Evidence map›Paper›PMID 33178171›Full record

ArticleFrontiers in microbiology2020

Screening of Microbes Associated With Swine Growth and Fat Deposition Traits Across the Intestinal Tract.

Shi Tang, Ying Xin, Yunlong Ma, Xuewen Xu, Shuhong Zhao, Jianhua Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 91 citations in OpenAlex.

  1. Microbial and Genomic Information Synergistically Contribute to Predicting Swine Performance Across Production Systems.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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  4. Prevalence ofFrontiers in microbiology · 2026
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  6. Effects of DifferentMicroorganisms · 2025
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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

6 authors at 1 institution in 1 country.

Shi TangCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Ying XinCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Yunlong MaCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Xuewen XuCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Shuhong ZhaoCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Jianhua CaoCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China.
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pigs, as one of the most common livestock species worldwide, are expected to have a fast growth rate and lower subcutaneous fatness but higher intramuscular fat ("marbling meat"). Nowadays, it is believed that not only host genetics but also its gut microbiomes can modulate farm animal phenotypes, however, many of the mechanisms remain elusive. We measured the body weight (BW), average daily gain (ADG), backfat thickness (BFT), and intramuscular fatness (IMF) of 91 Enshi pigs at 260 days of age, then genotyped each one individually using a 50K single nucleotide polymorphism array and performed 16S ribosomal RNA gene sequencing on 455 microbial samples from the jejunum, ileum, cecum, colon, and rectum. The microbial diversity showed notable spatial variation across the entire intestinal tract, with the cecum and colon having the highest α-diversity. The cecal and colonic microbiotas made greater contributions to BW and ADG and accounted for 22-37% of the phenotypic variance. The jejunal and cecal microbiotas contributed more (13-31%) to the BFT and IMF than the other segments. Finally, from cecum, colon, and jejunum, we identified eight microbial taxa that were significantly correlated with the target traits. The genera

Indexed as

16S RNAintestinal gut segmentmeat qualitiesmicrobiotapig

Identifiers

PMID33178171
PMCPMC7596661
OpenAlexW3092814471

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.