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Genetic compensation triggered by mutant mRNA degradation

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TLDR
Transcriptional adaptation, a genetic compensation process by which organisms respond to mutations by upregulating related genes, is triggered by mRNA decay and involves a sequence-dependent mechanism.
Abstract
Genetic robustness, or the ability of an organism to maintain fitness in the presence of harmful mutations, can be achieved via protein feedback loops. Previous work has suggested that organisms may also respond to mutations by transcriptional adaptation, a process by which related gene(s) are upregulated independently of protein feedback loops. However, the prevalence of transcriptional adaptation and its underlying molecular mechanisms are unknown. Here, by analysing several models of transcriptional adaptation in zebrafish and mouse, we uncover a requirement for mutant mRNA degradation. Alleles that fail to transcribe the mutated gene do not exhibit transcriptional adaptation, and these alleles give rise to more severe phenotypes than alleles displaying mutant mRNA decay. Transcriptome analysis in alleles displaying mutant mRNA decay reveals the upregulation of a substantial proportion of the genes that exhibit sequence similarity with the mutated gene's mRNA, suggesting a sequence-dependent mechanism. These findings have implications for our understanding of disease-causing mutations, and will help in the design of mutant alleles with minimal transcriptional adaptation-derived compensation.

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Journal ArticleDOI

The mutational constraint spectrum quantified from variation in 141,456 humans

TL;DR: A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.

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Posted ContentDOI

Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes

Konrad J. Karczewski, +95 more
- 30 Jan 2019 - 
TL;DR: Using an improved human mutation rate model, human protein-coding genes are classified along a spectrum representing tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve gene discovery power for both common and rare diseases.
Journal ArticleDOI

CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing

TL;DR: This major update of CHOPCHOP introduces functionality for targeting RNA with Cas13, which includes support for alternative transcript isoforms and RNA accessibility predictions, and incorporates new DNA targeting modes, including CRISPR activation/repression, targeted enrichment of loci for long-read sequencing, and prediction of Cas9 repair outcomes.
Journal Article

Genetic compensation induced by deleterious mutations but not gene knockdowns

TL;DR: In this article, the authors show that egfl7 mutants do not show any obvious phenotypes while animals injected with egfl 7 morpholino (morphants) exhibit severe vascular defects, indicating that the activation of a compensatory network to buffer against deleterious mutations was not observed after translational or transcriptional knockdown.
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