Biology subjects

Schmidt-Lebuhn, A. N.

Publications and source records attributed to Schmidt-Lebuhn, A. N..

3 recordsLinked to original sources

bioRxiv2025

PhyloControl: a phylogeny visualisation platform for risk analysis in weed biological control

O_LIPhylogenetic distance is a key measure used to develop species lists for host specificity tests that delimit the fundamental and realised host range of candidate weed biocontrol agents to meet the assumptions of the centrifugal phylogenetic method. Plant pathogens and insects, even those with broad host ranges, exhibit some degree of phylogenetic conservatism in their host plant associations. Thorough host-specificity testing is crucial to minimise the risk of off-target damage by biocontrol agents to native and economically important plant species. To facilitate this, host test lists need to be developed from an understanding of evolutionary relationships, usually visualised as a phylogenetic tree generated from genetic data, together with plant functional traits and geospatial information. Currently, the process of obtaining a host test list is not standardised, and the manual steps are time-consuming and challenging. C_LIO_LIWe introduce a user-friendly visualisation tool called PhyloControl to aid researchers in their decision-making during biocontrol risk analysis. PhyloControl integrates taxonomic data, molecular data, spatial data, and plant traits in an intuitive interactive interface, empowering biocontrol practitioners to summarise, visualise and analyse data efficiently. C_LIO_LIComprehensively sampled phylogenetic trees are often unavailable, and older published phylogenies often lack branch resolution and support, which increases uncertainty. PhyloControl includes a workflow implemented through Quarto notebooks in R that allows users to download publicly available DNA sequences and perform phylogenetic analyses. The modular workflow also incorporates species distribution modelling to predict the current and potential extent of target weed species. C_LIO_LIPhyloControl will streamline the development of biocontrol host tests lists to support risk analysis and decision making in classical weed biological control. C_LI

plant biology↗

bioRxiv2021

hybpiper-rbgv and yang-and-smith-rbgv: Containerization and additional options for assembly and paralog detection in target enrichment data

PREMISEThe HybPiper pipeline has become one of the most widely used tools for the assembly of target enrichment (sequence capture) data for phylogenomic analysis. Between the production of locus sequences and phylogenetic analysis, the identification of paralogs is a critical step ensuring accurate inference of evolutionary relationships. Algorithmic approaches using gene tree topologies for the inference of ortholog groups are computationally efficient and broadly applicable to non-model organisms, especially in the absence of a known species tree. Unfortunately, software compatibility issues, unfamiliarity with relevant programming languages, and the complexity involved in running numerous subsequent analysis steps continue to limit the broad uptake of these approaches and constrain their application in practice. METHODS AND RESULTSWe updated the scripts constituting HybPiper and a pipeline for the inference of ortholog groups ("Yang and Smith") to provide novel options for the treatment of supercontigs, remove bugs, and seamlessly use the outputs of the former as inputs for the latter. The pipelines were containerised using Singularity and implemented via two Nextflow pipelines for easier deployment and to vastly reduce the number of commands required for their use. We tested the pipelines with several datasets, one of which is presented for demonstration. CONCLUSIONShybpiper-rbgv and yang-and-smith-rbgv provide easy installation, user-friendly experience, and robust results to the phylogenetic community. They are presently used as the analysis pipeline of the Australian Angiosperm Tree of Life project. The pipelines are available at https://github.com/chrisjackson-pellicle.

bioinformatics↗

bioRxiv2020

New targets acquired: improving locus recovery from the Angiosperms353 probe set

Universal target enrichment kits maximise utility across wide evolutionary breadth while minimising the number of baits required to create a cost-efficient kit. Locus assembly requires a target reference, but the taxonomic breadth of the kit means that target references files can be phylogenetically sparse. The Angiosperms353 kit has been successfully used to capture loci throughout angiosperms but includes sequence information from 6-18 taxa per locus. Consequently, reads sequenced from on-target DNA molecules may fail to map to references, resulting in fewer on-target reads for assembly, reducing locus recovery. We expanded the Angiosperms353 target file, incorporating sequences from 566 transcriptomes to produce a mega353 target file, with each gene represented by 17-373 taxa. This mega353 file is a drop-in replacement for the original Angiosperms353 file in HybPiper analyses. We provide tools to subsample the file based on user-selected taxon groups, and to incorporate other transcriptome or protein-coding gene datasets. Compared to the default Angiosperms353 file, the mega353 file increased the percentage of on-target reads by an average of 31%, increased loci recovery at 75% length by 61.9%, and increased the total length of the concatenated loci by 30%. The mega353 file and associated scripts are available at: https://github.com/chrisjackson-pellicle/NewTargets

bioinformatics↗