Kai Li, J Edward F Green, Hayden Tronnolone, Alexander K Y Tam, Andrew J Black, Jennifer M Gardner, Joanna F Sundstrom, Vladimir Jiranek, Benjamin J Binder
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引用次数: 0
Abstract
We combine an off-lattice agent-based mathematical model and experimentation to explore filamentous growth of a yeast colony. Under environmental stress, Saccharomyces cerevisiae yeast cells can transition from a bipolar (sated) to unipolar (pseudohyphal) budding mechanism, where cells elongate and bud end-to-end. This budding asymmetry yields spatially non-uniform growth, where filaments extend away from the colony centre, foraging for food. We use approximate Bayesian computation to quantify how individual cell budding mechanisms give rise to spatial patterns observed in experiments. We apply this method of parameter inference to experimental images of colonies of two strains of S. cerevisiae, in low and high nutrient environments. The colony size at the transition from sated to pseudohyphal growth, and a forking mechanism for pseudohyphal cell proliferation are the key features driving colony morphology. Simulations run with the most likely inferred parameters produce colony morphologies that closely resemble experimental results.
我们将基于非晶格代理的数学模型与实验相结合,探索酵母菌群的丝状生长。在环境压力下,酿酒酵母细胞可从双极(饱食)萌发机制过渡到单极(假头)萌发机制,在单极萌发机制中,细胞伸长并端对端萌发。这种出芽的不对称产生了空间上的非均匀生长,菌丝从菌落中心向外延伸,觅食。我们使用近似贝叶斯计算方法来量化实验中观察到的单个细胞出芽机制是如何产生空间模式的。我们将这种参数推断方法应用于低养分和高养分环境下两种 S. cerevisiae 菌株菌落的实验图像。从饱食生长向假茎生长过渡时的菌落大小以及假茎细胞增殖的分叉机制是驱动菌落形态的关键特征。利用最有可能推断出的参数进行模拟,得出的菌落形态与实验结果非常相似。
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