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Zhao Y, Zhong X, Xu G, Zhu X, Shi Y, Liu M, Wang R, Kang H, You X, Ning Y, Wang G, Wang X. The F-box protein OsFBX156 positively regulates rice defence against the blast fungus Magnaporthe oryzae by mediating ubiquitination-dependent degradation of OsHSP71.1. MOLECULAR PLANT PATHOLOGY 2024; 25:e13459. [PMID: 38808386 PMCID: PMC11134189 DOI: 10.1111/mpp.13459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 04/01/2024] [Accepted: 04/04/2024] [Indexed: 05/30/2024]
Abstract
F-box protein is a subunit of the SCF (SKP1-CUL1-F-box protein) E3 ubiquitin ligase complex, which plays a critical role in regulating different pathways in plant immunity. In this study, we identified the rice (Oryza sativa) F-box protein OsFBX156, which targets the heat shock protein 70 (OsHSP71.1) to regulate resistance to the rice blast fungus Magnaporthe oryzae. Overexpression of OsFBX156 or knockout of OsHSP71.1 in rice resulted in the elevation of pathogenesis-related (PR) genes and an induction burst of reactive oxygen species (ROS) after flg22 and chitin treatments, thereby enhancing resistance to M. oryzae. Furthermore, OsFBX156 can promote the degradation of OsHSP71.1 through the 26S proteasome pathway. This study sheds lights on a novel mechanism wherein the F-box protein OsFBX156 targets OsHSP71.1 for degradation to promote ROS production and PR gene expression, thereby positively regulating rice innate immunity.
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Affiliation(s)
- Yudan Zhao
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Xionghui Zhong
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China)Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Ministry of AgricultureBeijingChina
| | - Guojuan Xu
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Xiaoying Zhu
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Yanlong Shi
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Minghao Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural SciencesShenzhenChina
| | - Ruyi Wang
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Houxiang Kang
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Xiaoman You
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Yuese Ning
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
| | - Guo‐Liang Wang
- Department of Plant PathologyThe Ohio State UniversityColumbusOhioUSA
| | - Xuli Wang
- State Key Laboratory for Biology of Plant Diseases and Insect PestsInstitute of Plant Protection, Chinese Academy of Agricultural SciencesBeijingChina
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Salojärvi J, Rambani A, Yu Z, Guyot R, Strickler S, Lepelley M, Wang C, Rajaraman S, Rastas P, Zheng C, Muñoz DS, Meidanis J, Paschoal AR, Bawin Y, Krabbenhoft TJ, Wang ZQ, Fleck SJ, Aussel R, Bellanger L, Charpagne A, Fournier C, Kassam M, Lefebvre G, Métairon S, Moine D, Rigoreau M, Stolte J, Hamon P, Couturon E, Tranchant-Dubreuil C, Mukherjee M, Lan T, Engelhardt J, Stadler P, Correia De Lemos SM, Suzuki SI, Sumirat U, Wai CM, Dauchot N, Orozco-Arias S, Garavito A, Kiwuka C, Musoli P, Nalukenge A, Guichoux E, Reinout H, Smit M, Carretero-Paulet L, Filho OG, Braghini MT, Padilha L, Sera GH, Ruttink T, Henry R, Marraccini P, Van de Peer Y, Andrade A, Domingues D, Giuliano G, Mueller L, Pereira LF, Plaisance S, Poncet V, Rombauts S, Sankoff D, Albert VA, Crouzillat D, de Kochko A, Descombes P. The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars. Nat Genet 2024; 56:721-731. [PMID: 38622339 PMCID: PMC11018527 DOI: 10.1038/s41588-024-01695-w] [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: 05/10/2022] [Accepted: 02/23/2024] [Indexed: 04/17/2024]
Abstract
Coffea arabica, an allotetraploid hybrid of Coffea eugenioides and Coffea canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone several population bottlenecks. We present chromosome-level assemblies of a di-haploid C. arabica accession and modern representatives of its diploid progenitors, C. eugenioides and C. canephora. The three species exhibit largely conserved genome structures between diploid parents and descendant subgenomes, with no obvious global subgenome dominance. We find evidence for a founding polyploidy event 350,000-610,000 years ago, followed by several pre-domestication bottlenecks, resulting in narrow genetic variation. A split between wild accessions and cultivar progenitors occurred ~30.5 thousand years ago, followed by a period of migration between the two populations. Analysis of modern varieties, including lines historically introgressed with C. canephora, highlights their breeding histories and loci that may contribute to pathogen resistance, laying the groundwork for future genomics-based breeding of C. arabica.
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Affiliation(s)
- Jarkko Salojärvi
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, Singapore.
| | - Aditi Rambani
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Zhe Yu
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - Romain Guyot
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Colombia
| | - Susan Strickler
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Maud Lepelley
- Société des Produits Nestlé SA, Nestlé Research, Tours, France
| | - Cui Wang
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Sitaram Rajaraman
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Pasi Rastas
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Chunfang Zheng
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - Daniella Santos Muñoz
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - João Meidanis
- Institute of Computing, University of Campinas, Campinas, Brazil
| | - Alexandre Rossi Paschoal
- Department of Computer Science, The Federal University of Technology - Paraná (UTFPR), Cornélio Procópio, Brazil
| | - Yves Bawin
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | | | - Zhen Qin Wang
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Steven J Fleck
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Rudy Aussel
- Société des Produits Nestlé SA, Nestlé Research, Tours, France
- Centre d'Immunologie de Marseille-Luminy, Aix Marseille Université, Marseille, France
| | | | - Aline Charpagne
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Coralie Fournier
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Mohamed Kassam
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Gregory Lefebvre
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Sylviane Métairon
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Déborah Moine
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Michel Rigoreau
- Société des Produits Nestlé SA, Nestlé Research, Tours, France
| | - Jens Stolte
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Perla Hamon
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
| | - Emmanuel Couturon
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
| | | | - Minakshi Mukherjee
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Tianying Lan
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA
| | - Jan Engelhardt
- Department of Computer Science, University of Leipzig, Leipzig, Germany
| | - Peter Stadler
- Department of Computer Science, University of Leipzig, Leipzig, Germany
- Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
| | | | | | - Ucu Sumirat
- Indonesian Coffee and Cocoa Research Institute (ICCRI), Jember, Indonesia
| | - Ching Man Wai
- University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Nicolas Dauchot
- Research Unit in Plant Cellular and Molecular Biology, University of Namur, Namur, Belgium
| | - Simon Orozco-Arias
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Colombia
| | - Andrea Garavito
- Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas y Naturales, Universidad de Caldas, Manizales, Colombia
| | - Catherine Kiwuka
- National Agricultural Research Organization (NARO), Entebbe, Uganda
| | - Pascal Musoli
- National Agricultural Research Organization (NARO), Entebbe, Uganda
| | - Anne Nalukenge
- National Agricultural Research Organization (NARO), Entebbe, Uganda
| | - Erwan Guichoux
- Biodiversité Gènes & Communautés, INRA, Bordeaux, France
| | | | - Martin Smit
- Hortus Botanicus Amsterdam, Amsterdam, the Netherlands
| | | | - Oliveiro Guerreiro Filho
- Instituto Agronômico (IAC) Centro de Café 'Alcides Carvalho', Fazenda Santa Elisa, Campinas, Brazil
| | - Masako Toma Braghini
- Instituto Agronômico (IAC) Centro de Café 'Alcides Carvalho', Fazenda Santa Elisa, Campinas, Brazil
| | - Lilian Padilha
- Embrapa Café/Instituto Agronômico (IAC) Centro de Café 'Alcides Carvalho', Fazenda Santa Elisa, Campinas, Brazil
| | | | - Tom Ruttink
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia
| | - Pierre Marraccini
- CIRAD - UMR DIADE (IRD-CIRAD-Université de Montpellier) BP 64501, Montpellier, France
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
- College of Horticulture, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, China
- Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - Alan Andrade
- Embrapa Café/Inovacafé Laboratory of Molecular Genetics Campus da UFLA-MG, Lavras, Brazil
| | - Douglas Domingues
- Group of Genomics and Transcriptomes in Plants, São Paulo State University, UNESP, Rio Claro, Brazil
| | - Giovanni Giuliano
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development, ENEA Casaccia Research Center, Rome, Italy
| | - Lukas Mueller
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Luiz Filipe Pereira
- Embrapa Café/Lab. Biotecnologia, Área de Melhoramento Genético, Londrina, Brazil
| | | | - Valerie Poncet
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France
| | - Stephane Rombauts
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Center for Plant Systems Biology, VIB, Ghent, Belgium
| | - David Sankoff
- Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario, Canada
| | - Victor A Albert
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, USA.
| | | | - Alexandre de Kochko
- Institut de Recherche pour le Développement (IRD), Université de Montpellier, Montpellier, France.
| | - Patrick Descombes
- Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland.
