Transcriptome Analysis of Colored Calla Lily (Zantedeschia Rehmannii Engl.) by Illumina Sequencing: De Novo Assembly, Annotation and EST-SSR Marker Development
Transcriptome analysis of colored calla lily (Zantedeschia rehmannii Engl.) by Illumina sequencing: de novo assembly, annotation and EST-SSR marker development Zunzheng Wei1,2,*, Zhenzhen Sun3,*, Binbin Cui4, Qixiang Zhang1, Min Xiong2, Xian Wang2 and Di Zhou2 1 Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture and College of Landscape Architecture, Beijing Forestry Univer- sity, Beijing, China 2 Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Key Laboratory of Urban Agriculture (North), Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China 3 Beijing Key Laboratory of Separation and Analysis in Biomedicine and Pharmaceuticals, Beijing Institute of Technology, Beijing, China 4 Department of Biology and Chemistry, Baoding University, Baoding, Hebei, China * These authors contributed equally to this work. ABSTRACT Colored calla lily is the short name for the species or hybrids in section Aestivae of genus Zantedeschia. It is currently one of the most popular flower plants in the world due to its beautiful flower spathe and long postharvest life. However, little genomic information and few molecular markers are available for its genetic improvement. Here, de novo transcriptome sequencing was performed to produce large transcript sequences for Z. rehmannii cv. `Rehmannii' using an Illumina HiSeq 2000 instrument. More than 59.9 million cDNA sequence reads were obtained and assembled into 39,298 unigenes with an average length of 1,038 bp. Among these, 21,077 unigenes showed significant similarity to protein sequences in the non-redundant protein Submitted 23 April 2016 Accepted 29 July 2016 database (Nr) and in the Swiss-Prot, Gene Ontology (GO), Cluster of Orthologous Published 1 September 2016 Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases.
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