Ignazio Carbone1, James B White1, Jolanta Miadlikowska2, A Elizabeth Arnold3,4, Mark A Miller5, Frank Kauff6, Jana M U'Ren3, Georgiana May7, François Lutzoni2. 1. Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695 USA. 2. Department of Biology, Duke University, Durham, NC 27708, USA. 3. School of Plant Sciences, The University of Arizona, Tucson, AZ 85721, USA. 4. Department of Ecology and Evolutionary Biology, The University of Arizona, Tucson, AZ 85721, USA. 5. San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA. 6. Department of Medicine, University of Giessen, Giessen, Germany. 7. Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN 55108, USA.
Abstract
Motivation: High-quality phylogenetic placement of sequence data has the potential to greatly accelerate studies of the diversity, systematics, ecology and functional biology of diverse groups. We developed the Tree-Based Alignment Selector (T-BAS) toolkit to allow evolutionary placement and visualization of diverse DNA sequences representing unknown taxa within a robust phylogenetic context, and to permit the downloading of highly curated, single- and multi-locus alignments for specific clades. Results: In its initial form, T-BAS v1.0 uses a core phylogeny of 979 taxa (including 23 outgroup taxa, as well as 61 orders, 175 families and 496 genera) representing all 13 classes of largest subphylum of Fungi-Pezizomycotina (Ascomycota)-based on sequence alignments for six loci (nr5.8S, nrLSU, nrSSU, mtSSU, RPB1, RPB2 ). T-BAS v1.0 has three main uses: (i) Users may download alignments and voucher tables for members of the Pezizomycotina directly from the reference tree, facilitating systematics studies of focal clades. (ii) Users may upload sequence files with reads representing unknown taxa and place these on the phylogeny using either BLAST or phylogeny-based approaches, and then use the displayed tree to select reference taxa to include when downloading alignments. The placement of unknowns can be performed for large numbers of Sanger sequences obtained from fungal cultures and for alignable, short reads of environmental amplicons. (iii) User-customizable metadata can be visualized on the tree. Availability and Implementation: T-BAS Version 1.0 is available online at http://tbas.hpc.ncsu.edu . Registration is required to access the CIPRES Science Gateway and NSF XSEDE's large computational resources. Contact: icarbon@ncsu.edu. Supplementary information: Supplementary data are available at Bioinformatics online.
Motivation: High-quality phylogenetic placement of sequence data has the potential to greatly accelerate studies of the diversity, systematics, ecology and functional biology of diverse groups. We developed the Tree-Based Alignment Selector (T-BAS) toolkit to allow evolutionary placement and visualization of diverse DNA sequences representing unknown taxa within a robust phylogenetic context, and to permit the downloading of highly curated, single- and multi-locus alignments for specific clades. Results: In its initial form, T-BAS v1.0 uses a core phylogeny of 979 taxa (including 23 outgroup taxa, as well as 61 orders, 175 families and 496 genera) representing all 13 classes of largest subphylum of Fungi-Pezizomycotina (Ascomycota)-based on sequence alignments for six loci (nr5.8S, nrLSU, nrSSU, mtSSU, RPB1, RPB2 ). T-BAS v1.0 has three main uses: (i) Users may download alignments and voucher tables for members of the Pezizomycotina directly from the reference tree, facilitating systematics studies of focal clades. (ii) Users may upload sequence files with reads representing unknown taxa and place these on the phylogeny using either BLAST or phylogeny-based approaches, and then use the displayed tree to select reference taxa to include when downloading alignments. The placement of unknowns can be performed for large numbers of Sanger sequences obtained from fungal cultures and for alignable, short reads of environmental amplicons. (iii) User-customizable metadata can be visualized on the tree. Availability and Implementation: T-BAS Version 1.0 is available online at http://tbas.hpc.ncsu.edu . Registration is required to access the CIPRES Science Gateway and NSF XSEDE's large computational resources. Contact: icarbon@ncsu.edu. Supplementary information: Supplementary data are available at Bioinformatics online.
Authors: Barnabas H Daru; Elizabeth A Bowman; Donald H Pfister; A Elizabeth Arnold Journal: Philos Trans R Soc Lond B Biol Sci Date: 2018-11-19 Impact factor: 6.237
Authors: Jana M U'Ren; François Lutzoni; Jolanta Miadlikowska; Naupaka B Zimmerman; Ignazio Carbone; Georgiana May; A Elizabeth Arnold Journal: Nat Ecol Evol Date: 2019-09-23 Impact factor: 15.460
Authors: Megan Cullen; Megan E Jacob; Vicki Cornish; Ian Q VanderSchel; Henry Van T Cotter; Marc A Cubeta; Ignazio Carbone; Brian C Gilger Journal: PLoS One Date: 2019-03-28 Impact factor: 3.240
Authors: David S Hibbett; Meredith Blackwell; Timothy Y James; Joseph W Spatafora; John W Taylor; Rytas Vilgalys Journal: IMA Fungus Date: 2018-09-12 Impact factor: 3.515
Authors: Mary H Lewis; Ignazio Carbone; Jane M Luis; Gary A Payne; Kira L Bowen; Austin K Hagan; Robert Kemerait; Ron Heiniger; Peter S Ojiambo Journal: Front Microbiol Date: 2019-07-31 Impact factor: 5.640