title: Transcriptome analysis to identify putative floral-specific genes and flowering regulatory-related genes of sweet potato.
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.
authors.affiliation: 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.
authors.forename: Xiang
authors.initials: X
authors.lastname: Tao
authors.forename: Ying-Hong
authors.initials: YH
authors.lastname: Gu
authors.forename: Yu-Song
authors.initials: YS
authors.lastname: Jiang
authors.forename: Yi-Zheng
authors.initials: YZ
authors.lastname: Zhang
authors.forename: Hai-Yan
authors.initials: HY
authors.lastname: Wang
mesh_terms: D017360:Arabidopsis / Q000235:genetics / Q000378:metabolism; D035264:Flowers / Q000235:genetics* / Q000378:metabolism; D020869:Gene Expression Profiling; D018506:Gene Expression Regulation, Plant; D053263:Gene Regulatory Networks; D027723:Ipomoea batatas / Q000235:genetics* / Q000378:metabolism; D058977:Molecular Sequence Annotation; D017423:Sequence Analysis, RNA; D059467:Transcriptome