Altered Gut Archaeal Communities in Anser erythropus Populations Wintering at Shengjin and Caizi Lakes in China

Shaofei Zhang1, Na Xu2 and Gang Liu2*

1School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China

2School of Life Sciences, Anhui Medical University, 81 Meishan Road, Hefei 230032, China

ABSTRACT

Archaea are an important component of the gut microbiomes of animals and play a key role in animal health. However, they have been neglected in previous microbial studies, particularly those involving migratory waterbirds. Here, we investigated the gut archaeal communities of Anser erythropus wintering at Shengjin and Caizi Lakes in China using metagenomic analysis of 20 fecal samples (ten samples per lake). The operational taxonomic units (OTUs) in the gut archaea of geese wintering in the two lakes represented 16 phyla, 16 classes, 24 orders, 27 families, and 45 genera, with Euryarchaeota, Thaumarchaeota, and Bathyarchaeota being the dominant gut archaeal phyla. The results of alpha diversity analysis showed a significant difference in composition between the Shengjin and Caizi Lake samples, and orthogonal partial least squares-discriminant analysis (OPLS-DA) analysis indicated that geese were well-matched with their lakes of origin. Stamp analysis revealed a difference of 27 gut archaeal species between A. erythropus wintering at Shengjin Lake and those at Caizi Lake. Archaeal network analysis results fell into four major modules, with Methanolobus psychrotolerans and Thaumarchaeota archaeon as the hub modules. The abundances of several bacterial and fungal genera were significantly correlated with abundances of archaeal genera in pairwise populations, and a positive correlation was observed between archaeal, bacterial, and fungal diversities in the guts of A. erythropus wintering at both Shengjin and Caizi Lakes (R=0.4, p=2.2×10-16; R=0.86, p=2.2×10-16, respectively). This suggests that fecal bacteria and fungi may cooperate with archaea to perform crucial roles in the gut. However, because of the small sample size in this study, further studies are needed to fully investigate the altered archaea in the guts of these geese.

Article Information

Received 08 December 2022

Revised 10 January 2023

Accepted 30 January, 2023

Available online 18 May 2023

(early access)

Published 11 June 2024

Authors’ Contribution

FSZ and GL designed the study and did the experimental work. FSZ wrote the manuscript. NX, FSZ and GL did the bioinformatic and data analysis. FSZ and NX collected the samples.

Key words

Anser erythropus, Gut, Archaeal community, Diversity, Shengjin lake, Caizi lake

DOI: https://dx.doi.org/10.17582/journal.pjz/20221208061226

* Corresponding author: [email protected]

0030-9923/2024/0004-1809 $ 9.00/0

Copyright 2024 by the authors. Licensee Zoological Society of Pakistan.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

INTRODUCTION

Archaea comprise a unique domain of organisms with distinct biochemical and genetic differences from bacteria and eukaryotes, and are among the least studied and least understood members of the microbiota (Baker et al., 2020; Coker et al., 2020). Archaea use highly diverse energy sources and have unique metabolic characteristics and cell physiology, enabling them to survive in extreme environments. These include habitats with extreme temperatures, high salinity, and extreme alkalinity and acidity (Cavicchioli, 2006; Shen et al., 2008; Andrei et al., 2012; Eme et al., 2018; Herbold et al., 2017; Coker et al., 2020). Archaea have also been detected in various non-extreme environments, including soil, oceans, lake water, and habitats associated with human and non-human animal hosts, and have been confirmed to contribute significantly to the ecological cycle (Brugere et al., 2014; Blais et al., 2014). While archaea only account for a very small proportion of the gut microbiome in humans and non-human animals, they have been reported to act as stable commensals of the gastrointestinal tract, participating in functions such as methanogenesis, transformation of heavy metals, trimethylamine metabolism, and immune modulation (Coker et al., 2020; Deng et al., 2021).

The gastrointestinal microbial community of vertebrates is the largest and most important ecosystem. Most studies of the vertebrate microbiome over the last decade have focused on bacteria, and thus little is known about the diversity and role of archaea in the gut (Peng et al., 2022). However, with the advancement of research technologies and tools, a large number of archaea have recently been found in human and non-human animal gut microbial communities, and they are now considered to be an essential part of the gut microbiota along with viruses, protozoa, bacteria, and fungi (Deng et al., 2021). Similar to other gut microorganisms, archaea play an important role in the maintenance of host health. For example, some species have been reported to reduce concentrations of trimethylamine-N-oxide, a harmful compound associated with several diseases, via methanogenesis (Bain et al., 2006; Turnbaugh et al., 2006). These methanogenic archaea can remove H2, the end-product of bacterial fermentation, to increase the efficiency of fermentation and thus improve the energy harvesting capacity of the host (Bain et al., 2006; Turnbaugh et al., 2006). Additionally, archaea have been associated with health conditions such as the development of anaerobic abscesses, peri-implantitis, anorexia, and inflammatory bowel disease (Nakamura et al., 2010; Blais Lecours et al., 2014). Archaea exhibit active metabolism and optimize the metabolic pathways of fermentative bacteria in the human gut. The composition of the gut microbiota differs among people and is dependent upon many environmental factors, including diet, chemical exposure, and use of antibiotics or other medications (Xiang et al., 2019, 2021). The gut microbiota can be directly involved in the development of gastrointestinal diseases; thus, it is important to determine the composition and function of gut bacteria, fungi, and archaea in a healthy gut, as well as the alterations that cause gastrointestinal diseases, including several gastrointestinal cancers (Drancourt et al., 2017).

Similar to other vertebrates, birds harbor diverse microbes within their guts, which play an important role in shaping their health (Liu et al., 2020). Archaea are comparatively low in abundance in the vertebrate gut and are mostly unculturable; consequently, most data on gut archaeal diversity are derived from studies using standard universal 16S rRNA gene primers (Youngblut et al., 2021). Vertebrates of all major ecological niches harbor archaea in their gastrointestinal tracts; however, little is known about archaeal diversity and community composition in the avian gut (Liu et al., 2020; Youngblut et al., 2021). In this study, we re-analyzed metagenomic data to investigate the diversity, composition, and potential functions of archaea in the gut of the lesser white-fronted goose, Anser erythropus. Using samples from geese at two wintering locations, we aimed to determine whether gut archaeal compositions exhibit the same patterns across populations. Additionally, we determined the compositional and ecological alterations of archaea in the gut of A. erythropus and their association with gut bacteria and fungi.

MATERIALS AND METHODS

Species and study areas

Anser erythropus is a species of goose belonging to the family Anatidae and order Anseriformes (Tian et al., 2021). An important indicator species in wetlands, this bird is distributed from Scandinavia to Siberia during the breeding season and winters in Japan, Korea, and China (Cao et al., 2018). In recent years, these geese have experienced a continuous and rapid decline as a result of habitat loss, illegal hunting, and human disturbance. In China, A. erythropus prefers to winter on wetlands with typically low levels of human activity, and are mainly found in the Yangtze River floodplain, especially at Shengjin and Caizi Lakes (Yang et al., 2016; Liu et al., 2020). At Caizi Lake, their diet consists mainly of Carex species growing in mudflats, while at Shengjin Lake they mainly forage on Poaceae species on grasslands (Zhao et al., 2013; Liu et al., 2020).

Shengjin and Caizi Lakes (located at 30.25°–30.50°N, 116.92°–117.25°E and 30.75°–30.97°N, 117.00°–117.15°E, respectively) are typical shallow, river-connected lakes located in the middle and lower Yangtze River floodplain in Anhui Province, China. The distance between the two lakes is approximately 70 km. Both lakes are located in the humid subtropical climate zone, and function as catchment areas for Dabie Mountain and the Southern Anhui Mountains. They are also recognized as globally important stopover and wintering wetlands for migratory waterbirds on the East Asian-Australasian Flyway ( Chen et al., 2011; Mahtab et al., 2021). Affected by rainfall and reversing river flow, the lakes show clear seasonal hydrological fluctuations. Mudflats and meadows are widely exposed during the dry season from November to April, forming suitable wintering sites for migratory waterbirds. Exposure of mudflats and meadows changes with the water levels in the lakes during winter (Yang et al., 2015; Wei et al., 2020). As a consequence of wetland degradation and habitat loss, the carrying capacity of these wetlands has decreased and the availability of the traditional food sources of wintering waterbirds has declined sharply (Wan et al., 2016).

