基于 MCScanX 的共线性块检测、同线性分析和进化分析。
Detection of colinear blocks and synteny and evolutionary analyses based on utilization of MCScanX.
机构信息
BDX Research & Consulting LLC, Herndon, VA, USA.
Plant Genome Mapping Laboratory, The University of Georgia, Athens, GA, USA.
出版信息
Nat Protoc. 2024 Jul;19(7):2206-2229. doi: 10.1038/s41596-024-00968-2. Epub 2024 Mar 15.
As different taxa evolve, gene order often changes slowly enough that chromosomal 'blocks' with conserved gene orders (synteny) are discernible. The MCScanX toolkit ( https://github.com/wyp1125/MCScanX ) was published in 2012 as freely available software for the detection of such 'colinear blocks' and subsequent synteny and evolutionary analyses based on genome-wide gene location and protein sequence information. Owing to its simplicity and high efficiency for colinear block detection, MCScanX provides a powerful tool for conducting diverse synteny and evolutionary analyses. Moreover, the detection of colinear blocks has been embraced as an integral step for pangenome graph construction. Here, new application trends of MCScanX are explored, striving to better connect this increasingly used tool to other tools and accelerate insight generation from exponentially growing sequence data. We provide a detailed protocol that covers how to install MCScanX on diverse platforms, tune parameters, prepare input files from data from the National Center for Biotechnology Information, run MCScanX and its visualization and evolutionary analysis tools, and connect MCScanX with external tools, including MCScanX-transposed, Circos and SynVisio. This protocol is easily implemented by users with minimal computational background and is adaptable to new data of interest to them. The data and utility programs for this protocol can be obtained from http://bdx-consulting.com/mcscanx-protocol .
随着不同分类单元的进化,基因的排列顺序通常变化得非常缓慢,以至于染色体上具有保守基因顺序(同线性)的“块”是可以识别的。MCScanX 工具包(https://github.com/wyp1125/MCScanX)于 2012 年发布,是一款免费的软件,用于检测此类“共线性块”,并根据基因组范围内的基因位置和蛋白质序列信息进行同线性和进化分析。由于其共线性块检测的简单性和高效性,MCScanX 为进行各种同线性和进化分析提供了强大的工具。此外,共线性块的检测已被纳入泛基因组图构建的一个基本步骤。在这里,探索了 MCScanX 的新应用趋势,努力更好地将这个越来越多被使用的工具与其他工具联系起来,并加速从指数级增长的序列数据中生成洞察力。我们提供了一个详细的协议,涵盖了如何在不同的平台上安装 MCScanX、调整参数、从国家生物技术信息中心的数据中准备输入文件、运行 MCScanX 及其可视化和进化分析工具,以及将 MCScanX 与外部工具(包括 MCScanX-transposed、Circos 和 SynVisio)连接起来。这个协议可以由具有最小计算背景的用户轻松实施,并可以适应他们感兴趣的新数据。这个协议的数据和实用程序可以从 http://bdx-consulting.com/mcscanx-protocol 获得。