English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background  Synthetic genetic interactions have recently been mapped on a genome scale in the budding yeast  Saccharomyces cerevisiae , providing a functional view of the central processes of eukaryotic life. Currently, comprehensive genetic interaction networks have not been determined for other species, and we therefore sought to model conserved aspects of genetic interaction networks in order to enable the transfer of knowledge between species.    Results  Using a combination of physiological and evolutionary properties of genes, we built models that successfully predicted the genetic interaction degree of  S. cerevisiae  genes. Importantly, a model trained on  S. cerevisiae  gene features and degree also accurately predicted interaction degree in the fission yeast  Schizosaccharomyces pombe , suggesting that many of the predictive relationships discovered in  S. cerevisiae  also hold in this evolutionarily distant yeast. In both species, high single mutant fitness defect, protein disorder, pleiotropy, protein-protein interaction network degree, and low expression variation were significantly predictive of genetic interaction degree. A comparison of the predicted genetic interaction degrees of  S. pombe  genes to the degrees of  S. cerevisiae  orthologs revealed functional rewiring of specific biological processes that distinguish these two species. Finally, predicted differences in genetic interaction degree were independently supported by differences in co-expression relationships of the two species.    Conclusions  Our findings show that there are common relationships between gene properties and genetic interaction network topology in two evolutionarily distant species. This conservation allows use of the extensively mapped  S. cerevisiae  genetic interaction network as an orthology-independent reference to guide the study of more complex species.

Conserved rules govern genetic interaction degree across species