Reduced representation sequencing of plant stress transcriptomes
Reduced representation sequencing of plant stress transcriptomes
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DOI：
10.1007/s13562-012-0129-y
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发表时间：
2012-10-01
影响因子：
1.9
通讯作者：
Winter, Peter
中科院分区：
文献类型：
--
作者：
Kahl, Guenter;Molina, Carlos;Winter, Peter
植物和任何其他生物一样，拥有进化的古老机制来科普它们每天面临的各种压力。管理压力及其后果需要大量的能源，而这些能源往往从生物量（作物：产量）中扣除。因此，更深入地了解胁迫生物学对植物育种一直是，现在是，将来也是至关重要的。植物胁迫研究的一个目标是围绕转录组，即来自表达基因的全部转录物，并旨在鉴定受胁迫植物的胁迫管理中的主要基因。适当的技术的发展，以定量研究转录组（实际上是各种亚转录组）在强调植物，并从大量的数据中提取生物学意义将在这里展示。特别是，降低复杂性的测序技术，如deepSuperSAGE和MACE（大规模分析cDNA末端）及其在压力生物学的潜力描绘。
Plants, as any other organisms, possess evolutionary old mechanisms to cope with the various stresses they are exposed to day by day. The management of stresses and their consequences requires substantial energy, which is frequently subtracted from biomass (in crops: yield). Therefore, a deeper understanding of stress biology has been, is, and will be of paramount importance for plant breeding. One goal of plant stress research centers around the transcriptome, the entirety of transcripts from expressed genes, and aims at identifying major genes in the stress management of the inflicted plant. The development of appropriate technologies to quantitatively study the transcriptomes (indeed the various sub-transcriptomes) in stressed plants and to extract biological meaning from the massive data will be demonstrated here. In particular, reduced complexity sequencing techniques such as deepSuperSAGE and MACE (massive analysis of cDNA ends) and their potential in stress biology are portrayed.