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Page R, Huang S, Ronen M, Sela H, Sharon A, Shrestha S, Poland J, Steffenson BJ. Genome-wide association mapping of rust resistance in Aegilops longissima. FRONTIERS IN PLANT SCIENCE 2023; 14:1196486. [PMID: 37575932 PMCID: PMC10413114 DOI: 10.3389/fpls.2023.1196486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/30/2023] [Indexed: 08/15/2023]
Abstract
The rust diseases, including leaf rust caused by Puccinia triticina (Pt), stem rust caused by P. graminis f. sp. tritici (Pgt), and stripe rust caused by P. striiformis f. sp. tritici (Pst), are major limiting factors in wheat production worldwide. Identification of novel sources of rust resistance genes is key to developing cultivars resistant to rapidly evolving pathogen populations. Aegilops longissima is a diploid wild grass native to the Levant and closely related to the modern bread wheat D subgenome. To explore resistance genes in the species, we evaluated a large panel of Ae. longissima for resistance to several races of Pt, Pgt, and Pst, and conducted a genome-wide association study (GWAS) to map rust resistance loci in the species. A panel of 404 Ae. longissima accessions, mostly collected from Israel, were screened for seedling-stage resistance to four races of Pt, four races of Pgt, and three races of Pst. Out of the 404 accessions screened, two were found that were resistant to all 11 races of the three rust pathogens screened. The percentage of all accessions screened that were resistant to a given rust pathogen race ranged from 18.5% to 99.7%. Genotyping-by-sequencing (GBS) was performed on 381 accessions of the Ae. longissima panel, wherein 125,343 single nucleotide polymorphisms (SNPs) were obtained after alignment to the Ae. longissima reference genome assembly and quality control filtering. Genetic diversity analysis revealed the presence of two distinct subpopulations, which followed a geographic pattern of a northern and a southern subpopulation. Association mapping was performed in the genotyped portion of the collection (n = 381) and in each subpopulation (n = 204 and 174) independently via a single-locus mixed-linear model, and two multi-locus models, FarmCPU, and BLINK. A large number (195) of markers were significantly associated with resistance to at least one of 10 rust pathogen races evaluated, nine of which are key candidate markers for further investigation due to their detection via multiple models and/or their association with resistance to more than one pathogen race. The novel resistance loci identified will provide additional diversity available for use in wheat breeding.
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Affiliation(s)
- Rae Page
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, United States
| | - Shuyi Huang
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, United States
| | - Moshe Ronen
- Institute for Cereal Crops Research, Tel Aviv University, Tel Aviv, Israel
| | - Hanan Sela
- Institute for Cereal Crops Research, Tel Aviv University, Tel Aviv, Israel
| | - Amir Sharon
- Institute for Cereal Crops Research, Tel Aviv University, Tel Aviv, Israel
- School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel
| | - Sandesh Shrestha
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
| | - Jesse Poland
- Department of Plant Pathology, Kansas State University, Manhattan, KS, United States
- Plant Science Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- KAUST Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Brian J. Steffenson
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, United States
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Saxena H, Negi H, Sharma B. Role of F-box E3-ubiquitin ligases in plant development and stress responses. PLANT CELL REPORTS 2023:10.1007/s00299-023-03023-8. [PMID: 37195503 DOI: 10.1007/s00299-023-03023-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 04/27/2023] [Indexed: 05/18/2023]
Abstract
KEY MESSAGE F-box E3-ubiquitin ligases regulate critical biological processes in plant development and stress responses. Future research could elucidate why and how plants have acquired a large number of F-box genes. The ubiquitin-proteasome system (UPS) is a predominant regulatory mechanism employed by plants to maintain the protein turnover in the cells and involves the interplay of three classes of enzymes, E1 (ubiquitin-activating), E2 (ubiquitin-conjugating), and E3 ligases. The diverse and most prominent protein family among eukaryotes, F-box proteins, are a vital component of the multi-subunit SCF (Skp1-Cullin 1-F-box) complex among E3 ligases. Several F-box proteins with multifarious functions in different plant systems have evolved rapidly over time within closely related species, but only a small part has been characterized. We need to advance our understanding of substrate-recognition regulation and the involvement of F-box proteins in biological processes and environmental adaptation. This review presents a background of E3 ligases with particular emphasis on the F-box proteins, their structural assembly, and their mechanism of action during substrate recognition. We discuss how the F-box proteins regulate and participate in the signaling mechanisms of plant development and environmental responses. We highlight an urgent need for research on the molecular basis of the F-box E3-ubiquitin ligases in plant physiology, systems biology, and biotechnology. Further, the developments and outlooks of the potential technologies targeting the E3-ubiquitin ligases for developing crop improvement strategies have been discussed.
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Affiliation(s)
- Harshita Saxena
- Institute of Plant Breeding, Genetics, and Genomics, University of Georgia Griffin Campus, 1109 Experiment Street, Griffin, GA, 30223, USA
| | - Harshita Negi
- Department of Biological Sciences, University of South Carolina, 715 Sumter Street, Columbia, SC, 29208, USA
| | - Bhaskar Sharma
- School of Life and Environmental Sciences, Deakin University, Geelong Waurn Ponds Campus, Geelong, VIC, 3216, Australia.
- Department of Botany and Plant Sciences, University of California-Riverside, Riverside, CA, 92521, USA.
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Su C, Cui J, Liu Y, Luan Y. Genome-wide identification and characterization of the tomato F-box associated (FBA) protein family and expression analysis of their responsiveness to Phytophthora infestans. Gene 2022; 821:146335. [PMID: 35182672 DOI: 10.1016/j.gene.2022.146335] [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: 11/22/2021] [Revised: 01/22/2022] [Accepted: 02/11/2022] [Indexed: 11/04/2022]
Abstract
Late blight caused by Phytophthora infestans brings huge economic losses to the production of tomato (Solanum lycopersicum) every year. F-box proteins participate in plants response to phytohormones and biotic stress, whereas as the largest subfamily of F-box superfamily, the detailed information about F-box associated (SlFBA) family in tomato has been rarely reported. In this study, a total of 46 tomato FBA genes were identified based on the latest genome annotation. Phylogenetic analysis revealed that the FBA proteins from tomato and 6 different plant species were clustered into 7 distinct clades. The SlFBA genes were unevenly distributed on 11 chromosomes of tomato, mainly concentrated in the regions with high gene density. Tandem duplications and purification selection contribute to the expansion and evolution of the SlFBA gene family. Transcriptome analysis revealed that the SlFBA genes were differentially expressed in different tissues with obvious tissue-specific expression patterns. There were 18 SlFBA genes differentially expressed in P. infestans-resistant and -susceptible tomato, among which, 3 SlFBA genes might play positive roles in tomato resistance to P. infestans. Taken together, this study systematically analyzed the SlFBA genes family for the first time and identified the candidate SlFBA genes that affect tomato resistance to P. infestans, which provided important genetic and breeding resources for improving tomato resistance to pathogens.
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Affiliation(s)
- Chenglin Su
- School of Bioengineering, Dalian University of Technology, Dalian 116033, China
| | - Jun Cui
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory for Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, China
| | - Yarong Liu
- School of Bioengineering, Dalian University of Technology, Dalian 116033, China
| | - Yushi Luan
- School of Bioengineering, Dalian University of Technology, Dalian 116033, China.
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Li Y, Yapa MM, Hua Z. A Machine Learning Approach to Prioritizing Functionally Active F-box Members in Arabidopsis thaliana. FRONTIERS IN PLANT SCIENCE 2021; 12:639253. [PMID: 34122469 PMCID: PMC8192846 DOI: 10.3389/fpls.2021.639253] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
Protein degradation through the Ubiquitin (Ub)-26S Proteasome System (UPS) is a major gene expression regulatory pathway in plants. In this pathway, the 76-amino acid Ub proteins are covalently linked onto a large array of UPS substrates with the help of three enzymes (E1 activating, E2 conjugating, and E3 ligating enzymes) and direct them for turnover in the 26S proteasome complex. The S-phase Kinase-associated Protein 1 (Skp1), CUL1, F-box (FBX) protein (SCF) complexes have been identified as the largest E3 ligase group in plants due to the dramatic number expansion of the FBX genes in plant genomes. Since it is the FBX proteins that recognize and determine the specificity of SCF substrates, much effort has been done to characterize their genomic, physiological, and biochemical roles in the past two decades of functional genomic studies. However, the sheer size and high sequence diversity of the FBX gene family demands new approaches to uncover unknown functions. In this work, we first identified 82 known FBX members that have been functionally characterized up to date in Arabidopsis thaliana. Through comparing the genomic structure, evolutionary selection, expression patterns, domain compositions, and functional activities between known and unknown FBX gene members, we developed a neural network machine learning approach to predict whether an unknown FBX member is likely functionally active in Arabidopsis, thereby facilitating its future functional characterization.
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Affiliation(s)
- Yang Li
- Department of Environmental and Plant Biology, Ohio University, Athens, OH, United States
| | - Madhura M. Yapa
- Department of Environmental and Plant Biology, Ohio University, Athens, OH, United States
| | - Zhihua Hua
- Department of Environmental and Plant Biology, Ohio University, Athens, OH, United States
- Interdisciplinary Program in Molecular and Cellular Biology, Ohio University, Athens, OH, United States
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Hua Z. Diverse Evolution in 111 Plant Genomes Reveals Purifying and Dosage Balancing Selection Models for F-Box Genes. Int J Mol Sci 2021; 22:E871. [PMID: 33467195 PMCID: PMC7829749 DOI: 10.3390/ijms22020871] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/13/2021] [Accepted: 01/13/2021] [Indexed: 12/14/2022] Open
Abstract
The F-box proteins function as substrate receptors to determine the specificity of Skp1-Cul1-F-box ubiquitin ligases. Genomic studies revealed large and diverse sizes of the F-box gene superfamily across plant species. Our previous studies suggested that the plant F-box gene superfamily is under genomic drift evolution promoted by epigenomic programming. However, how the size of the superfamily drifts across plant genomes is currently unknown. Through a large-scale genomic and phylogenetic comparison of the F-box gene superfamily covering 110 green plants and one red algal species, I discovered four distinct groups of plant F-box genes with diverse evolutionary processes. While the members in Clusters 1 and 2 are species/lineage-specific, those in Clusters 3 and 4 are present in over 46 plant genomes. Statistical modeling suggests that F-box genes from the former two groups are skewed toward fewer species and more paralogs compared to those of the latter two groups whose presence frequency and sizes in plant genomes follow a random statistical model. The enrichment of known Arabidopsis F-box genes in Clusters 3 and 4, along with comprehensive biochemical evidence showing that Arabidopsis members in Cluster 4 interact with the Arabidopsis Skp1-like 1 (ASK1), demonstrates over-representation of active F-box genes in these two groups. Collectively, I propose purifying and dosage balancing selection models to explain the lineage/species-specific duplications and expansions of F-box genes in plant genomes. The purifying selection model suggests that most, if not all, lineage/species-specific F-box genes are detrimental and are thus kept at low frequencies in plant genomes.
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Affiliation(s)
- Zhihua Hua
- Interdisciplinary Program in Molecular and Cellular Biology, Department of Environmental and Plant Biology, Ohio University, Athens, OH 45701, USA
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Pogoda CS, Reinert S, Talukder ZI, Attia Z, Collier-Zans ECE, Gulya TJ, Kane NC, Hulke BS. Genetic loci underlying quantitative resistance to necrotrophic pathogens Sclerotinia and Diaporthe (Phomopsis), and correlated resistance to both pathogens. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:249-259. [PMID: 33106896 DOI: 10.1007/s00122-020-03694-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
We provide results rooted in quantitative genetics, which combined with knowledge of candidate gene function, helps us to better understand the resistance to two major necrotrophic pathogens of sunflower. Necrotrophic pathogens can avoid or even benefit from plant defenses used against biotrophic pathogens, and thus represent a distinct challenge to plant populations in natural and agricultural systems. Sclerotinia and Phomopsis/Diaporthe are detrimental pathogens for many dicotyledonous plants, including many economically important plants. With no well-established methods to prevent infection in susceptible plants, host-plant resistance is currently the most effective strategy. Despite knowledge of a moderate, positive correlation in resistance to the two diseases in sunflower, detailed analysis of the genetics, in the same populations, has not been conducted. We present results of genome-wide analysis of resistance to both pathogens in a diversity panel of 218 domesticated sunflower genotypes of worldwide origin. We identified 14 Sclerotinia head rot and 7 Phomopsis stem canker unique QTLs, plus 1 co-located QTL for both traits, and observed extensive patterns of linkage disequilibrium between sites for both traits. Most QTLs contained one credible candidate gene, and gene families were common for the two disease resistance traits. These results suggest there has been strong, simultaneous selection for resistance to these two diseases and that a generalized mechanism for defense against these necrotrophic pathogens exists.
