Evidence map›Paper›PMID 33637135›Full record

ArticleMicrobiome2021

Dicer-like proteins influence Arabidopsis root microbiota independent of RNA-directed DNA methylation.

Richa Kaushal, Li Peng, Sunil K Singh, Mengrui Zhang, Xinlian Zhang, Juan I Vílchez, Zhen Wang, Danxia He, Yu Yang, Suhui Lv and 11 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  16. Microbial fortification of pharmacological metabolites in medicinal plants.Computational and structural biotechnology journal · 2023
    Review
  17. Review
  18. Article
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  20. Rhizospheric microbial consortium ofFrontiers in microbiology · 2022
    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

21 authors at 6 institutions in 3 countries.

Richa Kaushal *Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Li Peng *Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Sunil K Singh *Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Mengrui ZhangDepartment of Statistics, University of Georgia, Athens, GA, 30602, USA.
Xinlian ZhangDepartment of Statistics, University of Georgia, Athens, GA, 30602, USA.
Juan I VílchezShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Zhen WangDepartment of Statistics, University of Georgia, Athens, GA, 30602, USA.
Danxia HeShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Yu YangShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Suhui LvShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Zhongtian XuShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Rafael J L MorcilloShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Wei WangShanghai Chenshan Botanical Garden, Shanghai, 201602, China.
Weichang HuangShanghai Chenshan Botanical Garden, Shanghai, 201602, China.
Paul W ParéDepartment of Chemistry & Biochemistry, Texas Tech University, Lubbock, TX, 79409, USA.
Chun-Peng SongState Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China.
Jian-Kang ZhuShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Renyi LiuShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China.
Wenxuan ZhongDepartment of Statistics, University of Georgia, Athens, GA, 30602, USA.
Ping MaDepartment of Statistics, University of Georgia, Athens, GA, 30602, USA.
Huiming ZhangShanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 201602, China. hmzhang@psc.ac.cn.ORCID 0000-0003-0695-3593
Chinese Academy of Sciences · CNUniversity of Georgia · USHenan University · CNShanghai Chenshan Plant Science Research Center · CNTexas Tech University · USUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlants are naturally associated with root microbiota, which are microbial communities influential to host fitness. Thus, it is important to understand how plants control root microbiota. Epigenetic factors regulate the readouts of genetic information and consequently many essential biological processes. However, it has been elusive whether RNA-directed DNA methylation (RdDM) affects root microbiota assembly.

resultsBy applying 16S rRNA gene sequencing, we investigated root microbiota of Arabidopsis mutants defective in the canonical RdDM pathway, including dcl234 that harbors triple mutation in the Dicer-like proteins DCL3, DCL2, and DCL4, which produce small RNAs for RdDM. Alpha diversity analysis showed reductions in microbe richness from the soil to roots, reflecting the selectivity of plants on root-associated bacteria. The dcl234 triple mutation significantly decreases the levels of Aeromonadaceae and Pseudomonadaceae, while it increases the abundance of many other bacteria families in the root microbiota. However, mutants of the other examined key players in the canonical RdDM pathway showed similar microbiota as Col-0, indicating that the DCL proteins affect root microbiota in an RdDM-independent manner. Subsequently gene analysis by shotgun sequencing of root microbiome indicated a selective pressure on microbial resistance to plant defense in the dcl234 mutant. Consistent with the altered plant-microbe interactions, dcl234 displayed altered characters, including the mRNA and sRNA transcriptomes that jointly highlighted altered cell wall organization and up-regulated defense, the decreased cellulose and callose deposition in root xylem, and the restructured profile of root exudates that supported the alterations in gene expression and cell wall modifications.

conclusionOur findings demonstrate an important role of the DCL proteins in influencing root microbiota through integrated regulation of plant defense, cell wall compositions, and root exudates. Our results also demonstrate that the canonical RdDM is dispensable for Arabidopsis root microbiota. These findings not only establish a connection between root microbiota and plant epigenetic factors but also highlight the complexity of plant regulation of root microbiota. Video abstract.

Indexed as

MicrobiotaRNA, PlantArabidopsisDNA MethylationGene Expression Regulation, PlantPlant RootsRibonuclease IIIRNA, Ribosomal, 16SRibonuclease IIIRNA, PlantRNA, Ribosomal, 16SCell wallDCLDefenseMicrobiomeRNA-directed DNA methylationRoot microbiotaSmall RNA

Identifiers

PMID33637135
PMCPMC7913254
OpenAlexW3183122247

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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.