Synthetic microbial communities of heterotrophs and phototrophs facilitate sustainable growth

Synthetic microbial communities of heterotrophs and phototrophs facilitate sustainable growth
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DOI:
10.1038/s41467-020-17612-8
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发表时间:
2020-07
影响因子:
16.6
通讯作者:
C. Zuñiga;Tingting Li;M. Guarnieri;J. Jenkins;Chien-Ting Li;Kerem Bingol;Young-Mo Kim;M. Betenbaugh-M.-Be
C. Zuñiga;Tingting Li;M. Guarnieri;J. Jenkins;Chien-Ting Li;Kerem Bingol;Young-Mo Kim;M. Betenbaugh-M.-Be
中科院分区:
综合性期刊1区
文献类型:
--
作者:
C. Zuñiga;Tingting Li;M. Guarnieri;J. Jenkins;Chien-Ting Li;Kerem Bingol;Young-Mo Kim;M. Betenbaugh-M.-Be

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由光养生物和异养生物组成的微生物群落在可持续生物技术方面具有很大的前景。这些社区的成功应用依赖于选择合适的合作伙伴。在此,我们构建了四个群落代谢模型来指导菌株选择,将光养、分泌蔗糖的长聚球菌与异养大肠杆菌k -12、大肠杆菌w、多脂耶氏菌或枯草芽孢杆菌配对。模型模拟揭示了代谢交换在缺乏任何有机碳源的最小介质中维持异养生物,指向toS。elongatus-E。coliK-12是最活跃的社区。通量预测的实验验证证实了代谢相互作用和潜在的生产能力。合成菌群绕过了成员特异性代谢瓶颈(例如组氨酸和转运相关反应),并补偿了致命的遗传性状,从致命的基因敲除中实现了高达27%的恢复。该研究为合理设计具有最佳生长可持续性的合成群落提供了一个强大的建模框架。
Microbial communities comprised of phototrophs and heterotrophs hold great promise for sustainable biotechnology. Successful application of these communities relies on the selection of appropriate partners. Here we construct four community metabolic models to guide strain selection, pairing phototrophic, sucrose-secretingSynechococcus elongatuswith heterotrophicEscherichia coliK-12,Escherichia coliW,Yarrowia lipolytica, orBacillus subtilis. Model simulations reveae metabolic exchanges that sustain the heterotrophs in minimal media devoid of any organic carbon source, pointing toS. elongatus-E. coliK-12 as the most active community. Experimental validation of flux predictions for this pair confirms metabolic interactions and potential production capabilities. Synthetic communities bypass member-specific metabolic bottlenecks (e.g. histidine- and transport-related reactions) and compensate for lethal genetic traits, achieving up to 27% recovery from lethal knockouts. The study provides a robust modelling framework for the rational design of synthetic communities with optimized growth sustainability using phototrophic partners.