Composition of gut and oropharynx bacterial communities in Rattus norvegicus and Suncus murinus in China

Abstract

Background

Rattus norvegicus and Suncus murinus are important reservoirs of zoonotic bacterial diseases. An understanding of the composition of gut and oropharynx bacteria in these animals is important for monitoring and preventing such diseases. We therefore examined gut and oropharynx bacterial composition in these animals in China.

Results

Proteobacteria, Firmicutes and Bacteroidetes were the most abundant phyla in faecal and throat swab samples of both animals. However, the composition of the bacterial community differed significantly between sample types and animal species. Firmicutes exhibited the highest relative abundance in throat swab samples of R. norvegicus, followed by Proteobacteria and Bacteroidetes. In throat swab specimens of S. murinus, Proteobacteria was the predominant phylum, followed by Firmicutes and Bacteroidetes. Firmicutes showed the highest relative abundance in faecal specimens of R. norvegicus, followed by Bacteroidetes and Proteobacteria. Firmicutes and Proteobacteria had almost equal abundance in faecal specimens of S. murinus, with Bacteroidetes accounting for only 3.07%. The family Streptococcaceae was most common in throat swab samples of R. norvegicus, while Prevotellaceae was most common in its faecal samples. Pseudomonadaceae was the predominant family in throat swab samples of S. murinus, while Enterobacteriaceae was most common in faecal samples. We annotated 33.28% sequences from faecal samples of S. murinus as potential human pathogenic bacteria, approximately 3.06-fold those in R. norvegicus. Potential pathogenic bacteria annotated in throat swab samples of S. murinus were 1.35-fold those in R. norvegicus.

Conclusions

Bacterial composition of throat swabs and faecal samples from R. norvegicus differed from those of S. murinus. Both species carried various pathogenic bacteria, therefore both should be closely monitored in the future, especially for S. murinus.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12917-020-02619-6.

Background

Approximately 61% of human pathogens are of animal origin, with some commensal wild animals being important reservoirs for a wide range of zoonotic pathogens [1]. Rattus norvegicus (Norway rat) is one of the dominant commensal rodents in urban environments worldwide [2]. However, with rapid and continuous urbanization, Suncus murinus (Asian house shrew), once a non-commensal species, is becoming widespread and adapting to urban environments in Asia and eastern Africa [3]. Due to their many opportunities for close contact with humans, these two animals are considered to pose a risk to human health [2, 3].

A large number of bacterial species live in the oropharyngeal and gastrointestinal tracts of mammals, which evolve unique bacterial communities. Under certain conditions, some bacterial species carried by animals can be transmitted to humans and cause infections, such as through animal bites, faeces, airborne saliva droplets, or ectoparasitic arthropod vectors. For instance, Salmonella from rodents can cause food-borne diseases in humans through faecal contamination of water and foods [4]. Streptobacillus moniliformis and Spirillum minus infect humans through rodent bites or scratches, or mucocutaneous contact with animals’ saliva, urine, or faeces [5]. Bacillus anthracis can be transmitted from infected rodents to humans through cutaneous, gastrointestinal, or inhalation routes [6]. Over the past decade, methicillin-resistant Staphylococcus aureus (MRSA), an emerging drug-resistant bacterium, has been found in the oropharynx and rectum of R. norvegicus and the oropharynx of S. murinus [7, 8]. Therefore, an understanding of the composition of the bacterial communities in the gut and oropharynx of R. norvegicus and S. murinus is important for monitoring and preventing rodent-borne bacterial diseases.

Next-generation sequencing (NGS) is a highly efficient approach for the detection of microbiota. Over the last decade, NGS-based 16S rRNA gene amplicon sequencing has been used in a wide variety of fields, such as revealing the bacterial community composition of environments and animals and investigating the relationship between microbiota and diseases. Several studies have used the NGS-based 16S rRNA gene amplicon sequencing method to investigate the composition of bacterial communities in rats and S. murinus. A comparison of the gut bacterial communities between laboratory and wild S. murinus revealed a higher microbial diversity in the latter [9]. Other studies have revealed the bacterial communities of the gastrointestinal and respiratory tracts of laboratory rats [10]. However, to the best of our knowledge, there is no literature addressing the composition of the oropharynx bacterial communities of S. murinus or R. norvegicus. In addition, the composition of the bacterial community of the gastrointestinal tract in wild R. norvegicus remains unknown.

To elucidate gut and oropharynx bacterial composition in R. norvegicus and S. murinus, we surveyed throat swab and faecal samples of these animals using NGS-based 16S rRNA gene sequencing.

Results

Samples

We trapped 643 wild R. norvegicus and 313 wild S. murinus. Throat swab and faecal samples from 12 individuals of each species were randomly selected for NGS-based 16S rRNA gene sequencing. The results from the selected samples were divided into four groups based on animal species and type of samples (faecal samples from R. norvegicus; faecal samples from S. murinus; throat swab samples from R. norvegicus; throat swab samples from S. murinus; Table S1).

Data overview

An average of 87,022 raw reads, 81,990 clean tags and 78,666 effective tags was obtained for each sample (Table S1). The raw data have been submitted to the NCBI Sequence Read Archive (SRA) dataset (SRR11449241-SRR11449288). The mean length of each effective tag was 253 bp. After removing operational taxonomic units (OTUs) represented by fewer than 20 sequences, we identified 2959 OTUs with an average of 823 OTUs for each sample (Table S1). Rarefaction curves tended to be flat when the number of detected sequences reached about 50,000 (Figure S1). In addition, Good’s coverage indices were very high (99.1–99.7%), indicating that the depth of sequencing was sufficient to reflect the composition of the bacterial community of the samples.

Principal component analysis (PCA) and principal coordinates analysis (PCoA) demonstrated the distinctive composition of the bacterial community between the four groups (Fig. 1). ANOSIM analysis also confirmed that there was significant separation between the different groups (Table 1). There were significantly greater numbers of bacterial species in throat swab samples than faecal samples (Fig. 2). Bacterial richness and evenness were higher in throat swab samples of S. murinus than in those of R. norvegicus, while bacterial richness and evenness was greater in faecal samples of R. norvegicus than in those of S. murinus (Fig. 2).

Fig. 1.

Principal component analysis (PCA) and principal coordinates analysis (PCoA) plots (unweighted UniFrac distances) between different samples. Each sign represents an individual sample. The sample groups were clearly separated. These data indicated that the microbial communities were different in different animals and different sample types

Table 1.

ANOSIM analysis for different groups of samples

Group	F.R-T.R	F.S-T.R	F.S-F.R	T.S-T.R	T.S-F.R	T.S-F.S
R-value	0.9952	0.99	0.5736	0.8347	0.9862	0.9059
P-value	0.001	0.001	0.001	0.001	0.001	0.001

T.S Throat swab samples of Suncus murinus, T.R Throat swab samples of Rattus norvegicus, F.S Faecal samples of Suncus murinus, F.R Faecal samples of Rattus norvegicus

Fig. 2.

Chao 1, Shannon and Simpson indices of different groups of samples. The throat swab samples had a significantly greater number of microbial species than the faecal samples. The bacterial richness and evenness in throat swab samples of S. murinus was higher than that of R. norvegicus, while the bacterial richness and evenness in faecal samples of R. norvegicus was higher than that of S. murinus

Bacterial community composition in throat swab samples

Sequences from R. norvegicus revealed 41 phyla, 105 classes, 179 orders, 348 families and 765 genera of archaea and bacteria, while those from S. murinus represented 53 phyla, 121 classes, 194 orders, 367 families and 891 genera. The 10 most abundant phyla, families and genera in throat swab samples of these two animals are shown in Figs. 3, 4 and 5.

Fig. 3.

Bacterial community composition in throat swab samples at the phylum level. A total of 41 and 53 phyla were found in the throat swab samples of R. norvegicus and S. murinus, respectively. The top ten phyla are shown

Fig. 4.

Bacterial community composition in throat swab samples at the family level. A total of 348 and 367 families were found in the throat swab samples of R. norvegicus and S. murinus, respectively. The top ten families are shown

Fig. 5.

Bacterial community composition in throat swab samples at the genus level. A total of 765 and 891 genera were found in the throat swab samples of R. norvegicus and S. murinus, respectively. The top ten genera are shown

The three most abundant phyla in R. norvegicus were Firmicutes (64.64% relative abundance) followed by Proteobacteria (14.13%) and Bacteroidetes (10.91%). These three phyla accounted for over 89% of the total sequences (Fig. 3). Streptococcaceae and Streptococcus were the predominant family and genus within the Firmicutes, respectively (Figs. 4 and 5). Neisseriaceae and Thalassolituus were the most common family and genus within the Proteobacteria, respectively. Bacteroidales S24–7 group and Bacteroides were the most common family and genus within the Bacteroidetes, respectively.

Different from R. norvegicus, the most common phylum in S. murinus was Proteobacteria, which accounted for 35.99% of the total sequences, followed by Firmicutes (33.08%) and Bacteroidetes (14.37%; Fig. 3). Pseudomonadaceae and Pseudomonas were the most common family and genus within the Proteobacteria, respectively (Figs. 4 and 5). Enterococcaceae and Enterococcus were the most common family and genus within the Firmicutes (Figs. 4 and 5). Similar to R. norvegicus, Bacteroidales S24–7 group was also the most common family within the Bacteroidetes in S. murinus (Fig. 4). However, Prevotella 7 was the most common genus within the Bacteroidetes (Fig. 5). Actinobacteria also had a high relative abundance in the throat swabs of R. norvegicus and S. murinus, ranking fourth among phyla and accounting for 7.45 and 10.07% of all sequences, respectively.

Bacterial community composition in faecal samples

Sequences from R. norvegicus annotated 25 phyla, 56 classes, 85 orders, 156 families and 342 genera of archaea and bacteria, while those from S. murinus represented 31 phyla, 63 classes, 98 orders, 198 families and 413 genera. The 10 most abundant phyla, families and genera in faecal samples are shown in Figs. 6, 7 and 8.

Fig. 6.

Bacterial community composition in faecal samples at the phylum level. A total of 25 and 31 phyla were found in the faecal samples of R. norvegicus and S. murinus, respectively. The top ten phyla are shown

Fig. 7.

Bacterial community composition in faecal samples at the family level. A total of 156 and 198 families were found in the faecal samples of R. norvegicus and S. murinus, respectively. The top ten families are shown

Fig. 8.

Bacterial community composition in faecal samples at the genus level. A total of 342 and 413 genera were found in the faecal samples of R. norvegicus and S. murinus, respectively. The top ten genera are shown

Firmicutes, Bacteroidetes and Proteobacteria were also the three most abundant phyla in faecal samples of R. norvegicus and S. murinus, whereas Firmicutes was the most common phylum in faecal samples of both animals, accounting for 57.47 and 48.04% of sequences, respectively. Bacteroidetes was the second most common phylum in R. norvegicus, while Proteobacteria was the second most common phylum in S. murinus (Fig. 6).

For R. norvegicus, Lactobacillaceae and Lactobacillus were the most common family and genus within the Firmicutes (Figs. 7 and 8). However, for S. murinus, Clostridiaceae 1 and Clostridium sensu stricto 1 were the most common family and genus within the Firmicutes (Figs. 7 and 8). Prevotellaceae and Prevotella 9 were the dominant family and genus within the Bacteroidetes in both animals (Figs. 7 and 8). Enterobacteriaceae was the most common family within the Proteobacteria in both animals, and Escherichia-Shigella was the most common genera within the Enterobacteriaceae (Figs. 7 and 8).

Comparison of differentially enriched taxa between different groups

Figure 9 shows the taxa that were relatively enriched in one group of samples by comparing the four different groups. The families Streptococcaceae (51.94%) within the Firmicutes and Micrococcaceae (4.35%) within the Actinobacteria had a higher relative abundance in throat swab samples of R. norvegicus than that in other groups. The families Pseudomonadaceae (8.99%) and Comamonadaceae (3.21%) within the Proteobacteria, Corynebacteriaceae (2.27%) within the Actinobacteria and the Bacteroidales S24–7 group (5.47%) within the Bacteroidetes were significantly enriched in throat swab samples of S. murinus.

Fig. 9.

