Mapping of QTL conferring resistance to northern corn leaf blight using high-density SNPs in maize

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• 作者：Gengshen Chen ; Xiaoming Wang ; Shusheng Long ; Jennifer Jaqueth…
• 关键词：Maize ; Northern corn leaf blight ; QTL ; RIL ; SNP marker
• 刊名：Molecular Breeding
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：36
• 期：1
• 全文大小：652 KB
• 参考文献：Ali F, Yan JB (2012) The phenomenon of disease resistance in maize and the role of molecular breeding in defending against global threat. J Integr Plant Biol 55:134–151CrossRef
  Balint-Kurti PJ, Johal G (2009) Maize disease resistance. In: Bennetzen JL, Hake SC (eds) Handbook of maize: its biology. Springer, New York, pp 229–250CrossRef
  Bentolila S, Guitton C, Bouvet N, Sailand A, Nykaza S, Freyssinet G (1991) Identification of RFLP marker tightly linked to the Ht1 gene in maize. Theor Appl Genet 82:393–398CrossRef PubMed
  Brewster VA, Carson ML, Wicks ZW (1992) Mapping components of partial resistance to northern leaf blight of maize using reciprocal translocations. Phytopathology 82:225–229CrossRef
  Broman KW, Wu H, Sen Ś, Churchill GA (2003) R/qtl: QTL mapping in experimental crosses. Bioinformatics 19:889–890CrossRef PubMed
  Carson ML (1995) A new gene in maize conferring the chlorotic halo reaction to infection by Exserohilum turcicum. Plant Dis 79:717–720CrossRef
  Chen ZL, Wang BB, Dong XM, Liu H, Ren LH, Chen J, Hauck A, Song WB, Lai JS (2014) An ultra-high density bin-map for rapid QTL mapping for tassel and ear architecture in a large F2 maize population. BMC Genom 15:433CrossRef
  Chung CL, Longfellow J, Walsh EK, Kerdieh Z, Esbroeck GV, Balint-Kurti P, Nelson RJ (2010a) Resistance loci affecting distinct stages of fungal pathogenesis: use of introgression lines for QTL mapping and characterization in the maize-Setosphaeria turcica pathosystem. BMC Plant Biol 10:103PubMedCentral CrossRef PubMed
  Chung CL, Jamann T, Longfellow J, Nelson R (2010b) Characterization and fine-mapping of a resistance locus for northern leaf blight in maize bin 8.06. Theor Appl Genet 121:205–227CrossRef PubMed
  Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971PubMedCentral PubMed
  Ganal MW, Durstewitz G, Polley A, Bérard A, Buckler ES, Charcosset A, Clarke JD, Graner EM, Hansen M, Joets J, Paslier MCL, McMullen MD, Montalent P, Rose M, Schön CC, Sun Q, Walter H, Martin OC, Falque M (2011) A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome. PLoS ONE 6:e28334PubMedCentral CrossRef PubMed
  Hurni S, Scheuermann D, Krattinger SG, Kessel B, Wicker T, Herren G, Fitze MN, Breen J, Presterl T, Ouzunova M, Keller B (2015) The maize disease resistance gene Htn1 against northern corn leaf blight encodes a wall-associated receptor-like kinase. Proc Natl Acad Sci 112:8781–8785CrossRef
  Inghelandt DV, Melchinger AE, Martinant J, Stich B (2012) Genome-wide association mapping of flowering time and northern corn leaf blight (Setosphaeria turcica) resistance in a vast commercial maize germplasm set. BMC Plant Biol 12:56PubMedCentral CrossRef PubMed
  Jamann TM, Poland JA, Kolkman JM, Smith LG, Nelson RJ (2014) Unraveling genomic complexity at a quantitative disease resistance locus in maize. Genetics 198:333–344PubMedCentral CrossRef PubMed
  Knapp SJ, Stroup WW, Ross WM (1985) Exact confidence intervals for heritability on a progeny mean basis. Crop Sci 25:192–194CrossRef
  Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugenic 12:172–175CrossRef
  Li FM, Mao JC, Li XT (2004) The breeding of maize inbred line K22 and the analysis on the combine ability. J Gansu Agric Univ 39:312–315
  Ogliari JB, Guimarães MA, Geraldi IO, Camargo LEA (2005) New resistance genes in the Zea mays L.-Exserohilum tucicum pathosystem. Genet Mol Biol 28:435–439CrossRef
  Ogliari JB, Guirnaraes MA, Aranha Carnargo LE (2007) Chromosomal locations of the maize (Zea mays L.) HtP and rt genes that confer resistance to Exserohilum turcicum. Genet Mol Biol 30:630–634CrossRef
  Parlevliet JE (2002) Durability of resistance against fungal, bacterial and viral pathogens; present situation. Euphytica 124:147–156CrossRef
  Poland JA, Bradbury PJ, Buckler ES, Nelson RJ (2011) Genome-wide nested association mapping of quantitative resistance to northern leaf blight in maize. Proc Natl Acad Sci 108:6893–6898PubMedCentral CrossRef PubMed
  Pratt RC, Gordon SG (2006) Breeding for resistance to maize foliar pathogens. Plant Breed Rev 26:119–173
  Raymundo AD, Hooker AL (1981) Measuring the relationship between northern corn leaf blight and yield losses. Plant Dis 65:325–327CrossRef
  Shao Z, Chang Q, Tao W (2009) Establishment of Shaanxi soil information system based on ArcEngine. Bull Soil Water Conserv 29:125–129
  Simcox KD, Bennetzen JL (1993) The use of molecular markers to study Setosphaeria turcica resistance in maize. Phytopathology 83:1326–1330CrossRef
  Tefferi A, Hulluka M, Welz HG (1996) Assessment of damage and grain yield loss in maize caused by northern leaf blight in western Ethiopia. J Plant Dis Protect 103:353–363
  Wang DL, Zhu J, Li ZK, Paterson AH (1999) Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet 99:1255–1264CrossRef
  Welz HG, Geiger HH (2000) Genes for resistance to northern corn leaf blight in diverse maize populations. Plant Breed 119:1–14CrossRef
  Wisser RJ, Balint-Kurti PJ, Nelson RJ (2006) The genetic architecture of disease resistance in maize: a synthesis of published studies. Phytopathology 96:120–129CrossRef PubMed
  Yan JB, Yang XH, Shah T, Sánchez H, Li JS, Warburton M, Zhou Y, Crouch J, Xu YB (2010) High-throughput SNP genotyping with the Golden Gate assay in maize. Mol Breed 25:441–451CrossRef
  Yang J, Zhu J, Williams RW (2007) Mapping the genetic architecture of complex traits in experimental populations. Bioinformatics 23:1527–1536CrossRef PubMed
  Zaitlin D, Demars SJ, Gupta M (1992) Linkage of a second gene for NCLB resistance to molecular markers in maize. Maize Genet Coop Newsl 66:69–70
  Zeng ZB (1994) Precision mapping of quantitative trait loci. Genetics 136:1457–1468PubMedCentral PubMed
  Zhou Y, Fu ZY, Li Q, Xu ST, Chander S, Yang XH, Li JS, Yan JB (2009) Comparative analysis of carotenoid and tocopherol compositions in high-oil and normal maize (Zea mays L.) inbreds. Acta Agronomica Sinica 35:2073–2084CrossRef
  
