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微生物实验进化的最佳实践:使用报告基因和长读测序鉴定实验进化中的拷贝数变异。

Best Practices in Microbial Experimental Evolution: Using Reporters and Long-Read Sequencing to Identify Copy Number Variation in Experimental Evolution.

机构信息

Department of Biology, New York University, New York, NY, 10003, USA.

Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.

出版信息

J Mol Evol. 2023 Jun;91(3):356-368. doi: 10.1007/s00239-023-10102-7. Epub 2023 Apr 3.

Abstract

Copy number variants (CNVs), comprising gene amplifications and deletions, are a pervasive class of heritable variation. CNVs play a key role in rapid adaptation in both natural, and experimental, evolution. However, despite the advent of new DNA sequencing technologies, detection and quantification of CNVs in heterogeneous populations has remained challenging. Here, we summarize recent advances in the use of CNV reporters that provide a facile means of quantifying de novo CNVs at a specific locus in the genome, and nanopore sequencing, for resolving the often complex structures of CNVs. We provide guidance for the engineering and analysis of CNV reporters and practical guidelines for single-cell analysis of CNVs using flow cytometry. We summarize recent advances in nanopore sequencing, discuss the utility of this technology, and provide guidance for the bioinformatic analysis of these data to define the molecular structure of CNVs. The combination of reporter systems for tracking and isolating CNV lineages and long-read DNA sequencing for characterizing CNV structures enables unprecedented resolution of the mechanisms by which CNVs are generated and their evolutionary dynamics.

摘要

拷贝数变异 (CNVs),包括基因扩增和缺失,是一类普遍存在的遗传变异。CNVs 在自然和实验进化中的快速适应中起着关键作用。然而,尽管出现了新的 DNA 测序技术,但在异质人群中检测和量化 CNVs 仍然具有挑战性。在这里,我们总结了使用 CNV 报告基因的最新进展,这些报告基因提供了一种简便的方法来定量基因组特定基因座上的新 CNVs,以及纳米孔测序,用于解析 CNVs 经常复杂的结构。我们为 CNV 报告基因的工程和分析提供了指导,并为使用流式细胞术对 CNVs 进行单细胞分析提供了实用指南。我们总结了纳米孔测序的最新进展,讨论了该技术的实用性,并为分析这些数据以定义 CNVs 的分子结构提供了生物信息学分析的指导。用于跟踪和分离 CNV 谱系的报告基因系统与用于表征 CNV 结构的长读 DNA 测序相结合,使我们能够以前所未有的分辨率了解 CNVs 的产生机制及其进化动态。

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