MicroRNAs in plant-parasitic nematodes: what are they and why should we care?
oraz
24 wrz 2025
O artykule
Kategoria artykułu: Review
Data publikacji: 24 wrz 2025
Otrzymano: 17 cze 2025
DOI: https://doi.org/10.2478/jofnem-2025-0041
Słowa kluczowe
© 2025 Dave T. Ste-Croix et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1:

Tools and databases commonly used in the study of non-model organisms’ miRNAs_
miRBase | The primary repository for miRNA sequences and annotation. | ||
MirGeneDB | High-confidence, manually curated miRNA gene database. | ||
Rfam | Database of ncRNA families from a wide array of species. | ||
TargetWormScan | Searchable database of predicted regulatory targets of worm miRNAs. | ||
PmiREN | Comprehensive plant repository of plant miRNAs. | ||
ncPlantDB | Database specialized in ncRNAs in plants. | ||
ExoCarta | Database containing information on exosomal proteins and RNAs including miRNAs. | ||
miRTarBase | Comprehensive collection of validated miRNA-mRNA targets. | ||
miRecords | Resource for animal miRNA-target interactions including |
||
MirDeep2 | Most widely used tool for both known and novel miRNA prediction in animals and plants. | ||
miRanalyzer | Tool for the detection of known, and prediction of new miRNAs, in high-throughput sequencing experiments. | ||
miRPlant | miRNA predictor utilizing plant-specific parameters (e.g., handling of diverse hairpin lengths and sequences). | ||
sRNAbench | Part of the sRNAToolKit suite for miRNA discovery and quantification using sRNASeq data. | ||
ShortStack | Highly accurate, plant-optimized, and supports multi-mapping small RNAs. | ||
miRPara | Predicted miRNA precursors based on structural and sequence features. | ||
RNAFold | Comprehensive collection of tools for folding, design and analysis of RNA sequences. | ||
miRanda | An miRNA target scanner that aims to predict mRNA targets for miRNAs using dynamic-programming alignment and thermodynamics. | ||
RNAHybrid | Tool for finding the minimum free energy hybridization of a long and a short RNA. | ||
psRNATarget | Specifically developed to identify target transcripts of plant regulatory sRNAs. | ||
p-TarPMir | Deep learning model adapted for plant miRNA target prediction. | ||
miTAR | Animal trained hybrid deep learning approach to predict miRNA targets. |
Distinguishing characteristics inherent to miRNA and siRNA_
Origin | Endogenous | Endogenous and exogenous |
Structure | Hairpin precursor | Long dsRNA |
Processing enzymes | Dicer1 or DCL1 (in nucleus, mostly) | Dicer2 or DCL4 (also DCL2, DCL3 depending on siRNA class) |
Target complementarity | Partial (often with central mismatches) or near perfect | Usually perfect or near-perfect |
Function | Post-transcriptional gene regulation (mRNA degradation or translational inhibition) | Gene silencing, antiviral defense, transposon suppression, RdDM |
Target specificity | Often targets multiple genes in the same family | Highly specific to one or few targets |