Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens.


Journal

Genetics, selection, evolution : GSE
ISSN: 1297-9686
Titre abrégé: Genet Sel Evol
Pays: France
ID NLM: 9114088

Informations de publication

Date de publication:
23 Mar 2023
Historique:
received: 08 07 2022
accepted: 21 02 2023
entrez: 24 3 2023
pubmed: 25 3 2023
medline: 28 3 2023
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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.

Identifiants

pubmed: 36959552
doi: 10.1186/s12711-023-00790-6
pii: 10.1186/s12711-023-00790-6
pmc: PMC10035218
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20

Informations de copyright

© 2023. The Author(s).

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Auteurs

Salvatore Mastrangelo (S)

Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy.

Slim Ben-Jemaa (S)

Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, 2049, Ariana, Tunisia.

Francesco Perini (F)

Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy.
Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy.

Filippo Cendron (F)

Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy. filippo.cendron@unipd.it.

Filippo Biscarini (F)

Institute of Agricultural Biology and Biotechnology (IBBA), National Research Council (CNR), 20133, Milan, Italy.

Emiliano Lasagna (E)

Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy.

Mauro Penasa (M)

Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy.

Martino Cassandro (M)

Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy.
Federazione delle Associazioni Nazionali di Razza e Specie, 00187, Rome, Italy.

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