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Thermothielavioides terrestris

ABSTRACT: Soil-borne thermophilic fungus

PROVIDER: PRJNA32859 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	SRR891991_1.fastq.gz	Fastqsanger.gz
	SRR891991_2.fastq.gz	Fastqsanger.gz
	SRR891992_1.fastq.gz	Fastqsanger.gz
	SRR891992_2.fastq.gz	Fastqsanger.gz

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Project description:The thermophilic filamentous fungi Myceliophthora thermophila (Sporotrichum thermophile) and Thielavia terrestris are proficient decomposers of cellulose, suggesting that they will be a rich source of thermostable industrial enzymes for lignocellulose degradation. To identify the genes and proteins involved in this process, we explored the transcriptomes of M. thermophila and T. terrestris growing at 45 ºC on either glucose, alfalfa, or barley straw by short-read sequencing of extracted mRNA. To better understand the adaptations that allow these fungi to grow at elevated temperatures, we compared their transcriptomes when growing at 34C to their transcritomes at 45C, and also to the transcriptome of the related fungus Chaetomium globosum, which does not grow at 45C.

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Project description:Myceliophthora thermophila is a thermophilic fungus with great biotechnological characteristics for industrial applications, which can degrade and utilize all major polysaccharides in plant biomass. Nowadays, it has been developing into a platform for production of enzyme, commodity chemicals and biofuels. Therefore, an accurate genome-scale metabolic model would be an accelerator for this fungus becoming a universal chassis for biomanufacturing. Here we present a genome-scale metabolic model for M. thermophila constructed using an auto-generating pipeline with consequent thorough manual curation. Temperature plays a basic and critical role for the microbe growth. we are particularly interested in the genome wide response at metabolic layer of M. thermophilia as it is a thermophlic fungus. To study the effects of temperature on metabolic characteristics of M. thermophila growth, the fungus was cultivated under different temperature. The metabolic rearrangement predicted using context-specific GEMs integrating transcriptome data.The developed model provides new insights into thermophilic fungi metabolism and highlights model-driven strain design to improve biotechnological applications of this thermophilic lignocellulosic fungus.

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