Pancaldi Francesco, Vlegels Dennis, Rijken Hugo, van Loo Eibertus N, Trindade Luisa M
Plant Breeding, Wageningen University & Research, Wageningen, Netherlands.
Front Plant Sci. 2022 Mar 3;13:855093. doi: 10.3389/fpls.2022.855093. eCollection 2022.
Translational genomics can enable a quicker improvement of orphan crops toward novel agricultural applications, including the advancement of orphan biomass species for cultivation on marginal lands. In this sense, cell wall quality is a preeminent breeding target. However, tools to efficiently project genetic data on target traits across large sets of species are currently missing. This study aimed at closing this gap by developing a strategy to project a set of cell wall QTLs across a large group of plants by using genome synteny. This strategy is suited for large-scale analyses and detected 362 syntenic cell wall QTLs (SQTLs) across 74 angiosperms, including several (orphan) biomass species. SQTLs analyses revealed that they span large portions of the initial cell wall QTLs and are extensively conserved across diverse species. Moreover, numerous QTLs cell wall genes were conserved through SQTLs, including genes displaying allelic variation associated with cell wall composition. Functional analyses showed that highly conserved genes of SQTLs include important cell wall transcription factors and genes involved in the remodeling of cell wall polymers. For some of these gene families, SQTLs indicated the presence of differentially conserved genomic contexts for different gene members, highlighting their utility as a tool to pinpoint gene targets that maximize the likelihood of functional gene conservation. Overall, the results of this study can facilitate "universal" approaches for breeding (orphan) biomass crops, while the strategy for QTLs translation can be applied to other sets of traits and species, helping to unlock the potential of orphan species.
转化基因组学能够更快地改良小众作物,以实现新的农业应用,包括改良小众生物质物种,使其能够在边际土地上种植。从这个意义上说,细胞壁质量是一个重要的育种目标。然而,目前还缺乏能够在大量物种中有效预测目标性状遗传数据的工具。本研究旨在通过开发一种利用基因组共线性在一大组植物中预测一组细胞壁QTL的策略来填补这一空白。该策略适用于大规模分析,并在74种被子植物中检测到362个共线性细胞壁QTL(SQTL),包括几种(小众)生物质物种。SQTL分析表明,它们覆盖了最初细胞壁QTL的大部分区域,并且在不同物种中广泛保守。此外,许多细胞壁QTL基因通过SQTL得以保守,包括显示与细胞壁组成相关的等位基因变异的基因。功能分析表明,SQTL中高度保守的基因包括重要的细胞壁转录因子和参与细胞壁聚合物重塑的基因。对于其中一些基因家族,SQTL表明不同基因成员存在差异保守的基因组背景,突出了它们作为一种工具的实用性,可用于确定那些使功能基因保守可能性最大化的基因靶点。总体而言,本研究结果有助于推动(小众)生物质作物育种的“通用”方法,而QTL转化策略可应用于其他性状和物种,有助于挖掘小众物种的潜力。