microRNA (miRNA) and piwi-interacting RNA (piRNA) are two classes small non-coding regulatory RNAs that play crucial roles in multiple biological processes such as spermatogenesis. However, there are no published studies on conjoint analysis of miRNA and piRNA profiles among cattle, yak and their interspecies (the dzo) using sequencing technology. Next-generation sequencing technology was used to profile miRNAs and piRNAs among those three ruminants to elucidate their functions. A total of 119, 14 and six differentially expressed miRNAs were obtained in cattle vs. dzo, cattle vs. yak and yak vs. dzo comparison groups, while there were 873, 1,065 and 1,158 differentially expressed piRNAs in those three comparison groups. The expression of three miRNAs was validated in the three ruminants, and the results suggested that the miRNA expression profiles data could represent actual miRNA expression levels. Moreover, the putative targets of differentially expressed miRNAs were predicted by their own genome, it is worth to note that both the cattle and yak genome were used for dzo, then the targets were subjected to GO enrichment and KEGG pathway analysis, revealing the likely roles for these differentially expressed miRNAs in spermatogenesis. In conclusion, this study provided a useful resource for further elucidation of the miRNAs and piRNAs regulatory roles in spermatogenesis. It may also facilitate the development of therapeutic strategies for dzo reproduction research.
BackgroundThe yak is an important source of livelihood for the people living in the Qinghai-Tibet Plateau. Most genetics detection studies have focused on the comparison between different tissues of different breeds, both living in the Plateau and in the plains. The genetic background and complex regulatory relationship have frequently puzzled researchers. In this study, we divided a population of 10 yaks into two subgroups, namely Plateau (living in the Plateau) and Plain (living in the plains). Phenomic, genomic, and transcriptomic analyses were used to reveal the molecular genetic type in the body weight, slaughter, and beef quality of yaks.ResultsWe found a significant difference (P <0.01) between the third (60 days), fourth (90 days), fifth (120 days), and sixth (150 days) weights of Plateau and plain subpopulations. The difference in body weight was due to differences in kidney weight, meat weight, fur weight, and head weight. However, the beef quality was not significantly different. We identified 540 Differentially Expressed Genes (DEGs). Using weighted gene co-expression network analysis (WGCNA), we have constructed a co-express network, and the modules were strongly related to traits. In the genome-wide association studies (GWAS), we detected significant 156, 52, 33, 15, and 3 signals in the meat weight, head weight, fur weight, liver weight, and the last body weight traits. Based on the epigenome-wide association studies (eWAS) results, we created a link relationship between the DEGs expression level and genotype.ConclusionIn summary, our study demonstrated the effectiveness and representative of multidimensional data from a finite number of yak populations. The study highlights the underlying way, as well as a related network, to yield new information on genome genetics and pathogen-host interactions of both the living Plateau and plain yak populations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.