Evidence map›Paper›PMID 32165650›Full record

ArticleScientific reports2020

Phenotypic and Transcriptomic Analysis of Two Pinellia ternata Varieties T2 line and T2Plus line.

Jun Lu, Jian Ning Liu, Surendra Sarsaiya, Gregory Joseph Duns, Jing Han, Leilei Jin, Jishuang Chen

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Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

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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

5 citing papers in PubMed, 11 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

7 authors at 4 institutions in 2 countries.

Jun LuCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211800, Jiangsu, China.
Jian Ning LiuKeGene Science & Technology Co. Ltd., Nantianmen Middle Road, Tai'an, 271018, China.ORCID http://orcid.org/0000-0002-8932-054X
Surendra SarsaiyaBioresource Institute for Healthy Utilization, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Gregory Joseph DunsCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211800, Jiangsu, China.
Jing HanCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211800, Jiangsu, China.
Leilei JinCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211800, Jiangsu, China.
Jishuang ChenCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211800, Jiangsu, China. biochenjs@njtech.edu.cn.
Nanjing Tech University · CNAir Canada · CANantong Science and Technology Bureau · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pinellia (Pinellia ternata (Thunb.) Breit.), as important medicinal plant, has been used to treat various ailments for a long time. The sixteen ploid plant (2n = 16 * 13 = 208) Pinellia T2Plus line was obtained from an octoploid (2n = 8 * 13 = 104) T2 line by chromosome-doubling technique. Compared with T2 line, the content of various medicinal components (polysaccharide, guanosine, adenosine and ephedrine) was increased in T2Plus line. In this study, the transcriptome of T2 line and T2Plus line were characterized by RNA sequencing (RNA-seq) technology. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis on differential expressed unigenes (DEGs) revealed that multiple metabolic pathway were enriched significantly, such as 'Starch and sucrose metabolism', 'Purine metabolism', 'Photosynthesis' and six transcription factors (MYB, WRKY, bHLH, lateral organ boundaries domain (LBD), homeodomain-zipper (HD-ZIP) and Ethylene-responsive factor (ERF)) play a key role in difference of transcriptome between T2 line and T2Plus line. These metabolic pathways and transcription factors may play an important role in the difference of medicinal components and epigenetic features between these two Pinellia cultivars. This conclusion provides a robust theoretical basis for the mechanism of the formation of medicinal ingredients in Pinellia cultivars.

Indexed as

Gene Expression ProfilingPhenotypeTranscriptomeComputational BiologyEnergy MetabolismGene Expression Regulation, PlantGenes, PlantMetabolic Networks and PathwaysPhotosynthesisPinelliaPlants, Medicinal

Identifiers

PMID32165650
PMCPMC7067869
OpenAlexW3011725279

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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.