Meta‐Analysis of QTL Studies for Resistance to Fungi and Viruses in Maize

Rossi, Ezequiel; Ruiz, M.; Calderón, M. Angélica Rueda; Bruno, Cecilia; Bonamico, N. C.; Balzarini, Mónica

doi:10.2135/cropsci2018.05.0330

Cited by 23 publications

(20 citation statements)

References 128 publications

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“…In addition, certain breeding schemes may be more suitable for specific diseases than others, for example, depending on R gene or QTL distribution patterns within the chromosomes of maize, specifically if they are clustered (Wisser et al, 2006). A recent meta‐analysis of 110 published studies reported 1,080 QTLs associated with disease resistance to fungi and viruses (Rossi et al, 2019). These are distributed over all 10 chromosomes, illustrating the complex nature of disease resistance breeding in terms of genetics and genomics.…”

Section: Leaf Disease Resistance Breeding Approachesmentioning

confidence: 99%

Global warming and increasing maize cultivation demand comprehensive efforts in disease and insect resistance breeding in north‐western Europe

Miedaner

Juroszek²

2021

Plant Pathology

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Maize productivity is threatened by global climate change. Climate change scenarios suggest that north‐western (NW) Europe will get warmer and drier during the main crop‐growing period. In general, more northerly regions will benefit, whereas more southerly regions will suffer suboptimal rain‐fed farming conditions. In these latter regions in particular, the resulting probable lower realized on‐farm maize grain and biomass yields must be safeguarded. Breeding for resistance against already existing and emerging diseases and insect pests is one component to achieve yield stability across years. Durable multiple‐disease resistance will become especially crucial. Herein, we focus on disease resistance breeding approaches in maize, especially related to northern corn leaf blight and Fusarium ear rots, although virus and bacterial diseases will become more important as well. Continuous adjustments of disease resistance breeding strategies will be required. Insect pest resistance breeding must be improved considerably, as in a warmer world insects will thrive, probably causing detrimental direct (feeding, sucking, etc.) and indirect (vectors of pathogens, feeding wounds creating gateways for many pathogens, passive transport of inoculum across maize plants) effects. Four case studies on insects that are already prevalent in NW Europe or may be expected in the near future are covered in this review. Maize cultivars need to combine both durable multiple‐disease and multiple‐insect resistance, although the implementation of many different effective resistance resources in breeding programmes will be challenging, particularly if trade‐offs among breeding goals appear.

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Section: Leaf Disease Resistance Breeding Approachesmentioning

confidence: 99%

Global warming and increasing maize cultivation demand comprehensive efforts in disease and insect resistance breeding in north‐western Europe

Miedaner

Juroszek²

2021

Plant Pathology

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“…The meta‐analysis and systematic review of QTL studies for resistance to fungi and viruses in maize performed by Rossi et al. (2019) identified several studies on viral diseases. All of them evaluated INC and SEV independently or by combining the traits in multivariate indexes such as the disease severity index (DSI) (Chen, Wang, Hao, Yan, & Ding, 2015; Shi et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

Genome‐wide association study of resistance to Mal de Río Cuarto disease in maize

