Search bioRxivSearch

Biology subjects

Bastkowski, S.

Publications and source records attributed to Bastkowski, S..

2 recordsLinked to original sources

SPECTRE: a Suite of PhylogEnetiC Tools for Reticulate Evolution

SummarySplit-networks are a generalization of phylogenetic trees that have proven to be a powerful tool in phylogenetics. Various ways have been developed for computing such networks, including split-decomposition, NeighborNet, QNet and FlatNJ. Some of these approaches are implemented in the user-friendly SplitsTree software package. However, to give the user the option to adjust and extend these approaches and to facilitate their integration into analysis pipelines, there is a need for robust, open-source implementations of associated data structures and algorithms. Here we present SPECTRE, a readily available, open-source library of data structures written in Java, that comes complete with new implementations of several pre-published algorithms and a basic interactive graphical interface for visualizing planar split networks. SPECTRE also supports the use of longer running algorithms by providing command line interfaces, which can be executed on servers or in High Performance Computing (HPC) environments.\n\nAvailabilityFull source code is available under the GPLv3 license at: https://github.com/maplesond/SPECTRE\n\nSPECTREs core library is available from Maven Central at: https://mvnrepository.com/artifactuk.ac.uea.cmp.spectre/core\n\nDocumentation is available at: http://spectre-suite-of-phylogenetic-tools-for-reticulate-evolution.readthedocs.io/en/latest/\n\nContactsarah.bastkowski@earlham.ac.uk\n\nSupplementary Information (SI)Supplementary information is available at Bioinformatics online.

bioinformatics

The most efficient microbial community dominates during community coalescence

Microbial communities commonly coalesce in nature, but the consequences for resultant community structure and function is unclear. Consistent with recent theory, we demonstrate using methanogenic communities that the most productive communities in isolation dominated when communities were mixed. As a corollary of this dynamic, total methane production increased with the number of inoculated communities. The cohesion and dominance of single communities was explained by more \"niche-packed\" communities being both more efficient at exploiting resources and resistant to invasion, rather than a function of the average performance of component species. These results are likely to be relevant to the ecological dynamics of natural microbial communities, as well as demonstrating a simple method to predictably enhance microbial community function in biotechnology, health and agriculture.

microbiology