The Multiverse of Plant Small RNAs: How Can We Explore It?


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
02 Apr 2022
Historique:
received: 01 03 2022
revised: 28 03 2022
accepted: 31 03 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 14 4 2022
Statut: epublish

Résumé

Plant small RNAs (sRNAs) are a heterogeneous group of noncoding RNAs with a length of 20-24 nucleotides that are widely studied due to their importance as major regulators in various biological processes. sRNAs are divided into two main classes-microRNAs (miRNAs) and small interfering RNAs (siRNAs)-which differ in their biogenesis and functional pathways. Their identification and enrichment with new structural variants would not be possible without the use of various high-throughput sequencing (NGS) techniques, allowing for the detection of the total population of sRNAs in plants. Classifying sRNAs and predicting their functional role based on such high-performance datasets is a nontrivial bioinformatics task, as plants can generate millions of sRNAs from a variety of biosynthetic pathways. Over the years, many computing tools have been developed to meet this challenge. Here, we review more than 35 tools developed specifically for plant sRNAs over the past few years and explore some of their basic algorithms for performing tasks related to predicting, identifying, categorizing, and quantifying individual sRNAs in plant samples, as well as visualizing the results of these analyzes. We believe that this review will be practical for biologists who want to analyze their plant sRNA datasets but are overwhelmed by the number of tools available, thus answering the basic question of how to choose the right one for a particular study.

Identifiants

pubmed: 35409340
pii: ijms23073979
doi: 10.3390/ijms23073979
pmc: PMC8999349
pii:
doi:

Substances chimiques

MicroRNAs 0
RNA, Plant 0
RNA, Small Interfering 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union's Horizon research and innovation programme
ID : SGA-CSA No. 739582 under FPA No. 664620

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Auteurs

Zdravka Ivanova (Z)

Institute of Molecular Biology and Biotechnologies, 4108 Markovo, Bulgaria.

Georgi Minkov (G)

Institute of Molecular Biology and Biotechnologies, 4108 Markovo, Bulgaria.
Department of Plant Physiology and Molecular Biology, University of Plovdiv, 4000 Plovdiv, Bulgaria.

Andreas Gisel (A)

Institute of Biomedical Technologies (ITB), CNR, 70126 Bari, Italy.

Galina Yahubyan (G)

Department of Plant Physiology and Molecular Biology, University of Plovdiv, 4000 Plovdiv, Bulgaria.

Ivan Minkov (I)

Institute of Molecular Biology and Biotechnologies, 4108 Markovo, Bulgaria.
Center of Plant System Biology and Biotechnology, 4000 Plovdiv, Bulgaria.

Valentina Toneva (V)

Institute of Molecular Biology and Biotechnologies, 4108 Markovo, Bulgaria.
Department of Plant Physiology and Molecular Biology, University of Plovdiv, 4000 Plovdiv, Bulgaria.

Vesselin Baev (V)

Institute of Molecular Biology and Biotechnologies, 4108 Markovo, Bulgaria.
Department of Plant Physiology and Molecular Biology, University of Plovdiv, 4000 Plovdiv, Bulgaria.

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Classifications MeSH