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Jadhav KP, Saykhedkar GR, Tamilarasi PM, Devasree S, Ranjani RV, Sarankumar C, Bharathi P, Karthikeyan A, Arulselvi S, Vijayagowri E, Ganesan KN, Paranidharan V, Nair SK, Babu R, Ramalingam J, Raveendran M, Senthil N. GBS-Based SNP Map Pinpoints the QTL Associated With Sorghum Downy Mildew Resistance in Maize (Zea mays L.). Front Genet 2022; 13:890133. [PMID: 35937985 PMCID: PMC9348272 DOI: 10.3389/fgene.2022.890133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 06/13/2022] [Indexed: 12/04/2022] Open
Abstract
Sorghum downy mildew (SDM), caused by the biotrophic fungi Peronosclerospora sorghi, threatens maize production worldwide, including India. To identify quantitative trait loci (QTL) associated with resistance to SDM, we used a recombinant inbred line (RIL) population derived from a cross between resistant inbred line UMI936 (w) and susceptible inbred line UMI79. The RIL population was phenotyped for SDM resistance in three environments [E1-field (Coimbatore), E2-greenhouse (Coimbatore), and E3-field (Mandya)] and also utilized to construct the genetic linkage map by genotyping by sequencing (GBS) approach. The map comprises 1516 SNP markers in 10 linkage groups (LGs) with a total length of 6924.7 cM and an average marker distance of 4.57 cM. The QTL analysis with the phenotype and marker data detected nine QTL on chromosome 1, 2, 3, 5, 6, and 7 across three environments. Of these, QTL namely qDMR1.2, qDMR3.1, qDMR5.1, and qDMR6.1 were notable due to their high phenotypic variance. qDMR3.1 from chromosome 3 was detected in more than one environment (E1 and E2), explaining the 10.3% and 13.1% phenotypic variance. Three QTL, qDMR1.2, qDMR5.1, and qDMR6.1 from chromosomes 1, 5, and 6 were identified in either E1 or E3, explaining 15.2%–18% phenotypic variance. Moreover, genome mining on three QTL (qDMR3.1, qDMR5.1, and qDMR6.1) reveals the putative candidate genes related to SDM resistance. The information generated in this study will be helpful for map-based cloning and marker-assisted selection in maize breeding programs.
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Affiliation(s)
- Kashmiri Prakash Jadhav
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Gajanan R. Saykhedkar
- Asian Regional Maize Program, International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, India
| | | | - Subramani Devasree
- Department of Millets, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, India
| | - Rajagopalan Veera Ranjani
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Chandran Sarankumar
- Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
| | - Pukalenthy Bharathi
- Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
| | - Adhimoolam Karthikeyan
- Department of Biotechnology, Centre of Innovation, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
| | - Soosai Arulselvi
- Agricultural College and Research Institute, Thanjavur, Tamil Nadu Agricultural University, Thanjavur, India
| | - Esvaran Vijayagowri
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Kalipatty Nalliappan Ganesan
- Department of Forage Crops, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, India
| | - Vaikuntavasan Paranidharan
- Department of Plant Pathology, Centre for Plant Protection Studies, Tamil Nadu Agricultural University, Coimbatore, India
| | - Sudha K. Nair
- Asian Regional Maize Program, International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, India
| | - Raman Babu
- Corteva Agrisciences, Multi Crop Research Centre, Hyderabad, India
| | - Jegadeesan Ramalingam
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Muthurajan Raveendran
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
| | - Natesan Senthil
- Department of Biotechnology, Centre of Innovation, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai, India
- Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, India
- *Correspondence: Natesan Senthil,
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Kim HC, Kim KH, Song K, Kim JY, Lee BM. Identification and Validation of Candidate Genes Conferring Resistance to Downy Mildew in Maize ( Zea mays L.). Genes (Basel) 2020; 11:E191. [PMID: 32053973 PMCID: PMC7074223 DOI: 10.3390/genes11020191] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 02/05/2020] [Accepted: 02/05/2020] [Indexed: 11/16/2022] Open
