A Multi-Tissue Genome-Scale Model of Populus trichocarpa Elucidates Overexpression Targets for Improving Drought Tolerance

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2024-06-03 DOI:10.1093/insilicoplants/diae007
Juliana Simas Coutinho Barbosa, Wheaton L. Schroeder, P. Suthers, Sara S. Jawdy, Jin-Gui Chen, W. Muchero, C. Maranas
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Abstract

Populus trichocarpa (poplar) is a fast-growing model tree whose lignocellulosic biomass is a promising biofuel feedstock. Enhancing its viability and yield in non-arable drought-prone lands can reduce biomass cost and accelerate adoption as a biofuel crop. Data from extensive -omics and phenotypic studies were leveraged herein to reconstruct a multi-tissue (root, stem, and leaf) genome-scale model (GSM) of poplar, iPotri3463, encompassing 14,360 reactions, 12,402 metabolites, and 3,463 genes. Two condition-specific GSMs were extracted from iPotri3463: iPotri3016C (control) and iPotri2999D (drought), supported by condition-specific transcript levels and reaction essentiality for growth. Physiological constraints consistent with experimental measurements of drought-stressed plants were imposed to growth, photorespiration, and carbon assimilation rates. Calculated increased flux capacity through the violaxanthin cycle and GABA biosynthetic pathways agree with established key strategies for improving drought tolerance. Differential gene expression analysis was performed on existing transcriptomes of poplar under different watering regimes. Computational flux knockdown was applied to reactions with increased flux capacity under drought which were associated with at least one downregulated gene. Several such reactions were essential for maintaining observed biomass yield and their associated genes are candidates for overexpression to improve drought tolerance. Glutamine synthetase is one whose overexpression in poplar confirms in silico predictions. However, the two most promising candidates are genes encoding ferulate-5-hydroxylase, Potri.007G016400 and Potri.005G117500, as their overexpression in other plant species led to demonstrably improved drought tolerance while previous overexpression in poplar reduced biomass recalcitrance. iPotri3463 is the first poplar-specific whole-plant GSM and the second one available for a woody plant.
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杨树多组织基因组尺度模型阐明了提高耐旱性的过表达目标
杨树是一种快速生长的示范树种,其木质纤维素生物质是一种前景广阔的生物燃料原料。提高其在非可耕地干旱地区的生存能力和产量,可以降低生物质成本,加快其作为生物燃料作物的应用。本文利用广泛的组学和表型研究数据,重建了一个多组织(根、茎和叶)杨树基因组尺度模型(GSM)iPotri3463,其中包括 14,360 个反应、12,402 个代谢物和 3,463 个基因。从 iPotri3463 中提取了两个条件特异性 GSM:iPotri3016C(对照)和 iPotri2999D(干旱),并以条件特异性转录物水平和反应对生长的重要性为支持。对干旱胁迫植物的生长、光呼吸和碳同化率施加了与实验测量结果一致的生理限制。经计算,通过小黄素循环和 GABA 生物合成途径增加的通量能力与已确立的提高耐旱性的关键策略一致。对不同浇水制度下现有的杨树转录组进行了差异基因表达分析。对在干旱条件下通量增加的反应进行了计算通量敲除,这些反应至少与一个基因下调有关。其中有几个反应对维持观察到的生物量产量至关重要,与之相关的基因是提高耐旱性的过表达候选基因。谷氨酰胺合成酶是其中之一,它在杨树中的过度表达证实了在硅学中的预测。不过,两个最有希望的候选基因是编码阿魏酸-5-羟化酶的基因 Potri.007G016400 和 Potri.005G117500,因为它们在其他植物物种中的过表达明显提高了耐旱性,而之前在杨树中的过表达则降低了生物量的再适应性。
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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