Transcriptome Analysis to Identify Putative Floral-Specific Genes and Flowering Regulatory-Related Genes of Sweet Potato

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  • TAO Xiang
    College of Life Sciences, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, Sichuan University Chengdu Institute of Biology, Chinese Academy of Sciences
  • GU Ying-Hong
    College of Life Sciences, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, Sichuan University
  • JIANG Yu-Song
    College of Life Sciences, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, Sichuan University
  • ZHANG Yi-Zheng
    College of Life Sciences, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, Sichuan University
  • WANG Hai-Yan
    College of Life Sciences, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, Sichuan University

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Abstract

Sweet potato flowers were collected for a transcriptome analysis to identify the putative floral-specific and flowering regulatory-related genes by using the RNA-sequencing technique. Pair-end short reads were de novo assembled by an integrated strategy, and then the floral transcriptome was carefully compared with several published vegetative transcriptomes. A total of 2595 putative floral-specific and 2928 putative vegetative-specific transcripts were detected. We also identified a large number of transcripts similar to the key genes in the flowering regulation network of Arabidopsis thaliana.

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