Genome-scale model development and genomic sequencing of the oleaginous clade Lipomyces
The clade contains oleaginous yeast species with advantageous metabolic features for biochemical and biofuel production. Limited knowledge about the metabolic networks of the species and limited tools for genetic engineering have led to a relatively small amount of research on the microbes. Here, a...
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Published in | Frontiers in bioengineering and biotechnology Vol. 12; p. 1356551 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
04.04.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The
clade contains oleaginous yeast species with advantageous metabolic features for biochemical and biofuel production. Limited knowledge about the metabolic networks of the species and limited tools for genetic engineering have led to a relatively small amount of research on the microbes. Here, a genome-scale metabolic model (GSM) of
NRRL Y-11557 was built using orthologous protein mappings to model yeast species. Phenotypic growth assays were used to validate the GSM (66% accuracy) and indicated that NRRL Y-11557 utilized diverse carbohydrates but had more limited catabolism of organic acids. The final GSM contained 2,193 reactions, 1,909 metabolites, and 996 genes and was thus named iLst996. The model contained 96 of the annotated carbohydrate-active enzymes. iLst996 predicted a flux distribution in line with oleaginous yeast measurements and was utilized to predict theoretical lipid yields. Twenty-five other yeasts in the
clade were then genome sequenced and annotated. Sixteen of the
species had orthologs for more than 97% of the iLst996 genes, demonstrating the usefulness of iLst996 as a broad GSM for
metabolism. Pathways that diverged from iLst996 mainly revolved around alternate carbon metabolism, with ortholog groups excluding NRRL Y-11557 annotated to be involved in transport, glycerolipid, and starch metabolism, among others. Overall, this study provides a useful modeling tool and data for analyzing and understanding
species metabolism and will assist further engineering efforts in
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 PNNL-SA-193362 USDOE Laboratory Directed Research and Development (LDRD) Program USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Bioenergy Technologies Office (BETO) AC05-76RL01830; AC02-05CH11231; NL0030038 USDOE Office of Science (SC), Biological and Environmental Research (BER) Reviewed by: Marco Mangiagalli, University of Milano-Bicocca, Italy Garrett Roell, University of Hawaii at Manoa, United States Edited by: Jung Rae Kim, Pusan National University, Republic of Korea |
ISSN: | 2296-4185 2296-4185 |
DOI: | 10.3389/fbioe.2024.1356551 |