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Nisa WU, Sandhu S, Nair SK, Kaur H, Kumar A, Rashid Z, Saykhedkar G, Vikal Y. Insights into maydis leaf blight resistance in maize: a comprehensive genome-wide association study in sub-tropics of India. BMC Genomics 2024; 25:760. [PMID: 39103778 DOI: 10.1186/s12864-024-10655-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 07/23/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND In the face of contemporary climatic vulnerabilities and escalating global temperatures, the prevalence of maydis leaf blight (MLB) poses a potential threat to maize production. This study endeavours to discern marker-trait associations and elucidate the candidate genes that underlie resistance to MLB in maize by employing a diverse panel comprising 336 lines. The panel was screening for MLB across four environments, employing standard artificial inoculation techniques. Genome-wide association studies (GWAS) and haplotype analysis were conducted utilizing a total of 128,490 SNPs obtained from genotyping-by-sequencing (GBS). RESULTS GWAS identified 26 highly significant SNPs associated with MLB resistance, among the markers examined. Seven of these SNPs, reported in novel chromosomal bins (9.06, 5.01, 9.01, 7.04, 4.06, 1.04, and 6.05) were associated with genes: bzip23, NAGS1, CDPK7, aspartic proteinase NEP-2, VQ4, and Wun1, which were characterized for their roles in diminishing fungal activity, fortifying defence mechanisms against necrotrophic pathogens, modulating phyto-hormone signalling, and orchestrating oxidative burst responses. Gene mining approach identified 22 potential candidate genes associated with SNPs due to their functional relevance to resistance against necrotrophic pathogens. Notably, bin 8.06, which hosts five SNPs, showed a connection to defense-regulating genes against MLB, indicating the potential formation of a functional gene cluster that triggers a cascade of reactions against MLB. In silico studies revealed gene expression levels exceeding ten fragments per kilobase million (FPKM) for most genes and demonstrated coexpression among all candidate genes in the coexpression network. Haplotype regression analysis revealed the association of 13 common significant haplotypes at Bonferroni ≤ 0.05. The phenotypic variance explained by these significant haplotypes ranged from low to moderate, suggesting a breeding strategy that combines multiple resistance alleles to enhance resistance to MLB. Additionally, one particular haplotype block (Hap_8.3) was found to consist of two SNPs (S8_152715134, S8_152460815) identified in GWAS with 9.45% variation explained (PVE). CONCLUSION The identified SNPs/ haplotypes associated with the trait of interest contribute to the enrichment of allelic diversity and hold direct applicability in Genomics Assisted Breeding for enhancing MLB resistance in maize.
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Affiliation(s)
- Wajhat- Un- Nisa
- Dept. of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Surinder Sandhu
- Dept. of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.
| | | | - Harleen Kaur
- Dept. of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Ashok Kumar
- Regional Research Station, Punjab Agricultural University, Gurdaspur, Ludhiana, India
| | - Zerka Rashid
- International Maize and Wheat Improvement Centre (CIMMYT), Hyderabad, India
| | - Gajanan Saykhedkar
- International Maize and Wheat Improvement Centre (CIMMYT), Hyderabad, India
| | - Yogesh Vikal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
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Nsibo DL, Barnes I, Berger DK. Recent advances in the population biology and management of maize foliar fungal pathogens Exserohilum turcicum, Cercospora zeina and Bipolaris maydis in Africa. FRONTIERS IN PLANT SCIENCE 2024; 15:1404483. [PMID: 39148617 PMCID: PMC11324496 DOI: 10.3389/fpls.2024.1404483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 07/01/2024] [Indexed: 08/17/2024]
Abstract
Maize is the most widely cultivated and major security crop in sub-Saharan Africa. Three foliar diseases threaten maize production on the continent, namely northern leaf blight, gray leaf spot, and southern corn leaf blight. These are caused by the fungi Exserohilum turcicum, Cercospora zeina, and Bipolaris maydis, respectively. Yield losses of more than 10% can occur if these pathogens are diagnosed inaccurately or managed ineffectively. Here, we review recent advances in understanding the population biology and management of the three pathogens, which are present in Africa and thrive under similar environmental conditions during a single growing season. To effectively manage these pathogens, there is an increasing adoption of breeding for resistance at the small-scale level combined with cultural practices. Fungicide usage in African cropping systems is limited due to high costs and avoidance of chemical control. Currently, there is limited knowledge available on the population biology and genetics of these pathogens in Africa. The evolutionary potential of these pathogens to overcome host resistance has not been fully established. There is a need to conduct large-scale sampling of isolates to study their diversity and trace their migration patterns across the continent.
