s/splig n/splig n.cgi) was then used to predict exon–intron
patterns of the GAPDH gene by using cDNA and genomic
regions. We estimated the intron similarity between mul-
tiple avian species such as chicken (Gallus gallus), new-
world quail (northern bobwhite, scaled quail and marbled
wood quail) and old-world quail (Japanese quail) by multiple
alignment search using the genomic region of GAPDH. We
predicted microsatellites in intron one using microsatel-
lite repeats finder (http://insil ico.ehu.es/mini_tools /micro
satel lites /info). The complete open reading frame (ORF) of
GAPDH sequence obtained in this study was submitted in
DDBJ (LC569866).
Phylogenetic analysis
The evolutionary relationship of bobwhite GAPDH was
inferred by MEGA X using the maximum likelihood (ML)
method and Tamura–Nei model [37]. Full gene sequences
of GAPDH from 76 other avian species were retrieved from
the NCBI GenBank database. Multiple alignments of the
bobwhite GAPDH sequences were completed with these
76 sequences using ClustalW2. Sequences were taken from
order Passeriformes, Accipitriformes, Columbiformes,
Gruiformes, Galliformes, and Anseriformes for construct-
ing a phylogenetic tree for avian GAPDH. Short sequences
(< 500bp) were removed to ensure high quality results from
the phylogenetic tree. GAPDH from burflower Neolamarckia
cadamba (KY922898) and benthi Nicotiana benthamiana
(AB937979) from kingdom Plantae were specified as out-
groups in this analysis. Initial tree(s) for the heuristic search
were obtained automatically by applying Neighbor-Join and
BioNJ algorithms to a matrix of pairwise distances esti-
mated using the Maximum Composite Likelihood (MCL)
approach, and then selecting the topology with superior log
likelihood value. The tree is drawn to scale, with branch
lengths measured in the number of substitutions per site.
There were a total of 1926 positions in the final dataset. The
bootstrap value was set at 1000 to represent strong evolution-
ary relationships between bobwhite and other avian species
of the phylum Chordata.
Three‑dimensional structure
Homology modeling was used to predict the three-dimen-
sional (3D) structure of bobwhite GAPDH. This was con-
ducted following steps such as template selection, sequence
alignment, backbone model building, loop modeling, side
chain refinement, model refinement using energy function,
and model evaluation. A total of 2179 templates were gen-
erated, and 50 templates were then found to match with the
bobwhite GAPDH sequence. These templates were screened
and the template with the highest quality was then selected
for building structure models. A crystal structure of GAPDH
from wild pig Sus scrofa (5tso.1) showed 86.49 identity to
bobwhite GAPDH. Three-dimensional structure of the bob-
white GAPDH was built based on the X-ray crystal structure
of GAPDH from wild pig Sus scrofa (5tso.1) available in the
protein data bank (https ://www.rcsb.org/). The model for the
bobwhite GAPDH protein was built with SWISS-MODEL
(https ://swiss model .expas y.org/), and WHATIF (https ://
swift .cmbi.umcn.nl/whati f/WIF1_4.html). The predicted
model reliability was assessed by What-Check and PRO-
CHECK. The predicted model was then visualized using
PyMol (https ://pymol .org/2/). The functional motif or active
site of GAPDH was predicted using Motif finder.
GAPDH primer set forqPCR
Quantitative PCR was performed using an API StepOne-
Plus Real-Time PCR System in a 96-well microplate with
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
a final reaction volume of 10µL. Amplification of GAPDH
(143bp) was done using blood samples collected from
experimental bobwhites. Total RNA was extracted using
QIAamp RNA Blood Mini Kit as per the manufacturer’s
instructions. Quantitative PCR was carried out as described
by Kalyanasundaram etal. [18] using the qGAPDH F and
qGAPDH R primers. GADPH expression was analyzed by
qPCR in two groups of ten bobwhite. The treated group
contained bobwhite that were experimentally infected with
O. petrowi as described in Kalyansundaram etal. [38] and
the control group were uninfected. Statistical analyses were
conducted using the Real Statistics Resource Pack software
(Release 7.2). Data normality was assessed for normality
and outliers using the Shapiro–Wilk test and Grubb’s test,
respectively. A two-factor ANOVA was used to evaluate
whether sex and/or treatment had a significant effect on the
GAPDH qPCR Cq values.
