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    SuperCRUNCH: A bioinformatics toolkit for creating and manipulating supermatrices and other large phylogenetic datasets

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    SuperCRUNCH_Accepted.pdf
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    Final Accepted Manuscript
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    Author
    Portik, Daniel M. cc
    Wiens, John J.
    Affiliation
    Univ Arizona, Dept Ecol & Evolutionary Biol
    Issue Date
    2020-04-11
    Keywords
    bioinformatics
    GenBank
    genomics
    multiple sequence alignment
    phylogenetics
    phylogeography
    similarity filtering
    supermatrix
    
    Metadata
    Show full item record
    Publisher
    WILEY
    Citation
    Portik DM, Wiens JJ. SuperCRUNCH: A bioinformatics toolkit for creating and manipulating supermatrices and other large phylogenetic datasets. Methods Ecol Evol. 2020;11:763–772.
    Journal
    METHODS IN ECOLOGY AND EVOLUTION
    Rights
    Copyright © 2020 British Ecological Society.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Phylogenies with extensive taxon sampling have become indispensable for many types of ecological and evolutionary studies. Many large-scale trees are based on a 'supermatrix' approach, which involves amalgamating thousands of published sequences for a group. Constructing up-to-date supermatrices can be challenging, especially as new sequences may become available almost constantly. Additionally, genomic datasets (composed of thousands of loci) are becoming common in phylogenetics and phylogeography, and present novel challenges for constructing such datasets. Here we present SuperCRUNCH, a Python toolkit for assembling large phylogenetic datasets. It can be applied to GenBank sequences, unpublished sequences or combinations of GenBank and unpublished data. SuperCRUNCH constructs local databases and uses them to conduct rapid searches for user-specified sets of taxa and loci. Sequences are parsed into putative loci and passed through rigorous filtering steps. A post-filtering step allows for selection of one sequence per taxon (i.e. species-level supermatrix) or retention of all sequences per taxon (i.e. population-level dataset). Importantly, SuperCRUNCH can generate 'vouchered' population-level datasets, in which voucher information is used to generate multi-locus phylogeographic datasets. SuperCRUNCH offers many options for taxonomy resolution, similarity filtering, sequence selection, alignment and file manipulation. We demonstrate the range of features available in SuperCRUNCH by generating a variety of phylogenetic datasets. Output datasets include traditional species-level supermatrices, large-scale phylogenomic matrices and phylogeographic datasets. Finally, we briefly compare the ability of SuperCRUNCH to construct species-level supermatrices relative to alternative approaches. SuperCRUNCH generated a large-scale supermatrix (1,400 taxa and 66 loci) from 16 GB of GenBank data in ~1.5 hr, and generated population-level datasets (<350 samples, <10 loci) in <1 min. It outperformed alternative methods for supermatrix construction in terms of taxa, loci and sequences recovered. SuperCRUNCH is a modular bioinformatics toolkit that can be used to assemble datasets for any taxonomic group and scale (kingdoms to individuals). It allows rapid construction of supermatrices, greatly simplifying the process of updating large phylogenies with new data. It is also designed to produce population-level datasets. SuperCRUNCH streamlines the major tasks required to process phylogenetic data, including filtering, alignment, trimming and formatting. SuperCRUNCH is open-source, documented and available at https://github.com/dportik/SuperCRUNCH.
    Note
    12 month embargo; published online: 11 April 2020
    ISSN
    2041-210X
    DOI
    10.1111/2041-210x.13392
    Version
    Final accepted manuscript
    Additional Links
    https://github.com/dportik/SuperCRUNCH
    ae974a485f413a2113503eed53cd6c53
    10.1111/2041-210x.13392
    Scopus Count
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    UA Faculty Publications

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