Abstract
Downy mildew (DM) is a major disease of maize that causes significant yield loss in subtropical and tropical regions around the world. A variety of DM strains have been reported, and the resistance to them is polygenically controlled. In this study, we analyzed the quantitative trait loci (QTLs) involved in resistance to Peronosclerospora sorghi (sorghum DM), P. maydis (Java DM), and Sclerophthora macrospora (crazy top DM) using a recombinant inbred line (RIL) from a cross between B73 (susceptible) and Ki11 (resistant), and the candidate genes for P. sorghi, P. maydis, and S. macrospora resistance were discovered. The linkage map was constructed with 234 simple sequence repeat (SSR) and restriction fragment length polymorphism (RFLP) markers, which was identified seven QTLs (chromosomes 2, 3, 6, and 9) for three DM strains. The major QTL, located on chromosome 2, consists of 12.95% of phenotypic variation explained (PVE) and a logarithm of odds (LOD) score of 14.12. Sixty-two candidate genes for P. sorghi, P. maydis, and S. macrospora resistance were obtained between the flanked markers in the QTL regions. The relative expression level of candidate genes was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) using resistant (CML228, Ki3, and Ki11) and susceptible (B73 and CML270) genotypes. For the 62 candidate genes, 15 genes were upregulated in resistant genotypes. Among these, three (GRMZM2G028643, GRMZM2G128315, and GRMZM2G330907) and AC210003.2_FG004 were annotated as leucine-rich repeat (LRR) and peroxidase (POX) genes, respectively. These candidate genes in the QTL regions provide valuable information for further studies related to P. sorghi, P. maydis, and S. macrospora resistance.
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Affiliation(s)
- Hyo Chul Kim
- Department of Life Science, Dongguk University-Seoul, Seoul 04620, Korea; (H.C.K.); (K.-H.K.); (K.S.)
| | - Kyung-Hee Kim
- Department of Life Science, Dongguk University-Seoul, Seoul 04620, Korea; (H.C.K.); (K.-H.K.); (K.S.)
| | - Kitae Song
- Department of Life Science, Dongguk University-Seoul, Seoul 04620, Korea; (H.C.K.); (K.-H.K.); (K.S.)
| | - Jae Yoon Kim
- Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan 32439, Korea;
| | - Byung-Moo Lee
- Department of Life Science, Dongguk University-Seoul, Seoul 04620, Korea; (H.C.K.); (K.-H.K.); (K.S.)
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Rashid Z, Singh PK, Vemuri H, Zaidi PH, Prasanna BM, Nair SK. Genome-wide association study in Asia-adapted tropical maize reveals novel and explored genomic regions for sorghum downy mildew resistance. Sci Rep 2018; 8:366. [PMID: 29321632 PMCID: PMC5762920 DOI: 10.1038/s41598-017-18690-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 12/15/2017] [Indexed: 11/28/2022] Open
Abstract
Globally, downy mildews are among the important foliar diseases of maize that cause significant yield losses. We conducted a genome-wide association study for sorghum downy mildew (SDM; Peronosclerospora sorghi) resistance in a panel of 368 inbred lines adapted to the Asian tropics. High density SNPs from Genotyping-by-sequencing were used in GWAS after controlling for population structure and kinship in the panel using a single locus mixed model. The study identified a set of 26 SNPs that were significantly associated with SDM resistance, with Bonferroni corrected P values ≤ 0.05. Among all the identified SNPs, the minor alleles were found to be favorable to SDM resistance in the mapping panel. Trend regression analysis with 16 independent genetic variants including 12 SNPs and four haplotype blocks identified SNP S2_6154311 on chromosome 2 with P value 2.61E-24 and contributing 26.7% of the phenotypic variation. Six of the SNPs/haplotypes were within the same chromosomal bins as the QTLs for SDM resistance mapped in previous studies. Apart from this, eight novel genomic regions for SDM resistance were identified in this study; they need further validation before being applied in the breeding pipeline. Ten SNPs identified in this study were co-located in reported mildew resistance genes.
