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FrogCap: A modular sequence capture probe-set for phylogenomics and population genetics for all frogs, assessed across multiple phylogenetic scales.
Hutter, Carl R; Cobb, Kerry A; Portik, Daniel M; Travers, Scott L; Wood, Perry L; Brown, Rafe M.
Afiliación
  • Hutter CR; Biodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, USA.
  • Cobb KA; Biodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, USA.
  • Portik DM; California Academy of Sciences, San Francisco, California, USA.
  • Travers SL; Biodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, USA.
  • Wood PL; Department of Biological Sciences, Rutgers University-Newark, Newark, New Jersey, USA.
  • Brown RM; Biodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas, USA.
Mol Ecol Resour ; 22(3): 1100-1119, 2022 Apr.
Article en En | MEDLINE | ID: mdl-34569723
ABSTRACT
Despite the prevalence of high-throughput sequencing in phylogenetics, many relationships remain difficult to resolve because of conflicting signal among genomic regions. Selection of different types of molecular markers from different genomic regions is required to overcome these challenges. For evolutionary studies in frogs, we introduce the publicly available FrogCap suite of genomic resources, which is a large collection of ~15,000 markers that unifies previous genetic sequencing efforts. FrogCap is designed to be modular, such that subsets of markers and SNPs can be selected based on the desired phylogenetic scale. FrogCap uses a variety of marker types that include exons and introns, ultraconserved elements, and previously sequenced Sanger markers, which span up to 10,000 bp in alignment lengths; in addition, we demonstrate potential for SNP-based analyses. We tested FrogCap using 121 samples distributed across five phylogenetic scales, comparing probes designed using a consensus- or exemplar genome-based approach. Using the consensus design is more resilient to issues with sensitivity, specificity, and missing data than picking an exemplar genome sequence. We also tested the impact of different bait kit sizes (20,020 vs. 40,040) on depth of coverage and found triple the depth for the 20,020 bait  kit. We observed sequence capture success (i.e., missing data, sequenced markers/bases, marker length, and informative sites) across phylogenetic scales. The incorporation of different marker types is effective for deep phylogenetic relationships and shallow population genetics studies. Having demonstrated FrogCap's utility and modularity, we conclude that these new resources are efficacious for high-throughput sequencing projects across variable timescales.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anuros / Genética de Población Tipo de estudio: Risk_factors_studies Límite: Animals Idioma: En Revista: Mol Ecol Resour Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anuros / Genética de Población Tipo de estudio: Risk_factors_studies Límite: Animals Idioma: En Revista: Mol Ecol Resour Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos