Background

Animals have complex and dynamic microbial communities in their intestines that are mainly composed of bacteria, and the compositions of the various symbiotic and pathogenic bacteria are crucial for the survival and maintenance of the health of their host (Xu et al. 2013; Wei et al. 2013; Delgado et al. 2017). These compositions can affect the host’s functional metabolism, immune homeostasis, and even cause their risk of disease (Elmberg et al. 2017; Flandroy et al. 2018; Huang et al. 2020a; Sarkar et al. 2020). Previous studies have shown that the composition and structure of intestinal flora in animals show a flexible and stable colonization state at birth (Benskin et al. 2009; Mane et al. 2010; Grond et al. 2014; Seedorf et al. 2014). However, when exposed to complex environments and in indirect contact with other species, it may cause cross-transfer of the intestinal flora (Muegge et al. 2011; Delsuc et al. 2014; van Veelen et al 2017; Huang et al. 2020b). Many studies have been conducted on the factors that affect the structure of animal intestinal bacterial communities (e.g. diet, environmental heterogeneity) (Muegge et al. 2011; Delsuc et al. 2014; Perofsky et al. 2019); however, there have been few studies focusing on the effects of cross-species transmission of the intestinal bacterial communities in animals (Fu et al. 2020). In general, physical distance creates barriers for microbial transmission, but interspecific contact creates opportunities for cross-species communication and transmission (Moeller et al. 2017). Therefore, the cross-species transmission may have an even greater impact on the intestinal flora among host animals (Lewis et al. 2016). Some studies have indicated that wild birds are in close contact when their spatial and geographical niches overlap. Then due to cross transmission more similarities are found in intestinal microflora among sympatric birds (Ryu et al. 2014; Perofsky et al. 2019; Yang and Zhou 2021). The cross transmission of intestinal microbes might be through fecal–oral transmission (Moeller et al. 2017), mixed species foraging and by ingestion of microbes into the environment (Holman et al. 2019; Cairns et al. 2020; Liddicoat et al. 2020). Therefore, to elucidate the effect of trans-species-flock dispersal of intestinal microflora, it is important to measure the distance and degree of interspecific contact among sympatric bird species (Bunnik et al. 2014). At present, there is no consensus on whether there is a significant correlation between interspecific contact distance and changes in intestinal bacterial community composition.

Wild animals, especially migratory birds, have a high degree of mobility and dynamic intestinal microbial compositions, but the long-distance migration and high environmental selection pressure may cause the homeostasis to be broken, the immune function to be disturbed, and make birds susceptible to cross-infection by the foreign microbes (Altizer et al. 2011; Deppe et al. 2015; Leung and Koprivnikar 2016; Zou et al. 2017).

After wild waterbirds arrive at the foraging sites, they will inevitably meet the sympatric resident species (e.g. poultry, livestock) foraging at different distances (Xiang et al. 2019; Fu et al. 2020). Wild waterbirds have an indirect contact with poultry when they arrive at the shared foraging sites which might be responsible for fecal–oral transmission of microbes (Hubálek 2004) and cross-transmission of microbes through feathers contamination (Zamani et al. 2017; Huang et al. 2020a). And then the probability of cross-specie transmission of intestinal bacteria between wild waterbirds and poultry may increase (Xiang et al. 2019). In addition, as the wintering period progresses, the niche overlap of wild waterbirds and domestic fowls could be more obvious (Fu et al. 2020). The probability of cross-transmission of potential pathogens will be higher between species present at shorter distances. It is worth noting that poultry may have more potential pathogens than wild waterbirds (Liu et al. 2013) and may transmit the pathogens through indirect contact to wild waterbirds present over short distances, posing serious disease threats to populations of wild waterbirds. These addressed issues could help to shed light on the transmission mechanism of intestinal bacteria between wild waterbirds and poultry, and open interesting direction for future research.

The Hooded Crane (Grus monacha) is a large migratory waterbird categorized as a vulnerable (VU) species on the red list of the International Union for Conservation of Nature (IUCN) (IUCN 2020), and national first-class key protected animal in China. It mainly breeds in eastern Siberia in Russia, and one of the populations winters in the middle and lower Yangtze River floodplain in China (Zheng et al. 2015; Xiang et al. 2019; Zhang et al. 2020). During winter season, the Hooded Cranes feed in variable groups based on their families in mudflats, grasslands, and rice fields, where their main foraging habitats are relatively fixed (Wei et al. 2020).

