Evidence map›Paper›PMID 32600430›Full record

ArticleBMC plant biology2020

Identification of small RNAs during cold acclimation in Arabidopsis thaliana.

Bhavika Tiwari, Kristin Habermann, M Asif Arif, Heinrich Lukas Weil, Antoni Garcia-Molina, Tatjana Kleine, Timo Mühlhaus, Wolfgang Frank

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.6field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  17. Identification of MicroRNAs inBioMed research international · 2021
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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

8 authors at 2 institutions in 1 country.

Bhavika TiwariDepartment of Biology I, Plant Molecular Cell Biology, Ludwig-Maximilians-Universität München, LMU Biocenter, Großhaderner Str. 2-4, 82152, Planegg-Martinsried, Germany.
Kristin HabermannDepartment of Biology I, Plant Molecular Cell Biology, Ludwig-Maximilians-Universität München, LMU Biocenter, Großhaderner Str. 2-4, 82152, Planegg-Martinsried, Germany.
M Asif ArifDepartment of Biology I, Plant Molecular Cell Biology, Ludwig-Maximilians-Universität München, LMU Biocenter, Großhaderner Str. 2-4, 82152, Planegg-Martinsried, Germany.
Heinrich Lukas WeilComputational Systems Biology, Technische Universität Kaiserslautern, Paul-Ehrlich-Straße 23, 67663, Kaiserslautern, Germany.
Antoni Garcia-MolinaDepartment of Biology I, Plant Molecular Biology, Ludwig-Maximilians-Universität München, LMU Biocenter, Großhaderner Str. 2-4, 82152, Planegg-Martinsried, Germany.
Tatjana KleineDepartment of Biology I, Plant Molecular Biology, Ludwig-Maximilians-Universität München, LMU Biocenter, Großhaderner Str. 2-4, 82152, Planegg-Martinsried, Germany.
Timo MühlhausComputational Systems Biology, Technische Universität Kaiserslautern, Paul-Ehrlich-Straße 23, 67663, Kaiserslautern, Germany.
Wolfgang FrankDepartment of Biology I, Plant Molecular Cell Biology, Ludwig-Maximilians-Universität München, LMU Biocenter, Großhaderner Str. 2-4, 82152, Planegg-Martinsried, Germany. wolfgang.frank@lmu.de.
Ludwig-Maximilians-Universität München · DEUniversity of Kaiserslautern · DE

Funding

Deutsche Forschungsgemeinschaft SFB-TRR175; project C01Deutsche Forschungsgemeinschaft SFB-TRR175; project C03Deutsche Forschungsgemeinschaft SFB-TRR175; project D02
6 · The paper itself

Abstract

backgroundCold stress causes dynamic changes in gene expression that are partially caused by small non-coding RNAs since they regulate protein coding transcripts and act in epigenetic gene silencing pathways. Thus, a detailed analysis of transcriptional changes of small RNAs (sRNAs) belonging to all known sRNA classes such as microRNAs (miRNA) and small interfering RNA (siRNAs) in response to cold contributes to an understanding of cold-related transcriptome changes.

resultWe subjected A. thaliana plants to cold acclimation conditions (4 °C) and analyzed the sRNA transcriptomes after 3 h, 6 h and 2 d. We found 93 cold responsive differentially expressed miRNAs and only 14 of these were previously shown to be cold responsive. We performed miRNA target prediction for all differentially expressed miRNAs and a GO analysis revealed the overrepresentation of miRNA-targeted transcripts that code for proteins acting in transcriptional regulation. We also identified a large number of differentially expressed cis- and trans-nat-siRNAs, as well as sRNAs that are derived from long non-coding RNAs. By combining the results of sRNA and mRNA profiling with miRNA target predictions and publicly available information on transcription factors, we reconstructed a cold-specific, miRNA and transcription factor dependent gene regulatory network. We verified the validity of links in the network by testing its ability to predict target gene expression under cold acclimation.

conclusionIn A. thaliana, miRNAs and sRNAs derived from cis- and trans-NAT gene pairs and sRNAs derived from lncRNAs play an important role in regulating gene expression in cold acclimation conditions. This study provides a fundamental database to deepen our knowledge and understanding of regulatory networks in cold acclimation.

Indexed as

AcclimatizationArabidopsisCold TemperatureGene Expression Regulation, PlantGene OntologyGene Regulatory NetworksGenes, PlantRNA, PlantRNA, Small UntranslatedTranscriptomeRNA, PlantRNA, Small UntranslatedArabidopsis thalianaCold acclimationGene regulationmiRNA-transcription factor networkRNA sequencingSmall non-coding RNA

Identifiers

PMID32600430
PMCPMC7325139
OpenAlexW3037124603

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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.