Host habitat is the major determinant of the gut microbiome of fish

被引:174
作者
Kim, Pil Soo [1 ]
Shin, Na-Ri [1 ,2 ]
Lee, Jae-Bong [3 ]
Kim, Min-Soo [1 ]
Whon, Tae Woong [1 ]
Hyun, Dong-Wook [1 ]
Yun, Ji-Hyun [1 ]
Jung, Mi-Ja [1 ]
Kim, Joon Yong [1 ]
Bae, Jin-Woo [1 ]
机构
[1] Kyung Hee Univ, Dept Biol, Seoul 02447, South Korea
[2] Kyung Hee Univ, Dept Life & Nanopharmaceut Sci, Seoul 02447, South Korea
[3] Korea Res Inst Biosci & Biotechnol, Biol Resource Ctr, Jeongeup 56212, Jeollabuk Do, South Korea
基金
新加坡国家研究基金会;
关键词
Fish; Fish gut microbiota; Freshwater fish; Seawater fish; Vertebrate gut microbiota; INTESTINAL MICROBIOTA; BACTERIAL COMMUNITIES; IMMUNE-RESPONSES; EVOLUTION; DIET; CONVERGENCE; DIVERSITY; SEQUENCES; PHYLOGENY; TREES;
D O I
10.1186/s40168-021-01113-x
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: Our understanding of the gut microbiota of animals is largely based on studies of mammals. To better understand the evolutionary basis of symbiotic relationships between animal hosts and indigenous microbes, it is necessary to investigate the gut microbiota of non-mammalian vertebrate species. In particular, fish have the highest species diversity among groups of vertebrates, with approximately 33,000 species. In this study, we comprehensively characterized gut bacterial communities in fish. Results: We analyzed 227 individual fish representing 14 orders, 42 families, 79 genera, and 85 species. The fish gut microbiota was dominated by Proteobacteria (51.7%) and Firmicutes (13.5%), different from the dominant taxa reported in terrestrial vertebrates (Firmicutes and Bacteroidetes). The gut microbial community in fish was more strongly shaped by host habitat than by host taxonomy or trophic level. Using a machine learning approach trained on the microbial community composition or predicted functional profiles, we found that the host habitat exhibited the highest classification accuracy. Principal coordinate analysis revealed that the gut bacterial community of fish differs significantly from those of other vertebrate classes (reptiles, birds, and mammals). Conclusions: Collectively, these data provide a reference for future studies of the gut microbiome of aquatic animals as well as insights into the relationship between fish and their gut bacteria, including the key role of host habitat and the distinct compositions in comparison with those of mammals, reptiles, and birds.
引用
收藏
页数:16
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共 92 条
[11]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[12]   PyNAST: a flexible tool for aligning sequences to a template alignment [J].
Caporaso, J. Gregory ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
DeSantis, Todd Z. ;
Andersen, Gary L. ;
Knight, Rob .
BIOINFORMATICS, 2010, 26 (02) :266-267
[13]   Microbiota and mucosal immunity in amphibians [J].
Colombo, Bruno M. ;
Scalvenzi, Thibault ;
Benlamara, Sarah ;
Pollet, Nicolas .
FRONTIERS IN IMMUNOLOGY, 2015, 6
[14]   Microbiome evolution along divergent branches of the vertebrate tree of life: what is known and unknown [J].
Colston, Timothy J. ;
Jackson, Colin R. .
MOLECULAR ECOLOGY, 2016, 25 (16) :3776-3800
[15]   Postprandial remodeling of the gut microbiota in Burmese python']pythons [J].
Costello, Elizabeth K. ;
Gordon, Jeffrey I. ;
Secor, Stephen M. ;
Knight, Rob .
ISME JOURNAL, 2010, 4 (11) :1375-1385
[16]   Diet rapidly and reproducibly alters the human gut microbiome [J].
David, Lawrence A. ;
Maurice, Corinne F. ;
Carmody, Rachel N. ;
Gootenberg, David B. ;
Button, Julie E. ;
Wolfe, Benjamin E. ;
Ling, Alisha V. ;
Devlin, A. Sloan ;
Varma, Yug ;
Fischbach, Michael A. ;
Biddinger, Sudha B. ;
Dutton, Rachel J. ;
Turnbaugh, Peter J. .
NATURE, 2014, 505 (7484) :559-+
[17]   Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa [J].
De Filippo, Carlotta ;
Cavalieri, Duccio ;
Di Paola, Monica ;
Ramazzotti, Matteo ;
Poullet, Jean Baptiste ;
Massart, Sebastien ;
Collini, Silvia ;
Pieraccini, Giuseppe ;
Lionetti, Paolo .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (33) :14691-14696
[18]   Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB [J].
DeSantis, T. Z. ;
Hugenholtz, P. ;
Larsen, N. ;
Rojas, M. ;
Brodie, E. L. ;
Keller, K. ;
Huber, T. ;
Dalevi, D. ;
Hu, P. ;
Andersen, G. L. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2006, 72 (07) :5069-5072
[19]   Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage [J].
Dupont, Chris L. ;
Rusch, Douglas B. ;
Yooseph, Shibu ;
Lombardo, Mary-Jane ;
Richter, R. Alexander ;
Valas, Ruben ;
Novotny, Mark ;
Yee-Greenbaum, Joyclyn ;
Selengut, Jeremy D. ;
Haft, Dan H. ;
Halpern, Aaron L. ;
Lasken, Roger S. ;
Nealson, Kenneth ;
Friedman, Robert ;
Venter, J. Craig .
ISME JOURNAL, 2012, 6 (06) :1186-1199
[20]   Search and clustering orders of magnitude faster than BLAST [J].
Edgar, Robert C. .
BIOINFORMATICS, 2010, 26 (19) :2460-2461