Evidence map›Paper›PMID 24892290›Full record

ArticlePloS one2014

Identification of maize long non-coding RNAs responsive to drought stress.

Wei Zhang, Zhaoxue Han, Qingli Guo, Yu Liu, Yuxian Zheng, Fangli Wu, Weibo Jin

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
–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

107 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Drought stress inFrontiers in plant science · 2026
    Review
  4. Regulatory Landscapes of Non-Coding RNAs During Drought Stress in Plants.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Genome-wide analysis of long non-coding RNAs involved in the fruit development process ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

47 more citing papers are in PubMed but not listed here.

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.

Wei ZhangCollege of Life Sciences, Northwest A&F University, Yangling, China.
Zhaoxue HanCollege of Life Sciences, Northwest A&F University, Yangling, China.
Qingli GuoCollege of Life Sciences, Northwest A&F University, Yangling, China.
Yu LiuCollege of Life Sciences, Northwest A&F University, Yangling, China.
Yuxian ZhengCollege of Life Sciences, Northwest A&F University, Yangling, China.
Fangli WuInstitute of Bioengineering, College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Weibo JinCollege of Life Sciences, Northwest A&F University, Yangling, China; Institute of Bioengineering, College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) represent a class of riboregulators that either directly act in long form or are processed to shorter miRNAs and siRNAs. Emerging evidence shows that lncRNAs participate in stress responsive regulation. In this study, to identify the putative maize lncRNAs responsive to drought stress, 8449 drought responsive transcripts were first uploaded to the Coding Potential Calculator website for classification as protein coding or non-coding RNAs, and 1724 RNAs were identified as potential non-coding RNAs. A Perl script was written to screen these 1724 ncRNAs and 664 transcripts were ultimately identified as drought-responsive lncRNAs. Of these 664 transcripts, 126 drought-responsive lncRNAs were highly similar to known maize lncRNAs; the remaining 538 transcripts were considered as novel lncRNAs. Among the 664 lncRNAs identified as drought responsive, 567 were upregulated and 97 were downregulated in drought-stressed leaves of maize. 8 lncRNAs were identified as miRNA precursor lncRNAs, 62 were classified as both shRNA and siRNA precursors, and 279 were classified as siRNA precursors. The remaining 315 lncRNAs were classified as other lncRNAs that are likely to function as longer molecules. Among these 315 lncRNAs, 10 are identified as antisense lncRNAs and 7 could pair with 17 CDS sequences with near-perfect matches. Finally, RT-qPCR results confirmed that all selected lncRNAs could respond to drought stress. These findings extend the current view on lncRNAs as ubiquitous regulators under stress conditions.

Indexed as

Base SequenceComputational BiologyDatabases, GeneticDown-RegulationDroughtsMicroRNAsPlant LeavesPlant RootsReal-Time Polymerase Chain ReactionRNA, Long NoncodingRNA, Small InterferingUp-RegulationZea maysMicroRNAsRNA, Long NoncodingRNA, Small Interfering

Identifiers

PMID24892290
PMCPMC4044008

What OpenQuestion holds

Textmetadata
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.