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Data from: Gene prediction and annotation in Penstemon (Plantaginaceae): a workflow for marker development from extremely low-coverage genome sequencing

Cite this dataset

Blischak, Paul D.; Wenzel, Aaron J.; Wolfe, Andrea D. (2015). Data from: Gene prediction and annotation in Penstemon (Plantaginaceae): a workflow for marker development from extremely low-coverage genome sequencing [Dataset]. Dryad. https://doi.org/10.5061/dryad.f6s22

Abstract

Premise of the study: Penstemon (Plantaginaceae) is a large and diverse genus endemic to North America. However, determining the phylogenetic relationships among its 280 species has been difficult due to its recent evolutionary radiation. The development of a large, multilocus data set can help to resolve this challenge. Methods: Using both previously sequenced genomic libraries and our own low-coverage whole-genome shotgun sequencing libraries, we used the MAKER2 Annotation Pipeline to identify gene regions for the development of sequencing loci from six extremely low-coverage Penstemon genomes (∼0.005×−0.007×). We also compared this approach to BLAST searches, and conducted analyses to characterize sequence divergence across the species sequenced. Results: Annotations and gene predictions were successfully added to more than 10,000 contigs for potential use in downstream primer design. Primers were then designed for chloroplast, mitochondrial, and nuclear loci from these annotated sequences. MAKER2 identified longer gene regions in all six Penstemon genomes when compared with BLASTN and BLASTX searches. The average level of sequence divergence among the six species was 7.14%. Discussion: Combining bioinformatics tools into a workflow that produces annotations can be useful for creating potential phylogenetic markers from thousands of sequences even when genome coverage is extremely low and reference data are only available from distant relatives. Furthermore, the output from MAKER2 contains information about important gene features, such as exon boundaries, and can be easily integrated with visualization tools to facilitate the process of marker development.

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