The northern bobwhite (Colinus virginianus) is an ecologically and economically important avian species. At the present time, little is known about the microbial communities associated with these birds. As the first step to create a quail microbiology knowledge base, the current study conducted an inventory of cultivable quail tracheal, crop, cecal, and cloacal microbiota and associated antimicrobial resistance using a combined bacteriology and DNA sequencing approach. A total of 414 morphologically unique bacterial colonies were selected from nonselective aerobic and anaerobic cultures, as well as selective and enrichment cultures. Analysis of the first 500-bp 16S rRNA gene sequences in conjunction with biochemical identifications revealed 190 non-redundant species-level taxonomic units, representing 160 known bacterial species and 30 novel species. The bacterial species were classified into 4 phyla, 14 orders, 37 families, and 59 or more genera. Firmicutes was the most commonly encountered phylum (57%) followed by Actinobacteria (24%), Proteobacteria (17%) and Bacteroidetes (0.02%). Extensive diversity in the species composition of quail microbiota was observed among individual birds and anatomical locations. Quail microbiota harbored several opportunistic pathogens, such as E. coli and Ps. aeruginosa, as well as human commensal organisms, including Neisseria species. Phenotypic characterization of selected bacterial species demonstrated a high prevalence of resistance to the following classes of antimicrobials: phenicol, macrolide, lincosamide, quinolone, and sulphate. Data from the current investigation warrant further investigation on the source, transmission, pathology, and control of antimicrobial resistance in wild quail populations.
Citation: Su H, McKelvey J, Rollins D, Zhang M, Brightsmith DJ, Derr J, et al. (2014) Cultivable Bacterial Microbiota of Northern Bobwhite (Colinus virginianus): A New Reservoir of Antimicrobial Resistance? PLoS ONE 9(6): e99826. https://doi.org/10.1371/journal.pone.0099826
Editor: Axel Cloeckaert, Institut National de la Recherche Agronomique, France
Received: February 20, 2014; Accepted: May 18, 2014; Published: June 17, 2014
Copyright: © 2014 Su 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 financially supported by the Rolling Plains Quail Research Ranch Foundation. 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.
The northern bobwhite (Colinus virginianus) is an ecologically and economically important natural resource in the United States. A survey conducted by the U.S. Fish and Wildlife Service in 2011 indicates that bobwhite is one of the most preferred small game species pursued by over 840,000 hunters on over 9 million hunting days in 2011 . Over the past several decades, bobwhite populations have been declining across their range. In the state of Texas alone, bobwhites have been diminishing at an average annual rate of 5.6% since 1980 which has resulted in a 75% population decline . Although habitat loss associated with intensive agricultural practices has been considered as a major contributor, quail declines have continued even in areas of apparently suitable habitat during favorable weather conditions . The involvement of infectious agents has been investigated, but studies have failed to identify any pathogens with the potential to kill large numbers of quail , . This ongoing decline, termed “Idiopathic Quail Decline” underscores the need for a holistic approach to the study of quail health , .
One important aspect of animal health that is just beginning to be understood among many vertebrate species is the indigenous microbial populations or the microbiota. Recent investigations have shown that the host’s nutritional, physiological, and immunological processes are profoundly affected by the microbiota , , . However, the composition of the microbiota is also influenced by factors such as the host’s genetics, diet, environment, and infection status , . The gut microbiota contributes to the digestion and fermentation of carbohydrates, the development of gut-associated lymphoid tissues (GALTs), and the prevention of colonization by pathogens .
Over the past two decades, numerous culture-dependent and culture-independent microbiome studies have been carried out to characterize the composition and dynamic changes of intestinal microbiota of mammals, domestic poultry, and several wild avian species , , , , . However, the microbiota of northern bobwhite remains largely unexplored. Documenting the microbiota of this species is important because it may identify agents that could contribute to the ongoing population declines. In addition, it is important to document the presence and extent of antimicrobial resistance in bobwhite bacterial microbiota because wild birds could carry drug resistant bacteria potentially pathogenic to humans and other animal species , . Although wild bobwhite populations do not have contact with antibiotics as therapeutic agents, exposure via water and food contaminated by antimicrobial resistant bacteria originating from human waste or farm-reared quail is likely , , . Previously, multidrug resistant Salmonella enterica serovar Typhimurium was isolated from diseased bobwhites . Resistance to tetracycline was detected in Edwardsiella hoshinae isolated from healthy northern bobwhite quail . However, no study has been conducted to determine the susceptibility or resistance patterns of other bacterial species commonly found in avian and mammalian gastrointestinal tracts. If bobwhites do carry drug-resistant organisms as part of their microbiota, they may serve as a reservoir for antimicrobial resistant bacteria or resistance genes that can be transmitted to other wild animals or to humans upon handling and consumption.
To fill the gaps in existing knowledge relating to bobwhite microbiology, the current investigation characterized cultivable tracheal and gastrointestinal microbiota of wild northern bobwhite and determined the antimicrobial susceptibility and resistance patterns of selected commensal and opportunistic pathogenic bacterial species.
Materials and Methods
Sample Collection and Processing
Sample collection and processing were completed by the Central Specimen Receiving, Processing and Distribution Laboratory (CSRPDL) of the Institute of Environmental and Human Health, Texas Tech University. Animal and tissue uses were approved by the Institutional Animal Care and Use Committees of Texas A&M University (IACUC 2011-193) and Texas Tech University (IACUC 11049-07). A total of 49 live-trapped bobwhites throughout the Rolling Plains Ecoregion were used in this study. Due to sample sharing among multiple investigators, only 49 trachea, 48 crops, 39 ceca, and 38 cloacal swabs were available for microbiological evaluations. All trapping practices were conducted under the auspices of a Texas Parks & Wildlife Department Scientific Collector’s permit. Each bird was labeled with a unique 6-digit ID number while the sex and age were determined by trained personnel using plumage characteristics. The age of three birds was not labeled due to unknown reasons. Tissue and swab samples in Cary-Blair transport medium (BD, Franklin Lakes, NJ, USA) were transported from the field on ice to CSRPDL within 8 hours. All samples were stored at −20°C until testing (within 2 months). Prior to culture, trachea, crops, and ceca were thawed and cut open aseptically.
Cultivation of Bacteria
The luminal contents and/or mucosal surfaces of trachea, crops, and ceca were sampled with sterile polyester swabs (Puritan Medical, Guilford, Maine, USA). Tracheal samples were inoculated onto the surface of solid media including Tryptic Soy Agar with 5% Sheep Blood (TSA), Columbia Colistin Nalidixic Acid agar with 5% Sheep Blood (CNA), Anaerobic Phenylethyl Alcohol Blood agar (PEA), MacConkey agar (MAC), and Lowenstein-Jensen Medium Slants (LJ); and into Brain Heart Infusion broth (BHI) and Mycoplasma broth (Frey). Crop, cecal, and cloacal samples were inoculated on to TSA, CNA, PEA, MAC, and Xylose-lysine-tergitol 4 (XLT4) as well in Brain Heart Infusion broth (BHI) and Buffered Peptone Water (BPW). Aerobic cultures (TSA, CNA, LJ, BHI, and Frey) were incubated at 37°C in either 5% CO2 or ambient air (MAC, BPW, and XLT4). Anaerobic cultures (TSA, PEA, and BHI) were incubated at 37°C in anaerobic jars with disposable gas packs (Remel Inc., Lenexa, Kansas, USA). Cultures (TSA, CNA, MAC, PEA, XLT4) were examined daily for growth up to 5 days. Mycoplasma cultures (Frey) and mycobacteria cultures (LJ) were incubated for 14 days. BHI and BPW cultures were subcultured after overnight incubation onto TSA and XLT4, respectively. Morphologically unique bacterial colonies were subcultured under appropriate conditions to obtain pure cultures.
Bacterial Identification and Antimicrobial Susceptibility Testing
Partial characterization of bacterial strains was also performed by biochemical tests, including Gram staining; production of oxidase, catalase, urease; motility, and indole test. Selected biochemical reactions from several bacterial ID kits, including RapID CB Plus, RapID ANA II, RapID NF Plus, RapID One, RapID Staph, and RapID STR, were also used to confirm identity. Pure bacterial cultures were subjected to 16S rRNA gene sequencing. To prepare DNA template for PCR, isolated colonies (1 to 2) were resuspended in 100 µl of ddH2O and boiled for 10 min. The bacterial broad-range 16S rDNA primer pairs: fD1mod (5′-AGAGTTTGATCYTGGYYYAG-3′, corresponding to positions 8–27 in the E. coli 16S rRNA gene) and 16S1RR-B (5′-CTTTACGCCCARTRAWTCCG-3′, corresponding to positions of 556–575)  were used to amplify the 5′ end of the 16S rRNA gene. The thermal cycling conditions were as follows: an initial denaturation at 94°C for 3 min; 35 cycles of 94°C for 30 sec, 56°C for 30 sec, and 72°C for 30 sec; and a final extension step at 72°C for 7 min. A portion of each PCR product was subjected to electrophoresis on 1.5% agarose gel and visualized using the AlphaImager Gel Documentation system (ProteinSimple, Santa Clara, CA). The PCR products were purified and sequenced using the 16S1RR-B primer. The resultant sequences were subjected to homology search against GenBank database by using the BLAST search algorithm as well as MicroSeq ID 2.0 500-bp library (Applied Biosystems, Foster, CA). Sequence identities of ≥99% and ≥97% were used as criteria for species and genus assignments, respectively. The sequences sharing less than 97% identities with the 16S rRNA sequences in the databases were considered as potentially new species .
