Literature DB >> 16909280

A simplified conceptual model of carbon/nitrogen functioning for QTL analysis of winter wheat adaptation to nitrogen deficiency.

A Laperche1, F Devienne-Barret, O Maury, J Le Gouis, B Ney.   

Abstract

Breeding new varieties adapted to low-input agricultural practices is of particular interest in light of current economical and environmental concerns. Improving nitrogen (N) uptake and N utilization efficiency (NUE) are two ways of producing varieties tolerant to low N input. To offer new possibilities to breeders, it is necessary to acquire more knowledge about these two processes. Knowing C and N metabolisms are linked and knowing N uptake is partly explained by root characteristics, we carried out a QTL analysis for traits associated with N uptake and NUE by using both a conceptual model of C/N plant functioning and a root architecture description. A total of 120 lines were selected according to their genotype among 241 doubled haploids derived from two varieties, one N stress tolerant and the other N stress sensitive. They were grown in hydroponic rhizotrons under N-limited nutritional conditions. Initial conditions varied among genotypes; therefore, total root length on day 1 was used to correct traits. Heritabilities ranged from 13 to 84%. Thirty-two QTL were located: 6 associated with root architecture (on chromosomes 4B, 5A, 5D and 7B), 6 associated with model efficiencies (1B, 2B, 6A, 6B, 7A, 7B and 7D) and 20 associated with state variables (1A, 1B, 2B, 4B, 5A, 5B and 6B). The effects of the dwarfing gene Rht-B1 on root traits are discussed, as well as the features of a conceptual plant functioning model, as a useful tool to assess pertinent traits for QTL detection. It is suggested that further studies that couple QTL with a functioning model and a root architecture description could serve in the search for ideotypes.

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Year:  2006        PMID: 16909280     DOI: 10.1007/s00122-006-0373-4

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  26 in total

1.  The role of ecophysiological models in QTL analysis: the example of specific leaf area in barley

Authors: 
Journal:  Heredity (Edinb)       Date:  1999-04       Impact factor: 3.821

2.  Selective mapping: a strategy for optimizing the construction of high-density linkage maps.

Authors:  T J Vision; D G Brown; D B Shmoys; R T Durrett; S D Tanksley
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

Review 3.  An approach to the genetics of nitrogen use efficiency in maize.

Authors:  A Gallais; B Hirel
Journal:  J Exp Bot       Date:  2004-02       Impact factor: 6.992

4.  Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust.

Authors:  M I Vales; C C Schön; F Capettini; X M Chen; A E Corey; D E Mather; C C Mundt; K L Richardson; J S Sandoval-Islas; H F Utz; P M Hayes
Journal:  Theor Appl Genet       Date:  2005-11-15       Impact factor: 5.699

5.  Towards a better understanding of the genetic and physiological basis for nitrogen use efficiency in maize.

Authors:  B Hirel; P Bertin; I Quilleré; W Bourdoncle; C Attagnant; C Dellay; A Gouy; S Cadiou; C Retailliau; M Falque; A Gallais
Journal:  Plant Physiol       Date:  2001-03       Impact factor: 8.340

6.  Identification of QTLs for root characteristics in maize grown in hydroponics and analysis of their overlap with QTLs for grain yield in the field at two water regimes.

Authors:  Roberto Tuberosa; Maria Corinna Sanguineti; Pierangelo Landi; Marcella Michela Giuliani; Silvio Salvi; Sergio Conti
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

7.  Quantitative trait loci analysis of growth response to varying nitrogen sources in Arabidopsis thaliana.

Authors:  L. Rauh; C. Basten; S. Buckler
Journal:  Theor Appl Genet       Date:  2002-03-13       Impact factor: 5.699

8.  Quantitative trait loci analysis of water and anion contents in interaction with nitrogen availability in Arabidopsis thaliana.

