Articles
USE OF MICROSATELLITE MARKERS TO CHARACTERIZE GENETIC DIVERSITY OF SELECTED ACCESSIONS OF GUAVA (PSIDIUM GUAJAVA) IN THE UNITED STATES
Article number
859_20
Pages
169 – 176
Language
English
Abstract
Guava (Psidium guajava L., Myrtaceae family) is one of the most nutritious fruits and has gained nutraceutical importance in recent years.
In this study, microsatellite markers were used to characterize the diversity of guava germplasm in the United States.
Seven PCR primers amplifying fourteen previously developed microsatellite loci were used to identify and characterize 13 guava accessions.
Microsatellite alleles were detected using WellRED fluorescent-labeled primers and capillary electrophoresis.
Data were analyzed using the CEQ 8000 Fragment Analysis software and allele frequencies were calculated as co-dominant markers using POPGENE software.
Genetic relationships between individuals were analyzed using Neis index of genetic distance.
All primers successfully generated amplicons.
Allelic variation was observed in each of the cultivars irrespective of geographic origin.
A total of seven alleles were detected ranging from a minimum of two (mPgCIR01 and mPgCIR07) to a maximum of seven (mPgCIR16 and mPgCIR21). Expected heterozygosity values for individual loci ranged from 0.14 to 0.80 with an average of 0.61. This study indicated that microsatellite markers could serve as a useful tool in the characterization of genetic diversity, which is essential for the selection of parents for guava improvement programs.
In this study, microsatellite markers were used to characterize the diversity of guava germplasm in the United States.
Seven PCR primers amplifying fourteen previously developed microsatellite loci were used to identify and characterize 13 guava accessions.
Microsatellite alleles were detected using WellRED fluorescent-labeled primers and capillary electrophoresis.
Data were analyzed using the CEQ 8000 Fragment Analysis software and allele frequencies were calculated as co-dominant markers using POPGENE software.
Genetic relationships between individuals were analyzed using Neis index of genetic distance.
All primers successfully generated amplicons.
Allelic variation was observed in each of the cultivars irrespective of geographic origin.
A total of seven alleles were detected ranging from a minimum of two (mPgCIR01 and mPgCIR07) to a maximum of seven (mPgCIR16 and mPgCIR21). Expected heterozygosity values for individual loci ranged from 0.14 to 0.80 with an average of 0.61. This study indicated that microsatellite markers could serve as a useful tool in the characterization of genetic diversity, which is essential for the selection of parents for guava improvement programs.
Authors
G. Viji, D.L. Harris, A.K. Yadav, F.T. Zee
Keywords
cultivar identification, fingerprinting, molecular markers, simple sequence repeat, genetic variation
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