Integrated omics analysis reveals differences in gut microbiota and gut-host metabolite profiles between obese and lean chickens

被引：29

作者：

Liu, Jie ^{[1
,2
]}

Wang, Jie ^{[1
,2
]}

Zhou, Yan ^{[1
,2
]}

Han, Haixia ^{[1
,2
]}

Liu, Wei ^{[1
,2
]}

Li, Dapeng ^{[1
,2
]}

Li, Fuwei ^{[1
,2
]}

Cao, Dingguo ^{[1
,2
]}

Lei, Qiuxia ^{[1
,2
]}

机构：

[1] Shandong Acad Agr Sci, Poultry Inst, Jinan 250100, Peoples R China

[2] Poultry Breeding Engn Technol Ctr Shandong Prov, Jinan 250100, Peoples R China

来源：

POULTRY SCIENCE | 2022年 / 101卷 / 11期

关键词：

microbiome; metabolome; chicken; fat deposition; PLASMA ACYLCARNITINES; SPECTROMETRY DATA; IDENTIFICATION; ALIGNMENT; ENERGY;

D O I：

10.1016/j.psj.2022.102165

中图分类号：

S8 [畜牧、动物医学、狩猎、蚕、蜂];

学科分类号：

0905 ;

摘要：

Abdominal fat is the major adipose tis-sue in chickens. In chicken, the deposition of abdominal fat affects meat yield and quality. Previous reports sug-gest that gut microbiota composition and function are associated with lipid metabolism. In this study, we used comparative metagenomics and metabolomics analysis to determine the gut microbiota and gut-host metabolite profiles in Shouguang (SG; a Chinese chicken breed with low-fat deposition) and Luqin (LQ; a fatty-type chicken breed with a fast growth rate) chickens. The results showed that LQ chickens had higher body weight, eviscerated yield, abdominal fat yield, abdomi-nal fat ratio, and triglyceride (TG) content in the breast muscle than SG chickens. Untargeted metabolomics analyses showed a total of 11 liver metabolites, 19 plasma metabolites, and 30 cecal metabolites differen-tially enriched in LQ and SG chickens based on variable importance in the projection (VIP) >= 1 and P <= 0.05. These metabolites are involved in lipid and amino acid metabolism. The relative abundance of bacteria in the microbiota differed significantly between the 2 chicken breeds. The functional prediction of microbiota abun-dant in LQ chickens was starch and lactose degradation. Erysipelatoclostridium was abundant in LQ chickens and significantly positively correlated to palmitoyl etha-nolamide (PEA), a key regulator of lipid metabolism. Our findings revealed differences in liver and plasma metabolites between chicken breeds with different adi-pose deposition capacities. Long-chain acylcarnitines might be important markers of adipose deposition differ-ences in chickens. The cecum's microbial communities and metabolome profiles significantly differed between LQ and SG chickens. However, the relationship between cecal microbiota and their metabolites and liver and plasma metabolites is not thoroughly understood. Future research will focus on relating tissue metabolite changes to intestinal microbiota and their effects on body fat deposition.

引用

页数：11

共 40 条

[1] Palmitoylethanolamide Promotes White-to-Beige Conversion and Metabolic Reprogramming of Adipocytes: Contribution of PPAR-α [J].

Annunziata, Chiara ;

Pirozzi, Claudio ;

Lama, Adriano ;

Senzacqua, Martina ;

Comella, Federica ;

Bordin, Antonella ;

Monnolo, Anna ;

Pelagalli, Alessandra ;

Ferrante, Maria Carmela ;

Mollica, Maria Pina ;

Iossa, Angelo ;

De Falco, Elena ;

Mattace Raso, Giuseppina ;

Cinti, Saverio ;

Giordano, Antonio ;

Meli, Rosaria .

PHARMACEUTICS, 2022, 14 (02)

[2] Pertinent plasma indicators of the ability of chickens to synthesize and store lipids [J].

Baeza, E. ;

Jegou, M. ;

Gondret, F. ;

Lalande-Martin, J. ;

Tea, I. ;

Le Bihan-Duval, E. ;

Berri, C. ;

Collin, A. ;

Metayer-Coustard, S. ;

Louveau, I. ;

Lagarrigue, S. ;

Duclos, M. J. .

JOURNAL OF ANIMAL SCIENCE, 2015, 93 (01) :107-116

[3] Glucose regulation in birds [J].

Braun, Eldon J. ;

Sweazea, Karen L. .

COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY B-BIOCHEMISTRY & MOLECULAR BIOLOGY, 2008, 151 (01) :1-9

[4] Emergence of the chicken as a model organism: Implications for agriculture and biology [J].

Burt, D. W. .

POULTRY SCIENCE, 2007, 86 (07) :1460-1471

[5] Assessing Urinary Metabolomics in Giant Pandas Using Chromatography/Mass Spectrometry: Pregnancy-Related Changes in the Metabolome [J].

Cao, Maosheng ;

Li, Chunjin ;

Liu, Yuliang ;

Cai, Kailai ;

Chen, Lu ;

Yuan, Chenfeng ;

Zhao, Zijiao ;

Zhang, Boqi ;

Hou, Rong ;

Zhou, Xu .

FRONTIERS IN ENDOCRINOLOGY, 2020, 11

[6] Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures.: Application in 1H NMR metabonomics [J].

Dieterle, Frank ;

Ross, Alfred ;

Schlotterbeck, Gotz ;

Senn, Hans .

ANALYTICAL CHEMISTRY, 2006, 78 (13) :4281-4290

[7] Expanding role of gut microbiota in lipid metabolism [J].

Ghazalpour, Anatole ;

Cespedes, Ivana ;

Bennett, Brian J. ;

Allayee, Hooman .

CURRENT OPINION IN LIPIDOLOGY, 2016, 27 (02) :141-147

[8] Alterations of Plasma Lysophosphatidylcholine Species in Obesity and Weight Loss [J].

Heimerl, Susanne ;

Fischer, Marcus ;

Baessler, Andrea ;

Liebisch, Gerhard ;

Sigruener, Alexander ;

Wallner, Stefan ;

Schmitz, Gerd .

PLOS ONE, 2014, 9 (10)

[9] Dietary Gut Microbial Metabolites, Short-chain Fatty Acids, and Host Metabolic Regulation [J].

Kasubuchi, Mayu ;

Hasegawa, Sae ;

Hiramatsu, Takero ;

Ichimura, Atsuhiko ;

Kimura, Ikuo .

NUTRIENTS, 2015, 7 (04) :2839-2849

[10] cutPrimers: A New Tool for Accurate Cutting of Primers from Reads of Targeted Next Generation Sequencing [J].

Kechin, Andrey ;

Boyarskikh, Uljana ;

Kel, Alexander ;

Filipenko, Maxim .

JOURNAL OF COMPUTATIONAL BIOLOGY, 2017, 24 (11) :1138-1143

← 1 2 3 4 →