Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States.
Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, United States; Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516, United States.
Curr Opin Biotechnol. 2020 Apr;62:123-128. doi: 10.1016/j.copbio.2019.09.003. Epub 2019 Oct 26.
Free-living microbes are generally capable of growing on multiple different nutrients. Some of those nutrients are used simultaneously, while others are used sequentially. The pattern of nutrient preferences and co-utilization defines the metabolic strategy of a microorganism. Metabolic strategies can substantially affect ecological interactions between species, but their evolution and distribution across the tree of life remain poorly characterized. We discuss how the confluence of better computational models of genotype-phenotype maps and high-throughput experimental tools can help us fill gaps in our knowledge and incorporate metabolic strategies into quantitative predictive models of microbial consortia.
自由生活的微生物通常能够在多种不同的营养物质上生长。其中一些营养物质是同时使用的,而另一些则是顺序使用的。营养偏好和共同利用的模式决定了微生物的代谢策略。代谢策略会极大地影响物种之间的生态相互作用,但它们在生命之树上的进化和分布仍未得到很好的描述。我们讨论了更好的基因型-表型图谱计算模型和高通量实验工具的融合如何帮助我们填补知识空白,并将代谢策略纳入微生物群落的定量预测模型中。