Bibliographic Details
| Title: |
Using a physiological framework for improving the detection of quantitative trait loci related to nitrogen nutrition in Medicago truncatula. |
| Authors: |
Moreau, Delphine delphine.moreau@dijon.inra.fr, Burstin, Judith1, Aubert, Grégoire1, Huguet, Thierry2, Ben, Cécile, Prosperi, Jean-Marie3, Salon, Christophe1, Munier-Jolain, Nathalie1 |
| Source: |
Theoretical & Applied Genetics. Mar2012, Vol. 124 Issue 4, p755-768. 14p. |
| Subjects: |
Quantitative research, Legumes, Plant nutrition, Effect of nitrogen on plants, Crop physiology, Plant growth, Plant biomass, Plant genetics |
| Abstract: |
Medicago truncatula is used as a model plant for exploring the genetic and molecular determinants of nitrogen (N) nutrition in legumes. In this study, our aim was to detect quantitative trait loci (QTL) controlling plant N nutrition using a simple framework of carbon/N plant functioning stemming from crop physiology. This framework was based on efficiency variables which delineated the plant's efficiency to take up and process carbon and N resources. A recombinant inbred line population (LR4) was grown in a glasshouse experiment under two contrasting nitrate concentrations. At low nitrate, symbiotic N fixation was the main N source for plant growth and a QTL with a large effect located on linkage group (LG) 8 affected all the traits. Significantly, efficiency variables were necessary both to precisely localize a second QTL on LG5 and to detect a third QTL involved in epistatic interactions on LG2. At high nitrate, nitrate assimilation was the main N source and a larger number of QTL with weaker effects were identified compared to low nitrate. Only two QTL were common to both nitrate treatments: a QTL of belowground biomass located at the bottom of LG3 and another one on LG6 related to three different variables (leaf area, specific N uptake and aboveground:belowground biomass ratio). Possible functions of several candidate genes underlying QTL of efficiency variables could be proposed. Altogether, our results provided new insights into the genetic control of N nutrition in M. truncatula. For instance, a novel result for M. truncatula was identification of two epistatic interactions in controlling plant N fixation. As such this study showed the value of a simple conceptual framework based on efficiency variables for studying genetic determinants of complex traits and particularly epistatic interactions. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |