Sperm Transcriptome Analysis Accurately Reveals Male Fertility Potential in Livestock.

livestock male fertility sperm transcriptome transcriptomic analysis

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
27 Oct 2022
Historique:
received: 03 09 2022
revised: 18 10 2022
accepted: 24 10 2022
entrez: 11 11 2022
pubmed: 12 11 2022
medline: 12 11 2022
Statut: epublish

Résumé

Nowadays, selection of superior male candidates in livestock as a source of frozen semen based on sperm quality at the cellular level is not considered accurate enough for predicting the potential of male fertility. Sperm transcriptome analysis approaches, such as messenger RNA levels, have been shown to correlate with fertility rates. Using this technology in livestock growth has become the principal method, which can be widely applied to predict male fertility potential in the livestock industry through the analysis of the sperm transcriptome. It provides the gene expression to validate the function of sperm in spermatogenesis, fertilization, and embryo development, as the parameters of male fertility. This review proposes a transcriptomic analysis approach as a high-throughput method to predict the fertility potential of livestock more accurately in the future.

Identifiants

pubmed: 36359078
pii: ani12212955
doi: 10.3390/ani12212955
pmc: PMC9657999
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : Indonesian Ministry of Education, Culture, Research, and Technology
ID : The Applied Research grants number 3708/IT3.L1/ PT.01.01/M/B/2022 and the PMDSU grant number 1/E1/KP.PTNBH/2021

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Auteurs

Rhesti Indriastuti (R)

Reproductive Biology Study Program, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.
Tuah Sakato Technology and Resource Development Center, Department of Animal Husbandry and Animal Health of West Sumatra, Payakumbuh 26229, Indonesia.

Berlin Pandapotan Pardede (BP)

Department of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.

Asep Gunawan (A)

Department of Animal Production and Technology, Faculty of Animal Science, IPB University, Bogor 16680, Indonesia.

Mokhamad Fakhrul Ulum (MF)

Department of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.

Raden Iis Arifiantini (RI)

Department of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.

Bambang Purwantara (B)

Department of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.

Classifications MeSH