Evidence map›Paper›PMID 40202662›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Assessment of Bacterial Contamination in Semen.

Ferran Garriga, Sergi Bonet, Marc Yeste

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Ferran GarrigaBiotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, Girona, Spain.
Sergi BonetBiotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, Girona, Spain.
Marc YesteBiotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, Girona, Spain. marc.yeste@udg.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semen contamination is one of the main issues of concern in livestock industry. While the presence of some bacteria in semen is considered as normal, high bacterial loads detrimentally affect sperm quality and fertilizing ability, thus having a negative repercussion on the efficiency of artificial insemination. For this reason, the present chapter focuses on the methods used for the assessment of semen contamination in farm animals. Routinely, bacterial culture is performed to assess the overall degree of contamination in sperm samples; in some cases, however, the identification of bacterial species is needed to determine the optimal antibiotic composition of semen preservation media and address whether those bacteria have developed antibiotic resistance. In addition, other techniques, such as scanning electron microscopy, can be used to evaluate sperm-bacteria interaction. This chapter also discusses the strategies to prevent bacteria contamination in semen. As the ejaculate is not a sterile fluid, media for preservation usually include, as aforementioned, antibiotics to avoid bacterial growth. Because of the mounting restriction in the usage of antibiotics, which is due to the increase of bacterial resistance, other approaches to prevent bacterial contamination of semen include preservation at low temperatures (5 °C) and the inclusion of alternative molecules such as antimicrobial peptides.

Indexed as

BacteriaSemenAnimalsAnti-Bacterial AgentsMaleSemen AnalysisSemen PreservationSpermatozoaAnti-Bacterial AgentsBacterial contaminationBacterial cultureBacterial identificationLivestockSemenSperm

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.