Fine mapping of a quantitative resistance gene for gray leaf spot of maize (Zea mays L.) derived from teosinte (Z. mays ssp. parviglumis)

Zhang, Xinye; Yang, Qin; Rucker, Elizabeth; Thomason, Wade E.; Balint‐Kurti, Peter

doi:10.1007/s00122-017-2888-2

Cited by 27 publications

(19 citation statements)

References 54 publications

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“…Utilizing RILs typically allows QTL mapping at low resolution, and fine mapping with NILs can also be limited in regions of low recombination (e.g., Jamann et al 2014). NILs have been used in genetic studies of quantitative disease resistance in maize for QTL discovery (Chung et al 2010;Liu et al 2015;Lopez-Zuniga et al 2019, Morales et al 2020, for phenotypic analysis (Chung et al 2011;Jamann et al 2014;Zhang et al 2017;Morales et al 2020) and for identifying the genes underlying QTL (Yang et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…, Jamann et al 2014 ). NILs have been used in genetic studies of quantitative disease resistance in maize for QTL discovery ( Chung et al 2010 ; Lopez-Zuniga et al 2019 , Morales et al 2020 ), for phenotypic analysis ( Chung et al 2011 ; Jamann et al 2014 ; Zhang et al 2017 ; Morales et al 2020 ) and for identifying the genes underlying QTL ( Yang et al 2017 ).…”

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confidence: 99%

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Maize Introgression Library Provides Evidence for the Involvement ofliguleless1in Resistance to Northern Leaf Blight

Kolkman

Strable

Harline

et al. 2020

G3 Genes|Genomes|Genetics

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Plant disease resistance is largely governed by complex genetic architecture. In maize, few disease resistance loci have been characterized. Near-isogenic lines are a powerful genetic tool to dissect quantitative trait loci. We analyzed an introgression library of maize (Zea mays) near-isogenic lines, termed a nested near-isogenic line library for resistance to northern leaf blight caused by the fungal pathogen Setosphaeria turcica. The population was comprised of 412 BC5F4 near-isogenic lines that originated from 18 diverse donor parents and a common recurrent parent, B73. Single nucleotide polymorphisms identified through genotyping by sequencing were used to define introgressions and for association analysis. Near isogenic lines that conferred resistance and susceptibility to northern leaf blight were comprised of introgressions that overlapped known northern leaf blight quantitative trait loci. Genome-wide association analysis and stepwise regression further resolved five quantitative trait loci regions, and implicated several candidate genes, including Liguleless1, a key determinant of leaf architecture in cereals. Two independently-derived mutant alleles of liguleless1 inoculated with S. turcica showed enhanced susceptibility to northern leaf blight. In the maize nested association mapping population, leaf angle was positively correlated with resistance to northern leaf blight in five recombinant inbred line populations, and negatively correlated with northern leaf blight in four recombinant inbred line populations. This study demonstrates the power of an introgression library combined with high density marker coverage to resolve quantitative trait loci. Furthermore, the role of liguleless1 in leaf architecture and in resistance to northern leaf blight has important applications in crop improvement.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Maize Introgression Library Provides Evidence for the Involvement ofliguleless1in Resistance to Northern Leaf Blight

Kolkman

Strable

Harline

et al. 2020

G3 Genes|Genomes|Genetics

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“…Also, teosinte appears to have greater resistance to a number of pests than its cultivated counterpart (Lange et al ., ). One previous study showed that teosinte alleles on chromosome 8 confer increased resistance to gray leaf spot (Zhang et al ., ). Teosinte undergoes more stress than cultivated maize, and it is necessary for teosinte to have stronger resistance to biotic and abiotic stresses.…”

Section: Discussionmentioning

confidence: 97%

Large‐scale metabolite quantitative trait locus analysis provides new insights for high‐quality maize improvement

