Evidence map›Paper›PMID 25841643›Full record

ReviewPlanta2015

MicroRNAs in cotton: an open world needs more exploration.

Qinglian Wang, Baohong Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Planta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.2field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
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

2 authors at 2 institutions in 2 countries.

Qinglian WangHenan Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Sciences and Technology, Xinxiang, Henan, 453003, People's Republic of China.
Baohong Zhang
East Carolina University · USHenan Institute of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionThis paper reviews the progress and current problems in the field of cotton microRNAs. Cotton is not only one of the most important crops in terms of fiber usage and economic value, but also a model species for investigating cell wall and cellulose biosynthesis as well plant polyploidization. Compared with model plant species, such as Arabidopsis and rice, the research on cotton microRNAs (miRNAs) is lagging, although great progress has been made in the past decade. Since the first reports on identifying miRNAs in cotton in 2007, hundreds of miRNAs have been identified using an in silico comparative genome-based approach and direct cloning. Next-generation deep sequencing has opened the door for cotton miRNA research. In cotton, miRNAs are associated with many biological and metabolic processes, including fiber initiation and development, floral development, embryogenesis, and response to biotic and abiotic stresses. However, the majority of current research is focused on miRNA identification. Although several targets have been predicted using computational approaches and degradome sequencing, more functional studies should be performed in the next couple of years to elucidate the roles of miRNAs in cotton fiber development and response to different environmental stresses using transgenic technology. This paper reviews the history, identification, and function of cotton miRNAs as well as future directions for this research.

Indexed as

Cotton FiberEvolution, MolecularGossypiumMicroRNAsRNA, Small InterferingStress, PhysiologicalMicroRNAsRNA, Small Interfering

Identifiers

PMID25841643
OpenAlexW2042718013

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.