SEX-DETector: A Probabilistic Approach to Study Sex Chromosomes in Non-Model Organisms.

ABSTRACT: We propose a probabilistic framework to infer autosomal and sex-linked genes from RNA-seq data of a cross for any sex chromosome type (XY, ZW, and UV). Sex chromosomes (especially the non-recombining and repeat-dense Y, W, U, and V) are notoriously difficult to sequence. Strategies have been developed to obtain partially assembled sex chromosome sequences. Most of them remain difficult to apply to numerous non-model organisms, either because they require a reference genome, or because they are designed for evolutionarily old systems. Sequencing a cross (parents and progeny) by RNA-seq to study the segregation of alleles and infer sex-linked genes is a cost-efficient strategy, which also provides expression level estimates. However, the lack of a proper statistical framework has limited a b

SUBMITTER: Muyle A 

PROVIDER: S-EPMC5010906 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature