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De Novo Characterization of Flower Bud Transcriptomes and the Development of EST-SSR Markers for the Endangered Tree Tapiscia sinensis

Tapiscia sinensis Oliv (Tapisciaceae) is an endangered species native to China famous for its androdioecious breeding system. However, there is a lack of genomic and transcriptome data on this species. In this study, the Tapiscia sinensis transcriptomes from two types of sex flower buds were sequenc...

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Detalles Bibliográficos
Autores principales: Zhou, Xiao-Jun, Wang, Yue-Yue, Xu, Ya-Nan, Yan, Rong-Shan, Zhao, Peng, Liu, Wen-Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4490475/
https://www.ncbi.nlm.nih.gov/pubmed/26057749
http://dx.doi.org/10.3390/ijms160612855
Descripción
Sumario:Tapiscia sinensis Oliv (Tapisciaceae) is an endangered species native to China famous for its androdioecious breeding system. However, there is a lack of genomic and transcriptome data on this species. In this study, the Tapiscia sinensis transcriptomes from two types of sex flower buds were sequenced. A total of 97,431,176 clean reads were assembled into 52,169 unigenes with an average length of 1116 bp. Through similarity comparison with known protein databases, 36,662 unigenes (70.27%) were annotated. A total of 10,002 (19.17%) unigenes were assigned to 124 pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database. Additionally, 10,371 simple sequence repeats (SSRs) were identified in 8608 unigenes, with 16,317 pairs of primers designed for applications. 150 pairs of primers were chosen for further validation, and the 68 pairs (45.5%) were able to produce clear polymorphic bands. Six polymorphic SSR markers were used to Bayesian clustering analysis of 51 T. sinensis individuals. This is the first report to provide transcriptome information and to develop large-scale SSR molecular markers for T. sinensis. This study provides a valuable resource for conservation genetics and functional genomics research on T. sinensis for future work.