Integrated Science Lab, Umeå University, Umeå, Sweden.
Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.
PLoS Comput Biol. 2019 Jul 24;15(7):e1007169. doi: 10.1371/journal.pcbi.1007169. eCollection 2019 Jul.
Syntrophy allows a microbial community as a whole to survive in an environment, even though individual microbes cannot. The metabolic interdependence typical of syntrophy is thought to arise from the accumulation of degenerative mutations during the sustained co-evolution of initially self-sufficient organisms. An alternative and underexplored possibility is that syntrophy can emerge spontaneously in communities of organisms that did not co-evolve. Here, we study this de novo origin of syntrophy using experimentally validated computational techniques to predict an organism's viability from its metabolic reactions. We show that pairs of metabolisms that are randomly sampled from a large space of possible metabolism and viable on specific primary carbon sources often become viable on new carbon sources by exchanging metabolites. The same biochemical reactions that are required for viability on primary carbon sources also confer viability on novel carbon sources. Our observations highlight a new and important avenue for the emergence of metabolic adaptations and novel ecological interactions.
共生机理使得微生物群落作为一个整体能够在环境中生存,尽管单个微生物本身无法生存。共生机理中的代谢相互依存性被认为是由最初自给自足的生物体在持续共同进化过程中积累的退化突变引起的。另一种尚未得到充分探索的可能性是,在没有共同进化的生物体群落中,共生机理可以自发出现。在这里,我们使用经过实验验证的计算技术来研究共生机理的这种从头起源,该技术可以根据生物体的代谢反应来预测其生存能力。我们表明,从大量可能的代谢途径中随机抽样的代谢途径对特定的初级碳源具有代谢活性,而这些代谢途径通常可以通过交换代谢物在新的碳源上获得代谢活性。在初级碳源上生存所需的相同生化反应也赋予了新型碳源的生存能力。我们的观察结果突出了代谢适应和新型生态相互作用出现的一个新的重要途径。