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Development and preliminary evaluation of a 90 K Axiom® SNP array for the allo-octoploid cultivated strawberry Fragaria × ananassa.

Bassil NV, Davis TM, Zhang H, Ficklin S, Mittmann M, Webster T, Mahoney L, Wood D, Alperin ES, Rosyara UR, Koehorst-Vanc Putten H, Monfort A, Sargent DJ, Amaya I, Denoyes B, Bianco L, van Dijk T, Pirani A, Iezzoni A, Main D, Peace C, Yang Y, Whitaker V, Verma S, Bellon L, Brew F, Herrera R, van de Weg E - BMC Genomics (2015)

Bottom Line: Strategies and filtering pipelines were developed to identify and incorporate markers of several types: di-allelic SNPs (66.6%), multi-allelic SNPs (1.8%), indels (10.1%), and ploidy-reducing "haploSNPs" (11.7%).The array's high success rate is likely driven by the presence of naturally occurring variation in ploidy level within the nominally octoploid genome, and by effectiveness of the employed array design and ploidy-reducing strategies.This array enables genetic analyses including generation of high-density linkage maps, identification of quantitative trait loci for economically important traits, and genome-wide association studies, thus providing a basis for marker-assisted breeding in this high value crop.

View Article: PubMed Central - PubMed

Affiliation: USDA-ARS, NCGR, Corvallis, OR, USA. nahla.bassil@ars.usda.gov.

ABSTRACT

Background: A high-throughput genotyping platform is needed to enable marker-assisted breeding in the allo-octoploid cultivated strawberry Fragaria × ananassa. Short-read sequences from one diploid and 19 octoploid accessions were aligned to the diploid Fragaria vesca 'Hawaii 4' reference genome to identify single nucleotide polymorphisms (SNPs) and indels for incorporation into a 90 K Affymetrix® Axiom® array. We report the development and preliminary evaluation of this array.

Results: About 36 million sequence variants were identified in a 19 member, octoploid germplasm panel. Strategies and filtering pipelines were developed to identify and incorporate markers of several types: di-allelic SNPs (66.6%), multi-allelic SNPs (1.8%), indels (10.1%), and ploidy-reducing "haploSNPs" (11.7%). The remaining SNPs included those discovered in the diploid progenitor F. iinumae (3.9%), and speculative "codon-based" SNPs (5.9%). In genotyping 306 octoploid accessions, SNPs were assigned to six classes with Affymetrix's "SNPolisher" R package. The highest quality classes, PolyHigh Resolution (PHR), No Minor Homozygote (NMH), and Off-Target Variant (OTV) comprised 25%, 38%, and 1% of array markers, respectively. These markers were suitable for genetic studies as demonstrated in the full-sib family 'Holiday' × 'Korona' with the generation of a genetic linkage map consisting of 6,594 PHR SNPs evenly distributed across 28 chromosomes with an average density of approximately one marker per 0.5 cM, thus exceeding our goal of one marker per cM.

Conclusions: The Affymetrix IStraw90 Axiom array is the first high-throughput genotyping platform for cultivated strawberry and is commercially available to the worldwide scientific community. The array's high success rate is likely driven by the presence of naturally occurring variation in ploidy level within the nominally octoploid genome, and by effectiveness of the employed array design and ploidy-reducing strategies. This array enables genetic analyses including generation of high-density linkage maps, identification of quantitative trait loci for economically important traits, and genome-wide association studies, thus providing a basis for marker-assisted breeding in this high value crop.

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Related in: MedlinePlus

Proportion of diploid- and polyploid-clustering SNPs in the SNP categories designed from the octoploid GDP. Marker categories include di-allelic SNPs, multi-allelic SNPs (mSNPs), indels, and the three haploSNP categories of SNP-SNP, Indel-SNP, and SNP-in-Insertion.
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Fig8: Proportion of diploid- and polyploid-clustering SNPs in the SNP categories designed from the octoploid GDP. Marker categories include di-allelic SNPs, multi-allelic SNPs (mSNPs), indels, and the three haploSNP categories of SNP-SNP, Indel-SNP, and SNP-in-Insertion.

Mentions: The HomRO parameter indicated that, in the di-allelic SNPs, 30% of the 12,609 filtered PHR SNPs generated diploid-like clusters while 70% had polyploid-like clusters (Figure 8, Additional file 10). In the mSNPs, indels and haploSNPs, 56-87% of the SNPs generated diploid-like clusters while 13-44% had polyploid-like clusters (Additional file 10). SNP-SNPs generated the largest proportion of diploid-like clusters at 87% (Additional file 10). The contrasting diploid-like clustering percentages for di-allelic SNPs versus the SNP-SNPs clearly indicates that the intended ploidy reduction effect was achieved by the haploSNP strategy.Figure 8


Development and preliminary evaluation of a 90 K Axiom® SNP array for the allo-octoploid cultivated strawberry Fragaria × ananassa.

