title: Assessment of genetic diversity, population structure and relationships in Indian and non-Indian genotypes of finger millet (Eleusine coracana (L.) Gaertn) using genomic SSR markers.
abstract: We evaluated the genetic variation and population structure in Indian and non-Indian genotypes of finger millet using 87 genomic SSR primers. The 128 finger millet genotypes were collected and genomic DNA was isolated. Eighty-seven genomic SSR primers with 60-70 % GC contents were used for PCR analysis of 128 finger millet genotypes. The PCR products were separated and visualized on a 6 % polyacrylamide gel followed by silver staining. The data were used to estimate major allele frequency using Power Marker v3.0. Dendrograms were constructed based on the Jaccard's similarity coefficient. Statistical fitness and population structure analyses were performed to find the genetic diversity. The mean major allele frequency was 0.92; the means of polymorphic alleles were 2.13 per primer and 1.45 per genotype; the average polymorphism was 59.94 % per primer and average PIC value was 0.44 per primer. Indian genotypes produced an additional 0.21 allele than non-Indian genotypes. Gene diversity was in the range from 0.02 to 0.35. The average heterozygosity was 0.11, close to 100 % homozygosity. The highest inbreeding coefficient was observed with SSR marker UGEP67. The Jaccard's similarity coefficient value ranged from 0.011 to 0.836. The highest similarity value was 0.836 between genotypes DPI009-04 and GPU-45. Indian genotypes were placed in Eleusine coracana major cluster (EcMC) 1 along with 6 non-Indian genotypes. AMOVA showed that molecular variance in genotypes from various geographical regions was 4 %; among populations it was 3 % and within populations it was 93 %. PCA scatter plot analysis showed that GPU-28, GPU-45 and DPI009-04 were closely dispersed in first component axis. In structural analysis, the genotypes were divided into three subpopulations (SP1, SP2 and SP3). All the three subpopulations had an admixture of alleles and no pure line was observed. These analyses confirmed that all the genotypes were genetically diverse and had been grouped based on their geographic regions.
authors.affiliation: Division of Plant Biotechnology, Entomology Research Institute, Loyola College, Chennai, 600 034 India.
authors.forename: M
authors.initials: M
authors.lastname: Ramakrishnan
authors.affiliation: Division of Plant Biotechnology, Entomology Research Institute, Loyola College, Chennai, 600 034 India ; Faculty of Biological Sciences, Centre for Plant Sciences and School of Molecular and Cellular Biology, University of Leeds, Leeds, LS2 9JT UK.
authors.forename: S
authors.initials: S
authors.lastname: Antony Ceasar
authors.affiliation: Division of Plant Biotechnology, Entomology Research Institute, Loyola College, Chennai, 600 034 India ; Department of Botany and Microbiology, Addiriyah Chair for Environmental Studies, College of Science, King Saud University, P.O.Box. 2455, Riyadh, 11451 Kingdom of Saudi Arabia.
authors.forename: V
authors.initials: V
authors.lastname: Duraipandiyan
authors.affiliation: Department of Botany and Microbiology, Addiriyah Chair for Environmental Studies, College of Science, King Saud University, P.O.Box. 2455, Riyadh, 11451 Kingdom of Saudi Arabia.
authors.forename: N A
authors.initials: NA
authors.lastname: Al-Dhabi
authors.affiliation: Division of Plant Biotechnology, Entomology Research Institute, Loyola College, Chennai, 600 034 India ; Visiting Professor Program, Deanship of Scientific Research, College of Science, King Saud University, P.O.Box. 2455, Riyadh, 11451 Kingdom of Saudi Arabia.
authors.forename: S
authors.initials: S
authors.lastname: Ignacimuthu
keywords: AMOVA; Baysian statistics; Finger millet; Genetic diversity; PCA; Population structure