Evidence map›Paper›PMID 35475547›Full record

ArticleThe plant genome2022

An organ-specific transcriptomic atlas of the medicinal plant Bletilla striata: Protein-coding genes, microRNAs, and regulatory networks.

Xiaoxia Ma, Kehua Tang, Zhonghai Tang, Aiwen Dong, Hang Xiao, Yijun Meng, Pu Wang

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2022. 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
2.3field-weighted citation impact, top 13% 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, 13 citations in OpenAlex.

  1. Analysis of the miRNA Transcriptome inInternational journal of molecular sciences · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. MicroRNAs in Medicinal Plants.International journal of molecular sciences · 2022
    Review
  6. Article
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 5 institutions in 2 countries.

Xiaoxia MaCollege of Pharmaceutical Science, Zhejiang Univ. of Technology, Hangzhou, 310014, China.
Kehua TangKey Laboratory of Hunan Forest Products and Chemical Industry Engineering, Jishou Univ., Zhangjiajie, 427000, China.
Zhonghai TangCollege of Food Science and Technology, Hunan Agricultural Univ., Changsha, 410128, China.
Aiwen DongKey Laboratory of Hunan Forest Products and Chemical Industry Engineering, Jishou Univ., Zhangjiajie, 427000, China.
Hang XiaoDep. of Food Science, Univ. of Massachusetts, Amherst, MA, 01003, USA.
Yijun MengCollege of Life and Environmental Sciences, Hangzhou Normal Univ., Hangzhou, 311121, China.
Pu WangCollege of Pharmaceutical Science, Zhejiang Univ. of Technology, Hangzhou, 310014, China.ORCID 0000-0002-2680-4352
Hangzhou Normal University · CNJishou University · CNHunan Agricultural University · CNUniversity of Massachusetts Amherst · USZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the important species belonging to the Bletilla genus of Orchidaceae, Bletilla striata (Thunb.) Rchb. f., possesses both ornamental and medicinal values. Its dried tubers are used as a traditional Chinese medicine, and several secondary metabolites have been indicated to be the active ingredients. However, the molecular mechanisms related to the regulation of secondary metabolism have not been characterized in B. striata. In this study, integrated analysis of RNA sequencing (RNA-seq), small RNA sequencing (sRNA-seq), and degradome sequencing (degradome-seq) data from three organs (leaf, root, and tuber) of B. striata provided us with a comprehensive view of the microRNA (miRNA)-mediated regulatory network. Firstly, based on the RNA-seq data, the organ-specific expression patterns of the protein-coding genes, especially for those related to secondary metabolism, were investigated. Secondly, 342 conserved miRNA candidates were identified from B. striata. These miRNAs were assigned to 88 families, some of which were selected for expression pattern analysis. Additionally, 31 hairpin-structured precursors encoding 23 novel miRNAs were uncovered from the transcriptome assembly. Thirdly, based on the degradome signatures, 1,142 validated miRNA-target pairs (involving 167 conserved miRNAs and six novel miRNAs and 51 target genes) were included in the regulatory network. Organ-specific expression level comparison between the miRNAs and their targets revealed some interesting miRNA-target pairs. Fourthly, some valuable subnetworks were extracted for further functional studies. Additionally, some regulatory pathways were indicated to be monocot specific. Summarily, our results lay a solid basis for in-depth studies on the regulatory mechanisms underlying the production of the medicinal ingredients in B. striata.

Indexed as

MicroRNAsOrchidaceaePlants, MedicinalRNA, PlantTranscriptomeMicroRNAsRNA, Plant

Identifiers

PMID35475547
PMCPMC12807252
OpenAlexW4224936659

What OpenQuestion holds

Textmetadata
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.