Evidence map›Paper›PMID 42424349›Full record

ArticlePloS one2026

Metataxonomic insights into lactic acid bacteria diversity in artisanal coalho cheese from the Caatinga biome.

Ruana Célia Gomes De Morais Costa Rodrigues, Emmanuella de Oliveira Moura Araújo, Samira Teixeira da Silva, Gustavo Felipe Correia Sales, Danielle Cavalcanti Sales, Mauricio Tolstoi do Santos Ferreira, Cláudio Vaz Di Mambro Ribeiro, Luis Medeiros de Lucena, Claudio Cipolat-Gotet, Maria Taciana Holanda Cavalcanti and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. 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.

Ruana Célia Gomes De Morais Costa RodriguesPostgraduate Program in in Animal Production, Federal University of Rio Grande do Norte, Macaíba, Brazil.
Emmanuella de Oliveira Moura AraújoAcademic Unit Specialized in Agricultural Sciences, Federal University of Rio Grande do Norte, Macaíba, Brazil.ORCID https://orcid.org/0000-0003-3600-7805
Samira Teixeira da SilvaPostgraduate Program in in Animal Production, Federal University of Rio Grande do Norte, Macaíba, Brazil.
Gustavo Felipe Correia SalesDepartment of Animal Science, Federal University of Paraíba, Areia, Brazil.
Danielle Cavalcanti SalesAcademic Unit Specialized in Agricultural Sciences, Federal University of Rio Grande do Norte, Macaíba, Brazil.
Mauricio Tolstoi do Santos FerreiraPostgraduate Program in Climate Sciences, Federal University of Rio Grande do Norte, Macaíba, Brazil.
Cláudio Vaz Di Mambro RibeiroVeterinary and Animal Science School, Federal University of Bahia, Salvador, BA, Brazil.ORCID https://orcid.org/0000-0001-8676-3225
Luis Medeiros de LucenaAcademic Unit Specialized in Agricultural Sciences, Federal University of Rio Grande do Norte, Macaíba, Brazil.
Claudio Cipolat-GotetDepartment of Veterinary Science, University of Parma, Parma, Italy.
Maria Taciana Holanda CavalcantiDepartment of Morphology and Animal Physiology, Federal Rural University of Pernambuco, Recife, Brazil.
Adriano Henrique do Nascimento RangelAcademic Unit Specialized in Agricultural Sciences, Federal University of Rio Grande do Norte, Macaíba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artisanal raw-milk cheeses are complex microbial ecosystems that reflect local environments through spontaneous fermentation driven by lactic acid bacteria (LAB), processing practices, and the quality of raw materials. The Caatinga biome, a unique semi-arid ecosystem in Northeastern Brazil, presents distinctive environmental and cultural conditions which can significantly influence the microbial composition of traditional dairy products. This study aimed This study aimed to characterize the bacterial community, with emphasis on lactic acid bacteria (LAB), in artisanal Coalho cheese produced in the Seridó region using 16S rRNA gene-based metataxonomic analysis. A total of 32 cheese samples from eight municipalities were collected and homogenized into a representative composite sample. DNA was extracted and the V3-V4 region of the 16S rRNA gene was sequenced using the Illumina MiSeq platform (paired-end 2 × 300 bp). The microbial community was dominated by LAB, particularly Enterococcus (~25%), followed by Lactococcus, Streptococcus, and Leuconostoc. The predominance of these genera reflects the spontaneous fermentation process typical of artisanal raw-milk cheeses and highlights their role in acidification, flavor development, and microbial stability. The microbial community was dominated by LAB, particularly Enterococcus (~25%), followed by Lactococcus, Streptococcus, and Leuconostoc. The predominance of these genera reflects the spontaneous fermentation process typical of artisanal raw-milk cheeses and highlights their role in acidification, flavor development, and microbial stability. This study provides the first metataxonomic insight into the microbiota of artisanal Coalho cheese produced in the Seridó region of the state of Rio Grande do Norte, highlighting its microbial richness and biotechnological potential, and supporting its valorisation and the sustainable development of regional cheese production. Although the use of pooled samples limits the assessment of intra-regional variability, the results establish a foundational understanding of the microbial community structure and support future investigations focused on functional characterization, food safety, and process standardization.

Indexed as

CheeseLactobacillalesBiodiversityBrazilFermentationFood MicrobiologyLactococcusMicrobiotaPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID42424349
PMCPMC13349174

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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.