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CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species
Living species vary significantly in phenotype and genomic content. Sophisticated statistical methods linking genes with phenotypes within a species have led to breakthroughs in complex genetic diseases and genetic breeding. Despite the abundance of genomic and phenotypic data available for thousand...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318336/ https://www.ncbi.nlm.nih.gov/pubmed/37409050 http://dx.doi.org/10.1016/j.patter.2023.100728 |
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author | Hongo, Jorge Augusto de Castro, Giovanni Marques Albuquerque Menezes, Alison Pelri Rios Picorelli, Agnello César Martins da Silva, Thieres Tayroni Imada, Eddie Luidy Marchionni, Luigi Del-Bem, Luiz-Eduardo Vieira Chaves, Anderson Almeida, Gabriel Magno de Freitas Campelo, Felipe Lobo, Francisco Pereira |
author_facet | Hongo, Jorge Augusto de Castro, Giovanni Marques Albuquerque Menezes, Alison Pelri Rios Picorelli, Agnello César Martins da Silva, Thieres Tayroni Imada, Eddie Luidy Marchionni, Luigi Del-Bem, Luiz-Eduardo Vieira Chaves, Anderson Almeida, Gabriel Magno de Freitas Campelo, Felipe Lobo, Francisco Pereira |
author_sort | Hongo, Jorge Augusto |
collection | PubMed |
description | Living species vary significantly in phenotype and genomic content. Sophisticated statistical methods linking genes with phenotypes within a species have led to breakthroughs in complex genetic diseases and genetic breeding. Despite the abundance of genomic and phenotypic data available for thousands of species, finding genotype-phenotype associations across species is challenging due to the non-independence of species data resulting from common ancestry. To address this, we present CALANGO (comparative analysis with annotation-based genomic components), a phylogeny-aware comparative genomics tool to find homologous regions and biological roles associated with quantitative phenotypes across species. In two case studies, CALANGO identified both known and previously unidentified genotype-phenotype associations. The first study revealed unknown aspects of the ecological interaction between Escherichia coli, its integrated bacteriophages, and the pathogenicity phenotype. The second identified an association between maximum height in angiosperms and the expansion of a reproductive mechanism that prevents inbreeding and increases genetic diversity, with implications for conservation biology and agriculture. |
format | Online Article Text |
id | pubmed-10318336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103183362023-07-05 CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species Hongo, Jorge Augusto de Castro, Giovanni Marques Albuquerque Menezes, Alison Pelri Rios Picorelli, Agnello César Martins da Silva, Thieres Tayroni Imada, Eddie Luidy Marchionni, Luigi Del-Bem, Luiz-Eduardo Vieira Chaves, Anderson Almeida, Gabriel Magno de Freitas Campelo, Felipe Lobo, Francisco Pereira Patterns (N Y) Descriptor Living species vary significantly in phenotype and genomic content. Sophisticated statistical methods linking genes with phenotypes within a species have led to breakthroughs in complex genetic diseases and genetic breeding. Despite the abundance of genomic and phenotypic data available for thousands of species, finding genotype-phenotype associations across species is challenging due to the non-independence of species data resulting from common ancestry. To address this, we present CALANGO (comparative analysis with annotation-based genomic components), a phylogeny-aware comparative genomics tool to find homologous regions and biological roles associated with quantitative phenotypes across species. In two case studies, CALANGO identified both known and previously unidentified genotype-phenotype associations. The first study revealed unknown aspects of the ecological interaction between Escherichia coli, its integrated bacteriophages, and the pathogenicity phenotype. The second identified an association between maximum height in angiosperms and the expansion of a reproductive mechanism that prevents inbreeding and increases genetic diversity, with implications for conservation biology and agriculture. Elsevier 2023-04-14 /pmc/articles/PMC10318336/ /pubmed/37409050 http://dx.doi.org/10.1016/j.patter.2023.100728 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Descriptor Hongo, Jorge Augusto de Castro, Giovanni Marques Albuquerque Menezes, Alison Pelri Rios Picorelli, Agnello César Martins da Silva, Thieres Tayroni Imada, Eddie Luidy Marchionni, Luigi Del-Bem, Luiz-Eduardo Vieira Chaves, Anderson Almeida, Gabriel Magno de Freitas Campelo, Felipe Lobo, Francisco Pereira CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
title | CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
title_full | CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
title_fullStr | CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
title_full_unstemmed | CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
title_short | CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
title_sort | calango: a phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species |
topic | Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318336/ https://www.ncbi.nlm.nih.gov/pubmed/37409050 http://dx.doi.org/10.1016/j.patter.2023.100728 |
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