Literature DB >> 16552555

Genomic regions involved in response to grain yield selection at high and low nitrogen fertilization in maize.

Marie Coque1, André Gallais.   

Abstract

In order to validate the role of genomic regions involved in nitrogen use efficiency and detected in a population of recombinant inbred lines (RIL), we have applied from the same population a recurrent selection for adaptation to low N-input (N0) and to high N-input (N1). Variation of allele frequency at neutral marker during the two cycles of recurrent selection may provide information about markers linked to QTLs. Significant temporal variation of allele frequency was investigated using the test of Waples, which tests the hypothesis of genetic drift versus selection. Most genomic regions (12/19) responding to selection were detected for selection at high N-input and only two were common to selection at high and low N-inputs. This was consistent with the greater grain yield response to selection observed for the population selected under high N-input compared with the population selected under low N-input, when they were evaluated at high N-fertilization. In contrast, when they were evaluated at low N-input both types of selection gave similar yield. As was expected, in the first cycle we observed selection of markers linked to grain yield QTLs. In the course of the second cycle three situations were observed: the confirmation of most regions already selected in C1 including all C1 regions overlapping with grain yield QTLs; the non-confirmation of some C1 regions (2/9); and the identification of new genomic zones (10/17). The detected marker-QTL associations revealed the consistency of the involvement of some traits, such as root architecture and glutamine synthetase activity, which would be of major importance for grain yield setting whatever the nitrogen fertilization.

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Year:  2006        PMID: 16552555     DOI: 10.1007/s00122-006-0222-5

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


  24 in total

1.  Leaf-specific overexpression of plastidic glutamine synthetase stimulates the growth of transgenic tobacco seedlings.

Authors:  A Migge; E Carrayol; B Hirel; T W Becker
Journal:  Planta       Date:  2000-01       Impact factor: 4.116

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.  Exploiting selective genotyping to study genetic diversity of resistance to Fusarium head blight in barley.

Authors:  W J Wingbermuehle; C Gustus; K P Smith
Journal:  Theor Appl Genet       Date:  2004-07-15       Impact factor: 5.699

4.  A general approach for the study of a population of testcross progenies and consequences for recurrent selection.

Authors:  A Gallais
Journal:  Theor Appl Genet       Date:  1991-04       Impact factor: 5.699

5.  Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects.

Authors:  A E Melchinger; H F Utz; C C Schön
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

6.  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

7.  A generalized approach for estimating effective population size from temporal changes in allele frequency.

Authors:  R S Waples
Journal:  Genetics       Date:  1989-02       Impact factor: 4.562

8.  The hitch-hiking effect of a favourable gene.

Authors:  J M Smith; J Haigh
Journal:  Genet Res       Date:  1974-02       Impact factor: 1.588

9.  Grain Protein Accumulation and the Relationship between Leaf Nitrate Reductase and Protease Activities during Grain Development in Maize (Zea mays L.): I. VARIATION BETWEEN GENOTYPES.

Authors:  A J Reed; F E Below; R H Hageman
Journal:  Plant Physiol       Date:  1980-07       Impact factor: 8.340

10.  Effectiveness of selective genotyping for detection of quantitative trait loci: an analysis of grain and malt quality traits in three barley populations.

Authors:  M Ayoub; D E Mather
Journal:  Genome       Date:  2002-12       Impact factor: 2.166

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  23 in total

1.  Detection of marker-QTL associations by studying change in marker frequencies with selection.

Authors:  A Gallais; L Moreau; A Charcosset
Journal:  Theor Appl Genet       Date:  2006-12-13       Impact factor: 5.699

2.  Temporal changes in allele frequencies in two European F(2) flint maize populations under modified recurrent full-sib selection.

Authors:  K C Falke; C Flachenecker; A E Melchinger; H-P Piepho; H P Maurer; M Frisch
Journal:  Theor Appl Genet       Date:  2007-02-16       Impact factor: 5.699

3.  Three EST-SSR markers associated with QTL for the growth of the clam Meretrix meretrix revealed by selective genotyping.

Authors:  Xia Lu; Hongxia Wang; Baozhong Liu; Jianhai Xiang
Journal:  Mar Biotechnol (NY)       Date:  2012-04-27       Impact factor: 3.619

4.  Linkage disequilibrium in two European F(2) flint maize populations under modified recurrent full-sib selection.

Authors:  K C Falke; H P Maurer; A E Melchinger; H- P Piepho; C Flachenecker; M Frisch
Journal:  Theor Appl Genet       Date:  2007-04-28       Impact factor: 5.699

5.  Selection mapping of loci for quantitative disease resistance in a diverse maize population.

Authors:  Randall J Wisser; Seth C Murray; Judith M Kolkman; Hernán Ceballos; Rebecca J Nelson
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

6.  Quantitative trait loci and crop performance under abiotic stress: where do we stand?

Authors:  Nicholas C Collins; François Tardieu; Roberto Tuberosa
Journal:  Plant Physiol       Date:  2008-06       Impact factor: 8.340

7.  Nitrogen stress-induced alterations in the leaf proteome of two wheat varieties grown at different nitrogen levels.

Authors:  Ruby Chandna; Altaf Ahmad
Journal:  Physiol Mol Biol Plants       Date:  2015-01-06

8.  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

9.  Genetic variation for N-remobilization and postsilking N-uptake in a set of maize recombinant inbred lines. 3. QTL detection and coincidences.

Authors:  M Coque; A Martin; J B Veyrieras; B Hirel; A Gallais
Journal:  Theor Appl Genet       Date:  2008-06-20       Impact factor: 5.699

10.  Fine-mapping of qRL6.1, a major QTL for root length of rice seedlings grown under a wide range of NH4(+) concentrations in hydroponic conditions.

Authors:  Mitsuhiro Obara; Wataru Tamura; Takeshi Ebitani; Masahiro Yano; Tadashi Sato; Tomoyuki Yamaya
Journal:  Theor Appl Genet       Date:  2010-08       Impact factor: 5.699

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