Evidence map›Paper›PMID 41472807›Full record

ArticleFrontiers in microbiology2025

Third-generation sequencing reveals the spatial variation of microbial composition of airborne bacteria in an intensive dairy farm.

Qianqian Zhang, Luyu Ding, Xueying Xie, Lin Ru, Qifeng Li, Chunxia Yao, Johann Solkner, Ruixiang Jiang

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Article in Frontiers in 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
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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

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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

8 authors.

Qianqian ZhangSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China.
Luyu DingSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China.
Xueying XieSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China.
Lin RuCollege of Civil Engineering and Water Conservancy, Heilongjiang Bayi Agricultural University, Daqing, China.
Qifeng LiInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Chunxia YaoInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Johann SolknerInstitute of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria.
Ruixiang JiangInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The intensification of livestock farming has led to increased bacterial bioaerosol emissions, posing potential health risks to both animals and humans. This study aimed to investigate the bacterial community composition, abundance, diversity, and variation in different functional zones of cattle farms to assess their impact on public health and environmental quality. Methods: We employed third-generation sequencing on the PacBio platform to analyze 16S ribosomal RNA (rRNA) sequences from air samples, identifying a diverse range of bacterial phyla, including Results: Notably, Firmicutes and Proteobacteria were predominantly enriched in the samples, with genera such as Discussion: Our findings underscore the importance of understanding the complex microbial ecosystems in livestock farming environments and highlight the need for targeted interventions to mitigate public health risks associated with bacterial bioaerosols.

Indexed as

air microbial communitiesintensive dairy farmingphylogenetic treerisk of diseasesthird generation sequencing

Identifiers

PMID41472807
PMCPMC12747670

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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.