Evidence map›Paper›PMID 24664280›Full record

ArticleFunctional & integrative genomics2014

Genome-wide analysis of water-stress-responsive microRNA expression profile in tobacco roots.

Fuqiang Yin, Jian Gao, Ming Liu, Cheng Qin, Wenyou Zhang, Aiguo Yang, Mingzhong Xia, Zhiming Zhang, Yaou Shen, Haijian Lin and 2 more

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.6field-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

21 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Comparative transcriptome study of switchgrass (Biotechnology for biofuels · 2020
    Article
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  18. OMICS Technologies and Applications in Sugar Beet.Frontiers in plant science · 2016
    Review
  19. Article
  20. 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

12 authors at 4 institutions in 1 country.

Fuqiang YinMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, 611130, China.
Jian Gao
Ming Liu
Cheng Qin
Wenyou Zhang
Aiguo Yang
Mingzhong Xia
Zhiming Zhang
Yaou Shen
Haijian Lin
Chenggang Luo
Guangtang Pan
Sichuan Agricultural University · CNXichang University · CNChinese Academy of Agricultural Sciences · CNTobacco Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play a pivotal role in post-transcriptional regulation of gene expression in plants. In this study, we investigate miRNAs in an agronomically important common tobacco in China, named Honghua Dajinyuan (a drought-tolerant cultivar). Here, we report a comprehensive analysis of miRNA expression profiles in mock-treat grown (CK) and 20 % polyethylene glycol-grown (PEG-grown) tobacco roots using a high-throughput sequencing approach. A total of 656 unique miRNAs representing 53 miRNA families were identified in the two libraries, of which 286 unique miRNAs representing 162 microRNAs were differentially expressed. In addition, nine differentially expressed microRNAs selected from different expressed miRNA family with high abundance were subjected to further analysis and validated by quantitative real-time PCR (Q-PCR). In addition, the expression pattern of these identified candidate conserved miRNA and target genes of three identified miRNA (nta-miR172b, nta-miR156i, and nta-miR160a) were also validated by Q-PCR. Gene ontology (GO) enrichment analysis suggests that the putative target genes of these differentially expressed miRNAs are involved in metabolic process and response to stimulus. In particular, 25 target genes are involved in regulating plant hormone signal transduction and metabolism, indicating that these association microRNAs may play important regulatory roles in responding to PEG resistance. Moreover, this study adds a significant number of novel miRNAs to the tobacco miRNome.

Indexed as

Gene Expression Regulation, PlantGenome, PlantDehydrationGene Expression ProfilingGene Expression Regulation, DevelopmentalGene LibraryMicroRNAsNicotianaPlant Growth RegulatorsPlant ProteinsPlant RootsPolyethylene GlycolsRNA, PlantSignal TransductionStress, PhysiologicalMicroRNAsPlant Growth RegulatorsPlant ProteinsPolyethylene GlycolsRNA, Plant

Identifiers

PMID24664280
OpenAlexW2080436141

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.