PLoS Genetics · 2017 · 118 citations · 39 references
Life SciencesGeneticsMolecular GeneticsGene ExpressionGenome EditingGenomicsGene Knockout StrategiesMutagenesis StrategiesNonsense-mediated DecayClustered Regularly Interspaced Short Palindromic Repeats (Crispr) MutagenesisClustered Regularly Interspaced Short Palindromic Repeats (Crispr)-based MutagenesisDeleterious Mutation EffectsKnockout Zebrafish ModelsMrna Processing GenesMutant PhenotypingNonsense Mutation EffectsNonsense-mediated Decay Coupled Splicing
As model organism-based research shifts from forward to reverse genetics approaches, largely due to the ease of genome editing technology, a low frequency of abnormal phenotypes is being observed in lines with mutations predicted to lead to deleterious effects on the encoded protein. In zebrafish, this low frequency is in part explained by compensation by genes of redundant or similar function, often resulting from the additional round of teleost-specific whole genome duplication within vertebrates. Here we offer additional explanations for the low frequency of mutant phenotypes. We analyzed mRNA processing in seven zebrafish lines with mutations expected to disrupt gene function, generated by CRISPR/Cas9 or ENU mutagenesis methods. Five of the seven lines showed evidence of altered mRNA processing: one through a skipped exon that did not lead to a frame shift, one through nonsense-associated splicing that did not lead to a frame shift, and three through the use of cryptic splice sites. These results highlight the need for a methodical analysis of the mRNA produced in mutant lines before making conclusions or embarking on studies that assume loss of function as a result of a given genomic change. Furthermore, recognition of the types of adaptations that can occur may inform the strategies of mutant generation.
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Differential expression analysis for sequence count data
Simon Anders, Wolfgang Huber · Genome biology · 2010 · 16.4K citations · Full text
Identification of Mammalian microRNA Host Genes and Transcription Units
Antony Rodríguez, Sam Griffiths‐Jones, Jennifer Ashurst et al. · Genome Research · 2004 · 2K citations · Full text