Browsing by Subject "Northern corn leaf blight (NCLB)"

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Genetic diversity, population structure, and linkage disequilibrium in the context of genome-wide association mapping of northern corn leaf blight resistance
(2012) van Inghelandt, Delphine; Melchinger, Albrecht E.
Besides linkage mapping, association mapping (AM) has become a powerful complement for understanding the genetic basis of complex traits. AM utilizes the natural genetic diversity and the linkage disequilibrium (LD) present in a diverse germplasm set. Setosphaeria turcica is a fungal pathogen that causes northern corn leaf blight (NCLB) in maize. The objective of this thesis research was to set the stage for and perform AM in elite maize breeding populations for NCLB resistance. Information about the genetic diversity and population structure in elite breeding material is of fundamental importance for the improvement of crops. The objectives of my study were to (i) examine the population structure and the genetic diversity in elite maize germplasm based on simple sequence repeat (SSR) markers, (ii) compare these results with those obtained from single nucleotide polymorphism (SNP) markers, and (iii) compare the coancestry coefficient calculated from pedigree records with genetic distance estimates calculated from SSR and SNP markers. The study was based on 1 537 elite maize inbred lines genotyped with 359 SSR and 8 244 SNP markers. My results indicated that both SSR and SNP markers are suitable for uncovering population structure. The same conclusions regarding the structure and the diversity of heterotic pools can be drawn from both markers types. However, fewer SSRs as SNPs are required for this goal, which facilitates the computations, for instance by the STRUCTURE software. Finally, the findings indicated that under the assumption of a fixed budget, modified Roger?s distances and gene diversity could be more precisely estimated with SNPs than with SSRs, and we proposed that between 7 and 11 times more SNPs than SSRs should be used for analyzing population structure and genetic diversity. Association mapping is based on LD shaped by historical recombinations. Many factors affect LD and, therefore, it must be determined empirically in the germplasm under investigation to examine the prospects of genomewide association mapping studies. The objectives of my study were to (i) examine the extent of LD with SSR and SNP markers in 1 537 commercial maize inbred lines belonging to four heterotic pools, (ii) compare the LD patterns determined by these two marker types, (iii) evaluate the number of SNP markers needed to perform genome-wide association analyses, and (iv) investigate temporal trends of LD. The results suggested that SNP markers of the examined density, unlike SSR markers, can be used effectively for association studies in commercial maize germplasm. Based on the decay of LD in the various heterotic pools, between 4 000 and 65 000 SNP markers would be needed to detect with a reasonable power associations with rather large quantitative trait loci (QTL). The 60 K SNP chip currently available for maize seems appropriate to identify QTLs that explain at least 10% of the phenotypic variance. However, to identify QTLs with smaller effects, which is a realistic situation for most traits of interest to maize breeders, a much higher marker density is required. NCLB is a serious foliar disease in maize. In order to unravel the genetic architecture of the resistance against this disease, a vast association mapping panel comprising 1 487 European maize inbred lines was used to (i) identify chromosomal regions affecting flowering time (FT) and NCLB resistance, (ii) examine the epistatic interactions of the identified chromosomal regions with the genetic background on an individual molecular marker basis, and (iii) dissect the correlation between NCLB resistance and FT. We observed for FT, a trait for which already various genetic analyses have been performed in maize, a very well interpretable pattern of SNP associations, suggesting that data from practical plant breeding programs can be used to dissect polygenic traits. Furthermore, we described SNPs associated with NCLB and NCLB corrected for FT resistance that are located in genes for which a direct link to the trait is discernable or which are located in bins of the maize genome for which previously QTLs have been reported. Some of the SNPs showed significant epistatic interactions with markers from the genetic background. The observation that the listed SNPs and their epistatic interactions explained in the entire germplasm set about 10% and in some individual heterotic pools up to 30% of the genetic variance suggests that significant progress towards improving the resistance of maize against NCLB by marker-assisted selection is possible with these markers, without much compromising on late flowering time. Furthermore, these regions are interesting for further research to understand the mechanisms of resistance against NCLB and diseases in general, because some of the genes identified have not been annotated so far for these functions.
Genomics-assisted breeding strategies for quantitative resistances to Northern corn leaf blight in maize (Zea mays L.) and Fusarium diseases in maize and in triticale (× Triticosecale Wittm.)