Results
The PCR amplification product of bobwhite GAPDH was
obtained at an annealing temperature of 60°C. A single
amplification band was observed in the gel analysis. The
sequence results of this product revealed a 1002bp size
bobwhite GAPDH gene (Fig.1a, b). BLAST results on
the gene sequence showed high sequence identity to Pha-
sianus colchicus (ring-necked pheasant) (97.6%), Numida
Meleagris (helmeted guineafowl) (97.6%), and Gallus gallus
(chicken) (97.5%) at the nucleotide level.
The GADPH gene in bobwhite and chicken have a similar
number of exons and have comparable intron length, except
for the intron located between exon one and two (Fig.2).
In chicken, the length of this intron is 623bp [36] but this
intron is 2001bp in bobwhite. Utilizing mRNA from this
study and the GAPDH genomic region from bio-project
(PRJNA188411), we predicted eleven exons and ten introns
in the bobwhite GAPDH (Fig.2). In total, 13 microsatel-
lites were found within intron one of the GAPDH gene
(Table1). These microsatellite regions were widely distrib-
uted throughout the intron. All microsatellites were dinu-
cleotide repeats except the 12th microsatellite which is a
tri-nucleotide repeat. The role of these microsatellites was
not determined as this was beyond scope of this study. We
predicted the sequence identity with an average of 90–96%
of the bases at the same location within the chicken and new
world quail. However, surprisingly we found considerable
sequence variation between new and old-world quail within
the introns. The highest identity (84.7%) was found with
intron four and the least identity (24.9%) found in intron one.
Fig. 1 DNA agarose gel of the
PCR products. a PCR amplifica-
tion of complete GAPDH gene
(1002bp). b PCR amplification
of GAPDH gene product using
qGAPDH primers (143bp)
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
A phylogenetic tree (Fig.3) was constructed based on
the full-length gene sequence of bobwhite GAPDH from
this study along with GAPDH genetic information for
other avian species acquired from the GenBank database.
Results of the evolutionary tree shows that the GAPDH gene
sequences for Numida Meleagris (helmeted guineafowl),
Coturnix japonica (Japanese quail), Phasianus colchicus
(common pheasant), Meleagris gallopavo (wild turkey), and
Gallus gallus (chicken) were closely related to the bobwhite
sequence. This is an expected result as these species are
closely related as they all belong to the order Galliformes.
Based upon the 1002 bp sequence, the bobwhite
GAPDH gene encodes for a 334 amino acid protein.
The molecular weight of this protein is estimated to be
35.95kDa with a pI of 9.06. The active site of the GAPDH
enzyme (ASCTTNCL) was determined to be at the 148
to 155 amino acid position and predicted to function as a
nucleophile. Based on the 3D model of GAPDH predicted
using Swiss-PDB model, a crystal structure of GAPDH
from wild pig Sus scrofa (5tso.1) showed 86.49% iden-
tity to bobwhite GAPDH in target–template alignment.
The model was then visualized using the PyMol (Fig.4a,
b). Homology modeling of GAPDH predicts a homo-
tetrameric structure with four ligands that each interact
with an NAD+ molecule. The Qualitative Model Energy
Analysis (QMEAN) local quality score estimates each
residue of the model (x-axis) and the expected similar-
ity to the native structure (y-axis). Usually, a score below
0.6 indicates a low quality model. The GAPDH model
residues all score above 0.6 which implies that this model
is of acceptable quality (Fig.4c). The QMEAN Z score
estimates the model quality through assessment of the
agreement between the predicted model and experimental
structures of similar size. Scores below −4.0 are consid-
ered indicative of a low quality models. In this predicted
model, the QMEAN Z score (−0.41) is above the −4.0
threshold. (Fig.4d).
To assess the difference in bobwhite GAPDH gene
expression, a preliminary qPCR was conducted on samples
from 20 bobwhite, with 10 from bobwhite infected with
O. petrowi and 10 uninfected control bobwhite. The mean
Cq values were in agreement between the infected group
(28.62 ± 3.53) and the control group (29.128 ± 2.67). The
increased standard deviation within the infected group is
likely due to the presence of a single outlier within the
dataset, which was confirmed through the Grubb’s test.
However even with that outlier included in the data set, the
ANOVA analysis of bobwhite GAPDH expression showed
no significant difference in Cq values between sexes or
infection status with the associated p-values being 0.35
and 0.73, respectively.
Fig. 2 Comparison of intron–exon pattern between bobwhite and
chicken GAPDH genomic region. The figure shows exons as yellow
boxes and introns as yellow lines. Exon 1 has been highlighted as a
blue box in both bobwhite and chicken. The length of the intron 1
of bobwhite and chicken GAPDH showed with black arrow. (Color
figure online)
Table 1 Prediction of microsatellites from intron one
Position in Intron1
sequence
Cycle Repeats Sequence
65 2 4 GGG GGG GG
82 2 10 GGG GGG GGG
GGG GGG GGG
GG
134 2 3 CCC CCC
142 2 4 CCC CCC CC
313 2 3 CCC CCC
483 2 3 CCC CCC
653 2 3 CCC CCC
823 2 3 CCC CCC
993 2 3 CCC CCC
1163 2 3 CCC CCC
1333 2 3 CCC CCC
1503 2 3 CCC CCC
1709 2 3 GTG TGT
1968 3 3 CTC CTC CTC
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
Discussion
GAPDH is an enzyme present in most organisms and its
primary function is to catalyze a step in the breakdown of
glucose through the glycolysis pathway. Through this role,
it maintains relatively constant levels of expression which
has made it one of the most utilized reference genes for gene
expression studies in many organisms including in avian spe-
cies such as chicken and Japanese quail [39, 40]. While the
bobwhite is from the same order, Galliformes, as both the
chicken and Japanese quail, much less is known specifically
about GAPDH and its expression levels in bobwhite. As the
interest in studying the bobwhite immune system is increas-
ing, it is essential to identify genes that can be utilized as
reference genes for gene expression studies in bobwhite.
In this study, we are developing the understanding of
GAPDH in bobwhite, and to do this, we first obtained the
full length ORF of the GAPDH sequence for bobwhite. We
then used this sequence to determine the evolutionary rela-
tionship of bobwhite GAPDH. The phylogenetic analysis
Fig. 3 Phylogenetic analysis of bobwhite GAPDH gene using Maxi-
mum Likelihood methods. The evolutionary history was inferred
using the ML method based on the Tamura–Nei model. Bootstrap
values above 50 are shown in the tree. All positions containing gaps
and missing data were eliminated. Species name and their nucleotide
accession numbers were included in the tree. There were 1926 posi-
tions for the final dataset. Evolutionary analyses were conducted in
MEGA7
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
revealed high similarity (90–96%) of bobwhite GAPDH to
other avian GAPDH particularly to the order Galliformes.
Subsequently, the intron–exon analysis of bobwhite GAPDH
showed high similarity to chicken GAPDH aside from the
increased length of the intron one (2001bp in bobwhite ver-
sus 623bp in chicken) between exon one and two at the 5′
end.
This configuration of a gene, with intron one being signif-
icantly longer than the following introns, has been reported
in many plant and animal species [41]. Lengthened introns
at the 5′ ends have been reported to have a significant role
directly or indirectly in gene transportation, regulation, and
alternative splicing [42, 43]. Identifying the reasons for this
increased intron length was beyond the scope of this study
as it must be done experimentally due to the lack of in silico
methods for predicting intron function [44]. However, the
increased length of intron one and the microsatellites found
within could have some important role in GAPDH regulation
in the bobwhite. This could be critical to understand, as stud-
ies have suggested that microsatellites can alter the expres-
sion profile between reference and tissue-specific genes [45].
Additionally, we used the ORF sequence to generate the
theoretically encoded protein, which predicted a 35.95kDa
protein. Utilizing this information and homology modeling,
we predicted that bobwhite GAPDH exists primarily as a
homo-tetramer. This is in agreement with what one would
expect for GAPDH as it is typically reported to be ~ 37kDa
and its primary active form is that of a homo-tetramer [29].
Additionally, the active site is predicted to have four ligands
each capable of binding a single NAD+ for catalytic pro-
cesses, which further solidifies the similarities of bobwhite
GAPDH to other avian GAPDH [36].
The high similarity displayed in these analyses add to the
potential of GAPDH as a reference gene for gene expres-
sion studies in bobwhite. To that end, a preliminary study
assessing Cq value variation of bobwhite GAPDH in qPCR
Fig. 4 Molecular model of bobwhite GAPDH. a The homomeric
structure of the bobwhite GAPDH predicted by homology modeling.
b Bobwhite GAPDH monomer with arrows indicating the α-helix,
β-pleated sheet, and the active site. c and d QMEANZ and QMEAN
score of the predicted model
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
analyses was conducted. This demonstrated no significant
difference in the generated Cq values between two groups
of bobwhite. This is a necessary characteristic for a gene
expression reference gene. However, further studies would
need to be conducted to thoroughly validate GAPDH’s
potential as a reference gene. These would include verifying
the stability of GAPDH gene expression between male and
female bobwhite, in which tissues the expression is stable,
and if the expression is stable under a range of treatments.
Conclusion
This study is the first to elucidate information about bob-
white GAPDH. Through experimentation and modeling, we
have confirmed that the bobwhite GAPDH gene has high
sequence identity to other avian GAPDH, including chicken,
and the encoded protein is of similar size and structure as
well. As a result, we performed a preliminary qPCR as a
test of GAPDH’s potential for use as a reference gene in
bobwhite gene expression studies. This preliminary experi-
ment showed no statistical significance in the variation of Cq
values between the uninfected and infected groups. However,
further studies would need to be conducted to thoroughly
validate GAPDH’s potential as a reference gene.
Funding This research received funding and support form Park Cit-
ies Quail Coalition (Grant No. 24A125) and the Rolling Plains Quail
Research Foundation (Grant No. 23A751).
Data availability All data generated or analyzed during this study are
included in this manuscript. Sequencing data obtained from this study
has been submitted in DNA Data Bank of Japan (DDBJ) (Acc No.
LC569866).
Compliance with ethical standards
Conflict of interest The authors declare that they have no conflict of
interest.
Ethical approval This experiment was approved by Texas Tech Uni-
versity Animal Care and Use Committee under protocol 18044-05 and
16071-08. All bobwhites were trapped and handled according to Texas
Parks and Wildlife permit SRP-0715-095.
References
1. Hernández F, Guthery FS (2012) Beef, brush, and bobwhites:
quail management in cattle country, 2nd edn. Texas A&M Uni-
versity Press, College Station
2. Johnson JL, Rollins D, Reyna KS (2012) What’s a quail worth? A
longitudinal assessment of quail hunter demographics, attitudes,
and spending habits in Texas. Natl Quail Symp Proc 7:294–299
3. Nice MM (1910) Food of the bobwhite. J Econ Entomol
3:295–313
4. Brennan LA (1991) How can we reverse the northern bobwhite
population decline? Wildl Soc Bull 19:544–555
5. Hernández F, Brennan LA, DeMaso SJ, Sands JP, Wester DB
(2013) On reversing the northern bobwhite decline: 20 years later.
