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Strategies for reducing per-sample costs in target capture sequencing for phylogenomics and population genomics in plants.
Hale, Haley; Gardner, Elliot M; Viruel, Juan; Pokorny, Lisa; Johnson, Matthew G.
Afiliação
  • Hale H; Department of Biological Sciences Texas Tech University Lubbock Texas 79409 USA.
  • Gardner EM; The Morton Arboretum Lisle Illinois 60532 USA.
  • Viruel J; Department of Biology Case Western Reserve University Cleveland Ohio 44106 USA.
  • Pokorny L; Singapore Botanic Gardens National Parks Board 1 Cluny Road 259569 Singapore.
  • Johnson MG; Royal Botanic Gardens Kew, Richmond Surrey TW9 3DS United Kingdom.
Appl Plant Sci ; 8(4): e11337, 2020 Apr.
Article em En | MEDLINE | ID: mdl-32351798
ABSTRACT
The reduced cost of high-throughput sequencing and the development of gene sets with wide phylogenetic applicability has led to the rise of sequence capture methods as a plausible platform for both phylogenomics and population genomics in plants. An important consideration in large targeted sequencing projects is the per-sample cost, which can be inflated when using off-the-shelf kits or reagents not purchased in bulk. Here, we discuss methods to reduce per-sample costs in high-throughput targeted sequencing projects. We review the minimal equipment and consumable requirements for targeted sequencing while comparing several alternatives to reduce bulk costs in DNA extraction, library preparation, target enrichment, and sequencing. We consider how each of the workflow alterations may be affected by DNA quality (e.g., fresh vs. herbarium tissue), genome size, and the phylogenetic scale of the project. We provide a cost calculator for researchers considering targeted sequencing to use when designing projects, and identify challenges for future development of low-cost sequencing in non-model plant systems.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Appl Plant Sci Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Appl Plant Sci Ano de publicação: 2020 Tipo de documento: Article