Project description:Prediction of male or semen fertility potential remains a persistent challenge that has yet to be fully resolved. This work analyzed several in vitro parameters and proteome of spermatozoa in bulls cataloged as high (HF; n=5) and low field (LF; n=5) fertility after more than a thousand artificial inseminations. Sperm motility was evaluated by Computer-Assisted Sperm Analysis. Sperm viability, mitochondrial membrane potential (MMP), and reactive oxygen species (mROS) of spermatozoa were assessed by flow cytometry. Proteome was evaluated by SWATH-MS procedure. Spermatozoa of HF bulls showed significantly higher total motility than the LF group (41.4% vs. 29.7%). Rates of healthy sperm (live, high MMP, and low mROS) for HF and LF bull groups were 49% and 43%, respectively (p > 0.05). Spermatozoa of HF bulls showed higher presence of differentially abundant proteins (DAPs) related to both energy production (COX7C), mainly OXPHOS pathway, and to the development of structures linked with the motility process (TPPP2, SSMEM1 and SPAG16). Furthermore, we observed that EQTN, together with other DAPs related to the interaction with the oocyte, were overrepresented in HF bull spermatozoa. The biological processes related to protein processing, catabolism, and protein folding were found to be overrepresented in LF bull sperm in which the HSP90AA1 chaperone was identified as the most DAP

2023-10-18 | PXD042286 | Pride

Sperm-borne tsRNAs and microRNA analysis in relation to dairy cattle fertility

Project description:Purpose: Screening the sperm sncRNAs that are responsible for dairy cattle fertility is of great interest, however, exploring the fertility-associated sncRNAs in sperm and linking them with the epigenetic inheritance in bovine has not been performed yet. Here in this study, we hypothesized that some sncRNAs in bovine sperm have a great potential to be linked with direct and immediate bull fertility data and could later influence the embryo and possibly impacting the daughter fertility. Methods: 12 bovine cryopreserved semen (high bull fertility, n=3 VS low bull fertility, n=3; high daughter fertility, n=3 vs low daughter fertility, n=3) that came from a pre-filtered 100 bull list (Figure 1) had been selected to extract total sperm RNA, the somatic cell lysis buffer had been added during the RNA extraction process to avoid the somatic cell pollution. The maternal and other confounding factors had been taken into consideration during the calculation of the phenotype criteria index.After the library construction, the library size that was smaller than 200 base pairs (adapter size around 125 nt) had been cut and sent for next-generation sequencing Results: bull fertility and daughter fertility related sncRNAs had been identified. Conclusions: providing promising epigenetic biomarker for cattle fertility improvement in the future, although these small non-coding RNAs need to be validated in larger sample sizes before being used as biomarkers.

2024-02-16 | GSE225705 | GEO

Integration of whole-genome DNA methylation data with RNA sequencing data to identify markers for bull fertility

Project description:Predicting dairy bull fertility is a current challenge for the dairy industry. The goal of this study was to integrate DNA methylation data with previously published RNA sequencing results in order to identify candidate markers for sire fertility.

2019-12-21 | GSE142472 | GEO

bull metagenome

Project description:bull metagenome

| PRJNA438952 | ENA

DNA methylation analysis of bull semen according to peripubertal age (10 months vs. 16 months)

Project description:DNA methylation analysis of bull semen according to peripubertal age (10 months vs. 16 months)

| PRJNA312964 | ENA

DNA methylation analysis of bull semen according to peripubertal age (12 months vs. 16 months)

Project description:DNA methylation analysis of bull semen according to peripubertal age (12 months vs. 16 months)

| PRJNA312963 | ENA