The Domestic Duck (Anas platyrhynchos domesticus) is one of the most common poultries in China. In the middle and lower Yangtze River floodplain, large populations of them occur free-range in paddy fields and mudflats (Zhang et al. 2007). Shengjin Lake is a typical river-connected lake in the middle of the Yangtze River floodplain in China and a Ramsar site (Zhang et al. 2018), which provides an important wintering ground for the waterbirds on the East Asian-Australasian flyway (Wang et al. 2016, 2017). It is also the largest wintering site for Hooded Cranes on the mainland. Previous studies have verified that Domestic Ducks forage at different distances around the Hooded Crane habitats (Xiang et al. 2019; Fu et al. 2020). The reduction in food resources of wild birds at the lake is gradually causing niche overlap between the Hooded Cranes and Domestic Ducks, which is responsible for the increase in contact between the two sympatric species (Xiang et al. 2019; Fu et al. 2020). It provides an opportunity to compare the intestinal bacteria and potentially pathogenic bacterial communities of the two hosts in different foraging locations. This study could assist in improving strategies to manage the wild waterbirds and poultry in the nature reserve, and in assessing the risk of outbreaks of pathogenic bacteria disease in poultry at important wintering sites.

In this study, we evaluated the gut microbial communities of Hooded Cranes and sympatric Domestic Ducks, and tested that: (1) inter-specific transmission resulting from inter-specific contact distance is one of the main driving factors for the change of intestinal bacterial community composition; (2) there are structural similarities between the intestinal flora of wild birds and domestic poultry present at closer distance; and (3) the common pathogens of cranes and poultry change with the contact distance.

Methods

Ethics statement

This investigation involved non-invasive fecal sample collection and consequently did not involve the hunting of any experimental animals (Knutie and Gotanda 2018). Fecal samples of the Hooded Cranes and Domestic Ducks were collected after their foraging activities, to avoid excessive human disturbance. Administrative permission was obtained from the management office of Anhui Shengjin Lake National Nature Reserve.

Site selection and sample collection

The study site was at Anhui Shengjin Lake National Nature Reserve (116°55′–117°15′ E, 30°15′–30°30′ N), which is a river-collected lake in the middle and lower Yangtze River floodplain in China (Cao and Fox 2009; Zhou et al. 2020). The average annual temperature of the lake is 14–19 °C, and the annual precipitation is 1000–1450 mm. The lake is in a dry season from November to May of each year, exposing a large expanse of grass and mudflat, and provides plentiful food resources for the migratory waterbirds (Zheng et al. 2015).

In recent decades, exploiting aquaculture has resulted in degradation of submerged vegetation in tidal flat and loss of suitable foraging habitats for waterbirds. Consequently, the waterbirds that depend on submerged plants for food, such as the cranes, will gradually shift their foraging sites to paddy habitats (Zhao et al. 2013; Wang et al. 2016; Nilsson et al. 2018; Zhang et al. 2018). In the middle wintering period (December to February), Hooded Cranes shift their foraging habitat from the mud land and grasslands to the rice paddy fields, resulting in high foraging niche overlap with domestic fowls (Dong et al. 2019).

We chose the middle wintering period to collect the samples. The fecal samples were collected from the Hooded Cranes, and groups of Domestic Ducks at two distances from the cranes in the paddy fields at Shengjin Lake on January 10–15, 2019 (Fig. 1). Before collecting fecal samples, we used a monocular and binoculars to focus on the foraging groups of the Hooded Cranes and Domestic Ducks. The population of Hooded Cranes was about 100 individuals, and the duck population was over 250. The birds chosen for sampling foraged for more than one hour without being disturbed and intermingling with other bird species. The samples were collected at more than 5 m intervals to avoid sample repetition (Xiang et al. 2019). The fresh fecal samples were collected using sterile polyethylene (PE) gloves, discarding the contaminated peripheral parts, and each sample was kept in bioclean zipper bags (Liu et al. 2020). All fecal samples were immediately placed on dry ice in a pre-sterilized cooler after collection. Samples were taken to the laboratory as soon as possible and stored at ‒ 80 °C. A total of 60 samples were collected, including 20 fecal samples from the foraging flock of Hooded Cranes (HC), 20 samples from the foraging flock of Domestic Ducks within 1 km (ducks in near areas, D-N), and 20 samples more than 4 km (ducks in far area, D-F) away from the foraging Hooded Cranes.

