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Structural pattern and genetic diversity in blueberry (Vaccinium) clones and cultivars using EST-PCR and microsatellite markers

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Abstract

The blueberry (Vaccinium L. section Cyanococcus Rydb.) is a health promoting and economically important small fruit crop. Structured genetic diversity and relatedness were studied in 63 blueberry wild clones and cultivars , using eleven EST-PCR and nine microsatellite markers. Markers were found to be polymorphic and detected 249 alleles with mean polymorphic information content of 0.80 for EST-PCR; and 164 alleles with mean polymorphic information content of 0.77 for microsatellite markers. The average resolving power was 4.6 for EST-PCR and 2.6 for microsatellite markers. The average values of expected and observed heterozygosity, inbreeding coefficient and Shannon’s index were higher for the EST-PCR markers than those of microsatellites. Multivariate clustering analyses using neighbor joining and principal coordinate analyses formed five groups and clustered the genotypes according to their place of origin that were also confirmed by STRUCTURE analysis and analysis of molecular variance. While 33% of variation was found among the geographic groups, the variation among the communities within the groups was 23% and among genotypes within the communities was 44%, in combined analysis. The availability of high genetic diversity among the wild clones will contribute significantly in germplasm management and their utilization in the current blueberry improvement program.

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Acknowledgements

The authors like to thank Darryl Martin, Glenn Chubbs, Sarah Leonard, Juran Goyali and Amrita Ghosh for their excellent technical help.

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Correspondence to Samir C. Debnath.

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Supplementary Fig. 1

Neighbor joining (NJ) dendrogram of 63 blueberry genotypes based on the proportion of shared alleles distance for EST-PCR markers. Numbers refer to branch lengths (TIFF 379 kb)

Supplementary Fig 2

Neighbor joining (NJ) dendrogram of 63 blueberry genotypes based on the proportion of shared allele distance for microsatellite markers. Numbers refer to branch lengths (TIFF 404 kb)

Supplementary Fig. 3

Principle co-ordinate analysis of 63 blueberry genotypes using EST-PCR marker (TIFF 140 kb)

Supplementary Fig. 4

Principle co-ordinate analysis of 63 blueberry genotypes using microsatellite marker (TIFF 148 kb)

Supplementary Fig. 5

Q-plot showing Bayesian clustering of 63 genotypes, for K=6, based on analysis of EST-PCR using STRUCTURE software. Each genotype is represented by a vertical bar. The colored subsections within each vertical bar indicate membership coefficient (Q) of the accession to different clusters. Identified clusters are I, II, III, IV, V and VI (TIFF 409 kb)

Supplementary Fig. 6

Q-plot showing Bayesian clustering of 63 genotypes, for K=6, based on analysis of microsatellite using STRUCTURE software. Each genotype is represented by a vertical bar. The colored subsections within each vertical bar indicate membership coefficient (Q) of the accession to different clusters. Identified clusters are I, II, III, IV, V and VI (TIFF 325 kb)

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Tailor, S., Bykova, N.V., Igamberdiev, A.U. et al. Structural pattern and genetic diversity in blueberry (Vaccinium) clones and cultivars using EST-PCR and microsatellite markers. Genet Resour Crop Evol 64, 2071–2082 (2017). https://doi.org/10.1007/s10722-017-0497-1

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  • DOI: https://doi.org/10.1007/s10722-017-0497-1

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