Evidence map›Paper›PMID 36219690›Full record

ArticleEMBO reports2022

Dissecting the cotranscriptome landscape of plants and their microbiota.

Tatsuya Nobori, Yu Cao, Frederickson Entila, Eik Dahms, Yayoi Tsuda, Ruben Garrido-Oter, Kenichi Tsuda

Abstract read
In one paragraph

Article in EMBO reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Tatsuya NoboriDepartment of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Yu CaoDepartment of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.ORCID https://orcid.org/0000-0003-2263-4234
Frederickson EntilaDepartment of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.ORCID https://orcid.org/0000-0003-0240-4685
Eik DahmsDepartment of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.ORCID https://orcid.org/0000-0002-7452-1146
Yayoi TsudaState Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Lab of Plant Pathology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Ruben Garrido-OterDepartment of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Kenichi TsudaState Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Lab of Plant Pathology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.ORCID https://orcid.org/0000-0001-7074-0731

Funding

Chinese Scholarship Council PhD stipend 201808440401Fundamental Research Funds for the Central Universities 2662020ZKPY009German Research Foundation SPP2125Joint Funding of Huazhong Agricultural University and Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences SZYJY2021007Nakajima Foundation
6 · The paper itself

Abstract

Interactions between plants and neighboring microbial species are fundamental elements that collectively determine the structure and function of the plant microbiota. However, the molecular basis of such interactions is poorly characterized. Here, we colonize Arabidopsis leaves with nine plant-associated bacteria from all major phyla of the plant microbiota and profile cotranscriptomes of plants and bacteria six hours after inoculation. We detect both common and distinct cotranscriptome signatures among plant-commensal pairs. In planta responses of commensals are similar to those of a disarmed pathogen characterized by the suppression of genes involved in general metabolism in contrast to a virulent pathogen. We identify genes that are enriched in the genome of plant-associated bacteria and induced in planta, which may be instrumental for bacterial adaptation to the host environment and niche separation. This study provides insights into how plants discriminate among bacterial strains and lays the foundation for in-depth mechanistic dissection of plant-microbiota interactions.

Indexed as

Arabidopsisbacterial adaptationcommensalcotranscriptomeplant microbiota

Identifiers

PMID36219690
PMCPMC9724666

What OpenQuestion holds

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Registered trials

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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.