Vignolini Tiziano, Mengoni Alessio, Fondi Marco
LENS, European Laboratory for Non-linear Spectroscopy, University of Florence, Via Nello Carrara 1, 50019 Sesto Fiorentino, Florence, Italy.
Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Sesto Fiorentino, Florence, Italy.
Methods Mol Biol. 2018;1716:177-196. doi: 10.1007/978-1-4939-7528-0_8.
Intraspecific genomic exchanges happen frequently between bacteria living in the same natural environment and can also be performed artificially in the laboratory for basic research or genetic/metabolic engineering purposes. In silico metabolic reconstruction and simulation of the metabolism of the hybrid strains that result from these processes can be used to predict the phenotypic outcome of such genomic rearrangements; this can be especially helpful as a designing tool in the purview of synthetic biology. However, reconstructing the metabolism of a bacterium with a hybrid genome through in silico approaches is not a trivial task, as it requires taking into account the complex relationships existing between metabolic genes and how they change (or remain unchanged) when new genes are placed in a different genomic context. Furthermore, in order to "mix" the metabolic models of different bacterial strains one needs at least two different metabolic models to begin with, and reconstructing a genome-scale model from the ground up is a challenging task itself, requiring an intensive manual effort and a great deal of information. In this chapter, we propose two general protocols to address the aforementioned issues of: (1) quickly generating strain-specific metabolic models, given the relevant genomic sequence and an already existing, high-quality metabolic model of a different strain belonging to the same species, and (2) reconstructing the metabolic model of a hybrid strain containing genomic elements from two different parental strains.
生活在同一自然环境中的细菌之间经常发生种内基因组交换,并且为了基础研究或遗传/代谢工程目的,也可以在实验室中人工进行这种交换。对这些过程产生的杂交菌株的代谢进行计算机代谢重建和模拟,可用于预测此类基因组重排的表型结果;在合成生物学领域,这作为一种设计工具可能会特别有帮助。然而,通过计算机方法重建具有杂交基因组的细菌的代谢并非易事,因为这需要考虑代谢基因之间存在的复杂关系,以及当新基因置于不同基因组背景时它们如何变化(或保持不变)。此外,为了“混合”不同细菌菌株的代谢模型,首先至少需要两个不同的代谢模型,而从头开始重建基因组规模的模型本身就是一项具有挑战性的任务,需要大量的人工投入和大量信息。在本章中,我们提出了两个通用方案来解决上述问题:(1)给定相关基因组序列和同一物种中不同菌株已有的高质量代谢模型,快速生成菌株特异性代谢模型;(2)重建包含来自两个不同亲本菌株基因组元件的杂交菌株的代谢模型。