遗传变异和功能:揭示与微生物表型相关的潜在因素。

Xiaolin Liu, Yue Ma, Jun Wang
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引用次数: 1

摘要

测序技术的创新产生了大量微生物和宿主基因组数据,使检测这些遗传变异和分析受其影响的功能成为可能。近年来,许多研究通过关联或比较分析将这些遗传变异与表型联系起来,这进一步提高了我们对多种微生物功能的认识。本文综述了关联分析在结核分枝杆菌等微生物中的应用,重点是筛选可能与耐药、发病机制和新药物靶点等表型相关的微生物遗传变异;综述了其他比较基因组学或转录组学方法在鉴定微生物功能相关遗传因素方面的应用;扩大了我们的研究范围,重点关注与某些微生物或微生物组相关的宿主遗传因素,总结了最近与微生物表型相关的宿主遗传变异,包括感染HIV后的易感性和负荷,不同分类群的存在/缺失,微生物组的数量性状,最后讨论了可能遇到的挑战和明显或潜在的可行解决方案。微生物和微生物组的基因功能分析仍处于起步阶段,为了充分发挥其潜力,有必要了解其历史,现状以及阻碍其发展的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Genetic variation and function: revealing potential factors associated with microbial phenotypes.

Innovations in sequencing technology have generated voluminous microbial and host genomic data, making it possible to detect these genetic variations and analyze the function influenced by them. Recently, many studies have linked such genetic variations to phenotypes through association or comparative analysis, which have further advanced our understanding of multiple microbial functions. In this review, we summarized the application of association analysis in microbes like Mycobacterium tuberculosis, focusing on screening of microbial genetic variants potentially associated with phenotypes such as drug resistance, pathogenesis and novel drug targets etc.; reviewed the application of additional comparative genomic or transcriptomic methods to identify genetic factors associated with functions in microbes; expanded the scope of our study to focus on host genetic factors associated with certain microbes or microbiome and summarized the recent host genetic variations associated with microbial phenotypes, including susceptibility and load after infection of HIV, presence/absence of different taxa, and quantitative traits of microbiome, and lastly, discussed the challenges that may be encountered and the apparent or potential viable solutions. Gene-function analysis of microbe and microbiome is still in its infancy, and in order to unleash its full potential, it is necessary to understand its history, current status, and the challenges hindering its development.

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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
117
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