Evidence map›Paper›PMID 38502176›Full record

ArticleMolecular plant pathology2024

Integrated ATAC-seq and RNA-seq data analysis identifies transcription factors related to rice stripe virus infection in Oryza sativa.

Miaomiao Li, Jing Li, Yan Zhang, Yushan Zhai, Yi Chen, Lin Lin, Jiejun Peng, Hongying Zheng, Jianping Chen, Fei Yan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular plant pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
9.0field-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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Transcriptomics Analysis Reveals an Early Response GeneCurrent issues in molecular biology · 2025
    Article
  7. Article
  8. Article
  9. Article
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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

11 authors at 1 institution in 1 country.

Miaomiao LiCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Jing LiCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Yan ZhangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Yushan ZhaiState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Yi ChenState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Lin LinState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Jiejun PengState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Hongying ZhengState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Jianping ChenCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Fei YanState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.
Yuwen LuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, China.ORCID 0000-0002-5292-960X
Ningbo University · CN

Funding

National Natural Science Foundation of China U22A20479Natural Science Foundation of Ningbo Municipality 2022J069
6 · The paper itself

Abstract

Animal studies have shown that virus infection causes changes in host chromatin accessibility, but little is known about changes in chromatin accessibility of plants infected by viruses and its potential impact. Here, rice infected by rice stripe virus (RSV) was used to investigate virus-induced changes in chromatin accessibility. Our analysis identified a total of 6462 open- and 3587 closed-differentially accessible chromatin regions (DACRs) in rice under RSV infection by ATAC-seq. Additionally, by integrating ATAC-seq and RNA-seq, 349 up-regulated genes in open-DACRs and 126 down-regulated genes in closed-DACRs were identified, of which 34 transcription factors (TFs) were further identified by search of upstream motifs. Transcription levels of eight of these TFs were validated by reverse transcription-PCR. Importantly, four of these TFs (OsWRKY77, OsWRKY28, OsZFP12 and OsERF91) interacted with RSV proteins and are therefore predicted to play important roles in RSV infection. This is the first application of ATAC-seq and RNA-seq techniques to analyse changes in rice chromatin accessibility caused by RSV infection. Integrating ATAC-seq and RNA-seq provides a new approach to select candidate TFs in response to virus infection.

Indexed as

OryzaRespiratory Syncytial Virus InfectionsTenuivirusAnimalsChromatinChromatin Immunoprecipitation SequencingData AnalysisRNA-SeqTranscription FactorsChromatinTranscription FactorsATAC-seqinteractionricerice stripe virusRNA-seqtranscription factors

Identifiers

PMID38502176
PMCPMC10950023
OpenAlexW4392950615

What OpenQuestion holds

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LicenceCC BY-NC
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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.