Selected bacterial species were subjected to antimicrobial susceptibility testing using the Sensititer Veterinary Susceptibility Plates, AVIAN1F, (Trek Diagnostic Systems, Westlake, OH). The inoculated antimicrobial plates were incubated at 37°C in ambient air for 24 h. The antimicrobial agents tested included amoxicillin, ceftiofur, clindamycin, enrofloxacin, erythromycin, florfenicol, gentamicin, neomycin, novobiocin, oxytetracycline, penicillin, spectinomycin, streptomycin, sulphadimethoxine, sulphatiazole, tetracycline, trimethoprim/sulpha, and tylosin. The results were interpreted by using Clinical Laboratory Standards Institute (CLSI) guidelines for broth microdilution methods . E. coli ATTC 25922 and Ps. aeruginosa ATCC 27853 were used as the quality control strains.
To determine if the number of bacterial species found in each sample varied with regard to sex, age, tissue type or sex by age interaction we used a general linear model with a Poisson distribution. To determine if the distribution of bacterial species varied with tissue type, sex, age and the sex by age interaction term we used a binomial logistic regression for all bacterial species which were detected in 15 or more different tissues. Binomial logistic regression was used to determine if the distribution of bacterial genera varied by tissue type, sex, age and the sex by age interaction for all genera which were detected in 15 or more tissue samples analyzed. These analyses included data from 45 healthy bobwhites for which age class and sex were known. Data from one Scaled Quail (Callipepla squamata) and one sick Northern Bobwhite were omitted along with data from two birds for which age class was unknown and one for which age, sex and species were unknown. For all analyses we used an α = 0.05.
The Composition of Cultivable Bacterial Microbiota
A total of 828 representative bacterial colonies were collected from nonselective aerobic and anaerobic cultures, as well as selective and enrichment cultures for Mycoplasma spp., Mycobacterium spp., and Salmonella enterica serovars. Bacterial colonies were screened based on their morphological, growth, and biochemical characteristics. When two or more colonies showed identical morphology and biochemical characteristics, only one of these colonies was sequenced. In total, 414 distinct colonies were subjected to 16S rRNA gene sequencing which revealed 190 nonredundant species-level taxonomic units. One hundred-sixty (84%) sequences shared 99% to 100% similarities to the 16S rRNA gene sequences deposited in GenBank, therefore representing known bacterial species. In addition, 9 (4.74%) sequences showed 97% to 98% similarities and 21 (11%) sequences had less than 97% of similarities to previously reported 16S rRNA gene sequences, suggesting that these were novel species and genera (Table S1). The sequences of all species level taxa have been submitted to Genbank.
The quail bacterial species could be classified into 4 phyla, 14 orders, 38 families, 61 genera, and 160 known species and potentially 30 novel species (Table 1). Firmicutes (56%) was the largest phylum, followed by Actinobacteria (24%), Proteobacteria (18%) and Bacteroidetes (0.02%). At family level, the vast majority of bacterial species belonged to Bacillaceae (22%), Paenibacillaceae (11%), Enterobacteriaceae (11%), Microbacteriaceae (6.84%), Lactobacillaceae (5.79%), and Streptococcaceae (5.79%).
Composition of Tissue-specific Cultivable Bacterial Microbiota
The tracheal microbiota consisted of 21 species belonging to 12 families with Lactobacillaceae (19%) being the most commonly encountered bacterial family. The crop microbiota consisted of 90 species in 20 families with Bacillaceae (21%) and Enterobacteriaceae (18%) being the top 2 families. The cecal microbiota consisted of 69 species from 22 families with Bacillaceae (29%), Enterococcaceae (10%), and Paenibacillaceae (10%) being the top 3 families. The cloacal microbiota was composed of 71 species belonging to 19 families with Bacillaceae (28%) and Streptococcaceae (13%) being the majority (Table 2).
Influence of Age, Sex, and Tissue Type on Quail Cultivable Bacterial Microbiota
Significant differences in the distribution of bacterial taxa among age, sex, and tissue groups were detected. At the genus level, the regression models explained between 16% and 57% of the variation in the distribution of the eight most common bacterial genera (Table 3). Of these eight genera, only three differed significantly between males and females (Binomial Logistic Regression, Table 3). Enterococcus was more common than expected in females (p = 0.013) and Rothia and Streptococcus were more common than expected in males (p = 0.024 and 0.036, respectively). Only Paenibacillus differed between age classes: it was more common than expected in juveniles (p = 0.05, Table 3). For Cronobacter the sex by age interaction term was significant: this genus was much less common than expected in adult females and slightly more common than expected in adult males (p = 0.04, Table 3). At species level, Enterococcus faecium was more common in females than males (p = 0.043) and Rothia nasimurium was more common in males than females (p = 0.026).
Most variations in quail microbiota were driven by tissue types or anatomical locations. Compared to intestinal microbiota, tracheal microbiota was less diverse, as evidenced by the low number of taxa found in tracheal samples. All of the 8 most common bacterial genera differed significantly among tissue types (P<0.0002 for all). Cronobacter, Rothia, and Streptomyces were most common in crop while Enterococcus, Lactobacillus and Paenibacillus were most common in cecum. Streptococcus and Bacillus were fairly common in all three sections of the GI tract but were very rare or absent from the trachea.
Bacterial Species Diversity of Quail Cultivable Bacterial Microbiota
Data for 28 quail for which all four tissue types were available for culture were analyzed and presented in Fig. 1A. The number of bacterial taxa found per tissue analyzed did not differ significantly by sex, age or the interaction between sex and age, but did differ significantly by the type of tissue analyzed (GLMPoisson distribution: Overall ChiSquare = 126, DF = 6, P<0.0001, P values for sex, age and sex*age >0.1, P value for tissue type <0.0001). Cultures of most quail yielded 16 to 20 bacterial species per bird. The cultures of a moribund juvenile bird yielded 26 bacterial species (Fig. 1A). Extensive variation in the composition of quail microbiota was observed among individual birds (Fig. 1B). Approximately 48% of bacterial species were unique to individual birds; 17%, 8%, 5%, and 4% of bacterial species were found in 2, 3, 4, and 5 birds, respectively (Fig. 1B). In general, less than 3% of bacterial species could be found in more than 7 quail.
1A. Species data from 28 individual quail for which all four tissue types are presented. Cultures of most quail yielded 16 to 20 bacterial species while the cultures of a moribund quail gave rise to 26 bacterial species. 1B. Data presented are percentage of unique bacterial species (total number = 190) found in individual quail. Vast majority of bacterial species were unique to individual quail.
At the tissue level, samples from the cecum had the highest number of bacterial species (6.25±2.89, N = 36 analyzed) followed by crop (6.4±2.78, N = 43), cloaca (4.0±0.2.67, N = 29) and trachea (1.36±0.74, N = 14). Means from all four tissue types differed significantly (Least Squares Means Student’s t test, p<0.05). Eighty one percent of tracheal bacterial species were unique to individual tissue samples; and only 10% and 5% were found in 2 and 3 tissues, respectively (Fig. 2A). About 53% of crop bacterial species were unique to individual samples and less than 4% of bacterial species were found in 4 or more samples (Figure 2B). Compared to crop microbiota, less diversity was associated with cecal microbiota. About 41% of cecal bacterial species were unique to individual samples and less than 4% of bacterial species were found in seven or more samples (Fig. 2C). The cloacal microbiota also demonstrated extensive diversity among birds with 65% of bacterial species being unique to individual samples and less than 3% of bacterial species being isolated from 4 or more samples (Fig. 2D).
Data shown are the percentages of unique bacterial species (total number = 190) found in individual quail. Vast majority of bacterial species were unique to individual tissue samples.
Cross-tissue analysis of microbiota showed that 48% of tracheal species were found in the intestine (Fig. 3). These species included Acinetobacter baumannii, Bacillus aryabhattai, Bacillus subtilis, Enterococcus faecium, Klebsiella oxytoca, Lactobacillus agilis, Lactobacillus salivarius, Lactobacillus gasseri, Microbacterium testaceum, and Pseudomonas aeruginos. Variation throughout the intestinal tract was detected. Only 8 bacterial species (4.47%) were consistently cultured from crops, ceca, and cloaca (Figure 3). The common species of intestinal microbiota included Bacillus cereus, Bacillus megaterium, Bacillus nealsonii, Bacillus pumilus, Bacillus simplex, Bacillus subtilis, Enterococcus faecium, and Staphylococcus gallinarum. Bacillus subtilis and Enterococcus faecium were the common species found in all tissue specific microbiota.
Data shown are the numbers (percentage) of species that are unique or shared by tissue-specific quail cultivable bacterial microbiota. About 47.62% tracheal bacterial were cultured from gastrointestinal tract, including Acinetobacter baumannii, Bacillus aryabhattai, Bacillus subtilis, Enterococcus faecium, Klebsiella oxytoca, Lactobacillus agilis, Lactobacillus salivarius, Lactobacillus gasseri, Microbacterium testaceum, and Pseudomonas aeruginos. Species diversity was detected throughout the gastrointestinal tract with only 8 (4.47%) common bacterial species including Bacillus cereus, Bacillus megaterium, Bacillus nealsonii, Bacillus pumilus, Bacillus simplex, Bacillus subtilis, Enterococcus faecium, and Staphylococcus gallinarum.
Pathogenic and Opportunistic Pathogenic Bacterial Species
Mycobacterium sp., possibly a member of the M. terrae complex, was isolated from the trachea of one bird. Pseudomonas aeruginosa was identified from 12 (24%) birds, including 8 tracheae, 2 crops, and 3 ceca. E. coli was cultured from 16 (32%) quail, including 1 crop and 15 ceca (Table 4). In addition, several species usually considered as human commensal organisms, including Neisseria flavescens (6%) and Neisseria sicca (6%) were cultured from the ceca and cloaca of quail (Table 4).
Antimicrobial Resistance of Quail Cultivable Bacterial Microbiota
Phenotypic analysis of quail bacterial isolates revealed varying degrees of resistance to multiple classes of antimicrobials (Table 5 and 6). Resistance to penicillin, clindamycin, erythromycin, and sulphadimethoxine was detected in all E. coli (100%) isolates (n = 16). Resistance to florfenicol and sulphatiazole were found in 75% and 25% of isolates, respectively (Table 5). Intermediate susceptibility to spectinomycin, florfenicol and sulphatiazole was shown by 100%, 75%, and 25% of E. coli isolates, respectively. Similar resistance patterns were detected in Enterobacter and Neisseria isolates except that most Enterobacter isolates were also resistant to amoxicillin and Neisseria isolates were susceptible to florfenicol. Resistance to 15 of the 18 antimicrobials tested was detected in vast majority of Ps. aeruginosa isolates (Table 5). Intermediate susceptibility to Oxytetracycline was found in 54% of the isolates. Gentamicin and Neomycin were the only 2 antimicrobials effective against all Ps. aeruginosa isolates. Antimicrobial resistance was also detected in Gram positive bacteria (Table 6). Most E. faecalis isolates were resistant to ceftiofur, streptomycin, clindamycin, sulphadimethoxine, and sulphatiazole. Intermediate susceptibility to spectinomycin and enrofloxacin was detected in E. faecalis isolates. B. subtlis and S. gallinarum were less resistant than E. faecalis to several antimicrobials tested.
The present study provides the first inventory of cultivable bacterial microbiota of northern bobwhite. Using traditional microbiological cultures, biochemical testing, and 16S rDNA sequencing, we cultured and identified a large number of quail bacteria to species level. In total, we obtained 190 bacterial species with 21, 90, 69, and 71 species from the trachea, crop, ceca, and cloaca, respectively. The species coverage was greater than what were achieved in previous studies using culture-independent technique to characterize the cloacal microbiome of parrot (49 operational taxonomic units, OTU’s) or wild black-legged kittiwakes (64 OTUs) , . However, culture-dependent approach made it less possible for in-depth quantitative analysis of species abundance and most likely failed to capture many bacterial species that cannot be cultured in the lab. Nonetheless, a collection of diverse live cultures made it possible for phenotypic characterization of microbes of interest.
Similar to the microbiota of other wild avian species, the microbial community of quail consists primarily of 4 phyla, including Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes , , , . Although both Firmicutes and Bacteroidetes are predominant phyla in the microbiome of mammals or domestic poultry, Bacteroidetes were rarely detected in the current study or previous studies dealing with certain bird species, such as gull and parrots , , . The members of Bacteroidetes are known for their ability to degrade carbohydrates which are readily available to granivores, including bobwhites. This could be a result of technical limitations, such as sample storage, shipment, culture media not optimized for wild quail specimens, because we did experience difficulties in maintaining the viability of certain obligate anaerobic isolates which could affect the final results. In this study, we detected a relative richness in Actinobacteria and Bacillus which may be associated with the ground-dwelling life style of bobwhites that are in close contact with many soil bacteria. These bacterial species in quail gut may help to digest cellulose in quail diet, such as greens and fibrous seeds (e.g., Russian thistle, Salsola kali).
