Unknown

Dataset Information

Unravelling population structure heterogeneity within the genome of the malaria vector Anopheles gambiae.


ABSTRACT:

Background

Whole genome re-sequencing provides powerful data for population genomic studies, allowing robust inferences of population structure, gene flow and evolutionary history. For the major malaria vector in Africa, Anopheles gambiae, other genetic aspects such as selection and adaptation are also important. In the present study, we explore population genetic variation from genome-wide sequencing of 765 An. gambiae and An. coluzzii specimens collected from across Africa. We used t-SNE, a recently popularized dimensionality reduction method, to create a 2D-map of An. gambiae and An. coluzzii genes that reflect their population structure similarities.

Results

The map allows intuitive navigation among genes distributed throughout the so-called "mainland" and numerous surro

SUBMITTER: Campos M 

PROVIDER: S-EPMC8185951 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature