Evidence map›Paper›PMID 31907627›Full record

ArticlePlanta2020

Systematic identification of genes associated with plant growth-defense tradeoffs under JA signaling in Arabidopsis.

Nailou Zhang, Bin Zhao, Zhijin Fan, Dongyan Yang, Xiaofeng Guo, Qifan Wu, Bin Yu, Shuang Zhou, Haiying Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 47 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Nailou ZhangState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.ORCID http://orcid.org/0000-0003-0293-2875
Bin ZhaoState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Zhijin FanState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China. fanzj@nankai.edu.cn.
Dongyan YangState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Xiaofeng GuoState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Qifan WuState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Bin YuState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Shuang ZhouState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Haiying WangState Key Laboratory of Elemento-Organic Chemistry, College of Chemistry, Nankai University, No. 94 Weijin Road, Tianjin, 300071, People's Republic of China.
Nankai University · CN

Funding

Fundamental Research Funds for Central Universities of the Central South University (CN) No 63191743 and No 63191323he International Science & Technology Cooperation Program of China No. 2014DFR41030National Natural Science Foundation of China No. 31872007 and No. 31571991the National Key Research & Development Program of China No. 2017YFD0200900 and No. 2017YFD0200903the Tianjin Natural Science Foundation No. 18JCZDJC33500
6 · The paper itself

Abstract

MAIN

conclusionCo-expression and regulatory networks yield important insights into the growth-defense tradeoffs mechanism under jasmonic acid (JA) signals in Arabidopsis. Elevated defense is commonly associated with growth inhibition. However, a comprehensive atlas of the genes associated with the plant growth-defense tradeoffs under JA signaling is lacking. To gain an insight into the dynamic architecture of growth-defense tradeoffs, a coexpression network analysis was employed on publicly available high-resolution transcriptomes of Arabidopsis treated with coronatine (COR), a mimic of jasmonoyl-l-isoleucine. The genes involved in JA-mediated growth-defense tradeoffs were systematically revealed. Promoter enrichment analysis revealed the core regulatory module in which the genes underwent rapid activation, sustained upregulation after COR treatment, and mediated the growth-defense tradeoffs. Several transcription factors (TFs), including RAP2.6L, MYB44, WRKY40, and WRKY18, were identified as instantly activated components associated with pathogen and insect resistance. JA might rapidly activate RAV1 and KAN1 to repress brassinosteroid (BR) response genes, upregulate KAN1, the C2H2 TF families ZF2, ZF3, ZAT6, and STZ/ZAT10 to repress the biosynthesis, transport, and signaling of auxin to arrest growth. Independent datasets and preserved analyses validated the reproducibility of the results. Our study provided a comprehensive snapshot of genes that respond to JA signals and provided valuable resources for functional studies on the genetic modification of breeding population that exhibit robust growth and defense simultaneously.

Indexed as

Amino AcidsArabidopsisArabidopsis ProteinsCyclopentanesGene Expression Regulation, PlantIndenesOxylipinsSignal TransductionTranscription FactorsAmino AcidsArabidopsis ProteinscoronatineCyclopentanesIndenesjasmonic acidOxylipinsTranscription FactorsCoexpression networkCoronatinePromoter enrichment analysisRegulatory networkSystem biology

Identifiers

PMID31907627
OpenAlexW2997850491

What OpenQuestion holds

Textmetadata
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.