This study also shows that the composition of quail microbiota was significantly affected by age, sex, and tissue type. More juvenile than adult birds carried Paenibacillus, a genus of bacteria widely distributed in rhizosphere, forages, and insect larvae , . The members of this genus are known as plant growth promoting rhixovbacteria that can act as biofertilizers and biopesticides of plant pathogens. This genus of bacteria has also been demonstrated to be inhibitors of pathogenic bacteria of animals, such as Campylobacter jejuni and Clostridium botulinum , . The antimicrobial property of Paenibacillus may be utilized to promote quail gut health as being done in chickens . In addition to age, sex was another factor that influenced the distribution of two closely related genera, namely Enterococcus and Streptococcus. In addition, we observed that the vast majority of bacterial species were unique to individual birds and only a small percentage of bacterial species could be found in multiple birds. Variation in bacterial species composition was also detected among tissues with only eight species being conserved throughout the intestinal tract. In this study, the experimental quail were collected from multiple ranches across the Rolling Plains ecoregion which may contribute to this high degree of variation among individual quail.
We performed several types of selective and enrichment cultures to capture pathogenic bacteria that have fastidious growth requirements. However, our results show an extremely low prevalence of traditionally known respiratory and enteric pathogens in bobwhite populations. Except the Mycobacterium species isolated from one bird, no other obligate and zoonotic agents were cultured from bobwhite. The low prevalence could be associated with technical limitations such as media and culture conditions were not optimized for wild quail specimens. Instead, we isolated several opportunistic pathogens, such as E. coli, Enterobacter spp, and Ps. aeruginosa. In general, E. coli is not considered part of the intestinal flora of granivorous birds and its prevalence is much higher in farm-reared and restocked birds than wild populations , . Ps. aeruginosa is known as an environmental organism and airway colonization by Ps. aeruginosa can contribute to local inflammation and respiratory disorder , . Additionally, bobwhite cloacal microbiota harbored several species that are usually considered human commensal organisms, including Neisseria species and Streptococcus mitis. Whether these are indigenous quail bacteria or contaminants due to human activities remains to be determined.
Antimicrobial resistance is an important issue to both wildlife conservation and public health . The prevalence of antimicrobial resistance in wildlife is often unknown or underestimated. This is because many resistant bacteria are components of indigenous bacterial flora and routine diagnostic and surveillance programs do not target these organisms. In the present study, we detected a strikingly high rate of antimicrobial resistance in quail microbiota. Nearly all E. coli, Enterobacter, and Neisseria isolates were resistant to following classes of antibiotics: phenicol, macrolide, lincosamide, quinolone, and sulphate. Either intermediate susceptibility or resistance to beta-lactams and aminoglycosides were also found in these Gram negative bacterial isolates. The Gram positive bacteria, E. faecalis and Staphylococcus isolates, were resistant to beta-lactam and sulphate antibiotics, in addition to aminoglycosides. All Ps. aeruginosa appeared to be more resistant than environmental isolates as previously reported . Wild bobwhites are not subjected to the selective pressure associated with the use of antibiotics. However, habitat pollution and the release of farm-reared bobwhites could introduce resistant organisms or resistance genes into wild quail populations. Currently, erythromycin, neomycin sulfate, penicillin G, chlortetracycline, lincomycin-spectinomycin are readily available to quail farms for prophylactic or therapeutic use. Although the exact source of antimicrobial resistance in wild quail populations remains to be investigated, human exposure to quail antimicrobial resistant microbiota should not be neglected.
In conclusion, the present study characterized the cultivable bacterial microbiota of northern bobwhite. We isolated multiple Paenibacillus spp. that are known to be inhibitors of pathogenic bacteria. We also obtained multiple isolates potentially representing new bacterial taxa whose complete characterization is currently underway. Overall, the prevalence of pathogenic bacteria in bobwhite populations is low. However, phenotypic characterization of selected bacterial species revealed a high prevalence of resistance to multiple classes of antimicrobial agents commonly used in avian medicine. The extent of antimicrobial resistance in quail microbiota warrants further investigation on the transmission of antibiotic resistance between wild and domestic quail populations and between bobwhites and humans.
Bacterial species isolated from Bobwhite quail. The 16S rRNA Gene Sequences (∼500 bp) were subjected to homology search against GenBank database by using the BLAST search algorithm as well as MicroSeq ID 2.0 500-bp library. Accession number of the best match and percent of similarity are provided. Tissue type: Ce, cecum, Cr, crop; Cl: cloaca; and Tr: trachea.
