Evidence map›Paper›PMID 36082156›Full record

ArticleBioMed research international2022

Comparison of Bacterial and Fungal Community Structure and Potential Function Analysis of Yak Feces before and after Weaning.

Yuanyuan Li, Xin Li, Yanfeng Liu, Cunxi Nie, Cheng Chen, Junli Niu, Wenju Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yuanyuan LiCollege of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832000, China.ORCID https://orcid.org/0000-0002-6206-6879
Xin LiCollege of Life Sciences, Shihezi University, Shihezi, Xinjiang 832000, China.ORCID https://orcid.org/0000-0002-3039-2389
Yanfeng LiuFeed Research Institute of Xinjiang Academy of Animal Sciences, Ürümqi, Xinjiang 830000, China.ORCID https://orcid.org/0000-0001-6744-5029
Cunxi NieCollege of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832000, China.ORCID https://orcid.org/0000-0003-3320-2840
Cheng ChenCollege of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832000, China.ORCID https://orcid.org/0000-0002-0242-9332
Junli NiuCollege of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832000, China.ORCID https://orcid.org/0000-0003-0819-7509
Wenju ZhangCollege of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832000, China.ORCID https://orcid.org/0000-0002-5314-9904
Shihezi University · CNXinjiang Academy of Animal Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weaning is one of the most stressful periods in yak growth. However, the impact of weaning on microbial diversity, structure, and potential function of yak feces is not clear. In this study, 12 Xinjiang yaks aged 3, 4, 5, and 6 months old were selected to collect fresh feces before and after weaning. Through 16S rRNA and ITS high-throughput sequencing, the dynamic distribution and potential function of yak fecal, bacterial, and fungal communities in each month were revealed. The study found that the richness of fungi had a significant impact on weaning. At the phylum level,

Indexed as

MycobiomeAnimalsBacillotaBacteriaBacteroidetesCattleFecesFungiRNA, Ribosomal, 16SWeaningRNA, Ribosomal, 16S

Identifiers

PMID36082156
PMCPMC9448584
OpenAlexW4293776841

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.