Evidence map›Paper›PMID 41026429›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2025

Assessment of bacterial diversity in bovine bulk tank milk samples from Brazil.

Rafaela Martins Morasi, Filippo Biscarini, Chiara Gini, Fabrizio Ceciliani, Cristina Lecchi, Anelise Salina, André Thaler Neto, Hélio Langoni, Clarice Gebara, Bruna Lourenço Crippa and 1 more

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Rafaela Martins MorasiDepartment of Food Sciences and Nutrition, Faculty of Food Engineering, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Filippo BiscariniInstitute of Agricultural Biology and Biotechnology, National Research Council (CNR- IBBA), Milan, Italy.
Chiara GiniDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.
Fabrizio CecilianiDepartment of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Lodi, Italy.
Cristina LecchiDepartment of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Lodi, Italy.
Anelise SalinaDepartment of Animal Production and Preventive Veterinary Medicine, Faculty of Veterinary Medicine and Zootechnics, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
André Thaler NetoCentre of Agroveterinary Sciences, Santa Catarina State University, Lages, Santa Catarina, Brazil.
Hélio LangoniDepartment of Animal Production and Preventive Veterinary Medicine, Faculty of Veterinary Medicine and Zootechnics, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Clarice GebaraFood Research Center, School of Veterinary and Animal Science, Federal University of Goiás (UFG), Goiás, Goiânia, Brazil.
Bruna Lourenço CrippaDepartment of Food Sciences and Nutrition, Faculty of Food Engineering, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Nathália Cristina Cirone SilvaDepartment of Food Sciences and Nutrition, Faculty of Food Engineering, State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil. ncirone@unicamp.br.ORCID http://orcid.org/0000-0002-2839-1416

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 144471/2021-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/17308-4
6 · The paper itself

Abstract

This research aimed to analyze and compare bacterial diversity in bulk tank milk (BTM) samples from five Brazilian regions using 16 S rRNA gene sequencing, while correlating this diversity with Somatic Cell Count (SCC) values. A total of 57 samples from Santa Catarina, São Paulo, Minas Gerais, Goiás, Maranhão, Pará, and Tocantins were sequenced through Next Generation Sequencing (NGS). The analysis revealed one kingdom, four phyla, six classes, 14 orders, 28 families, and 43 genera, with Moraxellaceae (22.3%), Streptococcaceae (14.1%), Acetobacteraceae (13.8%), Pseudomonadaceae (11.0%), and Enterococcaceae (9.0%) as the main families, and Acinetobacter (22.3%), Pseudomonas (11.7%), and Acetobacter (8.1%) as the main genera. Alpha diversity differed significantly in Maranhão and Pará compared to Goiás (set as baseline for comparing alpha diversity across regions), as indicated by Fisher, Chao1, and ACE indices (p < 0.05). In terms of beta diversity, significant differences (p < 0.001) were found among the states, highlighting the heterogeneity of these communities inside the country. While high and low SCC groups showed no significant differences in alpha diversity (p > 0.05), beta diversity did exhibit significant variation (p < 0.001). Tracking the bacterial diversity and SCC found in BTM samples using advanced molecular technologies allowed us to understand microbial diversity for future strategy development, consequently improving the quality and safety of the milk produced on Brazilian farms.

Indexed as

BacteriaBiodiversityMilkAnimalsBrazilCattleDNA, BacterialHigh-Throughput Nucleotide SequencingPhylogenyRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SBacterial communitiesBulk tank milkMicrobiomeNext Generation Sequencing

Identifiers

PMID41026429
PMCPMC12660597

What OpenQuestion holds

Textmetadata
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.