Evidence map›Paper›PMID 30442111›Full record

ArticleBMC genomics2018

MicroRNAs and their targets in cucumber shoot apices in response to temperature and photoperiod.

Xiaohui Zhang, Yunsong Lai, Wei Zhang, Jalil Ahmad, Yang Qiu, Xiaoxue Zhang, Mengmeng Duan, Tongjin Liu, Jiangping Song, Haiping Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. 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
1.7field-weighted citation impact, top 12% 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, 21 citations in OpenAlex.

  1. Review
  2. Article
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  6. Review
  7. Review
  8. Advance in sex differentiation in cucumber.Frontiers in plant science · 2023
    Review
  9. Article
  10. 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

11 authors at 4 institutions in 2 countries.

Xiaohui ZhangKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yunsong LaiKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Wei ZhangKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jalil AhmadKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yang QiuKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiaoxue ZhangKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Mengmeng DuanKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Tongjin LiuKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jiangping SongKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Haiping WangKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xixiang LiKey Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture; Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. lixixiang@caas.cn.
Chinese Academy of Agricultural Sciences · CNInstitute of Vegetables and Flowers · CNMinistry of Agriculture · IDInstitute of Pomology · CN

Funding

National Key Research and Development Program of China 2016YFD0100204National Natural Science Foundation of China 31171961Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ASTIP-IVFCAAS
6 · The paper itself

Abstract

backgroundThe cucumber is one of the most important vegetables worldwide and is used as a research model for study of phloem transport, sex determination and temperature-photoperiod physiology. The shoot apex is the most important plant tissue in which the cell fate and organ meristems have been determined. In this study, a series of whole-genome small RNA, degradome and transcriptome analyses were performed on cucumber shoot apical tissues treated with high vs. low temperature and long vs. short photoperiod.

resultsA total of 164 known miRNAs derived from 68 families and 203 novel miRNAs from 182 families were identified. Their 4611 targets were predicted using psRobot and TargetFinder, amongst which 349 were validated by degradome sequencing. Fourteen targets of six miRNAs were differentially expressed between the treatments. A total of eight known and 16 novel miRNAs were affected by temperature and photoperiod. Functional annotations revealed that "Plant hormone signal transduction" pathway was significantly over-represented in the miRNA targets. The miR156/157/SBP-Boxes and novel-mir153/ethylene-responsive transcription factor/senescence-related protein/aminotransferase/acyl-CoA thioesterase are the two most credible miRNA/targets combinations modulating the plant's responsive processes to the temperature-photoperiod changes. Moreover, the newly evolved, cucumber-specific novel miRNA (novel-mir153) was found to target 2087 mRNAs by prediction and has 232 targets proven by degradome analysis, accounting for 45.26-58.88% of the total miRNA targets in this plant. This is the largest sum of genes targeted by a single miRNA to the best of our knowledge.

conclusionsThese results contribute to a better understanding of the miRNAs mediating plant adaptation to combinations of temperature and photoperiod and sheds light on the recent evolution of new miRNAs in cucumber.

Indexed as

Gene Expression Regulation, PlantBase SequenceCucumis sativusGene Expression ProfilingGene OntologyGenes, PlantHigh-Throughput Nucleotide SequencingMeristemMicroRNAsPhotoperiodPlant ShootsRNA, PlantSequence Homology, Nucleic AcidTemperatureMicroRNAsRNA, PlantCucumbermiRNAsPhotoperiodShoot apexTemperature

Identifiers

PMID30442111
PMCPMC6238408
OpenAlexW2901031769

What OpenQuestion holds

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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.