生长不稳定性决定了微生物菌落的形态和遗传多样性。

IF 2 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Alexander Golden, Ilija Dukovski, Daniel Segrè, Kirill S Korolev
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引用次数: 0

摘要

细胞群的形状千奇百怪,从圆形模具到不规则肿瘤,不一而足。虽然我们了解造成这些空间模式的许多机制,但对种群的形状如何影响其生态和进化却知之甚少。在这里,我们以生长在硬琼脂平板上的微生物菌落为背景来研究这种关系。这是一个经过充分研究的系统,当营养浓度或细胞运动性降低时,它的形状会从光滑的圆盘过渡到更加不规则和凹凸不平的形状。从菌落生长的机理模型出发,我们确定了两个无量纲量,它们决定了种群的形态和遗传多样性如何取决于模型参数。我们的模拟进一步揭示了种群动态不能用常用的表面生长模型来准确描述。相反,我们必须明确考虑新出现的生长不稳定性和人口波动。总之,我们的工作将环境条件、群体形态和进化联系在了一起。这种联系对于合理设计具体的生物物理扰动以引导进化向预期方向发展至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Growth instabilities shape morphology and genetic diversity of microbial colonies.

Cellular populations assume an incredible variety of shapes ranging from circular molds to irregular tumors. While we understand many of the mechanisms responsible for these spatial patterns, little is known about how the shape of a population influences its ecology and evolution. Here, we investigate this relationship in the context of microbial colonies grown on hard agar plates. This a well-studied system that exhibits a transition from smooth circular disks to more irregular and rugged shapes as either the nutrient concentration or cellular motility is decreased. Starting from a mechanistic model of colony growth, we identify two dimensionless quantities that determine how morphology and genetic diversity of the population depend on the model parameters. Our simulations further reveal that population dynamics cannot be accurately described by the commonly-used surface growth models. Instead, one has to explicitly account for the emergent growth instabilities and demographic fluctuations. Overall, our work links together environmental conditions, colony morphology, and evolution. This link is essential for a rational design of concrete, biophysical perturbations to steer evolution in the desired direction.

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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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