Department of Genomics, Branch for Northwest & West Region, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Tabriz, 5156915-598, Iran.
Department of Cellular and Molecular Biology, Faculty of Science, Azarbaijan Shahid Madani University, Tabriz, Iran.
Planta. 2024 Oct 5;260(5):114. doi: 10.1007/s00425-024-04543-7.
PPI analysis deepens our knowledge in critical processes like carbon fixation and nutrient sensing. Moreover, signaling networks, including pathways like MAPK/ERK and TOR, provide valuable information in how microalgae respond to environmental changes and stress. Additionally, species-species interaction networks for microalgae provide a comprehensive understanding of how different species interact within their environments. This review examines recent advancements in the study of biological networks within microalgae, with a focus on the intricate interactions that define these organisms. It emphasizes how network biology, an interdisciplinary field, offers valuable insights into microalgae functions through various methodologies. Crucial approaches, such as protein-protein interaction (PPI) mapping utilizing yeast two-hybrid screening and mass spectrometry, are essential for comprehending cellular processes and optimizing functions, such as photosynthesis and fatty acid biosynthesis. The application of advanced computational methods and information mining has significantly improved PPI analysis, revealing networks involved in critical processes like carbon fixation and nutrient sensing. The review also encompasses transcriptional networks, which play a role in gene regulation and stress responses, as well as metabolic networks represented by genome-scale metabolic models (GEMs), which aid in strain optimization and the prediction of metabolic outcomes. Furthermore, signaling networks, including pathways like MAPK/ERK and TOR, are crucial for understanding how microalgae respond to environmental changes and stress. Additionally, species-species interaction networks for microalgae provide a comprehensive understanding of how different species interact within their environments. The integration of these network biology approaches has deepened our understanding of microalgal interactions, paving the way for more efficient cultivation and new industrial applications.
PPI 分析加深了我们对碳固定和营养感应等关键过程的认识。此外,信号通路,如 MAPK/ERK 和 TOR 通路,提供了关于微藻如何响应环境变化和压力的宝贵信息。此外,微藻的种间相互作用网络提供了对不同物种在其环境中相互作用的全面理解。本综述考察了微藻中生物网络研究的最新进展,重点关注定义这些生物体的复杂相互作用。它强调了网络生物学这一跨学科领域如何通过各种方法为微藻功能提供有价值的见解。关键方法,如利用酵母双杂交筛选和质谱进行蛋白质-蛋白质相互作用(PPI)作图,对于理解细胞过程和优化功能(如光合作用和脂肪酸生物合成)至关重要。先进的计算方法和信息挖掘的应用极大地改进了 PPI 分析,揭示了参与碳固定和营养感应等关键过程的网络。该综述还包括转录网络,其在基因调控和应激响应中发挥作用,以及以基因组规模代谢模型(GEM)为代表的代谢网络,有助于菌株优化和代谢结果的预测。此外,信号通路,如 MAPK/ERK 和 TOR 通路,对于理解微藻如何响应环境变化和压力至关重要。此外,微藻的种间相互作用网络提供了对不同物种在其环境中相互作用的全面理解。这些网络生物学方法的整合加深了我们对微藻相互作用的理解,为更高效的培养和新的工业应用铺平了道路。
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