Fig. 1
figure 1

Fecal sampling sites for the Hooded Cranes and Domestic Ducks at Shengjin Lake

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Sample pretreatment

Fecal DNA extraction, bird species determination, polymerase chain reaction (PCR), and amplicon library preparation are described in the Additional file 1: Supplementary information.

Processing of sequence data

The original sequencing data obtained by pretreatment with QIIME (V.1.9) were mainly used to eliminate the inferior sequences (Caporaso et al. 2012) with a sequence length ≤ 250 bp or an average quality score of 30. High quality sequences were grouped into operational taxonomic units (OTUs) with a similarity of 97% using UCLUST (Edgar 2010). The chimerism and singleton OTUs were then removed to ensure that the most abundant sequence in each OTU was selected as a representative sequence and was identified by the ribosome database item classifier (Wang et al. 2007). The representative sequences were then aligned using PyNAST (Caporaso et al. 2012). We selected 12,500 sequence subsets (minimum sequence read depth; repeat 20 times) randomly to equally rarefy samples for comparison of the bacterial community compositions. All identified bacterial species were searched on the Web of Science to identify them as pathogens or potential pathogens. Bacteria that were confirmed to be pathogenic to humans, animals, or plants, were classified as OTUs for special analysis.

Potentially pathogenic species determination

The name of the bacteria was entered as a keyword into the Web of Science to investigate if the species of bacteria had been documented to be pathogenic to humans or animals. A total of 29 potentially pathogenic bacteria and their pathogenicity were identified in this study (Additional file 2: Table S1).

Statistical analysis

We used R software (Version 2.0–2) to analyze most of the statistical data. Linear discriminant analysis (LDA) and linear discriminant analysis effect size (LEfSe) were used to evaluate the bacterial flora responsible for the differences between the species. The non-parametric Kruskal–Wallis rank sum with default settings was used to determine and assess the biomarkers (Segata et al. 2011). Non-metric multidimensional scaling (NMDS) and ANOSIM (analysis of similarity; permutations = 999) were implemented (Anderson and Walsh 2013). To test the alpha diversity and relative abundance of the bacteria and potential pathogens, a one-way analysis of variance (ANOVA: P < 0.05) was used. Using indicator bacteria analysis, the indicator bacteria that caused the differences between the species were analyzed. The Mann–Whitney-Wilcoxon test was used to analyze the relative abundance of potentially pathogenic species with non-normal distributions.

Results

Intestinal bacterial alpha diversity

A total of 1,576,131 high-quality bacterial sequences were obtained for analysis in this study, with 15,299 to 40,556 sequences obtained from each sample (Additional file 2: Table S2). A total of 4752 bacterial OTUs were identified, ranging from 77 to 1123 in all samples (97% similarity), among them, there were 1180 (24.8%) shared OTUs between HC and D-N, and 1120 (23.5%) shared OTUs between HC and D-F. However, the proportion shared by D-N and D-F was the highest at 1790 (37.7%) (Fig. 2).

Fig. 2
figure 2

Venn diagram showing the unique and shared intestinal bacterial operational taxonomic units (OTUs) among HC, D-N and D-F samples. HC Hooded Cranes, D-N Domestic Ducks in near areas, D-F Domestic Ducks in far areas. The explanation to the abbreviations apply also to Figs. 3–6

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The Shannon index (ANOVA: P = 0.637), Pielou index (ANOVA: P = 0.137), OTU richness, and phylogenetic diversity were used to comprehensively evaluate the alpha diversity of the intestinal bacteria. The one-way ANOVA showed that the alpha diversity of the intestinal microflora in D-N was higher than that of HC and D-F, as indicated by OTU richness (ANOVA: P = 0.004), and phylogenetic diversity (ANOVA: P = 0.018) (Fig. 3).

Fig. 3
figure 3

Gut bacterial alpha diversity (a OTU richness; b Phylogentic diversity) of HC, D-N and D-F. Different letters in the graphs represent significant differences from one-way ANOVA by Tukey’s HSD comparisons (P < 0.05) and Kruskal-Wallis (P < 0.05); Bar represent means; error bars denote standard deviations. The one with the highest alpha diversity is marked as “a”. The alpha diversity is compared with other values, and the difference is significant, marked as “b”

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Intestinal bacterial community structure

The dominant intestinal phyla of HC, D-N, and D-F were Firmicutes (51.56%), Proteobacteria (26.41%), Actinobacteria (8.69%), Cyanobacteria (8.41%), and Bacteroidetes (2.07%) (Additional file 3: Fig. S1a). Within the Firmicutes, the dominant bacterial classes were Bacilli (44.53%) and Clostridia (5.81%), while within the Proteobacteria the dominant classes were Alphaproteobacteria (14.13%) and Gammaproteobacteria (9.56%) (Additional file 3: Fig. S1b). However, the distribution of the dominant phylum and bacterial classes was uneven between the Hooded Cranes and the Domestic Ducks in the different areas (Additional file 3: Fig. S1c, d).