Cladogram plotted from LEfSe analysis showing the taxonomic levels represented by rings with phyla in the outermost ring and genera in the innermost ring. Each circle is a member within that level. Those taxa in each level are coloured by groups for which it is more abundant (P < .05)

The families Prevotellaceae (14.40%) and Bacteroidaceae (6.43%) within the Bacteroidetes were enriched in faecal samples of R. norvegicus compared to the other three groups. Some families within the Firmicutes were also enriched in faecal samples of R. norvegicus, including Lactobacillaceae (13.72%), Ruminococcaceae (12.95%), Lachnospiraceae (9.54%), Veillonellaceae (6.50%), Erysipelotrichaceae (3.75%) and Acidaminococcaceae (2.24%). The families Fusobacteriaceae (6.44%) within the Fusobacteria and Desulfovibrionaceae (2.28%) within the Proteobacteria were also enriched in faecal samples of R. norvegicus compared to the other groups.

Enterobacteriaceae (39.04%), Clostridiaceae 1 (16.31%), Enterococcaceae (9.91%) and Listeriaceae (1.47%) were the four families most differentially enriched in faecal samples of S. murinus compared to the other groups. Enterobacteriaceae falls within the phylum Proteobacteria, while the other three families belong to the phylum Firmicutes.

Potential human pathogenic bacteria

Sequences from the four groups of samples were annotated in 21 families of potential human pathogenic bacteria. The top five potential pathogenic families for each group are shown in Table 2. We identified 27 genera of potential human pathogenic bacteria in throat swab samples of the two animals. Faecal samples from the two animals contained sequences annotating 29 genera of potential human pathogenic bacteria.

Table 2.

Top five potential human pathogenic bacterial families in different groups of samples

	Throat swab samples of S. murinus	Throat swab samples of R. norvegicus	Faecal samples of S. murinus	Faecal samples of R. norvegicus
1	Pseudomonadaceae	Streptococcaceae	Enterobacteriaceae	Bacteroidaceae
2	Streptococcaceae	Micrococcaceae	Streptococcaceae	Enterobacteriaceae
3	Corynebacteriaceae	Neisseriaceae	Pseudomonadaceae	Streptococcaceae
4	Micrococcaceae	Bacteroidaceae	Listeriaceae	Pseudomonadaceae
5	Pasteurellaceae	Pseudomonadaceae	Mycoplasmataceae	Spirochaetaceae

A total of 23 species were annotated as potential human pathogenic bacteria in throat swab samples of R. norvegicus, while 25 species were found in throat swab samples of S. murinus. For faecal samples, we detected 21 and 20 species of potential human pathogenic bacteria in R. norvegicus and S. murinus, respectively. We found higher relative abundance of potential human pathogenic bacteria in faecal and throat swab samples from S. murinus than that in those from R. norvegicus. About 33.28% of sequences from faecal samples of S. murinus were annotated as potential human pathogenic bacteria, which was approximately 3.06-fold that in R. norvegicus. The relative abundance of potential pathogenic bacteria in throat swab samples from S. murinus was 1.35-fold that in R. norvegicus (Fig. 10).

Fig. 10.

Relative abundance of potential human pathogenic bacteria in each group of samples

Enterococcus durans, Escherichia albertii, Clostridium perfringens, Citrobacter freundii, Lactococcus garvieae, Delftia tsuruhatensis, Clostridium baratii, Pseudomonas aeruginosa, Sphingobacterium multivorum and Comamonas testosteron were found in all four groups. However, we detected a higher relative abundance of these pathogens in S. murinus than in R. norvegicus. For instance, E. albertii and C. perfringens had a relative abundance of over 10% in faecal samples of S. murinus. The highest relative abundances of Helicobacter mastomyrinus, Fusobacterium russii, Desulfovibrio desulfuricans, Prevotella denticola, Rothia dentocariosa and Prevotella melaninogenica were in throat swab samples from S. murinus. Some opportunistic pathogens, such as Prevotella loescheii and Mycoplasma pneumoniae, were only found in throat swab samples from S. murinus.

Streptococcus minor, Staphylococcus aureus, Corynebacterium riegelii, Enterococcus cecorum, Corynebacterium riegelii and Kocuria kristinae were most common in throat swab samples from R. norvegicus among the four groups. To the best of our knowledge, and with the exception of S. aureus, these bacteria have not been reported previously in wild rats. The highest relative abundance of Fusobacterium mortiferum was found in faecal samples. We did not identify Bartonella, Leptospira, Streptobacillus moniliformis, Spirillum minus, or Yersinia pestis in faecal or throat swab samples.

