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Li J, Wyatt NA, Skiba RM, Kariyawasam GK, Richards JK, Effertz K, Rehman S, Liu Z, Brueggeman RS, Friesen TL. Variability in Chromosome 1 of Select Moroccan Pyrenophora teres f. teres Isolates Overcomes a Highly Effective Barley Chromosome 6H Source of Resistance. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2024; 37:676-687. [PMID: 38888557 DOI: 10.1094/mpmi-10-23-0159-r] [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: 06/20/2024]
Abstract
Barley net form net blotch (NFNB) is a destructive foliar disease caused by Pyrenophora teres f. teres. Barley line CIho5791, which harbors the broadly effective chromosome 6H resistance gene Rpt5, displays dominant resistance to P. teres f. teres. To genetically characterize P. teres f. teres avirulence/virulence on the barley line CIho5791, we generated a P. teres f. teres mapping population using a cross between the Moroccan CIho5791-virulent isolate MorSM40-3 and the avirulent reference isolate 0-1. Full genome sequences were generated for 103 progenies. Saturated chromosome-level genetic maps were generated, and quantitative trait locus (QTL) mapping identified two major QTL associated with P. teres f. teres avirulence/virulence on CIho5791. The most significant QTL mapped to chromosome (Ch) 1, where the virulent allele was contributed by MorSM40-3. A second QTL mapped to Ch8; however, this virulent allele was contributed by the avirulent parent 0-1. The Ch1 and Ch8 loci accounted for 27 and 15% of the disease variation, respectively, and the avirulent allele at the Ch1 locus was epistatic over the virulent allele at the Ch8 locus. As a validation, we used a natural P. teres f. teres population in a genome-wide association study that identified the same Ch1 and Ch8 loci. We then generated a new reference quality genome assembly of parental isolate MorSM40-3 with annotation supported by deep transcriptome sequencing of infection time points. The annotation identified candidate genes predicted to encode small, secreted proteins, one or more of which are likely responsible for overcoming the CIho5791 resistance. [Formula: see text] The author(s) have dedicated the work to the public domain under the Creative Commons CC0 "No Rights Reserved" license by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law, 2024.
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Affiliation(s)
- Jinling Li
- Department of Plant Pathology, North Dakota State University, Fargo, ND 58102, U.S.A
| | - Nathan A Wyatt
- Department of Plant Pathology, North Dakota State University, Fargo, ND 58102, U.S.A
- Sugarbeet and Potato Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND 58102, U.S.A
| | - Ryan M Skiba
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND 58102, U.S.A
| | - Gayan K Kariyawasam
- Department of Plant Pathology, North Dakota State University, Fargo, ND 58102, U.S.A
| | - Jonathan K Richards
- Department of Plant Pathology and Crop Physiology, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, U.S.A
| | - Karl Effertz
- Department of Crop and Soil Science, Washington State University, Pullman, WA 99164, U.S.A
| | - Sajid Rehman
- Biodiversity and Crop Improvement Program, International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat 10100, Morocco
- Field Crop Development Center of the Olds College, Lacombe, Alberta T4L1W8, Canada
| | - Zhaohui Liu
- Department of Plant Pathology, North Dakota State University, Fargo, ND 58102, U.S.A
| | - Robert S Brueggeman
- Department of Crop and Soil Science, Washington State University, Pullman, WA 99164, U.S.A
| | - Timothy L Friesen
- Department of Plant Pathology, North Dakota State University, Fargo, ND 58102, U.S.A
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND 58102, U.S.A
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Zambounis A, Boutsika A, Gray N, Hossain M, Chatzidimopoulos M, Tsitsigiannis DI, Paplomatas E, Hane J. Pan-genome survey of Septoria pistaciarum, causal agent of Septoria leaf spot of pistachios, across three Aegean sub-regions of Greece. Front Microbiol 2024; 15:1396760. [PMID: 38919498 PMCID: PMC11196620 DOI: 10.3389/fmicb.2024.1396760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 05/20/2024] [Indexed: 06/27/2024] Open
Abstract
Septoria pistaciarum, a causal agent of Septoria leaf spot disease of pistachio, is a fungal pathogen that causes substantial losses in the cultivation, worldwide. This study describes the first pan-genome-based survey of this phytopathogen-comprising a total of 27 isolates, with 9 isolates each from 3 regional units of Greece (Pieria, Larissa and Fthiotida). The reference isolate (SPF8) assembled into a total of 43.1 Mb, with 38.6% contained within AT-rich regions of approximately 37.5% G:C. The genomes of the 27 isolates exhibited on average 42% gene-coding and 20% repetitive regions. The genomes of isolates from the southern Fthiotida region appeared to more diverged from each other than the other regions based on SNP-derived trees, and also contained isolates similar to both the Pieria and Larissa regions. In contrast, isolates of the Pieria and Larissa were less diverse and distinct from one another. Asexual reproduction appeared to be typical, with no MAT1-2 locus detected in any isolate. Genome-based prediction of infection mode indicated hemibiotrophic and saprotrophic adaptations, consistent with its long latent phase. Gene prediction and orthology clustering generated a pan-genome-wide gene set of 21,174 loci. A total of 59 ortholog groups were predicted to contain candidate effector proteins, with 36 (61%) of these either having homologs to known effectors from other species or could be assigned predicted functions from matches to conserved domains. Overall, effector prediction suggests that S. pistaciarum employs a combination of defensive effectors with roles in suppression of host defenses, and offensive effectors with a range of cytotoxic activities. Some effector-like ortholog groups presented as divergent versions of the same protein, suggesting region-specific adaptations may have occurred. These findings provide insights and future research directions in uncovering the pathogenesis and population dynamics of S. pistaciarum toward the efficient management of Septoria leaf spot of pistachio.
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Affiliation(s)
- Antonios Zambounis
- Hellenic Agricultural Organization - DIMITRA (ELGO - DIMITRA), Institute of Plant Breeding and Genetic Resources, Thessaloniki, Greece
| | - Anastasia Boutsika
- Hellenic Agricultural Organization - DIMITRA (ELGO - DIMITRA), Institute of Plant Breeding and Genetic Resources, Thessaloniki, Greece
| | - Naomi Gray
- Centre for Crop and Disease Management, Department of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
| | - Mohitul Hossain
- Centre for Crop and Disease Management, Department of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
| | - Michael Chatzidimopoulos
- Laboratory of Plant Pathology, Department of Agriculture, International Hellenic University, Thessaloniki, Greece
| | - Dimitrios I. Tsitsigiannis
- Laboratory of Plant Pathology, Department of Crop Science, Agricultural University of Athens, Athens, Greece
| | - Epaminondas Paplomatas
- Laboratory of Plant Pathology, Department of Crop Science, Agricultural University of Athens, Athens, Greece
| | - James Hane
- Centre for Crop and Disease Management, Department of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
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Rozano L, Jones DAB, Hane JK, Mancera RL. Template-Based Modelling of the Structure of Fungal Effector Proteins. Mol Biotechnol 2024; 66:784-813. [PMID: 36940017 PMCID: PMC11043172 DOI: 10.1007/s12033-023-00703-4] [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: 08/31/2022] [Accepted: 02/14/2023] [Indexed: 03/21/2023]
Abstract
The discovery of new fungal effector proteins is necessary to enable the screening of cultivars for disease resistance. Sequence-based bioinformatics methods have been used for this purpose, but only a limited number of functional effector proteins have been successfully predicted and subsequently validated experimentally. A significant obstacle is that many fungal effector proteins discovered so far lack sequence similarity or conserved sequence motifs. The availability of experimentally determined three-dimensional (3D) structures of a number of effector proteins has recently highlighted structural similarities amongst groups of sequence-dissimilar fungal effectors, enabling the search for similar structural folds amongst effector sequence candidates. We have applied template-based modelling to predict the 3D structures of candidate effector sequences obtained from bioinformatics predictions and the PHI-BASE database. Structural matches were found not only with ToxA- and MAX-like effector candidates but also with non-fungal effector-like proteins-including plant defensins and animal venoms-suggesting the broad conservation of ancestral structural folds amongst cytotoxic peptides from a diverse range of distant species. Accurate modelling of fungal effectors were achieved using RaptorX. The utility of predicted structures of effector proteins lies in the prediction of their interactions with plant receptors through molecular docking, which will improve the understanding of effector-plant interactions.