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Affiliation(s)
- David L Nsibo
- Department of Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa
| | - Irene Barnes
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa
| | - Dave K Berger
- Department of Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa
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Dai Y, Gan L, Lan C, Liu X, Liu W, Yang X. Population structure and mixed reproductive strategies in Bipolaris maydis from single and multiple corn cultivars in Fujian Province, China. FRONTIERS IN PLANT SCIENCE 2023; 14:1232414. [PMID: 37860250 PMCID: PMC10583543 DOI: 10.3389/fpls.2023.1232414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/12/2023] [Indexed: 10/21/2023]
Abstract
Bipolaris maydis is the pathogenic microorganism of southern corn leaf blight, a persistent biotic constraint responsible for substantial yield losses of corn worldwide. In the present study, 96 isolates from six representative fields growing single and multiple sweet corn cultivars in Pingnan, Fuqing, and Jian'ou in Fujian Province, which are characterized by different geographical characteristics and cropping patterns, were genetically analyzed using inter-simple sequence repeat (ISSR) markers to assess the impact of geographical origins and corn cultivars on B. maydis population differentiation. B. maydis isolates originated from diverse regions possessed higher genetic variety than those from single and multiple sweet corn cultivars. Phylogenetic analysis showed that the isolates from single and multiple sweet corn cultivars were randomly grouped into different clusters, with those from the same location tending to form clusters. A greater genetic differentiation among different geographical populations than between those from single and multiple sweet corn cultivars was observed by pairwise comparison. Hierarchical analysis indicated that among-population variation was higher when comparatively analyzed B. maydis populations from different locations than in those from single and multiple sweet corn cultivars. In conclusion, these results suggest that geographical origin acts a more considerable role in genetic differentiation of B. maydis than corn cultivar. Two divided genetic clusters were detected in the B. maydis populations from single and multiple sweet corn cultivars at the three locations in Fujian Province, with major genetic variation being derived within populations. The high haplotypic diversity and expected mating type ratio of 1:1 in combination with significant linkage disequilibrium suggested that a mixed reproductive strategy occurs in the B. maydis population in Fujian Province. This study will enrich the information on the role that geographical origins and corn cultivars play in the population structure of the pathogen as well as the reproductive strategies in B. maydis population in Fujian Province.
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Affiliation(s)
- Yuli Dai
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Lin Gan
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Chengzhong Lan
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Xiaofei Liu
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Wende Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiujuan Yang
- Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pests, Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
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Balint‐Kurti P, Wang G. Special issue: Genetics of maize-microbe interactions. MOLECULAR PLANT PATHOLOGY 2023; 24:671-674. [PMID: 37209308 PMCID: PMC10257038 DOI: 10.1111/mpp.13348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 05/22/2023]
Affiliation(s)
- Peter Balint‐Kurti
- USDA‐ARSPlant Science Research UnitRaleighNorth CarolinaUSA
- Department of Entomology and Plant PathologyNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | - Guan‐Feng Wang
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong UniversityQingdaoShandongChina
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Chen C, Zhao Y, Tabor G, Nian H, Phillips J, Wolters P, Yang Q, Balint-Kurti P. A leucine-rich repeat receptor kinase gene confers quantitative susceptibility to maize southern leaf blight. THE NEW PHYTOLOGIST 2023; 238:1182-1197. [PMID: 36721267 DOI: 10.1111/nph.18781] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Southern leaf blight (SLB), caused by the necrotrophic fungal pathogen Cochliobolus heterostrophus (anamorph Bipolaris maydis), is a major foliar disease which causes significant yield losses in maize worldwide. A major quantitative trait locus, qSLB3.04 , conferring recessive resistance to SLB was previously mapped on maize chromosome 3. Using a combination of map-based cloning, association analysis, ethyl methanesulfonate and transposon mutagenesis, and CRISPR-Cas9 editing, we demonstrate that a leucine-rich repeat receptor-like kinase gene which we have called ChSK1 (Cochliobolus heterostrophus Susceptibility Kinase 1) at qSLB3.04 causes increased susceptibility to SLB. Genes of this type have generally been associated with the defense response. We present evidence that ChSK1 may be associated with suppression of the basal immune response. These findings contribute to our understanding of plant disease susceptibility genes and the potential to use them for engineering durable disease resistance.
