Stability of Cross-Feeding Polymorphisms in Microbial Communities.
Stability of Cross-Feeding Polymorphisms in Microbial Communities.
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DOI：
10.1371/journal.pcbi.1005269
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发表时间：
2016-12
影响因子：
4.3
通讯作者：
Rosenzweig F
中科院分区：
文献类型：
--
作者：
Gudelj I;Kinnersley M;Rashkov P;Schmidt K;Rosenzweig F
交叉喂养是一种关系，其中一个生物体消耗另一个生物体分泌的代谢物，这是自然和临床相关微生物群落的普遍特征，可能是在极端和/或营养贫乏的环境中促进多样性的关键因素。然而，目前还不清楚交叉喂养相互作用形成的可能性有多大，因此我们预测它们出现的能力是有限的。在这篇文章中，我们开发了一个数学模型，使用来自大肠杆菌交叉喂养实验室系统的生化和生态学数据进行了参数化。该模型准确地捕捉了两个竞争者的短期动态，我们用它来系统地探索在一系列环境条件下交叉喂养相互作用的稳定性。我们发现，我们的简单系统可以表现出复杂的动力学行为，包括由临界点分隔的多稳态行为。因此，是否形成交叉饲养互动取决于竞争者的密度和频率之间的复杂相互作用以及资源在环境中的集中程度。此外，我们发现，微妙的不同环境条件可以导致关于交叉喂养建立的显著不同的结果，这可以解释实验结果中明显不可预测的种群间差异。我们认为，数学模型是解开交叉馈入相互作用复杂性的基本工具。简单的环境，甚至那些在实验室实验进化中使用的环境，已经被证明比最初认为的要丰富得多，能够产生和支持遗传和表型多样性。戈斯的开创性竞争排斥理论没有预见到这一点，该理论预测，简单的单一生态位环境不能支持多样性。我们现在知道，在简单的环境中，交叉喂养的相互作用可能是维持多样性的主要驱动因素。交叉喂养是一种关系，其中一个生物体消耗另一个生物体排泄的代谢物，这是自然和临床相关微生物群落甚至肿瘤细胞群的普遍特征。然而，目前还不清楚这种关系形成的难易程度，因此我们预测它们出现的能力是有限的。在这里，我们建立了交叉馈入的数学模型，发现该系统可以表现出复杂的动力学行为，包括由临界点分开的多稳态行为。因此，交叉饲养的出现依赖于竞争对手的密度和频率之间的复杂相互作用。此外，我们预测，环境条件的微小变化可能会导致从交叉饲养允许状态到交叉饲养禁止状态的突然和不可逆转的转变。我们认为，数学模型是解开交叉馈入相互作用复杂性的基本工具。
Cross-feeding, a relationship wherein one organism consumes metabolites excreted by another, is a ubiquitous feature of natural and clinically-relevant microbial communities and could be a key factor promoting diversity in extreme and/or nutrient-poor environments. However, it remains unclear how readily cross-feeding interactions form, and therefore our ability to predict their emergence is limited. In this paper we developed a mathematical model parameterized using data from the biochemistry and ecology of an E. coli cross-feeding laboratory system. The model accurately captures short-term dynamics of the two competitors that have been observed empirically and we use it to systematically explore the stability of cross-feeding interactions for a range of environmental conditions. We find that our simple system can display complex dynamics including multi-stable behavior separated by a critical point. Therefore whether cross-feeding interactions form depends on the complex interplay between density and frequency of the competitors as well as on the concentration of resources in the environment. Moreover, we find that subtly different environmental conditions can lead to dramatically different results regarding the establishment of cross-feeding, which could explain the apparently unpredictable between-population differences in experimental outcomes. We argue that mathematical models are essential tools for disentangling the complexities of cross-feeding interactions. Simple environments, even those used in laboratory experimental evolution, have proven vastly richer than originally thought, capable of generating and supporting genetic and phenotypic diversity. This was not foreseen by Gause’s seminal competitive exclusion theory, which predicted that simple single niche environments cannot support diversity. We now know that cross-feeding interactions can be a major driver of diversity maintenance in simple environments. Cross-feeding, a relationship wherein one organism consumes metabolites excreted by another, is a ubiquitous feature of natural and clinically-relevant microbial communities and even tumour cell populations. However, it remains unclear how readily such relationships form, and therefore our ability to predict their emergence is limited. Here we developed a mathematical model of cross-feeding and find that this system can display complex dynamics including multi-stable behaviour separated by a critical point. Therefore, the emergence of cross-feeding depends on complex interplay between density and frequency of competitors. Moreover we predict that small changes in environmental conditions can cause abrupt and irreversible shifts from cross-feeding permissive to cross-feeding prohibitive states. We argue that mathematical models are essential tools for disentangling the complexities of cross-feeding interactions.
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影响因子：
3.8
作者：
DAVISON, BH;STEPHANOPOULOS, G
通讯作者：
STEPHANOPOULOS, G
影响因子：
4.5
作者：
Hong J;Gresham D
通讯作者：
Gresham D
宏基因组学和宏转录组学揭示酸性矿山排水中优势和稀有原核生物的生态作用
DOI：
10.1038/ismej.2014.212
发表时间：
2015-06
期刊：
The ISME journal
影响因子：
--
作者：
通讯作者：
--
影响因子：
6.7
作者：
Levert M;Zamfir O;Clermont O;Bouvet O;Lespinats S;Hipeaux MC;Branger C;Picard B;Saint-Ruf C;Norel F;Balliau T;Zivy M;Le Nagard H;Cruveiller S;Chane-Woon-Ming B;Nilsson S;Gudelj I;Phan K;Ferenci T;Tenaillon O;Denamur E
通讯作者：
Denamur E
DOI：
10.1098/rspb.2003.2387
发表时间：
2003-07-22
影响因子：
4.7
作者：
Fiegna, F;Velicer, GJ
通讯作者：
Velicer, GJ