Theoretical and Applied Genetics

, Volume 124, Issue 4, pp 755–768 | Cite as

Using a physiological framework for improving the detection of quantitative trait loci related to nitrogen nutrition in Medicago truncatula

  • Delphine Moreau
  • Judith Burstin
  • Grégoire Aubert
  • Thierry Huguet
  • Cécile Ben
  • Jean-Marie Prosperi
  • Christophe Salon
  • Nathalie Munier-Jolain
Original Paper

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 N2 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 N2 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.

Abbreviations

ABR

Aboveground:belowground biomass ratio

LG

Linkage group

N

Nitrogen

NLA

N into leaf area conversion efficiency

QTL

Quantitative trait loci

RIL

Recombinant inbred line

RUE

Radiation use efficiency

SNU

Specific N uptake

Notes

Acknowledgments

We thank P. Mathey, C. Jeudy, V. Durey, A. Larmure, A.L. Santoni, V. Pellissier, F. Strbik, H. Busset, F. Monraisin and S. Brunel-Muguet for their excellent technical assistance, S. Jasson, B. Mangin, A. Bordat and V. Savois for their help in QTL detection, B. Julier and B. Teulat-Merah for useful discussions about QTL analysis. We also thank R. Thompson for critical reading of the manuscript and its improvement. This work was supported by the European Project Grain Legumes (FP6-20 02-FOOD-1-506223), UNIP (Union Nationale Interprofessionnelle des plantes riches en Protéines) and the Regional Council of Burgundy (France).

Supplementary material

122_2011_1744_MOESM1_ESM.doc (86 kb)
Supplementary material 1 (DOC 86 kb)

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Delphine Moreau
    • 1
    • 2
  • Judith Burstin
    • 1
  • Grégoire Aubert
    • 1
  • Thierry Huguet
    • 3
  • Cécile Ben
    • 4
    • 5
  • Jean-Marie Prosperi
    • 6
  • Christophe Salon
    • 1
  • Nathalie Munier-Jolain
    • 1
  1. 1.INRA, UMR 102 Génétique et Ecophysiologie des LégumineusesDijon cedexFrance
  2. 2.INRA, UMR 1210 Biologie et Gestion des AdventicesDijon cedexFrance
  3. 3.INP-ENSAT, Laboratoire Symbioses et Pathologies des PlantesCastanet TolosanFrance
  4. 4.Université de Toulouse, INP, UPS, UMR 5245 EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), ENSATCastanet TolosanFrance
  5. 5.CNRS, EcoLabCastanet TolosanFrance
  6. 6.INRA, IRD, Montpellier SupAgroUniversité de Montpellier 2MauguioFrance

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