微藻驱动的碳捕获、利用和储存的最新进展:通过适应性实验室进化和微生物组优化的菌株工程

Zhongshi He , Jing Wang , Yantao Li
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引用次数: 0

摘要

微藻作为碳捕获、利用和封存(CCUS)生物资源的潜力已被广泛讨论。虽然基因工程方法已被用于改善微藻表型,但他们经常面临与公众对转基因生物的关注相关的挑战。相比之下,适应性实验室进化(ALE)和微生物组优化已成为有前途的非基因修饰策略,在细菌模型中取得了显著成功。在微藻中,ALE已被用于提高对各种环境和应激因素的抵御能力,提高碳捕获效率,并通过手动或自动选择的有益突变的逐渐积累来生产有价值的生物产品。此外,对藻圈中微生物共生关系的理解的进步促进了微藻培养系统中微生物组的优化,显着提高了它们的功能和生产力。在本研究中,我们全面概述了在不同碳排放情景下(包括烟气、沼气、废水和垃圾渗滤液)CCUS中微藻的ALE和微生物组优化的最新进展。我们进一步讨论了ALE与微生物组优化整合的当前挑战和未来方向,重点是这些方法的潜在协同作用。总体而言,ALE和微生物组优化是指导微藻用于环境和工业CCUS应用的有前途的方法,从而减少全球碳排放,应对气候变化挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in microalgae-driven carbon capture, utilization, and storage: Strain engineering through adaptive laboratory evolution and microbiome optimization
The potential of microalgae as a biological resource for carbon capture, utilization, and storage (CCUS) has been extensively discussed. Although genetic engineering methods have been employed to improve microalgal phenotypes, they often face challenges related to public concerns regarding genetically modified organisms. By contrast, adaptive laboratory evolution (ALE) and microbiome optimization have emerged as promising non-genetic modification strategies, with notable success in bacterial models. In microalgae, ALE has been employed to improve resilience against varying environmental and stress factors and increase carbon capture efficiency, and for the production of valuable bioproducts through gradual accumulation of beneficial mutations following manual or automated selection. Furthermore, advancements in the understanding of microbial symbiotic relationships in the phycosphere have facilitated microbiome optimization in microalgal cultivation systems, significantly improving their functionality and productivity. In this study, we provide a comprehensive overview of the latest advancements in ALE and microbiome optimization of microalgae for CCUS across different carbon emission scenarios, including flue gas, biogas, wastewater, and landfill leachate. We further discuss the current challenges and future directions for the integration of ALE with microbiome optimization, focusing on the potential synergies of these methodologies. Overall, ALE and microbiome optimization are promising approaches to direct microalgae for environmental and industrial CCUS applications, thereby reducing global carbon emissions and addressing climate change challenges.
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