The authors wish to thank Dr. Min Cai for technical assistance. The authors thank Dr. Steve Presley, Anna Gibson, and Kristan Urban with the Central Receiving lab at Texas Tech University for their assistance with sample procurement.
Conceived and designed the experiments: SZ MZ. Performed the experiments: HS JM. Analyzed the data: HS DB SZ. Contributed reagents/materials/analysis tools: JD. Wrote the paper: HS DR DB SZ.
- 1. U.S. Department of the Interior, U.S. Fish and Wildlife Service, and U.S. Department of Commerce, U.S. Census Bureau (2013) 2011 National Survey of Fishing, Hunting, and Wildlife-Associated Recreation. U.S. Fish & Wildlife Service website. Available: http://www.census.gov/prod/2012pubs/fhw11-nat.pdf. Accessed 2014 May 28.
- 2. Texas Quail Study Group (2009) Quail restoration in the Post Oak Savanna, Blackland, and Coastal Prairies. Proceedings of the 2009 Texas Quail Study Group.
- 3. DeMaso SJ, Peterson MJ, Purvis JR, Silvy NJ, Cooke JL (2002) A comparison of two quail abundance indices and their relationship to quail harvest in Texas. National Quail Symposium 5: 206–212. Texas Parks and Wildlife Department, Corpus Christi, Texas. 23–27 January 2002.
- 4. Urban KN, Gibson AG, Dabbert CB, Presley SM (2013) Preliminary disease surveillance in west Texas quail (Galliformes: Odontophoridae) populations. J. Wildl. Dis. 49: 427–431.
- 5. Ferro PJ, Khan O, Vuong C, Reddy SM, LaCoste L, et al.. (2012) Avian influenza virus investigation in wild bobwhite quail from Texas. Avian Dis. (Suppl 4): S858–860.
- 6. Terhune TM, Sisson DC, Palmer WE, Faircloth BC, Stribling HL, et al. (2010) Translocation to a fragmented landscape: survival, movement, and site fidelity of Northern Bobwhites. Ecol. Appl. 20: 1040–1052.
- 7. Mackie RI, Sghir A, Gaskins HR (1999) Developmental microbial ecology of the neonatal gastrointestinal tract. Am. J. Clin. Nutr. (Suppl 5): S1035–1045.
- 8. Zoetendal EG, Collier CT, Koike S, Mackie RI, Gaskins HR (2004) Molecular ecological analysis of the gastrointestinal microbiota: a review. J. Nutr. 134: 465–472.
- 9. Musso G, Gambino R, Cassader M (2011) Interactions between gut microbiota and host metabolism predisposing to obesity and diabetes. Annu. Rev. Med. 62: 361–380.
- 10. Kamada N, Seo SU, Chen GY, Núñez G (2013) Role of the gut microbiota in immunity and inflammatory disease. Nat. Rev. Immunol. 13: 321–335.
- 11. Gollwitzer ES, Marsland BJ (2013) Microbiota abnormalities in inflammatory airway diseases - Potential for therapy. Pharmacol. Ther. pii: S0163-7258(13)00170-8.
- 12. Pragman AA, Kim HB, Reilly CS, Wendt C, Isaacson RE (2012) The lung microbiome in moderate and severe chronic obstructive pulmonary disease. PLoS One. 7: e47305.
- 13. Lan PT, Hayashi H, Sakamoto M, Benno Y (2002) Phylogenetic analysis of cecal microbiota in chicken by the use of 16S rDNA clone libraries. Microbiol. Immunol. 46: 371–382.
- 14. Collado MC, Sanz Y (2007) Characterization of the gastrointestinal mucosa-associated microbiota of pigs and chickens using culture-based and molecular methodologies. J. Food Prot. 70: 2799–2804.
- 15. van Dongen WF, White J, Brandl HB, Moodley Y, Merkling T, et al. (2013) Age-related differences in the cloacal microbiota of a wild bird species. BMC Ecol. 13: 11.
- 16. Hidasi HW, Hidasi Neto J, Moraes DM, Linhares GF, Jayme Vde S, et al. (2013) Enterobacterial detection and Escherichia coli antimicrobial resistance in parrots seized from the illegal wildlife trade. J Zoo Wildl Med. 44(1): 1–7.
- 17. Stedt J, Bonnedahl J, Hernandez J, McMahon BJ, Hasan B, et al.. (2014) Antibiotic resistance patterns in Escherichia coli from gulls in nine European countries. Infect Ecol Epidemiol.
