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A Novel Draft Genome-Scale Reconstruction Model of Isochrysis sp: Exploring Metabolic Pathways for Sustainable Aquaculture Innovations

  • Abhishek Sengupta (Systems Biology and Data Analytics Research Lab, Amity Institute of Biotechnology, Amity University) ;
  • Tushar Gupta (Systems Biology and Data Analytics Research Lab, Amity Institute of Biotechnology, Amity University) ;
  • Aman Chakraborty (Systems Biology and Data Analytics Research Lab, Amity Institute of Biotechnology, Amity University) ;
  • Sudeepti Kulshrestha (Systems Biology and Data Analytics Research Lab, Amity Institute of Biotechnology, Amity University) ;
  • Ritu Redhu (Systems Biology and Data Analytics Research Lab, Amity Institute of Biotechnology, Amity University) ;
  • Raya Bhattacharjya (Diatom Research Laboratory, Amity Institute of Biotechnology, Amity University) ;
  • Archana Tiwari (Diatom Research Laboratory, Amity Institute of Biotechnology, Amity University) ;
  • Priyanka Narad (Systems Biology and Data Analytics Research Lab, Amity Institute of Biotechnology, Amity University)
  • 투고 : 2023.09.22
  • 심사 : 2023.10.08
  • 발행 : 2024.06.28

초록

Isochrysis sp. is a sea microalga that has become a species of interest because of the extreme lipid content and rapid growth rate of this organism indicating its potential for efficient biofuel production. Using genome sequencing/genome-scale modeling for the prediction of Isochrysis sp. metabolic utilities there is high scope for the identification of essential pathways for the extraction of byproducts of interest at a higher rate. In our work, we design and present iIsochr964, a genome-scale metabolic model of Isochrysis sp. including 4315 reactions, 934 genes, and 1879 metabolites, which are distributed among fourteen compartments. For model validation, experimental culture, and isolation of Isochrysis sp. were performed and biomass values were used for validation of the genome-scale model. OptFlux was instrumental in uncovering several novel metabolites that influence the organism's metabolism by increasing the flux of interacting metabolites, such as Malonyl-CoA, EPA, Protein and others. iIsochr964 provides a compelling resource of metabolic understanding to revolutionize its industrial applications, thereby fostering sustainable development and allowing estimations and simulations of the organism metabolism under varying physiological, chemical, and genetic conditions. It is also useful in principle to provide a systemic view of Isochrysis sp. metabolism, efficiently guiding research and granting context to omics data.

키워드

과제정보

We would like to acknowledge Dr. Ashok K. Chauhan, Founder President, Amity University Uttar Pradesh for providing us the opportunity to conduct research. We would also like thank Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University for providing us necessary resources.

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