Discussion

To the best of our knowledge, this is the first study to reveal and compare the composition of bacterial communities in the oropharyngeal and gastrointestinal tracts of R. norvegicus and S. murinus. More bacterial species were identified in throat swab and faecal samples of S. murinus than in those of R. norvegicus. The bacterial communities of these two animals were significantly different, even though they were captured from the same habitats (Fig. 1). A previous study reports that animals of the same species from different habitats harbour similar bacteria [11]. These results indicate that the microbiota have host tropism. Variation was found in the α and β diversity analyses within the sample groups, this might be explained by the different sampling time, body size and sex of the selected animals (Figs. 1 and 2). The difference between the groups was greater than the difference within groups (Table 1).

In human oropharyngeal samples, Firmicutes is the most common phylum, with Streptococcaceae within the Firmicutes being the most common family [12]. We found that Firmicutes and Streptococcaceae were also the most common phylum and family, respectively, in oropharyngeal samples from R. norvegicus. However, Proteobacteria was the predominant phylum in oropharyngeal samples of S. murinus, with Pseudomonadaceae the most common family (Figs. 3 and 4). This suggests a greater similarity in oropharynx bacterial composition between R. norvegicus and humans than between S. murinus and humans.

The three most abundant phyla (Firmicutes, Bacteroidetes and Proteobacteria) and predominant genus (Lactobacillus) in faecal samples of R. norvegicus in our study were in line with previous results from Sprague–Dawley rats (laboratory rats of the species R. norvegicus domestica) (Fig. 6) [13]. This suggests that the bacterial composition of wild and laboratory R. norvegicus share a degree of similarity. This phenomenon can also be explained by the host tropism of microbiota.

Firmicutes and Proteobacteria were the dominant phyla in faecal samples of S. murinus, accounting for over 90% of the sequences (Fig. 6). This was consistent with the results of a previous study [9]. We only detected a low relative abundance (3.07%) of Bacteroidetes in faecal samples from S. murinus. A previous study detected no Bacteroidetes in wild S. murinus [9]. Bacteroidetes are common in the mammalian gut, but very few Bacteroidetes are found in insectivorous mammals such as hedgehogs [9, 14]. The low relative abundance of Bacteroidetes in faecal samples of S. murinus may be due to its insectivorous diet.

A previous study identified Firmicutes and Bacteroidetes as predominant phyla in human faecal samples [15]. In addition, Lactobacillus constitutes a significant component of the human gut microbiome [16]. We observed a greater similarity between the composition of gut bacteria in humans and R. norvegicus than between those of humans and S. murinus. This was consistent with the results of throat swab samples and suggests that R. norvegicus might be a suitable experimental model for studies related to human oropharyngeal and intestinal function, metabolism and diseases.

S. murinus naturally lives in forests and mainly feeds on invertebrates [11]. However, increasingly dense human populations are causing an inevitable reduction and fragmentation of animal habitats, and S. murinus is becoming a commensal animal [11]. This provides more opportunities for human–animal contact, and therefore higher rates of bacterial transmission are likely [11]. R. norvegicus is considered to be the most commensal synanthropic rodent. This might explain the greater similarity in faecal and throat swab bacterial composition between humans and R. norvegicus than between humans and S. murinus.

We identified a higher relative abundance of potential pathogens in S. murinus than in R. norvegicus, in both throat swab and faecal samples (Fig. 10). Escherichia albertii is a zoonotic enteropathogen associated with infections among humans and birds [17]. It was detected with high relative abundance (10.22%) in faecal samples of S. murinus. Clostridium perfringens, a cause of food poisoning, has also been found with high relative abundance (12.96%) in faecal samples from S. murinus. Lactococcus garvieae is a known fish pathogen [18]; Comamonas testosteroni is an unusual bacteria associated with acute appendicitis [19]; and Pseudomonas aeruginosa can cause infections in blood and lungs [20]. These bacteria can be transmitted by contaminated food and water, and they had a greater relative abundance in faecal samples of S. murinus than in those of R. norvegicus. These observations indicate that S. murinus may pose a high potential risk for spreading emerging infectious diseases via water or food contaminated with faeces.

