酵母适应了由基因组学和代谢重编程驱动的各种生态
Haoyu Wang1,2,3, Jens Nielsen4,5, Yongjin J Zhou2,6,7
1State Key Laboratory of Microbial Metabolism, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
概括
这项研究揭示了酵母菌Saccharomyces cerevisiae如何通过重新编程其新陈代谢和基因组来适应各种环境. 研究人员分析了1807个菌株,发现了氧气有限的中代谢差异和融合进化.
科学领域:
- 微生物学 微生物学
- 系统生物学 系统生物学
- 代谢工程是代谢工程.
背景情况:
- 麦芽是一种在各种息地发现的关键模型生物.
- 了解其对不同利基的代谢适应是至关重要的,但仍然具有挑战性.
研究的目的:
- 描述Saccharomyces cerevisiae菌株的遗传和代谢多样性.
- 调查基因适应各种生态的代谢机制.
主要方法:
- 从 1,807 种Saccharomyces cerevisiae菌株组装了一个高质量的泛基体.
- 产生了 1,807 个特定菌株的基因组规模代谢模型 (ssGEM).
- 集成流量学和转录学数据与ssGEM进行深入分析.
主要成果:
- 确定了代谢流量的广泛转录调节,特别是在氨基酸合成中.
- 在利基适应菌株的基因组和代谢网络中证明了减少进化.
- 揭示了显著的代谢分歧和融合进化 (例如,在氧化酸化) 在氧气有限的环境中,如人类肠道和奶酪.
结论:
- 麦芽菌通过基因组和代谢重编程适应不同的利基.
- 开发了计算资源,用于在酵母菌中将基因型转换为适应性.
- 该研究提供了有关酵母进化和适应策略的见解.
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