Evidence map›Paper›PMID 31887119›Full record

ArticlePloS one2019

Comparative de novo transcriptomics and untargeted metabolomic analyses elucidate complicated mechanisms regulating celery (Apium graveolens L.) responses to selenium stimuli.

Chenghao Zhang, Baoyu Xu, Cheng-Ri Zhao, Junwei Sun, Qixian Lai, Chenliang Yu

Abstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

15 citing papers in PubMed.

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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

6 authors.

Chenghao ZhangInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Baoyu XuInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Cheng-Ri ZhaoDepartment of Horticulture & Landscape Architecture, Agricultural college of Yanbian University, Yanji, China.
Junwei SunCollege of Modern Science and Technology, China Jiliang University, Hangzhou, China.
Qixian LaiKey Labortatory of Creative Agricultrue, Ministry of Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Chenliang YuInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.ORCID 0000-0002-2403-4665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presently, concern regarding the effects of selenium (Se) on the environment and organisms worldwide is increasing. Too much Se in the soil is harmful to plants. In this study, Illumina RNA sequencing and the untargeted metabolome of control and Se-treated celery seedlings were analyzed. In total, 297,911,046 clean reads were obtained and assembled into 150,218 transcripts (50,876 unigenes). A total of 36,287 unigenes were annotated using different databases. Additionally, 8,907 differentially expressed genes, including 5,319 up- and 3,588 downregulated genes, were identified between mock and Se-treated plants. "Phenylpropanoid biosynthesis" was the most enriched KEGG pathway. A total of 24 sulfur and selenocompound metabolic unigenes were differentially expressed. Furthermore, 1,774 metabolites and 237 significant differentially accumulated metabolites were identified using the untargeted metabolomic approach. We conducted correlation analyses of enriched KEGG pathways of differentially expressed genes and accumulated metabolites. Our findings suggested that candidate genes and metabolites involved in important biological pathways may regulate Se tolerance in celery. The results increase our understanding of the molecular mechanism responsible for celery's adaptation to Se stress.

Indexed as

Gene Expression ProfilingMetabolomicsApiumDrug ToleranceGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationSeleniumSequence Analysis, RNAStress, PhysiologicalSelenium

Identifiers

PMID31887119
PMCPMC6936847

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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.