Cargando…

Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle

The premises for the potential success of molecular breeding is the ability to identify major genes associated with important dairy related traits. The present study was taken up with the objectives to identify single nucleotide polymorphism (SNP) of bovine MASP2 and SIRT1 genes and its effect on es...

Descripción completa

Detalles Bibliográficos
Autores principales: Worku, Destaw, Gowane, Gopal, Alex, Rani, Joshi, Pooja, Verma, Archana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126386/
https://www.ncbi.nlm.nih.gov/pubmed/35604915
http://dx.doi.org/10.1371/journal.pone.0267800
_version_ 1784712117524365312
author Worku, Destaw
Gowane, Gopal
Alex, Rani
Joshi, Pooja
Verma, Archana
author_facet Worku, Destaw
Gowane, Gopal
Alex, Rani
Joshi, Pooja
Verma, Archana
author_sort Worku, Destaw
collection PubMed
description The premises for the potential success of molecular breeding is the ability to identify major genes associated with important dairy related traits. The present study was taken up with the objectives to identify single nucleotide polymorphism (SNP) of bovine MASP2 and SIRT1 genes and its effect on estimated breeding values (EBVs) and to estimate genetic parameters for lactation milk yield (LMY), 305-day milk yield (305dMY), 305-day fat yield (305dFY), 305-day solid not fat yield (305dSNFY) and lactation length (LL) in Sahiwal dairy cattle to devise a promising improvement strategy. Genetic parameters and breeding values of milk production traits were estimated from 935 Sahiwal cattle population (1979–2019) reared at National Dairy Research Institute at Karnal, India. A total of 7 SNPs, where one SNP (g.499C>T) in exon 2 and four SNPs (g.576G>A, g.609T>C, g.684G>T and g.845A>G) in exon 3 region of MASP2 gene and 2 SNPs (g.-306T>C and g.-274G>C) in the promoter region of SIRT1 gene were identified in Sahiwal cattle population. Five of these identified SNPs were chosen for further genotyping by PCR-RFLP and association analysis. Association analysis was performed using estimated breeding values (n = 150) to test the effect of SNPs on LMY, 305dMY, 305dFY, 305dSNFY and LL. Association analysis revealed that, three SNP markers (g.499C>T, g.609T>C and g.-306T>C) were significantly associated with all milk yield traits. The estimates for heritability using repeatability model for LMY, 305dMY, 305dFY, 305dSNFY and LL were low, however the corresponding estimates from first parity were 0.20±0.08, 0.17±0.08, 0.13±0.09, 0.13±0.09 and 0.24, respectively. The repeatability estimates were moderate to high indicating consistency of performance over the parities and hence reliability of first lactation traits. Genetic correlations among the traits of first parity were high (0.55 to 0.99). From the results we could conclude that optimum strategy to improve the Sahiwal cattle further would be selecting the animals based on their first lactation 305dMY. Option top include the significant SNP in selection criteria can be explored. Taken together, a 2-stage selection approach, select Sahiwal animals early for the SNP and then on the basis of first lactation 305dMY will help to save resources.
format Online
Article
Text
id pubmed-9126386
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-91263862022-05-24 Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle Worku, Destaw Gowane, Gopal Alex, Rani Joshi, Pooja Verma, Archana PLoS One Research Article The premises for the potential success of molecular breeding is the ability to identify major genes associated with important dairy related traits. The present study was taken up with the objectives to identify single nucleotide polymorphism (SNP) of bovine MASP2 and SIRT1 genes and its effect on estimated breeding values (EBVs) and to estimate genetic parameters for lactation milk yield (LMY), 305-day milk yield (305dMY), 305-day fat yield (305dFY), 305-day solid not fat yield (305dSNFY) and lactation length (LL) in Sahiwal dairy cattle to devise a promising improvement strategy. Genetic parameters and breeding values of milk production traits were estimated from 935 Sahiwal cattle population (1979–2019) reared at National Dairy Research Institute at Karnal, India. A total of 7 SNPs, where one SNP (g.499C>T) in exon 2 and four SNPs (g.576G>A, g.609T>C, g.684G>T and g.845A>G) in exon 3 region of MASP2 gene and 2 SNPs (g.-306T>C and g.-274G>C) in the promoter region of SIRT1 gene were identified in Sahiwal cattle population. Five of these identified SNPs were chosen for further genotyping by PCR-RFLP and association analysis. Association analysis was performed using estimated breeding values (n = 150) to test the effect of SNPs on LMY, 305dMY, 305dFY, 305dSNFY and LL. Association analysis revealed that, three SNP markers (g.499C>T, g.609T>C and g.-306T>C) were significantly associated with all milk yield traits. The estimates for heritability using repeatability model for LMY, 305dMY, 305dFY, 305dSNFY and LL were low, however the corresponding estimates from first parity were 0.20±0.08, 0.17±0.08, 0.13±0.09, 0.13±0.09 and 0.24, respectively. The repeatability estimates were moderate to high indicating consistency of performance over the parities and hence reliability of first lactation traits. Genetic correlations among the traits of first parity were high (0.55 to 0.99). From the results we could conclude that optimum strategy to improve the Sahiwal cattle further would be selecting the animals based on their first lactation 305dMY. Option top include the significant SNP in selection criteria can be explored. Taken together, a 2-stage selection approach, select Sahiwal animals early for the SNP and then on the basis of first lactation 305dMY will help to save resources. Public Library of Science 2022-05-23 /pmc/articles/PMC9126386/ /pubmed/35604915 http://dx.doi.org/10.1371/journal.pone.0267800 Text en © 2022 Worku 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
Worku, Destaw
Gowane, Gopal
Alex, Rani
Joshi, Pooja
Verma, Archana
Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle
title Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle
title_full Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle
title_fullStr Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle
title_full_unstemmed Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle
title_short Inputs for optimizing selection platform for milk production traits of dairy Sahiwal cattle
title_sort inputs for optimizing selection platform for milk production traits of dairy sahiwal cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126386/
https://www.ncbi.nlm.nih.gov/pubmed/35604915
http://dx.doi.org/10.1371/journal.pone.0267800
work_keys_str_mv AT workudestaw inputsforoptimizingselectionplatformformilkproductiontraitsofdairysahiwalcattle
AT gowanegopal inputsforoptimizingselectionplatformformilkproductiontraitsofdairysahiwalcattle
AT alexrani inputsforoptimizingselectionplatformformilkproductiontraitsofdairysahiwalcattle
AT joshipooja inputsforoptimizingselectionplatformformilkproductiontraitsofdairysahiwalcattle
AT vermaarchana inputsforoptimizingselectionplatformformilkproductiontraitsofdairysahiwalcattle