Integration of omics studies indicates that species-dependent molecular mechanisms govern male fertility  

作　　者：Yoo-Jin Park Won-Ki Pang Myung-Geol Pang 

机构地区：[1]Department of Animal Science&Technology and BET Research Institute,Chung-Ang University,Anseong,Gyeonggi‑do,17546,Republic of Korea

出　　处：《Journal of Animal Science and Biotechnology》2023年第3期1026-1039,共14页畜牧与生物技术杂志（英文版）

基　　金：supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF-2020R1C1C1003380).

摘　　要：Background Comparative and comprehensive omics studies have recently been conducted to provide a comprehensive understanding of the biological mechanisms underlying infertility.However,because these huge omics datasets often contain irrelevant information,editing strategies for summarizing and filtering the data are necessary prerequisite steps for identifying biomarkers of male fertility.Here,we attempted to integrate omics data from spermatozoa with normal and below-normal fertility from boars and bulls,including transcriptomic,proteomic,and metabolomic data.Pathway enrichment analysis was conducted and visualized using g:Profiler,Cytoscape,EnrichmentMap,and AutoAnnotation to determine fertility-related biological functions according to species.Results In particular,gamete production and protein biogenesis-associated pathways were enriched in bull spermatozoa with below-normal fertility,whereas mitochondrial-associated metabolic pathways were enriched in boar spermatozoa with normal fertility.These results indicate that below-normal fertility may be determined by aberrant regulation of protein synthesis during spermatogenesis,and the modulation of reactive oxygen species generation to maintain capacitation and the acrosome reaction governs boar sperm fertility.Conclusion Overall,this approach demonstrated that distinct molecular pathways drive sperm fertility in mammals in a species-dependent manner.Moreover,we anticipate that searching for species-specific signaling pathways may aid in the discovery of fertility-related biomarkers within large omics datasets.

关 键 词：Integrated signaling pathways Male fertility Metabolomics PROTEOMICS Spermatozoa transcriptomics 

分 类 号：S814.1[农业科学—畜牧学]