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Affiliation(s)
- Chuan Chen
- State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Maize Biology and Genetic Breeding in Arid Area of Northwest Region of the Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yaqi Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Maize Biology and Genetic Breeding in Arid Area of Northwest Region of the Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Girma Tabor
- Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Huiqin Nian
- State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Maize Biology and Genetic Breeding in Arid Area of Northwest Region of the Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | | | | | - Qin Yang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Maize Biology and Genetic Breeding in Arid Area of Northwest Region of the Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA
| | - Peter Balint-Kurti
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA
- Plant Science Research Unit, USDA-ARS, Raleigh, NC, 27695, USA
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Singh R, Shim S, Telenko DEP, Goodwin SB. Parental Inbred Lines of the Nested Association Mapping (NAM) Population of Corn Show Sources of Resistance to Tar Spot in Northern Indiana. PLANT DISEASE 2023; 107:262-266. [PMID: 35836387 DOI: 10.1094/pdis-02-22-0314-sc] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Tar spot is a major foliar disease of corn caused by the obligate fungal pathogen Phyllachora maydis, first identified in Indiana in 2015. Under conducive weather conditions, P. maydis causes significant yield losses in the United States and other countries, constituting a major threat to corn production. Relatively little is known about resistance to tar spot other than a major quantitative gene that was identified in tropical maize lines. To test for additional sources of resistance against populations of P. maydis in North America, 26 parental inbred lines of the nested associated mapping (NAM) population were evaluated for tar spot resistance in Indiana in replicated field trials under natural infection for 3 years. Tar spot disease severity was scored visually using a 0-to-100% scale. Maximum disease severity (MDS) for tar spot scoring at reproductive growth stage ranged from 0 to 48.3%, with 0% being most resistant and 48.3% being most susceptible. Nine inbred lines were resistant to P. maydis with MDS ranging from 0 to 5.0%, six were moderately resistant (5.2 to 10.6% MDS), two were moderately susceptible (11.7 to 26.0% MDS), and the remaining eight inbred lines were rated as susceptible (30.0 to 48.3% MDS). There was some variability between years, due to higher disease pressure after 2019. Inbred B73, the common parent of the NAM populations, was rated as susceptible, with MDS of 30.0%. The nine highly resistant lines provide a potential source of new genes for genetic analysis and mapping of tar spot resistance in corn.
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Affiliation(s)
- Raksha Singh
- Crop Production and Pest Control Research Unit, United States Department of Agriculture-Agricultural Research Service, West Lafayette, IN 47907-2054
| | - Sujoung Shim
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907-2054
| | - Darcy E P Telenko
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907-2054
| | - Stephen B Goodwin
- Crop Production and Pest Control Research Unit, United States Department of Agriculture-Agricultural Research Service, West Lafayette, IN 47907-2054
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Zhang J, Jia X, Wang GF, Ma S, Wang S, Yang Q, Chen X, Zhang Y, Lyu Y, Wang X, Shi J, Zhao Y, Chen Y, Wu L. Ascorbate peroxidase 1 confers resistance to southern corn leaf blight in maize. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2022; 64:1196-1211. [PMID: 35319160 DOI: 10.1111/jipb.13254] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
Southern corn leaf blight (SCLB), caused by Bipolaris maydis, is one of the most devastating diseases affecting maize production. However, only one SLCB resistance gene, conferring partial resistance, is currently known, underscoring the importance of isolating new SCLB resistance-related genes. Here, we performed a comparative proteomic analysis and identified 258 proteins showing differential abundance during the maize response to B. maydis. These proteins included an ascorbate peroxidase (Zea mays ascorbate peroxidase 1 (ZmAPX1)) encoded by a gene located within the mapping interval of a previously identified quantitative trait locus associated with SCLB resistance. ZmAPX1 overexpression resulted in lower H2 O2 accumulation and enhanced resistance against B. maydis. Jasmonic acid (JA) contents and transcript levels for JA biosynthesis and responsive genes increased in ZmAPX1-overexpressing plants infected with B. maydis, whereas Zmapx1 mutants showed the opposite effects. We further determined that low levels of H2 O2 are accompanied by an accumulation of JA that enhances SCLB resistance. These results demonstrate that ZmAPX1 positively regulates SCLB resistance by decreasing H2 O2 accumulation and activating the JA-mediated defense signaling pathway. This study identified ZmAPX1 as a potentially useful gene for increasing SCLB resistance. Furthermore, the generated data may be relevant for clarifying the functions of plant APXs.
