Evidence map›Paper›PMID 35743316›Full record

ArticleInternational journal of molecular sciences2022

Transcriptomic and Metabolomic Analysis of Seedling-Stage Soybean Responses to PEG-Simulated Drought Stress.

Xiyue Wang, Shuang Song, Xin Wang, Jun Liu, Shoukun Dong

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
11.3field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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  20. 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

5 authors at 2 institutions in 1 country.

Xiyue WangCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0002-8138-0775
Shuang SongCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Xin WangCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Jun LiuLab of Functional Genomics and Bioinformatics, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-1338-523X
Shoukun DongCollege of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Northeast Agricultural University · CNChinese Academy of Agricultural Sciences · CN

Funding

Ministry of Science and Technology of the People´s Republic of China 2018YFD1000903the Science and Technology Department of Heilongjiang Province LH2021C023
6 · The paper itself

Abstract

Soybean is an important crop grown worldwide, and drought stress seriously affects the yield and quality of soybean. Therefore, it is necessary to elucidate the molecular mechanisms underlying soybean resistance to drought stress. In this study, RNA-seq technology and ultra-performance liquid chromatography-tandem mass spectrometry were used to analyze the transcriptome and metabolome changes in soybean leaves at the seedling stage under drought stress. The results showed that there were 4790 and 3483 DEGs (differentially expressed genes) and 156 and 124 DAMs (differentially expressed metabolites), respectively, in the HN65CK vs. HN65S0 and HN44CK vs. HN44S0 comparison groups. Comprehensive analysis of transcriptomic and metabolomic data reveals metabolic regulation of seedling soybean in response to drought stress. Some candidate genes such as

Indexed as

DroughtsFabaceaeGene Expression ProfilingGene Expression Regulation, PlantGlycine maxPlant BreedingSeedlingsStress, PhysiologicalTranscriptomedrought stressomics analysisseedling stagesoybean

Identifiers

PMID35743316
PMCPMC9224651
OpenAlexW4283218252

What OpenQuestion holds

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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.