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Fitness Landscape of the Fission Yeast Genome

Authors: Grech, Leanne; Jeffares, Daniel Charlton; Sadée, Christoph Yves; Rodríguez-López, María; Bitton, Danny Asher; Hoti, Mimoza; Biagosch, Carolina; +10 Authors
APC: 1,870.04 EUR

Fitness Landscape of the Fission Yeast Genome

Abstract

Abstract Background Non-protein-coding regions of eukaryotic genomes remain poorly understood. Diversity studies, comparative genomics and biochemical outputs of genomic sites can be indicators of functional elements, but none produce fine-scale genome-wide descriptions of all functional elements. Results Towards the generation of a comprehensive description of functional elements in the haploid Schizosaccharomyces pombe genome, we generated transposon mutagenesis libraries to a density of one insertion per 13 nucleotides of the genome. We applied a five-state hidden Markov model (HMM) to characterise insertion-depleted regions at nucleotide-level resolution. HMM-defined functional constraint was consistent with genetic diversity, comparative genomics, gene-expression data and genome annotation. Conclusions We infer that transposon insertions lead to fitness consequences in 90% of the genome, including 80% of the non-protein-coding regions, reflecting the presence of numerous non-coding elements in this compact genome that have functional roles. Display of this data in genome browsers provides fine-scale views of structure-function relationships within specific genes.

Countries
United Kingdom, Spain, United Kingdom, United Kingdom
Keywords

transposon mutagenesis, non-coding genome, noncoding genome, Models, Genetic, Tn-Seq, Mutagenesis, Insertional, Cellular fitness, gene function, Schizosaccharomyces pombe, Schizosaccharomyces, Transposon mutagenesis, Fast Track, Genetic Fitness, Genome, Fungal, Gene function, cellular fitness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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16
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