Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 664.9 Meats and allied foods
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2021
• Mô tả vật lý: Size: Article No. 612832 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 262561
• Chủ đề: 1. 09 biomass fuels; 2. Genome-scale models; 3. Metabolic networks; 4. Multi-omics; 5. Rhodosporidium toruloides

Tóm tắt

 An oleaginous yeast <
 em>
 Rhodosporidium toruloides<
 /em>
  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 <
 em>
 R. toruloides<
 /em>
  and reconstructed the genome-scale metabolic network of <
 em>
 R. toruloides<
 /em>
 . 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 <
 em>
 R. toruloides<
 /em>
  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 <
 em>
 R. toruloides<
 /em>
  to date.