Reframing gene essentiality in terms of adaptive flexibility.

ABSTRACT:

Background

Essentiality assays are important tools commonly utilized for the discovery of gene functions. Growth/no growth screens of single gene knockout strain collections are also often utilized to test the predictive power of genome-scale models. False positive predictions occur when computational analysis predicts a gene to be non-essential, however experimental screens deem the gene to be essential. One explanation for this inconsistency is that the model contains the wrong information, possibly an incorrectly annotated alternative pathway or isozyme reaction. Inconsistencies could also be attributed to experimental limitations, such as growth tests with arbitrary time cut-offs. The focus of this study was to resolve such inconsistencies to better understand isozyme activitie

SUBMITTER: Guzman GI 

PROVIDER: S-EPMC6296033 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature