Literature DB >> 25855139

MAGIC populations in crops: current status and future prospects.

B Emma Huang1, Klara L Verbyla, Arunas P Verbyla, Chitra Raghavan, Vikas K Singh, Pooran Gaur, Hei Leung, Rajeev K Varshney, Colin R Cavanagh.   

Abstract

KEY MESSAGE: MAGIC populations present novel challenges and opportunities in crops due to their complex pedigree structure. They offer great potential both for dissecting genomic structure and for improving breeding populations. The past decade has seen the rise of multiparental populations as a study design offering great advantages for genetic studies in plants. The genetic diversity of multiple parents, recombined over several generations, generates a genetic resource population with large phenotypic diversity suitable for high-resolution trait mapping. While there are many variations on the general design, this review focuses on populations where the parents have all been inter-mated, typically termed Multi-parent Advanced Generation Intercrosses (MAGIC). Such populations have already been created in model animals and plants, and are emerging in many crop species. However, there has been little consideration of the full range of factors which create novel challenges for design and analysis in these populations. We will present brief descriptions of large MAGIC crop studies currently in progress to motivate discussion of population construction, efficient experimental design, and genetic analysis in these populations. In addition, we will highlight some recent achievements and discuss the opportunities and advantages to exploit the unique structure of these resources post-QTL analysis for gene discovery.

Mesh:

Year:  2015        PMID: 25855139     DOI: 10.1007/s00122-015-2506-0

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


  79 in total

1.  R/mpMap: a computational platform for the genetic analysis of multiparent recombinant inbred lines.

Authors:  B Emma Huang; Andrew W George
Journal:  Bioinformatics       Date:  2011-01-08       Impact factor: 6.937

2.  The analysis of QTL by simultaneous use of the full linkage map.

Authors:  Arūnas P Verbyla; Brian R Cullis; Robin Thompson
Journal:  Theor Appl Genet       Date:  2007-10-20       Impact factor: 5.699

3.  Potential of a tomato MAGIC population to decipher the genetic control of quantitative traits and detect causal variants in the resequencing era.

Authors:  Laura Pascual; Nelly Desplat; Bevan E Huang; Aurore Desgroux; Laure Bruguier; Jean-Paul Bouchet; Quang H Le; Betty Chauchard; Philippe Verschave; Mathilde Causse
Journal:  Plant Biotechnol J       Date:  2014-11-07       Impact factor: 9.803

4.  Multiple quantitative trait analysis using bayesian networks.

Authors:  Marco Scutari; Phil Howell; David J Balding; Ian Mackay
Journal:  Genetics       Date:  2014-09       Impact factor: 4.562

5.  Recombinant-inbred strains. An aid to finding identity, linkage, and function of histocompatibility and other genes.

Authors:  D W Bailey
Journal:  Transplantation       Date:  1971-03       Impact factor: 4.939

6.  Controlling the type I and type II errors in mapping quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

7.  Efficiently tracking selection in a multiparental population: the case of earliness in wheat.

Authors:  Stéphanie Thépot; Gwendal Restoux; Isabelle Goldringer; Frédéric Hospital; David Gouache; Ian Mackay; Jérôme Enjalbert
Journal:  Genetics       Date:  2014-11-17       Impact factor: 4.562

8.  Genotype probabilities at intermediate generations in the construction of recombinant inbred lines.

Authors:  Karl W Broman
Journal:  Genetics       Date:  2012-02       Impact factor: 4.562

9.  Effect of advanced intercrossing on genome structure and on the power to detect linked quantitative trait loci in a multi-parent population: a simulation study in rice.

