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New Phytol ; 196(3): 713-725, 2012 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-22861491

RESUMEN

• Plant population genomics informs evolutionary biology, breeding, conservation and bioenergy feedstock development. For example, the detection of reliable phenotype-genotype associations and molecular signatures of selection requires a detailed knowledge about genome-wide patterns of allele frequency variation, linkage disequilibrium and recombination. • We resequenced 16 genomes of the model tree Populus trichocarpa and genotyped 120 trees from 10 subpopulations using 29,213 single-nucleotide polymorphisms. • Significant geographic differentiation was present at multiple spatial scales, and range-wide latitudinal allele frequency gradients were strikingly common across the genome. The decay of linkage disequilibrium with physical distance was slower than expected from previous studies in Populus, with r(2) dropping below 0.2 within 3-6 kb. Consistent with this, estimates of recent effective population size from linkage disequilibrium (N(e) ≈ 4000-6000) were remarkably low relative to the large census sizes of P. trichocarpa stands. Fine-scale rates of recombination varied widely across the genome, but were largely predictable on the basis of DNA sequence and methylation features. • Our results suggest that genetic drift has played a significant role in the recent evolutionary history of P. trichocarpa. Most importantly, the extensive linkage disequilibrium detected suggests that genome-wide association studies and genomic selection in undomesticated populations may be more feasible in Populus than previously assumed.


Asunto(s)
Genoma de Planta , Genómica/métodos , Desequilibrio de Ligamiento , Populus/genética , Metilación de ADN , ADN de Plantas/genética , Evolución Molecular , Frecuencia de los Genes , Estudios de Asociación Genética/métodos , Flujo Genético , Técnicas de Genotipaje , Geografía , Polimorfismo de Nucleótido Simple , Análisis de Componente Principal , Recombinación Genética , Selección Genética , Sensibilidad y Especificidad , Análisis de Secuencia de ADN/métodos
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