Discovery of Ongoing Selective Sweeps within Anopheles Mosquito Populations Using Deep Learning.

ABSTRACT: Identification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS/HIC, a deep learning method to discover selective sweeps from population genomic data. partialS/HIC uses a convolutional neural network for image processing, which is trained with a large suite of summary statistics derived from coalescent simulations incorporating population-specific history, to distinguish between completed versus partial sweeps, hard versus soft sweeps, and regions directly affected by selection versus those merely linked to nearby selective sweeps. We perform several simulation experiments under various demographic scenarios to demonstrate partialS/HIC's

SUBMITTER: Xue AT 

PROVIDER: S-EPMC7947845 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature