Genetic diversity,structure and fruit trait associations in Greek sweet cherry cultivars using microsatellite based (SSR/ISSR) and morpho-physiological markers |
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| Authors: | Ioannis V Ganopoulos Konstantinos Kazantzis Ioannis Chatzicharisis Irene Karayiannis Athanasios S Tsaftaris |
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| Institution: | (1) Department of Genetics and Plant Breeding, Aristotle University of Thessaloniki, 540 06 Thessaloniki, Greece;(2) Institute of Agrobiotechnology (IN.A.), Center for Research and Technology Hellas (CERTH), 570 01 Thermi, Thessaloniki, Greece;(3) Pomology Institute, NAGREF, R. S. Naousas 38, 592 00 Imathia, Greece; |
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| Abstract: | It is important to couple phenotypic analysis with genetic diversity for germplasm conservation in gene bank collections.
The use of molecular markers supports the study of genetic marker-trait associations of biological and agronomic interest
on diverse genetic material. In this report, 19 Greek traditional sweet cherry cultivars and two international cultivars,
which were used as controls, were grown in Greece and characterized for 17 morpho-physiological traits, 15 simple sequence
repeat (SSR) loci and 10 inter simple sequence repeat (ISSR) markers. To our knowledge, this is the first report on molecular
genetic diversity studies in sweet cherry in Greece. Principal component analysis (PCA) of nine qualitative and eight quantitative
morphological parameters explain over 77.33% of total variability in the first five axes. The SSR markers yielded a combined
matching probability ratio (MPR) of 9.569 × e−12. The 15 SSR loci produced a total of 92 alleles. Ten ISSR primers generated
91 bands, with an average of 9.1 bands per primer. Expected heterozygosity (gene diversity) values of 15 SSR loci and 10 ISSR
markers averaged at 0.683 and 0.369, respectively. Based on stepwise multiple regression analysis (MRA), SSR alleles were
found associated with harvest time and fruit polar diameter. Furthermore, three ISSR markers were correlated with fruit harvest
and soluble solids and four ISSR markers were correlated with fruit skin color. Stepwise MRA identified six SSR alleles associated
with harvest time with a high correlation (P < 0.001), with linear associations with high F values. Hence, data analyzed by the use of MRA could be useful in marker-assisted breeding programs when no other genetic
information is available. |
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