基于RNA-Seq技术的葡萄不同花型新转录本预测和基因结构优化

Identification of novel transcripts and optimization of annotated genes in grape by RNA-Seq

由于葡萄(Vitis spp.)基因组注释的不完善,本文以3个生长时期3种性状葡萄花器官(雌能花、雄花和两性花)为材料提取总RNA进行高通量测序,开展了葡萄新转录本发掘和已注释基因结构优化工作。获得173.41Gb高质量的过滤后的数据(clean data),发掘出839个新转录本,其中697个新转录本得到了注释信息,同时对10 163个已注释基因的结构进行了优化。本研究旨在为后续葡萄基因组学、表型研究和其他生物基因组注释信息的完善提供参考。

Because of the imperfect explanation of grapes’genome annotation.In this paper,the grape transcript excavation and annotated gene structure optimization were discussed depends on the RNA high-throughput sequencing technology.All the RNA are extracted from three traits of grape floral organs which are female flower,male flower and bisexual flower in three growing periods.After that,173.41 Gb high accuracy clean data were collected.Depending on those data,839 new transcripts were excavated.In addition,697 of the 839 new transcripts got the annotated information,and 10 163 annotated gene structures were optimized.The result of this research could provide useful references for the future genomics and phenotypic studies in grape and the improvement of other biological genome annotation.