Short reads from honey bee (Apis sp.) sequencing projects reflect microbial associate diversity.

ABSTRACT: High throughput (or 'next generation') sequencing has transformed most areas of biological research and is now a standard method that underpins empirical study of organismal biology, and (through comparison of genomes), reveals patterns of evolution. For projects focused on animals, these sequencing methods do not discriminate between the primary target of sequencing (the animal genome) and 'contaminating' material, such as associated microbes. A common first step is to filter out these contaminants to allow better assembly of the animal genome or transcriptome. Here, we aimed to assess if these 'contaminations' provide information with regard to biologically important microorganisms associated with the individual. To achieve this, we examined whether the short read data from Apis r

SUBMITTER: Gerth M 

PROVIDER: S-EPMC5510586 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature