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Chen G, Xiao Y, Dai S, Dai Z, Wang X, Li B, Jaqueth JS, Li W, Lai Z, Ding J, Yan J. Genetic basis of resistance to southern corn leaf blight in the maize multi-parent population and diversity panel. Plant Biotechnol J 2023; 21:506-520. [PMID: 36383026 PMCID: PMC9946143 DOI: 10.1111/pbi.13967] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
Southern corn leaf blight (SLB), caused by the necrotrophic pathogen Cochliobolus heterostrophus, is one of the maize foliar diseases and poses a great threat to corn production around the world. Identification of genetic variations underlying resistance to SLB is of paramount importance to maize yield and quality. Here, we used a random-open-parent association mapping population containing eight recombinant inbred line populations and one association mapping panel consisting of 513 diversity maize inbred lines with high-density genetic markers to dissect the genetic basis of SLB resistance. Overall, 109 quantitative trait loci (QTLs) with predominantly small or moderate additive effects, and little epistatic effects were identified. We found 35 (32.1%) novel loci in comparison with the reported QTLs. We revealed that resistant alleles were significantly enriched in tropical accessions and the frequency of about half of resistant alleles decreased during the adaptation process owing to the selection of agronomic traits. A large number of annotated genes located in the SLB-resistant QTLs were shown to be involved in plant defence pathways. Integrating genome-wide association study, transcriptomic profiling, resequencing and gene editing, we identified ZmFUT1 and MYBR92 as the putative genes responsible for the major QTLs for resistance to C. heterostrophus. Our results present a comprehensive insight into the genetic basis of SLB resistance and provide resistant loci or genes as direct targets for crop genetic improvement.
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Affiliation(s)
- Gengshen Chen
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Yingjie Xiao
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
- Hubei Hongshan LaboratoryWuhanChina
| | - Sha Dai
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Zhikang Dai
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Xiaoming Wang
- Institute of Crop ScienceChinese Academy of Agricultural SciencesBeijingChina
| | | | | | - Wenqiang Li
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Zhibing Lai
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Junqiang Ding
- College of AgronomyHenan Agricultural UniversityZhengzhouChina
- The State Key Laboratory of Wheat and Maize Crop Science and Center for Crop Genome EngineeringHenan Agricultural UniversityZhengzhouChina
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
- Hubei Hongshan LaboratoryWuhanChina
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Zhao M, Liu S, Pei Y, Jiang X, Jaqueth JS, Li B, Han J, Jeffers D, Wang J, Song X. Identification of genetic loci associated with rough dwarf disease resistance in maize by integrating GWAS and linkage mapping. Plant Sci 2022; 315:111100. [PMID: 35067294 DOI: 10.1016/j.plantsci.2021.111100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 06/14/2023]
Abstract
Maize rough dwarf disease (MRDD) is a viral disease that causes substantial yield loss, especially in China's summer planted maize area. Discovery of resistance genes would help in developing high-yielding resistant maize hybrids. Genome-wide association studies (GWASs) have advanced quickly and are now a powerful tool for dissecting complex genetic architectures. In this study, the disease severity index (DSI) of 292 maize inbred lines and an F6 linkage population were investigated across multiple environments for two years. Using the genotypes obtained from the Maize SNP 50K chip, a GWAS was performed with four analytical models. The results showed that 22 SNPs distributed on chromosomes 1, 3, 4, 6, 7 and 8 were significantly associated with resistance to MRDD (P<0.0001). The SNPs on chromosomes 3, 6 and 8 were consistent with the quantitative trait locus (QTL) regions from linkage mapping in an RIL population. Candidate genes identified by GWAS included an LRR receptor-like serine/threonine-protein kinase (GRMZM2G141288), and a DRE-binding protein (GRMZM2G006745). In addition, we performed an allele variation analysis of the SNP loci selected by GWAS and linkage mapping and found that the main alleles of the two SNP loci PZE_101170408 and PZE_106082685 on chromosome 1 differed in terms of disease-resistant materials and disease-susceptible materials. The identified SNPs and genes provide useful information for MRDD-related gene cloning and insights on the underlying disease resistance mechanisms, and they can be used in marker-assisted breeding to develop MRDD-resistant maize.
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Affiliation(s)
- Meiai Zhao
- Key Laboratory of Plant Biotechnology in Universities of Shandong Province, College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Shuangshuang Liu
- Key Laboratory of Plant Biotechnology in Universities of Shandong Province, College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Yuhe Pei
- Key Laboratory of Qingdao Major Crop Germplasm Resource Innovation and Application, College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Xuwen Jiang
- Key Laboratory of Qingdao Major Crop Germplasm Resource Innovation and Application, College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | | | - Bailin Li
- Corteva Agriscience, 7300 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Jing Han
- Shandong Denghai Pioneer, Jinan, Shandong, 254000, China
| | - Daniel Jeffers
- Former CIMMYT Breeder, Yunnan Office, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Jiabo Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, Sichuan, 160041, China.
| | - Xiyun Song
- Key Laboratory of Qingdao Major Crop Germplasm Resource Innovation and Application, College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China.
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Jaqueth JS, Hou Z, Zheng P, Ren R, Nagel BA, Cutter G, Niu X, Vollbrecht E, Greene TW, Kumpatla SP. Fertility restoration of maize CMS-C altered by a single amino acid substitution within the Rf4 bHLH transcription factor. Plant J 2020; 101:101-111. [PMID: 31487408 DOI: 10.1111/tpj.14521] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/07/2019] [Accepted: 08/09/2019] [Indexed: 05/24/2023]
Abstract
Type C cytoplasmic male sterility (CMS-C) is the most commonly used form of CMS in maize hybrid seed production. Restorer of fertility 4 (Rf4), the major fertility restorer gene of CMS-C, is located on chromosome 8S. To positionally clone Rf4, a large F3 population derived from a cross between a non-restorer and restorer (n = 5104) was screened for recombinants and then phenotyped for tassel fertility, resulting in a final map-based cloning interval of 12 kb. Within this 12-kb interval, the only likely candidate for Rf4 was GRMZM2G021276, a basic helix-loop-helix (bHLH) transcription factor with tassel-specific expression. The Rf4 gene product contains a nuclear localization signal and is likely to not interact directly with the mitochondria. Sequence analysis of Rf4 revealed four encoded amino acid substitutions between restoring and non-restoring inbreds, however only one substitution, F187Y, was within the highly conserved bHLH domain. The hypothesis that Rf4 restoration is altered by a single amino acid was tested by using clustered regularly interspaced short palindromic repeat (CRISPR)-CRISPR associated protein 9 (Cas9) homology directed repair (HDR) to create isogenic lines that varied for the F187Y substitution. In a population of these CRISPR-Cas9 edited plants (n = 780) that was phenotyped for tassel fertility, plants containing F187 were completely fertile, indicating fertility restoration, and plants containing Y187 were sterile, indicating lack of fertility restoration. Structural modeling shows that this amino acid residue 187 is located within the four helix bundle core, a critical region for stabilizing dimer conformation and affecting interaction partner selection.
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Affiliation(s)
| | - Zhenglin Hou
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Peizhong Zheng
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Ruihua Ren
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Bruce A Nagel
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Gary Cutter
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Xiaomu Niu
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Erik Vollbrecht
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, USA
| | - Thomas W Greene
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
| | - Siva P Kumpatla
- Corteva Agriscience™, 8325 NW 62nd Ave, Johnston, IA, 50131, USA
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Abstract
Microsatellites are important tools for plant breeding, genetics, and evolution, but few studies have analyzed their mutation pattern in plants. In this study, we estimated the mutation rate for 142 microsatellite loci in maize (Zea mays subsp. mays) in two different experiments of mutation accumulation. The mutation rate per generation was estimated to be 7.7 x 10(-4) for microsatellites with dinucleotide repeat motifs, with a 95% confidence interval from 5.2 x 10(-4) to 1.1 x 10(-3). For microsatellites with repeat motifs of more than 2 bp in length, no mutations were detected; so we could only estimate the upper 95% confidence limit of 5.1 x 10(-5) for the mutation rate. For dinucleotide repeat microsatellites, we also determined that the variance of change in the number of repeats (sigma(m)2) is 3.2. We sequenced 55 of the 73 observed mutations, and all mutations proved to be changes in the number of repeats in the microsatellite or in mononucleotide tracts flanking the microsatellite. There is a higher probability to mutate to an allele of larger size. There is heterogeneity in the mutation rate among dinucleotide microsatellites and a positive correlation between the number of repeats in the progenitor allele and the mutation rate. The microsatellite-based estimate of the effective population size of maize is more than an order of magnitude less than previously reported values based on nucleotide sequence variation.
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Affiliation(s)
- Yves Vigouroux
- Department of Genetics, University of Wisconsin, Madison 53706, USA
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