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Ren RC, Kong LG, Zheng GM, Zhao YJ, Jiang X, Wu JW, Liu C, Chu J, Ding XH, Zhang XS, Wang GF, Zhao XY. Maize requires arogenate dehydratase 2 for resistance to Ustilago maydis and plant development. PLANT PHYSIOLOGY 2024; 195:1642-1659. [PMID: 38431524 DOI: 10.1093/plphys/kiae115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/05/2024] [Accepted: 01/23/2024] [Indexed: 03/05/2024]
Abstract
Maize (Zea mays) smut is a common biotrophic fungal disease caused by Ustilago maydis and leads to low maize yield. Maize resistance to U. maydis is a quantitative trait. However, the molecular mechanism underlying the resistance of maize to U. maydis is poorly understood. Here, we reported that a maize mutant caused by a single gene mutation exhibited defects in both fungal resistance and plant development. maize mutant highly susceptible to U. maydis (mmsu) with a dwarf phenotype forms tumors in the ear. A map-based cloning and allelism test demonstrated that 1 gene encoding a putative arogenate dehydratase/prephenate dehydratase (ADT/PDT) is responsible for the phenotypes of the mmsu and was designated as ZmADT2. Combined transcriptomic and metabolomic analyses revealed that mmsu had substantial differences in multiple metabolic pathways in response to U. maydis infection compared with the wild type. Disruption of ZmADT2 caused damage to the chloroplast ultrastructure and function, metabolic flux redirection, and reduced the amounts of salicylic acid (SA) and lignin, leading to susceptibility to U. maydis and dwarf phenotype. These results suggested that ZmADT2 is required for maintaining metabolic flux, as well as resistance to U. maydis and plant development in maize. Meanwhile, our findings provided insights into the maize response mechanism to U. maydis infection.
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Affiliation(s)
- Ru Chang Ren
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Ling Guang Kong
- State Key Laboratory of Crop Biology, Shandong Provincial Key Laboratory for Biology of Vegetable Diseases and Insect Pests, College of Plant Protection, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Guang Ming Zheng
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Ya Jie Zhao
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Xin Jiang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Jia Wen Wu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Cuimei Liu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, National Centre for Plant Gene Research (Beijing), Beijing 100101, China
| | - Jinfang Chu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, National Centre for Plant Gene Research (Beijing), Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Hua Ding
- State Key Laboratory of Crop Biology, Shandong Provincial Key Laboratory for Biology of Vegetable Diseases and Insect Pests, College of Plant Protection, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Xian Sheng Zhang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Guan Feng Wang
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao, Shandong 266237, China
| | - Xiang Yu Zhao
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Taian, Shandong 271018, China
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Hu X, Luo Z, Xu C, Wu Z, Wu C, Ebid MHM, Zan F, Zhao L, Liu X, Liu J. A Comprehensive Analysis of Transcriptomics and Metabolomics Revealed Key Pathways Involved in Saccharum spontaneum Defense against Sporisorium scitamineum. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:4476-4492. [PMID: 38373255 DOI: 10.1021/acs.jafc.3c07768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Sugarcane smut, caused by Sporisorium scitamineum, poses a severe threat to sugarcane production. The genetic basis of sugarcane resistance to S. scitamineum remains elusive. A comparative transcriptomic and metabolomic study was conducted on two wild Saccharum species of S. spontaneum with contrast smut resistance. Following infection, the resistant line exhibited greater down-regulation of genes and metabolites compared to the susceptible line, indicating distinct biological processes. Lignan and lignin biosynthesis and SA signal transduction were activated in the resistant line, while flavonoid biosynthesis and auxin signal transduction were enhanced in the susceptible line. TGA2.2 and ARF14 were identified as playing positive and negative roles, respectively, in plant defense. Exogenous auxin application significantly increased the susceptibility of S. spontaneum to S. scitaminum. This study established the significant switching of defense signaling pathways in contrast-resistant S. spontaneum following S. scitamineum infection, offering a hypothetical model and candidate genes for further research into sugarcane smut disease.
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Affiliation(s)
- Xin Hu
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Zhengying Luo
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Chaohua Xu
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Zhuandi Wu
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Caiwen Wu
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Mahmoud H M Ebid
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Sugar Crops Research Institute, Agricultural Research Center, Giza 12619, Egypt
| | - Fengang Zan
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Liping Zhao
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Xinlong Liu
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
| | - Jiayong Liu
- National Key Laboratory for Biological Breeding of Tropical Crops, Kunming 650221, China
- Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences/Yunnan Key Laboratory of Sugarcane Genetic Improvement, Kaiyuan 661699, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs (Yunnan), Kaiyuan 661699, China
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Gutiérrez-Mireles ER, Páez-Franco JC, Rodríguez-Ruíz R, Germán-Acacio JM, López-Aquino MC, Gutiérrez-Aguilar M. An Arabidopsis mutant line lacking the mitochondrial calcium transport regulator MICU shows an altered metabolite profile. PLANT SIGNALING & BEHAVIOR 2023; 18:2271799. [PMID: 37879964 PMCID: PMC10601504 DOI: 10.1080/15592324.2023.2271799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
Plant metabolism is constantly changing and requires input signals for efficient regulation. The mitochondrial calcium uniporter (MCU) couples organellar and cytoplasmic calcium oscillations leading to oxidative metabolism regulation in a vast array of species. In Arabidopsis thaliana, genetic deletion of AtMICU leads to altered mitochondrial calcium handling and ultrastructure. Here we aimed to further assess the consequences upon genetic deletion of AtMICU. Our results confirm that AtMICU safeguards intracellular calcium transport associated with carbohydrate, amino acid, and phytol metabolism modifications. The implications of such alterations are discussed.
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Affiliation(s)
- Emilia R. Gutiérrez-Mireles
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - José Carlos Páez-Franco
- Red de Apoyo a la Investigación, Coordinación de la Investigación Científica-UNAM, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Raúl Rodríguez-Ruíz
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Juan Manuel Germán-Acacio
- Red de Apoyo a la Investigación, Coordinación de la Investigación Científica-UNAM, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - M. Casandra López-Aquino
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Manuel Gutiérrez-Aguilar
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México, México
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Huang Y, Li Y, Zou K, Wang Y, Ma Y, Meng D, Luo H, Qu J, Li F, Xuan Y, Du W. The Resistance of Maize to Ustilago maydis Infection Is Correlated with the Degree of Methyl Esterification of Pectin in the Cell Wall. Int J Mol Sci 2023; 24:14737. [PMID: 37834187 PMCID: PMC10573042 DOI: 10.3390/ijms241914737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 09/21/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Common smut caused by Ustilago maydis is one of the dominant fungal diseases in plants. The resistance mechanism to U. maydis infection involving alterations in the cell wall is poorly studied. In this study, the resistant single segment substitution line (SSSL) R445 and its susceptible recurrent parent line Ye478 of maize were infected with U. maydis, and the changes in cell wall components and structure were studied at 0, 2, 4, 8, and 12 days postinfection. In R445 and Ye478, the contents of cellulose, hemicellulose, pectin, and lignin increased by varying degrees, and pectin methylesterase (PME) activity increased. The changes in hemicellulose and pectin in the cell wall after U. maydis infection were analyzed via immunolabeling using monoclonal antibodies against hemicellulsic xylans and high/low-methylated pectin. U. maydis infection altered methyl esterification of pectin, and the degree of methyl esterification was correlated with the resistance of maize to U. maydis. Furthermore, the relationship between methyl esterification of pectin and host resistance was validated using 15 maize inbred lines with different resistance levels. The results revealed that cell wall components, particularly pectin, were important factors affecting the colonization and propagation of U. maydis in maize, and methyl esterification of pectin played a role in the resistance of maize to U. maydis infection.
