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Tate, A. J.

Publications and source records attributed to Tate, A. J..

3 recordsLinked to original sources

Caenorhabditis elegans SynMuv B gene activity is down-regulated during a viral infection to enhance RNA interference

Small RNA pathways regulate eukaryotic antiviral defense. Many of the Caenorhabditis elegans mutations that were identified based on their enhanced RNAi, the synMuv B genes, also emerged from unrelated genetic screens for increased growth factor signaling. The dozen synMuv B genes encode homologues of the mammalian dREAM complex found in nearly all animals and plants, which includes the lin-35/retinoblastoma oncogene. We show that a set of highly induced mRNAs in synMuv B mutants is congruent with mRNAs induced by Orsay RNA virus infection of C. elegans. In wild type animals, a combination of a synMuv A mutation and a synMuv B mutation are required for the Muv phenotype of increased growth factor signaling. But we show that Orsay virus infection of a single synMuv A mutant can induce a Muv phenotype, unlike the uninfected single synMuv A mutant. This suggests that decreased synMuv B activity, which activates the antiviral RNAi pathway, is a defense response to viral infection. Small RNA deep sequencing analysis of various dREAM complex mutants uncovers distinct siRNA profiles indicative of such an siRNA response. We conclude that the synMuv B mutants maintain an antiviral readiness state even in the absence of actual infection. The enhanced RNAi and conservation of the dREAM complex mutants suggests new therapeutic avenues to boost antiviral defenses.

genetics↗

A low-abundance class of Dicer-dependent siRNAs produced from a variety of features in C. elegans

Canonical small interfering RNAs (siRNAs) are processed from double-stranded RNA (dsRNA) by the endoribonuclease Dicer. siRNAs are found in plants, animals, and some fungi where they associate with Argonautes to direct RNA silencing. In Caenorhabditis elegans, some endogenous small RNAs, such as 22G-RNAs and 26G-RNAs, share certain attributes with canonical siRNAs but exhibit unique characteristics known only to occur in nematodes. For instance, 22G-RNAs do not originate from dsRNA and are not processed by Dicer, whereas 26G-RNAs require Dicer but lack the typical duplex intermediate with symmetrical 3-overhangs and are produced only antisense to their mRNA templates. To identify canonical siRNAs in C. elegans, we first characterized the siRNAs produced from exogenous dsRNA. As predicted based on earlier studies, exogenous dsRNA is processed into [~]23-nt duplexes with 2-4-nt 3-overhangs, ultimately yielding siRNAs devoid of 5 G-containing sequences that bind with high affinity to the Argonaute RDE-1. Leveraging these characteristics, we searched for their endogenous counterparts and identified thousands of endogenous loci representing dozens of unique elements that give rise to mostly low to moderate levels of siRNAs, called 23H-RNAs. These loci include repetitive elements, alleged coding genes, pseudogenes, non-coding RNAs, and unannotated features, many of which adopt hairpin structures reminiscent of the hpRNA/RNA interference (RNAi) pathway in flies and mice. Our results expand the known repertoire of C. elegans small RNAs and demonstrate that key features of the endogenous siRNA pathway are relatively unchanged in animals.

genomics↗

tinyRNA: precision analysis of small RNA-seq data with user-defined hierarchical selection rules

SummarytinyRNA performs precision analysis of small RNAs, including miRNAs, piRNAs, and siRNAs, from high-throughput sequencing experiments. At the core of tinyRNA is a highly flexible counting utility, tiny-count, that allows for hierarchical assignment of small RNA reads to features based on positional information, extent of feature overlap, 5 nucleotide, length, and strandedness. tinyRNA provides an all-in-one solution for small RNA-seq data analysis, with documentation and statistics generated at each step for accurate, reproducible results. Availability and ImplementationtinyRNA tools are implemented in Python and R, and the pipeline workflow is coordinated with CWL. tinyRNA is free and open-source software distributed under the GPLv3 license. tinyRNA is available at https://github.com/MontgomeryLab/tinyRNA. Contacttai.montgomery@colostate.edu Supplementary informationReference data, including genome sequences and features tables, for certain species can be found at https://www.MontgomeryLab.org.

bioinformatics↗