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Genomic Mutations Within the Host Microbiome: Adaptive Evolution or Purifying Selection
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作者 Jiachao Zhang rob knight 《Engineering》 SCIE EI CAS CSCD 2023年第1期96-102,共7页
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 thos... 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. 展开更多
关键词 Gut microbiota Genomic mutations Adaptive evolution Purifying selection Single-nucleoti de variants
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Emerging Trends for Microbiome Analysis: From Single-Cell Functional Imaging to Microbiome Big Data 被引量:10
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作者 Jian xu Bo Ma +5 位作者 Xiaoquan Su Shi Huang Xin Xu Xuedong Zhou Wei Huang rob knight 《Engineering》 SCIE EI 2017年第1期66-70,共5页
Method development has always been and will continue to be a core driving force of microbiome science.In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by ... Method development has always been and will continue to be a core driving force of microbiome science.In this perspective, we argue that in the next decade, method development in microbiome analysis will be driven by three key changes in both ways of thinking and technological platforms:(1) a shift from dissecting microbiota structure by sequencing to tracking microbiota state, function, and intercellular interaction via imaging;(2) a shift from interrogating a consortium or population of cells to probing individual cells;and(3) a shift from microbiome data analysis to microbiome data science. Some of the recent methoddevelopment efforts by Chinese microbiome scientists and their international collaborators that underlie these technological trends are highlighted here. It is our belief that the China Microbiome Initiative has the opportunity to deliver outstanding 'Made-in-China' tools to the international research community, by building an ambitious, competitive, and collaborative program at the forefront of method development for microbiome science. 展开更多
关键词 微生物组 方法学创新 单细胞分析 大数据 中国微生物组计划
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