Wildl Soc Bull 37:177–188
6. Sauer JR, Hines JE, Fallon JE, Pardieck KL, Ziolkowski DJ
Jr, Link WA (2013) The North American Breeding Bird Sur-
vey, results, and analysis 1966–2013. USGS Patuxent Wildlife
Research Center, Laurel
7. Rollins D (2007) Quails on the rolling plains. In: Brennan L (ed)
Texas quails: ecology and management. Texas A&M University
Press, College Station, pp 117–141
8. Olsen AC, Fedynich AM (2016) Helminth infections in northern
bobwhites (Colinus virginianus) from a legacy landscape in Texas,
USA. J Wildl Dis 52:576–581
9. Dunham NR, Henry C, Brym MZ, Rollins D, Helman RG, Ken-
dall RJ (2017) Caecal worm, Aulonocephalus pennula, infection
in the northern bobwhite quail, Colinus virginianus. Int J Parasitol
Parasites Wildl 6:35–38
10. Henry C, Brym MZ, Kendall RJ (2017) Oxyspirura petrowi and
Aulonocephalus pennula infection in wild northern bobwhite quail
in the Rolling Plains ecoregion, Texas: possible evidence of a die-
off. Arch Parasitol 1:109
11. Bruno A, Fedynich A, Rollins D, Wester D (2018) Helminth com-
munity and host dynamics in northern bobwhites from the Rolling
Plains ecoregion, USA. J Helminthol 93:567–573
12. Bruno A (2014) Survey for Trichomonas Gallinae and assess-
ment of helminth parasites in northern bobwhites from the Rolling
Plains ecoregion. Thesis, Texas A&M University, Kingsville
13. Dunham NR, Soliz LA, Fedynich AM, Rollins D, Kendall RJ
(2014) Evidence of an Oxyspirura petrowi epizootic in north-
ern bobwhites (Colinus virginianus), Texas, USA. J Parasitol
50:552–558
14. Kistler WM, Parlos JA, Peper ST, Dunham NR, Kendall RJ
(2016) A quantitative PCR protocol for detection of Oxyspirura
petrowi in northern bobwhites (Colinus virginianus). PLoS ONE
11:e0166309
15. Kalyanasundaram A, Blanchard KR, Kendall RJ (2017) Molecular
identification and characterization of partial COX1 gene from cae-
cal worm (Aulonocephalus pennula) in Northern bobwhite (Coli-
nus virginianus) from the Rolling Plains ecoregion of Texas. Int
J Parasitol Parasites Wildl 6:195–201
16. Kalyanasundaram A, Henry C, Brym MZ, Kendall RJ (2018)
Molecular identification of Physaloptera sp. from wild northern
bobwhite (Colinus virginianus) in the Rolling Plains ecoregion of
Texas. Parasitol Res 117:2963–2969
17. Blanchard KR, Kalyanasundaram A, Henry C, Brym MZ, Surles
JG, Kendall RJ (2019) Predicting seasonal infection of eyeworm
(Oxyspirura petrowi) and caecal worm (Aulonocephalus pennula)
in northern bobwhite quail (Colinus virginianus) of the Rolling
Plains ecoregion of Texas, USA. Int J Parasitol Parasites Wildl
8:50–55
18. Kalyanasundaram A, Blanchard KR, Henry BJ, Henry C, Brym
MZ, Kendall RJ (2019) Quantitative analysis of northern bob-
white (Colinus virginianus) cytokines and TLR expression to eye-
worm (Oxyspirura petrowi) and caecal worm (Aulonocephalus
pennula) glycoproteins. Parasitol Res 118:2909–2918
19. Hong YH, Lillehoj HS, Lee SH, Dalloul RA, Lillehoj EP (2006)
Analysis of chicken cytokine and chemokine gene expression fol-
lowing Eimeria acervulina and Eimeria tenella infections. Vet
Immunol Immunopathol 114:209–223
20. Lillehoj HS, Kim CH, Keeler CL Jr, Zhang S (2007) Immunog-
enomic approaches to study host immunity to enteric pathogens.
Poult Sci 86:1491–1500
21. Dalgaard TS, Skovgaard K, Norup LR, Pleidrup J, Permin A,
Schou TW, Vadekær DF, Jungersen G, Juul-Madsen HR (2015)
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Molecular Biology Reports
1 3
Immune gene expression in the spleen of chickens experimen-
tally infected with Ascaridia galli. Vet Immunol Immunopathol
164:79–86
22. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista
M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J,
Wittwer CT (2009) The MIQE guidelines: minimum information
for publication of quantitative real-time PCR experiments. Clin
Chem 55:611–622
23. Kozera B, Rapacz M (2013) Reference genes in real-time PCR. J
Appl Genet 54:391–406
24. Thellin O, Zorzi W, Lakaye B, De Borman B, Coumans B, Hen-
nen G, Grisar T, Igout A, Heinen E (1999) Housekeeping genes
as internal standards: use and limits. J Biotechnol 75:291–295
25. Cheng WC, Chang CW, Chen CR etal (2011) Identification of
reference genes across physiological states for qRT-PCR through
microarray meta-analysis. PLoS ONE 6:e17347. https ://doi.
org/10.1371/journ al.pone.00173 47
26. Barber RD, Harmer DW, Coleman RA, Clark BJ (2005) GAPDH
as a housekeeping gene: analysis of GAPDH mRNA expression
in a panel of 72 human tissues. Physiol Genom 21:389–395
27. Eisenberg E, Levanon EY (2013) Human housekeeping genes,
revisited. Trends Genet 29:569–574
28. Bruns GA, Gerald PS (1976) Human glyceraldehyde-3-phosphate
dehydrogenase in man-rodent somatic cell hybrids. Science
192:54–56
29. Sirover MA (1999) New insights into an old protein: the func-
tional diversity of mammalian glyceraldehyde-3-phosphate dehy-
drogenase. Biochim Biophys Acta 1432:159–184
30. Tristan C, Shahani N, Sedlak TW, Sawa A (2011) The diverse
functions of GAPDH: views from different subcellular compart-
ments. Cell Signal 23:317–323
31. Colell A, Green DR, Ricc JE (2009) Novel roles for GAPDH in
cell death and carcinogenesis. Cell Death Differ 16:1573–1581
32. Butterfield DA, Hardas SS, Bader Lange ML (2010) Oxidatively
modified glyceraldehyde-3-phosphate dehydrogenase (GAPDH)
and Alzheimer disease: many pathways to neurodegeneration. J
Alzheimers Dis 20:369–393
33. Butera G, Mullappilly N, Masetto F, Palmieri M, Scupoli MT,
Pacchiana R, Donadelli M (2019) Regulation of autophagy by
nuclear GAPDH and its aggregates in cancer and neurodegenera-
tive disorders. Int J Mol Sci 20:2062
34. Halley YA, Dowd SE, Decker JE, Seabury PM, Bhattarai E (2014)
A draft de novo genome assembly for the northern bobwhite (Col-
inus virginianus) reveals evidence for a rapid decline in effective
population size beginning in the Late Pleistocene. PLoS ONE
9:e90240
35. Oldeschulte DL, Halley YA, Wilson ML, Bhattarai EK, Brashear
W, Hill J, Metz RP, Johnson CD, Rollins D, Peterson MJ, Bickhart
DM, Decker JE, Sewell JF, Seabury CM (2017) Annotated draft
genome assemblies for the northern bobwhite (Colinus virgin-
ianus) and the scaled quail (Callipepla squamata) reveal dispa-
rate estimates of modern genome diversity and historic effective
population size. G3 (Bethesda) 7:3047–3058
36. Stone EM, Rothblum KN, Alevy MC, Kuo TM, Schwartz RJ
(1985) Complete sequence of the chicken glyceraldehyde-3-phos-
phate dehydrogenase gene. Proc Nat Acad Sci 82:1628–1632
37. Kumar S, Stecher G, Li M, Knyaz C, Tamura K (2018) MEGA7:
MEGA X: molecular evolutionary genetics analysis across com-
puting platforms. Mol Biol Evol 35:1547–1549
38. Kalyansundaram A, Brym MZ, Blanchard KR, Henry C, Skinner
K, Henry BJ, Herzog J, Hay A, Kendall RJ (2019) Life-cycle of
Oxyspirura petrowi (Spirurida: Thelaziidae), an eyeworm of the
northern bobwhite quail (Colinus virginianus). Parasit Vectors
2:555. https ://doi.org/10.1186/s1307 1-019-3802-3
39. Li YP, Bang DD, Handberg KJ, Jorgensen PH, Zhang MF (2005)
Evaluation of the suitability of six host genes as internal control in
real-time RT-PCR assays in chicken embryo cell cultures infected
with infectious bursal disease virus. Vet Microbiol 110:155–165
40. Carvalho AV, Courousse N, Crochet S, Coustham V (2019) Identi-
fication of reference genes for quantitative gene expression studies
in three tissues of Japanese quail. Genes (Basel) 10:197
41. Bradnam KR, Korf I (2008) Longer first introns are a general
property of eukaryotic gene structure. PLoS ONE 3:e3093
42. Majewski J, Ott J (2002) Distribution and characterization of regu-
latory elements in the human genome. Genome Res 12:1827–1836
43. Jo BS, Choi SS (2015) Introns: the functional benefits of introns
in genomes. Genom Inform 13:112–118
44. Rose AB (2019) Introns as gene regulators: a brick on the accel-
erator. Front Genet 9:672
45. Lawson MJ, Zhang L (2008) Housekeeping and tissue-specific
genes differ in simple sequence repeats in the 5′-UTR region.
