Evidence map›Paper›PMID 31120967›Full record

ArticlePloS one2019

RNA-seq reveals differentially expressed genes in rice (Oryza sativa) roots during interactions with plant-growth promoting bacteria, Azospirillum brasilense.

Jacklyn Thomas, Ha Ram Kim, Yasir Rahmatallah, Grant Wiggins, Qinqing Yang, Raj Singh, Galina Glazko, Arijit Mukherjee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  12. Biosynthesis of Phenolic Compounds ofInternational journal of molecular sciences · 2024
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  14. Fine-Tuning ofPlants (Basel, Switzerland) · 2024
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  15. Article
  16. A comprehensive review onFrontiers in genetics · 2024
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  17. Article
  18. Frontiers in agronomy · 2023
    Article
  19. Review
  20. 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 2 institutions in 1 country.

Jacklyn ThomasDepartment of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.
Ha Ram KimDepartment of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.
Yasir RahmatallahDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Grant WigginsDepartment of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.
Qinqing YangDepartment of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.
Raj SinghDepartment of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.ORCID 0000-0003-1764-2344
Galina GlazkoDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Arijit MukherjeeDepartment of Biology, University of Central Arkansas, Conway, Arkansas, United States of America.ORCID 0000-0003-0895-539X
University of Central Arkansas · USUniversity of Arkansas for Medical Sciences · US

Funding

Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett, JERRY WARE · 2012 to 2026
$60.9M
NIGMS NIH HHS P20 GM103429
6 · The paper itself

Abstract

Major non-legume crops can form beneficial associations with nitrogen-fixing bacteria like Azospirillum brasilense. Our current understanding of the molecular aspects and signaling that occur between important crops like rice and these nitrogen-fixing bacteria is limited. In this study, we used an experimental system where the bacteria could colonize the plant roots and promote plant growth in wild type rice and symbiotic mutants (dmi3 and pollux) in rice. Our data suggest that plant growth promotion and root penetration is not dependent on these genes. We then used this colonization model to identify regulation of gene expression at two different time points during this interaction: at 1day post inoculation (dpi), we identified 1622 differentially expressed genes (DEGs) in rice roots, and at 14dpi, we identified 1995 DEGs. We performed a comprehensive data mining to classify the DEGs into the categories of transcription factors (TFs), protein kinases (PKs), and transporters (TRs). Several of these DEGs encode proteins that are involved in the flavonoid biosynthetic pathway, defense, and hormone signaling pathways. We identified genes that are involved in nitrate and sugar transport and are also implicated to play a role in other plant-microbe interactions. Overall, findings from this study will serve as an excellent resource to characterize the host genetic pathway controlling the interactions between non-legumes and beneficial bacteria which can have long-term implications towards sustainably improving agriculture.

Indexed as

Azospirillum brasilenseGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGenes, PlantHost Microbial InteractionsModels, BiologicalMutationOryzaPlant RootsRNA, PlantRNA-SeqSignal TransductionSymbiosisRNA, Plant

Identifiers

PMID31120967
PMCPMC6532919
OpenAlexW2946370991

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.