Development of a highly efficient Axiom™ 70 K SNP array for Pyrus and evaluation for high-density mapping and germplasm characterization.


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
02 May 2019
Historique:
received: 10 10 2018
accepted: 17 04 2019
entrez: 4 5 2019
pubmed: 3 5 2019
medline: 7 9 2019
Statut: epublish

Résumé

Both a source of diversity and the development of genomic tools, such as reference genomes and molecular markers, are equally important to enable faster progress in plant breeding. Pear (Pyrus spp.) lags far behind other fruit and nut crops in terms of employment of available genetic resources for new cultivar development. To address this gap, we designed a high-density, high-efficiency and robust single nucleotide polymorphism (SNP) array for pear, with the main objectives of conducting genetic diversity and genome-wide association studies. By applying a two-step design process, which consisted of the construction of a first 'draft' array for the screening of a small subset of samples, we were able to identify the most robust and informative SNPs to include in the Applied Biosystems™ Axiom™ Pear 70 K Genotyping Array, currently the densest SNP array for pear. Preliminary evaluation of this 70 K array in 1416 diverse pear accessions from the USDA National Clonal Germplasm Repository (NCGR) in Corvallis, OR identified 66,616 SNPs (93% of all the tiled SNPs) as high quality and polymorphic (PolyHighResolution). We further used the Axiom Pear 70 K Genotyping Array to construct high-density linkage maps in a bi-parental population, and to make a direct comparison with available genotyping-by-sequencing (GBS) data, which suggested that the SNP array is a more robust method of screening for SNPs than restriction enzyme reduced representation sequence-based genotyping. The Axiom Pear 70 K Genotyping Array, with its high efficiency in a widely diverse panel of Pyrus species and cultivars, represents a valuable resource for a multitude of molecular studies in pear. The characterization of the USDA-NCGR collection with this array will provide important information for pear geneticists and breeders, as well as for the optimization of conservation strategies for Pyrus.

Sections du résumé

BACKGROUND BACKGROUND
Both a source of diversity and the development of genomic tools, such as reference genomes and molecular markers, are equally important to enable faster progress in plant breeding. Pear (Pyrus spp.) lags far behind other fruit and nut crops in terms of employment of available genetic resources for new cultivar development. To address this gap, we designed a high-density, high-efficiency and robust single nucleotide polymorphism (SNP) array for pear, with the main objectives of conducting genetic diversity and genome-wide association studies.
RESULTS RESULTS
By applying a two-step design process, which consisted of the construction of a first 'draft' array for the screening of a small subset of samples, we were able to identify the most robust and informative SNPs to include in the Applied Biosystems™ Axiom™ Pear 70 K Genotyping Array, currently the densest SNP array for pear. Preliminary evaluation of this 70 K array in 1416 diverse pear accessions from the USDA National Clonal Germplasm Repository (NCGR) in Corvallis, OR identified 66,616 SNPs (93% of all the tiled SNPs) as high quality and polymorphic (PolyHighResolution). We further used the Axiom Pear 70 K Genotyping Array to construct high-density linkage maps in a bi-parental population, and to make a direct comparison with available genotyping-by-sequencing (GBS) data, which suggested that the SNP array is a more robust method of screening for SNPs than restriction enzyme reduced representation sequence-based genotyping.
CONCLUSIONS CONCLUSIONS
The Axiom Pear 70 K Genotyping Array, with its high efficiency in a widely diverse panel of Pyrus species and cultivars, represents a valuable resource for a multitude of molecular studies in pear. The characterization of the USDA-NCGR collection with this array will provide important information for pear geneticists and breeders, as well as for the optimization of conservation strategies for Pyrus.

Identifiants

pubmed: 31046664
doi: 10.1186/s12864-019-5712-3
pii: 10.1186/s12864-019-5712-3
pmc: PMC6498479
doi:

Substances chimiques

Genetic Markers 0

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

331

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Auteurs

Sara Montanari (S)

Department of Plant Sciences, University of California, Davis, CA, USA. smontanari@ucdavis.edu.

Luca Bianco (L)

Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.

Brian J Allen (BJ)

Department of Plant Sciences, University of California, Davis, CA, USA.

Pedro J Martínez-García (PJ)

Department of Plant Sciences, University of California, Davis, CA, USA.

Nahla V Bassil (NV)

USDA Agricultural Research Service, National Clonal Germplasm Repository, Corvallis, OR, USA.

Joseph Postman (J)

USDA Agricultural Research Service, National Clonal Germplasm Repository, Corvallis, OR, USA.

Mareike Knäbel (M)

Palmerston North Research Centre, The New Zealand Institute for Plant & Food Research Limited (PFR), Palmerston North, New Zealand.

Biff Kitson (B)

Motueka Research Centre, The New Zealand Institute for Plant & Food Research Limited (PFR), Motueka, New Zealand.

Cecilia H Deng (CH)

Auckland Research Centre, The New Zealand Institute for Plant & Food Research Limited (PFR), Auckland, New Zealand.

David Chagné (D)

Palmerston North Research Centre, The New Zealand Institute for Plant & Food Research Limited (PFR), Palmerston North, New Zealand.

Marc W Crepeau (MW)

Department of Evolution and Ecology, University of California, Davis, CA, USA.

Charles H Langley (CH)

Department of Evolution and Ecology, University of California, Davis, CA, USA.

Kate Evans (K)

Tree Fruit Research and Extension Center, Washington State University, Wenatchee, WA, USA.

Amit Dhingra (A)

Department of Horticulture, Washington State University, Pullman, WA, USA.

Michela Troggio (M)

Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.

David B Neale (DB)

Department of Plant Sciences, University of California, Davis, CA, USA.

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Classifications MeSH