Evidence map›Paper›PMID 28155667›Full record

ArticleBMC systems biology2016

Clustering and evolutionary analysis of small RNAs identify regulatory siRNA clusters induced under drought stress in rice.

Inuk Jung, Hongryul Ahn, Seon-Ju Shin, Jukon Kim, Hawk-Bin Kwon, Woosuk Jung, Sun Kim

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Yield-graph: multi-stage growth-aware maize yield prediction via graph neural networks.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Understanding epigenomics based on the rice model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  7. 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

7 authors at 3 institutions in 1 country.

Inuk JungInterdisciplinary Program in Bioinformatics, Seoul National University, Gwanak-Gu, Seoul, 151-747, Republic of Korea.
Hongryul AhnDepartment of Computer Science and Engineering, Seoul National University, Gwanak-Gu, Seoul, 151-747, Republic of Korea.
Seon-Ju ShinDepartment of Biomedical Sciences, Sunmoon University, Asan, 336-708, Republic of Korea.
Jukon KimCrop Biotechnology Institute, Green Bio Science & Technology, Seoul National University, Gangwon, Republic of Korea.
Hawk-Bin KwonDepartment of Biomedical Sciences, Sunmoon University, Asan, 336-708, Republic of Korea.
Woosuk JungDepartment of Applied Bioscience, Konkuk University, Gwangjin-Gu, Seoul, Republic of Korea.
Sun KimInterdisciplinary Program in Bioinformatics, Seoul National University, Gwanak-Gu, Seoul, 151-747, Republic of Korea. sunkim.bioinfo@snu.ac.kr.
Seoul National University · KRSun Moon University · KRKonkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationDrought tolerance is an important trait related to growth and yield in crop. Until now, drought related research has focused on coding genes. However, non-coding RNAs also respond significantly to environmental stimuli such as drought stress. Unfortunately, characterizing the role of siRNAs under drought stress is difficult since a large number of heterogenous siRNA species are expressed under drought stress and non-coding RNAs have very weak evolutionary conservation. Thus, to characterize the role of siRNAs, we need a well designed biological and bioinformatics strategy. In this paper, to characterize the function of siRNAs we developed and used a bioinformatics pipeline that includes a genomic-location based clustering technique and an evolutionary conservation tool.

resultsBy comparing the wild type Nipponbare and two drought resistant rice varities, we found that 21 nt and 24 nt siRNAs are significantly expressed in the three rice plants but at different time points under a short-term (0, 1, and 6 hrs) drought treatment. siRNAs were up-regulated in the wild type at an early stage while the up-regulation was delayed in the two drought tolerant plants. Genes targeted by up-regulated siRNAs were related to oxidation reduction and proteolysis, which are well known to be associated with water deficit phenotypes. More interestingly, we found that siRNAs were located in intronic regions as clusters and were of high evolutionary conservation among monocot grass plants. In summary, we show that siRNAs are important respondents to drought stress and regulate genes related to the drought tolerance in water deficit conditions.

Indexed as

DroughtsEvolution, MolecularCluster AnalysisComputational BiologyConserved SequenceNucleotide MotifsOryzaRNA, MessengerRNA, Small InterferingStress, PhysiologicalRNA, MessengerRNA, Small InterferingClusterDehydrationRiceSiRNA

Identifiers

PMID28155667
PMCPMC5260113
OpenAlexW2567681715

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.