Determining causal links between interaction type and network structure in microbial communities

确定微生物群落中相互作用类型和网络结构之间的因果关系

基本信息

批准号：
NE/S000771/1
负责人：
Angus Buckling
金额：
$ 71.29万
依托单位：
UNIVERSITY OF EXETER
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FS000771%2F1
关键词：
Determining causal links between interaction

项目摘要

Ecological communities exist as networks of interacting species, and the structure of these networks determine their stability and function. Observational studies suggest that network structure depends upon whether interactions between species are predominantly mutualistic or antagonistic, however the causality of this relationship remains unclear. Here, we will use communities of bacteria and their symbiotic plasmids to experimentally determine how interaction type (mutualistic versus antagonistic) affects community network structure. Our system is ideal to address these questions because bacteria-plasmid interactions can be switched from antagonistic to mutualistic through simple environmental manipulations (the addition of antibiotics to which the plasmids confer resistance), and changes in community network structure can be observed over a matter of weeks. The large-scale of this project is made possible by the application of a novel culture-free method, epicPCR, which allows high-throughput assessment of bacteria-plasmid associations. The predicted role of ecological stability, as well as novel eco-evolutionary mechanisms, underpinning the interaction type-network structure relationships will be assessed by a combination of phenotypic and genetic experiments complemented by theory.

生态社区作为相互作用的物种网络存在，这些网络的结构决定了它们的稳定性和功能。观察性研究表明，网络结构取决于物种之间的相互作用是主要是互相主义还是拮抗作用，但是这种关系的因果关系尚不清楚。在这里，我们将使用细菌及其共生质粒群落来实验确定相互作用类型（相互主义与拮抗作用）如何影响社区网络结构。我们的系统是解决这些问题的理想选择，因为可以通过简单的环境操纵（添加质粒赋予抗药性的抗生素）将细菌 - 质粒相互作用从拮抗作用转向相互主义，并且可以在几周内观察到社区网络结构的变化。通过应用一种新型的无培养方法EPICPCR，该项目的大规模可以使细菌 - 质粒缔合的高通量评估。生态稳定性的预测作用以及新型的生态进化机制，基于相互作用类型网络结构关系的基础，将通过理论补充的表型和基因实验的结合来评估。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Fitness effects of plasmids shape the structure of bacteria-plasmid interaction networks.

DOI：
10.1073/pnas.2118361119
发表时间：
2022-05-31
期刊：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
影响因子：
11.1
作者：
Newbury, Arthur;Dawson, Beth;Umper, Uli Kl;Hesse, Elze;Castledine, Meaghan;Fontaine, Colin;Buckling, Angus;Sanders, Dirk
通讯作者：
Sanders, Dirk

Increased copy number couples the evolution of plasmid horizontal transmission and plasmid-encoded antibiotic resistance

DOI：
10.1073/pnas.2107818118
发表时间：
2021-08-03
期刊：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
影响因子：
11.1
作者：
Dimitriu, Tatiana;Matthews, Andrew C.;Buckling, Angus
通讯作者：
Buckling, Angus

Whole community invasions and the integration of novel ecosystems.

DOI：
10.1371/journal.pcbi.1010151
发表时间：
2022-06
期刊：
PLoS computational biology
影响因子：
4.3
作者：
通讯作者：

Parallel evolution of Pseudomonas aeruginosa phage resistance and virulence loss in response to phage treatment in vivo and in vitro.

DOI：
10.7554/elife.73679
发表时间：
2022-02-21
期刊：
eLife
影响因子：
7.7
作者：
Castledine M;Padfield D;Sierocinski P;Soria Pascual J;Hughes A;Mäkinen L;Friman VP;Pirnay JP;Merabishvili M;de Vos D;Buckling A
通讯作者：
Buckling A

Greater Phage Genotypic Diversity Constrains Arms-Race Coevolution.