Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides
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. toru...
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Published in | Frontiers in bioengineering and biotechnology Vol. 8; p. 612832 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
08.01.2021
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AC02-05CH11231 USDOE Office of Science (SC), Biological and Environmental Research (BER) Edited by: Dong-Yup Lee, Sungkyunkwan University, South Korea This article was submitted to Synthetic Biology, a section of the journal Frontiers in Bioengineering and Biotechnology Reviewed by: Christopher Rao, University of Illinois at Urbana–Champaign, United States; Julio Augusto Freyre-Gonzalez, National Autonomous University of Mexico, Mexico |
ISSN: | 2296-4185 2296-4185 |
DOI: | 10.3389/fbioe.2020.612832 |