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AspWood: High-Spatial-Resolution Transcriptome Profiles Reveal Uncharacterized Modularity of Wood Formation in Populus tremula

机译:AspWood:高空间分辨率转录组配置文件揭示了杨杨木结构的非特征性模块化。

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摘要

Trees represent the largest terrestrial carbon sink and a renewable source of ligno-cellulose. There is significant scope for yield and quality improvement in these largely undomesticated species, and efforts to engineer elite varieties will benefit from improved understanding of the transcriptional network underlying cambial growth and wood formation. We generated high-spatial-resolution RNA sequencing data spanning the secondary phloem, vascular cambium, and wood-forming tissues of Populus tremula. The transcriptome comprised 28,294 expressed, annotated genes, 78 novel protein-coding genes, and 567 putative long intergenic noncoding RNAs. Most paralogs originating from the Salicaceae whole-genome duplication had diverged expression, with the exception of those highly expressed during secondary cell wall deposition. Coexpression network analyses revealed that regulation of the transcriptome underlying cambial growth and wood formation comprises numerous modules forming a continuum of active processes across the tissues. A comparative analysis revealed that a majority of these modules are conserved in Picea abies. The high spatial resolution of our data enabled identification of novel roles for characterized genes involved in xylan and cellulose biosynthesis, regulators of xylem vessel and fiber differentiation and lignification. An associated web resource (AspWood, ) provides interactive tools for exploring the expression profiles and coexpression network.
机译:树木代表着最大的陆地碳汇和木质纤维素的可再生来源。在这些高度未驯化的物种中,有很大的提高产量和质量的空间,而工程化精英品种的努力将受益于对冈比亚生长和木材形成基础的转录网络的更好理解。我们生成了高空间分辨率的RNA测序数据,涵盖了次生韧皮部,维管形成层和白杨的木质组织。转录组包含28294个表达的带注释基因,78个新的蛋白质编码基因和567个推定的长基因间非编码RNA。源于杨柳全基因组重复的大多数旁系同源物表达不同,除了那些在次生细胞壁沉积过程中高度表达的旁系同源物。共表达网络分析显示,对冈比亚生长和木材形成的转录组的调控包括许多模块,这些模块在整个组织中形成连续的活性过程。一项比较分析显示,这些模块中的大多数在云杉云杉中均被保存。我们数据的高空间分辨率使得能够鉴定参与木聚糖和纤维素生物合成的特征基因,木质部血管的调节剂以及纤维分化和木质化的新作用。关联的网络资源(AspWood,)提供了用于探索表达谱和共表达网络的交互式工具。

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