Evidence map›Paper›PMID 31349781›Full record

SynthesisBMC genetics2019

Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress.

Yuan Guo, Wenjing Ping, Jingtang Chen, Liying Zhu, Yongfeng Zhao, Jinjie Guo, Yaqun Huang

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Yuan GuoHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China.
Wenjing PingHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China.
Jingtang ChenHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China.
Liying ZhuHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China.
Yongfeng ZhaoHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China.
Jinjie GuoHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China.
Yaqun HuangHebei Branch of Chinese National Maize Improvement Center, Hebei Agricultural University, Baoding, People's Republic of China. hyqun@hebau.edu.cn.ORCID 0000-0002-5854-5033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tryptophan-arginine-lysine-tyrosine (WRKY) transcription factors play important roles in plants, allowing them to adapt to environmental conditions that are not normally conducive to plant growth; in particular, drought. There has been extensive research on WRKY transcription factors and the effects of their overexpression in plants on resistance to drought stress. However, due to the materials (the type and species of donor and receptor, promoters) and treatments (the type and time of stress) used, different and often confounding results have been obtained between studies. Meta-analysis is a powerful statistical tool that can be used to summarize results from numerous independent experiments on the same research topic while accounting for variability across experiments.

resultsWe carried out a meta-analysis of 16 measured parameters that affect drought resistance in plants overexpressing WRKY transcription factors and wild-type plants. We found that only one of these parameters was significantly different between transgenic and wild-type plants under drought and control conditions at a 95% confidence interval (p = 0.000, p = 0.009, respectively). Eleven of the sixteen parameters were obviously different in WRKY transgenic plants under drought and control conditions (SV, p = 0.023, SSC, p = 0.000, SOD, p = 0.012, SFW, p = 0.000, RL, p = 0.016, Pro, p = 0.000, POD, p = 0.027, MDA, p = 0.000, H

conclusionWe have found that only one of these parameters was significantly different between transgenic and wild-type plants under drought and control conditions respectively, at a 95% confidence interval. And eleven of sixteen parameters showed obviously different of WRKY-overexpressed plants under different conditions (water-stressed and normal), suggesting that WRKY transcription factors play an important role in plant responses to drought stress. These findings also provide a theoretical basis for further study of the role of WRKY transcription factors in the regulation of plant responses to environmental stress.

Indexed as

DroughtsGene ExpressionPlant ProteinsPlant RootsPlants, Genetically ModifiedStress, PhysiologicalSugarsTranscription FactorsPlant ProteinsSugarsTranscription FactorsDroughtMeta-analysisOver-expressWRKY transcription factors

Identifiers

PMID31349781
PMCPMC6660937

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Registered trials

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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.