Evidence map›Paper›PMID 29540768›Full record

ArticleScientific reports2018

A global comparison of the microbiome compositions of three gut locations in commercial pigs with extreme feed conversion ratios.

Jianping Quan, Gengyuan Cai, Jian Ye, Ming Yang, Rongrong Ding, Xingwang Wang, Enqin Zheng, Disheng Fu, Shaoyun Li, Shenping Zhou and 3 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
–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

112 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Multiple-trait genomic prediction for swine meat quality traits using gut microbiome features as a correlated trait.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  18. Article
  19. Article
  20. Article

52 more citing papers are in PubMed but not listed here.

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

13 authors.

Jianping QuanCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Gengyuan CaiCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Jian YeCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Ming YangNational Engineering Research Center for Breeding Swine Industry, Guangdong Wens Foodstuffs Co., Ltd, Guangdong, P.R. China.
Rongrong DingCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Xingwang WangCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Enqin ZhengCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Disheng FuCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Shaoyun LiCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Shenping ZhouCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Dewu LiuCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China.
Jie YangCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China. jieyang2012@hotmail.com.ORCID 0000-0002-7031-2160
Zhenfang WuCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China. wzfeamil@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an attempt to increase profits and sustainability in the swine industry, the gut microbiome has become a focus of much research. In this study, we performed a comparative analysis of the gut microbiome in the ileum, cecum, and colon of Duroc × (Landrace × Yorkshire) (DLY) pigs showing two extreme feed conversion ratios (FCRs) using 16S rRNA gene sequencing. The results revealed that the microbial community in the cecum and colon had significantly higher alpha diversity than the ileum. We further identified 11, 55, and 55 operational taxonomic units (OTUs) with significantly different relative abundances between the high and low FCR pigs among the three gut locations, respectively. These OTUs were mainly associated with bacteria that participate in the metabolism of dietary polysaccharides and proteins. We then identified two and nine metabolic pathways that were enriched in the cecum and colon of the high FCR pigs, respectively. The results suggested that the short chain fatty acids and indolic compounds produced by microbial fermentation might influence porcine feed efficiency. These results should improve our understanding of microbiota compositions in the different gut locations of commercial pigs and provide important insights into the effect of gut microbiota on porcine FCRs.

Indexed as

AnimalsBacteriaCecumChimeraColonDNA, BacterialDNA, RibosomalFemaleFood IndustryGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingIleumMetagenomicsPhylogenyRNA, Ribosomal, 16SSequence Analysis, RNADNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID29540768
PMCPMC5852056

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.