Evidence map›Paper›PMID 30609760›Full record

ArticleBiomolecules2019

Integrated Transcriptome Analysis Reveals Plant Hormones Jasmonic Acid and Salicylic Acid Coordinate Growth and Defense Responses upon Fungal Infection in Poplar.

Jie Luo, Wenxiu Xia, Pei Cao, Zheng'ang Xiao, Yan Zhang, Meifeng Liu, Chang Zhan, Nian Wang

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
12.3field-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

42 citing papers in PubMed, 119 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

8 authors at 1 institution in 1 country.

Jie LuoCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. luojie@mail.hzau.edu.cn.
Wenxiu XiaCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. xwxrencongzhong@163.com.
Pei CaoCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. caoly991@163.com.
Zheng'ang XiaoCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. xiaoza0815@163.com.
Yan ZhangCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. mint_19@163.com.
Meifeng LiuCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. mf_swag@163.com.
Chang ZhanCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. aurora0045@163.com.
Nian WangCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China. wangn@mail.hzau.edu.cn.
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have evolved a sophisticated system to respond to various stresses. Fungal attack or infection is one of the most important biotic stresses for most plants. During the defense response to fungal infection, the plant hormones jasmonic acid (JA) and salicylic acid (SA) play critical roles. Here, gene expression data on JA/SA treatments and Melampsora larici-populina (MLP) infection were generated. Integrated transcriptome analyses of these data were performed, and 943 genes in total were identified as common responsive genes (CRG). Gene ontology (GO) term analysis revealed that the genes from CRG are generally involved in the processes of stress responses, metabolism, and growth and development. The further cluster analysis of the CRG identified a set of core genes that are involved in the JA/SA-mediated response to fungal defense with distinct gene expression profiles upon JA/SA treatment, which highlighted the different effects of these two hormones on plant fungal defenses. The modifications of several pathways relative to metabolism, biotic stress, and plant hormone signal pathways suggest the possible roles of JA/SA on the regulation of growth and defense responses. Co-expression modules (CMs) were also constructed using the poplar expression data on JA, SA, M. larici-populina, Septoria musiva, and Marssonina brunnea treatment or infection. A total of 23 CMs were constructed, and different CMs clearly exhibited distinct biological functions, which conformably regulated the concerted processes in response to fungal defense. Furthermore, the GO term analysis of different CMs confirmed the roles of JA and SA in regulating growth and defense responses, and their expression profiles suggested that the growth ability was reduced when poplar deployed defense responses. Several transcription factors (TFs) among the CRG in the co-expression network were proposed as hub genes in regulating these processes. According to this study, our data finely uncovered the possible roles of JA/SA in regulating the balance between growth and defense responses by integrating multiple hormone signaling pathways. We were also able to provide more knowledge on how the plant hormones JA/SA are involved in the regulation of the balance between growth and plant defense.

Indexed as

Cluster AnalysisCyclopentanesFungiGene Expression ProfilingGene Expression Regulation, PlantOxylipinsPlant DiseasesPlant ProteinsPopulusRNA, PlantSalicylic AcidSignal TransductionTranscription FactorsCyclopentanesjasmonic acidOxylipinsPlant ProteinsRNA, PlantSalicylic AcidTranscription Factorsco-expression network constructiondefense regulationintegrated transcriptome analysisjasmonic acidpoplarsalicylic acid

Identifiers

PMID30609760
PMCPMC6358764
OpenAlexW2907810584

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.