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利用基因组分解分析刻画基因组结构。

Characterising genome architectures using genome decomposition analysis.

机构信息

Wellcome Sanger Institute, Cambridge, CB10 1SA, UK.

Wellcome Centre for Integrative Parasitology, University of Glasgow, G12 8TA, Glasgow, UK.

出版信息

BMC Genomics. 2022 May 25;23(1):398. doi: 10.1186/s12864-022-08616-3.

DOI:10.1186/s12864-022-08616-3
PMID:35610562
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9131526/
Abstract

Genome architecture describes how genes and other features are arranged in genomes. These arrangements reflect the evolutionary pressures on genomes and underlie biological processes such as chromosomal segregation and the regulation of gene expression. We present a new tool called Genome Decomposition Analysis (GDA) that characterises genome architectures and acts as an accessible approach for discovering hidden features of a genome assembly. With the imminent deluge of high-quality genome assemblies from projects such as the Darwin Tree of Life and the Earth BioGenome Project, GDA has been designed to facilitate their exploration and the discovery of novel genome biology. We highlight the effectiveness of our approach in characterising the genome architectures of single-celled eukaryotic parasites from the phylum Apicomplexa and show that it scales well to large genomes.

摘要

基因组结构描述了基因和其他特征在基因组中的排列方式。这些排列反映了基因组所面临的进化压力,是染色体分离和基因表达调控等生物学过程的基础。我们提出了一种新的工具,称为基因组分解分析(GDA),它可以描述基因组结构,并作为一种易于使用的方法来发现基因组组装的隐藏特征。随着来自达尔文生命之树和地球生物基因组计划等项目的高质量基因组组装的大量涌现,GDA 旨在促进对它们的探索和新的基因组生物学的发现。我们强调了我们的方法在描述质体门单细胞真核寄生虫基因组结构方面的有效性,并表明它可以很好地扩展到大型基因组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/62224ed48028/12864_2022_8616_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/791c0648332a/12864_2022_8616_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/4020c1b306f6/12864_2022_8616_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/c7cdc189b5af/12864_2022_8616_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/73fa977925f6/12864_2022_8616_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/62224ed48028/12864_2022_8616_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/791c0648332a/12864_2022_8616_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/2535dd7efd62/12864_2022_8616_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/9e2b1ba135e2/12864_2022_8616_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/4020c1b306f6/12864_2022_8616_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/c7cdc189b5af/12864_2022_8616_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/73fa977925f6/12864_2022_8616_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb3/9131526/62224ed48028/12864_2022_8616_Fig7_HTML.jpg

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