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Journal of Plant Sciences
Year: 2015  |  Volume: 10  |  Issue: 1  |  Page No.: 1 - 14

Transcriptome of Teak (Tectona grandis, L.f) in Vegetative to Generative Stages Development

D.S. Diningrat, S.M. Widiyanto, A. Pancoro, Iriawati, D. Shim, B. Panchangam, N. Zembower and J.E. Carlson    

Abstract: Teak is one of the highly famous woody plant species for its premier quality of wood. Teak has problem on productivity because of long reproductive cycle. The problem is basically related to mechanism of flower development. The aim of this study was preliminary development of expressed gene database to characterize the floral transcriptome in teak. Two subtracted cDNA libraries were constructed from vegetative and generative bud tissues. Libraries were sequenced using Illumina MiSeq technology which generated paired-end read sequences 3,778,316 for vegetative and 3,701,878 for generative. The sequences assembled de novo into 87,365 transcript contigs consisting of 42,435,728 bases with N50 of 498 bp using CLC-Genomics Workbench. 76,169 (87.18%) of the 87,365 assembled contigs exhibited significant similarity BLASTN to Solanum lycopersicum database ( The assembled contigs were annotated through high stringency BLASTX analysis to proteome of S. lycopersicum. Distribution of contigs abundance between vegetative and generative stages analyzed using the DEGseq approach. The numbers of contigs distribution are 24,730 in vegetative, 28,912 in generative and 33,723 in both stages. The functionally protein datasets characterized by Gene Ontology (GO) annotation and KEGG metabolic pathways assignments for the result of DEG analysis. These contigs, 18,756 (75.84%) from vegetative, 22,089 (76.40%) from generative and 22,917 (67.96%) from both stages were assigned to GO classes. A total of 1455 (13.77%) were mapped to 30 pathways from vegetative, 1,638 (13.70%) were mapped to 27 pathways from generative and 1,652 (12.20%) were mapped to 30 pathways from both by BLAST comparison against the KEGG database. The biological processes of flowering developments were identified in the biological process dataset and the numbers of contigs were discovered different between stages. This transcriptome dataset information will act as a valuable resource for further molecular genetic studies teak, as well as for isolation and characterization of functional genes involved in flowering development pathways.

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