Evidence map›Paper›PMID 36275601›Full record

ArticleFrontiers in plant science2022

Disentangling leaf-microbiome interactions in

Kaihang Li, Kexin Cheng, Haochen Wang, Qi Zhang, Yan Yang, Yi Jin, Xiaoqing He, Rongling Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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 at 1 institution in 2 countries.

Kaihang LiCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Kexin ChengCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Haochen WangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Qi ZhangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Yan YangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Yi JinCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Xiaoqing HeCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Rongling WuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Beijing Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The leaf microbiota plays a key role in plant development, but a detailed mechanism of microbe-plant relationships remains elusive. Many genome-wide association studies (GWAS) have begun to map leaf microbes, but few have systematically characterized the genetics of how microbes act and interact. Previously, we integrated behavioral ecology and game theory to define four types of microbial interactions - mutualism, antagonism, aggression, and altruism, in a microbial community assembly. Here, we apply network mapping to identify specific plant genes that mediate the topological architecture of microbial networks. Analyzing leaf microbiome data from an

Indexed as

Arabidopsis thalianaleaf-microbiome interactionsmicrobial networksnetwork mappingpath analysis

Identifiers

PMID36275601
PMCPMC9583167
OpenAlexW4303184594

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.