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Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat

Litter size (LS), an important economic trait in livestock, is so complicate that involves many aspects of reproduction, the underlying mechanism of which particularly in goat has always been scanty. To uncover the genetic basis of LS, the genomic sequence of Jining Gray goat groups (one famous bree...

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Autores principales: Wang, Jun-Jie, Zhang, Teng, Chen, Qiu-Ming, Zhang, Rui-Qian, Li, Lan, Cheng, Shun-Feng, Shen, Wei, Lei, Chu-Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113370/
https://www.ncbi.nlm.nih.gov/pubmed/32273886
http://dx.doi.org/10.3389/fgene.2020.00286
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author Wang, Jun-Jie
Zhang, Teng
Chen, Qiu-Ming
Zhang, Rui-Qian
Li, Lan
Cheng, Shun-Feng
Shen, Wei
Lei, Chu-Zhao
author_facet Wang, Jun-Jie
Zhang, Teng
Chen, Qiu-Ming
Zhang, Rui-Qian
Li, Lan
Cheng, Shun-Feng
Shen, Wei
Lei, Chu-Zhao
author_sort Wang, Jun-Jie
collection PubMed
description Litter size (LS), an important economic trait in livestock, is so complicate that involves many aspects of reproduction, the underlying mechanism of which particularly in goat has always been scanty. To uncover the genetic basis of LS, the genomic sequence of Jining Gray goat groups (one famous breed for high prolificacy in China) with LS 1, 2, and 3 for firstborn was analyzed, obtaining 563.67 Gb sequence data and a total of 31,864,651 high-quality single nucleotide polymorphisms loci were identified. Particularly, the increased heterozygosity in higher LS groups, and large continuous homozygous segments associated with lower LS group had been uncovered. Through an integrated analysis of three popular methods for detecting selective sweeps (Fst, nucleotide diversity, and Tajima’s D statistic), 111 selected regions and 42 genes associated with LS were scanned genome wide. The candidate genes with highest selective signatures included KIT, KCNH7, and KMT2E in LS2 and PAK1, PRKAA1, and SMAD9 in LS3 group, respectively. Meanwhile, functional terms of programmed cell death involved in cell development and regulation of insulin receptor signaling pathway were mostly enriched with 42 candidate genes, which also included reproduction related terms of steroid metabolic process and cellular response to hormone stimulus. In conclusion, our study identified novel candidate genes involving in regulation of LS in goat, which expand our understanding of genetic fundament of reproductive ability, and the novel insights regarding to LS would be potentially applied to improve reproductive performance.
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spelling pubmed-71133702020-04-09 Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat Wang, Jun-Jie Zhang, Teng Chen, Qiu-Ming Zhang, Rui-Qian Li, Lan Cheng, Shun-Feng Shen, Wei Lei, Chu-Zhao Front Genet Genetics Litter size (LS), an important economic trait in livestock, is so complicate that involves many aspects of reproduction, the underlying mechanism of which particularly in goat has always been scanty. To uncover the genetic basis of LS, the genomic sequence of Jining Gray goat groups (one famous breed for high prolificacy in China) with LS 1, 2, and 3 for firstborn was analyzed, obtaining 563.67 Gb sequence data and a total of 31,864,651 high-quality single nucleotide polymorphisms loci were identified. Particularly, the increased heterozygosity in higher LS groups, and large continuous homozygous segments associated with lower LS group had been uncovered. Through an integrated analysis of three popular methods for detecting selective sweeps (Fst, nucleotide diversity, and Tajima’s D statistic), 111 selected regions and 42 genes associated with LS were scanned genome wide. The candidate genes with highest selective signatures included KIT, KCNH7, and KMT2E in LS2 and PAK1, PRKAA1, and SMAD9 in LS3 group, respectively. Meanwhile, functional terms of programmed cell death involved in cell development and regulation of insulin receptor signaling pathway were mostly enriched with 42 candidate genes, which also included reproduction related terms of steroid metabolic process and cellular response to hormone stimulus. In conclusion, our study identified novel candidate genes involving in regulation of LS in goat, which expand our understanding of genetic fundament of reproductive ability, and the novel insights regarding to LS would be potentially applied to improve reproductive performance. Frontiers Media S.A. 2020-03-26 /pmc/articles/PMC7113370/ /pubmed/32273886 http://dx.doi.org/10.3389/fgene.2020.00286 Text en Copyright © 2020 Wang, Zhang, Chen, Zhang, Li, Cheng, Shen and Lei. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wang, Jun-Jie
Zhang, Teng
Chen, Qiu-Ming
Zhang, Rui-Qian
Li, Lan
Cheng, Shun-Feng
Shen, Wei
Lei, Chu-Zhao
Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
title Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
title_full Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
title_fullStr Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
title_full_unstemmed Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
title_short Genomic Signatures of Selection Associated With Litter Size Trait in Jining Gray Goat
title_sort genomic signatures of selection associated with litter size trait in jining gray goat
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113370/
https://www.ncbi.nlm.nih.gov/pubmed/32273886
http://dx.doi.org/10.3389/fgene.2020.00286
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