Evidence map›Paper›PMID 25371507›Full record

ArticleJournal of experimental botany2015

Deep sequencing reveals important roles of microRNAs in response to drought and salinity stress in cotton.

Fuliang Xie, Qinglian Wang, Runrun Sun, Baohong Zhang

Abstract read
In one paragraph

Article in Journal of experimental botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

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

  1. Pooled it
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  5. The Gibberellin 2-Oxidase GeneInternational journal of molecular sciences · 2026
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60 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

4 authors.

Fuliang XieDepartment of Biology, East Carolina University, Greenville, NC 27858, USA.
Qinglian WangHenan Institute of Sciences and Technology, Xinxiang, Henan 453003, PR China.
Runrun SunDepartment of Biology, East Carolina University, Greenville, NC 27858, USA Henan Institute of Sciences and Technology, Xinxiang, Henan 453003, PR China.
Baohong ZhangDepartment of Biology, East Carolina University, Greenville, NC 27858, USA zhangb@ecu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought and salinity are two major environmental factors adversely affecting plant growth and productivity. However, the regulatory mechanism is unknown. In this study, the potential roles of small regulatory microRNAs (miRNAs) in cotton response to those stresses were investigated. Using next-generation deep sequencing, a total of 337 miRNAs with precursors were identified, comprising 289 known miRNAs and 48 novel miRNAs. Of these miRNAs, 155 miRNAs were expressed differentially. Target prediction, Gene Ontology (GO)-based functional classification, and Kyoto Encyclopedia of Genes and Genomes (KEGG)-based functional enrichment show that these miRNAs might play roles in response to salinity and drought stresses through targeting a series of stress-related genes. Degradome sequencing analysis showed that at least 55 predicted target genes were further validated to be regulated by 60 miRNAs. CitationRank-based literature mining was employed to determinhe the importance of genes related to drought and salinity stress. The NAC, MYB, and MAPK families were ranked top under the context of drought and salinity, indicating their important roles for the plant to combat drought and salinity stress. According to target prediction, a series of cotton miRNAs are associated with these top-ranked genes, including miR164, miR172, miR396, miR1520, miR6158, ghr-n24, ghr-n56, and ghr-n59. Interestingly, 163 cotton miRNAs were also identified to target 210 genes that are important in fibre development. These results will contribute to cotton stress-resistant breeding as well as understanding fibre development.

Indexed as

DroughtsSalt ToleranceData MiningGene OntologyGossypiumHigh-Throughput Nucleotide SequencingMicroRNAsMolecular Sequence DataRNA, PlantSeedlingsSequence Analysis, RNAStress, PhysiologicalMicroRNAsRNA, PlantCottondeep sequencingdroughtfibreliterature miningmicroRNAsalinity.

Identifiers

PMID25371507
PMCPMC4321542

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Registered trials

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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.