Evidence map›Paper›PMID 41089365›Full record

ArticleJournal of animal science and technology2025

Biodiversity and identification of spore-forming bacteria in raw milk from Korean dairy farm environment using the culturomics approach.

Won Seo Park, Jayeon Yoo, Daye Mun, Hyun Woo Choi, Sangnam Oh, Jun Sang Ham, Younghoon Kim

Abstract read
In one paragraph

Article in Journal of animal science and technology, 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

7 authors.

Won Seo ParkNational Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-2229-3169
Jayeon YooNational Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-3593-5191
Daye MunDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea.ORCID https://orcid.org/0000-0002-3470-7632
Hyun Woo ChoiDepartment of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Korea.ORCID https://orcid.org/0000-0002-1365-1721
Sangnam OhDepartment of Food and Nutrition, Jeonju University, Jeonju 55069, Korea.ORCID https://orcid.org/0000-0002-2428-412X
Jun Sang HamNational Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-4966-6631
Younghoon KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea.ORCID https://orcid.org/0000-0001-6769-0657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spores present in milk survive heat treatments and can persist during downstream processing. In Korea, the development of the dairy industry is also growing. However, studies related to the distribution and diversity of spore-forming bacteria for the quality control of raw milk and dairy products are insufficient. This study aimed to evaluate the contamination levels of spore-forming species in raw milk derived from five dairy farm environments in Korea. The isolated strains were also identified using 16S rRNA sequencing and characterized based on the environmental factors in farms, which affect raw milk production. Representative spore-forming bacteria communities in the samples include Bacillaceae, Lachnospiraceae, Paenibacillaceae, and Caryophanaceae at the family level, and

Indexed as

BiodiversityCulturomicsDairy farmRaw milkSpore-forming bacteria

Identifiers

PMID41089365
PMCPMC12516590

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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.