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Affiliation(s)
- Zerka Rashid
- International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, Greater Hyderabad, 502324, India
| | - Pradeep Kumar Singh
- International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, Greater Hyderabad, 502324, India
| | - Hindu Vemuri
- International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, Greater Hyderabad, 502324, India
| | - Pervez Haider Zaidi
- International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, Greater Hyderabad, 502324, India
| | - Boddupalli Maruthi Prasanna
- International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, Nairobi, 00621, Kenya
| | - Sudha Krishnan Nair
- International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Patancheru, Greater Hyderabad, 502324, India.
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Kim JY, Moon JC, Kim HC, Shin S, Song K, Kim KH, Lee BM. Identification of downy mildew resistance gene candidates by positional cloning in maize ( Zea mays subsp. mays; Poaceae). APPLICATIONS IN PLANT SCIENCES 2017; 5:apps1600132. [PMID: 28224059 PMCID: PMC5315382 DOI: 10.3732/apps.1600132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 12/21/2016] [Indexed: 06/06/2023]
Abstract
PREMISE OF THE STUDY Positional cloning in combination with phenotyping is a general approach to identify disease-resistance gene candidates in plants; however, it requires several time-consuming steps including population or fine mapping. Therefore, in the present study, we suggest a new combined strategy to improve the identification of disease-resistance gene candidates. METHODS AND RESULTS Downy mildew (DM)-resistant maize was selected from five cultivars using a spreader row technique. Positional cloning and bioinformatics tools were used to identify the DM-resistance quantitative trait locus marker (bnlg1702) and 47 protein-coding gene annotations. Eventually, five DM-resistance gene candidates, including bZIP34, Bak1, and Ppr, were identified by quantitative reverse-transcription PCR (RT-PCR) without fine mapping of the bnlg1702 locus. CONCLUSIONS The combined protocol with the spreader row technique, quantitative trait locus positional cloning, and quantitative RT-PCR was effective for identifying DM-resistance candidate genes. This cloning approach may be applied to other whole-genome-sequenced crops or resistance to other diseases.
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Affiliation(s)
- Jae Yoon Kim
- Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan 32439, Republic of Korea
| | - Jun-Cheol Moon
- Agriculture and Life Science Research Institute, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Hyo Chul Kim
- Department of Life Science, Dongguk University–Seoul, Seoul 04620, Republic of Korea
| | - Seungho Shin
- Department of Life Science, Dongguk University–Seoul, Seoul 04620, Republic of Korea
| | - Kitae Song
- Department of Life Science, Dongguk University–Seoul, Seoul 04620, Republic of Korea
| | - Kyung-Hee Kim
- Department of Life Science, Dongguk University–Seoul, Seoul 04620, Republic of Korea
| | - Byung-Moo Lee
- Department of Life Science, Dongguk University–Seoul, Seoul 04620, Republic of Korea
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Identification and introgression of QTLs implicated in resistance to sorghum downy mildew (Peronosclerospora sorghi (Weston and Uppal) C. G. Shaw) in maize through marker-assisted selection. J Genet 2015; 94:741-8. [PMID: 26690530 DOI: 10.1007/s12041-015-0590-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Sorghum downy mildew caused by Peronosclerospora sorghi is a major disease of maize and resistance is under the control of polygenes which necessitated identification of quantitative-trait loci (QTLs) for initiating marker-assisted introgression of resistant QTLs in elite susceptible inbred lines. In the present study, QTLs for sorghum downy mildew (SDM) resistance in maize were identified based on cosegregation with linked simple sequence repeats in 185 F2 progeny from a cross between susceptible (CM500-19) and resistant (MAI105) parents. F3 families were screened in the National Sorghum Downy Mildew Screening Nursery during 2010 and 2011. High heritability was observed for the disease reaction. The final map generated using 87 SSR markers had 10 linkage groups, spanning a length of 1210.3 cM. Although, we used only 87 SSR markers for mapping, the per cent of genome within 20 cM to the nearest marker was 88.5. Three putative QTLs for SDM resistance were located on chromosomes 3 (bin 3.01), 6 (bin 6.01) and 2 (bin 2.02) using composite interval mapping. The locus on chromosome 3 had a major effect and explained up to 12.6% of the phenotypic variation. The other two QTLs on chromosomes 6 and 2 had minor effects with phenotypic variation of 7.1 and 2%. The three QTLs appeared to have additive effects on resistance. The QTLs on chromosomes 3 and 6 were successfully used in the marker-assisted selection programme for introgression of resistance to SDM in eight susceptible maize lines.
