Evidence map›Paper›PMID 35739152›Full record

ArticleScientific reports2022

Integrated multi-omics analyses reveals molecules governing sperm metabolism potentially influence bull fertility.

Thirumala Rao Talluri, Arumugam Kumaresan, Manish Kumar Sinha, Nilendu Paul, John Peter Ebenezer Samuel King, Tirtha K Datta

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  3. Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Thirumala Rao TalluriTheriogenology Laboratory, Veterinary Gynaecology and Obstetrics, Southern Regional Station of ICAR- National Dairy Research Institute, Bengaluru, Karnataka, 560030, India.
Arumugam KumaresanTheriogenology Laboratory, Veterinary Gynaecology and Obstetrics, Southern Regional Station of ICAR- National Dairy Research Institute, Bengaluru, Karnataka, 560030, India. A.Kumaresan@icar.gov.in.
Manish Kumar SinhaTheriogenology Laboratory, Veterinary Gynaecology and Obstetrics, Southern Regional Station of ICAR- National Dairy Research Institute, Bengaluru, Karnataka, 560030, India.
Nilendu PaulTheriogenology Laboratory, Veterinary Gynaecology and Obstetrics, Southern Regional Station of ICAR- National Dairy Research Institute, Bengaluru, Karnataka, 560030, India.
John Peter Ebenezer Samuel KingTheriogenology Laboratory, Veterinary Gynaecology and Obstetrics, Southern Regional Station of ICAR- National Dairy Research Institute, Bengaluru, Karnataka, 560030, India.
Tirtha K DattaAnimal Genomics Laboratory, ICAR - National Dairy Research Institute, Karnal, Haryana, 132 001, India.
National Dairy Research Institute · IN

Funding

Bill & Melinda Gates Foundation OPP1154401
6 · The paper itself

Abstract

Bull fertility is of paramount importance in bovine industry because semen from a single bull is used to breed several thousands of cows; however, so far, no reliable test is available for bull fertility prediction. In the present study, spermatozoa from high- and low-fertility bulls were subjected to high-throughput transcriptomic, proteomic and metabolomic analysis. Using an integrated multi-omics approach the molecular differences between high- and low-fertility bulls were identified. We identified a total of 18,068 transcripts, 5041 proteins and 3704 metabolites in bull spermatozoa, of which the expression of 4766 transcripts, 785 proteins and 33 metabolites were dysregulated between high- and low-fertility bulls. At transcript level, several genes involved in oxidative phosphorylation pathway were found to be downregulated, while at protein level genes involved in metabolic pathways were significantly downregulated in low-fertility bulls. We found that metabolites involved in Taurine and hypotaurine metabolism were significantly downregulated in low-fertility bulls. Integrated multi-omics analysis revealed the interaction of dysregulated transcripts, proteins and metabolites in major metabolic pathways, including Butanoate metabolism, Glycolysis and gluconeogenesis, Methionine and cysteine metabolism, Phosphatidyl inositol phosphate, pyrimidine metabolism and saturated fatty acid beta oxidation. These findings collectively indicate that molecules governing sperm metabolism potentially influence bull fertility.

Indexed as

FertilitySpermatozoaAnimalsCattleFemaleMalePlant BreedingProteomicsSemen

Identifiers

PMID35739152
PMCPMC9226030
OpenAlexW4283312644

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.