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Identification of bull semen microbiota by 16S sequencing and possible relationships with fertility

ABSTRACT: Identification of microbiota in bull semen

PROVIDER: PRJEB47651 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR6798950_1.fastq.gz	Fastqsanger.gz
	ERR6798950_2.fastq.gz	Fastqsanger.gz
	ERR6798960_1.fastq.gz	Fastqsanger.gz
	ERR6798960_2.fastq.gz	Fastqsanger.gz
	ERR6798951_1.fastq.gz	Fastqsanger.gz

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Identification of Bull Semen Microbiome by 16S Sequencing and Possible Relationships with Fertility.

Project description:Reports on the use of 16S sequencing for the identification of bacteria in healthy animals are lacking. Bacterial contamination of bull semen can have a negative effect on the sperm quality. The aims of this study were threefold: to identify bacteria in the semen of healthy bulls using 16S sequencing; to investigate the differences in the bacterial community between individual bulls; and to establish if there was a relationship between the bacteria isolated and bull fertility. Semen from 18 bulls of known fertility was used for the DNA extraction and 16S sequencing; 107 bacterial genera were identified. The differences in the amplicon sequence variants (ASVs) and the numbers of genera between bulls were noted. Negative correlations (p < 0.05) between several bacterial genera with Curvibacter, Rikenellaceae RC9-gut-group and Dyella spp. were seen. Other negatively correlated bacteria were Cutibacterium, Ruminococcaceae UCG-005, Ruminococcaceae UCG-010 and Staphylococcus, all within the top 20 genera. Two genera, W5053 and Lawsonella, were enriched in bulls of low fertility; this is the first time that these bacteria have been reported in bull semen samples. The majority of the bacteria were environmental organisms or were species originating from the mucous membranes of animals and humans. The results of this study indicate that differences in the seminal microbiota of healthy bulls occur and might be correlated with fertility.

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Project description:Pregnancy rates for elite bulls used in artificial insemination (AI) can vary significantly and therefore the identification of molecular markers for bull fertility and targets to improve bull selection is important. β-defensins are peptides with diverse regulatory roles in sperm function across multiple species. To explore the functional impact of DEFB103 CNV on the uterine response in vivo, 18 heifers were inseminated with sperm from bulls categorized by low, intermediate, and high CN levels. Transcriptomic analysis of uterine tissue collected 12 hours after insemination revealed significant differential expression of 58 genes (FDR<0.1) related to sperm migration, immune signaling, and chemotaxis. These findings highlight the significant role of DEFB103 CN in both sperm function and the uterine response to bull sperm, suggesting its potential influence on pregnancy outcomes in cattle.

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Bull sperm SWATH-MS-based proteomics reveals link between high fertility and energy production, motility structures, and sperm-oocyte interaction. Quantitation

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

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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.

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