微生物群
生物
共同进化
计算生物学
寄主(生物学)
DNA测序
进化生物学
遗传学
基因组
人体微生物群
选择(遗传算法)
基因
人工智能
计算机科学
作者
Jiachao Zhang,Rob Knight
出处
期刊:Engineering
[Elsevier BV]
日期:2023-01-01
卷期号:20: 96-102
被引量:5
标识
DOI:10.1016/j.eng.2021.11.018
摘要
Next-generation sequencing technology has transformed our ability to assess the taxonomic composition functions of host-associated microbiota and microbiomes. More human microbiome research projects—particularly those that explore genomic mutations within the microbiome—will be launched in the next decade. This review focuses on the coevolution of microbes within a microbiome, which shapes strain-level diversity both within and between host species. We also explore the correlation between microbial genomic mutations and common metabolic diseases, and the adaptive evolution of pathogens and probiotics during invasion and colonization. Finally, we discuss advances in methods and algorithms for annotating and analyzing microbial genomic mutations.
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