Fusobacterium russii, Prevotella denticola and Prevotella melaninogenica were more common in throat swab samples of S. murinus than in those of R. norvegicus. These bacteria are associated with bite-wound infections by animals such as cats and dogs [21]. Since S. murinus now has more opportunities for human–animal contact, higher rates of pathogen transmission are likely [11]. Increasing attention should therefore be paid to S. murinus.

In our study, faecal samples from R. norvegicus also contained a variety of bacterial pathogens. Fusobacterium mortiferum, an opportunistic pathogen associated with anaerobic sepsis [22], was common in faecal samples from R. norvegicus (5.88%). Streptococcus minor and S. aureus were detected in throat swab samples of R. norvegicus with a relative abundance over 1%. S. minor causes human wound infections and can be transmitted by dog bites [23], whereas S. aureus is a common cause of respiratory infections and food poisoning [24]. Previous research in our laboratory detected MRSA isolates in R. norvegicus and S. murinus collected in Guangzhou, with a higher detection rate in the former [25]. Similar to S. murinus, pathogens detected in throat swab and faecal samples of R. norvegicus can cause human diseases by various routes, including bites, saliva and contaminated water and food.

Some severe infectious diseases, such as bartonellosis, leptospirosis, rat-bite fever and plague, are transmitted by rodents. High prevalence of Bartonella has been found in blood samples of S. murinus and R. norvegicus [26]. However, in our study, none of the faecal or throat swab samples was positive for Bartonella. This indicates that Bartonella might not be shed in faeces or saliva. Leptospirosis, an important zoonotic infectious disease, used to be prevalent in China, but incidence has gradually decreased in recent years [27]. Leptospira has been found in renal samples of R. norvegicus in China [28], however, it was not detected in the samples from our study; this could possibly be explained by the sample type. Host animals, such as rats, carry Leptospira in their kidneys and shed pathogenic leptospires in their urine [29]. Streptobacillus moniliformis and Spirillum minus, pathogens of rat-bite fever, naturally colonize the respiratory tracts of rodents [5]. A case of rat-bite fever with S. moniliformis was reported in China in 2019, and the patient recalled being bitten by wild rats 1 week prior to the onset of symptoms [30]. In our study, S. moniliformis and S. minus were not detected in S. murinus or R. norvegicus. We consider that in Guangdong, China, the transmission of rat-bite fever by S. murinus and R. norvegicus is unlikely. Yersinia pestis (which causes plague disease) is usually found in wild rodents and Asian house shrews and can be transmitted by the bite of infected fleas [3]. In China, the re-emergence of human plague has been reported [31]. After infection, Y. pestis spreads to the bloodstream and disseminates to the spleen, liver and other organs [32]. As with Bartonella and Leptospira, the absence of Y. pestis in our study might also be explained by the sample types.

Both R. norvegicus and S. murinus live and feed in closer proximity to human populations than most other mammals and may serve as potential sources of infectious diseases for humans via cross-species transmission. However, less attention has been paid to S. murinus than to R. norvegicus. In our study, more sequences from S. murinus were annotated as potential pathogens than those from R. norvegicus. S. murinus might therefore be a more important reservoir of bacterial pathogens than R. norvegicus, suggesting that more attention should be paid to S. murinus in the prevention of zoonotic diseases in the future.

This study had three main limitations. Firstly, we did not identify the age and sex of the animals. These factors, especially age, might affect the structure of microbial communities within animals. Secondly, the sample size was small. Thirdly, we did not investigate the influence of season. Our findings should be confirmed by more rigorous studies with a larger sample size.

Conclusion

The results of this study revealed the composition of bacterial communities of the oropharyngeal and gastrointestinal tracts of R. norvegicus and S. murinus. In general, the bacterial composition of throat swab and faecal samples from R. norvegicus were different from those of S. murinus. Both R. norvegicus and S. murinus carried various pathogenic bacteria; however, more sequences from S. murinus were annotated as potential human pathogenic bacteria than those from R. norvegicus. These results suggest that surveillance of R. norvegicus should be continued to prevent outbreaks of zoonotic diseases, and greater attention should be given to S. murinus in this regard in the future.

