Evidence map›Paper›PMID 32381024›Full record

ArticleBMC plant biology2020

Cloning, molecular and functional characterization by overexpression in Arabidopsis of MAPKK genes from grapevine (Vitis vinifera).

Gang Wang, Ying-Hai Liang, Ji-Yu Zhang, Zong-Ming Max Cheng

Abstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

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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

12 citing papers in PubMed.

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  8. International journal of molecular sciences · 2024
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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

4 authors.

Gang WangCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Ying-Hai LiangInstitute of Pomology, Jilin Academy of Agricultural Sciences, Gong Zhuling, Jilin Province, 136100, China.
Ji-Yu ZhangInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, Jiangsu, China.
Zong-Ming Max ChengCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China. zcheng@utk.edu.

Funding

Fundamental Research Funds for the Central Universities KYZ201843Natural Science Foundation of Jiangsu Province BK20171328State Key Laboratory of Crop Genetics and Germplasm Enhancement ZW201813
6 · The paper itself

Abstract

backgroundThe mitogen-activated protein kinases (MAPKs), as a part of the MAPKKK-MAPKK-MAPK cascade, play crucial roles in plant development as an intracellular signal transduction pathway to respond various environmental signals. However, few MAPKK have been functionally characterized in grapevine.

resultsIn the study, five MAPKK (MKK) members were identified in grapevine (cultivar 'Pinot Noir'), cloned and designated as VvMKK1-VvMKK5. A phylogenetic analysis grouped them into four sub-families based on the similarity of their conserved motifs and gene structure to Arabidopsis MAPKK members. qRT-PCR results indicated that the expression of VvMKK1, VvMKK2, VvMKK4, and VvMKK5 were up-regulated in mature leaf and young blades, and roots, but exhibited low expression in leaf petioles. VvMKK2, VvMKK3, and VvMKK5 genes were differentially up-regulated when grapevine leaves were inoculated with spores of Erisyphe necator, or treated with salicylic acid (SA), ethylene (ETH), H

conclusionsResults of the present investigation provide a better understanding of the interaction and function of MAPKKK-MAPKK-MAPK genes at the transcriptional level in grapevine and led to the identification of candidate genes for drought and salt stress in grapes.

Indexed as

ArabidopsisCloning, MolecularGenes, PlantMitogen-Activated Protein Kinase KinasesPlant ProteinsPlants, Genetically ModifiedStress, PhysiologicalVitisMitogen-Activated Protein Kinase KinasesPlant ProteinsExpression analysisGrapevineMitogen-activated protein kinase kinase (MAPKK/MKK)Salt and drought stressesTransgenic plants

Identifiers

PMID32381024
PMCPMC7203792

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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.