Literature DB >> 25258256

Identification of putative fertility markers in seminal plasma of crossbred bulls through differential proteomics.

M K Muhammad Aslam1, A Kumaresan2, Vinay K Sharma3, Md Tajmul3, Shivani Chhillar1, A K Chakravarty4, A Manimaran1, T K Mohanty4, A Srinivasan3, Savita Yadav5.   

Abstract

Sub-fertility is a major problem in crossbred bulls leading to disintegration of breeding systems and huge economic loss. Identification of some potential biomarkers to determine the latent fertility of bulls accurately has long been the interest of researchers. In this study, we analyzed the proteome of seminal plasma (SP) from bulls with varying fertility to identify the fertility-associated proteins. The proteomic profile of high- and low-fertile bulls was compared by two-dimensional difference gel electrophoresis and differentially expressed proteins were identified through matrix-assisted laser desorption/ionization-time of flight/mass spectrometry. Out of the 18 differentially expressed proteins (P < 0.05), 9 were overexpressed in SP of high-fertile bulls and 9 were overexpressed in SP of low-fertile bulls. The differential expressions ranged from 1.5- to 5.5-fold between the two groups, where protection of telomeres-1 protein (POT1) was highly overexpressed (2.9-fold) in high-fertile group and prostaglandin E2 receptor EP3 (PTGER3) was highly abundant (5.5-fold) in low-fertile group. The protein interaction network was elucidated using STRING software tool, and the functional bioinformatics analysis was done using Blast2Go software. Most of the differentially expressed proteins were found to be involved in cellular processes and biological regulation with binding and catalytic function. It is inferred that the expression of certain proteins in the SP varied with bull fertility, and concurrent appraisal of their expression along with other fertility assays may help in determining bull fertility.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2D-DIGE; Bioinformatics; Crossbred bulls; Seminal plasma

Mesh:

Substances:

Year:  2014        PMID: 25258256     DOI: 10.1016/j.theriogenology.2014.08.007

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  8 in total

1.  Integrated multi-omics analyses reveals molecules governing sperm metabolism potentially influence bull fertility.

Authors:  Thirumala Rao Talluri; Arumugam Kumaresan; Manish Kumar Sinha; Nilendu Paul; John Peter Ebenezer Samuel King; Tirtha K Datta
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

Review 2.  Marker-assisted selection vis-à-vis bull fertility: coming full circle-a review.

Authors:  Varinder Singh Raina; Aneet Kour; Atish Kumar Chakravarty; Vikas Vohra
Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

Review 3.  Proteomics in India: the clinical aspect.

Authors:  Somaditya Mukherjee; Arun Bandyopadhyay
Journal:  Clin Proteomics       Date:  2016-11-05       Impact factor: 3.988

4.  Identifying pleiotropic variants and candidate genes for fertility and reproduction traits in Holstein cattle via association studies based on imputed whole-genome sequence genotypes.

Authors:  Shi-Yi Chen; Flavio S Schenkel; Ana L P Melo; Hinayah R Oliveira; Victor B Pedrosa; Andre C Araujo; Melkaye G Melka; Luiz F Brito
Journal:  BMC Genomics       Date:  2022-04-28       Impact factor: 4.547

5.  Morphometric evaluation of seminiferous tubule and proportionate numerical analysis of Sertoli and spermatogenic cells indicate differences between crossbred and purebred bulls.

Authors:  Utkarsh K Tripathi; Shivani Chhillar; A Kumaresan; M K Muhammad Aslam; S K Rajak; Samiksha Nayak; A Manimaran; T K Mohanty; Savita Yadav
Journal:  Vet World       Date:  2015-05-22

6.  Sub-fertility in crossbred bulls: deciphering testicular level transcriptomic alterations between zebu (Bos indicus) and crossbred (Bos taurus x Bos indicus) bulls.

Authors:  Kamaraj Elango; Arumugam Kumaresan; Ankur Sharma; Pradeep Nag; Mani Arul Prakash; Manish Kumar Sinha; Ayyasamy Manimaran; Ebenezer Samuel King John Peter; Sakthivel Jeyakumar; Sellappan Selvaraju; Kerekoppa P Ramesha; Tirtha K Datta
Journal:  BMC Genomics       Date:  2020-07-21       Impact factor: 3.969

7.  Comparative Transcriptomic Analysis of Spermatozoa From High- and Low-Fertile Crossbred Bulls: Implications for Fertility Prediction.

Authors:  Mani Arul Prakash; Arumugam Kumaresan; John Peter Ebenezer Samuel King; Pradeep Nag; Ankur Sharma; Manish Kumar Sinha; Elango Kamaraj; Tirtha Kumar Datta
Journal:  Front Cell Dev Biol       Date:  2021-05-10

8.  Sperm Transcripts Associated With Odorant Binding and Olfactory Transduction Pathways Are Altered in Breeding Bulls Producing Poor-Quality Semen.

Authors:  Thirumalaisamy Karuthadurai; Dayal Nitai Das; Arumugam Kumaresan; Manish Kumar Sinha; Elango Kamaraj; Pradeep Nag; John Peter Ebenezer Samuel King; Tirtha Kumar Datta; Ayyasamy Manimaran; Sakthivel Jeyakumar; Kerekoppa Ramesha
Journal:  Front Vet Sci       Date:  2022-02-22
  8 in total

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