Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 351236
Title Progress in the genetic understanding of plant iron and zinc nutrition
Author(s) Ghandilyan, A.; Vreugdenhil, D.; Aarts, M.G.M.
Source Physiologia Plantarum 126 (2006)3. - ISSN 0031-9317 - p. 407 - 417.
DOI http://dx.doi.org/10.1111/j.1399-3054.2006.00646.x
Department(s) Laboratory of Genetics
Laboratory of Plant Physiology
EPS-3
Publication type Refereed Article in a scientific journal
Publication year 2006
Keyword(s) quantitative trait loci - triticum-aestivum l. - grain quality traits - staple food crops - arabidopsis-thaliana - nicotianamine synthase - metal transporters - phytosiderophore transporter - constitutive expression - natural variation
Abstract In this review, we describe the need and progress to improve the iron and zinc contents in crop plants by genetic means. To achieve this goal either by transgenic approaches or classical breeding, knowledge about the physiological and molecular mechanisms of mineral uptake and mineral homeostasis will be very helpful. The progress in our understanding of the molecular processes and genes is described, and the use of the identified genes by transgenic approaches is illustrated. Genetic mapping of the existing variation will allow marker-assisted breeding to exploit the available natural variation in crop plants. For this application, ultimately the knowledge of the genes underlying this quantitative variation, called quantitative trait loci (QTL), will be required. It is expected that research in this field in the model species Arabidopsis thaliana, where the molecular tools are available, might help in the identification of the allelic variation at QTL
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