Literature DB >> 29537884

Current status of sperm functional genomics and its diagnostic potential of fertility in bovine (Bos taurus).

Sellappan Selvaraju1, Sivashanmugam Parthipan1, Lakshminarayana Somashekar1, B Krishnan Binsila1, Atul P Kolte2, Arunachalam Arangasamy1, Janivara Parameshwaraiah Ravindra1, Stephen A Krawetz3,4.   

Abstract

With artificial insemination (AI) and other precision dependent assisted reproductive technologies (ART) being followed in large scale in human and animal reproduction, assessing semen quality and fertilizability is under continuous scrutiny. Various tests have been developed to predict semen quality, but so far no single, highly reliable test is available. In this regard, transcriptomic profiling of spermatozoa assumes significance as it carries the information about spermatogenesis, sperm function, and paternal roles in post-fertilization events. Human spermatozoal transcriptome profiling has been carried out on a large number of individuals to predict the semen quality. A study in human indicated that the outcome of some idiopathic couples seeking reproductive care could be helped using transcriptomic profiling of spermatozoa. Such studies have a direct impact on the bovine dairy industry, wherein AI is practiced. Limited studies in bovine spermatozoal transcriptome profiling have revealed that the spermatozoa contain various classes of RNA, like in human. Approximately 13,000 bovine genes yield a series of spermatozoal transcripts, of which most are fragmented in nature. Their abundance is indicative of the timing of events associated with spermatogenesis, e.g., PRM1, IGF1, BMP2; sperm function, TSSK6, CRISP, HSFY2; fertility, UBE2D3, Integrin-β, LDC-1; and embryonic development, miR34c-5p, BCL2L11, BRCA1. The most abundant translated bovine transcripts are BSP3 and SPATA18, and are involved in regulation of germ cell development and the maintenance of chromatin integrity during spermatogenesis respectively. The presence of transcripts associated with placental development, e.g., placental associated glycoproteins (PAGs) have suggested their possible influence beyond early embryonic development. Changes in transcript levels like RPL31 and PRKCE that increase, and PRM1 that decreases, during cryopreservation need to be defined in order to optimize cryopreservation and fertility yield. Spermatozoal transcriptome profiling with validation studies are warranted in large numbers of animals to elucidate their significance for selecting fertile bulls for the breeding program. Abbreviations: AI: artificial insemination; BSE: breeding soundness evaluation; cfs-mRNA: cell-free seminal mRNA; piRNA: PIWI-interacting RNA; tRNA: transfer RNA; fg: femtogram; TPM: transcripts per million reads; RPKM: reads per kilobase million; rRNA: ribosomal RNA; mt-RNA: mitochondrial RNA; lncRNA: long non-coding RNA; sncRNA: small noncoding RNA; snoRNA: small nucleolar RNA; snRNA: small nuclear RNA; miRNA: microRNA; snaR: small NF90-associated RNAs; SINES: short interspersed nuclear elements; LINES: long interspersed nuclear elements; MER: medium reiterated sequence; F1 offspring: filial 1 offspring; PAGs: placental associated glycoproteins; TCP: Transcription factor T complex protein; BSP3: bovine seminal plasma protein 3; SCNT: somatic cell nuclear transfer; qPCR: quantitative (real-time) polymerase chain reaction; SSH: suppression subtractive hybridization; SNP: single nucleotide polymorphism; 2-DE: 2 dimensional gel electrophoresis; LC-MS/MS: liquid chromatography-tandem mass spectrometry.

Entities:  

Keywords:  Bull; cryopreservation; fertility; semen quality; spermatozoal RNA

Mesh:

Substances:

Year:  2018        PMID: 29537884     DOI: 10.1080/19396368.2018.1444816

Source DB:  PubMed          Journal:  Syst Biol Reprod Med        ISSN: 1939-6368            Impact factor:   3.061


  13 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

2.  Semen evaluation: methodological advancements in sperm quality-specific fertility assessment - A review.

Authors:  Bereket Molla Tanga; Ahmad Yar Qamar; Sanan Raza; Seonggyu Bang; Xun Fang; Kiyoung Yoon; Jongki Cho
Journal:  Anim Biosci       Date:  2021-04-23

3.  Integrated analysis of mRNAs and long noncoding RNAs in the semen from Holstein bulls with high and low sperm motility.

Authors:  Xiuge Wang; Chunhong Yang; Fang Guo; Yaran Zhang; Zhihua Ju; Qiang Jiang; Xueming Zhao; Yong Liu; Han Zhao; Jinpeng Wang; Yan Sun; Changfa Wang; Huabin Zhu; Jinming Huang
Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

4.  RNA-Seq analysis reveals functionally relevant coding and non-coding RNAs in crossbred bull spermatozoa.

Authors:  Mani Arul Prakash; Arumugam Kumaresan; Manish Kumar Sinha; Elango Kamaraj; Tushar Kumar Mohanty; Tirtha Kumar Datta; Jane M Morrell
Journal:  Anim Reprod Sci       Date:  2020-10-10       Impact factor: 2.145

5.  Exploring the ovine sperm transcriptome by RNAseq techniques. I Effect of seasonal conditions on transcripts abundance.

Authors:  Irene Ureña; Carmen González; Manuel Ramón; Marta Gòdia; Alex Clop; Jorge H Calvo; Mª Jesús Carabaño; Magdalena Serrano
Journal:  PLoS One       Date:  2022-03-14       Impact factor: 3.240

Review 6.  Sperm Functional Genome Associated With Bull Fertility.

Authors:  Memmet Özbek; Mustafa Hitit; Abdullah Kaya; Frank Dean Jousan; Erdogan Memili
Journal:  Front Vet Sci       Date:  2021-06-22

7.  Cryopreservation and its effects on motility and gene expression patterns and fertilizing potential of bovine epididymal sperm.

Authors:  Hassan Nazari; Ebrahim Ahmadi; Hamid Hosseini Fahraji; Azita Afzali; Najmeh Davoodian
Journal:  Vet Med Sci       Date:  2020-09-18

8.  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

Review 9.  Germ Cell Drivers: Transmission of Preconception Stress Across Generations.

Authors:  Korrina A Duffy; Tracy L Bale; C Neill Epperson
Journal:  Front Hum Neurosci       Date:  2021-07-12       Impact factor: 3.169

Review 10.  Significance and Relevance of Spermatozoal RNAs to Male Fertility in Livestock.

Authors:  Bijayalaxmi Sahoo; Ratan K Choudhary; Paramajeet Sharma; Shanti Choudhary; Mukesh Kumar Gupta
Journal:  Front Genet       Date:  2021-12-09       Impact factor: 4.599

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