整合全基因组和全转录组关联研究,揭示牛瘤胃产甲烷过程中宿主与微生物组之间的相互作用

IF 23.7 Q1 MICROBIOLOGY iMeta Pub Date : 2024-09-03 DOI:10.1002/imt2.234
Wei Wang, Zhenyu Wei, Zhuohui Li, Jianrong Ren, Yanliang Song, Jingyi Xu, Anguo Liu, Xinmei Li, Manman Li, Huimei Fan, Liangliang Jin, Zhannur Niyazbekova, Wen Wang, Yuanpeng Gao, Yu Jiang, Junhu Yao, Fuyong Li, Shengru Wu, Yu Wang
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引用次数: 0

摘要

反刍动物的瘤胃微生物群会产生生物甲烷。然而,宿主遗传学在改变瘤胃微生物群介导的甲烷排放中的作用仍然是个谜,这严重阻碍了对这种臭名昭著的温室气体的排放控制。在这里,我们通过对 574 头荷斯坦牛的基因组、瘤胃转录组和微生物组数据进行匹配的全基因组和全转录组关联研究,揭示了瘤胃微生物的宿主遗传基础。遗传率估算显示,约 70% 的微生物类群具有显著的遗传率,但通过全基因组关联研究(GWAS),仅发现了 43 个与 22 个微生物类群有显著关联的遗传变异。相比之下,瘤胃微生物群的全转录组关联研究(TWAS)发现了 28,260 个重要的基因-微生物关联,涉及 210 个类群和 4652 个独特基因。平均而言,宿主遗传因素解释了微生物丰度变异的大约 28%,而瘤胃基因表达解释了 43%。此外,我们还强调了 TWAS 在检测直接效应器官的基因表达和表型性状关联方面的强大优势。对于产甲烷古细菌,GWAS 只检测到一个重要信号,而 TWAS 则获得了 1703 个重要的相关宿主基因。通过结合基于这些宿主 TWAS 基因、瘤胃微生物群和挥发性脂肪酸的多重相关分析,我们发现底物氢代谢是甲烷发生过程中宿主与微生物相互作用的一个重要因素。总之,这些发现为通过反刍动物基因调控和微生物管理策略减少甲烷排放提供了宝贵的指导。
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Integrating genome- and transcriptome-wide association studies to uncover the host–microbiome interactions in bovine rumen methanogenesis

The ruminal microbiota generates biogenic methane in ruminants. However, the role of host genetics in modifying ruminal microbiota-mediated methane emissions remains mysterious, which has severely hindered the emission control of this notorious greenhouse gas. Here, we uncover the host genetic basis of rumen microorganisms by genome- and transcriptome-wide association studies with matched genome, rumen transcriptome, and microbiome data from a cohort of 574 Holstein cattle. Heritability estimation revealed that approximately 70% of microbial taxa had significant heritability, but only 43 genetic variants with significant association with 22 microbial taxa were identified through a genome-wide association study (GWAS). In contrast, the transcriptome-wide association study (TWAS) of rumen microbiota detected 28,260 significant gene–microbe associations, involving 210 taxa and 4652 unique genes. On average, host genetic factors explained approximately 28% of the microbial abundance variance, while rumen gene expression explained 43%. In addition, we highlighted that TWAS exhibits a strong advantage in detecting gene expression and phenotypic trait associations in direct effector organs. For methanogenic archaea, only one significant signal was detected by GWAS, whereas the TWAS obtained 1703 significant associated host genes. By combining multiple correlation analyses based on these host TWAS genes, rumen microbiota, and volatile fatty acids, we observed that substrate hydrogen metabolism is an essential factor linking host–microbe interactions in methanogenesis. Overall, these findings provide valuable guidelines for mitigating methane emissions through genetic regulation and microbial management strategies in ruminants.

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