Meprin A1 subunit beta gene polymorphism is associated with the length of post-partum anestrus interval in Murrah buffaloes.


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
15 Jun 2022
Historique:
received: 07 10 2021
revised: 01 03 2022
accepted: 25 03 2022
pubmed: 1 4 2022
medline: 14 5 2022
entrez: 31 3 2022
Statut: ppublish

Résumé

Postpartum anestrus interval (PPAI) is the interval between parturition and the first postpartum estrus exhibition in animals. Appearance of both normal and PPA buffaloes under the same farm conditions indicates the role of possible genetic predisposition to PPA. To identify the genetic and non-genetic factors associated with PPA in buffaloes, we collected data on PPAI and other 38 non-genetic variables from 575 Murrah buffaloes in the field conditions and identified the PPA associated non-genetic factors in our previous study. To explore the genetic factors associated with the unexplained variation in PPAI residuals, the present study identified 41 single nucleotide polymorphisms (SNPs) in 13 candidate genes using Sanger sequencing. Exploration of their association with the PPAI residuals of 50 extreme PPA and 50 normal buffaloes identified the significant (P < 0.01) association of the SNP (g.37219977A>G) in the 3'-UTR region of the Meprin A 1 subunit beta (Mep1b) gene with PPAI, which was further validated (P = 0.058) in a large population sample (n = 417). Bioinformatics analysis of the 3'-UTR region has identified three miRNA, bta-miR-2420, bta-miR-2325b and bta-miR-453 that could regulate Igf-1 in the plasma of animals with different genotypes (GG, AG and AA). The higher Igf-1 levels in the GG genotypes than that of AA and AG genotypes of this SNP (g.37219977A>G) further suggest the association of Mep1b gene with PPA condition in Murrah buffaloes. As a result of this study, we propose that buffaloes with protective alleles at this SNP be selected to improve the herd's reproductive efficiency.

Identifiants

pubmed: 35358656
pii: S0378-1119(22)00275-X
doi: 10.1016/j.gene.2022.146456
pii:
doi:

Substances chimiques

MicroRNAs 0
Insulin-Like Growth Factor I 67763-96-6
Metalloendopeptidases EC 3.4.24.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146456

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Thota Venkata Chaitanya Kumar (TVC)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.

Surya Kant Verma (SK)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.

Davinder Sharma (D)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.

Lal Krishan Kumar (LK)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.

Vedamurthy G Veerappa (VG)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.

Dheer Singh (D)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.

Suneel Kumar Onteru (SK)

Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India. Electronic address: suneelvet@gmail.com.

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Classifications MeSH