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人类基因中的肠道微生物群组成与拷贝数变异之间的关联以及…… (原文最后“and.”表述不完整,可能影响准确理解完整意思)

Association between Gut Microbiota Composition and Copy Number Variations in Human Genes and .

作者信息

Wang Jing, Guo Haoyu, Qi Weiwei, Qiao Zhenyi

机构信息

Shanghai Key Laboratory of Bio-Energy Crops, School of Life Sciences, Shanghai University, Shanghai 200444, P.R. China.

State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd., Shanghai 200436, P.R. China.

出版信息

J Microbiol Biotechnol. 2025 Jul 14;35:e2504011. doi: 10.4014/jmb.2504.04011.

DOI:10.4014/jmb.2504.04011
PMID:40659563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12283257/
Abstract

The impact of the gut microbiota on human health has attracted increasing attention. However, the factors affecting the gut microbiota need more in-depth research. In this work, we analyzed the impact of the gut microbiota at the genetic levels, mainly gene copy number variations (CNVs). We used Permutational Multivariate Analysis of Variance (PERMANOVA, Adonis) analysis to assess the association between CNVs and the gut microbiota. The results showed that copy numbers of 50 genes varied among the cohort. Among them, the CNVs of 7 genes, including , , , , , and , were related to the gut microbiota. In addition, among these genes, we systematically analyzed the relationship between CNVs of and with the gut microbiota. We hypothesize that there exists a certain association between genetic information in the human genome (such as CNVs) and human behavior as well as gut microbiota.

摘要

肠道微生物群对人类健康的影响已引起越来越多的关注。然而,影响肠道微生物群的因素需要更深入的研究。在这项工作中,我们在基因水平上分析了肠道微生物群的影响,主要是基因拷贝数变异(CNV)。我们使用置换多元方差分析(PERMANOVA,Adonis)来评估CNV与肠道微生物群之间的关联。结果显示,50个基因的拷贝数在该队列中存在差异。其中,包括 、 、 、 、 、 和 在内的7个基因的CNV与肠道微生物群有关。此外,在这些基因中,我们系统地分析了 和 的CNV与肠道微生物群之间的关系。我们假设人类基因组中的遗传信息(如CNV)与人类行为以及肠道微生物群之间存在某种关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/f420d0832bdb/jmb-35-e2504011-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/1be2373c7696/jmb-35-e2504011-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/a8ec59193230/jmb-35-e2504011-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/971bdd8f10bf/jmb-35-e2504011-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/0a4dbc3a3b29/jmb-35-e2504011-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/f420d0832bdb/jmb-35-e2504011-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/1be2373c7696/jmb-35-e2504011-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/a8ec59193230/jmb-35-e2504011-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/971bdd8f10bf/jmb-35-e2504011-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/0a4dbc3a3b29/jmb-35-e2504011-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a374/12283257/f420d0832bdb/jmb-35-e2504011-f5.jpg

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