Literature DB >> 21792633

Use of Mutant-Assisted Gene Identification and Characterization (MAGIC) to identify novel genetic loci that modify the maize hypersensitive response.

Vijay Chaikam1, Adisu Negeri, Rahul Dhawan, Bala Puchaka, Jiabing Ji, Satya Chintamanani, Emma W Gachomo, Allen Zillmer, Timothy Doran, Cliff Weil, Peter Balint-Kurti, Guri Johal.   

Abstract

The partially dominant, autoactive maize disease resistance gene Rp1-D21 causes hypersensitive response (HR) lesions to form spontaneously on leaves and stems in the absence of pathogen recognition. The maize nested association mapping (NAM) population consists of 25 200-line subpopulations each derived from a cross between the maize line B73 and one of 25 diverse inbred lines. By crossing a line carrying the Rp1-D21 gene with lines from three of these subpopulations and assessing the F(1) progeny, we were able to map several novel loci that modify the maize HR, using both single-population quantitative trait locus (QTL) and joint analysis of all three populations. Joint analysis detected QTL in greater number and with greater confidence and precision than did single population analysis. In particular, QTL were detected in bins 1.02, 4.04, 9.03, and 10.03. We have previously termed this technique, in which a mutant phenotype is used as a "reporter" for a trait of interest, Mutant-Assisted Gene Identification and Characterization (MAGIC).

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Year:  2011        PMID: 21792633     DOI: 10.1007/s00122-011-1641-5

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


  25 in total

1.  Expanding the genetic map of maize with the intermated B73 x Mo17 (IBM) population.

Authors:  Michael Lee; Natalya Sharopova; William D Beavis; David Grant; Maria Katt; Deborah Blair; Arnel Hallauer
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

2.  Fitness costs of R-gene-mediated resistance in Arabidopsis thaliana.

Authors:  D Tian; M B Traw; J Q Chen; M Kreitman; J Bergelson
Journal:  Nature       Date:  2003-05-01       Impact factor: 49.962

3.  Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci.

Authors:  Malgorzata Bogdan; Jayanta K Ghosh; R W Doerge
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

4.  In the eye of the beholder: the effect of rater variability and different rating scales on QTL mapping.

Authors:  Jesse A Poland; Rebecca J Nelson
Journal:  Phytopathology       Date:  2011-02       Impact factor: 4.025

5.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

Review 6.  Hybrid necrosis: autoimmunity as a potential gene-flow barrier in plant species.

Authors:  Kirsten Bomblies; Detlef Weigel
Journal:  Nat Rev Genet       Date:  2007-04-03       Impact factor: 53.242

Review 7.  Elicitors, effectors, and R genes: the new paradigm and a lifetime supply of questions.

Authors:  Andrew F Bent; David Mackey
Journal:  Annu Rev Phytopathol       Date:  2007       Impact factor: 13.078

8.  The Locus Lookup tool at MaizeGDB: identification of genomic regions in maize by integrating sequence information with physical and genetic maps.

Authors:  Carson M Andorf; Carolyn J Lawrence; Lisa C Harper; Mary L Schaeffer; Darwin A Campbell; Taner Z Sen
Journal:  Bioinformatics       Date:  2010-02-01       Impact factor: 6.937

9.  Advanced backcross QTL analysis in a cross between an elite processing line of tomato and its wild relative L. pimpinellifolium.

Authors:  S D Tanksley; S Grandillo; T M Fulton; D Zamir; Y Eshed; V Petiard; J Lopez; T Beck-Bunn
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

10.  Natural allelic variation underlying a major fitness trade-off in Arabidopsis thaliana.

Authors:  Marco Todesco; Sureshkumar Balasubramanian; Tina T Hu; M Brian Traw; Matthew Horton; Petra Epple; Christine Kuhns; Sridevi Sureshkumar; Christopher Schwartz; Christa Lanz; Roosa A E Laitinen; Yu Huang; Joanne Chory; Volker Lipka; Justin O Borevitz; Jeffery L Dangl; Joy Bergelson; Magnus Nordborg; Detlef Weigel
Journal:  Nature       Date:  2010-06-03       Impact factor: 49.962

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  14 in total

1.  Identification of modifiers of the plant height in wheat using an induced dwarf mutant controlled by RhtB4c allele.

Authors:  Priyanka Agarwal; H S Balyan; P K Gupta
Journal:  Physiol Mol Biol Plants       Date:  2020-11-19

2.  A connected set of genes associated with programmed cell death implicated in controlling the hypersensitive response in maize.

