The coexistence of competing species is a long-lasting puzzle in evolutionary ecology research. Despite abundant experimental evidence showing that the opportunity for coexistence decreases as niche overlap increases between species, bacterial species and strains competing for the same resources are commonly found across diverse spatially heterogeneous habitats. We thus hypothesized that the spatial scale of competition may play a key role in determining bacterial coexistence, and interact with other mechanisms that promote coexistence, including a...

Additional file 1.

Additional file 2: Figure S1. A) The first two principal components (PC) from a PC analysis of genome-wide SNPs after removal of outliers (n=7). Isolates are color coded by the collection time point and wheat cultivar. B) SplitsTree phylogenetic network constructed from genome-wide single nucleotide polymorphism (SNP) data. Figure S2. Discriminant analysis of principal components (DAPC) results from the genome-wide SNP dataset. Cumulated variance explained by the eigenvalues of the PCs and scatter plot of...

Additional file 1.

The coexistence of competing species is a long-lasting puzzle in evolutionary ecology research. Despite abundant experimental evidence showing that the opportunity for coexistence decreases as niche overlap increases between species, bacterial species and strains competing for the same resources are commonly found across diverse spatially heterogeneous habitats. We thus hypothesized that the spatial scale of competition may play a key role in determining bacterial coexistence, and interact with other mechanisms that promote coexistence, including a...

Groundwater quality degradation is a well-recognized phenomenon and has received considerable attention since the industrial revolution. In spite of this, many aspects concerning the understanding and management of groundwater as a resource remain complex, and adequate information, in many cases, remains elusive. Strategies to protect and manage groundwater quality are often based on limited data and thus restricted system knowledge. As questions remain about the behaviour and prediction of well-known groundwater contaminants, new concerns around...

Additional file 2: Figure S1. A) The first two principal components (PC) from a PC analysis of genome-wide SNPs after removal of outliers (n=7). Isolates are color coded by the collection time point and wheat cultivar. B) SplitsTree phylogenetic network constructed from genome-wide single nucleotide polymorphism (SNP) data. Figure S2. Discriminant analysis of principal components (DAPC) results from the genome-wide SNP dataset. Cumulated variance explained by the eigenvalues of the PCs and scatter plot of...