Evidence map›Paper›PMID 30800341›Full record

ArticleRoyal Society open science2019

Identification of copper (Cu) stress-responsive grapevine microRNAs and their target genes by high-throughput sequencing.

Songtao Jiu, Xiangpeng Leng, Muhammad Salman Haider, Tianyu Dong, Le Guan, Zhenqiang Xie, Xiaopeng Li, Lingfei Shangguan, Jinggui Fang

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. MicroRNA gatekeepers: Orchestrating rhizospheric dynamics.Journal of integrative plant biology · 2025
    Review
  6. Article
  7. microRNAs: Key Players in Plant Response to Metal Toxicity.International journal of molecular sciences · 2022
    Review
  8. MicroRNA Mediated Plant Responses to Nutrient Stress.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

9 authors at 2 institutions in 1 country.

Songtao JiuKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.ORCID 0000-0003-4584-7339
Xiangpeng LengCollege of Horticulture, Qingdao Agricultural University, Qingdao, Shandong Province, People's Republic of China.
Muhammad Salman HaiderKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Tianyu DongKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Le GuanKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Zhenqiang XieKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Xiaopeng LiKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Lingfei ShangguanKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Jinggui FangKey Laboratory of Genetics and Fruit development, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu Province, People's Republic of China.
Nanjing Agricultural University · CNQingdao Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of single-stranded non-coding small RNAs (sRNAs) that are 20-24 nucleotides (nt) in length. Extensive studies have indicated that miRNAs play important roles in plant growth, development and stress responses. With more copper (Cu) and copper containing compounds used as bactericides and fungicides in plants, Cu stress has become one of the serious environmental problems that affect plant growth and development. In order to uncover the hidden response mechanisms of Cu stress, two small RNA libraries were constructed from Cu-treated and water-treated (Control) leaves of 'Summer Black' grapevine. Following high-throughput sequencing and filtering, a total of 158 known and 98 putative novel miRNAs were identified in the two libraries. Among these, 100 known and 47 novel miRNAs were identified as differentially expressed under Cu stress. Subsequently, the expression patterns of nine Cu-responsive miRNAs were validated by quantitative real-time PCR (qRT-PCR). There existed some consistency in expression levels of Cu-responsive miRNAs between high throughput sequencing and qRT-PCR assays. The targets prediction of miRNAs indicates that miRNA may regulate some transcription factors, including AP2, SBP, NAC, MYB and ARF during Cu stress. The target genes for two known and two novel miRNAs showed specific cleavage sites at the 10th and/or 11th nucleotide from the 5'-end of the miRNA corresponding to their miRNA complementary sequences. The findings will lay the foundation for exploring the role of the regulation of miRNAs in response to Cu stress and provide valuable gene information for breeding some Cu-tolerant grapevine cultivars.

Indexed as

Cu stressgrapevinehigh-throughput sequencingmicroRNAs

Identifiers

PMID30800341
PMCPMC6366190
OpenAlexW2912542209

What OpenQuestion holds

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LicenceCC BY
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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.