Literature DB >> 29398845

Genetic diversity of cucumber estimated by morpho-physiological and EST-SSR markers.

Sudhakar Pandey1, Waquar Akhter Ansari1, Maneesh Pandey1, Bijendra Singh1.   

Abstract

In the present study, genetic variation among 40 cucumber genotypes was analyzed by means of morpho-physiological traits and 21 EST-SSR markers. Diversity was observed for morpho-physiological characters like days to 50% female flowering (37-46.9, number of fruits/plant (1.33-5.80), average fruit weight (41-333), vine length (36-364), relative water content (58.5-92.7), electrolyte leakage (15.9-37.1), photosynthetic efficiency (0.40-0.75) and chlorophyll concentration index (11.1-28.6). The pair wise Jaccard similarity coefficient ranged from 0.00 to 0.27 for quantitative traits and 0.24 to 0.96 for EST-SSR markers indicating that the accessions represent genetically diverse populations. With twenty-one EST-SSR markers, polymorphism revealed among 40 cucumber genotypes, number of alleles varied 2-6 with an average 3.05. Polymorphism information content varied from 0.002 to 0.989 (mean = 0.308). The number of effective allele (Ne), expected heterozygosity (He) and unbiased expected heterozygosity (uHe) of these EST-SSRs were 1.079-1.753, 0.074-0.428 and 0.074-0.434, respectively. Same 21 EST-SSR markers transferability checked in four other Cucumis species: snapmelon (Cucumis melo var. momordica), muskmelon (Cucumis melo L.), pickling melon (Cucumis melo var. conomon) and wild muskmelon (Cucumis melo var. agrestis) with frequency of 61.9, 95.2, 76.2, and 76.2%, respectively. Present study provides useful information on variability, which can assist geneticists with desirable traits for cucumber germplasm utilization. Observed physiological parameters may assists in selection of genotype for abiotic stress tolerance also, EST-SSR markers may be useful for genetic studies in related species.

Entities:  

Keywords:  Cucumis sativus; EST-SSR; Genetic relationship; Morpho-physiological markers; Transferability

Year:  2017        PMID: 29398845      PMCID: PMC5787120          DOI: 10.1007/s12298-017-0489-9

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


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