Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats

Abstract Pakistan is third largest country in term of goat population with distinct characteristics of breeds and estimated population of 78.2 million. Punjab province has 37% of country’s total population with seven important documented goat breeds namely Beetal, Daira Din Pannah, Nachi, Barbari, T...

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Main Authors: Muhammad Moaeen-ud-Din, Raja Danish Muner, Muhammad Sajjad Khan
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-14018-y
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author Muhammad Moaeen-ud-Din
Raja Danish Muner
Muhammad Sajjad Khan
author_facet Muhammad Moaeen-ud-Din
Raja Danish Muner
Muhammad Sajjad Khan
author_sort Muhammad Moaeen-ud-Din
collection DOAJ
description Abstract Pakistan is third largest country in term of goat population with distinct characteristics of breeds and estimated population of 78.2 million. Punjab province has 37% of country’s total population with seven important documented goat breeds namely Beetal, Daira Din Pannah, Nachi, Barbari, Teddi, Pahari and Pothwari. There is paucity of literature on GWAS for economically important traits i.e., body weight and morphometric measurements. Therefore, we performed GWAS using 50 K SNP Chip for growth in term of age adjusted body weight and morphometric measurements in order to identify genomic regions influencing these traits among Punjab goat breeds. Blood samples were collected from 879 unrelated animals of seven goat breeds along with data for body weight and morphometric measurements including body length, body height, pubic bone length, heart girth and chest length. Genomic DNA was extracted and genotyped using 50 K SNP bead chip. Association of genotypic data with the phenotypic data was performed using Plink 1.9 software. Linear mixed model was used for the association study. Genes were annotated from Capra hircus genome using assembly ARS1. We have identified a number of highly significant SNPs and respective candidate genes associated with growth and body conformation traits. The functional aspects of these candidate genes suggested their potential role in body growth. Moreover, pleiotropic effects were observed for some SNPs for body weight and conformation traits. The results of current study contributed to a better understanding of genes influencing growth and body conformation traits in goat.
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spelling doaj-art-a9aba7ec24524e3f912973be1fca5d1e2025-08-20T01:51:32ZengNature PortfolioScientific Reports2045-23222022-06-0112111210.1038/s41598-022-14018-yGenome wide association study identifies novel candidate genes for growth and body conformation traits in goatsMuhammad Moaeen-ud-Din0Raja Danish Muner1Muhammad Sajjad Khan2Department of Animal Breeding and Genetics, Faculty of Veterinary and Animal Sciences, PMAS-Arid Agriculture UniversityDepartment of Animal Breeding and Genetics, Faculty of Veterinary and Animal Sciences, PMAS-Arid Agriculture UniversityCholistan University of Veterinary and Animal SciencesAbstract Pakistan is third largest country in term of goat population with distinct characteristics of breeds and estimated population of 78.2 million. Punjab province has 37% of country’s total population with seven important documented goat breeds namely Beetal, Daira Din Pannah, Nachi, Barbari, Teddi, Pahari and Pothwari. There is paucity of literature on GWAS for economically important traits i.e., body weight and morphometric measurements. Therefore, we performed GWAS using 50 K SNP Chip for growth in term of age adjusted body weight and morphometric measurements in order to identify genomic regions influencing these traits among Punjab goat breeds. Blood samples were collected from 879 unrelated animals of seven goat breeds along with data for body weight and morphometric measurements including body length, body height, pubic bone length, heart girth and chest length. Genomic DNA was extracted and genotyped using 50 K SNP bead chip. Association of genotypic data with the phenotypic data was performed using Plink 1.9 software. Linear mixed model was used for the association study. Genes were annotated from Capra hircus genome using assembly ARS1. We have identified a number of highly significant SNPs and respective candidate genes associated with growth and body conformation traits. The functional aspects of these candidate genes suggested their potential role in body growth. Moreover, pleiotropic effects were observed for some SNPs for body weight and conformation traits. The results of current study contributed to a better understanding of genes influencing growth and body conformation traits in goat.https://doi.org/10.1038/s41598-022-14018-y
spellingShingle Muhammad Moaeen-ud-Din
Raja Danish Muner
Muhammad Sajjad Khan
Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
Scientific Reports
title Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
title_full Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
title_fullStr Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
title_full_unstemmed Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
title_short Genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
title_sort genome wide association study identifies novel candidate genes for growth and body conformation traits in goats
url https://doi.org/10.1038/s41598-022-14018-y
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