For HC, compared with D-N and D-F, Cyanobacteria (19.41%) was the dominant phylum, and Chloroplast (19.18%) was the dominant bacterial class. For D-N, the dominant bacterial phyla were Proteobacteria (30.74%) and Actinobacteria (10.91%), and the dominant bacteria classes were Alphaproteobacteria (24.59%) and Actinobacteria (9.62%). The Proteobacteria (31.38%) was also dominant for D-F, whose dominant bacterial class was Gammaproteobacteria (21.02%) (Additional file 3: Fig. S1c, d).

The relative abundance of the Proteobacteria was highest in D-F and lowest in HC. In contrast, the relative abundance of Cyanobacteria was highest in HC and lowest in D-F. The relative abundance of the two dominant bacteria in each host were correlated with distance (Fig. 4). In addition, no significant differences in relative abundance were found for the Firmicutes and Actinobacteria in the Hooded Cranes and Domestic Ducks from the different areas (Fig. 4).

Fig. 4
figure 4

Relative abundances of the dominant bacteria in the Hooded Crane and Domestic Duck samples. Bar represents means; error bars denote standard deviations; The lower case letters above error bar represents the statistically significant differences, as determined with the Kruskal-Wallis test (P < 0.05). The one with the highest alpha diversity is marked as “a”. The alpha diversity is compared with other values, and the difference is significant, marked as “b”. Significant with all three, marked as “c”

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LEfSe analysis revealed specific that intestinal bacterial taxa of HC, D-N and D-F were different across the three hosts. The results showed that one phylum (i.e. Cyanobacteria), two classes (i.e. Zetaproteobacteria and Chloroplast), three orders (i.e. Turicibacterales, Streptophyta, and Mariprofundales), and six genera (Planococcaceae, Turicibacteraceae, Methylocystaceae, etc.) were found in HC. Three phyla (Thermi, Gemmatimonadetes, and Chloroflexi), three classes (Deinococci, Thermomicrobia, and Gemm_1), eight orders (Legionellales, MND1, Roseiflexales, etc.), and twenty families (Streptococcaceae, Eubacteriaceae, etc.) were abundant in D-N. However, only two families (Carnobacteriaceae and Williamsiaceae) were significantly different in the D-F group. Thus, HC and D-N both had more diverse flora compared with D-F, and D-N had the most diverse flora (Fig. 5).

Fig. 5
figure 5

LEfSe analysis (ranked by effect size LDA > 2, P < 0.05) of Hooded Crane gut bacteria across Hooded Cranes and Domestic Ducks present in near and far areas. The cladogram represents the taxonomic hierarchical structure of identified biomarkers among HC, D-N and D-F; blue, phylotypes overrepresented for HC; green, phylotypes overrepresented for D-N; and red, phylotypes overrepresented for D-F samples. Yellow color indicates that they are less significant among HC, D-N and D-F

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The intestinal bacterial species compositions differed between HC, D-N, and D-F (ANOSIM: R = 0.815, P = 0.001) (Additional file 3: Fig. S2). Furthermore, the intestinal bacterial community of HC was significantly different from that of D-N and D-F (Table 1). A significant difference was also found between D-N and D-F (Table 1). However, HC and D-N communities tended to be more similar in composition (Table 1; Additional file 3: Fig. S2). According to the indicator analysis, a total of 33 OTUs were identified, including 12 for HC, 13 for D-N, and 8 for D-F (Additional file 2: Table S3). We found OTU 2704 (s_acidipiscis) and OTU 34 (o_Streptophyta) had the highest relative abundance (10.69%) in HC. OTU 35 (g_Martelella) with OTU 1075 (s_acidipiscis) were the most abundant in D-N (7.80%), and OTU 6 (s_acidipiscis) and OTU 759 (s_fragi) were the indicators and were most abundant in D-F (21.21%) (Additional file 2: Table S3). The relative abundance of Lactobacillus acidipiscis and Martelella were responsible for the differences in the intestinal community structures between the Hooded Cranes and the Domestic Ducks at different distances.

