Mapping genomic regions controlling resistance to late wilt disease caused by Harpophora maydis in maize (Zea mays L.)

Rakesh, B.; Gangappa, E.; Gandhi, S. K.; Gowda, Rame; Swamy, S. Dharanendra; Ramesh, S.; Hemareddy, H. B.

doi:10.1007/s10681-022-03052-6

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…This disease, known as maize late wilt disease (LWD), has spread since its discovery (in the 1980s) and is now common in most corn-growing areas in Israel [ 8 ]. A similar scenario is prevalent in other countries, and the areas highly impacted by LWD now include Egypt [ 9 , 10 , 11 , 12 , 13 ], India [ 14 , 15 , 16 , 17 ], Portugal and Spain [ 18 , 19 , 20 , 21 , 22 ]. In some fields and in sensitive plant species, the disease can affect 100% of the plants [ 23 ].…”

Section: Introductionmentioning

confidence: 75%

“…At the same time, the primary means of reducing deterioration of the disease remains the breeding and cultivation of tolerant corn varieties [ 10 ]. The causes of resistance are unknown, but evidence points to the involvement of genetic factors, changes in the structure of the tissues, physiological differences, and differences in the dates of ripening and flowering as being related to the resistance/tolerance feature of the corn variety to LWD in corn [ 13 , 14 , 17 , 51 , 53 , 62 , 63 ].…”

Section: Discussionmentioning

confidence: 99%

“…Today, the main means of dealing with LWD is the cultivation of disease-resistant corn varieties [ 10 , 13 , 14 , 15 , 16 , 17 , 51 , 52 , 53 , 54 ]. This strategy is eco-friendly and cost-effective to implement but requires constant efforts to screen and identify new resistant corn hybrids.…”

Section: Introductionmentioning

confidence: 99%

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Cultivars Resistance Assay for Maize Late Wilt Disease

Degani

Yifa²,

Gordani

et al. 2022

Biology

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Magnaporthiopsis maydis late wilt disease (LWD) in corn is considered to be the most severe in Israel and Egypt and poses a significant threat in other countries. Research efforts extending over a period of five decades led to the development of chemical, biological, agrotechnical, physical (solar disinfection) and other means for controlling late wilt disease. Today, some applications can reduce damage even in severe cases. However, cultivating disease-resistant maize varieties is the primary means for reducing the disease’s impact. The current work uses a rapid (six days) laboratory seedling pathogenicity test and a full-season open encloser semi-field conditioned pots assay (101 days) to classify maize varieties according to their LWD resistance. To better evaluate differences between the cultivars, a real-time based molecular assay was applied to track the pathogen’s presence in the plants’ tissues, and visible light aerial imaging was used in parallel. The findings show that in cases of extreme sensitivity or tolerance (for example, in the highly susceptible Megaton cultivar (cv.) or the resistant Hatai cv.), a similarity in the results exists between the different methods. Thus, a reliable estimate of the varieties’ sensitivity can be obtained in a seed assay without the need for a test carried out throughout an entire growing season. At the same time, in most situations of partial or reduced LWD sensitivity/resistance, there is no match between the various tests, and only the entire growing season can provide the most reliable results. Tracking the amount of M. maydis DNA in the plants’ bodies is a precise, sensitive scientific tool of great importance for studying the development of the disease and the factors affecting it. Yet, no complete overlap exists between the fungal DNA amount and symptom severity. Such a correlation exists in high sensitivity or resistance cases but not in intermediate situations. Still, the valuation of the pathogen’s establishment in asymptomatic corn hybrids can indicate the degree of LWD immunity and the chance of susceptibility development.

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Section: Introductionmentioning

confidence: 75%

Section: Discussionmentioning

confidence: 99%

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Cultivars Resistance Assay for Maize Late Wilt Disease

Degani

Yifa²,

Gordani

et al. 2022

Biology

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“…The presence of significant di-QTL interactions detected in MP1 and MP2 revealed that all epistatic interactions resulted from interactions between loci with non-significant main effects. Rakesh et al (2022) and Sunitha et al (2022) also reported that epistatic interactions of QTL controlling late wilt resistance in maize were interactions between loci with non-significant main-effects. Similarly, Peng et al (2011) also reported epistatic interactions of QTL controlling grain yield and kernel-related traits in maize with non-significant main effects.…”

Section: Di-qtl Epistasismentioning

confidence: 98%

Mapping of QTL for resistance to fusarium stalk rot (FSR) in tropical maize (Zea mays L.)

