Panahi Bahman, Hosseinzadeh Gharajeh Nahid, Mohammadzadeh Jalaly Hossein, Hejazi Mohammad Amin
Department of Genomics, Branch for Northwest & West Region, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Tabriz, Iran.
Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Biochem Biophys Rep. 2024 Jun 21;39:101759. doi: 10.1016/j.bbrep.2024.101759. eCollection 2024 Sep.
Systems biology is an interdisciplinary field that aims to understand complex biological processes at the system level. The data, driven by high-throughput omics technologies, can be used to study the underpinning mechanisms of metabolite production under different conditions to harness this knowledge for the construction of regulatory networks, protein networks, metabolic models, and engineering of strains with enhanced target metabolite production in microalgae. In the current study, we comprehensively reviewed the recent progress in the application of these technologies for the characterization of carotenoid biosynthesis pathways in microalgae. Moreover, harnessing integrated approaches such as network analysis, meta-analysis, and machine learning models for deciphering the complexity of carotenoid biosynthesis pathways were comprehensively discussed.
系统生物学是一个跨学科领域,旨在从系统层面理解复杂的生物过程。由高通量组学技术驱动的数据可用于研究不同条件下代谢物产生的潜在机制,以便利用这些知识构建调控网络、蛋白质网络、代谢模型,并对微藻中目标代谢物产量提高的菌株进行工程改造。在本研究中,我们全面综述了这些技术在微藻类胡萝卜素生物合成途径表征应用方面的最新进展。此外,还全面讨论了利用网络分析、荟萃分析和机器学习模型等综合方法来解读类胡萝卜素生物合成途径的复杂性。