Table 1 Analysis of similarities (ANOSIM) test for gut bacterial communities between HC, D-N and D-F samples
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Intestinal potential pathogenic bacteria

A total of 31,811 potentially pathogenic sequences were identified in this study, accounting for 2.02% of the total bacterial sequences, with each sample ranging from 7 to 3675 (Additional file 2: Table S2). HC and D-N shared more OTUs (approximately 24.61%), and D-F had more unique OTUs (26.92%) (Fig. 6).

Fig. 6
figure 6

Venn diagram indicating the shared and unique gut bacterial pathogenic operational taxonomic units (OTUs) among HC, D-N and D-F samples

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There were 29 pathogenic species selected from HC, D-N, and D-F host intestinal microorganisms (22 from HC, 23 from D-N, and 19 from D-F) (Additional file 2: Table S1, S4). The potential pathogen OTU richness of the Domestic Ducks was higher than that of Hooded Cranes (one-way ANOVA; P < 0.001) (Additional file 3: Fig. S3). Enterococcus cecorum and Clostridium botulinum were found in all samples with high relative abundance. The other potential pathogens mostly caused disease in human and other species (Additional file 2: Table S1).

Discussion

In this study, we found that HC shared OTUs with D-N (24.8%) and D-F (23.5%), but unique OTUs were also present in gut of HC (16.3%), D-N (20%), and D-F (12.2%) (Fig. 2). Therefore, it indicates that different species may face niche overlap and cooccur which results in shared OTUs between HC, D-N and D-F. The phylogenetic difference between the species is also responsible for the occurrence of unique OTUs. The proportion of OTUs that HC shared with D-N was slightly higher than that shared with D-F and D-N, and D-F shared the highest proportion of OTUs (Fig. 2). It can be inferred that similar bacterial OTUs are still maintained in the intestines of Domestic Ducks in the different distance groups, and that cross-species transmission under close distance may only affect one (or some) bacterial species. The alpha diversity of the gut bacteria in D-N was significantly higher than in HC and D-F, and distance was the casual factor of the significant changes in the phylogenetic diversity and richness of their host intestinal bacterial communities (Fig. 3). This indicates that the cross-species transmission between the Hooded Cranes and the Domestic Ducks was responsible for their intestinal bacterial structures and the exchange of their intestinal microbes in the nearby area. This strongly implies that distance between populations might be a major factor directly affecting and shaping the population structure of gut bacteria. However, previous studies have shown that endogenous factors may not be the only factors to consider when assessing intestinal bacterial communities (Hills et al. 2019).

The dominant bacteria with the highest relative abundances in this investigation were Proteobacteria, Firmicutes, Cyanobacteria, and Actinobacteria (Kong et al. 2020; Liu et al. 2020; Yang and Zhou 2021). However, shifts in the relative abundance of these phyla were found in HC, D-N and D-F (Additional file 3: Fig. S1). Cyanobacteria were most abundant in HC (Fig. 4). However, due to the influence of distance, Domestic Ducks far from the Hooded Crane feeding areas had the least amount of Cyanobacteria in their intestines. Cyanobacteria mostly enter the intestinal tract when animals feed on plants (Friedland et al. 2005). The diet structure of the Hooded Cranes as wild birds is different from that of the poultry (Madden et al. 2020), which mainly feed on rice and plant tubers. The feeding range of Domestic Ducks is wider, and they feed on insects as an auxiliary food in the diet, besides the weeds in the rice field. Therefore, the abundance of Cyanobacteria in Domestic Ducks feeding in close proximity to the Hooded Cranes may have been enriched via indirect contact with the cranes. Proteobacteria had the lowest relative abundance in the HC group (Fig. 4). The further the Domestic Ducks were from HC, the higher the relative abundance of Proteobacteria they hosted. Proteobacteria is the most abundant phylum that contains pathogenic bacteria, and its presence is regarded as an indicator of the state of the intestinal health of mammals (Shin et al. 2015). Large populations of free-range Domestic Ducks have a close relationship with human livestock, with frequent contact, and mainly sleep in narrow cages or gather in rice fields for a rest. Compared with Hooded Cranes living as a family unit, there were more potential pathogens belonging to phylum Proteobacteria in the intestines of Domestic Ducks. It also supports some studies that indicate poultry are a major carrier of potentially disease-causing bacteria (Revolledo et al. 2006; Dziva and Stevens 2008; Fu et al. 2020). In addition, these two dominant bacterial groups (Cyanobacteria and Proteobacteria) confirmed that spatial distance causes cross-species transmission of intestinal bacteria and affects the intestinal bacterial community structure of the host (Fig. 4).

