The unexpected depths of genome-skimming data: A case study examining Goodeniaceae floral symmetry genes

基因组数据的意外深度:以 Goodeniaceae 花对称基因为例

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作者:Brent A Berger, Jiahong Han, Emily B Sessa, Andrew G Gardner, Kelly A Shepherd, Vincent A Ricigliano, Rachel S Jabaily, Dianella G Howarth

Discussion

Genome-skimming data sets can provide a significant source of low-copy nuclear gene sequence data that may be used for multiple downstream applications.

Methods

Twenty-four previously constructed Goodeniaceae genome-skimming Illumina libraries were examined for their utility in mining low-copy nuclear genes involved in floral symmetry, specifically the CYCLOIDEA (CYC)-like genes. De novo assemblies were generated using multiple assemblers, and BLAST searches were performed for CYC1, CYC2, and CYC3 genes.

Results

Overall Trinity, SOAPdenovo-Trans, and SOAPdenovo implementing lower k-mer values uncovered the most data, although no assembler consistently outperformed the others. Using SOAPdenovo-Trans across all 24 data sets, we recovered four CYC-like gene groups (CYC1, CYC2, CYC3A, and CYC3B) from a majority of the species. Alignments of the fragments included the entire coding sequence as well as upstream and downstream regions.

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