An oleaginous yeast Rhodosporidium toruloides is a promising host for converting lignocellulosic biomass to bioproducts and biofuels. In this work, we performed multi-omics analysis of lignocellulosic carbon utilization in R. toruloides and reconstructed the genome-scale metabolic network of R. toruloides. High-quality metabolic network models for model organisms and orthologous protein mapping were used to build a draft metabolic network reconstruction. The reconstruction was manually curated to build a metabolic model using functional annotation and multi-omics data including transcriptomics, proteomics, metabolomics, and RB-TDNA sequencing. The multi-omics data and metabolic model were used to investigate R. toruloides metabolism including lipid accumulation and lignocellulosic carbon utilization. The developed metabolic model was validated against high-throughput growth phenotyping and gene fitness data, and further refined to resolve the inconsistencies between prediction and data. We believe that this is the most complete and accurate metabolic network model available for R. toruloides to date.

中文翻译：

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多组学驱动的代谢网络重建及木素纤维素碳在圆红孢子菌中的利用分析

含油酵母红冬孢子菌是将木质纤维素生物质转化为生物产品和生物燃料的有前途的宿主。在这项工作中，我们对 R. toruloides 中木质纤维素碳的利用进行了多组学分析，并重建了 R. toruloides 的基因组规模代谢网络。模型生物的高质量代谢网络模型和直系同源蛋白质图被用于构建代谢网络重建草案。使用功能注释和多组学数据（包括转录组学、蛋白质组学、代谢组学和 RB-TDNA 测序）手动策划重建以构建代谢模型。多组学数据和代谢模型用于研究圆环藻的代谢，包括脂质积累和木质纤维素碳的利用。开发的代谢模型针对高通量生长表型和基因健康数据进行了验证，并进一步完善以解决预测和数据之间的不一致问题。我们相信这是迄今为止可用于 R. toruloides 的最完整、最准确的代谢网络模型。