Transcriptome Analysis of Ludisia discolor with two Leaf Colors
[Objective]To enrich transcriptome data of Ludisia discolor in order to assist in its functional gene mining.[Method]Leaves of two kinds of L.discolor cultivars with different leaf colors were sequenced by Illumina Hiseq 2 000 and further analyzed by bioinformatics.[Result]37.23 Gb clean reads were generated from three replicates of L.discolor with two leaf colors,which was the de novo assembled into 97 089 unigenes with a mean length of 1 038.76bp,N50 of 1 892 bp.31 095 unigenes were annotated against 8 prominent bioinformatics databases.Within the NR database,a total of 29 730 unigenes were primarily annotated from L.discolor;with the most homologous sequences to Dendrobium officinale.23 871 unigenes were annotated in GO database and were divided into three categories:cellular component,biological process and molecular function.There were 14 791 unigenes annotated in KOG function categories,which mainly focused on general function prediction,posttranslational modification and signal transduction.A total of 5 791 DEGs were screened out from'XGH'vs'BX'.Compared with the dark-purple leaves,the expression of 3 120 genes increased while the expression of 2 671 genes decreased in green leaves.KEGG enrichment analysis showed that the differentially expressed genes were most significantly enriched in plant-pathogen interaction;the secondary enriched was MAPK signaling pathway and plant hormone signal transduction,photosynthesis-antenna protein,and the other pathway including phenylpropanoid biosynthesis,flavonoid biosynthesis,porphyrin and chlorophyll metabolism.[Conclusion]This investigation furnished scientific support for study of functional genes in L.discolor as medicinal plant.
Ludisia discolor L.TranscriptomeGene annotationLeaf color
国家科技期刊平台
NSTL
万方数据
