Evidence map›Paper›PMID 34856930›Full record

ArticleBMC plant biology2021

Integrated transcriptome and small RNA sequencing analyses reveal a drought stress response network in Sophora tonkinensis.

Ying Liang, Kunhua Wei, Fan Wei, Shuangshuang Qin, Chuanhua Deng, Yang Lin, Mingjie Li, Li Gu, Guili Wei, Jianhua Miao and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 10 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

11 authors at 3 institutions in 1 country.

Ying LiangCollege of Agriculture, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou, 350002, People's Republic of China.
Kunhua WeiGuangxi key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, No. 189 Changgang Road, Xingning District, Nanning, 530023, People's Republic of China.
Fan WeiGuangxi key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, No. 189 Changgang Road, Xingning District, Nanning, 530023, People's Republic of China.
Shuangshuang QinGuangxi key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, No. 189 Changgang Road, Xingning District, Nanning, 530023, People's Republic of China.
Chuanhua DengGuangxi Forest Inventory and Planning Institute, Nanning, 530011, China.
Yang LinGuangxi key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, No. 189 Changgang Road, Xingning District, Nanning, 530023, People's Republic of China.
Mingjie LiCollege of Agriculture, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou, 350002, People's Republic of China.
Li GuCollege of Agriculture, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou, 350002, People's Republic of China.
Guili WeiGuangxi key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, No. 189 Changgang Road, Xingning District, Nanning, 530023, People's Republic of China.
Jianhua MiaoGuangxi key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, No. 189 Changgang Road, Xingning District, Nanning, 530023, People's Republic of China. mjh1962@vip.163.com.
Zhongyi ZhangCollege of Agriculture, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou, 350002, People's Republic of China. zyzhang@fafu.edu.cn.
Guangxi Medicinal Botanical Garden · CNFujian Agriculture and Forestry University · CNJiangxi Province Forestry Survey Planning Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSophora tonkinensis Gagnep is a traditional Chinese medical plant that is mainly cultivated in southern China. Drought stress is one of the major abiotic stresses that negatively impacts S. tonkinensis growth. However, the molecular mechanisms governing the responses to drought stress in S. tonkinensis at the transcriptional and posttranscriptional levels are not well understood.

resultsTo identify genes and miRNAs involved in drought stress responses in S. tonkinensis, both mRNA and small RNA sequencing was performed in root samples under control, mild drought, and severe drought conditions. mRNA sequencing revealed 66,476 unigenes, and the differentially expressed unigenes (DEGs) were associated with several key pathways, including phenylpropanoid biosynthesis, sugar metabolism, and quinolizidine alkaloid biosynthesis pathways. A total of 10 and 30 transcription factors (TFs) were identified among the DEGs under mild and severe drought stress, respectively. Moreover, small RNA sequencing revealed a total of 368 miRNAs, including 255 known miRNAs and 113 novel miRNAs. The differentially expressed miRNAs and their target genes were involved in the regulation of plant hormone signal transduction, the spliceosome, and ribosomes. Analysis of the regulatory network involved in the response to drought stress revealed 37 differentially expressed miRNA-mRNA pairs.

conclusionThis is the first study to simultaneously profile the expression patterns of mRNAs and miRNAs on a genome-wide scale to elucidate the molecular mechanisms of the drought stress responses of S. tonkinensis. Our results suggest that S. tonkinensis implements diverse mechanisms to modulate its responses to drought stress.

Indexed as

DroughtsStress, PhysiologicalGene Expression Regulation, PlantMicroRNAsRNA, PlantSequence Analysis, RNASophoraTranscriptomeMicroRNAsRNA, PlantDrought stressmiRNAmRNANext-generation sequencingSophora tonkinensisTranscription factor

Identifiers

PMID34856930
PMCPMC8641164
OpenAlexW3215834779

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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.