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Affiliation(s)
- Cloe S Pogoda
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Stephan Reinert
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Zahirul I Talukder
- Department of Plant Sciences, North Dakota State University, 166 Loftsgard Hall, Fargo, ND, 58108-6050, USA
| | - Ziv Attia
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Erin C E Collier-Zans
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Thomas J Gulya
- USDA-ARS Edward T Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND, 58102-2765, USA
| | - Nolan C Kane
- Ecology and Evolutionary Biology Department, University of Colorado, 1900 Pleasant Street, 334 UCB, Boulder, CO, 80309-0334, USA
| | - Brent S Hulke
- USDA-ARS Edward T Schafer Agricultural Research Center, 1616 Albrecht Blvd. N., Fargo, ND, 58102-2765, USA.
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9
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Yang Z, Yang Z, Yang C, Wang Z, Chen D, Xie Y, Wu Y. Identification and genetic analysis of alternative splicing of long non-coding RNAs in tomato initial flowering stage. Genomics 2019; 112:897-907. [PMID: 31175976 DOI: 10.1016/j.ygeno.2019.06.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 05/19/2019] [Accepted: 06/04/2019] [Indexed: 01/07/2023]
Abstract
Alternative splicing (AS) is a key modulator of development in many eukaryotic organisms. Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs that play essential regulatory roles in various developmental processes and stress responses. However, the functions of AS lncRNAs during the initial flowering of tomato are largely unknown. This study was designed to investigate the AS pattern of lncRNAs in tomato flower, leaf, and root tissues at the initial flowering stage. Using RNA-Seq, we found that 72.55% of lncRNAs underwent AS in these tissues, yielding a total of 16,995 AS events. Among them, the main type of AS event is alternative first exon (AFE), followed by retained intron (RI). We performed candidate target genes analysis on tissue-specific AS lncRNA, and the results indicated that the candidate target genes of these lncRNAs may be involved in the regulation of circadian rhythm, plant immunity, cellulose synthesis and phosphate-containing compound metabolic process. Moreover, a total of 73,085 putative SNPs and 15,679 InDels were detected, and the potential relationship between the AS of lncRNAs and interesting SNP and InDel loci, as well as their numbers, revealed their effects on tomato genetic diversity and genomic stability. Our data provide new insights into the complexity of the transcriptome and the regulation of AS.
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Affiliation(s)
- Zhenchao Yang
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China
| | - Zhao Yang
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China
| | - Chengcheng Yang
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China
| | - Zhengyan Wang
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China
| | - Danyan Chen
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China
| | - Yingge Xie
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China.
| | - Yongjun Wu
- College of Horticulture, College of Life Sciences, College of Science, Northwest A&F University, Yangling, Shaan Xi, China.
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10
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Baier M, Bittner A, Prescher A, van Buer J. Preparing plants for improved cold tolerance by priming. PLANT, CELL & ENVIRONMENT 2019; 42:782-800. [PMID: 29974962 DOI: 10.1111/pce.13394] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 06/21/2018] [Accepted: 06/25/2018] [Indexed: 05/26/2023]
Abstract
Cold is a major stressor, which limits plant growth and development in many parts of the world, especially in the temperate climate zones. A large number of experimental studies has demonstrated that not only acclimation and entrainment but also the experience of single short stress events of various abiotic or biotic kinds (priming stress) can improve the tolerance of plants to chilling temperatures. This process, called priming, depends on a stress "memory". It does not change cold sensitivity per se but beneficially modifies the response to cold and can last for days, months, or even longer. Elicitor factors and antagonists accumulate due to increased biosynthesis or decreased degradation either during or after the priming stimulus. Comparison of priming studies investigating improved tolerance to chilling temperatures highlighted key regulatory functions of ROS/RNS and antioxidant enzymes, plant hormones, especially jasmonates, salicylates, and abscisic acid, and signalling metabolites, such as β- and γ-aminobutyric acid (BABA and GABA) and melatonin. We conclude that these elicitors and antagonists modify local and systemic cold tolerance by integration into cold-induced signalling cascades.
