Literature DB >> 21217757

Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population.

Kristen L Kump1, Peter J Bradbury, Randall J Wisser, Edward S Buckler, Araby R Belcher, Marco A Oropeza-Rosas, John C Zwonitzer, Stephen Kresovich, Michael D McMullen, Doreen Ware, Peter J Balint-Kurti, James B Holland.   

Abstract

Nested association mapping (NAM) offers power to resolve complex, quantitative traits to their causal loci. The maize NAM population, consisting of 5,000 recombinant inbred lines (RILs) from 25 families representing the global diversity of maize, was evaluated for resistance to southern leaf blight (SLB) disease. Joint-linkage analysis identified 32 quantitative trait loci (QTLs) with predominantly small, additive effects on SLB resistance. Genome-wide association tests of maize HapMap SNPs were conducted by imputing founder SNP genotypes onto the NAM RILs. SNPs both within and outside of QTL intervals were associated with variation for SLB resistance. Many of these SNPs were within or near sequences homologous to genes previously shown to be involved in plant disease resistance. Limited linkage disequilibrium was observed around some SNPs associated with SLB resistance, indicating that the maize NAM population enables high-resolution mapping of some genome regions.

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Year:  2011        PMID: 21217757     DOI: 10.1038/ng.747

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  48 in total

1.  Genome-wide genetic association of complex traits in heterogeneous stock mice.

Authors:  William Valdar; Leah C Solberg; Dominique Gauguier; Stephanie Burnett; Paul Klenerman; William O Cookson; Martin S Taylor; J Nicholas P Rawlins; Richard Mott; Jonathan Flint
Journal:  Nat Genet       Date:  2006-07-09       Impact factor: 38.330

Review 2.  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

Review 3.  Shades of gray: the world of quantitative disease resistance.

Authors:  Jesse A Poland; Peter J Balint-Kurti; Randall J Wisser; Richard C Pratt; Rebecca J Nelson
Journal:  Trends Plant Sci       Date:  2008-12-04       Impact factor: 18.313

4.  Use of selection with recurrent backcrossing and QTL mapping to identify loci contributing to southern leaf blight resistance in a highly resistant maize line.

Authors:  John C Zwonitzer; David M Bubeck; Dinakar Bhattramakki; Major M Goodman; Consuelo Arellano; Peter J Balint-Kurti
Journal:  Theor Appl Genet       Date:  2009-01-08       Impact factor: 5.699

5.  Identification of quantitative trait Loci for resistance to southern leaf blight and days to anthesis in a maize recombinant inbred line population.

Authors:  P J Balint-Kurti; M D Krakowsky; M P Jines; L A Robertson; T L Molnár; M M Goodman; J B Holl
Journal:  Phytopathology       Date:  2006-10       Impact factor: 4.025

6.  Analysis of quantitative trait Loci for resistance to southern leaf blight in juvenile maize.

Authors:  P J Balint-Kurti; M L Carson
Journal:  Phytopathology       Date:  2006-03       Impact factor: 4.025

7.  Overexpression of a rice NPR1 homolog leads to constitutive activation of defense response and hypersensitivity to light.

Authors:  Mawsheng Chern; Heather A Fitzgerald; Patrick E Canlas; Duroy A Navarre; Pamela C Ronald
Journal:  Mol Plant Microbe Interact       Date:  2005-06       Impact factor: 4.171

8.  Loss of function of a proline-containing protein confers durable disease resistance in rice.

Authors:  Shuichi Fukuoka; Norikuni Saka; Hironori Koga; Kazuko Ono; Takehiko Shimizu; Kaworu Ebana; Nagao Hayashi; Akira Takahashi; Hirohiko Hirochika; Kazutoshi Okuno; Masahiro Yano
Journal:  Science       Date:  2009-08-21       Impact factor: 47.728

9.  The tomato gene Pti1 encodes a serine/threonine kinase that is phosphorylated by Pto and is involved in the hypersensitive response.