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Affiliation(s)
- Lina Rozano
- Curtin Medical School, Curtin Health Innovation Research Institute, GPO Box U1987, Perth, WA, 6845, Australia
- Curtin Institute for Computation, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia
| | - Darcy A B Jones
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia
- Curtin Institute for Computation, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia
| | - James K Hane
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia
- Curtin Institute for Computation, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia
| | - Ricardo L Mancera
- Curtin Medical School, Curtin Health Innovation Research Institute, GPO Box U1987, Perth, WA, 6845, Australia.
- Curtin Institute for Computation, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia.
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Kahar G, Haxim Y, Waheed A, Bozorov TA, Liu X, Wen X, Zhao M, Zhang D. Multi-Omics Approaches Provide New Insights into the Identification of Putative Fungal Effectors from Valsa mali. Microorganisms 2024; 12:655. [PMID: 38674600 PMCID: PMC11051974 DOI: 10.3390/microorganisms12040655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/22/2024] [Accepted: 03/22/2024] [Indexed: 04/28/2024] Open
Abstract
Pathogenic fungi secrete numerous effectors into host cells to manipulate plants' defense mechanisms. Valsa mali, a necrotrophic fungus, severely impacts apple production in China due to the occurrence of Valsa canker. Here, we predicted 210 candidate effector protein (CEP)-encoding genes from V. mali. The transcriptome analysis revealed that 146 CEP-encoding genes were differentially expressed during the infection of the host, Malus sieversii. Proteome analysis showed that 27 CEPs were differentially regulated during the infection stages. Overall, 25 of the 146 differentially expressed CEP-encoding genes were randomly selected to be transiently expressed in Nicotiana benthamiana. Pathogenicity analysis showed that the transient expression of VM1G-05058 suppressed BAX-triggered cell death while the expression of VM1G-10148 and VM1G-00140 caused cell death in N. benthamiana. In conclusion, by using multi-omics analysis, we identified potential effector candidates for further evaluation in vivo. Our results will provide new insights into the investigation of virulent mechanisms of V. mali.
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Affiliation(s)
- Gulnaz Kahar
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yakupjan Haxim
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
| | - Abdul Waheed
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
| | - Tohir A. Bozorov
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Laboratory of Molecular and Biochemical Genetics, Institute of Genetics and Plants Experimental Biology, Uzbek Academy of Sciences, Yukori-Yuz, Kibray 111226, Tashkent Region, Uzbekistan
| | - Xiaojie Liu
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
| | - Xuejing Wen
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
| | - Mingqi Zhao
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
| | - Daoyuan Zhang
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; (G.K.); (Y.H.); (A.W.); (X.L.); (X.W.); (M.Z.)
- Xinjiang Key Laboratory of Conservation and Utilization of Plant Gene Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences, Turpan 838008, China
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Xie Y, Shi L, Cheng K, Li Y, Yu S. Host Recognition and Specific Infection of Endomelanconiopsis endophytica during Early Infection. J Fungi (Basel) 2023; 9:1040. [PMID: 37888296 PMCID: PMC10607883 DOI: 10.3390/jof9101040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 10/28/2023] Open
Abstract
Coevolution between the pathogen and host plant drives pathogenic effector diversity. However, the molecular mechanism behind host-specific pathogenesis remains to be explored. Here, we present a 43 Mb whole-genome sequence of Endomelanconiopsis endophytica strain LS29, a host-specific pathogen of the common subtropical tree Castanopsis fissa. We described its genome annotations and identified its effector candidates. By performing temporal transcriptome sequencing of E. endophytica on C. fissa during early infection, we found that E. endophytica repressed other microbes in order to attack the tissue of the host by producing antibiotics earlier than 24 h post-inoculation (hpi). Simultaneously, a variety of effectors were secreted to recognize the host plant, but most of them showed a significantly opposing expression regulation trend after 24 hpi, indicating that 24 hpi represents a key time point between host recognition and specific infection. Furthermore, a comparison of isoenzymes showed that only a few effectors were identified as specific effectors, which were involved in hydrolyzing the compounds of the plant cell wall and releasing fatty acids during the early infection of C. fissa. Our results determined host recognition timing and identified a specific catalog of effectors, which are crucial for revealing the molecular mechanism of host-specific pathogenesis.
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Affiliation(s)
- Yan Xie
- Department of Ecology, School of Life Sciences/State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou 510275, China
| | - Liuqing Shi
- Department of Ecology, School of Life Sciences/State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou 510275, China
| | - Keke Cheng
- Department of Ecology, School of Life Sciences/State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou 510275, China
| | - Yang Li
- Department of Ecology, School of Life Sciences/State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou 510275, China
| | - Shixiao Yu
- Department of Ecology, School of Life Sciences/State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou 510275, China
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Ramos-Lizardo GN, Mucherino-Muñoz JJ, Aguiar ERGR, Pirovani CP, Corrêa RX. A repertoire of candidate effector proteins of the fungus Ceratocystis cacaofunesta. Sci Rep 2023; 13:16368. [PMID: 37773261 PMCID: PMC10542334 DOI: 10.1038/s41598-023-43117-7] [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: 01/31/2023] [Accepted: 09/20/2023] [Indexed: 10/01/2023] Open
Abstract
The genus Ceratocystis includes many phytopathogenic fungi that affect different plant species. One of these is Ceratocystis cacaofunesta, which is pathogenic to the cocoa tree and causes Ceratocystis wilt, a lethal disease for the crop. However, little is known about how this pathogen interacts with its host. The knowledge and identification of possible genes encoding effector proteins are essential to understanding this pathosystem. The present work aimed to predict genes that code effector proteins of C. cacaofunesta from a comparative analysis of the genomes of five Ceratocystis species available in databases. We performed a new genome annotation through an in-silico analysis. We analyzed the secretome and effectorome of C. cacaofunesta using the characteristics of the peptides, such as the presence of signal peptide for secretion, absence of transmembrane domain, and richness of cysteine residues. We identified 160 candidate effector proteins in the C. cacaofunesta proteome that could be classified as cytoplasmic (102) or apoplastic (58). Of the total number of candidate effector proteins, 146 were expressed, presenting an average of 206.56 transcripts per million. Our database was created using a robust bioinformatics strategy, followed by manual curation, generating information on pathogenicity-related genes involved in plant interactions, including CAZymes, hydrolases, lyases, and oxidoreductases. Comparing proteins already characterized as effectors in Sordariomycetes species revealed five groups of protein sequences homologous to C. cacaofunesta. These data provide a valuable resource for studying the infection mechanisms of these pathogens in their hosts.
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Affiliation(s)
- Gabriela N Ramos-Lizardo
- Departamento de Ciências Biológicas (DCB), Centro de Biotecnologia e Genética (CBG), Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil
| | - Jonathan J Mucherino-Muñoz
- Departamento de Ciências Biológicas (DCB), Centro de Biotecnologia e Genética (CBG), Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil
| | - Eric R G R Aguiar
- Departamento de Ciências Biológicas (DCB), Centro de Biotecnologia e Genética (CBG), Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil
| | - Carlos Priminho Pirovani
- Departamento de Ciências Biológicas (DCB), Centro de Biotecnologia e Genética (CBG), Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil
| | - Ronan Xavier Corrêa
- Departamento de Ciências Biológicas (DCB), Centro de Biotecnologia e Genética (CBG), Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil.
