Evidence map›Paper›PMID 31259355›Full record

ArticleGenetics and molecular biology

De novo transcriptome analysis of Tibetan medicinal plant Dysphania schraderiana.

Suhong Fu, Ming Lei, Yongqun Zhang, Zhaomin Deng, Jing Shi, Doudou Hao

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. First EST-SSRs ofPlants (Basel, Switzerland) · 2025
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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 at 2 institutions in 2 countries.

Suhong FuMolecular Medical Laboratory, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.
Ming LeiSchool of Science, Tibet University, Lhasa, China.
Yongqun ZhangMolecular Medical Laboratory, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.ORCID http://orcid.org/0000-0001-6707-0853
Zhaomin DengMolecular Medical Laboratory, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.
Jing ShiMolecular Medical Laboratory, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.
Doudou HaoMolecular Medical Laboratory, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.
Laboratory of Molecular Genetics · PLTibet University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysphania schraderiana is widely distributed in Lhasa (Tibet, China) and used as a traditional medicine. However, the lack of genetic information hinders the understanding of its physiological processes, such as the biosynthesis of secondary metabolites. Herein, we used Illumina Hiseq4000 platform to sequence the transcriptome of flower and leaf tissues from D. schraderiana for the first time. Totally, 40,142 unigenes were assembled from approximately 5.2 million clean reads. All unigenes underwent gene prediction and were subsequently annotated in a NR (NCBI non-redundant protein) database, COG (Clusters of Orthologous Groups of proteins) database, and KEGG (Kyoto Encyclopedia of Genes and Genomes) database. Among the 40,142 unigenes, 2,579 genes were identified as differentially expressed between flowers and leaves, and used in further enrichment analysis. Also, 2,156 unigenes were annotated as transcription factors. Furthermore, our transcriptome analysis resulted in the identification of candidate unigenes annotated to enzymes involved in terpenoid biosynthesis. Taken together, this work has laid the foundation for the investigation of secondary metabolite biosynthesis and other physiological processes of D. schraderiana.

Identifiers

PMID31259355
PMCPMC6726160
OpenAlexW2952680695

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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.