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Affiliation(s)
- Jinghua Zhang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xingmeng Jia
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Guan-Feng Wang
- The Key Laboratory of Plant Development and Environmental Adaptation Biologym, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, China
| | - Shijun Ma
- The Key Laboratory of Plant Development and Environmental Adaptation Biologym, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, 266237, China
| | - Shunxi Wang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Qin Yang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Xueyan Chen
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yuqian Zhang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- School of Environmental and Rural Science, University of New England, Armidale, 2351, NSW, Australia
| | - Yajing Lyu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Xiaoxu Wang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jiawei Shi
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yangtao Zhao
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yanhui Chen
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Liuji Wu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
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Mijiti Y, Fang F, Liang S, Huang X, Yilihamu Y, Zhakeer A, Wang J. miR-12 Derived from Bone Marrow Mesenchymal Stem Cells Accelerates the Development of Human Papillomavirus by Up-Regulating AN1. J BIOMATER TISS ENG 2022. [DOI: 10.1166/jbt.2022.2970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The miRNA derived from Bone marrow mesenchymal stem cells (BMSCs) have crucial effects on tumors. The tumor could be affected by the abnormal expression of miRNA in human papillomavirus (HPV). Our study aimed to identify the potential brand-new biomarker in order to reveal the pathogenesis
of HPV. miRNA derived from BMSCs was detected and identified. The action of miR-12 on biological behavior of HPV was detected. The level of AN1 protein was detected by Western-blot and IHC method. The relationship between miR-12 and AN1 was assessed by bioinformatics analysis and luciferase
assay. The tumor cell biological behaviors were evaluated by manipulating miR12 and AN1 level. The tumor volume derived from BMSCs was diminished significantly compared with normal tissues. The tumor volume was bigger after combined injection with Hela cell and miR-12 compared with single
injection. The cell proliferative and invasive ability was strengthened after transfection with miR-12mimics. The cell invasive ability was reduced significantly after transfection of si-miR-12. AN1 was a target gene of miR-12 as confirmed by the analysis on bioinformatics and luciferase activity.
The phenotype was reversed after the silent presentation of AN1 was disturbed. In conclusion, miR-12 expression is elevated in HPV cells and affects HPV cells through targeting the AN1 signaling pathway.
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Affiliation(s)
- Yilidana Mijiti
- Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xingjiang, 830054, China
| | - Fang Fang
- Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xingjiang, 830054, China
| | - Shanhui Liang
- Department of Gynecology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Xiuju Huang
- Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xingjiang, 830054, China
| | - Yilidana Yilihamu
- Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xingjiang, 830054, China
| | - Adilai Zhakeer
- Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xingjiang, 830054, China
| | - Jing Wang
- Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xingjiang, 830054, China
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Maize Introgression Library Provides Evidence for the Involvement of liguleless1 in Resistance to Northern Leaf Blight. G3-GENES GENOMES GENETICS 2020; 10:3611-3622. [PMID: 32816917 PMCID: PMC7534436 DOI: 10.1534/g3.120.401500] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Plant disease resistance is largely governed by complex genetic architecture. In maize, few disease resistance loci have been characterized. Near-isogenic lines are a powerful genetic tool to dissect quantitative trait loci. We analyzed an introgression library of maize (Zea mays) near-isogenic lines, termed a nested near-isogenic line library for resistance to northern leaf blight caused by the fungal pathogen Setosphaeria turcica The population was comprised of 412 BC5F4 near-isogenic lines that originated from 18 diverse donor parents and a common recurrent parent, B73. Single nucleotide polymorphisms identified through genotyping by sequencing were used to define introgressions and for association analysis. Near-isogenic lines that conferred resistance and susceptibility to northern leaf blight were comprised of introgressions that overlapped known northern leaf blight quantitative trait loci. Genome-wide association analysis and stepwise regression further resolved five quantitative trait loci regions, and implicated several candidate genes, including Liguleless1, a key determinant of leaf architecture in cereals. Two independently-derived mutant alleles of liguleless1 inoculated with S. turcica showed enhanced susceptibility to northern leaf blight. In the maize nested association mapping population, leaf angle was positively correlated with resistance to northern leaf blight in five recombinant inbred line populations, and negatively correlated with northern leaf blight in four recombinant inbred line populations. This study demonstrates the power of an introgression library combined with high density marker coverage to resolve quantitative trait loci. Furthermore, the role of liguleless1 in leaf architecture and in resistance to northern leaf blight has important applications in crop improvement.
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Xia H, Gao W, Qu J, Dai L, Gao Y, Lu S, Zhang M, Wang P, Wang T. Genetic mapping of northern corn leaf blight-resistant quantitative trait loci in maize. Medicine (Baltimore) 2020; 99:e21326. [PMID: 32756117 PMCID: PMC7402768 DOI: 10.1097/md.0000000000021326] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Northern corn leaf blight (NCLB), a corn disease infected by Exserohilum turcicum, can cause loss of harvest and economy. Identification or evaluation of NCLB-resistant quantitative trait loci (QTL) and genes could improve maize breeds. This study aimed to identify novel QTLs for NCLB-resistance.Two maize strains (BB and BC) were utilized to generate B73 × B97 and B73 × CML322 and constructed the genetic linkage using high-throughput single nucleotide polymorphism (SNP) linkage map analysis of 170 (BB) and 163(BC) recombinant inbred line (RIL) genomic DNA samples. NCLB-resistant QTL was associated with phenotypic data from the field trial of 170 BB and 163 BC strains over two years using these 1100 SNPs to identify high-density NCLB-resistant QTLs.In BB, QTL of the NCLB resistance was on chromosome 1 and 3 (LOD scores between 2.74 and 5.44); in BC, QTL of NCLB resistance was on chromosome 1, 2, 4, 8, and 9 (LOD scores between 2.52 and 8.53). A number of genes or genetic information related to NCLB resistance in both BB and BC were identified with the maximum number of genes/NCLB resistance-related QTL on chromosome 3 for BB and on chromosome 1 for BC.This study successfully mapped and identified NCLB-resistant QTL and genes for these 2 different maize strains, which provides insightful information for future study of NCLB-resistance and selection of NCLB-resistant maize variants.
