Gandhi Saurabh R, Yurtsev Eugene Anatoly, Korolev Kirill S, Gore Jeff
Physics of Living Systems Group, Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139;
Department of Physics, Boston University, Boston, MA 02215; Graduate Program in Bioinformatics, Boston University, Boston, MA 02215
Proc Natl Acad Sci U S A. 2016 Jun 21;113(25):6922-7. doi: 10.1073/pnas.1521056113. Epub 2016 May 16.
Range expansions are becoming more frequent due to environmental changes and rare long-distance dispersal, often facilitated by anthropogenic activities. Simple models in theoretical ecology explain many emergent properties of range expansions, such as a constant expansion velocity, in terms of organism-level properties such as growth and dispersal rates. Testing these quantitative predictions in natural populations is difficult because of large environmental variability. Here, we used a controlled microbial model system to study range expansions of populations with and without intraspecific cooperativity. For noncooperative growth, the expansion dynamics were dominated by population growth at the low-density front, which pulled the expansion forward. We found these expansions to be in close quantitative agreement with the classical theory of pulled waves by Fisher [Fisher RA (1937) Ann Eugen 7(4):355-369] and Skellam [Skellam JG (1951) Biometrika 38(1-2):196-218], suitably adapted to our experimental system. However, as cooperativity increased, the expansions transitioned to being pushed, that is, controlled by growth and dispersal in the bulk as well as in the front. Given the prevalence of cooperative growth in nature, understanding the effects of cooperativity is essential to managing invading species and understanding their evolution.
由于环境变化以及罕见的长距离扩散(通常由人类活动促成),分布范围扩张正变得愈发频繁。理论生态学中的简单模型从诸如生长和扩散速率等生物体层面的特性出发,解释了分布范围扩张的许多涌现特性,比如恒定的扩张速度。由于环境变化很大,在自然种群中检验这些定量预测十分困难。在此,我们使用一个可控的微生物模型系统来研究有或没有种内合作情况下种群的分布范围扩张。对于非合作生长,扩张动态主要由低密度前沿的种群增长主导,这种增长推动了扩张。我们发现这些扩张在数量上与费希尔[费希尔·R·A(1937年)《人类遗传学杂志》7(4):355 - 369]和斯凯拉姆[斯凯拉姆·J·G(1951年)《生物统计学》38(1 - 2):196 - 218]提出的经典拖曳波理论非常吻合,并针对我们的实验系统进行了适当调整。然而,随着合作性增强,扩张转变为被推动,也就是说,由主体以及前沿的生长和扩散控制。鉴于自然界中合作生长的普遍性,理解合作性的影响对于管理入侵物种及其进化至关重要。