Single Primer Enrichment Technology (SPET) for High-Throughput Genotyping in Tomato and Eggplant Germplasm.

SPET eggplant genotyping germplasm tomato

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2019
Historique:
received: 06 05 2019
accepted: 18 07 2019
entrez: 24 8 2019
pubmed: 24 8 2019
medline: 24 8 2019
Statut: epublish

Résumé

Single primer enrichment technology (SPET) is a new, robust, and customizable solution for targeted genotyping. Unlike genotyping by sequencing (GBS), and like DNA chips, SPET is a targeted genotyping technology, relying on the sequencing of a region flanking a primer. Its reliance on single primers, rather than on primer pairs, greatly simplifies panel design, and allows higher levels of multiplexing than PCR-based genotyping. Thanks to the sequencing of the regions surrounding the target SNP, SPET allows the discovery of thousands of closely linked, novel SNPs. In order to assess the potential of SPET for high-throughput genotyping in plants, a panel comprising 5k target SNPs, designed both on coding regions and introns/UTRs, was developed for tomato and eggplant. Genotyping of two panels composed of 400 tomato and 422 eggplant accessions, comprising both domesticated material and wild relatives, generated a total of 12,002 and 30,731 high confidence SNPs, respectively, which comprised both target and novel SNPs in an approximate ratio of 1:1.6, and 1:5.5 in tomato and eggplant, respectively. The vast majority of the markers was transferrable to related species that diverged up to 3.4 million years ago (

Identifiants

pubmed: 31440267
doi: 10.3389/fpls.2019.01005
pmc: PMC6693525
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1005

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Auteurs

Lorenzo Barchi (L)

DISAFA, University of Turin, Turin, Italy.

Alberto Acquadro (A)

DISAFA, University of Turin, Turin, Italy.

David Alonso (D)

COMAV, Universitat Politècnica de Valencia, Valencia, Spain.

Giuseppe Aprea (G)

ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.

Laura Bassolino (L)

CREA-GB, Research Centre for Genomics and Bioinformatics, Montanaso Lombardo, Italy.

Olivia Demurtas (O)

ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.

Paola Ferrante (P)

ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.

Pietro Gramazio (P)

COMAV, Universitat Politècnica de Valencia, Valencia, Spain.

Paola Mini (P)

ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.

Ezio Portis (E)

DISAFA, University of Turin, Turin, Italy.

Davide Scaglione (D)

IGA Technology Services Srl, Udine, Italy.

Laura Toppino (L)

CREA-GB, Research Centre for Genomics and Bioinformatics, Montanaso Lombardo, Italy.

Santiago Vilanova (S)

COMAV, Universitat Politècnica de Valencia, Valencia, Spain.

María José Díez (MJ)

COMAV, Universitat Politècnica de Valencia, Valencia, Spain.

Giuseppe Leonardo Rotino (GL)

CREA-GB, Research Centre for Genomics and Bioinformatics, Montanaso Lombardo, Italy.

Sergio Lanteri (S)

DISAFA, University of Turin, Turin, Italy.

Jaime Prohens (J)

COMAV, Universitat Politècnica de Valencia, Valencia, Spain.

Giovanni Giuliano (G)

ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.

Classifications MeSH