(2021) Galiano Carneiro, Ana Luísa; Miedaner, Thomas
Fusarium head blight (FHB) in triticale (× Triticosecale Wittm.), Gibberella ear rot (GER) and Northern corn leaf blight (NCLB) in maize (Zea mays L.) are devastating crop diseases causing yield losses and/or reducing grain quality worldwide. Resistance breeding is the most efficient and sustainable approach to reduce the damages caused by these diseases. For all three pathosystems, a quantitative inheritance based on many genes with small effects has been described in previous studies. Hence, this thesis aimed to assess the potential of genomics-assisted breeding strategies to reduce FHB, GER and NCLB in applied breeding programs. In particular, the objectives were to: (i) Dissect the genetic architecture underlying quantitative variation for FHB, GER and NCLB through different quantitative trait loci (QTL) and association mapping approaches; (ii) assess the potential of genomics-assisted selection to select superior triticale genotypes harboring FHB resistance; (iii) phenotype and characterize Brazilian resistance donors conferring resistance to GER and NCLB in multi-environment trials in Brazil and in Europe; and (iv) evaluate approaches for the introgression and integration of NCLB and GER resistances from tropical to adapted germplasm. The genome-wide association study (GWAS) conducted for FHB resistance in triticale revealed six QTL that reduced damages by 5 to 8%. The most prominent QTL identified in our study was mapped on chromosome 5B and explained 30% of the genotypic variance. To evaluate the potential of genomic selection (GS), we performed a five-fold cross-validation study. Here, weighted genomic selection increased the prediction accuracy from 0.55 to 0.78 compared to the non-weighted GS model, indicating the high potential of the weighted genomic selection approach. The successful application of GS requires large training sets to develop robust models. However, large training sets based on the target trait deoxynivalenol (DON) are usually not available. Due to the rather moderate correlation between FHB and DON, we recommend a negative selection based on genomic estimated breeding values (GEBVs) for FHB severity in early breeding stages. In the long-run, however, we encourage breeders to build and test GS calibrations for DON content in triticale. The genetic architecture of GER caused by Fusarium graminearum in maize was investigated in Brazilian tropical germplasm in multi-environment trials. We observed high genotype-by-environment interactions which requires trials in many environments for the identification of stable QTL. We identified four QTL that explained between 5 to 22% of the genotypic variance. Most of the resistance alleles identified in our study originated from the Brazilian tropical parents indicating the potential of this exotic germplasm as resistance source. The QTL located on chromosome bin 1.02 was identified both in Brazilian and in European trials, and across all six biparental populations. This QTL is likely stable, an important feature for its successful employment across different genetic backgrounds and environments. This stable QTL is a great candidate for validation and fine mapping, and subsequent introgression in European germplasm but possible negative linkage drag should be tackled. NCLB is another economically important disease in maize and the most devastating leaf disease in maize grown in Europe. Virulent races have already overcome the majority of known qualitative resistances. Therefore, a constant monitoring of S. turcica races is necessary to assist breeders on the choice of effective resistances in each target environment. We investigated the genetic architecture of NCLB in Brazilian tropical germplasm and identified 17 QTL distributed along the ten chromosomes of maize explaining 4 to 31% of the trait genotypic variance each. Most of the alleles reducing the infections originated from Brazilian germplasm and reduced NCLB between 0.3 to 2.5 scores in the 1-9 severity scale, showing the potential of Brazilian germplasm to reduce not only GER but also NCLB severity in maize. These QTL were identified across a wide range of environments comprising different S. turcica race compositions indicating race non-specific resistance and most likely stability. Indeed, QTL 7.03 and 9.03/9.04 were identified both in Brazil and in Europe being promising candidates for trait introgression. These major and stable QTL identified for GER and NCLB can be introgressed into elite germplasm by marker-assisted selection. Subsequently, an integration step is necessary to account for possible negative linkage drag. A rapid genomics-assisted breeding approach for the introgression and integration of exotic into adapted germplasm has been proposed in this thesis. Jointly, our results demonstrate the high potential of genomics-assisted breeding strategies to efficiently increase the quantitative resistance levels of NCLB in maize and Fusarium diseases in maize and in triticale. We identified favorable QTL to increase resistance levels in both crops. In addition, we successfully characterized Brazilian germplasm for GER and NCLB resistances. After validation and fine mapping, the introgression and integration of the QTL identified in this study might contribute to the release of resistant cultivars, an important pillar to cope with global food security.