Data from: Niche and fitness differences determine invasion success and impact in laboratory bacterial communities
Li, Shao-peng, Georgia Institute of Technology
Tan, Jiaqi, Georgia Institute of Technology
Yang, Xian, Georgia Institute of Technology
Ma, Chao, Anhui Agricultural University
Jiang, Lin, Georgia Institute of Technology
Published Sep 11, 2019 on Dryad.
Cite this dataset
Li, Shao-peng et al. (2019). Data from: Niche and fitness differences determine invasion success and impact in laboratory bacterial communities [Dataset]. Dryad. https://doi.org/10.5061/dryad.b5rg5cs
There is increasing awareness of invasion in microbial communities worldwide, but the mechanisms behind microbial invasions remain poorly understood. Specifically, we know little about how the evolutionary and ecological differences between invaders and natives regulate invasion success and impact. Darwin’s naturalization hypothesis suggests that the phylogenetic distance between invaders and natives could be a useful predictor of invasion, and modern coexistence theory proposes that invader-native niche and fitness differences combine to determine invasion outcome. However, the relative importance of phylogenetic distance, niche and fitness differences for microbial invasions has rarely been examined. By using laboratory bacterial microcosms as model systems, we experimentally assessed the roles of these differences for the success of bacterial invaders and their impact on native bacterial community structure. We found that the phylogenetic distance between invaders and natives failed to explain invasion success and impact for two of three invaders at the phylogenetic scale considered. Further, we found that invasion success was better explained by invader-native niche differences than relative fitness differences for all three invaders, whereas invasion impact was better explained by invader-native relative fitness differences than niche differences. These findings highlight the utility of considering modern coexistence theory to gain a more mechanistic understanding of microbial invasions.
The original data used to make the figures in our paper, which include: (1) the phylogenetic distances (PD), niche differences (ND), and relative fitness differences (RFD) of the 24 pairwise invader-native combinations, (2) the mean PD, mean ND, mean RFD, invasion establishment, success, and impact for the 324 microcosms.
Bayesian phylogeny of the bacterial species used in this study. The phylogeny shows eight native bacterial species, three invaders, and three out-group species. The tree was constructed based on the 16s rRNA genes.
National Science Foundation, Award: DEB-1257858, DEB-1342754