Authors:  Bode A Olukolu; Adisu Negeri; Rahul Dhawan; Bala P Venkata; Pankaj Sharma; Anshu Garg; Emma Gachomo; Sandeep Marla; Kevin Chu; Anna Hasan; Jiabing Ji; Satya Chintamanani; Jason Green; Chi-Ren Shyu; Randall Wisser; James Holland; Guri Johal; Peter Balint-Kurti
Journal:  Genetics       Date:  2012-12-05       Impact factor: 4.562

3.  Variation in Maize Chlorophyll Biosynthesis Alters Plant Architecture.

Authors:  Rajdeep S Khangura; Gurmukh S Johal; Brian P Dilkes
Journal:  Plant Physiol       Date:  2020-07-08       Impact factor: 8.340

4.  Maize Homologs of Hydroxycinnamoyltransferase, a Key Enzyme in Lignin Biosynthesis, Bind the Nucleotide Binding Leucine-Rich Repeat Rp1 Proteins to Modulate the Defense Response.

Authors:  Guan-Feng Wang; Yijian He; Renee Strauch; Bode A Olukolu; Dahlia Nielsen; Xu Li; Peter J Balint-Kurti
Journal:  Plant Physiol       Date:  2015-09-15       Impact factor: 8.340

Review 5.  Epistasis and quantitative traits: using model organisms to study gene-gene interactions.

Authors:  Trudy F C Mackay
Journal:  Nat Rev Genet       Date:  2013-12-03       Impact factor: 53.242

6.  Maize Homologs of CCoAOMT and HCT, Two Key Enzymes in Lignin Biosynthesis, Form Complexes with the NLR Rp1 Protein to Modulate the Defense Response.

Authors:  Guan-Feng Wang; Peter J Balint-Kurti
Journal:  Plant Physiol       Date:  2016-05-10       Impact factor: 8.340

7.  The Genetics of Leaf Flecking in Maize and Its Relationship to Plant Defense and Disease Resistance.

Authors:  Bode A Olukolu; Yang Bian; Brian De Vries; William F Tracy; Randall J Wisser; James B Holland; Peter J Balint-Kurti
Journal:  Plant Physiol       Date:  2016-09-26       Impact factor: 8.340

8.  Molecular and functional analyses of a maize autoactive NB-LRR protein identify precise structural requirements for activity.

Authors:  Guan-Feng Wang; Jiabing Ji; Farid El-Kasmi; Jeffery L Dangl; Guri Johal; Peter J Balint-Kurti
Journal:  PLoS Pathog       Date:  2015-02-26       Impact factor: 6.823

9.  Characterization of temperature and light effects on the defense response phenotypes associated with the maize Rp1-D21 autoactive resistance gene.

Authors:  Adisu Negeri; Guan-Feng Wang; Larissa Benavente; Cromwell M Kibiti; Vijay Chaikam; Guri Johal; Peter Balint-Kurti
Journal:  BMC Plant Biol       Date:  2013-07-26       Impact factor: 4.215

10.  A genome-wide association study of the maize hypersensitive defense response identifies genes that cluster in related pathways.

Authors:  Bode A Olukolu; Guan-Feng Wang; Vijay Vontimitta; Bala P Venkata; Sandeep Marla; Jiabing Ji; Emma Gachomo; Kevin Chu; Adisu Negeri; Jacqueline Benson; Rebecca Nelson; Peter Bradbury; Dahlia Nielsen; James B Holland; Peter J Balint-Kurti; Gurmukh Johal
Journal:  PLoS Genet       Date:  2014-08-28       Impact factor: 5.917

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