et al. 2020

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Argentine maize has been extensively screened for incidence (INC) and severity (SEV) of Mal de Río Cuarto disease (MRC), caused by Mal de Río Cuarto virus (MRCV), family Reoviridae, genus Fijivirus, narrowing the breeding genetic basis. Both traits are highly heritable phenotypic measurements, and quantify the strong disease impact on grain yield. The adaptation of exotic germplasm to variation of those traits has not been explored. The aim of this work was to identify, in a non-local and diverse panel of maize inbred lines, novel genomic regions associated with resistance to MRC. First, we phenotyped 206 maize inbred lines from the International Maize and Wheat Improvement Center (CIMMYT), in several environments of the MRC-endemic area under natural virus infection, to obtain the best linear unbiased predictor (BLUP) of line effects regarding INC and SEV. A multi-environment and multi-trait mixed linear model was fitted to derive the multivariate BLUPs. Genetic variance and mean-basis heritability were high in both traits and a significant genetic correlation among them was found. Second, we performed a genome-wide association study (GWAS) by linking the BLUPs with 78,376 SNP markers available for 186 lines. The GWAS identified new alleles for resistance to MRC in six genomic regions from the exotic germoplasm. Four of them reduce symultaneously the appearance and severity of disease symptoms. Improved susceptible parental lines through marker-assisted recurrent selection would allow us to increase the resistance of maize hybrids to MRC disease. 1 INTRODUCTION Cultivated maize (Zea mays ssp. mays) was domesticated from teosinte and is one of the most widely used model plant species for fundamental research because of its wide phenotypic and genotypic diversity (Liu, Fernie, & Yan, 2020). An important viral disease of maize is Mal de Río Cuarto (MRC), which is caused by Mal de Río Cuarto virus (MRCV), family Reoviridae, genus Fijivirus (Milne, del Vas, Harding, Marzachí, & Mertens, 2005). MRC is an endemic disease in Argentina and is only transmitted by plant-hoppers in a persistent propagative manner (Arneodo, Lorenzo, Laguna, Abdala,

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“…The latter study demonstrated that many QTLs are not randomly distributed over the maize genome, but clustered in specific regions. More recently, this trend was confirmed by organizing the distribution of 1080 QTLs for disease resistances mapped in 110 studies [ 113 ]. Chromosome 1 and 3 were revealed carrying the highest proportion of QTLs for resistance.…”

Section: Detection Of Multi-disease Resistance (Mdr)mentioning

confidence: 82%

“…Currently, a multiple diseases approach instead of analyzing single disease resistances is increasingly getting attention. Different authors combined the localization of single-disease QTLs finding candidate regions for MDR on the following bins: 1.02, 1.05/1.06, 3.04, 4.06, 7.02, 8.03, 8.05 and 9.02 [ 29 , 90 , 100 , 113 , 114 , 115 , 116 , 117 ]. Some of these regions overlap with hotspots for resistance to NCLB presented in Figure 2 .…”

Section: Detection Of Multi-disease Resistance (Mdr)mentioning

confidence: 99%

Genomics-Assisted Breeding for Quantitative Disease Resistances in Small-Grain Cereals and Maize

Miedaner

Boeven

Gaikpa

et al. 2020

IJMS

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Generating genomics-driven knowledge opens a way to accelerate the resistance breeding process by family or population mapping and genomic selection. Important prerequisites are large populations that are genomically analyzed by medium- to high-density marker arrays and extensive phenotyping across locations and years of the same populations. The latter is important to train a genomic model that is used to predict genomic estimated breeding values of phenotypically untested genotypes. After reviewing the specific features of quantitative resistances and the basic genomic techniques, the possibilities for genomics-assisted breeding are evaluated for six pathosystems with hemi-biotrophic fungi: Small-grain cereals/Fusarium head blight (FHB), wheat/Septoria tritici blotch (STB) and Septoria nodorum blotch (SNB), maize/Gibberella ear rot (GER) and Fusarium ear rot (FER), maize/Northern corn leaf blight (NCLB). Typically, all quantitative disease resistances are caused by hundreds of QTL scattered across the whole genome, but often available in hotspots as exemplified for NCLB resistance in maize. Because all crops are suffering from many diseases, multi-disease resistance (MDR) is an attractive aim that can be selected by specific MDR QTL. Finally, the integration of genomic data in the breeding process for introgression of genetic resources and for the improvement within elite materials is discussed.

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Meta‐Analysis of QTL Studies for Resistance to Fungi and Viruses in Maize

Abstract: Abbreviations: MAS, marker-assisted selection; OR, odds ratio; QTL, quantitative trait locus/loci.

Cited by 23 publications

References 128 publications

Global warming and increasing maize cultivation demand comprehensive efforts in disease and insect resistance breeding in north‐western Europe

Global warming and increasing maize cultivation demand comprehensive efforts in disease and insect resistance breeding in north‐western Europe

Genome‐wide association study of resistance to Mal de Río Cuarto disease in maize

Genomics-Assisted Breeding for Quantitative Disease Resistances in Small-Grain Cereals and Maize

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