Sample collection, avian species determination, and Illumina high-throughput sequencing

All samples were collected from Shengjin and Caizi Lakes in December 2020 using the methods described by Xiang et al. (2019, 2021). We selected sampling sites where only a single species was present based on synchronous waterbird surveys, and observed while geese were feeding. Using either a telescope or binoculars, we collected fecal samples left in the grass of the mudflats at the two lakes by large geese (more than 100). Fresh fecal samples were collected immediately after the geese finished foraging and defecating, with a minimum distance of 5 m between samples. To avoid cross-contamination, we changed disposable gloves before collecting each sample, and fresh droppings were collected and stored in sterile tubes. Additionally, to minimize possible contamination from the ground, the outside of each sample was cut to avoid soil contaminants, and only the upper layer of the fecal ball was collected. Collected samples were kept in a cooler and transported to the laboratory as quickly as possible, where they were immediately stored at -80°C. The cox1 gene of the mitochondrial genome was u sequenced to confirm the avian species of origin to ensure that all fecal samples in this study were from A. erythropus (Xiang et al., 2019, 2021). Metagenome sequencing and analysis of 20 fecal samples (10 per lake) was performed using Illumina HiSeq 2500 at OE Biotech Co., Ltd. (Shanghai, China).

Bioinformatics, statistical analyses, and archaea–bacteria and archaea–fungi association analyses

Metagenomic data derived from the raw sequencing analysis were converted into FASTQ format and processed using Quantitative Insights into Microbial Ecology version 2 (Xiang et al., 2019). MEGAHIT (v1.1.2) software was used to perform metagenome assembly after obtaining valid reads. Clean reads were aligned against the non-redundant gene set (95% identity) using Bowtie 2 (v2.2.9). Raw reads of metagenomic data quality control were performed using the Kneaddata pipeline v0.7.2, and Kraken 2 was used to classify archaeal taxa.

We calculated alpha diversity, a measure of archaeal diversity applicable to a single sample, using the Chao1 index. Analysis of beta diversity, a measure of the degree of similarity or dissimilarity between two communities, was performed by calculating the UniFrac index using R (v3.4.1) (R Core Team. 2017). Differences in the archaeal compositions of the guts of A. erythropus at each lake were analyzed via partial least squares discrimination analysis (PLS-DA) using the mixOmics package in R (v3.2.1) (Rohart et al., 2017). Linear discriminant analysis effect size (LEfSe) analysis was used to identify differentially abundant taxonomic features between and among groups using the non-parametric Kruskal–Wallis rank sum test. Venn analysis diagrams were created to categorize core bacteria using the “Venn diagram” package in R (v3.2.1) (Chen et al., 2011). All statistical analyses and plots were generated using GraphPad Prism (v7.0). Stamp and network analyses were performed to categorize core fungal taxa using the Oebiotech tools at https://cloud.oebiotech.cn/task/ and the Tutool platform at https://www.cloudtutu.com/#/index. We analyzed the relationships between archaea and fungi and archaea and bacteria using gut bacterial and fungal data from 20 fecal samples taken from Shengjin and Caizi Lakes as part of a previous study (Liu et al., 2020, 2022). Pairwise Spearman correlations, R scores, and p-values for operational taxonomic units (OTUs) were calculated using the Hmisc package (v.4.1.1) in R.

RESULTS

Archaeal community compositions

We identified 16 phyla, 16 classes, 24 orders, 27 families, and 45 genera of archaea in the guts of A. erythropus wintering at Shengjin and Caizi Lakes. Euryarchaeota, Thaumarchaeota, and Bathyarchaeota were the dominant archaeal phyla, accounting for 35.41%, 27.35%, and 3.38% of the OTUs, respectively. In contrast, Heimdallarchaeota, Woesearchaeota, Crenarchaeota, Lokiarchaeota, Thorarchaeota, Micrarchaeota, and Verstraetearchaeota accounted for less than 0.02% of all archaea present in our samples (Fig. 1A). Among archaeal classes, Halobacteria, Methanomicrobia, and Methanobacteria were the most dominant, accounting for 66.41%, 15.66%, and 9.17%, respectively (Fig. 1B). Halobacteriales, Methanosarcinales, Methanobacteriales, Poseidoniales, Haloferacales, Nitrosopumilales, Thermococcales, Methanomicrobiales, Archaeoglobales, and Methanomethyliales were the dominant archaeal orders, with Halobacteriales being the most abundant, accounting for 15.03% (Fig. 1C). At the family level, Haloarculaceae, Methanobacteriaceae, Methanotrichaceae, Methanosarcinaceae, Thermococcaceae, Nitrosopumilaceae, Methanomicrobiaceae, Halobacteriaceae, Halorubraceae, and Haloferaceae were dominant, with Haloarculaceae being most abundant, accounting for 14.65% (Fig. 1D). Finally, Halomicroarcula, Methanothrix, Methanobrevibacter, Nitrosopumilus, Micrarchaeum, Pyrococcus, Methanoculleus, Halorubrum, Salarchaeum, and Methanosarcina were the dominant archaeal genera, with Halomicroarcula identified as the most abundant genus (14.58%) (Fig. 1E).