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Affiliation(s)
- Margarete Baier
- Plant Physiology, Dahlem Centre of Plant Sciences, Free University of Berlin, Berlin, Germany
| | - Andras Bittner
- Plant Physiology, Dahlem Centre of Plant Sciences, Free University of Berlin, Berlin, Germany
| | - Andreas Prescher
- Plant Physiology, Dahlem Centre of Plant Sciences, Free University of Berlin, Berlin, Germany
| | - Jörn van Buer
- Plant Physiology, Dahlem Centre of Plant Sciences, Free University of Berlin, Berlin, Germany
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11
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The role of chloroplasts in plant pathology. Essays Biochem 2018; 62:21-39. [PMID: 29273582 DOI: 10.1042/ebc20170020] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 11/22/2017] [Accepted: 11/28/2017] [Indexed: 12/13/2022]
Abstract
Plants have evolved complex tolerance systems to survive abiotic and biotic stresses. Central to these programmes is a sophisticated conversation of signals between the chloroplast and the nucleus. In this review, we examine the antagonism between abiotic stress tolerance (AST) and immunity: we propose that to generate immunogenic signals, plants must disable AST systems, in particular those that manage reactive oxygen species (ROS), while the pathogen seeks to reactivate or enhance those systems to achieve virulence. By boosting host systems of AST, pathogens trick the plant into suppressing chloroplast immunogenic signals and steer the host into making an inappropriate immune response. Pathogens disrupt chloroplast function, both transcriptionally-by secreting effectors that alter host gene expression by interacting with defence-related kinase cascades, with transcription factors, or with promoters themselves-and post-transcriptionally, by delivering effectors that enter the chloroplast or alter the localization of host proteins to change chloroplast activities. These mechanisms reconfigure the chloroplast proteome and chloroplast-originating immunogenic signals in order to promote infection.
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12
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Fernandes LDS, Royaert S, Corrêa FM, Mustiga GM, Marelli JP, Corrêa RX, Motamayor JC. Mapping of a Major QTL for Ceratocystis Wilt Disease in an F1 Population of Theobroma cacao. FRONTIERS IN PLANT SCIENCE 2018; 9:155. [PMID: 29491879 PMCID: PMC5817064 DOI: 10.3389/fpls.2018.00155] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 01/29/2018] [Indexed: 05/31/2023]
Abstract
Cacao is an important crop, its beans are key raw materials for the chocolate and cosmetic industries. Ceratocystis wilt of cacao (CWC) caused by Ceratocystis cacaofunesta is a lethal disease for the crop. Therefore, the selection of resistant cacao varieties is one of the viable ways to minimize losses in cacao production. In this paper, we described the identification of a major QTL associated with CWC in an F1 mapping population from a cross between a resistant, "TSH 1188," and a susceptible genotype, "CCN 51." A set of 266 trees were genotyped using 3,526 single nucleotide polymorphic markers and then multiple QTL mapping analyses were performed. Two QTLs were identified on chromosomes IV and VI. The major QTL was located at 20 cM from the top position of chromosome VI, accounting for more than 60% of the phenotypic variation. The favorable allele T1, with haplotype GTT, came from the "TSH 1188" parent. It was evident that the haplotype combination T1C2 on chromosome VI was the most significant for resistance, since 93% of resistant trees had this haplotype. The major QTL converged to a genomic region of 739.4 kb that harbored nine candidate genes, including two major classes of resistance genes, which would make them the primary candidates involved in the resistance to CWC. The haplotypes detected are now used to improve the efficiency and precision of the selection of resistant trees in cacao breeding.
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Affiliation(s)
| | - Stefan Royaert
- Statistics, Universidade Estadual de Santa Cruz, Ilhéus, Brazil
| | - Fábio M. Corrêa
- Statistics, Universidade Estadual de Santa Cruz, Ilhéus, Brazil
| | | | | | - Ronan X. Corrêa
- Statistics, Universidade Estadual de Santa Cruz, Ilhéus, Brazil
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