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Reconstruction and analysis of genome-scale metabolic model for thermophilic fungus Myceliophthora thermophila.

Defei LiuZixiang XuJingen LiQian LiuQianqian YuanYanmei GuoHongwu MaChaoguang Tian
Published in: Biotechnology and bioengineering (2022)
Myceliophthora thermophila, a thermophilic fungus that can degrade and utilize all major polysaccharides in plant biomass, has great potential in biotechnological industries. Here, the first manually curated genome-scale metabolic model iDL1450 for M. thermophila was reconstructed using an autogenerating pipeline with thorough manual curation. The model contains 1450 genes, 2592 reactions, and 1784 unique metabolites. High accuracy was shown in predictions related to carbon and nitrogen source utilization based on data obtained from Biolog experiments. Besides, metabolism profiles were analyzed using iDL1450 integrated with transcriptomics data of M. thermophila at various growth temperatures. The refined model provides new insights into thermophilic fungi metabolism and sheds light on model-driven strain design to improve biotechnological applications of this thermophilic lignocellulosic fungus.
Keyphrases
  • anaerobic digestion
  • electronic health record
  • risk assessment
  • big data
  • single cell
  • gene expression
  • ms ms
  • wastewater treatment
  • artificial intelligence
  • human health