• 作者单位：Gengshen Chen (1)
  Xiaoming Wang (2)
  Shusheng Long (3)
  Jennifer Jaqueth (4)
  Bailin Li (4)
  Jianbing Yan (1)
  Junqiang Ding (1) (5)
  
  1. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
  2. Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
  3. College of Plant Protection, Northwest Agriculture & Forestry University, Yangling, 712100, China
  4. DuPont Pioneer, Wilmington, DE, 19803, USA
  5. College of Agronomy, Synergetic Innovation Center of Henan Grain Crops and National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002, China
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Plant Sciences
  
• 出版者：Springer Netherlands
• ISSN：1572-9788

文摘

Northern corn leaf blight (NCLB) is a prevalent foliar disease in maize. Deployment of resistant cultivars is an effective way to control NCLB. In this study, 207 recombinant inbred lines derived from a K22 × By815 cross were planted in Yangling, China, in 2012 and 2013. NCLB score and lesion size were investigated after artificial inoculation. Significant phenotypic variation in NCLB resistance was observed in both years. Using a genetic map containing high-density single-nucleotide polymorphisms with average genetic distance of 0.74 cM, quantitative trait loci (QTL) for NCLB score and lesion size were analyzed. For NCLB score, four and three QTL were identified in 2012 and 2013, respectively. Two stable QTL were identified in both years. Of these, qNCLB5.04, located on chromosome 5 (bin 5.04), had the largest resistance effect, accounting for 19 and 20 % of the phenotypic variation in 2012 and 2013, respectively. For lesion size, six QTL were identified. Of these, one consensus QTL was associated with both lesion length and width, and the other five were associated only with lesion width. Among all QTL identified, only qNCLB5.04 was associated with both NCLB score and lesion size. Thus, our mapping results suggest that qNCLB5.04 could be a desirable target for marker-assisted selection for NCLB resistance in maize breeding programs.