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Jin P, Kong Y, Zhang Z, Zhang H, Dong Y, Lamour K, Yang Z, Zhou Y, Hu J. Comparative genomics and transcriptome analysis reveals potential pathogenic mechanisms of Microdochium paspali on seashore paspalum. Front Microbiol 2023; 14:1259241. [PMID: 37795300 PMCID: PMC10546424 DOI: 10.3389/fmicb.2023.1259241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 08/31/2023] [Indexed: 10/06/2023] Open
Abstract
The sparse leaf patch of seashore paspalum (Paspalum vaginatum Sw.) caused by Microdochium paspali seriously impacts the landscape value of turf and poses a challenge to the maintenance and management of golf courses. Little is known about the genome of M. paspali or the potential genes underlying pathogenicity. In this study, we present a high-quality genome assembly of M. paspali with 14 contigs using the Nanopore and Illumina platform. The M. paspali genome is roughly 37.32 Mb in size and contains 10,365 putative protein-coding genes. These encompass a total of 3,830 pathogen-host interactions (PHI) genes, 481 carbohydrate-active enzymes (CAZymes) coding genes, 105 effectors, and 50 secondary metabolite biosynthetic gene clusters (SMGCs) predicted to be associated with pathogenicity. Comparative genomic analysis suggests M. paspali has 672 species-specific genes (SSGs) compared to two previously sequenced non-pathogenic Microdochium species, including 24 species-specific gene clusters (SSGCs). Comparative transcriptomic analyses reveal that 739 PHIs, 198 CAZymes, 40 effectors, 21 SMGCs, 213 SSGs, and 4 SSGCs were significantly up-regulated during the process of infection. In conclusion, the study enriches the genomic resources of Microdochium species and provides a valuable resource to characterize the pathogenic mechanisms of M. paspali.
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Affiliation(s)
- Peiyuan Jin
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Yixuan Kong
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Ze Zhang
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Huangwei Zhang
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Yinglu Dong
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Kurt Lamour
- Department of Entomology and Plant Pathology, University of Tennessee Institute of Agriculture, Knoxville, TN, United States
| | - Zhimin Yang
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
| | - Yuxin Zhou
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China
| | - Jian Hu
- College of Agro-grassland Science, Nanjing Agricultural University, Nanjing, China
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Stuer N, Van Damme P, Goormachtig S, Van Dingenen J. Seeking the interspecies crosswalk for filamentous microbe effectors. TRENDS IN PLANT SCIENCE 2023; 28:1045-1059. [PMID: 37062674 DOI: 10.1016/j.tplants.2023.03.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/02/2023] [Accepted: 03/18/2023] [Indexed: 06/19/2023]
Abstract
Both pathogenic and symbiotic microorganisms modulate the immune response and physiology of their host to establish a suitable niche. Key players in mediating colonization outcome are microbial effector proteins that act either inside (cytoplasmic) or outside (apoplastic) the plant cells and modify the abundance or activity of host macromolecules. We compile novel insights into the much-disputed processes of effector secretion and translocation of filamentous organisms, namely fungi and oomycetes. We report how recent studies that focus on unconventional secretion and effector structure challenge the long-standing image of effectors as conventionally secreted proteins that are translocated with the aid of primary amino acid sequence motifs. Furthermore, we emphasize the potential of diverse, unbiased, state-of-the-art proteomics approaches in the holistic characterization of fungal and oomycete effectomes.
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Affiliation(s)
- Naomi Stuer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; Center for Plant Systems Biology, Vlaams Instituut voor Biotechnologie (VIB), 9052 Ghent, Belgium
| | - Petra Van Damme
- iRIP Unit, Laboratory of Microbiology, Department of Biochemistry and Microbiology, Ghent University, Karel Lodewijk Ledeganckstraat 35, 9000 Ghent, Belgium
| | - Sofie Goormachtig
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; Center for Plant Systems Biology, Vlaams Instituut voor Biotechnologie (VIB), 9052 Ghent, Belgium.
| | - Judith Van Dingenen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; Center for Plant Systems Biology, Vlaams Instituut voor Biotechnologie (VIB), 9052 Ghent, Belgium.
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Newman TE, Kim H, Khentry Y, Sohn KH, Derbyshire MC, Kamphuis LG. The broad host range pathogen Sclerotinia sclerotiorum produces multiple effector proteins that induce host cell death intracellularly. MOLECULAR PLANT PATHOLOGY 2023; 24:866-881. [PMID: 37038612 PMCID: PMC10346375 DOI: 10.1111/mpp.13333] [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: 10/18/2022] [Revised: 03/19/2023] [Accepted: 03/20/2023] [Indexed: 06/19/2023]
Abstract
Sclerotinia sclerotiorum is a broad host range necrotrophic fungal pathogen, which causes disease on many economically important crop species. S. sclerotiorum has been shown to secrete small effector proteins to kill host cells and acquire nutrients. We set out to discover novel necrosis-inducing effectors and characterize their activity using transient expression in Nicotiana benthamiana leaves. Five intracellular necrosis-inducing effectors were identified with differing host subcellular localization patterns, which were named intracellular necrosis-inducing effector 1-5 (SsINE1-5). We show for the first time a broad host range pathogen effector, SsINE1, that uses an RxLR-like motif to enter host cells. Furthermore, we provide preliminary evidence that SsINE5 induces necrosis via an NLR protein. All five of the identified effectors are highly conserved in globally sourced S. sclerotiorum isolates. Taken together, these results advance our understanding of the virulence mechanisms employed by S. sclerotiorum and reveal potential avenues for enhancing genetic resistance to this damaging fungal pathogen.
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Affiliation(s)
- Toby E. Newman
- Centre for Crop and Disease Management, School of Molecular and Life SciencesCurtin UniversityBentleyWestern AustraliaAustralia
| | - Haseong Kim
- Plant Immunity Research CenterSeoul National UniversitySeoul08826Republic of Korea
| | - Yuphin Khentry
- Centre for Crop and Disease Management, School of Molecular and Life SciencesCurtin UniversityBentleyWestern AustraliaAustralia
| | - Kee Hoon Sohn
- Plant Immunity Research CenterSeoul National UniversitySeoul08826Republic of Korea
- Department of Agricultural BiotechnologySeoul National UniversitySeoul08826Republic of Korea
- Research Institute of Agriculture and Life SciencesSeoul National UniversitySeoul08826Republic of Korea
| | - Mark C. Derbyshire
- Centre for Crop and Disease Management, School of Molecular and Life SciencesCurtin UniversityBentleyWestern AustraliaAustralia
| | - Lars G. Kamphuis
- Centre for Crop and Disease Management, School of Molecular and Life SciencesCurtin UniversityBentleyWestern AustraliaAustralia
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10
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Weiland P, Dempwolff F, Steinchen W, Freibert S, Tian H, Glatter T, Martin R, Thomma BPHJ, Bange G, Altegoer F. Structural and functional analysis of the cerato-platanin-like protein Cpl1 suggests diverging functions in smut fungi. MOLECULAR PLANT PATHOLOGY 2023; 24:768-787. [PMID: 37171083 PMCID: PMC10257043 DOI: 10.1111/mpp.13349] [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: 07/25/2022] [Revised: 03/28/2023] [Accepted: 04/19/2023] [Indexed: 05/13/2023]
Abstract
Plant-pathogenic fungi are causative agents of the majority of plant diseases and can lead to severe crop loss in infected populations. Fungal colonization is achieved by combining different strategies, such as avoiding and counteracting the plant immune system and manipulating the host metabolome. Of major importance are virulence factors secreted by fungi, which fulfil diverse functions to support the infection process. Most of these proteins are highly specialized, with structural and biochemical information often absent. Here, we present the atomic structures of the cerato-platanin-like protein Cpl1 from Ustilago maydis and its homologue Uvi2 from Ustilago hordei. Both proteins adopt a double-Ψβ-barrel architecture reminiscent of cerato-platanin proteins, a class so far not described in smut fungi. Our structure-function analysis shows that Cpl1 binds to soluble chitin fragments via two extended grooves at the dimer interface of the two monomer molecules. This carbohydrate-binding mode has not been observed previously and expands the repertoire of chitin-binding proteins. Cpl1 localizes to the cell wall of U. maydis and might synergize with cell wall-degrading and decorating proteins during maize infection. The architecture of Cpl1 harbouring four surface-exposed loop regions supports the idea that it might play a role in the spatial coordination of these proteins. While deletion of cpl1 has only mild effects on the virulence of U. maydis, a recent study showed that deletion of uvi2 strongly impairs U. hordei virulence. Our structural comparison between Cpl1 and Uvi2 reveals sequence variations in the loop regions that might explain a diverging function.
