Literature DB >> 33573244

Characterization of Breed Specific Differences in Spermatozoal Transcriptomes of Sheep in Australia.

Marnie J Hodge1,2, Sara de Las Heras-Saldana3, Sally J Rindfleish2, Cyril P Stephen1, Sameer D Pant1.   

Abstract

Reduced reproductive efficiency results in economic losses to the Australian sheep industry. Reproductive success, particularly after artificial insemination, is dependent on a number of contributing factors on both ewe and ram sides. Despite considerable emphasis placed on characterising ewe side contributions, little emphasis has been placed on characterising ram side contributions to conception success. Over 14,000 transcripts are in spermatozoa of other species, which are transferred to the ova on fertilisation. These transcripts conceivably influence early embryonic development and whether conception is successful. Semen was collected (n = 45) across three breeds; Merino, Dohne, and Poll Dorset. Following collection, each ejaculate was split in two; an aliquot was assessed utilising Computer Assisted Semen Analysis (CASA) and the remaining was utilised for RNA extraction and subsequent next-generation sequencing. Overall, 754 differentially expressed genes were identified in breed contrasts and contrast between ejaculates of different quality. Downstream analysis indicated that these genes could play significant roles in a broad range of physiological functions, including maintenance of spermatogenesis, fertilisation, conception, embryonic development, and offspring production performance. Overall results provide evidence that the spermatozoal transcriptome could be a crucial contributing factor in improving reproductive performance as well as in the overall productivity and profitability of sheep industries.

Entities:  

Keywords:  Computer Assisted Semen Analysis (CASA); RNA-sequencing; sheep; spermatozoal quality

Year:  2021        PMID: 33573244      PMCID: PMC7912062          DOI: 10.3390/genes12020203

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  79 in total

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Authors:  T Ogi; J Mimura; M Hikida; H Fujimoto; Y Fujii-Kuriyama; H Ohmori
Journal:  Genes Cells       Date:  2001-11       Impact factor: 1.891

4.  An Efficient Approach for RNA Extraction from Boar Sperm and Seminal Plasma.

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Journal:  Bio Protoc       Date:  2019-07-05

5.  HTSeq--a Python framework to work with high-throughput sequencing data.

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Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

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7.  A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive.

Authors:  Nedenia Bonvino Stafuzza; Rafael Medeiros de Oliveira Silva; Breno de Oliveira Fragomeni; Yutaka Masuda; Yijian Huang; Kent Gray; Daniela A Lino Lourenco
Journal:  BMC Genomics       Date:  2019-04-27       Impact factor: 3.969

8.  Retinoic Acid Is Sufficient for the In Vitro Induction of Mouse Spermatocytes.

Authors:  Si Wang; Xiuxia Wang; Longfei Ma; Xiwen Lin; Daoqin Zhang; Zhen Li; Yujian Wu; Chunwei Zheng; Xue Feng; Shangying Liao; Yanmin Feng; Jian Chen; Xiangjing Hu; Min Wang; Chunsheng Han
Journal:  Stem Cell Reports       Date:  2016-06-23       Impact factor: 7.765

9.  Effects of lactation and pregnancy on gene expression of endometrium of Holstein cows at day 17 of the estrous cycle or pregnancy.

Authors:  R L A Cerri; I M Thompson; I H Kim; A D Ealy; P J Hansen; C R Staples; J L Li; J E P Santos; W W Thatcher
Journal:  J Dairy Sci       Date:  2012-08-09       Impact factor: 4.034

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  1 in total

1.  Establishment of a male fertility prediction model with sperm RNA markers in pigs as a translational animal model.

Authors:  Won-Ki Pang; Shehreen Amjad; Do-Yeal Ryu; Elikanah Olusayo Adegoke; Md Saidur Rahman; Yoo-Jin Park; Myung-Geol Pang
Journal:  J Anim Sci Biotechnol       Date:  2022-07-07
  1 in total

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