A quantitative test of population genetics using spatiogenetic patterns in bacterial colonies.

A quantitative test of population genetics using spatiogenetic patterns in bacterial colonies.
复制标题

DOI:
10.1086/661897
复制
发表时间:
2011-10
期刊:
The American naturalist
影响因子:
--
通讯作者:
Foster KR
Foster KR
中科院分区:
其他
文献类型:
--
作者:
Korolev KS;Xavier JB;Nelson DR;Foster KR

文献摘要

参考文献

被引文献

相似文献

人们普遍认为,群体遗传学理论是进化分析的基石。然而,由于空间、扩散和进化之间的复杂关系,该理论的实验测试是具有挑战性的。关键的是,我们缺乏对种群遗传学空间模型的量化验证。在这里,我们结合了分析、格上和格外模拟以及细菌实验来执行该理论的定量测试。我们研究了两个细菌物种,肠道微生物大肠杆菌和条件致病菌铜绿假单胞菌,并表明这两个物种的菌落生物膜中的空间遗传模式可以通过一维踏脚石模型的扩展得到准确的描述。我们使用一种经验指标--菌落外围的遗传多样性--来参数化我们的模型,并表明我们可以准确地预测另一个关键变量:细胞沿边缘的短距离迁移程度。此外,该模型还允许我们估计其他关键参数,包括扩张前沿的有效人口规模(密度)。虽然我们的实验系统是自然微生物群落的简化,但我们认为它构成了种群遗传学空间模型可以定量捕捉生物进化的原则证明。
It is widely accepted that population-genetics theory is the cornerstone of evolutionary analyses. Empirical tests of the theory, however, are challenging because of the complex relationships between space, dispersal, and evolution. Critically, we lack quantitative validation of the spatial models of population genetics. Here we combine analytics, on- and off-lattice simulations, and experiments with bacteria to perform quantitative tests of the theory. We study two bacterial species, the gut microbe Escherichia coli and the opportunistic pathogen Pseudomonas aeruginosa, and show that spatiogenetic patterns in colony biofilms of both species are accurately described by an extension of the one-dimensional stepping-stone model. We use one empirical measure, genetic diversity at the colony periphery, to parameterize our models and show that we can then accurately predict another key variable: the degree of short-range cell migration along an edge. Moreover, the model allows us to estimate other key parameters, including effective population size (density) at the expansion frontier. While our experimental system is a simplification of natural microbial community, we argue that it constitutes proof of principle that the spatial models of population genetics can quantitatively capture organismal evolution.
DOI: 10.1137/s0036139900371709
发表时间: 2002-02-21
影响因子: 1.9
作者:
Dockery, J;Klapper, I
通讯作者: Klapper, I
DOI: 10.1103/physrevlett.56.889
发表时间: 1986-03-03
影响因子: 8.6
作者:
KARDAR, M;PARISI, G;ZHANG, YC
通讯作者: ZHANG, YC
DOI: 10.1103/physreve.68.061912
发表时间: 2003-12-01
期刊: PHYSICAL REVIEW E
影响因子: 2.4
作者:
Houchmandzadeh, B;Vallade, M
通讯作者: Vallade, M
DOI: 10.1016/0022-5193(64)90039-6
发表时间: 1964-01-01
影响因子: 2
作者:
HAMILTON, WD
通讯作者: HAMILTON, WD
DOI: 10.1046/j.1365-2958.2003.03688.x
发表时间: 2003-10-01
影响因子: 3.6
作者:
Hammer, BK;Bassler, BL
通讯作者: Bassler, BL