Modeling and quantifying frequency-dependent fitness in microbial populations with cross-feeding interactions
Modeling and quantifying frequency-dependent fitness in microbial populations with cross-feeding interactions
复制标题
通过交叉喂养相互作用对微生物种群中频率依赖性适应性进行建模和量化
DOI：
10.1111/evo.12645
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
R. Lenski
中科院分区：
文献类型：
--
作者：
Noah Ribeck;R. Lenski
多个种群通过频率依赖性选择共存在自然界中很常见，即使在微生物的混合实验中也经常出现。如果生态学被纳入群体遗传学的模型，那么重要的是要准确地表示频率依赖的相互作用的功能形式。然而，测量这种函数形式对于传统的适应性测定是有问题的，传统的适应性测定假设在测定过程中竞争者之间的恒定适应性差异。在这里，我们提出了一个理论框架，用于测量的功能形式的频率依赖的健身占丰富和相对健身的变化，在竞争试验。使用两个例子的生态共存，出现在一个长期的进化实验与大肠杆菌，我们说明了准确的量化的功能形式的频率依赖的相对健身。使用莫诺型模型的增长动力学，我们表明，两个生态型在一个典型的交叉喂养的相互作用，如当一个细菌种群使用的副产品产生的另一个产量相对健身，是线性的相对频率。
Coexistence of multiple populations by frequency-dependent selection is common in nature, and it often arises even in well-mixed experiments with microbes. If ecology is to be incorporated into models of population genetics, then it is important to represent accurately the functional form of frequency-dependent interactions. However, measuring this functional form is problematic for traditional fitness assays, which assume a constant fitness difference between competitors over the course of an assay. Here, we present a theoretical framework for measuring the functional form of frequency-dependent fitness by accounting for changes in abundance and relative fitness during a competition assay. Using two examples of ecological coexistence that arose in a long-term evolution experiment with Escherichia coli, we illustrate accurate quantification of the functional form of frequency-dependent relative fitness. Using a Monod-type model of growth dynamics, we show that two ecotypes in a typical cross-feeding interaction—such as when one bacterial population uses a byproduct generated by another—yields relative fitness that is linear with relative frequency.
影响因子：
3.3
作者：
R. Helling;Christopher N. Vargas;Julian Adams
通讯作者：
R. Helling;Christopher N. Vargas;Julian Adams
DOI：
10.1101/sqb.2009.74.018
发表时间：
2009
期刊：
Cold Spring Harbor symposia on quantitative biology
影响因子：
--
作者：
Barrick JE;Lenski RE
通讯作者：
Lenski RE
简单非结构化环境中的微生物进化：大肠杆菌的遗传分化。
影响因子：
3.3
作者：
Rosenzweig,RF;Sharp,RR;Treves,DS;Adams,J
通讯作者：
Adams,J