Unknown

Dataset Information

Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales.


ABSTRACT: Incomplete selection makes it challenging to infer selection on genes at short time scales, especially for microorganisms, due to stronger linkage between loci. However, in many cases, the selective force changes with environment, time, or other factors, and it is of great interest to understand selective forces at this level to answer relevant biological questions. We developed a new method that uses the change in dN /dS , instead of the absolute value of dN /dS , to infer the dominating selective force based on sequence data across geographical scales. If a gene was under positive selection, dN /dS was expected to increase through time, whereas if a gene was under negative selectio

SUBMITTER: Li NK 

PROVIDER: S-EPMC9789396 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature