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The first transcriptome sequencing and analysis of the endangered plant species Picea neoveitchii Mast. and potential EST-SSR markers development

机译:濒危植物物种Picea neoveitchii桅杆的第一次转录组测序和分析。和潜在的EST-SSR标记开发

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Picea neoveitchii Mast. is a rare and endangered evergreen coniferous tree species in China. P. neoveitchii grows within a specific ecological and geographical range. Here, we performed transcriptome sequencing of P. neoveitchii using the Illumina high-throughput deep sequencing technology with the following aims: (i) to perform de novo transcriptome assembly, (ii) to perform transcriptome assembly with functional annotation, (iii) to study the candidate genes involved in the biosynthesis of cellulose and lignin, (iv) to identify and analyse the transcription factors, and (v) to develop potential expressed sequence tag–simple sequence repeat (EST-SSR) markers for future population genomic and genome-wide association studies in P. neoveitchii . This is, to the best of our knowledge, the first study to provide a comprehensive transcriptome of P. neoveitchii . The transcriptome data contained 12.97 gigabase pairs (Gbp) for a total of 120,951 different transcripts belonging to 66,022 unigenes. In addition, we classified enzymes involved in the biosynthesis of cellulose and lignin and identified and analysed the transcription factors involved in stress responses, growth and development. Based on the larger than 1?kb unigenes, 1,814 EST-SSR markers were shown. Our results demonstrated that the transcriptome analysis is a valuable technology for non-model species with large genomes and this dataset will be an essential resource for future genetic and genomic research in P. neoveitchii .
机译:Picea neoveitchii桅杆。是一种珍稀濒危常绿的针叶树种类在中国。 P. neoveitchii在特定的生态和地理范围内增长。在此,使用Illumina高通量的深序技术对P. neoveitchII的转录组测序进行了以下目的:(i)进行De Novo转录组组件,(ii)以进行功能性注释,(iii)进行转录组件,(iii)进行研究参与纤维素和木质素的生物合成的候选基因,(iv)以鉴定和分析转录因子,(v)为未来群体基因组和基因组产生潜在表达序列标签的简单序列重复(EST-SSR)标记 - P. neoveitchii的广泛协会研究。这是我们所知,第一项研究提供了P. neoveitchii的综合转录组。转录组数据含有12.97千兆酶对(GBP),总共120,951种不同的转录物属于66,022个unigenes。此外,我们还分类参与纤维素和木质素的生物合成的酶,并确定并分析了参与应激反应,生长和发育的转录因子。基于大于1?KB unigenes,显示了1,814个EST-SSR标记。我们的研究结果表明,转录组分析是具有大型基因组的非模型物种的有价值技术,而该数据集将成为未来遗传和基因组研究的基本资源。

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