Interactions between gut microbiota, host genetics and diet relevant to development of metabolic syndromes in mice

被引:789
作者
Zhang, Chenhong [1 ]
Zhang, Menghui [1 ]
Wang, Shengyue [2 ]
Han, Ruijun [3 ]
Cao, Youfang [1 ]
Hua, Weiying [1 ]
Mao, Yuejian [1 ]
Zhang, Xiaojun [1 ]
Pang, Xiaoyan [1 ]
Wei, Chaochun [1 ]
Zhao, Guoping [2 ]
Chen, Yan [3 ]
Zhao, Liping [1 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Lab Mol Microbial Ecol & Ecogenom, Sch Life Sci & Biotechnol, Dept Biol Sci, Shanghai 200240, Peoples R China
[2] Chinese Natl Human Genome Sequencing Ctr, Shanghai, Peoples R China
[3] Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Nutr & Metab, Inst Nutr Sci, Shanghai, Peoples R China
[4] Shanghai Ctr Syst Biomed, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
gut microbiota; MS; HFD; host genotype; sulphate-reducing bacteria; obesity; GEL-ELECTROPHORESIS ANALYSIS; 16S RIBOSOMAL-RNA; INDUCED OBESITY; FTO GENE; DIVERSITY; COMMUNITIES; POPULATIONS; BACTERIA; COMMON; PCR;
D O I
10.1038/ismej.2009.112
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Both genetic variations and diet-disrupted gut microbiota can predispose animals to metabolic syndromes (MS). This study assessed the relative contributions of host genetics and diet in shaping the gut microbiota and modulating MS-relevant phenotypes in mice. Together with its wild-type (Wt) counterpart, the Apoa-I knockout mouse, which has impaired glucose tolerance (IGT) and increased body fat, was fed a high-fat diet (HFD) or normal chow (NC) diet for 25 weeks. DNA fingerprinting and bar-coded pyrosequencing of 16S rRNA genes were used to profile gut microbiota structures and to identify the key population changes relevant to MS development by Partial Least Square Discriminate Analysis. Diet changes explained 57% of the total structural variation in gut microbiota, whereas genetic mutation accounted for no more than 12%. All three groups with IGT had significantly different gut microbiota relative to healthy Wt/NC-fed animals. In all, 65 species-level phylotypes were identified as key members with differential responses to changes in diet, genotype and MS phenotype. Most notably, gut barrier-protecting Bifidobacterium spp. were nearly absent in all animals on HFD, regardless of genotype. Sulphate-reducing, endotoxin-producing bacteria of the family, Desulfovibrionaceae, were enhanced in all animals with IGT, most significantly in the Wt/HFD group, which had the highest calorie intake and the most serious MS phenotypes. Thus, diet has a dominating role in shaping gut microbiota and changes of some key populations may transform the gut microbiota of Wt animals into a pathogen-like entity relevant to development of MS, despite a complete host genome. The ISME Journal (2010) 4, 232-241; doi: 10.1038/ismej.2009.112; published online 29 October 2009
引用
收藏
页码:232 / 241
页数:10
相关论文
共 43 条
[1]   Fine-scale phylogenetic architecture of a complex bacterial community [J].
Acinas, SG ;
Klepac-Ceraj, V ;
Hunt, DE ;
Pharino, C ;
Ceraj, I ;
Distel, DL ;
Polz, MF .
NATURE, 2004, 430 (6999) :551-554
[2]   Mechanisms underlying the resistance to diet-induced obesity in germ-free mice [J].
Backhed, Fredrik ;
Manchester, Jill K. ;
Semenkovich, Clay F. ;
Gordon, Jeffrey I. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (03) :979-984
[3]   SULFATE-REDUCING ANAEROBIC BACTERIA IN HUMAN FECES [J].
BEERENS, H ;
ROMOND, C .
AMERICAN JOURNAL OF CLINICAL NUTRITION, 1977, 30 (11) :1770-1776
[4]  
Campbell T.Colin., 2005, The China Study: The Most Comprehensive Study of Nutrition Ever Conducted and the Startling Implications for Diet, Weight Loss and Long-term Health, V1st
[5]   Selective increases of bifidobacteria in gut microflora improve high-fat-diet-induced diabetes in mice through a mechanism associated with endotoxaemia [J].
Cani, P. D. ;
Neyrinck, A. M. ;
Fava, F. ;
Knauf, C. ;
Burcelin, R. G. ;
Tuohy, K. M. ;
Gibson, G. R. ;
Delzenne, N. M. .
DIABETOLOGIA, 2007, 50 (11) :2374-2383
[6]   Metabolic endotoxemia initiates obesity and insulin resistance [J].
Cani, Patrice D. ;
Amar, Jacques ;
Iglesias, Miguel Angel ;
Poggi, Marjorie ;
Knauf, Claude ;
Bastelica, Delphine ;
Neyrinck, Audrey M. ;
Fava, Francesca ;
Tuohy, Kieran M. ;
Chabo, Chantal ;
Waget, Aurelie ;
Delmee, Evelyne ;
Cousin, Beatrice ;
Sulpice, Thierry ;
Chamontin, Bernard ;
Ferrieres, Jean ;
Tanti, Jean-Francois ;
Gibson, Glenn R. ;
Casteilla, Louis ;
Delzenne, Nathalie M. ;
Alessi, Marie Christine ;
Burcelin, Remy .
DIABETES, 2007, 56 (07) :1761-1772
[7]   Metabolic syndrome - A comprehensive perspective based on interactions between obesity, diabetes, and inflammation [J].
Dandona, P ;
Aljada, A ;
Chaudhuri, A ;
Mohanty, P ;
Garg, R .
CIRCULATION, 2005, 111 (11) :1448-1454
[8]   NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes [J].
DeSantis, T. Z. ;
Hugenholtz, P. ;
Keller, K. ;
Brodie, E. L. ;
Larsen, N. ;
Piceno, Y. M. ;
Phan, R. ;
Andersen, G. L. .
NUCLEIC ACIDS RESEARCH, 2006, 34 :W394-W399
[9]   The metabolic syndrome [J].
Eckel, RH ;
Grundy, SM ;
Zimmet, PZ .
LANCET, 2005, 365 (9468) :1415-1428
[10]   EFFECT OF DIET ON HUMAN FECAL FLORA - COMPARISON OF JAPANESE AND AMERICAN DIETS [J].
FINEGOLD, SM ;
ATTEBERY, HR ;
SUTTER, VL .
AMERICAN JOURNAL OF CLINICAL NUTRITION, 1974, 27 (12) :1456-1469