Alpha and beta diversities

Alpha and beta diversities were compared to identify and classify shifts in gut archaeal composition between the A. erythropus populations wintering at Shengjin Caizi Lakes. Estimates of gut archaeal alpha diversity calculated using the Simpson’s and Shannon indices showed that it differed significantly between the Caizi Lake and Shengjin Lake samples, with both the Simpson’s and Shannon indices being significantly higher for samples from Shengjin Lake (p=0.043, 0.031; respectively) (Fig. 2A-B). OPLS-DA of the archaea from the guts of A. erythropus wintering in both lakes indicated that the samples were well matched with their lakes of origin (ANOSIM: p = 0.001) (Fig. 3).

 

 

Differences in archaeal species across populations

Abundances of all gut archaeal species from A. erythropus wintering in Shengjin and Caizi Lakes were compared using stamp analysis. A total of 27 archaeal species differed across the guts of A. erythropus from the two populations (Fig. 4). All 27 of these species, including Thaumarchaeota archaeon, Euryarchaeota archaeon, Methanosaeta harundinacea, Heimdallarchaeota archaeon, Methanosarcinales archaeon, and Woesearchaeota archaeon,

 

 

had a significantly higher abundance of OTUs in samples from Caizi Lake than in those from Shengjin Lake.

 

LefSe and network analysis of archaea

To further explore the variation in gut archaeal community composition across A. erythropus populations, we performed LEfSe analysis to detect differences in the relative abundances of archaeal taxa across samples. Halobacteriaceae and Halorubraceae were significantly more abundant in A. erythropus wintering at Caizi Lake (p = 0.008, 0.001, respectively), whereas Thermoprotei were significantly more abundant in the geese from Shengjin Lake (p = 0.028) (Fig. 5). Furthermore, results from our archaeal network analysis fell into four major modules, with the largest two consisting of 19 and 43 total nodes, respectively (Fig. 6). From these results, we concluded that Methanolobus psychrotolerans was the hub of Module I, whereas Thaumarchaeota archaeon was the hub of Module II.

Bacteria–archaea and fungi–archaea associations

Abundances of some bacterial and fungal genera were significantly correlated with abundances of the archaeal genera found in our 20 samples. For example, abundances of the bacterial genera Pseudomonas, Sphingobacterium,

 

and Acinetobacter were positively correlated with the abundances of most archaeal genera present (p <0.05, 0.05, and 0.05, respectively), while abundances of Bacillus, Bacteroides, and Parabacteroides were negatively correlated (Fig. 7A). Additionally, a genus-level correlation heatmap for archaea and fungi revealed that the abundances of most of the top 30 archaeal genera identified were positively correlated with the abundances of most fungal genera in our samples (all p < 0.05) (Fig. 7B).

Considering the synergistic interactions that exist among gut archaea, bacteria, and fungi in various metabolic processes, these relationships were further investigated. A positive correlation was observed between bacterial and archaeal diversities in the guts of A. erythropus wintering at both Shengjin and Caizi Lakes (R=0.4, p=2.2×10-16) (Fig. 7C). Archaeal and fungal diversities were also positively correlated (R=0.86, p=2.2×10-16) (Fig. 7C and 7D).

