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Genome-scale metabolic modelling of extremophiles and its applications in astrobiological environments.
Noirungsee, Nuttapol; Changkhong, Sakunthip; Phinyo, Kittiya; Suwannajak, Chutipong; Tanakul, Nahathai; Inwongwan, Sahutchai.
Afiliação
  • Noirungsee N; Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
  • Changkhong S; Research Center of Microbial Diversity and Sustainable Utilizations, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
  • Phinyo K; Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
  • Suwannajak C; Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
  • Tanakul N; Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
  • Inwongwan S; Research group on Earth-Space Ecology (ESE), Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Environ Microbiol Rep ; 16(1): e13231, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38192220
ABSTRACT
Metabolic modelling approaches have become the powerful tools in modern biology. These mathematical models are widely used to predict metabolic phenotypes of the organisms or communities of interest, and to identify metabolic targets in metabolic engineering. Apart from a broad range of industrial applications, the possibility of using metabolic modelling in the contexts of astrobiology are poorly explored. In this mini-review, we consolidated the concepts and related applications of applying metabolic modelling in studying organisms in space-related environments, specifically the extremophilic microbes. We recapitulated the current state of the art in metabolic modelling approaches and their advantages in the astrobiological context. Our review encompassed the applications of metabolic modelling in the theoretical investigation of the origin of life within prebiotic environments, as well as the compilation of existing uses of genome-scale metabolic models of extremophiles. Furthermore, we emphasize the current challenges associated with applying this technique in extreme environments, and conclude this review by discussing the potential implementation of metabolic models to explore theoretically optimal metabolic networks under various space conditions. Through this mini-review, our aim is to highlight the potential of metabolic modelling in advancing the study of astrobiology.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Extremófilos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Extremófilos Idioma: En Ano de publicação: 2024 Tipo de documento: Article