Genome-wide identification of MITE-derived microRNAs and their targets in bread wheat

Background: Plant miRNAs are a class of small non-coding RNAs that can repress gene expression at the post-transcriptional level by targeting RNA degradation or promoting translational repression. There is increasing evidence that some miRNAs can derive from a group of non-autonomous class II transp...

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Detalles Bibliográficos
Autores principales: Crescente, Juan Manuel, Zavallo, Diego, Del Vas, Mariana, Asurmendi, Sebastian, Helguera, Marcelo, Fernandez, Elmer, Vanzetti, Leonardo Sebastian
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: BioMed Central 2022
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/11871
https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08364-4
https://doi.org/10.1186/s12864-022-08364-4
Descripción
Sumario:Background: Plant miRNAs are a class of small non-coding RNAs that can repress gene expression at the post-transcriptional level by targeting RNA degradation or promoting translational repression. There is increasing evidence that some miRNAs can derive from a group of non-autonomous class II transposable elements called Miniature Inverted-repeat Transposable Elements (MITEs). Results: We used public small RNA and degradome libraries from Triticum aestivum to screen for microRNAs production and predict their cleavage target sites. In parallel, we also created a comprehensive wheat MITE database by identifying novel elements and compiling known ones. When comparing both data sets, we found high homology between MITEs and 14% of all the miRNAs production sites detected. Furthermore, we show that MITE-derived miRNAs have preference for targeting degradation sites with MITE insertions in the 3’ UTR regions of the transcripts. Conclusions: Our results revealed that MITE-derived miRNAs can underlay the origin of some miRNAs and potentially shape a regulatory gene network. Since MITEs are found in millions of insertions in the wheat genome and are closely linked to genic regions, this kind of regulatory network could have a significant impact on the post-transcriptional control of gene expression.