Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides
Abstract
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.
- Authors:
-
- USDOE Agile BioFoundry, Emeryville, CA (United States); USDOE Joint BioEnergy Institute, Emeryville, CA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- USDOE Agile BioFoundry, Emeryville, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- USDOE Agile BioFoundry, Emeryville, CA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- USDOE Joint BioEnergy Institute, Emeryville, CA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- USDOE Agile BioFoundry, Emeryville, CA (United States); USDOE Joint BioEnergy Institute, Emeryville, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of California, Berkeley, CA (United States)
- USDOE Agile BioFoundry, Emeryville, CA (United States); USDOE Joint BioEnergy Institute, Emeryville, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1798736
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Frontiers in Bioengineering and Biotechnology
- Additional Journal Information:
- Journal Volume: 8; Journal ID: ISSN 2296-4185
- Publisher:
- Frontiers Research Foundation
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; Rhodosporidium toruloides; multi-omics; metabolic networks; genome-scale models; lignocellulosic biomass
Citation Formats
Kim, Joonhoon, Coradetti, Samuel T., Kim, Young-Mo, Gao, Yuqian, Yaegashi, Junko, Zucker, Jeremy D., Munoz, Nathalie, Zink, Erika M., Burnum-Johnson, Kristin E., Baker, Scott E., Simmons, Blake A., Skerker, Jeffrey M., Gladden, John M., and Magnuson, Jon K. Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides. United States: N. p., 2021.
Web. doi:10.3389/fbioe.2020.612832.
Kim, Joonhoon, Coradetti, Samuel T., Kim, Young-Mo, Gao, Yuqian, Yaegashi, Junko, Zucker, Jeremy D., Munoz, Nathalie, Zink, Erika M., Burnum-Johnson, Kristin E., Baker, Scott E., Simmons, Blake A., Skerker, Jeffrey M., Gladden, John M., & Magnuson, Jon K. Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides. United States. https://doi.org/10.3389/fbioe.2020.612832
Kim, Joonhoon, Coradetti, Samuel T., Kim, Young-Mo, Gao, Yuqian, Yaegashi, Junko, Zucker, Jeremy D., Munoz, Nathalie, Zink, Erika M., Burnum-Johnson, Kristin E., Baker, Scott E., Simmons, Blake A., Skerker, Jeffrey M., Gladden, John M., and Magnuson, Jon K. Fri .
"Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides". United States. https://doi.org/10.3389/fbioe.2020.612832. https://www.osti.gov/servlets/purl/1798736.
@article{osti_1798736,
title = {Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides},
author = {Kim, Joonhoon and Coradetti, Samuel T. and Kim, Young-Mo and Gao, Yuqian and Yaegashi, Junko and Zucker, Jeremy D. and Munoz, Nathalie and Zink, Erika M. and Burnum-Johnson, Kristin E. and Baker, Scott E. and Simmons, Blake A. and Skerker, Jeffrey M. and Gladden, John M. and Magnuson, Jon K.},
abstractNote = {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.},
doi = {10.3389/fbioe.2020.612832},
journal = {Frontiers in Bioengineering and Biotechnology},
number = ,
volume = 8,
place = {United States},
year = {Fri Jan 08 00:00:00 EST 2021},
month = {Fri Jan 08 00:00:00 EST 2021}
}
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