Evidence map›Paper›PMID 40361129›Full record

ArticleBMC veterinary research2025

Genetic diversity of Streptococcus agalactiae from dairy cattle with mastitis in Argentina.

Gabriela Gerez, Luciana Belén Hernandez, Jimena Cadona, Andrea Mariel Sanso, Ana Victoria Bustamante

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Veterinary macrolides againstFrontiers in veterinary science · 2026
    Pooled it
  2. Review
  3. Article
  4. Dairy FarmPathogens (Basel, Switzerland) · 2026
    Article
  5. 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

5 authors.

Gabriela Gerez *Laboratorio de Inmunoquímica y Biotecnología, Centro de Investigación Veterinaria de Tandil (CIVETAN), CONICET, CIC, Facultad de Ciencias Veterinarias, UNCPBA, 7000, Tandil, Buenos Aires, Argentina.
Luciana Belén Hernandez *Laboratorio de Inmunoquímica y Biotecnología, Centro de Investigación Veterinaria de Tandil (CIVETAN), CONICET, CIC, Facultad de Ciencias Veterinarias, UNCPBA, 7000, Tandil, Buenos Aires, Argentina.
Jimena CadonaLaboratorio de Inmunoquímica y Biotecnología, Centro de Investigación Veterinaria de Tandil (CIVETAN), CONICET, CIC, Facultad de Ciencias Veterinarias, UNCPBA, 7000, Tandil, Buenos Aires, Argentina.
Andrea Mariel SansoLaboratorio de Inmunoquímica y Biotecnología, Centro de Investigación Veterinaria de Tandil (CIVETAN), CONICET, CIC, Facultad de Ciencias Veterinarias, UNCPBA, 7000, Tandil, Buenos Aires, Argentina.
Ana Victoria BustamanteLaboratorio de Inmunoquímica y Biotecnología, Centro de Investigación Veterinaria de Tandil (CIVETAN), CONICET, CIC, Facultad de Ciencias Veterinarias, UNCPBA, 7000, Tandil, Buenos Aires, Argentina. avbustaman@vet.unicen.edu.ar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBovine mastitis is an important health problem in dairy cattle which affects the quality and yield of milk and causes significant economic losses in the dairy industry. Streptococcus agalactiae is a Gram-positive and zoonotic bacterium that causes clinical and subclinical contagious bovine mastitis. The main strategy for the control of this pathogen in dairy herds is the antimicrobial therapy. The aim of this study was to determine the genetic diversity of S. agalactiae using Multiple Locus Variable number tandem repeat -VNTR- Analysis (MLVA), serotypes, virulence factors (VF) and antimicrobial resistance (AMR) profiles and to compare the discrimination power of these different methods in strains isolated from cattle with mastitis in Argentinian dairy farms.

resultsEighty-seven S. agalactiae isolates obtained from dairy cattle with mastitis in Argentina were analyzed. The detected serotypes were III, II and Ia. The most frequent virulence and AMR detected genes were cpsA, hylB, PI-2b, cylE, rib, spb1, and tetO and ermB respectively. A total of 36 VF + AMR profiles were detected with a discriminatory power of the method of Ds = 0.96. The MLVA based on six VNTRs showed 29 profiles with a Ds = 0.90. The analysis of VF + AMR + MLVA data together showed 59 profiles with an increased discriminatory power (Ds = 0.98).

conclusionThis study highlights that the MLVA is recommended to add to other methodologies in order to study epidemiological relationships in this species Although within each dairy farm there was a predominance of certain serotypes/virulence profiles, the characteristics did not show total homogeneity, as expected due to the contagious nature of the pathogen. This suggests the incorporation of animals from other herds at some point, a practice not uncommon among dairy farms in Argentina. By other hand, the detection of a same clone in the same farm in different periods confirms that S. agalactiae strains can persist on dairy farms for a long time.

Indexed as

Genetic VariationMastitis, BovineStreptococcal InfectionsStreptococcus agalactiaeAnimalsArgentinaCattleDairyingDrug Resistance, BacterialFemaleMinisatellite RepeatsSerogroupVirulence FactorsVirulence FactorsDairy cattleGenetic diversityMastitisMLVAStreptococcus agalactiae

Identifiers

PMID40361129
PMCPMC12070692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.