Genomics

Dataset Information

0

Secondary siRNAs from Medicago NB-LRRs modulated via miRNA-target interactions and their abundances


ABSTRACT: Small RNAs are a class of noncoding RNAs which are of great importance in gene expression regulatory networks. Different families of small RNAs are generated via distinct biogenesis pathways. One such family specific to plants is that of phased, secondary siRNAs (phasiRNAs); these require RDR6, DCL4, and microRNA (miRNA) trigger for their biogenesis. Protein-encoding genes are an important source of phasiRNAs. The model legume Medicago truncatula generates phasiRNAs from many PHAS loci, and we aimed to investigate their biogenesis and mechanism by which miRNAs trigger these molecules. We modulated miRNA abundances in transgenic tissues showing that the abundance of phasiRNAs correlates with the levels of both miRNA triggers and the target, precursor transcripts. We identified sets of phasiRNAs or PHAS loci that predominantly and substantially increase in response to miRNA overexpression. In the process of validating targets from miRNA overexpression tissues, we found that in the miRNA-mRNA target pairing, the 3’ terminal nucleotide (the 22nd position), but not the 10th position, is important for phasiRNA production. Mutating the single 3’ terminal nucleotide dramatically diminishes phasiRNA production. Ectopic expression of Medicago NB-LRR-targeting miRNAs in Arabidopsis showed that only a few NB-LRRs are capable of phasiRNA production; our data indicate that this is due to target inaccessibility determined by sequences flanking target sites. We propose that target accessibility is an important component of miRNA-target interactions that could be utilized in target prediction, and the evolution of mRNA sequences flanking miRNA target sites may be impacted.

OTHER RELATED OMICS DATASETS IN: PRJNA280472

ORGANISM(S): Arabidopsis thaliana Medicago truncatula

PROVIDER: GSE67613 | GEO | 2015/06/20

SECONDARY ACCESSION(S): PRJNA280472

REPOSITORIES: GEO

Similar Datasets

2015-04-15 | E-GEOD-56859 | biostudies-arrayexpress
2011-10-24 | E-GEOD-31061 | biostudies-arrayexpress
2011-10-24 | GSE31061 | GEO
2015-04-15 | GSE56859 | GEO
2018-02-14 | GSE98118 | GEO
2022-03-23 | GSE182476 | GEO
2016-12-27 | GSE92922 | GEO
2018-10-09 | GSE111239 | GEO
2018-10-09 | GSE111238 | GEO
2022-03-23 | GSE182588 | GEO