Genome-wide association study (GWAS) of resistance to head smut in maize.

Head smut, caused by the fungus Sphacelotheca reiliana (Kühn) Clint, is a devastating global disease in maize, leading to severe quality and yield loss each year. The present study is the first to conduct a genome-wide association study (GWAS) of head smut resistance using the Illumina MaizeSNP50 array. Out of 45,868 single nucleotide polymorphisms in a panel of 144 inbred lines, 18 novel candidate genes were associated with head smut resistance in maize. These candidate genes were classified into three groups, namely, resistance genes, disease response genes, and other genes with possible plant disease resistance functions. The data suggested a complicated molecular mechanism of maize resistance against S. reiliana. This study also suggested that GWAS is a useful approach for identifying causal genetic factors for head smut resistance in maize.

[1]  S. Tingey,et al.  Whole genome scan detects an allelic variant of fad2 associated with increased oleic acid levels in maize , 2007, Molecular Genetics and Genomics.

[2]  G. Evanno,et al.  Detecting the number of clusters of individuals using the software structure: a simulation study , 2005, Molecular ecology.

[3]  Masatoshi Nei,et al.  Genetic Distance between Populations , 1972, The American Naturalist.

[4]  Jianbing Yan,et al.  Natural Genetic Variation in Lycopene Epsilon Cyclase Tapped for Maize Biofortification , 2008, Science.

[5]  Qian Qian,et al.  Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm , 2011, Nature Genetics.

[6]  J. Ellis,et al.  Molecular Characterization of the Maize Rp1-D Rust Resistance Haplotype and Its Mutants , 1999, Plant Cell.

[7]  A. Melchinger,et al.  Genetic basis of resistance to sugarcane mosaic virus in European maize germplasm , 1998, Theoretical and Applied Genetics.

[8]  M. McMullen,et al.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness , 2006, Nature Genetics.

[9]  X. Xia,et al.  QTL mapping of resistance to Sporisorium reiliana in maize , 2022 .

[10]  T. Shah,et al.  High-throughput SNP genotyping with the GoldenGate assay in maize , 2010, Molecular Breeding.

[11]  F. Rohlf,et al.  NTSYS-pc Numerical Taxonomy and Multivariate Analysis System, version 2.1: Owner manual , 1992 .

[12]  Peter J. Bradbury,et al.  Genome-wide nested association mapping of quantitative resistance to northern leaf blight in maize , 2011, Proceedings of the National Academy of Sciences.

[13]  Robert C. Edgar,et al.  MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.

[14]  Jonathan D. G. Jones,et al.  Genome-wide survey of Arabidopsis natural variation in downy mildew resistance using combined association and linkage mapping , 2010, Proceedings of the National Academy of Sciences.

[15]  Jing Zhao,et al.  Identification and fine-mapping of a major QTL conferring resistance against head smut in maize , 2008, Theoretical and Applied Genetics.

[16]  Zhang Xiu-wen Establishment IPM of System of Corn Diseases and Pest Lnsects in The Spring Corn Belt , 2000 .

[17]  Kejun Liu,et al.  PowerMarker: an integrated analysis environment for genetic marker analysis , 2005, Bioinform..

[18]  J. Dangl,et al.  NB-LRR proteins: pairs, pieces, perception, partners, and pathways. , 2010, Current opinion in plant biology.

[19]  Bjarni V. Halldórsson,et al.  Many sequence variants affecting diversity of adult human height , 2008, Nature Genetics.

[20]  R. Jorgensen,et al.  Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[21]  M. McMullen,et al.  Molecular mapping of a major gene conferring resistance to maize mosaic virus , 1997, Theoretical and Applied Genetics.

[22]  M. McMullen,et al.  Three Genetic Loci Control Resistance to Wheat Streak Mosaic Virus in the Maize Inbred Pa405 , 1994 .

[23]  J. Bennetzen,et al.  The Rp3 disease resistance gene of maize: mapping and characterization of introgressed alleles , 1995, Theoretical and Applied Genetics.

[24]  Jianbing Yan,et al.  Genetic Characterization and Linkage Disequilibrium Estimation of a Global Maize Collection Using SNP Markers , 2009, PloS one.

[25]  W. G. Hill,et al.  Genome partitioning of genetic variation for complex traits using common SNPs , 2011, Nature Genetics.

[26]  Peter J. Bradbury,et al.  The Genetic Architecture of Maize Flowering Time , 2009, Science.

[27]  Qifa Zhang,et al.  Genome-wide association studies of 14 agronomic traits in rice landraces , 2010, Nature Genetics.

[28]  R. Tarchini,et al.  Mapping quantitative trait loci (QTLs) for resistance to Gibberella zeae infection in maize , 1993, Molecular and General Genetics MGG.

[29]  A. Melchinger,et al.  Mapping and characterization of quantitative trait loci affecting resistance against second-generation European corn borer in maize with the aid of RFLPs , 1993, Heredity.

[30]  David Mackey,et al.  Elicitors, effectors, and R genes: the new paradigm and a lifetime supply of questions. , 2007, Annual review of phytopathology.

[31]  D. Reich,et al.  Population Structure and Eigenanalysis , 2006, PLoS genetics.

[32]  Joy Bergelson,et al.  Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature , 2010, PLoS genetics.

[33]  Peter J. Bradbury,et al.  Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population , 2011, Nature Genetics.

[34]  T. A. Hall,et al.  BIOEDIT: A USER-FRIENDLY BIOLOGICAL SEQUENCE ALIGNMENT EDITOR AND ANALYSIS PROGRAM FOR WINDOWS 95/98/ NT , 1999 .

[35]  J. Brewbaker,et al.  Molecular mapping of QTLs conferring resistance to Sphacelotheca reiliana (Kühn) Clint. , 1999 .

[36]  M. Gore,et al.  Status and Prospects of Association Mapping in Plants , 2008 .

[37]  Zhiwu Zhang,et al.  Mixed linear model approach adapted for genome-wide association studies , 2010, Nature Genetics.

[38]  S. Zhang,et al.  Analysis of QTL for resistance to head smut (Sporisorium reiliana) in maize , 2008 .

[39]  W. Zhen Research Advance on Head Smut Disease in Maize , 2002 .

[40]  R. Frederiksen Head smuts of corn and sorghum , 1977 .

[41]  W. M. Ross,et al.  Exact Confidence Intervals for Heritability on a Progeny Mean Basis1 , 1983 .

[42]  W. Kim,et al.  Further Characterization of a Rice AGL12 Group MADS-Box Gene, OsMADS261[C][W][OA] , 2008, Plant Physiology.

[43]  Jean-Marcel Ribaut,et al.  Joint linkage–linkage disequilibrium mapping is a powerful approach to detecting quantitative trait loci underlying drought tolerance in maize , 2010, Proceedings of the National Academy of Sciences.

[44]  C. Gieger,et al.  Identification of ten loci associated with height highlights new biological pathways in human growth , 2008, Nature Genetics.

[45]  David M. Evans,et al.  Genome-wide association analysis identifies 20 loci that influence adult height , 2008, Nature Genetics.

[46]  P. León,et al.  Hexokinase as a sugar sensor in higher plants. , 1997, The Plant cell.

[47]  Zhiwu Zhang,et al.  Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design , 2009, The Plant Cell Online.

[48]  Xianghua Li,et al.  Molecular analyses of the rice tubby-like protein gene family and their response to bacterial infection , 2008, Plant Cell Reports.

[49]  T. Shah,et al.  Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection , 2010, Theoretical and Applied Genetics.