Evidence map›Paper›PMID 33526028›Full record

ArticleBMC plant biology2021

Dynamic characteristics and functional analysis provide new insights into long non-coding RNA responsive to Verticillium dahliae infection in Gossypium hirsutum.

Guoning Wang, Xingfen Wang, Yan Zhang, Jun Yang, Zhikun Li, Lizhu Wu, Jinhua Wu, Nan Wu, Lixia Liu, Zhengwen Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  7. Exploring the Regulatory Dynamics ofInternational journal of molecular sciences · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Interactions betweenFrontiers in plant science · 2023
    Review
  12. The Conservation of Long Intergenic Non-Coding RNAs and Their Response toInternational journal of molecular sciences · 2022
    Article
  13. Plant Responses to Herbivory, Wounding, and Infection.International journal of molecular sciences · 2022
    Review
  14. Article
  15. International journal of molecular sciences · 2022
    Article
  16. Article
  17. 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

14 authors at 1 institution in 1 country.

Guoning WangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Xingfen WangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Yan ZhangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Jun YangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Zhikun LiState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Lizhu WuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Jinhua WuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Nan WuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Lixia LiuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Zhengwen LiuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Man ZhangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Liqiang WuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China.
Guiyin ZhangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China. mhyzh@hebau.edu.cn.
Zhiying MaState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071001, China. mzhy@hebau.edu.cn.
Hebei Agricultural University · CN

Funding

the Fund of the China Agriculture Research System CARS-15-03the National Natural Science Foundation of China 31871672the Outstanding Youth Fund of Hebei Province C2019204365the Science and Technology Program of Baoding, China 1911ZN011the Science and Technology Support Program of Hebei Province 16226307D
6 · The paper itself

Abstract

backgroundVerticillium wilt is a widespread and destructive disease, which causes serious loss of cotton yield and quality. Long non-coding RNA (lncRNA) is involved in many biological processes, such as plant disease resistance response, through a variety of regulatory mechanisms, but their possible roles in cotton against Verticillium dahliae infection remain largely unclear.

resultsHere, we measured the transcriptome of resistant G. hirsutum following infection by V. dahliae and 4277 differentially expressed lncRNAs (delncRNAs) were identified. Localization and abundance analysis revealed that delncRNAs were biased distribution on chromosomes. We explored the dynamic characteristics of disease resistance related lncRNAs in chromosome distribution, induced expression profiles, biological function, and these lncRNAs were divided into three categories according to their induced expression profiles. For the delncRNAs, 687 cis-acting pairs and 14,600 trans-acting pairs of lncRNA-mRNA were identified, which indicated that trans-acting was the main way of Verticillium wilt resistance-associated lncRNAs regulating target mRNAs in cotton. Analyzing the regulation pattern of delncRNAs revealed that cis-acting and trans-acting lncRNAs had different ways to influence target genes. Gene Ontology (GO) enrichment analysis revealed that the regulatory function of delncRNAs participated significantly in stimulus response process, kinase activity and plasma membrane components. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that delncRNAs participated in some important disease resistance pathways, such as plant-pathogen interaction, alpha-linolenic acid metabolism and plant hormone signal transduction. Additionally, 21 delncRNAs and 10 target genes were identified as being involved in alpha-linolenic acid metabolism associated with the biosynthesis of jasmonic acid (JA). Subsequently, we found that GhlncLOX3 might regulate resistance to V. dahliae through modulating the expression of GhLOX3 implicated in JA biosynthesis. Further functional analysis showed that GhlncLOX3-silenced seedlings displayed a reduced resistance to V. dahliae, with down-regulated expression of GhLOX3 and decreased content of JA.

conclusionThis study shows the dynamic characteristics of delncRNAs in multiaspect, and suggests that GhlncLOX3-GhLOX3-JA network participates in response to V. dahliae invasion. Our results provide novel insights for genetic improvement of Verticillium wilt resistance in cotton using lncRNAs.

Indexed as

Base SequenceChromosomes, PlantCyclopentanesDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantGossypiumOxylipinsPlant DiseasesPlant ProteinsPlant RootsRNA, Long NoncodingRNA, MessengerTime FactorsVerticilliumCyclopentanesjasmonic acidOxylipinsPlant ProteinsRNA, Long NoncodingRNA, MessengerCottonlncRNALOXResistanceVerticillium dahliae

Identifiers

PMID33526028
PMCPMC7852192
OpenAlexW3126277699

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.