Methods

Sample collection

Between May 2015 and April 2016, animals for study were trapped using cages once a month in a residential area of Guangzhou City, China. Trap cages were placed next to human settlements and garbage cans. The trapped animals were anesthetized by the inhalation of 3% diethyl ether. Trained personnel wore filtering facepiece respirators, safety chemical goggles, anti-static uniforms and chemical protective gloves to protect themselves from the diethyl ether. The dosage of diethyl ether was adjusted according to the heart rate, respiratory frequency, corneal reflection and extremity muscle tension of the animal. Throat swab and faecal samples were then collected. Animals were executed via cervical dislocation by trained personnel. Liver tissue samples were collected by intraperitoneal surgery in the laboratory and stored in RNAlater (Invitrogen, CA, USA). Animal species were identified by sequencing the cytochrome B (cytB) gene of liver tissue and morphological identification [33]. Of the animals trapped each month, one individual of each species was randomly selected. Throat swabs and faeces from the selected animals were collected and stored at − 80 °C.

DNA extraction and amplicon generation

DNA was extracted from throat swab and faecal samples using the QIAamp DNA Microbiome Kit (Qiagen, Germany) and QIAamp DNA Stool Mini Kit (Qiagen), respectively. The V4 hypervariable region of the 16S rRNA gene was amplified with barcoded primers developed in a previous study (515F and 806R) using Phusionign-kh-Fidelity PCR Master Mix (New England Biolabs, UK) [34]. Libraries were generated and sequenced on the Illumina HiSeq 2500 platform.

Data analyses

Reads were assigned to samples based on their barcode. Raw tags were obtained by overlapping the reads [35]. High-quality clean tags were obtained according to the QIIME (V1.7.0) quality control process [35]. Effective tags were obtained after comparison with the reference database (Gold Database, http://drive5.com/uchime/uchime_download.html) [36].

Sequences with a similarity greater than 97% were assigned to the same OTU. A representative sequence for each OTU was selected for further analyses. Each representative sequence was annotated with taxonomic information using the GreenGene Database (http://greengenes.lbl.gov/cgi-bin/nph-index.cgi) based on the Ribosomal Database Project (RDP) classifier (version 2.2) algorithm [37].

Ethics statement

The study protocol was approved by the Animal Ethics and Welfare Committee of the School of Public Health, Southern Medical University and adhered to the guidelines for the Rules for the Implementation of Laboratory Animal Medicine (1998) from the Ministry of Health, China. All surgical procedures were performed under anesthesia in efforts to minimize suffering. Endangered or protected species were not involved in this study.

Abbreviations

C. perfringens

Clostridium perfringens

E. albertii

Escherichia albertii

MRSA

Methicillin-resistant Staphylococcus aureus

NGS

Next-generation sequencing

NCBI

National Center for Biotechnology Information

OTUs

Operational taxonomic units

PCA

Principal component analysis

PCoA

Principal coordinates analysis

RDP

Ribosomal Database Project

R. norvegicus

Rattus norvegicus

S. aureus

Staphylococcus aureus

S. murinus

Suncus murinus

S. minor

Streptococcus minor

S. moniliformis

Streptobacillus moniliformis

S. minus

Spirillum minus

SRA

Sequence Read Archive

Y. pestis

Yersinia pestis

Authors’ contributions

WH, YX and QC conceived the project and QC obtained the funding. WH and QC wrote the paper. WH and YX performed the experiments and data analysis. WH, YX, JG, YC, XC, XZ, ZO, YG, HH, YL, FY, MZ, MC, YW, QM, SH, SC, XZ and YM performed sample collection. All authors read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (grant no. 81373051). The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

The site where the animals were collected belongs to the community of Southern Medical University, Guangzhou, China. The study protocol was approved by the Animal Ethics and Welfare Committee of the School of Public Health, Southern Medical University and adhered to the guidelines for the Rules for the Implementation of Laboratory Animal Medicine (1998) from the Ministry of Health, China. All surgical procedures were performed under anesthesia in efforts to minimize suffering. Endangered or protected species were not involved in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.