DISCUSSION

As a domain of gut microorganisms, archaea are considered an essential group in both humans and non-human animals. They play an important role as electron acceptors for substrates originating from anaerobic degradation of organic matter in the gut by hydrolytic and fermentative bacteria (Sereme et al., 2019; Peng et al., 2022). However, information on the diversity and function of archaea residing in the vertebrate gut is limited because of the unculturable nature of most taxa (Gaci et al., 2014; Coker et al., 2020). Compared with bacteria and fungi, very limited information is available on the metabolic pathways that define archaeal composition in birds. In this study, we analyzed next-generation sequencing data to identify archaeal diversity in the guts of A. erythropus wintering in Shengjin and Caizi Lakes, thus improving current understanding of the potential roles of archaea in birds.

We found that gut archaeal communities differed drastically between geese wintering at Shengjin and Caizi Lakes, with similar shifts in bacterial and fungal communities. This suggests that food resources may be an important factor influencing changes in the gut microbial community (Liu et al., 2020). Previous research has shown that geese at Shengjin Lake mainly eat Poaceae, whereas geese at Caizi Lake mainly eat Carex species

 

(Yang et al., 2016). The abundance of archaea in the gut of A. erythropus has been shown to be significantly lower than that of both bacteria and fungi (Liu et al., 2020, 2022). Analysis of the relationships between gut microbes in A. erythropus indicated a positive association between bacterial and archaeal diversity, with a similar relationship between archaea and fungi. This mutualism suggests that fecal bacteria and fungi may cooperate with archaea to play crucial roles in the physiology of their hosts by contributing to gut function. Some archaeal taxa, especially methane-producing archaea, are thought to be key species that affect the composition and function of microbiota in complex host and non-host environments (Koskinen et al., 2017; Moissl-Eichinger et al., 2018; LeBlanc et al., 2019). Additionally, some archaea are considered promising probiotic candidates, suggesting that they may play important roles in the health and disease of human hosts (Amabebe et al., 2020; Coker et al., 2020). We found that Euryarchaeota, Thaumarchaeota, and Bathyarchaeota were the dominant archaeal phyla in the guts of A. erythropus wintering in Shengjin and Caizi Lakes. The phylum Euryarchaeota contains the greatest number and diversity of cultured lineages of archaea, many of which live under extreme conditions (Baker et al., 2020). Euryarchaeota are involved in methane production and anaerobic oxidation of methane and other short-chain hydrocarbons (Orphan et al., 2002; Wang et al., 2019). Thaumarchaeota are among the most abundant archaea on earth and can obtain ammonia from urea and cyanate to synthesize methylphosphonate (Metcalf et al., 2012; Baker et al., 2020). Bathyarchaeota have also been detected in a wide range of environments, with most identified lineages living in anoxic marine, anoxic freshwater, and high-temperature hot spring locations. Evidence has shown that Bathyarchaeota can remineralize detrital proteins, possibly coupling protein degradation to hydrogen production (Lazar et al., 2016). Some studies suggest that associations between archaeal taxa and animal growth could be the result of the ability of some archaea to reduce hydrogen, increasing host energy harvest and fat deposition in mouse models (Baker et al., 2020; Peng et al., 2022). However, this does not seem to entirely explain the effects of archaea on hosts, and the function of most archaea in birds remains largely unknown (Peng et al., 2022).

In conclusion, the gut archaea of A. erythropus differed significantly across populations wintering at Shengjin and Caizi Lakes in China. As with variation in gut fungal and bacterial communities, differences in food resources may underly the variation seen in the gut archaeal communities of geese wintering at the two lakes. Furthermore, analysis of the relationships between microbes found in the guts of A. erythropus indicated a positive association between bacterial and archaeal, as well as fungal and archaeal diversity. These results suggest that fecal bacteria and fungi may cooperate with archaea to play a crucial role in the gut.

This study had some limitations. First, only 20 samples were included. Second, further investigation is required to elaborate on the functional consequences of archaea as a biomarker. Finally, more experimental technologies are needed to fully investigate the abundance and diversity correlations among bacteria, fungi, and archaea. Future studies should investigate the food resources, diet, flock size, wintering processes, and breeding/stopover site characteristics of migratory waterbirds, as well as the frequency of interactions with other fowl species (i.e., the domestic duck), as these ecological factors could have an effect on gut archaeal communities.

ACKNOWLEDGEMENTS

The authors would like to thank Zhizhong Gong for his assistance with the laboratory work.

Funding

This research was supported by the Natural Science Foundation for the Higher Education Institutions of Anhui Province of China (grant no. KJ2021A0246).

