Evidence map›Paper›PMID 36718443›Full record

ArticlePeerJ2023

Research on bacterial community characteristics of traditional fermented yak milk in the Tibetan Plateau based on high-throughput sequencing.

Shifang Wu, Xiaoli Yang, Haina Gao, Chengrui Shi, Longlin Wang, Deyuan Lu, Yiheng Li, Jinliang Zhang, Weibing Zhang, Pengcheng Wen

Abstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Screening ofFoods (Basel, Switzerland) · 2024
    Article
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

10 authors.

Shifang Wu *College of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.
Xiaoli Yang *Gansu Institute of Business and Technology, Lanzhou, Gansu, China.
Haina GaoSchool of Food and Health, Beijing Technology & Business University, Beijing, Beijing, China.
Chengrui ShiCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.
Longlin WangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.
Deyuan LuCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.
Yiheng LiCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.
Jinliang ZhangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.
Weibing ZhangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.ORCID 0000-0003-1812-1372
Pengcheng WenCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Tibetan Plateau has an abundance of yak milk resources. The complex microbiota found in traditional fermented yak milk produced and sold by local Tibetans endows the yak milk with unique quality characteristics such as tissue morphology, flavor, and function. However, the diversity of bacterial flora in traditional fermented yak milk have not been elucidated. Methods: In this study, 15 samples of fermented yak milk were collected for 16S rRNA high-throughput sequencing to analyze the bacterial community composition and function. Results: After filtering for quality, 792,642 high-quality sequences were obtained, and 13 kinds of different phyla and 82 kinds of different genera were identified, of which the phylum

Indexed as

BacteriaMilkAnimalsCattleHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16STibetRNA, Ribosomal, 16SBacterial diversityHigh-throughput sequencingPlateau Tibetan areaTraditional fermented yak milk

Identifiers

PMID36718443
PMCPMC9884033

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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.