Bassil NV, Davis TM, Zhang H, Ficklin S, Mittmann M, Webster T, Mahoney L, Wood D, Alperin ES, Rosyara UR, Koehorst-Vanc Putten H, Monfort A, Sargent DJ, Amaya I, Denoyes B, Bianco L, van Dijk T, Pirani A, Iezzoni A, Main D, Peace C, Yang Y, Whitaker V, Verma S, Bellon L, Brew F, Herrera R, van de Weg E - BMC Genomics (2015)

Proportion of diploid- and polyploid-clustering SNPs in the SNP categories designed from the octoploid GDP. Marker categories include di-allelic SNPs, multi-allelic SNPs (mSNPs), indels, and the three haploSNP categories of SNP-SNP, Indel-SNP, and SNP-in-Insertion.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4374422&req=5

Fig8: Proportion of diploid- and polyploid-clustering SNPs in the SNP categories designed from the octoploid GDP. Marker categories include di-allelic SNPs, multi-allelic SNPs (mSNPs), indels, and the three haploSNP categories of SNP-SNP, Indel-SNP, and SNP-in-Insertion.
Mentions: The HomRO parameter indicated that, in the di-allelic SNPs, 30% of the 12,609 filtered PHR SNPs generated diploid-like clusters while 70% had polyploid-like clusters (Figure 8, Additional file 10). In the mSNPs, indels and haploSNPs, 56-87% of the SNPs generated diploid-like clusters while 13-44% had polyploid-like clusters (Additional file 10). SNP-SNPs generated the largest proportion of diploid-like clusters at 87% (Additional file 10). The contrasting diploid-like clustering percentages for di-allelic SNPs versus the SNP-SNPs clearly indicates that the intended ploidy reduction effect was achieved by the haploSNP strategy.Figure 8

Bottom Line: Strategies and filtering pipelines were developed to identify and incorporate markers of several types: di-allelic SNPs (66.6%), multi-allelic SNPs (1.8%), indels (10.1%), and ploidy-reducing "haploSNPs" (11.7%).The array's high success rate is likely driven by the presence of naturally occurring variation in ploidy level within the nominally octoploid genome, and by effectiveness of the employed array design and ploidy-reducing strategies.This array enables genetic analyses including generation of high-density linkage maps, identification of quantitative trait loci for economically important traits, and genome-wide association studies, thus providing a basis for marker-assisted breeding in this high value crop.

View Article: PubMed Central - PubMed

Affiliation: USDA-ARS, NCGR, Corvallis, OR, USA. nahla.bassil@ars.usda.gov.

ABSTRACT

Background: A high-throughput genotyping platform is needed to enable marker-assisted breeding in the allo-octoploid cultivated strawberry Fragaria × ananassa. Short-read sequences from one diploid and 19 octoploid accessions were aligned to the diploid Fragaria vesca 'Hawaii 4' reference genome to identify single nucleotide polymorphisms (SNPs) and indels for incorporation into a 90 K Affymetrix® Axiom® array. We report the development and preliminary evaluation of this array.

Results: About 36 million sequence variants were identified in a 19 member, octoploid germplasm panel. Strategies and filtering pipelines were developed to identify and incorporate markers of several types: di-allelic SNPs (66.6%), multi-allelic SNPs (1.8%), indels (10.1%), and ploidy-reducing "haploSNPs" (11.7%). The remaining SNPs included those discovered in the diploid progenitor F. iinumae (3.9%), and speculative "codon-based" SNPs (5.9%). In genotyping 306 octoploid accessions, SNPs were assigned to six classes with Affymetrix's "SNPolisher" R package. The highest quality classes, PolyHigh Resolution (PHR), No Minor Homozygote (NMH), and Off-Target Variant (OTV) comprised 25%, 38%, and 1% of array markers, respectively. These markers were suitable for genetic studies as demonstrated in the full-sib family 'Holiday' × 'Korona' with the generation of a genetic linkage map consisting of 6,594 PHR SNPs evenly distributed across 28 chromosomes with an average density of approximately one marker per 0.5 cM, thus exceeding our goal of one marker per cM.

Conclusions: The Affymetrix IStraw90 Axiom array is the first high-throughput genotyping platform for cultivated strawberry and is commercially available to the worldwide scientific community. The array's high success rate is likely driven by the presence of naturally occurring variation in ploidy level within the nominally octoploid genome, and by effectiveness of the employed array design and ploidy-reducing strategies. This array enables genetic analyses including generation of high-density linkage maps, identification of quantitative trait loci for economically important traits, and genome-wide association studies, thus providing a basis for marker-assisted breeding in this high value crop.

Show MeSH
Related in: MedlinePlus