Wen

Alseekh

et al. 2019

The Plant Journal

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It is generally recognized that many favorable genes which were lost during domestication, including those related to both nutritional value and stress resistance, remain hidden in wild relatives. To uncover such genes in teosinte, an ancestor of maize, we conducted metabolite profiling in a BC 2 F 7 population generated from a cross between the maize wild relative (Zea mays ssp. mexicana) and maize inbred line Mo17. In total, 65 primary metabolites were quantified in four tissues (seedling-stage leaf, grouting-stage leaf, young kernel and mature kernel) with clear tissue-specific patterns emerging. Three hundred and fifty quantitative trait loci (QTLs) for these metabolites were obtained, which were distributed unevenly across the genome and included two QTL hotspots. Metabolite concentrations frequently increased in the presence of alleles from the teosinte genome while the opposite was observed for grain yield and shape trait QTLs. Combination of the multi-tissue transcriptome and metabolome data provided considerable insight into the metabolic variations between maize and its wild relatives. This study thus identifies favorable genes hidden in the wild relative which should allow us to balance high yield and quality in future modern crop breeding programs.

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“…However, in some cases, this approach only narrows down the search to a genomic region with several candidate genes; for example, QDR to GLS at a locus on chromosome five was fine-mapped to a region with 15 genes (Xu et al, 2014). QDR to GLS on chromosome eight derived from teosinte was fine-mapped to a region with five genes (Zhang et al, 2017). In another study, association mapping was used to identify QTL for GLS resistance (Benson et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

De novo Assembly of Transcriptomes From a B73 Maize Line Introgressed With a QTL for Resistance to Gray Leaf Spot Disease Reveals a Candidate Allele of a Lectin Receptor-Like Kinase

et al. 2020

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Gray leaf spot (GLS) disease in maize, caused by the fungus Cercospora zeina, is a threat to maize production globally. Understanding the molecular basis for quantitative resistance to GLS is therefore important for food security. We developed a de novo assembly pipeline to identify candidate maize resistance genes. Near-isogenic maize lines with and without a QTL for GLS resistance on chromosome 10 from inbred CML444 were produced in the inbred B73 background. The B73-QTL line showed a 20% reduction in GLS disease symptoms compared to B73 in the field (p = 0.01). B73-QTL leaf samples from this field experiment conducted under GLS disease pressure were RNA sequenced. The reads that did not map to the B73 or C. zeina genomes were expected to contain novel defense genes and were de novo assembled. A total of 141 protein-coding sequences with B73-like or plant annotations were identified from the B73-QTL plants exposed to C. zeina. To determine whether candidate gene expression was induced by C. zeina, the RNAseq reads from C. zeina-challenged and control leaves were mapped to a master assembly of all of the B73-QTL reads, and differential gene expression analysis was conducted. Combining results from both bioinformatics approaches led to the identification of a likely candidate gene, which was a novel allele of a lectin receptor-like kinase named L-RLK-CML that (i) was induced by C. zeina, (ii) was positioned in the QTL region, and (iii) had functional domains for pathogen perception and defense signal transduction. The 817AA L-RLK-CML protein had 53 amino acid differences from its 818AA counterpart in B73. A second "B73like" allele of L-RLK was expressed at a low level in B73-QTL. Gene copy-specific RT-qPCR confirmed that the l-rlk-cml transcript was the major product induced fourfold by C. zeina. Several other expressed defense-related candidates were identified, including a wall-associated kinase, two glutathione s-transferases, a chitinase, a glucan Frontiers in Plant Science | www.frontiersin.org 1 March 2020 | Volume 11 | Article 191Welgemoed et al.Maize de novo Transcriptome QDR GLS beta-glucosidase, a plasmodesmata callose-binding protein, several other receptorlike kinases, and components of calcium signaling, vesicular trafficking, and ethylene biosynthesis. This work presents a bioinformatics protocol for gene discovery from de novo assembled transcriptomes and identifies candidate quantitative resistance genes.

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Fine mapping of a quantitative resistance gene for gray leaf spot of maize (Zea mays L.) derived from teosinte (Z. mays ssp. parviglumis)

Cited by 27 publications

References 54 publications

Maize Introgression Library Provides Evidence for the Involvement ofliguleless1in Resistance to Northern Leaf Blight

Maize Introgression Library Provides Evidence for the Involvement ofliguleless1in Resistance to Northern Leaf Blight

Large‐scale metabolite quantitative trait locus analysis provides new insights for high‐quality maize improvement

De novo Assembly of Transcriptomes From a B73 Maize Line Introgressed With a QTL for Resistance to Gray Leaf Spot Disease Reveals a Candidate Allele of a Lectin Receptor-Like Kinase

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