Authors:  Eiji Yamamoto; Hiroyoshi Iwata; Takanari Tanabata; Ritsuko Mizobuchi; Jun-ichi Yonemaru; Toshio Yamamoto; Masahiro Yano
Journal:  BMC Genet       Date:  2014-04-27       Impact factor: 2.797

10.  Multiple reference genomes and transcriptomes for Arabidopsis thaliana.

Authors:  Xiangchao Gan; Oliver Stegle; Jonas Behr; Joshua G Steffen; Philipp Drewe; Katie L Hildebrand; Rune Lyngsoe; Sebastian J Schultheiss; Edward J Osborne; Vipin T Sreedharan; André Kahles; Regina Bohnert; Géraldine Jean; Paul Derwent; Paul Kersey; Eric J Belfield; Nicholas P Harberd; Eric Kemen; Christopher Toomajian; Paula X Kover; Richard M Clark; Gunnar Rätsch; Richard Mott
Journal:  Nature       Date:  2011-08-28       Impact factor: 49.962

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  82 in total

1.  A Random-Model Approach to QTL Mapping in Multiparent Advanced Generation Intercross (MAGIC) Populations.

Authors:  Julong Wei; Shizhong Xu
Journal:  Genetics       Date:  2015-12-29       Impact factor: 4.562

2.  Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.

Authors:  Sen Han; H Friedrich Utz; Wenxin Liu; Tobias A Schrag; Michael Stange; Tobias Würschum; Thomas Miedaner; Eva Bauer; Chris-Carolin Schön; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2015-12-10       Impact factor: 5.699

3.  Construction of Genetic Linkage Maps in Multiparental Populations.

Authors:  Chaozhi Zheng; Martin P Boer; Fred A van Eeuwijk
Journal:  Genetics       Date:  2019-06-10       Impact factor: 4.562

Review 4.  Quantitative trait loci from identification to exploitation for crop improvement.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta; Sunanda Gupta; Sonali Dubey; Priyanka Gupta; Shiv Kumar
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

5.  SSR-based association mapping of fiber quality in upland cotton using an eight-way MAGIC population.

Authors:  Cong Huang; Chao Shen; Tianwang Wen; Bin Gao; Xiaofang Li; Muhammad Mahmood Ahmed; Dingguo Li; Zhongxu Lin
Journal:  Mol Genet Genomics       Date:  2018-02-01       Impact factor: 3.291

6.  High-Resolution Mapping of Crossover Events in the Hexaploid Wheat Genome Suggests a Universal Recombination Mechanism.

Authors:  Benoit Darrier; Hélène Rimbert; François Balfourier; Lise Pingault; Ambre-Aurore Josselin; Bertrand Servin; Julien Navarro; Frédéric Choulet; Etienne Paux; Pierre Sourdille
Journal:  Genetics       Date:  2017-05-22       Impact factor: 4.562

7.  Evaluation of genomic selection methods for predicting fiber quality traits in Upland cotton.

Authors:  Md Sariful Islam; David D Fang; Johnie N Jenkins; Jia Guo; Jack C McCarty; Don C Jones
Journal:  Mol Genet Genomics       Date:  2019-08-31       Impact factor: 3.291

8.  Development of a Multiparent Population for Genetic Mapping and Allele Discovery in Six-Row Barley.

Authors:  Alex Hemshrot; Ana M Poets; Priyanka Tyagi; Li Lei; Corey K Carter; Candice N Hirsch; Lin Li; Gina Brown-Guedira; Peter L Morrell; Gary J Muehlbauer; Kevin P Smith
Journal:  Genetics       Date:  2019-07-29       Impact factor: 4.562

9.  Genome-wide association mapping for adult resistance to powdery mildew in common wheat.

Authors:  Yichen Kang; Karen Barry; Fangbing Cao; Meixue Zhou
Journal:  Mol Biol Rep       Date:  2019-12-07       Impact factor: 2.316

Review 10.  Insights into deployment of DNA markers in plant variety protection and registration.

Authors:  Seyed Hossein Jamali; James Cockram; Lee T Hickey
Journal:  Theor Appl Genet       Date:  2019-05-02       Impact factor: 5.699

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