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Affiliation(s)
- Paul Weiland
- Center for Synthetic Microbiology (SYNMIKRO), Faculty of ChemistryPhilipps‐University MarburgMarburgGermany
| | - Felix Dempwolff
- Center for Synthetic Microbiology (SYNMIKRO), Faculty of ChemistryPhilipps‐University MarburgMarburgGermany
| | - Wieland Steinchen
- Center for Synthetic Microbiology (SYNMIKRO), Faculty of ChemistryPhilipps‐University MarburgMarburgGermany
| | - Sven‐Andreas Freibert
- Center for Synthetic Microbiology (SYNMIKRO), Institute of CytobiologyPhilipps‐University MarburgMarburgGermany
- Protein Biochemistry and Spectroscopy Core Facility, Institute of CytobiologyPhilipps‐University MarburgMarburgGermany
| | - Hui Tian
- Institute for Plant SciencesUniversity of CologneCologneGermany
| | - Timo Glatter
- Max‐Planck Institute for Terrestrial MicrobiologyMarburgGermany
| | - Roman Martin
- Faculty of Mathematics and Computer SciencePhilipps‐University MarburgMarburgGermany
| | - Bart P. H. J. Thomma
- Institute for Plant SciencesUniversity of CologneCologneGermany
- Cluster of Excellence on Plant Sciences (CEPLAS)CologneGermany
| | - Gert Bange
- Center for Synthetic Microbiology (SYNMIKRO), Faculty of ChemistryPhilipps‐University MarburgMarburgGermany
- Max‐Planck Institute for Terrestrial MicrobiologyMarburgGermany
| | - Florian Altegoer
- Center for Synthetic Microbiology (SYNMIKRO), Faculty of ChemistryPhilipps‐University MarburgMarburgGermany
- Max‐Planck Institute for Terrestrial MicrobiologyMarburgGermany
- Institute of MicrobiologyHeinrich‐Heine‐UniversityDüsseldorfGermany
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11
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Huang J, He Z, Wang J, Zha X, Xiao Q, Liu G, Li Y, Kang J. A Novel Effector FlSp1 Inhibits the Colonization of Endophytic Fusarium lateritium and Increases the Resistance to Ralstonia solanacearum in Tobacco. J Fungi (Basel) 2023; 9:jof9050519. [PMID: 37233229 DOI: 10.3390/jof9050519] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023] Open
Abstract
Effectors are crucial for the interaction between endophytes and their host plants. However, limited attention has been paid to endophyte effectors, with only a few reports published. This work focuses on an effector of Fusarium lateritium, namely FlSp1 (Fusarium-lateritium-Secreted-Protein), a typical unknown secreted protein. The transcription of FlSp1 was up-regulated after 48 h following fungal inoculation in the host plant, i.e., tobacco. The inactivation of FlSp1 with the inhibition rate decreasing by 18% (p < 0.01) resulted in a remarkable increase in the tolerance of F. lateritium to oxidative stress. The transient expression of FlSp1 stimulated the accumulation of reactive oxygen species (ROS) without causing plant necrosis. In comparison with the wild type of F. lateritium (WT), the FlSp1 mutant of the F. lateritium plant (ΔFlSp1) reduced the ROS accumulation and weakened the plant immune response, which resulted in significantly higher colonization in the host plants. Meanwhile, the resistance of the ΔFlSp1 plant to the pathogenic Ralstonia solanacearum, which causes bacterial wilt, was increased. These results suggest that the novel secreted protein FlSp1 might act as an immune-triggering effector to limit fungal proliferation by stimulating the plant immune system through ROS accumulation and thus balance the interaction between the endophytic fungi and their host plants.
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Affiliation(s)
- Jianming Huang
- Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang 550000, China
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Zhangjiang He
- Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang 550000, China
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Jiankang Wang
- Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang 550000, China
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Xingping Zha
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Qing Xiao
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Guihua Liu
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Yongjie Li
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
| | - Jichuan Kang
- Southwest Biomedical Resources of the Ministry of Education, Guizhou University, Guiyang 550000, China
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12
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See PT, Moffat CS. Profiling the Pyrenophora tritici-repentis secretome: The Pf2 transcription factor regulates the secretion of the effector proteins ToxA and ToxB. Mol Microbiol 2023; 119:612-629. [PMID: 37059688 DOI: 10.1111/mmi.15058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 02/13/2023] [Accepted: 03/19/2023] [Indexed: 04/16/2023]
Abstract
The global wheat disease tan spot is caused by the necrotrophic fungal pathogen Pyrenophora tritici-repentis (Ptr) which secretes necrotrophic effectors to facilitate host plant colonization. We previously reported a role of the Zn2 Cys6 binuclear cluster transcription factor Pf2 in the regulation of the Ptr effector ToxA. Here, we show that Pf2 is also a positive regulator of ToxB, via targeted deletion of PtrPf2 which resulted in reduced ToxB expression and defects in conidiation and pathogenicity. To further investigate the function of Ptr Pf2 in regulating protein secretion, the secretome profiles of two Δptrpf2 mutants of two Ptr races (races 1 and 5) were evaluated using a SWATH-mass spectrometry (MS) quantitative approach. Analysis of the secretomes of the Δptrpf2 mutants from in vitro culture filtrate identified more than 500 secreted proteins, with 25% unique to each race. Of the identified proteins, less than 6% were significantly differentially regulated by Ptr Pf2. Among the downregulated proteins were ToxA and ToxB, specific to race 1 and race 5 respectively, demonstrating the role of Ptr Pf2 as a positive regulator of both effectors. Significant motif sequences identified in both ToxA and ToxB putative promoter regions were further explored via GFP reporter assays.
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Affiliation(s)
- Pao Theen See
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australian, 6102, Australia
| | - Caroline S Moffat
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australian, 6102, Australia
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13
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Rozano L, Mukuka YM, Hane JK, Mancera RL. Ab Initio Modelling of the Structure of ToxA-like and MAX Fungal Effector Proteins. Int J Mol Sci 2023; 24:ijms24076262. [PMID: 37047233 PMCID: PMC10094246 DOI: 10.3390/ijms24076262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/09/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023] Open
Abstract
Pathogenic fungal diseases in crops are mediated by the release of effector proteins that facilitate infection. Characterising the structure of these fungal effectors is vital to understanding their virulence mechanisms and interactions with their hosts, which is crucial in the breeding of plant cultivars for disease resistance. Several effectors have been identified and validated experimentally; however, their lack of sequence conservation often impedes the identification and prediction of their structure using sequence similarity approaches. Structural similarity has, nonetheless, been observed within fungal effector protein families, creating interest in validating the use of computational methods to predict their tertiary structure from their sequence. We used Rosetta ab initio modelling to predict the structures of members of the ToxA-like and MAX effector families for which experimental structures are known to validate this method. An optimised approach was then used to predict the structures of phenotypically validated effectors lacking known structures. Rosetta was found to successfully predict the structure of fungal effectors in the ToxA-like and MAX families, as well as phenotypically validated but structurally unconfirmed effector sequences. Interestingly, potential new effector structural families were identified on the basis of comparisons with structural homologues and the identification of associated protein domains.
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14
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Screening of Candidate Effectors from Magnaporthe oryzae by In Vitro Secretomic Analysis. Int J Mol Sci 2023; 24:ijms24043189. [PMID: 36834598 PMCID: PMC9962664 DOI: 10.3390/ijms24043189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/08/2023] Open
Abstract
Magnaporthe oryzae is the causal agent of rice blast, one of the most serious diseases of rice worldwide. Secreted proteins play essential roles during a M. oryzae-rice interaction. Although much progress has been made in recent decades, it is still necessary to systematically explore M. oryzae-secreted proteins and to analyze their functions. This study employs a shotgun-based proteomic analysis to investigate the in vitro secretome of M. oryzae by spraying fungus conidia onto the PVDF membrane to mimic the early stages of infection, during which 3315 non-redundant secreted proteins were identified. Among these proteins, 9.6% (319) and 24.7% (818) are classified as classically or non-classically secreted proteins, while the remaining 1988 proteins (60.0%) are secreted through currently unknown secretory pathway. Functional characteristics analysis show that 257 (7.8%) and 90 (2.7%) secreted proteins are annotated as CAZymes and candidate effectors, respectively. Eighteen candidate effectors are selected for further experimental validation. All 18 genes encoding candidate effectors are significantly up- or down-regulated during the early infection process. Sixteen of the eighteen candidate effectors cause the suppression of BAX-mediated cell death in Nicotiana benthamiana by using an Agrobacterium-mediated transient expression assay, suggesting their involvement in pathogenicity related to secretion effectors. Our results provide high-quality experimental secretome data of M. oryzae and will expand our knowledge on the molecular mechanisms of M. oryzae pathogenesis.
