Suppr超能文献

连续引入事件之间的时间间隔决定了具有阿利效应的细菌的建立成功率。

Timing between successive introduction events determines establishment success in bacteria with an Allee effect.

机构信息

Department of Biological Sciences, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University , Fort Lauderdale, FL , USA.

出版信息

Proc Biol Sci. 2019 May 15;286(1902):20190598. doi: 10.1098/rspb.2019.0598.

Abstract

Propagule pressure is a leading determinant of population establishment. Yet, an experimental understanding of how propagule size and number (two principal parts of propagule pressure) determine establishment success remains incomplete. Theoretical studies suggest that the timing between introduction events, a component of propagule number, can influence establishment success. However, this dynamic has rarely been explored experimentally. Using Escherichia coli engineered with an Allee effect, we investigated how the timing of two introduction events influences establishment. For populations introduced below the Allee threshold, establishment occurred if the time between two introduction events was sufficiently short, with the length of time between events further reduced by reducing growth rate. Interestingly, we observed that as the density of bacteria introduced in one introduction event increased, the time between introduction events that allowed for establishment increased. Using a mathematical model, we provide support that the mechanism behind these trends is the ability of the first population to modify the environment, which can pave the way for establishment of the second population. Our results provide experimental evidence that the temporal distribution of introduction events regulates establishment, furthering our understanding of propagule pressure and may have implications in invasion biology and infectious disease.

摘要

繁殖体压力是种群建立的主要决定因素。然而,对于繁殖体大小和数量(繁殖体压力的两个主要部分)如何决定建立成功的实验理解仍然不完整。理论研究表明,引入事件之间的时间间隔(繁殖体数量的一个组成部分)会影响建立成功。然而,这种动态很少在实验中进行探索。使用具有阿利效应的大肠杆菌,我们研究了两个引入事件的时间如何影响建立。对于低于阿利阈值引入的种群,如果两次引入事件之间的时间足够短,则会发生建立,并且通过降低生长速率进一步缩短事件之间的时间。有趣的是,我们观察到,随着在一次引入事件中引入的细菌密度增加,允许建立的引入事件之间的时间增加。使用数学模型,我们提供了支持这些趋势背后机制的证据,即第一个种群改变环境的能力,这为第二个种群的建立铺平了道路。我们的研究结果提供了实验证据,表明引入事件的时间分布调节建立,进一步加深了我们对繁殖体压力的理解,并可能对入侵生物学和传染病学产生影响。

相似文献

本文引用的文献

1
Model of bacterial toxin-dependent pathogenesis explains infective dose.细菌毒素依赖性发病机制模型解释了感染剂量。
Proc Natl Acad Sci U S A. 2018 Oct 16;115(42):10690-10695. doi: 10.1073/pnas.1721061115. Epub 2018 Oct 2.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验