Evidence map›Paper›PMID 27724902›Full record

ArticleBMC genomics2016

Identification and differential regulation of microRNAs in response to methyl jasmonate treatment in Lycoris aurea by deep sequencing.

Sheng Xu, Yumei Jiang, Ning Wang, Bing Xia, Yilong Jiang, Xiaodan Li, Zhengzhi Zhang, Yikui Li, Ren Wang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.5field-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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Analysis of the miRNA Transcriptome inInternational journal of molecular sciences · 2025
    Article
  2. Article
  3. MicroRNAs in Medicinal Plants.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. MicroRNAome Profile ofInternational journal of molecular sciences · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. 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

9 authors at 4 institutions in 2 countries.

Sheng XuInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Yumei JiangInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Ning WangNational Center for Soybean Improvement/Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Nanjing Agricultural University, Nanjing, 210095, China.
Bing XiaInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Yilong JiangInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Xiaodan LiInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Zhengzhi ZhangNational Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA.
Yikui LiInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.
Ren WangInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China. jswangren@aliyun.com.
Institute of Botany · CNChinese Academy of Sciences · CNNanjing Agricultural University · CNUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLycoris aurea is a medicine-valuable and ornamental herb widely distributed in China. Former studied have showed that methyl jasmonate (MJ) treatment could increase the content of glanthamine-a worldwide medicine for symptomatic treatment of Alzheimer's disease in genus Lycoris plants. To explore the possible role of miRNAs in the regulation of jasmonic acid signaling pathway and uncover their potential correlations, we investigated the expression profiles of small RNAs (sRNAs) and their targets in Lycoris aurea, with MJ treatment by using next-generation deep sequencing.

resultsA total of 365 miRNAs were identified, comprising 342 known miRNAs (representing 60 miRNA families) and 23 novel miRNAs. Among them, 143 known and 11 novel miRNAs were expressed differently under MJ treatment. Quantitative real-time PCR of eight selected miRNAs validated the expression pattern of these loci in response to MJ treatment. In addition, degradome sequencing analysis showed that 32 target genes were validated to be targeted by the 49 miRNAs, respectively. Gene function and pathway analyses showed that these targets such as auxin response factors (ARFs), squamosa promoter-binding like (SPL) proteins, basic helix-loop-helix (bHLH) proteins, and ubiquitin-conjugating enzyme E2 are involved in different plant processes, indicating miRNAs mediated regulation might play important roles in L. aurea response to MJ treatment. Furthermore, several L. aurea miRNAs associated with their target genes that might be involved in Amaryllidaceae alkloids biosynthehsis were also analyzed.

conclusionsA number of miRNAs with diverse expression patterns, and complex relationships between expression of miRNAs and targets were identified. This study represents the first transcriptome-based analysis of miRNAs in Lycoris and will contribute to understanding the potential roles of miRNAs involved in regulation of MJ response.

Indexed as

RNA, PlantAcetatesCluster AnalysisComputational BiologyCyclopentanesEvolution, MolecularGene Expression ProfilingGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingLycorisMicroRNAsOxylipinsPlant Growth RegulatorsReproducibility of ResultsTranscriptomeAcetatesCyclopentanesmethyl jasmonateMicroRNAsOxylipinsPlant Growth RegulatorsRNA, PlantAmaryllidaceae alkaloidsDeep sequencingDegradomeLycoris aureaMethyl jasmonateMicroRNA

Identifiers

PMID27724902
PMCPMC5057397
OpenAlexW2531181969

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.