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      Association Analysis of SSR Markers with Phenology, Grain, and Stover-Yield Related Traits in Pearl Millet ( Pennisetum glaucum (L.) R. Br.)

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          Abstract

          Pearl millet is a staple food crop for millions of people living in the arid and semi-arid tropics. Molecular markers have been used to identify genomic regions linked to traits of interest by conventional QTL mapping and association analysis. Phenotypic recurrent selection is known to increase frequencies of favorable alleles and decrease those unfavorable for the traits under selection. This study was undertaken (i) to quantify the response to recurrent selection for phenotypic traits during breeding of the pearl millet open-pollinated cultivar “CO (Cu) 9” and its four immediate progenitor populations and (ii) to assess the ability of simple sequence repeat (SSR) marker alleles to identify genomic regions linked to grain and stover yield-related traits in these populations by association analysis. A total of 159 SSR alleles were detected across 34 selected single-copy SSR loci. SSR marker data revealed presence of subpopulations. Association analysis identified genomic regions associated with flowering time located on linkage group (LG) 6 and plant height on LG4, LG6, and LG7. Marker alleles on LG6 were associated with stover yield, and those on LG7 were associated with grain yield. Findings of this study would give an opportunity to develop marker-assisted recurrent selection (MARS) or marker-assisted population improvement (MAPI) strategies to increase the rate of gain for pearl millet populations undergoing recurrent selection.

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          Structure of linkage disequilibrium and phenotypic associations in the maize genome.

          Association studies based on linkage disequilibrium (LD) can provide high resolution for identifying genes that may contribute to phenotypic variation. We report patterns of local and genome-wide LD in 102 maize inbred lines representing much of the worldwide genetic diversity used in maize breeding, and address its implications for association studies in maize. In a survey of six genes, we found that intragenic LD generally declined rapidly with distance (r(2) < 0.1 within 1500 bp), but rates of decline were highly variable among genes. This rapid decline probably reflects large effective population sizes in maize during its evolution and high levels of recombination within genes. A set of 47 simple sequence repeat (SSR) loci showed stronger evidence of genome-wide LD than did single-nucleotide polymorphisms (SNPs) in candidate genes. LD was greatly reduced but not eliminated by grouping lines into three empirically determined subpopulations. SSR data also supplied evidence that divergent artificial selection on flowering time may have played a role in generating population structure. Provided the effects of population structure are effectively controlled, this research suggests that association studies show great promise for identifying the genetic basis of important traits in maize with very high resolution.
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            Plant molecular diversity and applications to genomics.

            Surveys of nucleotide diversity are beginning to show how genomes have been shaped by evolution. Nucleotide diversity is also being used to discover the function of genes through the mapping of quantitative trait loci (QTL) in structured populations, the positional cloning of strong QTL, and association mapping.
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              Genetic variation, population structure and linkage disequilibrium in peach commercial varieties

              Background Peach [Prunus persica (L.) Batsch] is one of the most economically important fruit crops that, due to its genetic and biological characteristics (small genome size, taxonomic proximity to other important species and short juvenile period), has become a model plant in genomic studies of fruit trees. Our aim was an in-depth study of the extent, distribution and structure of peach genetic variation in North American and European commercial varieties as well as old Spanish varieties and several founders used in the early USA peach breeding programmes. For this we genotyped 224 peach cultivars using 50 SSRs evenly distributed along the 8 linkage groups of the Prunus reference map. Results Genetic distance analysis based on SSRs divided the peach cultivars in three main groups based mainly on their fruit characteristics: melting flesh peaches, melting flesh nectarines and non-melting varieties. Whereas non-melting flesh peaches had a higher number of alleles than melting peaches and nectarines, they were more homozygous. With some exceptions ('Admiral Dewey', 'Early Crawford' and 'Chinese Cling'), the founder US cultivars clustered together with the commercial melting peaches, indicating that their germplasm is well represented in modern cultivars. Population structure analysis showed a similar subdivision of the sample into subpopulations. Linkage disequilibrium (LD) analysis in three unstructured, or barely structured, subpopulations revealed a high level of LD conservation in peach extending up to 13-15 cM. Conclusions Using a much larger set of SSRs, our results confirm previous observations on peach variability and population structure and provide additional tools for breeding and breeders' rights enforcement. SSR data are also used for the estimation of marker mutation rates and allow pedigree inferences, particularly with founder genotypes of the currently grown cultivars, which are useful to understand the evolution of peach as a crop. Results on LD conservation can be explained by the self-pollinating nature of peach cultivated germplasm and by a bottleneck that occurred at the beginning of modern breeding practices. High LD suggests that the development of whole-genome scanning approaches is suitable for genetic studies of agronomically important traits in peach.
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                Author and article information

                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                TSWJ
                The Scientific World Journal
                Hindawi Publishing Corporation
                1537-744X
                2014
                2 January 2014
                : 2014
                : 562327
                Affiliations
                1International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Andhra Pradesh 502324, India
                2Agronomy Department, University of Florida, P.O. Box 110300, Gainesville, FL 32611, USA
                3Directorate of Oilseeds Research, Rajendranagar, Hyderabad, Andhra Pradesh 500030, India
                4Department of Primary Industries, Tatura, VIC 3616, Australia
                5Tamil Nadu Agricultural University, Coimbatore, 641003 Tamil Nadu, India
                61-31 Agriculture Building, University of Missouri, Columbia, MO 65211, USA
                7International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), ICRISAT Sahelian Center, BP 12404, Niamey, Niger
                Author notes
                *Baskaran Kannan: kbaskaran@ 123456ufl.edu and
                *Charles Thomas Hash: c.hash@ 123456cgiar.org

                Academic Editors: A. C. Manna and M. Ota

                Author information
                http://orcid.org/0000-0003-3082-9963
                http://orcid.org/0000-0002-0717-405X
                Article
                10.1155/2014/562327
                3910278
                d9ed5211-2c85-447f-b5f9-47fea100f2ec
                Copyright © 2014 Baskaran Kannan et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 August 2013
                : 23 September 2013
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