Babu,

Lohithaswa,

Mallikarjuna

et al. 2024

IJGPB

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Fusarium stalk rot disease (FSR) caused by Fusarium verticilloides is emerging as the major production constraint in maize across theworld.As a prelude to developing maize hybrids resistant to FSR, an attempt was made to identify QTL as the genetics of resistancewas found to be quantitative in nature.Two doubled haploid (DH) mapping populations induced from F2 of crosses VL1043 × CM212and VL121096 × CM202 were challenged with FSR during two seasons. The FSR response was influenced by significant DHs × seasoninteraction. The DH populations were genotyped employing 199 and 193 polymorphic SNP markers in the DHs induced from the crosses VL1043 × CM212 and VL121096 × CM202, respectively. Inclusive composite interval mapping was performed to detect significant QTL, QTL × QTL, QTL × season interaction effects. Two and one QTL were identified in the rainy season of 2019 and winter 2019-20, respectively. The QTL identified in the linkage group 10 (qFSR_10_1) was common across two seasons in DHs derived from the cross VL1043 × CM212. Similarly, two QTL were identified for FSR resistance in DHs derived from the cross VL121096 × CM202 and one QTL (qFSR_6_2) was common. The QTL qFSR_10_1 was common in both the crosses. The position and effect of the QTL varied with the seasons. Seven di-QTL interactions were detected for FSR resistance in both DH populations.

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Marker-assisted mapping and backcross breeding for late wilt disease resistance in NAI-137, the seed parent of public bred single cross maize (Zea mays L.) hybrid Hema

Gangappa,

Ramesh

et al. 2024

Preprint

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Development and deployment of late wilt disease (LWD) resistant cultivar(s) is a cost-effective and eco-friendly strategy to reduce losses due to LWD. DNA markers could be potential surrogates for selection of complexly inherited resistance to LWD. Two linkage maps were constructed using the genotypic data of 64 and 40 polymorphic SSR markers on BC1F1 populations derived from NAI-137×97B and NAI-137×MAI-345, respectively. Three main effect-QTL were detected on chromosomes 1, 4 and 10 in NAI-137×97B, while one QTL on chromosome 9 in NAI-137×MAI-345. Therefore, only the BC1F1 population of NAI-137×97B was back-crossed to NAI-137. Linkage map was constructed in BC2F1 population using the genotypic data of 64 SSR, 3456 unbinned-SNP and 104 binned-SNP + 64 SSR markers in combination. A total of 5, 2 and 11 main effect-QTL were detected on SSR, unbinned-SNP and binned-SNP + SSR based QTL maps, respectively. In NAI-137×97B derived BC1F1 and BC2F1, 2 QTL on chromosomes 4 and 10 flanked by common SSR markers i.e., mmc0371 and umc2350, respectively were detected. Sixteen NAI-137×97B derived BC1F1 plants carried QTL controlling LWD resistance with > 80% recovery of recipient parent genome and LWD score ≤ 4. Ten NAI-137×97B derived BC2F1 plants carried QTL controlling LWD resistance with > 90% recovery of recipient parent genome and LWD score ≤ 3. They were selfed and evaluated for response to LWD. Three BC2F2 families (BC2F2-84, BC2F2-88 and BC2F2-179) with LWD score 2, lower than the donor parent (NAI-137, LWD score 8) were identified. LWD resistant version of NAI-137 developed from the present study shall be used to cross with MAI-105 (the male parent of maize hybrid Hema) to generate improvised “Hema” after evaluating the grain yield potential in comparison to original “Hema” hybrid.

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Mapping genomic regions controlling resistance to late wilt disease caused by Harpophora maydis in maize (Zea mays L.)

Cited by 6 publications

References 25 publications

Cultivars Resistance Assay for Maize Late Wilt Disease

Cultivars Resistance Assay for Maize Late Wilt Disease

Mapping of QTL for resistance to fusarium stalk rot (FSR) in tropical maize (Zea mays L.)

Marker-assisted mapping and backcross breeding for late wilt disease resistance in NAI-137, the seed parent of public bred single cross maize (Zea mays L.) hybrid Hema

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