Silwood Park Campus, Department of Life Sciences, Imperial College London, Ascot, UK.
Microbial Sciences Institute, West Campus, Yale University, West Haven, CT, USA.
Nat Ecol Evol. 2019 Aug;3(8):1162-1171. doi: 10.1038/s41559-019-0952-9. Epub 2019 Jul 29.
Understanding the ecological and evolutionary processes determining the outcome of biological invasions has been the subject of decades of research with most work focusing on macro-organisms. In the context of microbes, invasions remain poorly understood despite being increasingly recognized as important. To shed light on the factors affecting the success of microbial community invasions, we perform simulations using an individual-based nearly neutral model that combines ecological and evolutionary processes. Our simulations qualitatively recreate many empirical patterns and lead to a description of five general rules of invasion: (1) larger communities evolve better invaders and better defenders; (2) where invader and resident fitness difference is large, invasion success is essentially deterministic; (3) propagule pressure contributes to invasion success, if and only if, invaders and residents are competitively similar; (4) increasing the diversity of invaders has a similar effect to increasing the number of invaders; and (5) more diverse communities more successfully resist invasion.
理解决定生物入侵结果的生态和进化过程是几十年来研究的主题,其中大部分工作集中在宏观生物上。在微生物的背景下,尽管入侵现象越来越被认为是重要的,但仍知之甚少。为了阐明影响微生物群落入侵成功的因素,我们使用一种基于个体的近中性模型进行模拟,该模型结合了生态和进化过程。我们的模拟定性地再现了许多经验模式,并提出了入侵的五个一般规则的描述:(1)更大的群落进化出更好的入侵种和更好的防御者;(2)当入侵种和本地种的适应度差异较大时,入侵成功基本上是确定性的;(3)如果入侵种和本地种具有竞争性相似性,那么繁殖体压力有助于入侵成功;(4)增加入侵种的多样性与增加入侵种的数量具有相似的效果;(5)更多样化的群落更成功地抵抗入侵。