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15
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Blackman C, Subramaniam R. A Bioinformatic Guide to Identify Protein Effectors from Phytopathogens. Methods Mol Biol 2023; 2659:95-101. [PMID: 37249888 DOI: 10.1007/978-1-0716-3159-1_8] [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] [Indexed: 05/31/2023]
Abstract
Phytopathogenic fungi are a diverse and widespread group that has a significant detrimental impact on crops with an estimated annual average loss of 15% worldwide. Understanding the interaction between host plants and pathogenic fungi is critical to delineate underlying mechanisms of plant defense to mitigate agricultural losses. Fungal pathogens utilize suites of secreted molecules, called effectors, to modulate plant metabolism and immune response to overcome host defenses and promote colonization. Effectors come in many flavors including proteinaceous products, small RNAs, and metabolites such as mycotoxins. This review will focus on methods for identifying protein effectors from fungi. Excellent reviews have been published to identify secondary metabolites and small RNAs from fungi and therefore will not be part of this review.
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Affiliation(s)
- Christopher Blackman
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Rajagopal Subramaniam
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada.
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16
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Jensen C, Korolev A, Corredor-Moreno P, Minter F, Dodds PN, Saunders DGO. Caveats of Using Bacterial Type Three Secretion Assays for Validating Fungal Avirulence Effectors in Wheat. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2022; 35:1061-1066. [PMID: 36445162 DOI: 10.1094/mpmi-08-22-0167-sc] [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: 06/16/2023]
Abstract
Functional characterization of effector proteins of fungal obligate biotrophic pathogens, especially confirmation of avirulence (Avr) properties, has been notoriously difficult, due to the experimental intractability of many of these organisms. Previous studies in wheat have shown promising data suggesting the type III secretion system (T3SS) of bacteria may be a suitable surrogate for delivery and detection of Avr properties of fungal effectors. However, these delivery systems were tested in the absence of confirmed Avr effectors. Here, we tested two previously described T3SS-mediated delivery systems for their suitability when delivering two confirmed Avr effectors from two fungal pathogens of wheat, Puccinia graminis f. sp. tritici and Magnaporthe oryzae pathotype tritici. We showed that both effectors (AvrSr50 and AvrRmg8) were unable to elicit a hypersensitive response on wheat seedlings with the corresponding resistance gene when expressed by the Pseudomonas fluorescens "Effector to Host Analyser" (EtHAn) system. Furthermore, we found the utility of Burkholderia glumae for screening Avr phenotypes is severely limited, as the wild-type strain elicits nonhost cell death in multiple wheat accessions. These results provide valuable insight into the suitability of these systems for screening fungal effectors for Avr properties that may help guide further development of surrogate bacterial delivery systems in wheat. [Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
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Affiliation(s)
- Cassandra Jensen
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
| | - Andrey Korolev
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
| | | | - Francesca Minter
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
| | - Peter N Dodds
- CSIRO Agriculture and Food Australia, GPO Box 1700, Clunies Ross Street, Canberra ACT 2601, Australia
| | - Diane G O Saunders
- John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
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17
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Carreón-Anguiano KG, Todd JNA, Chi-Manzanero BH, Couoh-Dzul OJ, Islas-Flores I, Canto-Canché B. WideEffHunter: An Algorithm to Predict Canonical and Non-Canonical Effectors in Fungi and Oomycetes. Int J Mol Sci 2022; 23:13567. [PMID: 36362353 PMCID: PMC9653874 DOI: 10.3390/ijms232113567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/25/2022] [Accepted: 11/01/2022] [Indexed: 11/09/2022] Open
Abstract
Newer effectorome prediction algorithms are considering effectors that may not comply with the canonical characteristics of small, secreted, cysteine-rich proteins. The use of effector-related motifs and domains is an emerging strategy for effector identification, but its use has been limited to individual species, whether oomycete or fungal, and certain domains and motifs have only been associated with one or the other. The use of these strategies is important for the identification of novel, non-canonical effectors (NCEs) which we have found to constitute approximately 90% of the effectoromes. We produced an algorithm in Bash called WideEffHunter that is founded on integrating three key characteristics: the presence of effector motifs, effector domains and homology to validated existing effectors. Interestingly, we found similar numbers of effectors with motifs and domains within two different taxonomic kingdoms: fungi and oomycetes, indicating that with respect to their effector content, the two organisms may be more similar than previously believed. WideEffHunter can identify the entire effectorome (non-canonical and canonical effectors) of oomycetes and fungi whether pathogenic or non-pathogenic, unifying effector prediction in these two kingdoms as well as the two different lifestyles. The elucidation of complete effectoromes is a crucial step towards advancing effectoromics and disease management in agriculture.
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Affiliation(s)
- Karla Gisel Carreón-Anguiano
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Jewel Nicole Anna Todd
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Bartolomé Humberto Chi-Manzanero
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Osvaldo Jhosimar Couoh-Dzul
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Ignacio Islas-Flores
- Unidad de Bioquímica y Biología Molecular de Plantas, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Blondy Canto-Canché
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
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18
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Todd JNA, Carreón-Anguiano KG, Islas-Flores I, Canto-Canché B. Microbial Effectors: Key Determinants in Plant Health and Disease. Microorganisms 2022; 10:1980. [PMID: 36296254 PMCID: PMC9610748 DOI: 10.3390/microorganisms10101980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/17/2022] Open
Abstract
Effectors are small, secreted molecules that alter host cell structure and function, thereby facilitating infection or triggering a defense response. Effectoromics studies have focused on effectors in plant-pathogen interactions, where their contributions to virulence are determined in the plant host, i.e., whether the effector induces resistance or susceptibility to plant disease. Effector molecules from plant pathogenic microorganisms such as fungi, oomycetes and bacteria are major disease determinants. Interestingly, the effectors of non-pathogenic plant organisms such as endophytes display similar functions but have different outcomes for plant health. Endophyte effectors commonly aid in the establishment of mutualistic interactions with the plant and contribute to plant health through the induction of systemic resistance against pathogens, while pathogenic effectors mainly debilitate the plant's immune response, resulting in the establishment of disease. Effectors of plant pathogens as well as plant endophytes are tools to be considered in effectoromics for the development of novel strategies for disease management. This review aims to present effectors in their roles as promotors of health or disease for the plant host.
