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Characterising genome architectures using genome decomposition analysis
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 Decomposit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131526/ https://www.ncbi.nlm.nih.gov/pubmed/35610562 http://dx.doi.org/10.1186/s12864-022-08616-3 |
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author | Aunin, Eerik Berriman, Matthew Reid, Adam James |
author_facet | Aunin, Eerik Berriman, Matthew Reid, Adam James |
author_sort | Aunin, Eerik |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08616-3. |
format | Online Article Text |
id | pubmed-9131526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91315262022-05-26 Characterising genome architectures using genome decomposition analysis Aunin, Eerik Berriman, Matthew Reid, Adam James BMC Genomics Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08616-3. BioMed Central 2022-05-25 /pmc/articles/PMC9131526/ /pubmed/35610562 http://dx.doi.org/10.1186/s12864-022-08616-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Aunin, Eerik Berriman, Matthew Reid, Adam James Characterising genome architectures using genome decomposition analysis |
title | Characterising genome architectures using genome decomposition analysis |
title_full | Characterising genome architectures using genome decomposition analysis |
title_fullStr | Characterising genome architectures using genome decomposition analysis |
title_full_unstemmed | Characterising genome architectures using genome decomposition analysis |
title_short | Characterising genome architectures using genome decomposition analysis |
title_sort | characterising genome architectures using genome decomposition analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131526/ https://www.ncbi.nlm.nih.gov/pubmed/35610562 http://dx.doi.org/10.1186/s12864-022-08616-3 |
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