Literature DB >> 12177407

An improved genetic model generates high-resolution mapping of QTL for protein quality in maize endosperm.

Rongling Wu1, Xiang-Yang Lou, Chang-Xing Ma, Xuelu Wang, Brian A Larkins, George Casella.   

Abstract

The genetic mapping of polymorphic markers in a cross between two inbred plant lines has proven to be a powerful method for detecting quantitative trait loci (QTL) underlying complex traits. However, existing methods of QTL mapping were developed for disomic inheritance of both marker and QTL loci in a diploid population. To map QTL influencing traits expressed in the endosperm, a triploid embryo-nourishing tissue resulting from double fertilization, existing QTL mapping models require modification to consider the trisomic inheritance of the endosperm and the generation difference between the mapping population and the endosperm. Such a model requires simultaneous use of two successive generations, which theoretically can lead to an increase in resolution for QTL mapping compared with the use of a single backcross or F(2) generation. Using a newly developed model based on these considerations, we demonstrate the improved resolution of QTL, influencing protein quality traits in maize endosperm. The increased resolution made possible with this approach makes identified QTL accessible to positional cloning.

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Year:  2002        PMID: 12177407      PMCID: PMC123248          DOI: 10.1073/pnas.112345699

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  13 in total

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Authors:  J L Jannink; R Jansen
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

2.  Gene interactions from maternal effects.

Authors:  J B Wolf
Journal:  Evolution       Date:  2000-12       Impact factor: 3.694

Review 3.  Control of early seed development.

Authors:  A M Chaudhury; A Koltunow; T Payne; M Luo; M R Tucker; E S Dennis; W J Peacock
Journal:  Annu Rev Cell Dev Biol       Date:  2001       Impact factor: 13.827

Review 4.  Plant-based raw material: improved food quality for better nutrition via plant genomics.

Authors:  I M van der Meer; A G Bovy; D Bosch
Journal:  Curr Opin Biotechnol       Date:  2001-10       Impact factor: 9.740

5.  Endosperm developments

Authors: 
Journal:  Plant Cell       Date:  1998-04       Impact factor: 11.277

6.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

7.  Quantitative trait locus mapping of loci influencing elongation factor 1alpha content in maize endosperm.

Authors:  X Wang; Y M Woo; C S Kim; B A Larkins
Journal:  Plant Physiol       Date:  2001-03       Impact factor: 8.340

8.  Aspartate kinase 2. A candidate gene of a quantitative trait locus influencing free amino acid content in maize endosperm.

Authors:  X Wang; D K Stumpf; B A Larkins
Journal:  Plant Physiol       Date:  2001-04       Impact factor: 8.340

9.  MUTANT GENE THAT CHANGES PROTEIN COMPOSITION AND INCREASES LYSINE CONTENT OF MAIZE ENDOSPERM.

Authors:  E T MERTZ; L S BATES; O E NELSON
Journal:  Science       Date:  1964-07-17       Impact factor: 47.728

10.  Functional expression of the transcriptional activator Opaque-2 of Zea mays in transformed yeast.

Authors:  I Mauri; M Maddaloni; S Lohmer; M Motto; F Salamini; R Thompson; E Martegani
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  10 in total

1.  Multiple-interval mapping for quantitative trait loci controlling endosperm traits.

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Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

2.  Genetic enhancement of essential amino acids for nutritional enrichment of maize protein quality through marker assisted selection.

Authors:  Ravneet Kaur; Gurleen Kaur; Yogesh Vikal; Gurjit Kaur Gill; Sunita Sharma; Jagveer Singh; Gaganpreet Kaur Dhariwal; Ankit Gulati; Amandeep Kaur; Ashok Kumar; Jasbir Singh Chawla
Journal:  Physiol Mol Biol Plants       Date:  2020-10-27

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Journal:  Theor Appl Genet       Date:  2007-10-02       Impact factor: 5.699

4.  Dissecting genetic architecture underlying seed traits in multiple environments.

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5.  Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits.

Authors:  T Qi; B Jiang; Z Zhu; C Wei; Y Gao; S Zhu; H Xu; X Lou
Journal:  Heredity (Edinb)       Date:  2014-03-12       Impact factor: 3.821

Review 6.  Mapping complex traits as a dynamic system.

Authors:  Lidan Sun; Rongling Wu
Journal:  Phys Life Rev       Date:  2015-02-20       Impact factor: 11.025

7.  Multiomics approach reveals a role of translational machinery in shaping maize kernel amino acid composition.

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Journal:  Plant Physiol       Date:  2022-01-20       Impact factor: 8.005

8.  Development of Biofortified Maize Hybrids through Marker-Assisted Stacking of β-Carotene Hydroxylase, Lycopene-ε-Cyclase and Opaque2 Genes.

Authors:  Rajkumar U Zunjare; Firoz Hossain; Vignesh Muthusamy; Aanchal Baveja; Hema S Chauhan; Jayant S Bhat; Nepolean Thirunavukkarasu; Supradip Saha; Hari S Gupta
Journal:  Front Plant Sci       Date:  2018-02-20       Impact factor: 5.753

9.  Marker-assisted pyramiding of lycopene-ε-cyclase, β-carotene hydroxylase1 and opaque2 genes for development of biofortified maize hybrids.

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Journal:  Sci Rep       Date:  2021-06-16       Impact factor: 4.379

10.  A statistical model for estimating maternal-zygotic interactions and parent-of-origin effects of QTLs for seed development.

Authors:  Yanchun Li; Cintia M Coelho; Tian Liu; Song Wu; Jiasheng Wu; Yanru Zeng; Youchun Li; Brenda Hunter; Ricardo A Dante; Brian A Larkins; Rongling Wu
Journal:  PLoS One       Date:  2008-09-04       Impact factor: 3.240

  10 in total

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