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Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization

Targeted capture and enrichment approaches have proven effective for phylogenetic study. Ultraconserved elements (UCEs) in particular have exhibited great utility for phylogenomic analyses, with the software package phyluce being among the most utilized pipelines for UCE phylogenomics, including pro...

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Autores principales: Gustafson, Grey T., Alexander, Alana, Sproul, John S., Pflug, James M., Maddison, David R., Short, Andrew E. Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617817/
https://www.ncbi.nlm.nih.gov/pubmed/31312430
http://dx.doi.org/10.1002/ece3.5260
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author Gustafson, Grey T.
Alexander, Alana
Sproul, John S.
Pflug, James M.
Maddison, David R.
Short, Andrew E. Z.
author_facet Gustafson, Grey T.
Alexander, Alana
Sproul, John S.
Pflug, James M.
Maddison, David R.
Short, Andrew E. Z.
author_sort Gustafson, Grey T.
collection PubMed
description Targeted capture and enrichment approaches have proven effective for phylogenetic study. Ultraconserved elements (UCEs) in particular have exhibited great utility for phylogenomic analyses, with the software package phyluce being among the most utilized pipelines for UCE phylogenomics, including probe design. Despite the success of UCEs, it is becoming increasing apparent that diverse lineages require probe sets tailored to focal taxa in order to improve locus recovery. However, factors affecting probe design and methods for optimizing probe sets to focal taxa remain underexplored. Here, we use newly available beetle (Coleoptera) genomic resources to investigate factors affecting UCE probe set design using phyluce. In particular, we explore the effects of stringency during initial design steps, as well as base genome choice on resulting probe sets and locus recovery. We found that both base genome choice and initial bait design stringency parameters greatly alter the number of resultant probes included in final probe sets and strongly affect the number of loci detected and recovered during in silico testing of these probe sets. In addition, we identify attributes of base genomes that correlated with high performance in probe design. Ultimately, we provide a recommended workflow for using phyluce to design an optimized UCE probe set that will work across a targeted lineage, and use our findings to develop a new, open‐source UCE probe set for beetles of the suborder Adephaga.
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spelling pubmed-66178172019-07-16 Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization Gustafson, Grey T. Alexander, Alana Sproul, John S. Pflug, James M. Maddison, David R. Short, Andrew E. Z. Ecol Evol Original Research Targeted capture and enrichment approaches have proven effective for phylogenetic study. Ultraconserved elements (UCEs) in particular have exhibited great utility for phylogenomic analyses, with the software package phyluce being among the most utilized pipelines for UCE phylogenomics, including probe design. Despite the success of UCEs, it is becoming increasing apparent that diverse lineages require probe sets tailored to focal taxa in order to improve locus recovery. However, factors affecting probe design and methods for optimizing probe sets to focal taxa remain underexplored. Here, we use newly available beetle (Coleoptera) genomic resources to investigate factors affecting UCE probe set design using phyluce. In particular, we explore the effects of stringency during initial design steps, as well as base genome choice on resulting probe sets and locus recovery. We found that both base genome choice and initial bait design stringency parameters greatly alter the number of resultant probes included in final probe sets and strongly affect the number of loci detected and recovered during in silico testing of these probe sets. In addition, we identify attributes of base genomes that correlated with high performance in probe design. Ultimately, we provide a recommended workflow for using phyluce to design an optimized UCE probe set that will work across a targeted lineage, and use our findings to develop a new, open‐source UCE probe set for beetles of the suborder Adephaga. John Wiley and Sons Inc. 2019-06-11 /pmc/articles/PMC6617817/ /pubmed/31312430 http://dx.doi.org/10.1002/ece3.5260 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Gustafson, Grey T.
Alexander, Alana
Sproul, John S.
Pflug, James M.
Maddison, David R.
Short, Andrew E. Z.
Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization
title Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization
title_full Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization
title_fullStr Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization
title_full_unstemmed Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization
title_short Ultraconserved element (UCE) probe set design: Base genome and initial design parameters critical for optimization
title_sort ultraconserved element (uce) probe set design: base genome and initial design parameters critical for optimization
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617817/
https://www.ncbi.nlm.nih.gov/pubmed/31312430
http://dx.doi.org/10.1002/ece3.5260
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