Evidence map›Paper›PMID 28406444›Full record

ArticleGenes2017

Identification of Drought-Responsive MicroRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing.

Yue Li, Liqiang Wan, Shuyi Bi, Xiufu Wan, Zhenyi Li, Jing Cao, Zongyong Tong, Hongyu Xu, Feng He, Xianglin Li

Abstract read
In one paragraph

Article in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Frontiers in plant science · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. The miRNA-mRNA Regulatory Modules ofInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  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

10 authors.

Yue LiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. liyue_s@163.com.
Liqiang WanInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. wanliqiang@caas.cn.
Shuyi BiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. bsy9239@163.com.
Xiufu WanInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. xiufuwan@163.com.
Zhenyi LiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. lizhenyily@163.com.
Jing CaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. pandajing0919@163.com.
Zongyong TongInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. dradon.tong@163.com.
Hongyu XuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. xhy_rensheng@163.com.
Feng HeInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. hefeng@caas.cn.
Xianglin LiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China. lixl@iascaas.net.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alfalfa, an important forage legume, is an ideal crop for sustainable agriculture and a potential crop for bioenergy resources. Drought, one of the most common environmental stresses, substantially affects plant growth, development, and productivity. MicroRNAs (miRNAs) are newly discovered gene expression regulators that have been linked to several plant stress responses. To elucidate the role of miRNAs in drought stress regulation of alfalfa, a high-throughput sequencing approach was used to analyze 12 small RNA libraries comprising of four samples, each with three biological replicates. From the 12 libraries, we identified 348 known miRNAs belonging to 80 miRNA families, and 281 novel miRNAs, using Mireap software. Eighteen known miRNAs in roots and 12 known miRNAs in leaves were screened as drought-responsive miRNAs. With the exception of miR319d and miR157a which were upregulated under drought stress, the expression pattern of drought-responsive miRNAs was different between roots and leaves in alfalfa. This is the first study that has identified miR3512, miR3630, miR5213, miR5294, miR5368 and miR6173 as drought-responsive miRNAs. Target transcripts of drought-responsive miRNAs were computationally predicted. All 447 target genes for the known miRNAs were predicted using an online tool. This study provides a significant insight on understanding drought-responsive mechanisms of alfalfa.

Indexed as

alfalfadifferential expressiondroughtmicroRNAsmall RNA

Identifiers

PMID28406444
PMCPMC5406866

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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.