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Affiliation(s)
- Jewel Nicole Anna Todd
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Karla Gisel Carreón-Anguiano
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Ignacio Islas-Flores
- Unidad de Bioquímica y Biología Molecular de Plantas, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
| | - Blondy Canto-Canché
- Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico
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19
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Dal'Sasso TCDS, Rocha VDD, Rody HVS, Costa MDBL, Oliveira LOD. The necrosis- and ethylene-inducing peptide 1-like protein (NLP) gene family of the plant pathogen Corynespora cassiicola. Curr Genet 2022; 68:645-659. [PMID: 36098767 DOI: 10.1007/s00294-022-01252-0] [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: 05/20/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 11/25/2022]
Abstract
Effectors are secreted by plant-associated microorganisms to modify the host cell physiology. As effectors, the Necrosis- and Ethylene-inducing peptide 1-like proteins (NLPs) are involded in the early phases of plant infection and may trigger host immune responses. Corynespora cassiicola is a polyphagous plant pathogen that causes target spot on many agriculturally important crops. Using genome assembly, gene prediction, and proteome annotation tools, we retrieved 135 NLP-encoding genes from proteomes of 44 isolates. We explored the evolutionary history of NLPs using Bayesian phylogeny, gene genealogies, and selection analyses. We accessed the expression profiles of the NLP genes during the early phase of C. cassiicola-soybean interaction. Three NLP putative-effector genes (Cc_NLP1.1, Cc_NLP1.2A, and Cc_NLP1.2B) were maintained in the genomes of all isolates tested. An NLP putative-non-effector gene (Cc_NLP1.3) was found in three isolates that had been originally obtained from soybean. Putative-effector NLPs were under different selective constraints: Cc_NLP1.1 was under stronger selective pressure, while Cc_NLP1.2A was under a more relaxed constraint. Meanwhile, Cc_NLP1.2B likely evolved under either positive or balancing selection. Despite highly divergent, the putative-effector NLPs maintain conserved the residues necessary to trigger plant immune responses, suggesting they are potentially functional. Only the Cc_NLP1.1 putative-effector gene was significantly expressed at the early hours of soybean colonization, while Cc_NLP1.2A and Cc_NLP1.2B showed much lower levels of gene expression.
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Affiliation(s)
| | | | - Hugo Vianna Silva Rody
- Departamento de Genética, Universidade de São Paulo/Escola Superior de Agricultura "Luiz de Queiroz", Piracicaba, Brazil
| | | | - Luiz Orlando de Oliveira
- Departamento de Bioquímica e Biologia Molecular, Universidade Federal de Viçosa, Viçosa, Brazil.
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20
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Kuang W, Zhang L, Ye L, Ma J, Shi X, Lin Y, Sun X, Cui R. Genome and Transcriptome Sequencing Analysis of Fusarium commune Provides Insights into the Pathogenic Mechanisms of the Lotus Rhizome Rot. Microbiol Spectr 2022; 10:e0017522. [PMID: 35867414 PMCID: PMC9431280 DOI: 10.1128/spectrum.00175-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 06/04/2022] [Indexed: 11/20/2022] Open
Abstract
Fusarium wilt, a vascular wilt caused by F. commune, has been a serious problem for the lotus. Although some F. commune isolate genomes have been sequenced, little is known about the genomic information of the strain that causes Fusarium wilt of aquatic plants. In this study, the genome of F. commune FCN23 isolated from lotuses in China was sequenced using Illumina and PacBio sequencing platforms. The FCN23 genome consisted of 53 scaffolds with a combined size of 46,211,149 bp. According to the reference genome, F. oxysporum f. sp. lycopersici 4287 isolated from tomato, it was finally assembled into 14 putative chromosomes, including 10 core and 4 lineage-specific chromosomes. The genome contains about 3.45% repeats and encodes 14,698 putative protein-coding genes. Among these, 1,038 and 296 proteins were potentially secreted proteins and candidate effector proteins, respectively. Comparative genomic analysis showed that the CAZyme-coding genes and secondary metabolite biosynthesis genes of FCN23 were similar to those of other Ascomycetes. Additionally, the transcriptome of FCN23 during infection of lotus was analyzed and 7,013 differentially expressed genes were identified. Eight putative effectors that were upregulated in the infection stage were cloned. Among them, F23a002499 exhibited strong hypersensitive response after transiently expressed in Nicotiana benthamiana leaves. Our results provide a valuable genetic basis for understanding the molecular mechanism of the interaction between F. commune and aquatic plants. IMPORTANCE Fusarium commune is an important soilborne pathogen with a wide range of hosts and can cause Fusarium wilt of land plants. However, there are few studies on Fusarium wilt of aquatic plants. Lotus rhizome rot mainly caused by F. commune is a devastating disease that causes extensive yield and quality losses in China. Here, we obtained high-quality genomic information of the FCN23 using Illumina NovaSeq and the third-generation sequencing technology PacBio Sequel II. Compared to the reference genome F. oxysporum f. sp. lycopersici strain 4287, it contains 11 core and 3 lineage-specific chromosomes. Many differentially expressed genes associated with pathogenicity were identified by RNA sequencing. The genome and transcriptome sequences of FCN23 will provide important genomic information and insights into the infection mechanisms of F. commune on aquatic plants.
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Affiliation(s)
- Weigang Kuang
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Lianhu Zhang
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Lifang Ye
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Jian Ma
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Xugen Shi
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Yachun Lin
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Xiaotang Sun
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Ruqiang Cui
- College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
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21
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Li X, Yang S, Zhang M, Yang Y, Peng L. Identification of Pathogenicity-Related Effector Proteins and the Role of Piwsc1 in the Virulence of Penicillium italicum on Citrus Fruits. J Fungi (Basel) 2022; 8:jof8060646. [PMID: 35736129 PMCID: PMC9224591 DOI: 10.3390/jof8060646] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/12/2022] [Accepted: 06/16/2022] [Indexed: 02/01/2023] Open
Abstract
Blue mold caused by Penicillium italicum is one of the two major postharvest diseases of citrus fruits. The interactions of pathogens with their hosts are complicated, and virulence factors that mediate pathogenicity have not yet been identified. In present study, a prediction pipeline approach based on bioinformatics and transcriptomic data is designed to determine the effector proteins of P. italicum. Three hundred and seventy-five secreted proteins of P. italicum were identified, many of which (29.07%) were enzymes for carbohydrate utilization. Twenty-nine candidates were further analyzed and the expression patterns of 12 randomly selected candidate effector genes were monitored during the early stages of growth on PDA and infection of Navel oranges for validation. Functional analysis of a cell wall integrity-related gene Piwsc1, a core candidate, was performed by gene knockout. The deletion of Piwsc1 resulted in reduced virulence on citrus fruits, as presented by an approximate 57% reduction in the diameter of lesions. In addition, the mycelial growth rate, spore germination rate, and sporulation of ΔPiwsc1 decreased. The findings provide us with new insights to understand the pathogenesis of P. italicum and develop an effective and sustainable control method for blue mold.
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22
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Kang S, Kim KT, Choi J, Kim H, Cheong K, Bandara A, Lee YH. Genomics and Informatics, Conjoined Tools Vital for Understanding and Protecting Plant Health. PHYTOPATHOLOGY 2022; 112:981-995. [PMID: 34889667 DOI: 10.1094/phyto-10-21-0418-rvw] [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: 06/13/2023]
Abstract
Genomics' impact on crop production continuously expands. The number of sequenced plant and microbial species and strains representing diverse populations of individual species rapidly increases thanks to the advent of next-generation sequencing technologies. Their genomic blueprints revealed candidate genes involved in various functions and processes crucial for crop health and helped in understanding how the sequenced organisms have evolved at the genome level. Functional genomics quickly translates these blueprints into a detailed mechanistic understanding of how such functions and processes work and are regulated; this understanding guides and empowers efforts to protect crops from diverse biotic and abiotic threats. Metagenome analyses help identify candidate microbes crucial for crop health and uncover how microbial communities associated with crop production respond to environmental conditions and cultural practices, presenting opportunities to enhance crop health by judiciously configuring microbial communities. Efficient conversion of disparate types of massive genomics data into actionable knowledge requires a robust informatics infrastructure supporting data preservation, analysis, and sharing. This review starts with an overview of how genomics came about and has quickly transformed life science. We illuminate how genomics and informatics can be applied to investigate various crop health-related problems using selected studies. We end the review by noting why community empowerment via crowdsourcing is crucial to harnessing genomics to protect global food and nutrition security without continuously expanding the environmental footprint of crop production.