Authors:  Olivier Loudet; Sylvain Chaillou; Anne Krapp; Françoise Daniel-Vedele
Journal:  Genetics       Date:  2003-02       Impact factor: 4.562

9.  Quantitative trait loci analysis of nitrogen use efficiency in Arabidopsis.

Authors:  Olivier Loudet; Sylvain Chaillou; Patricia Merigout; Joël Talbotec; Françoise Daniel-Vedele
Journal:  Plant Physiol       Date:  2003-01       Impact factor: 8.340

10.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

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  33 in total

1.  QTL mapping for seedling traits in wheat grown under varying concentrations of N, P and K nutrients.

Authors:  Ying Guo; Fan-mei Kong; Yun-feng Xu; Yan Zhao; Xue Liang; Ying-ying Wang; Diao-guo An; Si-shen Li
Journal:  Theor Appl Genet       Date:  2011-11-17       Impact factor: 5.699

2.  Genomic associations for drought tolerance on the short arm of wheat chromosome 4B.

Authors:  Suhas Kadam; Kalpana Singh; Sanyukta Shukla; Sonia Goel; Prashant Vikram; Vasantrao Pawar; Kishor Gaikwad; Renu Khanna-Chopra; Nagendra Singh
Journal:  Funct Integr Genomics       Date:  2012-04-05       Impact factor: 3.410

3.  Using a model-based framework for analysing genetic diversity during germination and heterotrophic growth of Medicago truncatula.

Authors:  S Brunel; B Teulat-Merah; M-H Wagner; T Huguet; J M Prosperi; C Dürr
Journal:  Ann Bot       Date:  2009-02-27       Impact factor: 4.357

4.  Genetic dissection of nitrogen nutrition in pea through a QTL approach of root, nodule, and shoot variability.

Authors:  Virginie Bourion; Syed Masood Hasan Rizvi; Sarah Fournier; Henri de Larambergue; Fabien Galmiche; Pascal Marget; Gérard Duc; Judith Burstin
Journal:  Theor Appl Genet       Date:  2010-02-24       Impact factor: 5.699

5.  A multi-environmental study of recent breeding progress on nitrogen use efficiency in wheat (Triticum aestivum L.).

Authors:  Fabien Cormier; Sébastien Faure; Pierre Dubreuil; Emmanuel Heumez; Katia Beauchêne; Stéphane Lafarge; Sébastien Praud; Jacques Le Gouis
Journal:  Theor Appl Genet       Date:  2013-09-21       Impact factor: 5.699

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

Authors:  Delphine Moreau; Judith Burstin; Grégoire Aubert; Thierry Huguet; Cécile Ben; Jean-Marie Prosperi; Christophe Salon; Nathalie Munier-Jolain
Journal:  Theor Appl Genet       Date:  2011-11-24       Impact factor: 5.699

7.  Mapping QTLs for yield and nitrogen-related traits in wheat: influence of nitrogen and phosphorus fertilization on QTL expression.

Authors:  Yunfeng Xu; Ruifang Wang; Yiping Tong; Huatian Zhao; Qingen Xie; Dongcheng Liu; Aimin Zhang; Bin Li; Hongxing Xu; Diaoguo An
Journal:  Theor Appl Genet       Date:  2013-09-27       Impact factor: 5.699

8.  A quantitative genetic study for elucidating the contribution of glutamine synthetase, glutamate dehydrogenase and other nitrogen-related physiological traits to the agronomic performance of common wheat.

Authors:  Jean-Xavier Fontaine; Catherine Ravel; Karine Pageau; Emmanuel Heumez; Frédéric Dubois; Bertrand Hirel; Jacques Le Gouis
Journal:  Theor Appl Genet       Date:  2009-06-10       Impact factor: 5.699

9.  Developmental genes have pleiotropic effects on plant morphology and source capacity, eventually impacting on seed protein content and productivity in pea.

Authors:  Judith Burstin; Pascal Marget; Myriam Huart; Annie Moessner; Brigitte Mangin; Christiane Duchene; Bruno Desprez; Nathalie Munier-Jolain; Gérard Duc
Journal:  Plant Physiol       Date:  2007-04-20       Impact factor: 8.340

10.  The effects of dwarfing genes on seedling root growth of wheat.

Authors:  T Wojciechowski; M J Gooding; L Ramsay; P J Gregory
Journal:  J Exp Bot       Date:  2009-05-13       Impact factor: 6.992

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