Gene 407:54–62
Publisher’s Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations.
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
1.
2.
3.
4.
5.
6.
Terms and Conditions
Springer Nature journal content, brought to you courtesy of Springer Nature Customer Service Center GmbH (“Springer Nature”).
Springer Nature supports a reasonable amount of sharing of research papers by authors, subscribers and authorised users (“Users”), for small-
scale personal, non-commercial use provided that all copyright, trade and service marks and other proprietary notices are maintained. By
accessing, sharing, receiving or otherwise using the Springer Nature journal content you agree to these terms of use (“Terms”). For these
purposes, Springer Nature considers academic use (by researchers and students) to be non-commercial.
These Terms are supplementary and will apply in addition to any applicable website terms and conditions, a relevant site licence or a personal
subscription. These Terms will prevail over any conflict or ambiguity with regards to the relevant terms, a site licence or a personal subscription
(to the extent of the conflict or ambiguity only). For Creative Commons-licensed articles, the terms of the Creative Commons license used will
apply.
We collect and use personal data to provide access to the Springer Nature journal content. We may also use these personal data internally within
ResearchGate and Springer Nature and as agreed share it, in an anonymised way, for purposes of tracking, analysis and reporting. We will not
otherwise disclose your personal data outside the ResearchGate or the Springer Nature group of companies unless we have your permission as
detailed in the Privacy Policy.
While Users may use the Springer Nature journal content for small scale, personal non-commercial use, it is important to note that Users may
not:
use such content for the purpose of providing other users with access on a regular or large scale basis or as a means to circumvent access
control;
use such content where to do so would be considered a criminal or statutory offence in any jurisdiction, or gives rise to civil liability, or is
otherwise unlawful;
falsely or misleadingly imply or suggest endorsement, approval , sponsorship, or association unless explicitly agreed to by Springer Nature in
writing;
use bots or other automated methods to access the content or redirect messages
override any security feature or exclusionary protocol; or
share the content in order to create substitute for Springer Nature products or services or a systematic database of Springer Nature journal
content.
In line with the restriction against commercial use, Springer Nature does not permit the creation of a product or service that creates revenue,
royalties, rent or income from our content or its inclusion as part of a paid for service or for other commercial gain. Springer Nature journal
content cannot be used for inter-library loans and librarians may not upload Springer Nature journal content on a large scale into their, or any
other, institutional repository.
These terms of use are reviewed regularly and may be amended at any time. Springer Nature is not obligated to publish any information or
content on this website and may remove it or features or functionality at our sole discretion, at any time with or without notice. Springer Nature
may revoke this licence to you at any time and remove access to any copies of the Springer Nature journal content which have been saved.
To the fullest extent permitted by law, Springer Nature makes no warranties, representations or guarantees to Users, either express or implied
with respect to the Springer nature journal content and all parties disclaim and waive any implied warranties or warranties imposed by law,
including merchantability or fitness for any particular purpose.
Please note that these rights do not automatically extend to content, data or other material published by Springer Nature that may be licensed
from third parties.
If you would like to use or distribute our Springer Nature journal content to a wider audience or on a regular basis or in any other manner not
expressly permitted by these Terms, please contact Springer Nature at
onlineservice@springernature.com
- A preview of this full-text is provided by Springer Nature.
- Learn more
Preview content only
Content available from Molecular Biology Reports
This content is subject to copyright. Terms and conditions apply.