Evidence map›Paper›PMID 36108700›Full record

ArticleAnimal bioscience2022

Analysis of 16S rRNA gene sequencing data for the taxonomic characterization of the vaginal and the fecal microbial communities in Hanwoo.

Soyoung Choi, Jihye Cha, Minji Song, JuHwan Son, Mi-Rim Park, Yeong-Jo Lim, Tae-Hun Kim, Kyung-Tai Lee, Woncheoul Park

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2022. 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
0.1field-weighted citation impact, top 57% of its field
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, 1 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Soyoung ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Jihye ChaAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Minji SongAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
JuHwan SonAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Mi-Rim ParkAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Yeong-Jo LimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Tae-Hun KimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Kyung-Tai LeeAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Woncheoul ParkAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
National Institute of Animal Science · KR

Funding

Rural Development Administration PJ0148262020
6 · The paper itself

Abstract

objectiveThe study of Hanwoo (Korean native cattle) has mainly been focused on meat quality and productivity. Recently the field of microbiome research has increased dramatically. However, the information on the microbiome in Hanwoo is still insufficient, especially relationship between vagina and feces. Therefore, the purpose of this study is to examine the microbial community characteristics by analyzing the 16S rRNA sequencing data of Hanwoo vagina and feces, as well as to confirm the difference and correlation between vaginal and fecal microorganisms. As a result, the goal is to investigate if fecal microbiome can be used to predict vaginal microbiome.

methodsA total of 31 clinically healthy Hanwoo that delivered healthy calves more than once in Cheongju, South Korea were enrolled in this study. During the breeding season, we collected vaginal and fecal samples and sequenced the microbial 16S rRNA genes V3-V4 hypervariable regions from microbial DNA of samples.

resultsThe results revealed that the phylum-level microorganisms with the largest relative distribution were Firmicutes, Actinobacteria, Bacteroidetes, and Proteobacteria in the vagina, and Firmicutes, Bacteroidetes, and Spirochaetes in the feces, respectively. In the analysis of alpha, beta diversity, and effect size measurements (LefSe), the results showed significant differences between the vaginal and fecal samples. We also identified the function of these differentially abundant microorganisms by functional annotation analyses. But there is no significant correlation between vaginal and fecal microbiome.

conclusionThere is a significant difference between vaginal and fecal microbiome, but no significant correlation. Therefore, it is difficult to interrelate vaginal microbiome as fecal microbiome in Hanwoo. In a further study, it will be necessary to identify the genetic relationship of the entire microorganism between vagina and feces through the whole metagenome sequencing analysis and meta-transcriptome analysis to figure out their relationship.

Indexed as

16S rRNAFecesHanwooMicrobiomeVagina

Identifiers

PMID36108700
PMCPMC9659453
OpenAlexW4296034019

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.