IRB approval and ethical standards

No birds were harmed or killed during this study. Our methods were approved by the Animal Research Ethics Committee of Anhui Medical University (No. 81220270).

Statement of conflict of interest

The authors have declared no conflict of interest.

REFERENCES

Amabebe, E., Robert, F.O., Agbalalah, T., and Orubu, E.S., 2020. Microbial dysbiosisinduced obesity: Role of gut microbiota in homoeostasis of energy metabolism. Br. J. Nutr., 123: 1127-1137. https://doi.org/10.1017/S0007114520000380

Andrei, A.Ş., Banciu, H.L., and Oren, A., 2012. Living with salt: metabolic and phylogenetic diversity of archaea inhabiting saline ecosystems. FEMS Microbiol. Lett., 330: 1-9. https://doi.org/10.1111/j.1574-6968.2012.02526.x

Bain, M.A., Faull, R., Fornasini, G., Milne, R.W., and Evans, A.M., 2006. Accumulation of trimethylamine and trimethylamine-N-oxide in end-stage renal disease patients undergoing haemodialysis. Nephrol. Dial. Transplant., 21: 1300–1304. https://doi.org/10.1093/ndt/gfk056

Baker, B.J, De Anda, V., Seitz, K.W., Dombrowski, N., Santoro, A.E., and Lloyd, K.G., 2020. Diversity, ecology and evolution of Archaea. Nat. Microbiol., 5: 887-900. https://doi.org/10.1038/s41564-020-0715-z

Blais Lecours, P., Marsolais, D., Cormier, Y., Berberi, M., Haché, C., Bourdages, R., and Duchaine, C., 2014. Increased prevalence of Methanosphaera stadtmanae in inflammatory bowel diseases. PLoS One, 9: e87734. https://doi.org/10.1371/journal.pone.0087734

Brugère, J.F., Borrel, G., Gaci, N., Tottey, W., O’Toole, P.W., and Malpuech-Brugère, C., 2014. Archaebiotics: proposed therapeutic use of archaea to prevent trimethylaminuria and cardiovascular disease. Gut Microbes, 5: 5-10. https://doi.org/10.4161/gmic.26749

Cao, L., Fox, A.D., Morozov, V., Syroechkovskiy, E., and Solovieva, D., 2018. Eastern palearctic lesser white-fronted goose Anser erythropus. In: A global audit of the status and trends of Arctic and Northern Hemisphere goose populations (component 2: population accounts). CAFF, Conservation of Arctic Flora and Fauna. pp. 38-39

Cavicchioli, R., 2006. Cold-adapted archaea. Nat. Rev. Microbiol., 4: 331-343. https://doi.org/10.1038/nrmicro1390

Chen, H., and Boutros, P.C., 2011. VennDiagram: A package for the generation of highly-customizable Venn and Euler diagrams in R. BMC Bioinf., 12: 35. https://doi.org/10.1186/1471-2105-12-35

Coker, O.O., Wu, W.K.K., Wong, S.H., Sung, J.J., and Yu, J., 2020. Altered gut archaea composition and interaction with bacteria are associated with colorectal cancer. Gastroenterology, 159: 1459-1470.e5. https://doi.org/10.1053/j.gastro.2020.06.042

Deng, F., Li, Y., Peng, Y., Wei, X., Wang, X., Howe, S., Yang, H., Xiao, Y., Li, H., Zhao, J., and Li, Y., 2021. The diversity, composition, and metabolic pathways of Archaea in pigs. Animals (Basel), 11: 2139. https://doi.org/10.3390/ani11072139

Drancourt, M., Nkamga, V.D., Lakhe, N.A., Régis, J.M., Dufour, H., Fournier, P.E., Bechah, Y., Scheld, W.M., and Raoult, D., 2017. Evidence of archaeal methanogens in brain abscess. Clin. Infect. Dis., 65: 1-5. https://doi.org/10.1093/cid/cix286

Dridi, B., Raoult, D., and Drancourt, M., 2011. Archaea as emerging organisms in complex human microbiomes. Anaerobe, 17: 56-63. https://doi.org/10.1016/j.anaerobe.2011.03.001

Eme, L., Spang, A., Lombard, J., Stairs, C.W., and Ettema, T.J.G. 2018. Archaea and the origin of eukaryotes. Nat. Rev. Microbiol., 16: 120. https://doi.org/10.1038/nrmicro.2017.154