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Affiliation(s)
- Seogchan Kang
- Department of Plant Pathology and Environmental Microbiology, Pennsylvania State University, University Park, PA 16802, U.S.A
| | - Ki-Tae Kim
- Department of Agricultural Life Science, Sunchon National University, Suncheon 57922, Korea
| | - Jaeyoung Choi
- Korea Institute of Science and Technology Gangneung Institute of Natural Products, Gangneung 25451, Korea
| | - Hyun Kim
- Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea
| | - Kyeongchae Cheong
- Plant Immunity Research Center, Seoul National University, Seoul 08826, Korea
| | - Ananda Bandara
- Department of Plant Pathology and Environmental Microbiology, Pennsylvania State University, University Park, PA 16802, U.S.A
| | - Yong-Hwan Lee
- Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea
- Plant Immunity Research Center, Seoul National University, Seoul 08826, Korea
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23
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Severn-Ellis AA, Schoeman MH, Bayer PE, Hane JK, Rees DJG, Edwards D, Batley J. Genome Analysis of the Broad Host Range Necrotroph Nalanthamala psidii Highlights Genes Associated With Virulence. FRONTIERS IN PLANT SCIENCE 2022; 13:811152. [PMID: 35283890 PMCID: PMC8914235 DOI: 10.3389/fpls.2022.811152] [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: 11/08/2021] [Accepted: 01/18/2022] [Indexed: 06/14/2023]
Abstract
Guava wilt disease is caused by the fungus Nalanthamala psidii. The wilt disease results in large-scale destruction of orchards in South Africa, Taiwan, and several Southeast Asian countries. De novo assembly, annotation, and in-depth analysis of the N. psidii genome were carried out to facilitate the identification of characteristics associated with pathogenicity and pathogen evolution. The predicted secretome revealed a range of CAZymes, proteases, lipases and peroxidases associated with plant cell wall degradation, nutrient acquisition, and disease development. Further analysis of the N. psidii carbohydrate-active enzyme profile exposed the broad-spectrum necrotrophic lifestyle of the pathogen, which was corroborated by the identification of putative effectors and secondary metabolites with the potential to induce tissue necrosis and cell surface-dependent immune responses. Putative regulatory proteins including transcription factors and kinases were identified in addition to transporters potentially involved in the secretion of secondary metabolites. Transporters identified included important ABC and MFS transporters involved in the efflux of fungicides. Analysis of the repetitive landscape and the detection of mechanisms linked to reproduction such as het and mating genes rendered insights into the biological complexity and evolutionary potential of N. psidii as guava pathogen. Hence, the assembly and annotation of the N. psidii genome provided a valuable platform to explore the pathogenic potential and necrotrophic lifestyle of the guava wilt pathogen.
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Affiliation(s)
- Anita A. Severn-Ellis
- School of Biological Sciences, Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
- Aquaculture Research and Development, Department of Primary Industries and Regional Development, Indian Ocean Marine Research Centre, Watermans Bay, WA, Australia
| | - Maritha H. Schoeman
- Institute for Tropical and Subtropical Crops, Agricultural Research Council, Nelspruit, South Africa
| | - Philipp E. Bayer
- School of Biological Sciences, Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
| | - James K. Hane
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - D. Jasper G. Rees
- Agricultural Research Council, Biotechnology Platform, Pretoria, South Africa
- Botswana University of Agriculture and Natural Resources, Gaborone, Botswana
| | - David Edwards
- School of Biological Sciences, Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
| | - Jacqueline Batley
- School of Biological Sciences, Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
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24
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Huang Z, Li H, Zhou Y, Bao Y, Duan Z, Wang C, Powell CA, Chen B, Zhang M, Yao W. Predication of the Effector Proteins Secreted by Fusarium sacchari Using Genomic Analysis and Heterogenous Expression. J Fungi (Basel) 2022; 8:jof8010059. [PMID: 35049998 PMCID: PMC8780550 DOI: 10.3390/jof8010059] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/27/2021] [Accepted: 01/05/2022] [Indexed: 01/01/2023] Open
Abstract
One of the causative agents of pokkah boeng disease (PBD), which affects sugarcane crops globally, is the fungus Fusarium sacchari. These fungal infections reduce sugar quality and yield, resulting in severe economic losses. Effector proteins play important roles in the interactions between pathogenic fungi and plants. Here, we used bioinformatic prediction approaches to identify 316 candidate secreted effector proteins (CSEPs) in the complete genome of F. sacchari. In total, 95 CSEPs contained known conserved structures, representing 40 superfamilies and 18 domains, while an additional 91 CSEPs contained seven known motifs. Of the 130 CSEPs containing no known domains or motifs, 14 contained one of four novel motifs. A heterogeneous expression system in Nicotiana benthamiana was used to investigate the functions of 163 CSEPs. Seven CSEPs suppressed BAX-triggered programmed cell death in N. benthamiana, while four caused cell death in N. benthamiana. The expression profiles of these eleven CSEPs during F. sacchari infection suggested that they may be involved in sugarcane-F. sacchari interaction. Our results establish a basis for further studies of the role of effector molecules in pathogen–sugarcane interactions, and provide a framework for future predictions of pathogen effector molecules.
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Affiliation(s)
- Zhen Huang
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | - Huixue Li
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | - Yuming Zhou
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | - Yixue Bao
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | - Zhenzhen Duan
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | - Caixia Wang
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | | | - Baoshan Chen
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
| | - Muqing Zhang
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
- IRREC-IFAS, University of Florida, Fort Pierce, FL 34945, USA;
- Correspondence: (M.Z.); (W.Y.)
| | - Wei Yao
- State Key Lab for Conservation and Utilization of Subtropical Agri-Biological Resources, Guangxi Key Lab of Sugarcane Biology, Guangxi University, Nanning 530005, China; (Z.H.); (H.L.); (Y.Z.); (Y.B.); (Z.D.); (C.W.); (B.C.)
- IRREC-IFAS, University of Florida, Fort Pierce, FL 34945, USA;
- Correspondence: (M.Z.); (W.Y.)
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25
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Meng Y, Zeng F, Hu J, Li P, Xiao S, Zhou L, Gong J, Liu Y, Hao Z, Cao Z, Dong J. Novel factors contributing to fungal pathogenicity at early stages of Setosphaeria turcica infection. MOLECULAR PLANT PATHOLOGY 2022; 23:32-44. [PMID: 34628700 PMCID: PMC8659557 DOI: 10.1111/mpp.13140] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/07/2021] [Accepted: 09/07/2021] [Indexed: 05/06/2023]
Abstract
The fungal pathogen Setosphaeria turcica causes leaf blight on maize, which leads to considerable crop losses. However, how S. turcica establishes sustained systemic infection is largely unknown. Here, we report several novel factors contributing to S. turcica pathogenicity, identified using a genomic and transcriptional screen at different stages of S. turcica appressorium development. We identified two cytoskeleton regulators, SLM1 and SLM2, that are crucial for hypha and appressorium development. The SLM1 and SLM2 transcripts accumulated during germling stage but their levels were notably reduced at the appressorium stage. Deletion of SLM2 dramatically affected cell morphology, penetration ability, and pathogenicity. We also identified three different types of S. turcica glycosyl hydrolases that are critical for plant cell wall degradation. Their transcripts accumulated during the appressorium infection stage induced by cellophane and maize leaf. Most importantly, we characterized a novel and specific S. turcica effector, appressorium-coupled effector 1 (StACE1), whose expression is coupled to appressorium formation in S. turcica. This protein is required for maize infection and induces cell death on expression in Nicotiana benthamiana. These observations suggest that the phytopathogen S. turcica is primed in advance with multiple strategies for maize infection, which are coupled to appressorium formation at the early infection stages.
