Precise Mapping of Quantitative Trait Loci for Resistance to Southern Leaf Blight, Caused by <i>Cochliobolus heterostrophus</i> Race O, and Flowering Time Using Advanced Intercross Maize Lines

Balint‐Kurti, Peter; Zwonitzer, John C.; Wisser, Randall J.; Carson, M. L.; Oropeza-Rosas, Marco A.; Holland, James B.; Szalma, Stephen J.

doi:10.1534/genetics.106.067892

Cited by 113 publications

(140 citation statements)

References 49 publications

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“…Two linked QTL in the intermated population were identified in a region where a single QTL was detected in the F 3 population. These observations are consistent with those of Balint-Kurti et al (2007) who observed a notable gain in precision in QTL mapping in their intermated population, reaching up to 50-fold smaller CI in the specific situation of breaking linkage of two QTL in repulsion. However, we detected globally fewer QTL in the intermated population than in the conventional one (in the whole data set, we detected slightly more QTL for DGY, but much fewer for the other traits).…”

Section: Discussionsupporting

confidence: 91%

“…Because recombination rates were estimated on the basis of the accumulation of recombination events through random mating generations (Lee et al 2002;Winkler et al 2003;Falque et al 2005Falque et al , 2006Falque 2005), the unit of distance in the LHRF-F 3 population does not correspond to ''true'' centimorgans. We designated this unit of distance ''IcM'' for ''intermated centimorgans,'' as reported in the literature (Balint-Kurti et al 2007).…”

Section: Methodsmentioning

confidence: 99%

“…Mapping experiments using AILs in animals and plants have been published (Iraqi et al 2000;Hazen et al 2003;Wang et al 2003;Jagodic et al 2004;Hernandez-Valladares et al 2004;Scott and Duvick 2005;Yu et al 2007;Balint-Kurti et al 2007Rodriguez et al 2008;Capelle et al 2010). In maize, the IBM population (for Intermated B73 3 Mo17, Lee et al 2002), is widely used by the maize international community for high-density genetic mapping Fu et al 2006) and fine mapping of traits of interest (Hazen et al 2003;Scott and Duvick 2005;Balint-Kurti et al 2007Rodriguez et al 2008).…”

Section: Q Uantitative Trait Loci (Qtl) Mapping Providesmentioning

confidence: 99%

“…In maize, the IBM population (for Intermated B73 3 Mo17, Lee et al 2002), is widely used by the maize international community for high-density genetic mapping Fu et al 2006) and fine mapping of traits of interest (Hazen et al 2003;Scott and Duvick 2005;Balint-Kurti et al 2007Rodriguez et al 2008). Balint-Kurti et al (2007 were the first to compare the precision of QTL detection in conventional recombinant inbred lines (RILs) and intermated RILs, derived from the same parental lines, for two disease resistance traits in maize. These authors found a dramatic reduction of QTL confidence interval for some regions in the intermated population, reaching up to 50-fold in the case of two distinct QTL in repulsion detected as one unique QTL in the conventional population.…”

Section: Q Uantitative Trait Loci (Qtl) Mapping Providesmentioning

confidence: 99%

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The Genetic Architecture of Grain Yield and Related Traits in Zea maize L. Revealed by Comparing Intermated and Conventional Populations

Huang¹,

Madur

Combes

et al. 2010

Genetics

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Using advanced intermated populations has been proposed as a way to increase the accuracy of mapping experiments. An F 3 population of 300 lines and an advanced intermated F 3 population of 322 lines, both derived from the same parental maize inbred lines, were jointly evaluated for dry grain yield (DGY), grain moisture (GM), and silking date (SD). Genetic variance for dry grain yield was significantly lower in the intermated population compared to the F 3 population. The confidence interval around a QTL was on average 2.31 times smaller in the intermated population compared to the F 3 population. One controversy surrounding QTL mapping is whether QTL identified in fact represent single loci. This study identifies two distinct loci for dry grain yield in the intermated population in coupling phase, while the F 3 identifies only a single locus. Surprisingly, fewer QTL were detected in the intermated population than the F 3 (21 vs. 30) and ,50% of the detected QTL were shared among the two populations. Crossvalidation showed that selection bias was more important in the intermated population than in the F 3 and that each detected QTL explained a lower percentage of the variance. This finding supports the hypothesis that QTL detected in conventional populations correspond mainly to clusters of linked QTL. The actual number of QTL involved in the genetic architecture of complex traits may be substantially larger, with effect sizes substantially smaller than in conventional populations.

