Cargando…
Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens
BACKGROUND: Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this study, SNP data from the 600 K Affymetrix chicken array were used to detect signatu...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035218/ https://www.ncbi.nlm.nih.gov/pubmed/36959552 http://dx.doi.org/10.1186/s12711-023-00790-6 |
_version_ | 1784911372401770496 |
---|---|
author | Mastrangelo, Salvatore Ben-Jemaa, Slim Perini, Francesco Cendron, Filippo Biscarini, Filippo Lasagna, Emiliano Penasa, Mauro Cassandro, Martino |
author_facet | Mastrangelo, Salvatore Ben-Jemaa, Slim Perini, Francesco Cendron, Filippo Biscarini, Filippo Lasagna, Emiliano Penasa, Mauro Cassandro, Martino |
author_sort | Mastrangelo, Salvatore |
collection | PubMed |
description | BACKGROUND: Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this study, SNP data from the 600 K Affymetrix chicken array were used to detect signatures of selection in 23 local Italian chicken populations. The populations were categorized into four groups for comparative analysis based on live weight (heavy vs light) and geographical area (Northern vs Southern Italy). Putative signatures of selection were investigated by combining three extended haplotype homozygosity (EHH) statistical approaches to quantify excess of haplotype homozygosity within (iHS) and between (Rsb and XP-EHH) groups. Presence of runs of homozygosity (ROH) islands was also analysed for each group. RESULTS: After editing, 541 animals and 313,508 SNPs were available for statistical analyses. In total, 15 candidate genomic regions that are potentially under selection were detected among the four groups: eight within a group by iHS and seven by combining the results of Rsb and XP-EHH, which revealed divergent selection between the groups. The largest overlap between genomic regions identified to be under selection by the three approaches was on chicken chromosome 8. Twenty-one genomic regions were identified with the ROH approach but none of these overlapped with regions identified with the three EHH-derived statistics. Some of the identified regions under selection contained candidate genes with biological functions related to environmental stress, immune responses, and disease resistance, which indicate local adaptation of these chicken populations. CONCLUSIONS: Compared to commercial lines, local populations are predominantly reared as backyard chickens, and thus, may have developed stronger resistance to environmental challenges. Our results indicate that selection can play an important role in shaping signatures of selection in local chicken populations and can be a starting point to identify gene mutations that could have a useful role with respect to climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-023-00790-6. |
format | Online Article Text |
id | pubmed-10035218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100352182023-03-24 Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens Mastrangelo, Salvatore Ben-Jemaa, Slim Perini, Francesco Cendron, Filippo Biscarini, Filippo Lasagna, Emiliano Penasa, Mauro Cassandro, Martino Genet Sel Evol Research Article BACKGROUND: Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this study, SNP data from the 600 K Affymetrix chicken array were used to detect signatures of selection in 23 local Italian chicken populations. The populations were categorized into four groups for comparative analysis based on live weight (heavy vs light) and geographical area (Northern vs Southern Italy). Putative signatures of selection were investigated by combining three extended haplotype homozygosity (EHH) statistical approaches to quantify excess of haplotype homozygosity within (iHS) and between (Rsb and XP-EHH) groups. Presence of runs of homozygosity (ROH) islands was also analysed for each group. RESULTS: After editing, 541 animals and 313,508 SNPs were available for statistical analyses. In total, 15 candidate genomic regions that are potentially under selection were detected among the four groups: eight within a group by iHS and seven by combining the results of Rsb and XP-EHH, which revealed divergent selection between the groups. The largest overlap between genomic regions identified to be under selection by the three approaches was on chicken chromosome 8. Twenty-one genomic regions were identified with the ROH approach but none of these overlapped with regions identified with the three EHH-derived statistics. Some of the identified regions under selection contained candidate genes with biological functions related to environmental stress, immune responses, and disease resistance, which indicate local adaptation of these chicken populations. CONCLUSIONS: Compared to commercial lines, local populations are predominantly reared as backyard chickens, and thus, may have developed stronger resistance to environmental challenges. Our results indicate that selection can play an important role in shaping signatures of selection in local chicken populations and can be a starting point to identify gene mutations that could have a useful role with respect to climate change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-023-00790-6. BioMed Central 2023-03-23 /pmc/articles/PMC10035218/ /pubmed/36959552 http://dx.doi.org/10.1186/s12711-023-00790-6 Text en © The Author(s) 2023 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 Article Mastrangelo, Salvatore Ben-Jemaa, Slim Perini, Francesco Cendron, Filippo Biscarini, Filippo Lasagna, Emiliano Penasa, Mauro Cassandro, Martino Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
title | Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
title_full | Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
title_fullStr | Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
title_full_unstemmed | Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
title_short | Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
title_sort | genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035218/ https://www.ncbi.nlm.nih.gov/pubmed/36959552 http://dx.doi.org/10.1186/s12711-023-00790-6 |
work_keys_str_mv | AT mastrangelosalvatore genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT benjemaaslim genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT perinifrancesco genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT cendronfilippo genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT biscarinifilippo genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT lasagnaemiliano genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT penasamauro genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens AT cassandromartino genomewidemappingofsignaturesofselectionusingahighdensityarrayidentifiedcandidategenesforgrowthtraitsandlocaladaptationinchickens |