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Affiliation(s)
- Yingni Huang
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Yang Li
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Kunkun Zou
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Yang Wang
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Yuting Ma
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Dexuan Meng
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Haishan Luo
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Jianzhou Qu
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
| | - Fengcheng Li
- Rice Research Institute, Shenyang Agricultural University, Shenyang 110866, China
| | - Yuanhu Xuan
- College of Plant Protection, Shenyang Agricultural University, Shenyang 110866, China
| | - Wanli Du
- Specialty Corn Institute, College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
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Venslovas E, Mankevičienė A, Kochiieru Y, Janavičienė S, Dabkevičius Z, Bartkevičs V, Bērziņa Z, Pavlenko R. The Effect of Ustilago maydis and Delayed Harvesting on A- and B-Type Trichothecene Concentrations in Maize Grain. J Fungi (Basel) 2023; 9:794. [PMID: 37623565 PMCID: PMC10455307 DOI: 10.3390/jof9080794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/18/2023] [Accepted: 07/26/2023] [Indexed: 08/26/2023] Open
Abstract
The aim of this study was to investigate whether, in the context of a higher incidence of Ustilago maydis and Fusarium spp. at optimal and delayed harvest times, a higher incidence of mycotoxin contamination in maize grains could be expected. The field experiment was carried out at the Lithuanian Research Centre for Agriculture and Forestry experimental fields over three consecutive years (2020-2022). Two maize hybrids (Duxxbury and Lapriora) with different FAO numbers were used. The experimental design in the field was a randomized complete block design. Harvesting took place at three different times: first at physiological maturity, and then 10 (±2) and 20 (±2) days after the first harvest. Each hybrid had four repetitions at different harvest times. The U. maydis infection was only detected in 2021 and after the first harvest cobs were further divided into four different groups with four repetitions: healthy cobs, cobs visually infected with Fusarium spp., cobs visually infected with common smut, and cobs visually infected with both pathogens. No U. maydis-damaged maize cobs were found in 2020 and 2022. The levels of Fusarium microscopic fungi in maize grains were also from 4 to 16 times higher in 2021 than in 2020 and 2022. Harvest delays in 2020 led to a significant deoxynivalenol concentration increase in the Duxxbury hybrid and an HT-2 concentration increase in the Lapriora hybrid. In 2021, deoxynivalenol, 3-acetyl-deoxynivalenol, 15-acetyl-deoxynivalenol, and HT-2 concentrations significantly rose in both hybrids, but the T-2 concentration significantly increased only in the Lapriora hybrid. Deoxynivalenol concentrations were, respectively, 110 and 14.6 times higher than in cobs only infected with Fusarium spp. or U. maydis. Concentrations of 15-acetyl-deoxynivalenol were, respectively, 60, 67, and 43 times higher than in asymptomatic cobs and cobs only infected with Fusarium spp. or U. maydis. Cobs contaminated with both pathogens also had higher concentrations of 3-acetyl-deoxynivalenol. T-2 and HT-2 were detected in maize grains harvested from cobs infected only with Fusarium spp. The presence of U. maydis and Fusarium fungi in maize cobs, along with harvest delays, led to significant increases in mycotoxin concentrations, highlighting the importance of timely harvesting and pathogen management to mitigate mycotoxin contamination in maize grains.
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Affiliation(s)
- Eimantas Venslovas
- Lithuanian Research Centre for Agriculture and Forestry, Instituto al. 1, LT-58344 Akademija, Lithuania
| | - Audronė Mankevičienė
- Lithuanian Research Centre for Agriculture and Forestry, Instituto al. 1, LT-58344 Akademija, Lithuania
| | - Yuliia Kochiieru
- Lithuanian Research Centre for Agriculture and Forestry, Instituto al. 1, LT-58344 Akademija, Lithuania
| | - Sigita Janavičienė
- Lithuanian Research Centre for Agriculture and Forestry, Instituto al. 1, LT-58344 Akademija, Lithuania
| | - Zenonas Dabkevičius
- Lithuanian Research Centre for Agriculture and Forestry, Instituto al. 1, LT-58344 Akademija, Lithuania
| | - Vadims Bartkevičs
- Institute of Food Safety, Animal Health and Environment “BIOR”, Lejupes Iela 3, LV-1076 Riga, Latvia
| | - Zane Bērziņa
- Institute of Food Safety, Animal Health and Environment “BIOR”, Lejupes Iela 3, LV-1076 Riga, Latvia
| | - Romans Pavlenko
- Institute of Food Safety, Animal Health and Environment “BIOR”, Lejupes Iela 3, LV-1076 Riga, Latvia
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Zhou L, Zhu T, Han S, Li S, Liu Y, Lin T, Qiao T. Changes in the Histology of Walnut ( Juglans regia L.) Infected with Phomopsis capsici and Transcriptome and Metabolome Analysis. Int J Mol Sci 2023; 24:ijms24054879. [PMID: 36902308 PMCID: PMC10003368 DOI: 10.3390/ijms24054879] [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: 01/15/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023] Open
Abstract
Phomopsis capsici (P. capsici) causes branch blight of walnuts, which leads to significant economic loss. The molecular mechanism behind the response of walnuts remains unknown. Paraffin sectioning and transcriptome and metabolome analyses were performed to explore the changes in tissue structure, gene expression, and metabolic processes in walnut after infection with P. capsici. We found that P. capsici caused serious damage to xylem vessels during the infestation of walnut branches, destroying the structure and function of the vessels and creating obstacles to the transport of nutrients and water to the branches. The transcriptome results showed that differentially expressed genes (DEGs) were mainly annotated in carbon metabolism and ribosomes. Further metabolome analyses verified the specific induction of carbohydrate and amino acid biosynthesis by P. capsici. Finally, association analysis was performed for DEGs and differentially expressed metabolites (DEMs), which focused on the synthesis and metabolic pathways of amino acids, carbon metabolism, and secondary metabolites and cofactors. Three significant metabolites were identified: succinic semialdehyde acid, fumaric acid, and phosphoenolpyruvic acid. In conclusion, this study provides data reference on the pathogenesis of walnut branch blight and direction for breeding walnut to enhance its disease resistance.
