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PMID: 30844654 Published · ppublish English Journal Article

Database on spermatozoa transcriptogram of catagorised Frieswal crossbred (Holstein Friesian X Sahiwal) bulls.

Theriogenology ·Vol. 129 ·2019-04-15 ·Pages 130-145

Singh R, Junghare V, Hazra S, Singh U, Sengar GS, Raja TV, Kumar S, Tyagi S, Das AK, Kumar A, Koringa P, Jakhesara S, Joshi CJ, Deb R

Abstract

Bull spermatozoa contain different functional genes and many of them plays important roles in different stages of spermatogenesis, spermatozoa kinetics, fertilization as well as embryonic development. RNA deep sequencing is one of the preferred tools for absolute quantification of messenger RNA. The intention of the current study was to investigate the abundance of spermatozoal transcripts in categorized Frieswal (Holstein-Friesian X Sahiwal) crossbred bull semen through RNA deep sequencing. A total 1546561 and 1019308 numbers of reads were identified among good and poor quality bull spermatozoa based on their conception rate. Post mapping with Bos taurus reference genome identified 1,321,236 and 842,022 number of transcripts among good and poor quality RNA libraries, respectively. However, a total number of 3510 and 6759 functional transcripts were identified among good and poor quality bull spermatozoa, respectively. Most of the identified transcripts were related to spermatozoa functions, embryonic development and other functional aspects of fertilization. Wet laboratory validation of the top five selected transcripts (AKAP4, PRM1, ATP2B4, TRIM71 and SLC9B2) illustrated the significant (p < 0.01) level of expression in the good quality crossbred bull semen than the poor quality counterparts. The present study with comprehensive profiling of spermatozoal transcripts provides a useful non-invasive tool to understand the causes of as well as an effective way to predict male infertility in crossbred bulls.

Keywords
Frieswal RNA deep sequencing Spermatozoa Transcriptome
MeSH Terms
Animals Cattle/genetics Chromosome Mapping Databases, Genetic Hybridization, Genetic Kinetics Male Sequence Analysis, RNA Spermatozoa/metabolism Transcriptome
Authors & Affiliations
14 authors, click to expand affiliations / ORCID
Singh Rani
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India. Electronic address: [email protected].
Junghare Vivek
Department of Biotechnology, Center of Nanotechnology, Indian Institute of Technology, Roorkee, Uttarakhand, India.
Hazra Saugata
Department of Biotechnology, Center of Nanotechnology, Indian Institute of Technology, Roorkee, Uttarakhand, India.
Singh Umesh
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Sengar Gyanendra Singh
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Raja T V
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Kumar Sushil
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Tyagi Shrikant
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Das A K
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Kumar Ashish
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India.
Koringa Prakash
Ome Research Laboratory, Anand Agricultural University, Anand, Gujarat, India.
Jakhesara Subhash
Ome Research Laboratory, Anand Agricultural University, Anand, Gujarat, India.
Joshi C J
Ome Research Laboratory, Anand Agricultural University, Anand, Gujarat, India.
Deb Rajib
Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut, 250001, Uttar Pradesh, India. Electronic address: [email protected].
Article Info
Journal
Theriogenology
Abbr.
Theriogenology
ISSN
1879-3231
Published
2019-04-15
Epub
2019-00-14
Pages
130-145
Language
English
Region
United States
NLM ID
0421510
Subset
IM
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