Gaci, N., Borrel, G., Tottey, W., O’Toole, P.W., and Brugère, J.F., 2014. Archaea and the human gut: New beginning of an old story. World J. Gastroenterol., 20: 16062-16078. https://doi.org/10.3748/wjg.v20.i43.16062

Herbold, C.W., Lehtovirta-Morley, L.E., Jung, M.Y., Jehmlich, N., Hausmann, B., Han, P., Loy, A., Pester, M., Sayavedra-Soto, L.A., and Rhee, S.K., 2017. Ammonia-oxidising archaea living at low pH: Insights from comparative genomics. Environ. Microbiol., 19: 4939-4952. https://doi.org/10.1111/1462-2920.13971

Koskinen, K., Pausan, M.R., Perras, A.K., Beck, M., Bang, C., Mora, M., Schilhabel, A., Schmitz, R., and Moissl-Eichinger, C., 2017. First insights into the diverse human Archaeome: Specific detection of Archaea in the gastrointestinal tract, lung, and nose and on skin. mBio, 8: e00824-17. https://doi.org/10.1128/mBio.00824-17

Lazar, C.S., Baker, B.J., Seitz, K., Hyde, A.S., Dick, G.J., Hinrichs, K.U., and Teske, A.P., 2016. Genomic evidence for distinct carbon substrate preferences and ecological niches of Bathyarchaeota in estuarine sediments. Environ. Microbiol., 18: 1200-1211. https://doi.org/10.1111/1462-2920.13142

LeBlanc, N., and Crouch, J.A., 2019. Prokaryotic taxa play keystone roles in the soil microbiome associated with woody perennial plants in the genus buxus. Ecol. Evol., 9: 11102-11111. https://doi.org/10.1002/ece3.5614

Yang, L., Zhou, L.Z., and Song, Y.W., 2015. The effects of food abundance and disturbance on foraging flock patterns of the wintering hooded crane (Grus monacha). Avian Res., 6: 15. https://doi.org/10.1186/s40657-015-0024-z

Liu, G., Xu, N., Gong, Z.Z., and Feng, J.H., 2022. Gut fungal communities of Anser erythropus wintering at Shengjin Lake and Caizi Lake in China. Pakistan J. Zool., pages 1-10. https://doi.org/10.17582/journal.pjz/20220407050453

Liu, G., Gong, Z., Li, Q., 2020. Variations in gut bacterial communities between lesser white-fronted geese wintering at Caizi and Shengjin lakes in China. Microbiol. Open, 9: e1037. https://doi.org/10.1002/mbo3.1037

Mahtab, N., Zhou, L., Zhang, F., and Wang, W., 2021. Seasonal variations in the gut fungal communities of hooded crane (Grus monacha) at wintering and stopover sites in China. Animals, 11: 941. https://doi.org/10.3390/ani11040941

Metcalf, W.W., Griffin, B.M., Cicchillo, R.M., Gao, J., Janga, S.C., Cooke, H.A., Circello, B.T., Evans, B.S., Martens-Habbena, W., Stahl, D.A., and van der Donk, W.A., 2012. Synthesis of methylphosphonic acid by marine microbes: A source for methane in the aerobic ocean. Science, 337: 1104-1107. https://doi.org/10.1126/science.1219875

Moissl-Eichinger, C., Pausan, M., Taffner, J., Berg, G., Bang, C., and Schmitz, R.A., 2018. Archaea are interactive components of complex microbiomes. Trends Microbiol., 26: 70-85. https://doi.org/10.1016/j.tim.2017.07.004

Nakamura, N., Lin, H.C., McSweeney, C.S., Mackie, R.I., and Gaskins, H.R., 2010. Mechanisms of microbial hydrogen disposal in the human colon and implications for health and disease. Annls Rev. Fd. Sci. Technol., 1: 363-395. https://doi.org/10.1146/annurev.food.102308.124101

Orphan, V.J., House, C.H., Hinrichs, K.U., McKeegan, K.D., and DeLong, E.F., 2002. Multiple archaeal groups mediate methane oxidation in anoxic cold seep sediments. Proc. natl. Acad. Sci., 99: 7663-7668. https://doi.org/10.1073/pnas.072210299

