3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture.
Proc Natl Acad Sci U S A
; 110(18): E1695-704, 2013 Apr 30.
Article
en En
| MEDLINE
| ID: mdl-23580618
ABSTRACT
Identification of genes that control root system architecture in crop plants requires innovations that enable high-throughput and accurate measurements of root system architecture through time. We demonstrate the ability of a semiautomated 3D in vivo imaging and digital phenotyping pipeline to interrogate the quantitative genetic basis of root system growth in a rice biparental mapping population, Bala × Azucena. We phenotyped >1,400 3D root models and >57,000 2D images for a suite of 25 traits that quantified the distribution, shape, extent of exploration, and the intrinsic size of root networks at days 12, 14, and 16 of growth in a gellan gum medium. From these data we identified 89 quantitative trait loci, some of which correspond to those found previously in soil-grown plants, and provide evidence for genetic tradeoffs in root growth allocations, such as between the extent and thoroughness of exploration. We also developed a multivariate method for generating and mapping central root architecture phenotypes and used it to identify five major quantitative trait loci (r(2) = 24-37%), two of which were not identified by our univariate analysis. Our imaging and analytical platform provides a means to identify genes with high potential for improving root traits and agronomic qualities of crops.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Oryza
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Mapeo Cromosómico
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Raíces de Plantas
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Genoma de Planta
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Imagenología Tridimensional
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Sitios de Carácter Cuantitativo
Tipo de estudio:
Prognostic_studies
Idioma:
En
Año:
2013
Tipo del documento:
Article