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Becker C, Berthomé R, Delavault P, Flutre T, Fréville H, Gibot-Leclerc S, Le Corre V, Morel JB, Moutier N, Muños S, Richard-Molard C, Westwood J, Courty PE, de Saint Germain A, Louarn G, Roux F. The ecologically relevant genetics of plant-plant interactions. TRENDS IN PLANT SCIENCE 2023; 28:31-42. [PMID: 36114125 DOI: 10.1016/j.tplants.2022.08.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 08/03/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
Interactions among plants have been long recognized as a major force driving plant community dynamics and crop yield. Surprisingly, our knowledge of the ecological genetics associated with variation of plant-plant interactions remains limited. In this opinion article by scientists from complementary disciplines, the international PLANTCOM network identified four timely questions to foster a better understanding of the mechanisms mediating plant assemblages. We propose that by identifying the key relationships among phenotypic traits involved in plant-plant interactions and the underlying adaptive genetic and molecular pathways, while considering environmental fluctuations at diverse spatial and time scales, we can improve predictions of genotype-by-genotype-by-environment interactions and modeling of productive and stable plant assemblages in wild habitats and crop fields.
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Affiliation(s)
- Claude Becker
- Genetics, Faculty of Biology, Ludwig Maximilians-University, 82152 Martinsried, Germany
| | - Richard Berthomé
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | | | - Timothée Flutre
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, 91190 Gif-sur-Yvette, France
| | - Hélène Fréville
- AGAP, Université Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Stéphanie Gibot-Leclerc
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Valérie Le Corre
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Jean-Benoit Morel
- PHIM Plant Health Institute, Université Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
| | - Nathalie Moutier
- Institute for Genetics, Environment and Plant Protection (IGEPP), INRAE, Institut Agro, Université Rennes 1, 35650 Le Rheu, France
| | - Stéphane Muños
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Céline Richard-Molard
- Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, 78850 Thiverval-Grignon, France
| | - James Westwood
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
| | - Pierre-Emmanuel Courty
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Alexandre de Saint Germain
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), 78000 Versailles, France
| | | | - Fabrice Roux
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.
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Duan H, Li J, Sun Y, Xiong X, Sun L, Li W, Gao J, Li N, Zhang J, Cui J, Fu Z, Zhang X, Tang J. Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis. Front Genet 2022; 13:1004211. [PMID: 36437932 PMCID: PMC9691904 DOI: 10.3389/fgene.2022.1004211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/28/2022] [Indexed: 11/13/2022] Open
Abstract
Leaf angle (LA) is a key component of maize plant architecture that can simultaneously govern planting density and improve final yield. However, the genetic mechanisms underlying LA have not been fully addressed. To broaden our understanding of its genetic basis, we scored three LA-related traits on upper, middle, and low leaves of 492 maize inbred lines in five environments. Phenotypic data revealed that the three LA-related traits were normally distributed, and significant variation was observed among environments and genotypes. A genome-wide association study (GWAS) was then performed to dissect the genetic factors that control natural variation in maize LA. In total, 85 significant SNPs (involving 32 non-redundant QTLs) were detected (p ≤ 2.04 × 10–6), and individual QTL explained 4.80%–24.09% of the phenotypic variation. Five co-located QTL were detected in at least two environments, and two QTLs were co-located with multiple LA-related traits. Forty-seven meta-QTLs were identified based on meta-analysis combing 294 LA-related QTLs extracted from 18 previously published studies, 816 genes were identified within these meta-QTLs, and seven co-located QTLs were jointly identified by both GWAS and meta-analysis. ZmULA1 was located in one of the co-located QTLs, qLA7, and its haplotypes, hap1 and hap2, differed significantly in LA-related traits. Interestingly, the temperate materials with hap2 had smallest LA. Finally, we also performed haplotype analysis using the reported genes that regulate LA, and identified a lot of maize germplasms that aggregated favorable haplotypes. These results will be helpful for elucidating the genetic basis of LA and breeding new maize varieties with ideal plant architecture.