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Anami SE, Zhang L, Xia Y, Zhang Y, Liu Z, Jing H. Sweet sorghum ideotypes: genetic improvement of stress tolerance. Food Energy Secur 2015. [DOI: 10.1002/fes3.54] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Sylvester Elikana Anami
- Key Laboratory of Plant Resources Institute of Botany Chinese Academy of Sciences Beijing 100093 China
- Institute of Biotechnology Research Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
| | - Li‐Min Zhang
- Key Laboratory of Plant Resources Institute of Botany Chinese Academy of Sciences Beijing 100093 China
| | - Yan Xia
- Key Laboratory of Plant Resources Institute of Botany Chinese Academy of Sciences Beijing 100093 China
| | - Yu‐Miao Zhang
- Key Laboratory of Plant Resources Institute of Botany Chinese Academy of Sciences Beijing 100093 China
| | - Zhi‐Quan Liu
- Key Laboratory of Plant Resources Institute of Botany Chinese Academy of Sciences Beijing 100093 China
| | - Hai‐Chun Jing
- Key Laboratory of Plant Resources Institute of Botany Chinese Academy of Sciences Beijing 100093 China
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QTL Mapping and Candidate Gene Analysis of Telomere Length Control Factors in Maize (Zea mays L.). G3-GENES GENOMES GENETICS 2011; 1:437-50. [PMID: 22384354 PMCID: PMC3276162 DOI: 10.1534/g3.111.000703] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2011] [Accepted: 09/16/2011] [Indexed: 11/30/2022]
Abstract
Telomere length is a quantitative trait important for many cellular functions. Failure to regulate telomere length contributes to genomic instability, cellular senescence, cancer, and apoptosis in humans, but the functional significance of telomere regulation in plants is much less well understood. To gain a better understanding of telomere biology in plants, we used quantitative trait locus (QTL) mapping to identify genetic elements that control telomere length variation in maize (Zea mays L.). For this purpose, we measured the median and mean telomere lengths from 178 recombinant inbred lines of the IBM mapping population and found multiple regions that collectively accounted for 33–38% of the variation in telomere length. Two-way analysis of variance revealed interaction between the quantitative trait loci at genetic bin positions 2.09 and 5.04. Candidate genes within these and other significant QTL intervals, along with select genes known a priori to regulate telomere length, were tested for correlations between expression levels and telomere length in the IBM population and diverse inbred lines by quantitative real-time PCR. A slight but significant positive correlation between expression levels and telomere length was observed for many of the candidate genes, but Ibp2 was a notable exception, showing instead a negative correlation. A rad51-like protein (TEL-MD_5.04) was strongly supported as a candidate gene by several lines of evidence. Our results highlight the value of QTL mapping plus candidate gene expression analysis in a genetically diverse model system for telomere research.