The study also found that the relative abundance of probiotics (e.g. Lactobacillus acidipiscis and Martelella) in the intestines of Hooded Cranes and Domestic Ducks was higher (Additional file 2: Table S3), while the relative abundance of probiotics in the host intestines of D-N and HC was lower, and the structure of the intestinal flora was not coordinated (which was different from D-F). Interestingly, the relative abundance of D-F intestinal probiotics was generally higher, and the intestines were healthier (Additional file 2: Table S3). This suggests that Hooded Cranes and Domestic Ducks disturb the population structure of each other’s mutual intestinal bacteria.

In this study, 146 potential pathogenic OTUs were found in all samples. The overlap ratio of HC and D-N potential pathogenic OTUs was higher than that of HC and D-F, and D-F had more unique OTUs (Fig. 6). This indicates that mutual transmission and pathogenic infection may occur between Hooded Cranes and Domestic Ducks in nearby areas. It is important to note that the poultry (D-N and D-F) had proportionately more potential pathogenic bacterial OTUs than Hooded Cranes, which confirmed findings from previous research that poultry may have more pathogenic groups than wild birds (Kang et al. 2018; Fu et al. 2020) (Additional file 2: Table S2). Due to the complex social environment of Domestic Ducks, they can move from the residential areas (in close proximity to humans and livestock) to the open rice fields or grass land areas in lakes. In addition, the omnivorous feeding nature of Domestic Ducks increase the probability of more diversity of intestinal pathogenic bacterial OTUs. Thus, domestic fowls have been previously found to be responsible for the transmission of pathogenic bacteria and are regarded as “Trojan horses” (Iacob and Iacob 2019) that can cause diseases. It could explain why HC and D-N share more unique pathogen OTUs (6.15%) than HC and D-F (Fig. 6). Therefore, it is suspected that the Domestic Ducks present in close proximity are responsible for the cross-infection in cranes.

The abundance of the potential pathogens Flavobacterium succinicans, Enterococcus cecorum, and Clostridium botulinum was relatively high in HC samples (Additional file 2: Table S1). According to previous studies, the two main pathogenic bacteria (E. cecorum and C. botulinum) are concentrated in the intestinal tract of the poultry and are present in small amounts in birds (Rossetto et al. 2014; Warnke et al. 2015; Jung et al. 2018). The F. succinicans potential pathogen may cause diseases in humans and other species (Good et al. 2015). These pathogens mainly cause bacterial gill disease, host tissue necrosis, muscle paralysis, and poisoning (Rossetto et al. 2014; Good et al. 2015; Warnke et al. 2015). The results showed that Enterococcus cecorum, Clostridium botulinum, and Capnocytophaga ochracea were abundant in D-N. Hooded Cranes and Domestic Ducks in the nearby areas shared some pathogenic bacterial species, which indicated that there might be a process of mutual infection. The relative abundance of D-F pathogens was similar to that reported in previous studies (Rouger et al. 2017). Domestic Ducks near the feeding grounds of the Hooded Cranes contained more potential bacterial pathogens and transmitted these pathogens to the Hooded Cranes. We speculate that the population of Hooded Cranes may be physically weak after their long-distance migration, and young and weak birds, in particular, may be more susceptible to infection (Leung and Koprivnikar 2016). In addition, the direct or indirect transmission of these pathogens to livestock, humans and animals may occur and could also cause infections in humans (Reed et al. 2003; Hansen et al. 2015) (Additional file 2: Table S1).

However, this study also has some limitations. Only fecal sample analysis was conducted and no soil samples were analyzed. The time of observation was short which might be not enough for bird digesting and excreting feces. In addition, the impact of environmental microbes was not studied and discussed, and the sources of OTUs were not distinguished clearly. In future, these limitations can be overcome by applying new microbiological analysis methods and technologies.

Conclusions

Our results identified that the foraging site distance between Hooded Cranes and Domestic Ducks plays a crucial role in cross species transmission of intestinal bacteria and potential pathogenic infection. The Domestic Ducks present in close contact with Hooded Cranes are more prone to spread cross infection in Hooded Cranes and other organisms and it may have more potential pathogens in proportion to Hooded Cranes, which could threaten the survival of Hooded Cranes, and cause zoonotic diseases. This study clears that the shifts in intestinal bacterial communities are due to cross species transmission between sympatric birds present at close distance near 1 km. And it provides a theoretical basis for determining the safe stocking distance of the protected area and establishing a free-range area.