Evidence map›Paper›PMID 39743291›Full record

ReviewJournal of Zhejiang University. Science. B2024

Implications of bacteria‒bacteria interactions within the plant microbiota for plant health and productivity.

Giovanni Davide Barone, Yaqi Zhou, Hongkai Wang, Sunde Xu, Zhonghua Ma, Tomislav Cernava, Yun Chen

Abstract readReview
In one paragraph

Review in Journal of Zhejiang University. Science. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Giovanni Davide BaroneInstitute of Biology, University of Graz, 8010 Graz, Austria.
Yaqi ZhouState Key Laboratory of Rice Biology and Breeding; Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects; Zhejiang Provincial Key Laboratory of Biology of Crop Pathogens and Insects; Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Hongkai WangState Key Laboratory of Rice Biology and Breeding; Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects; Zhejiang Provincial Key Laboratory of Biology of Crop Pathogens and Insects; Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Sunde XuState Key Laboratory of Rice Biology and Breeding; Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects; Zhejiang Provincial Key Laboratory of Biology of Crop Pathogens and Insects; Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Zhonghua MaState Key Laboratory of Rice Biology and Breeding; Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects; Zhejiang Provincial Key Laboratory of Biology of Crop Pathogens and Insects; Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China.
Tomislav CernavaSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, SO17 1BJ Southampton, UK. tomislav.cernava@tugraz.at.
Yun ChenState Key Laboratory of Rice Biology and Breeding; Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects; Zhejiang Provincial Key Laboratory of Biology of Crop Pathogens and Insects; Institute of Biotechnology, Zhejiang University, Hangzhou 310058, China. chenyun0927@zju.edu.cn.

Funding

the China Agriculture Research System CARS-3-1-15the National Key Research and Development Program of China 2022YFD1400100the National Natural Science Foundation of China 32172356the Natural Science Foundation of Zhejiang Province LZ23C140004
6 · The paper itself

Abstract

Crop production currently relies on the widespread use of agrochemicals to ensure food security. This practice is considered unsustainable, yet has no viable alternative at present. The plant microbiota can fulfil various functions for its host, some of which could be the basis for developing sustainable protection and fertilization strategies for plants without relying on chemicals. To harness such functions, a detailed understanding of plant‒microbe and microbe‒microbe interactions is necessary. Among interactions within the plant microbiota, those between bacteria are the most common ones; they are not only of ecological importance but also essential for maintaining the health and productivity of the host plants. This review focuses on recent literature in this field and highlights various consequences of bacteria‒bacteria interactions under different agricultural settings. In addition, the molecular and genetic backgrounds of bacteria that facilitate such interactions are emphasized. Representative examples of commonly found bacterial metabolites with bioactive properties, as well as their modes of action, are given. Integrating our understanding of various binary interactions into complex models that encompass the entire microbiota will benefit future developments in agriculture and beyond, which could be further facilitated by artificial intelligence-based technologies.

Indexed as

BacteriaMicrobiotaAgricultureCrops, AgriculturalMicrobial InteractionsPlantsBacteria‒bacteria interactionCrop productionMolecular interactionPlant microbiomePlant pathogen

Identifiers

PMID39743291
PMCPMC11693387

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.