A Multi-Approach for In Silico Detection of Chromosome Inversions in Mosquito Vectors.

ABSTRACT: In Brazil, Nyssorhynchus darlingi stands out as the primary malaria vector. Chromosome inversions have long been recognized as critical evolutionary mechanisms in diverse organisms. In this study, we used biallelic SNPs to show that it is possible to detect chromosome inversions reliably with low coverage sequence data. We estimated chromosome inversions in an Amazon Basin sample of Ny. darlingi and compared them with Anopheles gambiae and Anopheles albimanus genomes in synteny analysis. The An. gambiae dataset benchmarked the inversion detection pipeline with known inversions. Genotyping by sequencing was performed using the LCSeqTools workflow for the lcWGS dataset with an average sequencing depth of 2x. A synteny analysis was performed for Ny. darli

SUBMITTER: Alvarez MVN 

PROVIDER: S-EPMC12565792 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature