RNA BiologyGenomicsPeer-reviewed journal article
Xrn1 influence on gene transcription results from the combination of general effects on elongating RNA pol II and gene-specific chromatin configuration
Victoria Begley, Antonio Jordán‐PlaiD, Xenia PeñateiD, Ana Isabel Garrido-GodinoiD, Drice ChallaliD, Abel Cuevas-Bermúdez, Adrià Mitjavila-VenturaiD, Mara BaruccoiD, Gabriel GutiérreziD, Abhyudai SinghiD, Paula M. AlepuziD, Francisco NavarroiD, Domenico LibriiD, José Enrique Pérez-OrtíniD, Sebastián CháveziD
Abstract
mRNA homeostasis is favored by crosstalk between transcription and degradation machineries. Both the Ccr4-Not and the Xrn1-decaysome complexes have been described to influence transcription. While Ccr4-Not has been shown to directly stimulate transcription elongation, the information available on how Xrn1 influences transcription is scarce and contradictory. In this study we have addressed this issue by mapping RNA polymerase II (RNA pol II) at high resolution, using CRAC and BioGRO-seq techniques in Saccharomyces cerevisiae. We found significant effects of Xrn1 perturbation on RNA pol II profiles across the genome. RNA pol II profiles at 5 exhibited significant alterations that were compatible with decreased elongation rates in the absence of Xrn1. Nucleosome mapping detected altered chromatin configuration in the gene bodies. We also detected accumulation of RNA pol II shortly upstream of polyadenylation sites by CRAC, although not by BioGRO-seq, suggesting higher frequency of backtracking before pre-mRNA cleavage. This phenomenon was particularly linked to genes with poorly positioned nucleosomes at this position. Accumulation of RNA pol II at 3 was also detected in other mRNA decay mutants. According to these and other pieces of evidence, Xrn1 seems to influence transcription elongation at least in two ways: by directly favoring elongation rates and by a more general mechanism that connects mRNA decay to late elongation.
- organism: yeast
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- Citations
- 26
- FWCI
- 1.13
- Field percentile
- top 24%
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