Association Mapping in Plants - download pdf or read online

By Nnadozie C. Oraguzie, Erik H.A. Rikkerink, Susan E. Gardiner, H. Nihal de Silva

ISBN-10: 0387358447

ISBN-13: 9780387358444

ISBN-10: 0387360115

ISBN-13: 9780387360119

For the earlier decade, there was good fortune in utilizing traditional map-based suggestions in identity and cloning of quantitative trait loci (QTL) in version plant species together with tomato and Arabidopsis. those quantitative characteristics are as a rule the goods of many loci with various levels of influence upon the saw phenotypes. lately, a brand new method of genetic mapping has emerged referred to as organization mapping. This new strategy takes under consideration the hundreds of thousands of genes to judge for QTL influence and is a extra effective strategy that doesn't require new release of segregating populations/large numbers of progeny. because it can make the most of the entire ancient recombination occasions in a various inhabitants of people it may generate greater solution genetic maps and, is required to counterpoint present map established cloning equipment.

Association Mapping in Plants presents either uncomplicated and complicated knowing of organization mapping and an information of inhabitants genomics instruments to facilitate mapping and identity of the underlying reasons of quantitative trait edition in crops. It acts as an invaluable assessment of the marker expertise, the statistical technique, and the growth so far. It additionally bargains courses to using unmarried nucleotide polymorphisms (SNPs) in organization reports.

This e-book will entice all people with an curiosity in plant genetics, plant breeding, and plant genomics.

About the Editors:

Dr. Nnadozie C. Oraguzie is a Senior Scientist in Genetics on the Horticulture and nutrients study Institute of latest Zealand Ltd (HortResearch).

Dr. Erik H. A. Rikkerink is a technological know-how chief at HortResearch, New Zealand.

Dr. Susan E. Gardiner is a valuable Scientist and chief of the Gene Mapping learn workforce at HortResearch, New Zealand.

Dr. H. Nihal De Silva is a Senior Scientist of Biometrics at HortResearch, New Zealand.

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Example text

This may provide an explanation for the persistence of LD at sh1. Although LD decays rapidly in a gene after selection for a particular allele (Przeworski 2002), maize is believed to have arisen from a single domestication event in southern Mexico about 9,000 years ago (Matsuoka et al. 2002). Based on this supposition, an appreciable selective effect on LD may still remain. Another surprising aspect of this study was that a genome-wide sample of 47 simple sequence repeats (SSRs) demonstrated higher levels of LD than SNPs in candidate genes.

LD relies on segregating variation in natural populations. C. ORAGUZIE ET AL. , all those that have occurred in the history of the sample) than traditional mapping population. The extent of LD can vary across genomes and between species. Also, there is some indication of variation in genome-wide patterns of LD within a species, with some high LD regions interspersed with regions of low LD. Studies in model organisms such as Drosophila, maize and Arabidopsis, as well as humans, have informed plant geneticists of the potential complexity of phenomena that give rise to observed patterns of disequilibrium, including the heterogeneity of LD that can occur within species.

The authors examined haplotype patterns across 51 autosomal regions (spanning 13 Mb of the human genome) in samples from Africa, Europe and Asia and reported that the human genome can be parsed objectively into haplotype blocks; including sizable regions over which there is little evidence of historical recombination, and within which only a few common haplotypes are observed. The boundaries of blocks and specific haplotypes they contained were highly correlated across populations. The study demonstrated that such haplotype frameworks provide substantial statistical power in association studies of common genetic variation across each region and they highlight the need to develop this detail of data for other species such as plant species.

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Association Mapping in Plants by Nnadozie C. Oraguzie, Erik H.A. Rikkerink, Susan E. Gardiner, H. Nihal de Silva

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