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Khedikar YP, Gowda MVC, Sarvamangala C, Patgar KV, Upadhyaya HD, Varshney RK. A QTL study on late leaf spot and rust revealed one major QTL for molecular breeding for rust resistance in groundnut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2010; 121:971-84. [PMID: 20526757 PMCID: PMC2921499 DOI: 10.1007/s00122-010-1366-x] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2009] [Accepted: 05/15/2010] [Indexed: 05/04/2023]
Abstract
Late leaf spot (LLS) and rust are two major foliar diseases of groundnut (Arachis hypogaea L.) that often occur together leading to 50-70% yield loss in the crop. A total of 268 recombinant inbred lines of a mapping population TAG 24 x GPBD 4 segregating for LLS and rust were used to undertake quantitative trait locus (QTL) analysis. Phenotyping of the population was carried out under artificial disease epiphytotics. Positive correlations between different stages, high to very high heritability and independent nature of inheritance between both the diseases were observed. Parental genotypes were screened with 1,089 simple sequence repeat (SSR) markers, of which 67 (6.15%) were found polymorphic. Segregation data obtained for these markers facilitated development of partial linkage map (14 linkage groups) with 56 SSR loci. Composite interval mapping (CIM) undertaken on genotyping and phenotyping data yielded 11 QTLs for LLS (explaining 1.70-6.50% phenotypic variation) in three environments and 12 QTLs for rust (explaining 1.70-55.20% phenotypic variation). Interestingly a major QTL associated with rust (QTL(rust)01), contributing 6.90-55.20% variation, was identified by both CIM and single marker analysis (SMA). A candidate SSR marker (IPAHM 103) linked with this QTL was validated using a wide range of resistant/susceptible breeding lines as well as progeny lines of another mapping population (TG 26 x GPBD 4). Therefore, this marker should be useful for introgressing the major QTL for rust in desired lines/varieties of groundnut through marker-assisted backcrossing.
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Affiliation(s)
- Y. P. Khedikar
- University of Agricultural Sciences (UAS), Krishinagar, Dharwad, 580 005 Karnataka India
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324 Andhra Pradesh India
| | - M. V. C. Gowda
- University of Agricultural Sciences (UAS), Krishinagar, Dharwad, 580 005 Karnataka India
| | - C. Sarvamangala
- University of Agricultural Sciences (UAS), Krishinagar, Dharwad, 580 005 Karnataka India
| | - K. V. Patgar
- University of Agricultural Sciences (UAS), Krishinagar, Dharwad, 580 005 Karnataka India
| | - H. D. Upadhyaya
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324 Andhra Pradesh India
| | - R. K. Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324 Andhra Pradesh India
- Genomics towards Gene Discovery Sub Programme, Generation Challenge Programme (GCP), c/o CIMMYT, Int APDO, Postal 6-641, 06600 Mexico, DF, Mexico
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Sabry A, Jeffers D, Vasal SK, Frederiksen R, Magill C. A region of maize chromosome 2 affects response to downy mildew pathogens. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2006; 113:321-30. [PMID: 16791698 DOI: 10.1007/s00122-006-0298-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2005] [Accepted: 04/19/2006] [Indexed: 05/10/2023]
Abstract
Quantitative trait loci (QTLs) for downy mildew resistance in maize were identified based on co-segregation with linked restriction fragment length polymorphisms or simple sequence repeats in 220 F2 progeny from a cross between susceptible and resistant parents. Disease response was assessed on F3 families in nurseries in Egypt, Thailand, and South Texas and after inoculation in a controlled greenhouse test. Heritability of the disease reaction was high (around 93% in Thailand). One hundred and thirty polymorphic markers were assigned to the ten chromosomes of maize with LOD scores exceeding 4.9 and covering about 1,265 cM with an average interval length between markers of 9.5 cM. About 90% of the genome is located within 10 cM of the nearest marker. Three putative QTLs were detected in association with resistance to downy mildew in different environments using composite interval mapping. Despite environmental and symptom differences, one locus on chromosome 2 had a major effect and explained up to 70% of the phenotypic variation in Thailand where disease pressure was the highest. The other two QTLs on chromosome 3 and chromosome 9 had minor effects; each explained no more than 4% of the phenotypic variation. The three QTLs appeared to have additive effects on resistance, identifying one major gene and two minor genes that contribute to downy mildew resistance.
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Affiliation(s)
- Ahmed Sabry
- Department of Plant Pathology and Microbiology, Texas A and M University, College Station, TX 77843, USA
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