Evidence map›Paper›PMID 38689185›Full record

ArticleApplied microbiology and biotechnology2024

Disease-induced changes in bacterial and fungal communities from plant below- and aboveground compartments.

Mingfeng Cao, Songqing Huang, Jingjing Li, Xiaoming Zhang, Yi Zhu, Jingzhao Sun, Li Zhu, Yong Deng, Jianqiang Xu, Zhihua Zhang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

17 authors at 3 institutions in 1 country.

Mingfeng CaoChangde Tobacco Company of Hunan Province, Changde, China.
Songqing HuangChangde Tobacco Company of Hunan Province, Changde, China.
Jingjing LiTechnology Center of China Tobacco Fujian Company, Xiamen, China.
Xiaoming ZhangChangde Tobacco Company of Hunan Province, Changde, China.
Yi ZhuChangde Tobacco Company of Hunan Province, Changde, China.
Jingzhao SunChangde Tobacco Company of Hunan Province, Changde, China.
Li ZhuChangde Tobacco Company of Hunan Province, Changde, China.
Yong DengChangde Tobacco Company of Hunan Province, Changde, China.
Jianqiang XuChangde Tobacco Company of Hunan Province, Changde, China.
Zhihua ZhangChangde Tobacco Company of Hunan Province, Changde, China.
Qiang LiChangde Tobacco Company of Hunan Province, Changde, China.
Jixiang AiChangde Tobacco Company of Hunan Province, Changde, China.
Tian XieChangde Tobacco Company of Hunan Province, Changde, China.
Hengli LiChangde Tobacco Company of Hunan Province, Changde, China.
Huaqun YinSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.
Wuyuan KongChangde Tobacco Company of Hunan Province, Changde, China. 809033168@qq.com.
Yabing GuSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China. 1466552951@qq.com.ORCID http://orcid.org/0000-0003-1093-1063
Central South University · CNChina Tobacco · CNThe First People's Hospital of Changde · CN

Funding

Changde Tobacco Company of Hunan Province CD2022KJ01
6 · The paper itself

Abstract

The plant microbes are an integral part of the host and play fundamental roles in plant growth and health. There is evidence indicating that plants have the ability to attract beneficial microorganisms through their roots in order to defend against pathogens. However, the mechanisms of plant microbial community assembly from below- to aboveground compartments under pathogen infection remain unclear. In this study, we investigated the bacterial and fungal communities in bulk soil, rhizosphere soil, root, stem, and leaf of both healthy and infected (Potato virus Y disease, PVY) plants. The results indicated that bacterial and fungal communities showed different recruitment strategies in plant organs. The number and abundance of shared bacterial ASVs between bulk and rhizosphere soils decreased with ascending migration from below- to aboveground compartments, while the number and abundance of fungal ASVs showed no obvious changes. Field type, plant compartments, and PVY infection all affected the diversity and structures of microbial community, with stronger effects observed in the bacterial community than the fungal community. Furthermore, PVY infection, rhizosphere soil pH, and water content (WC) contributed more to the assembly of the bacterial community than the fungal community. The analysis of microbial networks revealed that the bacterial communities were more sensitive to PVY infection than the fungal communities, as evidenced by the lower network stability of the bacterial community, which was characterized by a higher proportion of positive edges. PVY infection further increased the bacterial network stability and decreased the fungal network stability. These findings advance our understanding of how microbes respond to pathogen infections and provide a rationale and theoretical basis for biocontrol technology in promoting sustainable agriculture. KEY POINTS: • Different recruitment strategies between plant bacterial and fungal communities. • Bacterial community was more sensitive to PVY infection than fungal community. • pH and WC drove the microbial community assembly under PVY infection.

Indexed as

BacteriaFungiPlant DiseasesPlant RootsRhizosphereSoil MicrobiologyHydrogen-Ion ConcentrationMicrobiotaMycobiomePlant LeavesPlantsEndophytesMicrobial communityMicrobial networkPotato virus Y diseaseRhizosphere

Identifiers

PMID38689185
PMCPMC11061026
OpenAlexW4396508224

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.