Evidence map›Paper›PMID 35573862›Full record

ArticleAnimal reproduction2022

Identification of biomarkers for bull fertility using functional genomics.

Muhammet Rasit Ugur, Denise D Guerreiro, Arlindo A Moura, Erdogan Memili

Open access · goldAbstract read
In one paragraph

Article in Animal reproduction, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Microbial Landscape of Bull (Animals : an open access journal from MDPI · 2026
    Article
  3. Article
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  5. Article
  6. Article
  7. Review
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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

4 authors at 3 institutions in 2 countries.

Muhammet Rasit UgurIVF Michigan, Bloomfield Hills, MI, USA.ORCID 0000-0003-1234-6693
Denise D GuerreiroDepartamento de Zootecnia, Universidade Federal do Ceará, Fortaleza, CE, Brasil.ORCID 0000-0001-9581-8523
Arlindo A MouraDepartamento de Zootecnia, Universidade Federal do Ceará, Fortaleza, CE, Brasil.ORCID 0000-0002-8271-5733
Erdogan MemiliDepartment of Animal and Dairy Sciences, Mississippi State University, Starkville, MS, USA.ORCID 0000-0002-8335-5645
Universidade Federal do Ceará · BRGenetics and IVF Institute · USPrairie View A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction of bull fertility is critical for the sustainability of both dairy and beef cattle production. Even though bulls produce ample amounts of sperm with normal parameters, some bulls may still suffer from subpar fertility. This causes major economic losses in the cattle industry because using artificial insemination, semen from one single bull can be used to inseminate hundreds of thousands of cows. Although there are several traditional methods to estimate bull fertility, such methods are not sufficient to explain and accurately predict the subfertility of individual bulls. Since fertility is a complex trait influenced by a number of factors including genetics, epigenetics, and environment, there is an urgent need for a comprehensive methodological approach to clarify uncertainty in male subfertility. The present review focuses on molecular and functional signatures of bull sperm associated with fertility. Potential roles of functional genomics (proteome, small noncoding RNAs, lipidome, metabolome) on determining male fertility and its potential as a fertility biomarker are discussed. This review provides a better understanding of the molecular signatures of viable and fertile sperm cells and their potential to be used as fertility biomarkers. This information will help uncover the underlying reasons for idiopathic subfertility.

Indexed as

bull fertilitybull spermfertility biomarkersfunctional genomics

Identifiers

PMID35573862
PMCPMC9083437
OpenAlexW4285186895

What OpenQuestion holds

Textmetadata
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.