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Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes
The homologous recombination repair (HRR) pathway repairs DNA double-strand breaks in an error-free manner. Mutations in HRR genes can result in increased mutation rate and genomic rearrangements, and are associated with numerous genetic disorders and cancer. Despite intensive research, the HRR path...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396423/ https://www.ncbi.nlm.nih.gov/pubmed/30718334 http://dx.doi.org/10.1101/gr.241414.118 |
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author | Sherill-Rofe, Dana Rahat, Dolev Findlay, Steven Mellul, Anna Guberman, Irene Braun, Maya Bloch, Idit Lalezari, Alon Samiei, Arash Sadreyev, Ruslan Goldberg, Michal Orthwein, Alexandre Zick, Aviad Tabach, Yuval |
author_facet | Sherill-Rofe, Dana Rahat, Dolev Findlay, Steven Mellul, Anna Guberman, Irene Braun, Maya Bloch, Idit Lalezari, Alon Samiei, Arash Sadreyev, Ruslan Goldberg, Michal Orthwein, Alexandre Zick, Aviad Tabach, Yuval |
author_sort | Sherill-Rofe, Dana |
collection | PubMed |
description | The homologous recombination repair (HRR) pathway repairs DNA double-strand breaks in an error-free manner. Mutations in HRR genes can result in increased mutation rate and genomic rearrangements, and are associated with numerous genetic disorders and cancer. Despite intensive research, the HRR pathway is not yet fully mapped. Phylogenetic profiling analysis, which detects functional linkage between genes using coevolution, is a powerful approach to identify factors in many pathways. Nevertheless, phylogenetic profiling has limited predictive power when analyzing pathways with complex evolutionary dynamics such as the HRR. To map novel HRR genes systematically, we developed clade phylogenetic profiling (CladePP). CladePP detects local coevolution across hundreds of genomes and points to the evolutionary scale (e.g., mammals, vertebrates, animals, plants) at which coevolution occurred. We found that multiscale coevolution analysis is significantly more biologically relevant and sensitive to detect gene function. By using CladePP, we identified dozens of unrecognized genes that coevolved with the HRR pathway, either globally across all eukaryotes or locally in different clades. We validated eight genes in functional biological assays to have a role in DNA repair at both the cellular and organismal levels. These genes are expected to play a role in the HRR pathway and might lead to a better understanding of missing heredity in HRR-associated cancers (e.g., heredity breast and ovarian cancer). Our platform presents an innovative approach to predict gene function, identify novel factors related to different diseases and pathways, and characterize gene evolution. |
format | Online Article Text |
id | pubmed-6396423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63964232019-09-01 Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes Sherill-Rofe, Dana Rahat, Dolev Findlay, Steven Mellul, Anna Guberman, Irene Braun, Maya Bloch, Idit Lalezari, Alon Samiei, Arash Sadreyev, Ruslan Goldberg, Michal Orthwein, Alexandre Zick, Aviad Tabach, Yuval Genome Res Method The homologous recombination repair (HRR) pathway repairs DNA double-strand breaks in an error-free manner. Mutations in HRR genes can result in increased mutation rate and genomic rearrangements, and are associated with numerous genetic disorders and cancer. Despite intensive research, the HRR pathway is not yet fully mapped. Phylogenetic profiling analysis, which detects functional linkage between genes using coevolution, is a powerful approach to identify factors in many pathways. Nevertheless, phylogenetic profiling has limited predictive power when analyzing pathways with complex evolutionary dynamics such as the HRR. To map novel HRR genes systematically, we developed clade phylogenetic profiling (CladePP). CladePP detects local coevolution across hundreds of genomes and points to the evolutionary scale (e.g., mammals, vertebrates, animals, plants) at which coevolution occurred. We found that multiscale coevolution analysis is significantly more biologically relevant and sensitive to detect gene function. By using CladePP, we identified dozens of unrecognized genes that coevolved with the HRR pathway, either globally across all eukaryotes or locally in different clades. We validated eight genes in functional biological assays to have a role in DNA repair at both the cellular and organismal levels. These genes are expected to play a role in the HRR pathway and might lead to a better understanding of missing heredity in HRR-associated cancers (e.g., heredity breast and ovarian cancer). Our platform presents an innovative approach to predict gene function, identify novel factors related to different diseases and pathways, and characterize gene evolution. Cold Spring Harbor Laboratory Press 2019-03 /pmc/articles/PMC6396423/ /pubmed/30718334 http://dx.doi.org/10.1101/gr.241414.118 Text en © 2019 Sherill-Rofe et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Method Sherill-Rofe, Dana Rahat, Dolev Findlay, Steven Mellul, Anna Guberman, Irene Braun, Maya Bloch, Idit Lalezari, Alon Samiei, Arash Sadreyev, Ruslan Goldberg, Michal Orthwein, Alexandre Zick, Aviad Tabach, Yuval Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
title | Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
title_full | Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
title_fullStr | Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
title_full_unstemmed | Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
title_short | Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
title_sort | mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396423/ https://www.ncbi.nlm.nih.gov/pubmed/30718334 http://dx.doi.org/10.1101/gr.241414.118 |
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