Laboratory of Living Matter, The Rockefeller University, New York, NY 10065;
Laboratory of Living Matter, The Rockefeller University, New York, NY 10065.
Proc Natl Acad Sci U S A. 2021 Mar 30;118(13). doi: 10.1073/pnas.2023322118.
Isogenic populations often display remarkable levels of phenotypic diversity even in constant, homogeneous environments. Such diversity results from differences between individuals ("nongenetic individuality") as well as changes during individuals' lifetimes ("changeability"). Yet, studies that capture and quantify both sources of diversity are scarce. Here we measure the swimming behavior of hundreds of bacteria continuously over two generations and use a model-independent method for quantifying behavior to show that the behavioral space of is low-dimensional, with variations occurring mainly along two independent and interpretable behavioral traits. By statistically decomposing the diversity in these two traits, we find that individuality is the main source of diversity, while changeability makes a smaller but significant contribution. Finally, we show that even though traits of closely related individuals can be remarkably different, they exhibit positive correlations across generations that imply nongenetic inheritance. The model-independent experimental and theoretical framework developed here paves the way for more general studies of microbial behavioral diversity.
同基因群体在恒定、均一的环境中常常表现出显著水平的表型多样性。这种多样性源于个体之间的差异(“非遗传个体性”)以及个体一生中的变化(“可变性”)。然而,能够同时捕捉和量化这两种多样性来源的研究却很少。在这里,我们连续两代数百个细菌的游泳行为进行了测量,并使用一种无模型的方法来对行为进行量化,以表明的行为空间是低维的,主要沿着两个独立的、可解释的行为特征发生变化。通过对这两个特征的多样性进行统计分解,我们发现个体性是多样性的主要来源,而可变性的贡献虽然较小,但却具有统计学意义。最后,我们表明,即使是密切相关的个体的特征可能有很大的不同,但它们在代际之间表现出正相关,这暗示了非遗传的继承。这里所开发的无模型的实验和理论框架为更广泛的微生物行为多样性研究铺平了道路。