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Section: Discussionsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Section: Q Uantitative Trait Loci (Qtl) Mapping Providesmentioning

confidence: 99%

Section: Q Uantitative Trait Loci (Qtl) Mapping Providesmentioning

confidence: 99%

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The Genetic Architecture of Grain Yield and Related Traits in Zea maize L. Revealed by Comparing Intermated and Conventional Populations

Huang¹,

Madur

Combes

et al. 2010

Genetics

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“…This population has been used to map QTLs for cell wall composition, flowering time, and resistance to southern leaf blight (Hazen et al, 2003;Balint-Kurti et al, 2007). In our analysis, none of the 16 QTLs identified mapped to phytochrome gene family or Elm1 loci.…”

Section: Discussionmentioning

confidence: 93%

Physiological and Genetic Characterization of End-of-Day Far-Red Light Response in Maize Seedlings

et al. 2010

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Developmental responses associated with end-of-day far-red light (EOD-FR) signaling were investigated in maize (Zea mays subspecies mays) seedlings. A survey of genetically diverse inbreds of temperate and tropical/semitropical origins, together with teosinte (Zea mays subspecies parviglumis) and a modern hybrid, revealed distinct elongation responses. A mesocotyl elongation response to the EOD-FR treatment was largely absent in the tropical/semitropical lines, but both hybrid and temperate inbred responses were of the same magnitude as in teosinte, suggesting that EOD-FR-mediated mesocotyl responses were not lost during the domestication or breeding process. The genetic architecture underlying seedling responses to EOD-FR was investigated using the intermated B73 3 Mo17 mapping population. Among the different quantitative trait loci identified, two were consistently detected for elongation and responsiveness under EOD-FR, but none were associated with known light signaling loci. The central role of phytochromes in mediating EOD-FR responses was shown using a phytochromeB1 phytochromeB2 (phyB1 phyB2) mutant series. Unlike the coleoptile and first leaf sheath, EOD-FR-mediated elongation of the mesocotyl appears predominantly controlled by gibberellin. EOD-FR also reduced abscisic acid (ABA) levels in the mesocotyl for both the wild type and phyB1 phyB2 double mutants, suggesting a FR-mediated but PHYB-independent control of ABA accumulation. EOD-FR elongation responses were attenuated in both the wild type and phyB1 phyB2 double mutants when a chilling stress was applied during the dark period, concomitant with an increase in ABA levels. We present a model for the EOD-FR response that integrates light and hormonal control of seedling elongation.

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Identification of quantitative trait loci associated with maize resistance to bacterial leaf streak

et al. 2020

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Bacterial leaf streak (BLS), a foliar disease of maize (Zea mays L.) caused by Xanthomonas vasicola pv. vasculorum, recently emerged in the Americas as a disease of major importance. Little is known about the disease cycle, and consequently, management is difficult. No chemical control is available. Host resistance will likely play a major role in controlling the disease, but to date, no data regarding the resistance of maize germplasm to X. vasicola pv. vasculorum have been published. The objective of this study was to examine the genetic architecture of resistance to BLS. We conducted quantitative trait locus (QTL) mapping for BLS resistance in three maize populations: the Z022 (B73 × Oh43 recombinant inbred line) nested association mapping (NAM) population, the Z023 (B73 × Oh7B recombinant inbred line) NAM population, and the DRIL78 (NC344 × Oh7B chromosome segment substitution line) population. A total of five QTL were detected across two of the mapping populations. Of the QTL detected, one conferred a moderate effect, whereas the others conferred small effects. We also examined the relationship between resistance to BLS and resistance to three foliar diseases of maize, which had been mapped previously. The only significant correlation we found for BLS was with northern corn leaf blight [caused by Exserohilum turcicum (Pass.) K. J. Leonard & Suggs] in one of the populations, although two of the five BLS regions were involved in resistance to other diseases. These data will be useful for developing maize varieties resistant to BLS to mitigate the impact of bacterial leaf streak on maize production.

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Precise Mapping of Quantitative Trait Loci for Resistance to Southern Leaf Blight, Caused by Cochliobolus heterostrophus Race O, and Flowering Time Using Advanced Intercross Maize Lines

Cited by 113 publications

References 49 publications

The Genetic Architecture of Grain Yield and Related Traits in Zea maize L. Revealed by Comparing Intermated and Conventional Populations

The Genetic Architecture of Grain Yield and Related Traits in Zea maize L. Revealed by Comparing Intermated and Conventional Populations

Physiological and Genetic Characterization of End-of-Day Far-Red Light Response in Maize Seedlings

Identification of quantitative trait loci associated with maize resistance to bacterial leaf streak

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