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Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences
Here, we aimed to identify and characterize genomic regions that differ between Groningen White Headed (GWH) breed and other cattle, and in particular to identify candidate genes associated with coat color and/or eye-protective phenotypes. Firstly, whole genome sequences of 170 animals from eight br...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605288/ https://www.ncbi.nlm.nih.gov/pubmed/36288367 http://dx.doi.org/10.1371/journal.pone.0276309 |
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author | Gonzalez-Prendes, Rayner Ginja, Catarina Kantanen, Juha Ghanem, Nasser Kugonza, Donald R. Makgahlela, Mahlako L. Groenen, Martien A. M. Crooijmans, Richard P. M. A. |
author_facet | Gonzalez-Prendes, Rayner Ginja, Catarina Kantanen, Juha Ghanem, Nasser Kugonza, Donald R. Makgahlela, Mahlako L. Groenen, Martien A. M. Crooijmans, Richard P. M. A. |
author_sort | Gonzalez-Prendes, Rayner |
collection | PubMed |
description | Here, we aimed to identify and characterize genomic regions that differ between Groningen White Headed (GWH) breed and other cattle, and in particular to identify candidate genes associated with coat color and/or eye-protective phenotypes. Firstly, whole genome sequences of 170 animals from eight breeds were used to evaluate the genetic structure of the GWH in relation to other cattle breeds by carrying out principal components and model-based clustering analyses. Secondly, the candidate genomic regions were identified by integrating the findings from: a) a genome-wide association study using GWH, other white headed breeds (Hereford and Simmental), and breeds with a non-white headed phenotype (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel, Dutch Belted, and Holstein Friesian); b) scans for specific signatures of selection in GWH cattle by comparison with four other Dutch traditional breeds (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel and Dutch Belted) and the commercial Holstein Friesian; and c) detection of candidate genes identified via these approaches. The alignment of the filtered reads to the reference genome (ARS-UCD1.2) resulted in a mean depth of coverage of 8.7X. After variant calling, the lowest number of breed-specific variants was detected in Holstein Friesian (148,213), and the largest in Deep Red (558,909). By integrating the results, we identified five genomic regions under selection on BTA4 (70.2–71.3 Mb), BTA5 (10.0–19.7 Mb), BTA20 (10.0–19.9 and 20.0–22.7 Mb), and BTA25 (0.5–9.2 Mb). These regions contain positional and functional candidate genes associated with retinal degeneration (e.g., CWC27 and CLUAP1), ultraviolet protection (e.g., ERCC8), and pigmentation (e.g. PDE4D) which are probably associated with the GWH specific pigmentation and/or eye-protective phenotypes, e.g. Ambilateral Circumocular Pigmentation (ACOP). Our results will assist in characterizing the molecular basis of GWH phenotypes and the biological implications of its adaptation. |
format | Online Article Text |
id | pubmed-9605288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96052882022-10-27 Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences Gonzalez-Prendes, Rayner Ginja, Catarina Kantanen, Juha Ghanem, Nasser Kugonza, Donald R. Makgahlela, Mahlako L. Groenen, Martien A. M. Crooijmans, Richard P. M. A. PLoS One Research Article Here, we aimed to identify and characterize genomic regions that differ between Groningen White Headed (GWH) breed and other cattle, and in particular to identify candidate genes associated with coat color and/or eye-protective phenotypes. Firstly, whole genome sequences of 170 animals from eight breeds were used to evaluate the genetic structure of the GWH in relation to other cattle breeds by carrying out principal components and model-based clustering analyses. Secondly, the candidate genomic regions were identified by integrating the findings from: a) a genome-wide association study using GWH, other white headed breeds (Hereford and Simmental), and breeds with a non-white headed phenotype (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel, Dutch Belted, and Holstein Friesian); b) scans for specific signatures of selection in GWH cattle by comparison with four other Dutch traditional breeds (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel and Dutch Belted) and the commercial Holstein Friesian; and c) detection of candidate genes identified via these approaches. The alignment of the filtered reads to the reference genome (ARS-UCD1.2) resulted in a mean depth of coverage of 8.7X. After variant calling, the lowest number of breed-specific variants was detected in Holstein Friesian (148,213), and the largest in Deep Red (558,909). By integrating the results, we identified five genomic regions under selection on BTA4 (70.2–71.3 Mb), BTA5 (10.0–19.7 Mb), BTA20 (10.0–19.9 and 20.0–22.7 Mb), and BTA25 (0.5–9.2 Mb). These regions contain positional and functional candidate genes associated with retinal degeneration (e.g., CWC27 and CLUAP1), ultraviolet protection (e.g., ERCC8), and pigmentation (e.g. PDE4D) which are probably associated with the GWH specific pigmentation and/or eye-protective phenotypes, e.g. Ambilateral Circumocular Pigmentation (ACOP). Our results will assist in characterizing the molecular basis of GWH phenotypes and the biological implications of its adaptation. Public Library of Science 2022-10-26 /pmc/articles/PMC9605288/ /pubmed/36288367 http://dx.doi.org/10.1371/journal.pone.0276309 Text en © 2022 Gonzalez-Prendes et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gonzalez-Prendes, Rayner Ginja, Catarina Kantanen, Juha Ghanem, Nasser Kugonza, Donald R. Makgahlela, Mahlako L. Groenen, Martien A. M. Crooijmans, Richard P. M. A. Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences |
title | Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences |
title_full | Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences |
title_fullStr | Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences |
title_full_unstemmed | Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences |
title_short | Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences |
title_sort | integrative qtl mapping and selection signatures in groningen white headed cattle inferred from whole-genome sequences |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605288/ https://www.ncbi.nlm.nih.gov/pubmed/36288367 http://dx.doi.org/10.1371/journal.pone.0276309 |
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