Authors:  J Zhou; Y T Loh; R A Bressan; G B Martin
Journal:  Cell       Date:  1995-12-15       Impact factor: 41.582

10.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

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  218 in total

1.  Maize HapMap2 identifies extant variation from a genome in flux.

Authors:  Jer-Ming Chia; Chi Song; Peter J Bradbury; Denise Costich; Natalia de Leon; John Doebley; Robert J Elshire; Brandon Gaut; Laura Geller; Jeffrey C Glaubitz; Michael Gore; Kate E Guill; Jim Holland; Matthew B Hufford; Jinsheng Lai; Meng Li; Xin Liu; Yanli Lu; Richard McCombie; Rebecca Nelson; Jesse Poland; Boddupalli M Prasanna; Tanja Pyhäjärvi; Tingzhao Rong; Rajandeep S Sekhon; Qi Sun; Maud I Tenaillon; Feng Tian; Jun Wang; Xun Xu; Zhiwu Zhang; Shawn M Kaeppler; Jeffrey Ross-Ibarra; Michael D McMullen; Edward S Buckler; Gengyun Zhang; Yunbi Xu; Doreen Ware
Journal:  Nat Genet       Date:  2012-06-03       Impact factor: 38.330

2.  Genome-wide association study (GWAS) of carbon isotope ratio (δ13C) in diverse soybean [Glycine max (L.) Merr.] genotypes.

Authors:  Arun Prabhu Dhanapal; Jeffery D Ray; Shardendu K Singh; Valerio Hoyos-Villegas; James R Smith; Larry C Purcell; C Andy King; Perry B Cregan; Qijian Song; Felix B Fritschi
Journal:  Theor Appl Genet       Date:  2014-11-04       Impact factor: 5.699

3.  The relationship between parental genetic or phenotypic divergence and progeny variation in the maize nested association mapping population.

Authors:  H-Y Hung; C Browne; K Guill; N Coles; M Eller; A Garcia; N Lepak; S Melia-Hancock; M Oropeza-Rosas; S Salvo; N Upadyayula; E S Buckler; S Flint-Garcia; M D McMullen; T R Rocheford; J B Holland
Journal:  Heredity (Edinb)       Date:  2011-10-26       Impact factor: 3.821

4.  Flowering time in maize: linkage and epistasis at a major effect locus.

Authors:  Eléonore Durand; Sophie Bouchet; Pascal Bertin; Adrienne Ressayre; Philippe Jamin; Alain Charcosset; Christine Dillmann; Maud I Tenaillon
Journal:  Genetics       Date:  2012-01-31       Impact factor: 4.562

5.  Genome-wide genetic changes during modern breeding of maize.

Authors:  Yinping Jiao; Hainan Zhao; Longhui Ren; Weibin Song; Biao Zeng; Jinjie Guo; Baobao Wang; Zhipeng Liu; Jing Chen; Wei Li; Mei Zhang; Shaojun Xie; Jinsheng Lai
Journal:  Nat Genet       Date:  2012-06-03       Impact factor: 38.330

6.  A crop of maize variants.

Authors:  Xuehui Huang; Bin Han
Journal:  Nat Genet       Date:  2012-06-27       Impact factor: 38.330

7.  A remorin gene is implicated in quantitative disease resistance in maize.

Authors:  Tiffany M Jamann; Xingyu Luo; Laura Morales; Judith M Kolkman; Chia-Lin Chung; Rebecca J Nelson
Journal:  Theor Appl Genet       Date:  2016-02-05       Impact factor: 5.699

8.  Genome-wide association analysis identified SNPs closely linked to a gene resistant to Soil-borne wheat mosaic virus.

Authors:  Shubing Liu; Xiping Yang; Dadong Zhang; Guihua Bai; Shiaoman Chao; William Bockus
Journal:  Theor Appl Genet       Date:  2014-02-13       Impact factor: 5.699

9.  Genome-wide association of carbon and nitrogen metabolism in the maize nested association mapping population.

Authors:  Nengyi Zhang; Yves Gibon; Jason G Wallace; Nicholas Lepak; Pinghua Li; Lauren Dedow; Charles Chen; Yoon-Sup So; Karl Kremling; Peter J Bradbury; Thomas Brutnell; Mark Stitt; Edward S Buckler
Journal:  Plant Physiol       Date:  2015-04-27       Impact factor: 8.340

10.  Supermodels: sorghum and maize provide mutual insight into the genetics of flowering time.

Authors:  E S Mace; C H Hunt; D R Jordan
Journal:  Theor Appl Genet       Date:  2013-03-05       Impact factor: 5.699

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