Alterations of the Gut Microbiota and Metabolomics Associated with the Different Growth Performances of Macrobrachium rosenbergii Families

To investigate the key gut microbiota and metabolites associated with the growth performance of families, 16S rRNA sequencing and LC-MS metabolomic methods were used. In this study, 90 families were bred to evaluate growth performance. After 92 days of culture, high (H), medium (M), and low (L) expe...

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Published inAnimals (Basel) Vol. 13; no. 9; p. 1539
Main Authors Lan, Xuan, Peng, Xin, Du, Tingting, Xia, Zhenglong, Gao, Quanxin, Tang, Qiongying, Yi, Shaokui, Yang, Guoliang
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 04.05.2023
MDPI
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Summary:To investigate the key gut microbiota and metabolites associated with the growth performance of families, 16S rRNA sequencing and LC-MS metabolomic methods were used. In this study, 90 families were bred to evaluate growth performance. After 92 days of culture, high (H), medium (M), and low (L) experimental groups representing three levels of growth performance, respectively, were collected according to the weight gain and specific growth rate of families. The composition of gut microbiota showed that the relative abundance of Firmicutes, Lachnospiraceae, and were much higher in Group H than those in M and L groups. Meanwhile, compared to the M and L groups, Group H had significantly higher levels of spermidine, adenosine, and creatinine, and lower levels of L-citrulline. Correlation analysis showed that the abundances of and were positively correlated with the levels of alpha-ketoglutaric acid and L-arginine. The abundance of was also positively correlated with the levels of adenosine, taurine, and spermidine. Notably, lots of metabolites related to the metabolism and biosynthesis of arginine, taurine, hypotaurine, and fatty acid were upregulated in Group H. This study contributes to figuring out the landscape of the gut microbiota and metabolites associated with prawn growth performance and provides a basis for selective breeding.
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ISSN:2076-2615
2076-2615
DOI:10.3390/ani13091539