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Affiliation(s)
- Haifeng Xia
- Tonghua Academy of Agricultural Sciences, Tonghua
- College of Agronomy, Jilin Agricultural University, Changchun
| | - Wei Gao
- Tonghua Academy of Agricultural Sciences, Tonghua
| | - Jing Qu
- College of Agronomy, Jilin Agricultural University, Changchun
| | - Liqiang Dai
- College of Agronomy, Jilin Agricultural University, Changchun
| | - Yan Gao
- Tonghua Academy of Agricultural Sciences, Tonghua
| | - Shi Lu
- College of Agronomy, Jilin Agricultural University, Changchun
| | - Mo Zhang
- College of Agronomy, Jilin Agricultural University, Changchun
| | - Piwu Wang
- College of Agronomy, Jilin Agricultural University, Changchun
| | - Tianyu Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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Zhang X, Fernandes SB, Kaiser C, Adhikari P, Brown PJ, Mideros SX, Jamann TM. Conserved defense responses between maize and sorghum to Exserohilum turcicum. BMC PLANT BIOLOGY 2020; 20:67. [PMID: 32041528 PMCID: PMC7011368 DOI: 10.1186/s12870-020-2275-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 02/03/2020] [Indexed: 05/10/2023]
Abstract
BACKGROUND Exserohilum turcicum is an important pathogen of both sorghum and maize, causing sorghum leaf blight and northern corn leaf blight. Because the same pathogen can infect and cause major losses for two of the most important grain crops, it is an ideal pathosystem to study plant-pathogen evolution and investigate shared resistance mechanisms between the two plant species. To identify sorghum genes involved in the E. turcicum response, we conducted a genome-wide association study (GWAS). RESULTS Using the sorghum conversion panel evaluated across three environments, we identified a total of 216 significant markers. Based on physical linkage with the significant markers, we detected a total of 113 unique candidate genes, some with known roles in plant defense. Also, we compared maize genes known to play a role in resistance to E. turcicum with the association mapping results and found evidence of genes conferring resistance in both crops, providing evidence of shared resistance between maize and sorghum. CONCLUSIONS Using a genetics approach, we identified shared genetic regions conferring resistance to E. turcicum in both maize and sorghum. We identified several promising candidate genes for resistance to leaf blight in sorghum, including genes related to R-gene mediated resistance. We present significant advancements in the understanding of host resistance to E. turcicum, which is crucial to reduce losses due to this important pathogen.
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Affiliation(s)
- Xiaoyue Zhang
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Samuel B Fernandes
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Christopher Kaiser
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Pragya Adhikari
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Patrick J Brown
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Santiago X Mideros
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Tiffany M Jamann
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
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Martins LB, Rucker E, Thomason W, Wisser RJ, Holland JB, Balint-Kurti P. Validation and Characterization of Maize Multiple Disease Resistance QTL. G3 (BETHESDA, MD.) 2019; 9:2905-2912. [PMID: 31300480 PMCID: PMC6723135 DOI: 10.1534/g3.119.400195] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 07/03/2019] [Indexed: 11/18/2022]
Abstract
Southern Leaf Blight, Northern Leaf Blight, and Gray Leaf Spot, caused by ascomycete fungi, are among the most important foliar diseases of maize worldwide. Previously, disease resistance quantitative trait loci (QTL) for all three diseases were identified in a connected set of chromosome segment substitution line (CSSL) populations designed for the identification of disease resistance QTL. Some QTL for different diseases co-localized, indicating the presence of multiple disease resistance (MDR) QTL. The goal of this study was to perform an independent test of several of the MDR QTL identified to confirm their existence and derive a more precise estimate of allele additive and dominance effects. Twelve F2:3 family populations were produced, in which selected QTL were segregating in an otherwise uniform genetic background. The populations were assessed for each of the three diseases in replicated trials and genotyped with markers previously associated with disease resistance. Pairwise phenotypic correlations across all the populations for resistance to the three diseases ranged from 0.2 to 0.3 and were all significant at the alpha level of 0.01. Of the 44 QTL tested, 16 were validated (identified at the same genomic location for the same disease or diseases) and several novel QTL/disease associations were found. Two MDR QTL were associated with resistance to all three diseases. This study identifies several potentially important MDR QTL and demonstrates the importance of independently evaluating QTL effects following their initial identification.
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Affiliation(s)
- Lais B Martins
- Dept. of Crop Science, North Carolina State University, Box 7620, Raleigh, NC 27695
| | - Elizabeth Rucker
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061
| | - Wade Thomason
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061
| | - Randall J Wisser
- Dept. of Plant and Soil Sciences, University of Delaware, Newark, DE 19716
| | - James B Holland
- Dept. of Crop Science, North Carolina State University, Box 7620, Raleigh, NC 27695
- Plant Science Research Unit, USDA-ARS, Raleigh NC 27695-7616
| | - Peter Balint-Kurti
- Plant Science Research Unit, USDA-ARS, Raleigh NC 27695-7616
- Dept. of Entomology and Plant Pathology, North Carolina State University, Box 7616 Raleigh, NC 27695
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