Evidence map›Paper›PMID 33081724›Full record

ArticleBMC plant biology2020

Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice.

Baiyang Yu, Jianbin Liu, Di Wu, Ying Liu, Weijian Cen, Shaokui Wang, Rongbai Li, Jijing Luo

Erratum issuedOpen access · goldAbstract 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. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Baiyang YuCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China.
Jianbin LiuCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China.
Di WuCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China.
Ying LiuCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China.
Weijian CenCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China.
Shaokui WangAgriculture College, South China Agricultural University, Guangzhou, 510642, China.
Rongbai LiCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China. lirongbai@126.com.
Jijing LuoCollege of Life Science and Technology (State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources), Guangxi University, Nanning, 530004, China. jjluo@gxu.edu.cn.ORCID http://orcid.org/0000-0001-5664-0881
Guangxi University · CNSouth China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrought stress is an adverse factor with deleterious effects on several aspects of rice growth. However, the mechanism underlying drought resistance in rice remains unclear. To understand the molecular mechanism of the drought response in rice, drought-sensitive CSSL (Chromosome Single-substitution Segment Line) PY6 was used to map QTLs of sensitive phenotypes and to reveal the impact of the QTLs on transcriptional profiling.

resultsThe QTL dss-1 was mapped onto the short arm of chromosome 1 of rice. According to transcriptomic analysis, the identified differentially expressed genes (DEGs) exhibited a downregulated pattern and were mainly enriched in photosynthesis-related GO terms, indicating that photosynthesis was greatly inhibited under drought. Further, according to weighted gene coexpression network analysis (WGCNA), specific gene modules (designating a group of genes with a similar expression pattern) were strongly correlated with H

conclusionsWe speculated that drought-induced photosynthetic inhibition leads to H

Indexed as

Abscisic AcidDehydrationGene Expression Regulation, PlantGenes, PlantHydrogen PeroxideMalondialdehydeOryzaPlant Growth RegulatorsPlant LeavesPlant StomataTranscriptomeAbscisic AcidHydrogen PeroxideMalondialdehydePlant Growth RegulatorsDEGs encoding WRKYs/PR proteinsDrought-sensitive phenotypeH2O2/MDA accumulationPhotosynthesis inhibitionRiceTranscriptomic profilingWGCNA

Identifiers

PMID33081724
PMCPMC7576772
OpenAlexW4244295912

What OpenQuestion holds

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LicenceCC BY
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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.