Predictive Models of Genetic Redundancy in Arabidopsis thaliana.

ABSTRACT: Genetic redundancy refers to a situation where an individual with a loss-of-function mutation in one gene (single mutant) does not show an apparent phenotype until one or more paralogs are also knocked out (double/higher-order mutant). Previous studies have identified some characteristics common among redundant gene pairs, but a predictive model of genetic redundancy incorporating a wide variety of features derived from accumulating omics and mutant phenotype data is yet to be established. In addition, the relative importance of these features for genetic redundancy remains largely unclear. Here, we establish machine learning models for predicting whether a gene pair is likely redundant or not in the model plant Arabidopsis thaliana based on six feature categories: functional annotations,

SUBMITTER: Cusack SA 

PROVIDER: S-EPMC8321531 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature