Literature DB >> 19513687

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.

Jean-Xavier Fontaine1, Catherine Ravel, Karine Pageau, Emmanuel Heumez, Frédéric Dubois, Bertrand Hirel, Jacques Le Gouis.   

Abstract

To better understand the genetic variability for nitrogen use efficiency in winter wheat is a necessity in the frame of the present economic and ecological context. The objective of this work was to investigate the role of the enzymes glutamine synthetase (GS) and glutamate dehydrogenase (GDH), and other nitrogen (N)-related physiological traits in the control of agronomic performance in wheat. A quantitative genetics approach was developed using the Arche x Récital population of doubled haploid lines grown for 3 years in the field. GS and GDH activities, ammonium, amino acid and protein contents were measured at different stages of plant development in different organs after flowering. Significant genotypic effects were observed for all measured physiological and agronomical traits. Heading date was negatively correlated with ammonium, amino acid, protein contents and GS activity in the flag leaf lamina. Grain protein content was positively correlated with both ammonium and amino acid content, and to a lesser extent with soluble protein content and GS activity. A total of 148 quantitative trait loci (QTLs) were detected, 104 QTLs for physiological traits and 44 QTLs for agronomic traits. Twenty-six QTLs were detected for GDH activity spread over 13 chromosomes and 25 QTLs for GS activity spread over 12 chromosomes. We found only a co-localization between a QTL for GS activity and GSe, a structural gene encoding cytosolic GS on chromosome 4B. A coincidence between a QTL for GDH activity and a gene encoding GDH was also found on chromosome 2B. QTL regions combining both physiological and agronomical QTLs were mainly identified on linkage groups 2A, 2B, 2D, 5A, 5B and 5D. This approach allowed us to propose possible functions of physiological traits to explain the variation observed for agronomic traits including yield and its components.

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Year:  2009        PMID: 19513687     DOI: 10.1007/s00122-009-1076-4

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


  46 in total

1.  The Staden package, 1998.

Authors:  R Staden; K F Beal; J K Bonfield
Journal:  Methods Mol Biol       Date:  2000

Review 2.  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

3.  Most significant genome regions involved in the control of earliness traits in bread wheat, as revealed by QTL meta-analysis.

Authors:  E Hanocq; A Laperche; O Jaminon; A-L Lainé; J Le Gouis
Journal:  Theor Appl Genet       Date:  2006-12-15       Impact factor: 5.699

4.  Combined agronomic and physiological aspects of nitrogen management in wheat highlight a central role for glutamine synthetase.

Authors:  Thomas Kichey; Emmanuel Heumez; Delphine Pocholle; Karine Pageau; Hélène Vanacker; Frédéric Dubois; Jacques Le Gouis; Bertrand Hirel
Journal:  New Phytol       Date:  2006       Impact factor: 10.151

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

Review 6.  The role of glutamine synthetase and glutamate dehydrogenase in nitrogen assimilation and possibilities for improvement in the nitrogen utilization of crops.

Authors:  Ben J Miflin; Dimah Z Habash
Journal:  J Exp Bot       Date:  2002-04       Impact factor: 6.992

7.  Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes.

Authors:  Sa Quarrie; S Pekic Quarrie; R Radosevic; D Rancic; A Kaminska; J D Barnes; M Leverington; C Ceoloni; D Dodig
Journal:  J Exp Bot       Date:  2006-07-10       Impact factor: 6.992

8.  Changes in the cellular and subcellular localization of glutamine synthetase and glutamate dehydrogenase during flag leaf senescence in wheat (Triticum aestivum L.).

Authors:  Thomas Kichey; Jacques Le Gouis; Brigitte Sangwan; Bertrand Hirel; Frédéric Dubois
Journal:  Plant Cell Physiol       Date:  2005-04-19       Impact factor: 4.927

9.  Microsatellite-based deletion bin system for the establishment of genetic-physical map relationships in wheat (Triticum aestivum L.).

Authors:  Pierre Sourdille; Sukhwinder Singh; Thierry Cadalen; Gina L Brown-Guedira; Georges Gay; Lili Qi; Bikram S Gill; Philippe Dufour; Alain Murigneux; Michel Bernard
Journal:  Funct Integr Genomics       Date:  2004-02-13       Impact factor: 3.410

10.  Identification and characterization of a QTL on chromosome 2 for cytosolic glutamine synthetase content and panicle number in rice.

Authors:  Mitsuhiro Obara; Tadashi Sato; Shohei Sasaki; Kenji Kashiba; Atsushi Nagano; Ikuo Nakamura; Takeshi Ebitani; Masahiro Yano; Tomoyuki Yamaya
Journal:  Theor Appl Genet       Date:  2004-11-10       Impact factor: 5.699

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  29 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

Review 2.  Nitrogen uptake, assimilation and remobilization in plants: challenges for sustainable and productive agriculture.

Authors:  Céline Masclaux-Daubresse; Françoise Daniel-Vedele; Julie Dechorgnat; Fabien Chardon; Laure Gaufichon; Akira Suzuki
Journal:  Ann Bot       Date:  2010-03-18       Impact factor: 4.357

3.  The glutamine synthetase (GS2) genes in relation to grain protein content of durum wheat.

Authors:  Agata Gadaleta; Domenica Nigro; Angelica Giancaspro; Antonio Blanco
Journal:  Funct Integr Genomics       Date:  2011-07-14       Impact factor: 3.410

Review 4.  Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat.

Authors:  Ravi Valluru; Matthew P Reynolds; Jerome Salse
Journal:  Theor Appl Genet       Date:  2014-06-10       Impact factor: 5.699

5.  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

6.  A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.).

Authors:  Fabien Cormier; Jacques Le Gouis; Pierre Dubreuil; Stéphane Lafarge; Sébastien Praud
Journal:  Theor Appl Genet       Date:  2014-10-19       Impact factor: 5.699

Review 7.  Biochemical and Genetic Approaches Improving Nitrogen Use Efficiency in Cereal Crops: A Review.

Authors:  Nitika Sandhu; Mehak Sethi; Aman Kumar; Devpriya Dang; Jasneet Singh; Parveen Chhuneja
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

8.  Genomic regions associated with the nitrogen limitation response revealed in a global wheat core collection.

Authors:  Jacques Bordes; C Ravel; J P Jaubertie; B Duperrier; O Gardet; E Heumez; A L Pissavy; G Charmet; J Le Gouis; F Balfourier
Journal:  Theor Appl Genet       Date:  2012-11-29       Impact factor: 5.699

9.  Flag leaf size and posture of bread wheat: genetic dissection, QTL validation and their relationships with yield-related traits.

Authors:  Jian Ma; Yang Tu; Jing Zhu; Wei Luo; Hang Liu; Cong Li; Shuiqin Li; Jiajun Liu; Puyang Ding; Ahsan Habib; Yang Mu; Huaping Tang; Yaxi Liu; Qiantao Jiang; Guoyue Chen; Jirui Wang; Wei Li; Zhien Pu; Youliang Zheng; Yuming Wei; Houyang Kang; Guangdeng Chen; Xiujin Lan
Journal:  Theor Appl Genet       Date:  2019-10-18       Impact factor: 5.699

10.  Association genetics of the parameters related to nitrogen use efficiency in Brassica juncea L.

Authors:  Neha Gupta; Mehak Gupta; Javed Akhatar; Anna Goyal; Rimaljeet Kaur; Sanjula Sharma; Prinka Goyal; Archana Mukta; Navneet Kaur; Meenakshi Mittal; Mohini Prabha Singh; Baudh Bharti; V K Sardana; Surinder S Banga
Journal:  Plant Mol Biol       Date:  2020-09-30       Impact factor: 4.076

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