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Affiliation(s)
- Haiyang Duan
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Jianxin Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Yan Sun
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xuehang Xiong
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Li Sun
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Wenlong Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Jionghao Gao
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Na Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Junli Zhang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jiangkuan Cui
- College of Plant Protection, Henan Agricultural University, Zhengzhou, China
| | - Zhiyuan Fu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xuehai Zhang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
- *Correspondence: Xuehai Zhang, ; Jihua Tang,
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
- The Shennong Laboratory, Zhengzhou, China
- *Correspondence: Xuehai Zhang, ; Jihua Tang,
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Zou K, Li Y, Zhang W, Jia Y, Wang Y, Ma Y, Lv X, Xuan Y, Du W. Early infection response of fungal biotroph Ustilago maydis in maize. FRONTIERS IN PLANT SCIENCE 2022; 13:970897. [PMID: 36161006 PMCID: PMC9504671 DOI: 10.3389/fpls.2022.970897] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/15/2022] [Indexed: 05/03/2023]
Abstract
Common smut, caused by Ustilago maydis (DC.) Corda, is a destructive fungal disease of maize worldwide; it forms large tumors, reducing corn yield and quality. However, the molecular defense mechanism to common smut in maize remains unclear. The present study aimed to use a leading maize inbred line Ye478 to analyze the response to U. maydis inoculation. The histological and cytological analyses demonstrated that U. maydis grew gradually to the host cells 6 h post-inoculation (hpi). The samples collected at 0, 3, 6, and 12 hpi were analyzed to assess the maize transcriptomic changes in response to U. maydis. The results revealed differences in hormone signaling, glycometabolism, and photosynthesis after U. maydis infection; specific changes were detected in jasmonic acid (JA), salicylic acid (SA), ethylene (ET), and abscisic acid (ABA) signaling pathways, glycolysis/gluconeogenesis, and photosystems I and II, probably related to defense response. MapMan analysis demonstrated that the differentially expressed genes between the treatment and control groups were clustered into light reaction and photorespiration pathways. In addition, U. maydis inoculation induced chloroplast swelling and damage, suggesting a significant effect on the chloroplast activity and subsequent metabolic process, especially hexose metabolism. A further genetic study using wild-type and galactinol-sucrose galactosyltransferase (gsg) and yellow-green leaf-1 (ygl-1) mutants identified that these two U. maydis-induced genes negatively regulated defense against common smut in maize. Our measurements showed the pathogen early-invasion process, and the key pathways of both chlorophyll biosynthesis and sugar transportation were critical modified in the infected maize line, thereby throwing a light on the molecular mechanisms in the maize-U. maydis interaction.
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Affiliation(s)
- Kunkun Zou
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Yang Li
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Wenjie Zhang
- College of Agronomy, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Yunfeng Jia
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Yang Wang
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Yuting Ma
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Xiangling Lv
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
| | - Yuanhu Xuan
- College of Plant Protection, Shenyang Agricultural University, Shenyang, China
| | - Wanli Du
- College of Agronomy, Shenyang Agricultural University, Shenyang, China
- *Correspondence: Wanli Du
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Fixed-Time Synchronization Control of Delayed Dynamical Complex Networks. ENTROPY 2021; 23:e23121610. [PMID: 34945916 PMCID: PMC8700179 DOI: 10.3390/e23121610] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 11/17/2022]
Abstract
Fixed-time synchronization problem for delayed dynamical complex networks is explored in this paper. Compared with some correspondingly existed results, a few new results are obtained to guarantee fixed-time synchronization of delayed dynamical networks model. Moreover, by designing adaptive controller and discontinuous feedback controller, fixed-time synchronization can be realized through regulating the main control parameter. Additionally, a new theorem for fixed-time synchronization is used to reduce the conservatism of the existing work in terms of conditions and the estimate of synchronization time. In particular, we obtain some fixed-time synchronization criteria for a type of coupled delayed neural networks. Finally, the analysis and comparison of the proposed controllers are given to demonstrate the validness of the derived results from one numerical example.
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