Peng, Y., Xie, T., Wu, Z., Zheng, W., Zhang, T., Howe, S., Chai, J., Deng, F., Li, Y., and Zhao, J., 2022. Archaea: An under-estimated kingdom in livestock animals. Front. Vet. Sci., 9: 973508. https://doi.org/10.3389/fvets.2022.973508

R Core Team., 2017. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

Rohart, F., Gautier, B., Singh, A., and Lê Cao, K.A., 2017. mixOmics: An R package for omics feature selection and multiple data integration. PLoS Comput. Biol., 13: e1005752. https://doi.org/10.1371/journal.pcbi.1005752

Sereme, Y., Mezouar, S., Grine, G., Mege, J.L., Drancourt, M., Corbeau, P., and Vitte, J., 2019. Methanogenic Archaea: Emerging partners in the field of allergic diseases. Clin. Rev. Allergy Immunol., 57: 456-466. https://doi.org/10.1007/s12016-019-08766-5

Shen, J.P., Zhang, L.M., Zhu, Y.G., Zhang, J.B., and He, J.Z., 2008. Abundance and composition of ammonia-oxidizing bacteria and ammonia-oxidizing archaea communities of an alkaline sandy loam. Environ. Microbiol., 10: 1601-1611. https://doi.org/10.1111/j.1462-2920.2008.01578.x

Tian, H., Solovyeva, D., Danilov, G., Vartanyan, S., Wen, L., Lei, J., Lu, C., Bridgewater, P., Lei, G., and Zeng, Q., 2021. Combining modern tracking data and historical records improves understanding of the summer habitats of the Eastern lesser white-fronted goose Anser erythropus. Ecol. Evol., 11: 4126-4139. https://doi.org/10.1002/ece3.7310

Turnbaugh, P.J., Ley, R.E., Mahowald, M.A., Magrini, V., Mardis, E.R., and Gordon, J.I., 2006. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature, 444: 1027. https://doi.org/10.1038/nature05414

Wang, Y., Wegener, G., Hou, J., Wang, F., and Xiao, X., 2019. Expanding anaerobic alkane metabolism in the domain of Archaea. Nat. Microbiol., 4: 595-602. https://doi.org/10.1038/s41564-019-0364-2

Wei, Z.H., Zheng, M., Zhou, L.Z., and Xu, W.B., 2020. Flexible foraging response of wintering hooded cranes (Grus monacha) to food availability in the lakes of the Yangtze River Floodplain, China. Animals (Basel), 10: 568. https://doi.org/10.3390/ani10040568

Wan, W.J., Zhou, L.Z, and Song Y.W., 2016. Shifts in foraging behavior of wintering hooded cranes (Grus monacha) in three different habitats at Shengjin Lake, China. Avian Res., 7: 13. https://doi.org/10.1186/s40657-016-0047-0

Xiang, X.J., Jin, L.L., Yang, Z.Q., Zhang, N.Z., and Zhang, F., 2021. Dramatic shifts in intestinal fungal community between wintering hooded crane and domestic goose. Avian Res., 12: 1. https://doi.org/10.1186/s40657-020-00238-1

Xiang, X.J., Zhang, F.L., Fu, R., Yan, S.F., and Zhou, L.Z., 2019. Significant differences in bacterial and potentially pathogenic communities between sympatric hooded crane and greater white-fronted goose. Front. Microbiol., 10: 163. https://doi.org/10.3389/fmicb.2019.00163

Yang, Y.Z., Deng, Y., and Cao, L., 2016. Characterising the interspecific variations and convergence of gut microbiota in Anseriformes herbivores at wintering areas. Sci. Rep., 6: 32655. https://doi.org/10.1038/srep32655

Youngblut, N.D., Reischer, G.H., Dauser, S., Maisch, S., Walzer, C., Stalder, G., Farnleitner, A.H., and Ley, R.E. 2021.Vertebrate host phylogeny influences gut archaeal diversity. Nat. Microbiol., 6: 1443-1454. https://doi.org/10.1038/s41564-021-00980-2

Zhao, F.T., Zhou, L.Z., and Xu, W.B., 2013. Habitat utilization and resource partitioning of wintering hooded cranes and three goose species at Shengjin Lake. Chinese Birds, 4: 281-290. https://doi.org/10.5122/cbirds.2013.0032