- 18. Cole D, Drum DJ, Stalknecht DE, White DG, Lee MD, et al. (2005) Free-living Canada geese and antimicrobial resistance. Emerg. Infect. Dis. 11: 935–938.
- 19. Kozak GK, Boerlin P, Janecko N, Reid-Smith RJ, Jardine C (2009) Antimicrobial resistance in Escherichia coli isolates from swine and wild small mammals in the proximity of swine farms and in natural environments in Ontario, Canada. Appl. Environ. Microbiol. 75: 559–566.
- 20. Guenther S, Ewers C, Wieler LH (2011) Extended-spectrum beta-lactamases producing E. coli in wildlife, yet another form of environmental pollution? Front. Microbiol. 2: 246.
- 21. Helm JD, Hines RK, Hill JE, Caver JA (1999) Multiple drug-resistant Salmonella typhimurium DT104 and DT104b isolated in bobwhite quail (Colinus virginianus). Avian Dis. 43(4): 788–91.
- 22. Singh IM, Singh S, Mills-Robertson F, McMurphy MA, Applegate RD, et al. (2004) Antibiotic susceptibility of Edwardsiella hoshinae isolated from northern bobwhite quail (Colinus virginianus). Vet Rec. 2004 Jul 3 155(1): 29.
- 23. Nikkari S, Lopez L, Lepp PW, Cieslak PR, Ladd-Wilson S, et al. (2002) Broad-range bacterial detection and the analysis of unexplained death and critical illness. Emerg. Infect. Dis. 8: 188–194.
- 24. Janda JM, Abbott SL (2007) 16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls. J. Clin. Microbiol 45: 2761–2764.
- 25. Clinical and Laboratory Standards Institute (2007) M100-S17. Performance standards for antimicrobial susceptibility testing; 16th informational supplement. Clinical and Laboratory Standards Institute, Wayne, PA.
- 26. Xenoulis PG, Gray PL, Brightsmith D, Palculict B, Hoppes S, et al. (2010) Molecular characterization of the cloacal microbiota of wild and captive parrots. Vet. Microbiol. 146: 320–325.
- 27. Kohl KD (2012) Diversity and function of the avian gut microbiota. J Comp Physiol B. 2012 182(5): 591–602.
- 28. Waite DW, Deines P, Taylor MW (2012) Gut microbiome of the critically endangered New Zealand parrot, the kakapo (Strigops habroptilus). PLoS One. 7: e35803.
- 29. El-Hadad ME, Mustafa MI, Selim ShM, El-Tayeb TS, Mahgoob AEA, et al. (2011) The nematicidal effect of some bacterial biofertilizers on Meloidogyne incognita in sandy soil. Braz. J. Microbiol. 42: 105–113.
- 30. Wang LY, Li J, Li QX, Chen SF (2013) Paenibacillus beijingensis sp. nov., a nitrogen-fixing species isolated from wheat rhizosphere soil. Antonie. Van. Leeuwenhoek. 104: 675–683.
- 31. Stern NJ, Svetoch EA, Eruslanov BV, Kovalev YN, Volodina LI, et al. (2005) Paenibacillus polymyxa purified bacteriocin to control Campylobacter jejuni in chickens. J. Food Prot. 68: 1450–1453.
- 32. Girardin H, Albagnac C, Dargaignaratz C, Nguyen-The C, Carlin F (2002) Antimicrobial activity of foodborne Paenibacillus and Bacillus spp. against Clostridium botulinum. J. Food Prot. 65: 806–813.
- 33. Glünder G (2002) Influence of diet on the occurrence of some bacteria in the intestinal flora of wild and pet birds. Dtsch. Tierarztl. Wochenschr. 109: 266–270.
- 34. Díaz-Sánchez S, Moriones AM, Casas F, Höfle U (2012) Prevalence of Escherichia coli, Salmonella sp. and Campylobacter sp. in the intestinal flora of farm-reared, restocked and wild red-legged partridges (Alectoris rufa): is restocking using farm-reared birds a risk? Eur. J. Wildl. Res. 58: 99–105.
- 35. Williams HD, Davies JC (2012) Basic science for the chest physician: Pseudomonas aeruginosa and the cystic fibrosis airway. Thorax. 67: 465–467.
- 36. Markarian M (1975) Pseudomonas aeruginosa–the causative agent of infection in birds. Vet. Med. Nauki. 12: 33–39.
- 37. Lutz JK, Lee J (2011) Prevalence and antimicrobial-resistance of Pseudomonas aeruginosa in swimming pools and hot tubs. Int. J. Environ. Res. Public Health. 8: 554–564.