Evidence map›Paper›PMID 24132077›Full record

ArticleThe ISME journal2014

Spatial heterogeneity and co-occurrence patterns of human mucosal-associated intestinal microbiota.

Zhigang Zhang, Jiawei Geng, Xiaodan Tang, Hong Fan, Jinchao Xu, Xiujun Wen, Zhanshan Sam Ma, Peng Shi

Abstract read
In one paragraph

Article in The ISME journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. mSystems · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

63 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

8 authors.

Zhigang ZhangState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Jiawei GengDepartment of Gastroenterology, The First People's Hospital of Yunnan Province, Kunming, China.
Xiaodan TangDepartment of Gastroenterology, The First People's Hospital of Yunnan Province, Kunming, China.
Hong FanDepartment of Gastroenterology, The First People's Hospital of Yunnan Province, Kunming, China.
Jinchao XuCenter for Computational Mathematics and Applications, Department of Mathematics, Pennsylvania State University, University Park, PA, USA.
Xiujun WenCollege of Forestry, South China Agricultural University, Guangzhou, China.
Zhanshan Sam MaState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Peng ShiState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human gut microbiota shows high inter-subject variations, but the actual spatial distribution and co-occurrence patterns of gut mucosa microbiota that occur within a healthy human instestinal tract remain poorly understood. In this study, we illustrated a model of this mucosa bacterial communities' biogeography, based on the largest data set so far, obtained via 454-pyrosequencing of bacterial 16S rDNAs associated with 77 matched biopsy tissue samples taken from terminal ileum, ileocecal valve, ascending colon, transverse colon, descending colon, sigmoid colon and rectum of 11 healthy adult subjects. Borrowing from macro-ecology, we used both Taylor's power law analysis and phylogeny-based beta-diversity metrics to uncover a highly heterogeneous distribution pattern of mucosa microbial inhabitants along the length of the intestinal tract. We then developed a spatial dispersion model with an R-squared value greater than 0.950 to map out the gut mucosa-associated flora's non-linear spatial distribution pattern for 51.60% of the 188 most abundant gut bacterial species. Furthermore, spatial co-occurring network analysis of mucosa microbial inhabitants together with occupancy (that is habitat generalists, specialists and opportunist) analyses implies that ecological relationships (both oppositional and symbiotic) between mucosa microbial inhabitants may be important contributors to the observed spatial heterogeneity of mucosa microbiota along the human intestine and may even potentially be associated with mutual cooperation within and functional stability of the gut ecosystem.

Indexed as

EcosystemModels, BiologicalAdultBiodiversityFemaleHumansIntestinal MucosaMaleMicrobiotaMiddle AgedPhylogenyRNA, Ribosomal, 16SYoung AdultRNA, Ribosomal, 16S

Identifiers

PMID24132077
PMCPMC3960530

What OpenQuestion holds

Textmetadata
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.