Góngora-Castillo Elsa, Fedewa Greg, Yeo Yunsoo, Chappell Joe, DellaPenna Dean, Buell C Robin
Department of Plant Biology, Michigan State University, East Lansing, Michigan, USA.
Methods Enzymol. 2012;517:139-59. doi: 10.1016/B978-0-12-404634-4.00007-3.
Development of next-generation sequencing, coupled with the advancement of computational methods, has allowed researchers to access the transcriptomes of recalcitrant genomes such as those of medicinal plant species. Through the sequencing of even a few cDNA libraries, a broad representation of the transcriptome of any medicinal plant species can be obtained, providing a robust resource for gene discovery and downstream biochemical pathway discovery. When coupled to estimation of expression abundances in specific tissues from a developmental series, biotic stress, abiotic stress, or elicitor challenge, informative coexpression and differential expression estimates on a whole transcriptome level can be obtained to identify candidates for function discovery.
下一代测序技术的发展,再加上计算方法的进步,使得研究人员能够获取难以处理的基因组的转录组,比如药用植物物种的基因组。通过对哪怕几个cDNA文库进行测序,就能获得任何药用植物物种转录组的广泛表征,为基因发现和下游生化途径发现提供强大的资源。当与来自发育系列、生物胁迫、非生物胁迫或诱导子挑战的特定组织中的表达丰度估计相结合时,就可以在全转录组水平上获得信息丰富的共表达和差异表达估计,以识别功能发现的候选基因。