Evidence map›Paper›PMID 41853553›Full record

ReviewFrontiers in microbiomes2024

Bovine reproductive tract and microbiome dynamics: current knowledge, challenges, and its potential to enhance fertility in dairy cows.

Deepshikha Gupta, Antisa Sarkar, Yash Pal, Vishal Suthar, Aakash Chawade, Sandeep Kumar Kushwaha

Abstract readReview
In one paragraph

Review in Frontiers in microbiomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Integrated Analysis ofBiomolecules · 2026
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  12. Infection of prepubertal heifer calves as a natural host model forFrontiers in cellular and infection microbiology · 2025
    Article
  13. Article
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.

Deepshikha GuptaNational Institute of Animal Biotechnology, Hyderabad, India.
Antisa SarkarNational Institute of Animal Biotechnology, Hyderabad, India.
Yash PalNational Institute of Animal Biotechnology, Hyderabad, India.
Vishal SutharGujarat Biotechnology University, Gandhinagar, India.
Aakash ChawadeDepartment of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden.
Sandeep Kumar KushwahaNational Institute of Animal Biotechnology, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cattle production system focuses on maintaining an animal-based food supply with a lower number of cattle. However, the fecundity of dairy cows has declined worldwide. The reproductive tract microbiome is one of the important factors which can influence bovine fecundity. Therefore, reproductive tract microbiomes have been explored during the estrus cycle, artificial insemination, gestation, and postpartum to establish a link between the micro-communities and reproductive performance. These investigations suggested that microbial dysbiosis in the reproductive tract may be associated with declined fertility. However, there is a scarcity of comprehensive investigations to understand microbial diversity, abundance, shift, and host-microbiome interplay for bovine infertility cases such as repeat breeding syndrome (RBS). This review summarizes the occurrence and persistence of microbial taxa to gain a better understanding of reproductive performance and its implications. Further, we also discuss the possibilities of microbiome manipulation strategies to enhance bovine fecundity.

Indexed as

bovine infertilityestrus cyclefecunditymicrobial dysbiosismicrobiome manipulation strategiesrepeat breederreproductive tract

Identifiers

PMID41853553
PMCPMC12993595

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.