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Affiliation(s)
- Yanan Meng
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Fanli Zeng
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Jingjing Hu
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Pan Li
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Shenglin Xiao
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Lihong Zhou
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Jiangang Gong
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Yuwei Liu
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Zhimin Hao
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- College of Life SciencesHebei Agricultural UniversityBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
| | - Zhiyan Cao
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
- College of Plant ProtectionHebei Agricultural UniversityBaodingChina
| | - Jingao Dong
- State Key Laboratory of North China Crop Improvement and RegulationBaodingChina
- Key Laboratory of Hebei Province for Plant Physiology and Molecular PathologyHebeiChina
- College of Plant ProtectionHebei Agricultural UniversityBaodingChina
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26
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Nagel JH, Wingfield MJ, Slippers B. Next-generation sequencing provides important insights into the biology and evolution of the Botryosphaeriaceae. FUNGAL BIOL REV 2021. [DOI: 10.1016/j.fbr.2021.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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27
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An automated and combinative method for the predictive ranking of candidate effector proteins of fungal plant pathogens. Sci Rep 2021; 11:19731. [PMID: 34611252 PMCID: PMC8492765 DOI: 10.1038/s41598-021-99363-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 09/16/2021] [Indexed: 01/29/2023] Open
Abstract
Fungal plant-pathogens promote infection of their hosts through the release of 'effectors'-a broad class of cytotoxic or virulence-promoting molecules. Effectors may be recognised by resistance or sensitivity receptors in the host, which can determine disease outcomes. Accurate prediction of effectors remains a major challenge in plant pathology, but if achieved will facilitate rapid improvements to host disease resistance. This study presents a novel tool and pipeline for the ranking of predicted effector candidates-Predector-which interfaces with multiple software tools and methods, aggregates disparate features that are relevant to fungal effector proteins, and applies a pairwise learning to rank approach. Predector outperformed a typical combination of secretion and effector prediction methods in terms of ranking performance when applied to a curated set of confirmed effectors derived from multiple species. We present Predector ( https://github.com/ccdmb/predector ) as a useful tool for the ranking of predicted effector candidates, which also aggregates and reports additional supporting information relevant to effector and secretome prediction in a simple, efficient, and reproducible manner.
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28
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He Y, Zhou X, Li J, Li H, Li Y, Nie Y. In Vitro Secretome Analysis Suggests Differential Pathogenic Mechanisms between Fusarium oxysporum f. sp. cubense Race 1 and Race 4. Biomolecules 2021; 11:1353. [PMID: 34572566 PMCID: PMC8466104 DOI: 10.3390/biom11091353] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/07/2021] [Accepted: 09/10/2021] [Indexed: 11/16/2022] Open
Abstract
Banana Fusarium wilt, caused by the fungus pathogen Fusarium oxysporum f. sp. cubense (Foc), is a devastating disease that causes tremendous reductions in banana yield worldwide. Secreted proteins can act as pathogenicity factors and play important roles in the Foc-banana interactions. In this study, a shotgun-based proteomic approach was employed to characterize and compare the secretomes of Foc1 and Foc4 upon banana extract treatment, which detected 1183 Foc1 and 2450 Foc4 proteins. Comprehensive in silico analyses further identified 447 Foc1 and 433 Foc4 proteins in the classical and non-classical secretion pathways, while the remaining proteins might be secreted through currently unknown mechanisms. Further analyses showed that the secretomes of Foc1 and Foc4 are similar in their overall functional characteristics and share largely conserved repertoires of CAZymes and effectors. However, we also identified a number of potentially important pathogenicity factors that are differentially present in Foc1 and Foc4, which may contribute to their different pathogenicity against banana hosts. Furthermore, our quantitative PCR analysis revealed that genes encoding secreted pathogenicity factors differ significantly between Foc1 and Foc4 in their expression regulation in response to banana extract treatment. To our knowledge, this is the first experimental secretome analysis that focused on the pathogenicity mechanism in different Foc races. The results of this study provide useful resources for further exploration of the complicated pathogenicity mechanisms in Foc.
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Affiliation(s)
- Yanqiu He
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (J.L.); (H.L.)
- College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Xiaofan Zhou
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (J.L.); (H.L.)
- College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Jieling Li
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (J.L.); (H.L.)
- College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Huaping Li
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (J.L.); (H.L.)
- College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Yunfeng Li
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (J.L.); (H.L.)
- College of Plant Protection, South China Agricultural University, Guangzhou 510642, China
| | - Yanfang Nie
- College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China
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29
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Jones DAB, Moolhuijzen PM, Hane JK. Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi. Microb Genom 2021; 7. [PMID: 34468307 PMCID: PMC8715435 DOI: 10.1099/mgen.0.000637] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Plant diseases caused by fungal pathogens are typically initiated by molecular interactions between 'effector' molecules released by a pathogen and receptor molecules on or within the plant host cell. In many cases these effector-receptor interactions directly determine host resistance or susceptibility. The search for fungal effector proteins is a developing area in fungal-plant pathology, with more than 165 distinct confirmed fungal effector proteins in the public domain. For a small number of these, novel effectors can be rapidly discovered across multiple fungal species through the identification of known effector homologues. However, many have no detectable homology by standard sequence-based search methods. This study employs a novel comparison method (RemEff) that is capable of identifying protein families with greater sensitivity than traditional homology-inference methods, leveraging a growing pool of confirmed fungal effector data to enable the prediction of novel fungal effector candidates by protein family association. Resources relating to the RemEff method and data used in this study are available from https://figshare.com/projects/Effector_protein_remote_homology/87965.
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Affiliation(s)
- Darcy A B Jones
- Centre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Perth, Australia
| | - Paula M Moolhuijzen
- Centre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Perth, Australia
| | - James K Hane
- Centre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Perth, Australia.,Curtin Institute for Computation, Curtin University, Perth, Australia
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30
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Dong AY, Wang Z, Huang JJ, Song BA, Hao GF. Bioinformatic tools support decision-making in plant disease management. TRENDS IN PLANT SCIENCE 2021; 26:953-967. [PMID: 34039514 DOI: 10.1016/j.tplants.2021.05.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 02/10/2021] [Accepted: 05/01/2021] [Indexed: 06/12/2023]
Abstract
Food loss due to pathogens is a major concern in agriculture, requiring the need for advanced disease detection and prevention measures to minimize pathogen damage to plants. Novel bioinformatic tools have opened doors for the low-cost rapid identification of pathogens and prevention of disease. The number of these tools is growing fast and a comprehensive and comparative summary of these resources is currently lacking. Here, we review all current bioinformatic tools used to identify the mechanisms of pathogen pathogenicity, plant resistance protein identification, and the detection and treatment of plant disease. We compare functionality, data volume, data sources, performance, and applicability of all tools to provide a comprehensive toolbox for researchers in plant disease management.
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Affiliation(s)
- An-Yu Dong
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China
| | - Zheng Wang
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China
| | - Jun-Jie Huang
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China
| | - Bao-An Song
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China
| | - Ge-Fei Hao
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
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31
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Andronis CE, Hane JK, Bringans S, Hardy GESJ, Jacques S, Lipscombe R, Tan KC. Gene Validation and Remodelling Using Proteogenomics of Phytophthora cinnamomi, the Causal Agent of Dieback. Front Microbiol 2021; 12:665396. [PMID: 34394023 PMCID: PMC8360494 DOI: 10.3389/fmicb.2021.665396] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/18/2021] [Indexed: 11/13/2022] Open
Abstract
Phytophthora cinnamomi is a pathogenic oomycete that causes plant dieback disease across a range of natural ecosystems and in many agriculturally important crops on a global scale. An annotated draft genome sequence is publicly available (JGI Mycocosm) and suggests 26,131 gene models. In this study, soluble mycelial, extracellular (secretome), and zoospore proteins of P. cinnamomi were exploited to refine the genome by correcting gene annotations and discovering novel genes. By implementing the diverse set of sub-proteomes into a generated proteogenomics pipeline, we were able to improve the P. cinnamomi genome annotation. Liquid chromatography mass spectrometry was used to obtain high confidence peptides with spectral matching to both the annotated genome and a generated 6-frame translation. Two thousand seven hundred sixty-four annotations from the draft genome were confirmed by spectral matching. Using a proteogenomic pipeline, mass spectra were used to edit the P. cinnamomi genome and allowed identification of 23 new gene models and 60 edited gene features using high confidence peptides obtained by mass spectrometry, suggesting a rate of incorrect annotations of 3% of the detectable proteome. The novel features were further validated by total peptide support, alongside functional analysis including the use of Gene Ontology and functional domain identification. We demonstrated the use of spectral data in combination with our proteogenomics pipeline can be used to improve the genome annotation of important plant diseases and identify missed genes. This study presents the first use of spectral data to edit and manually annotate an oomycete pathogen.
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Affiliation(s)
- Christina E Andronis
- Centre for Crop and Disease Management, Curtin University, Bentley, WA, Australia.,Proteomics International, Nedlands, WA, Australia
| | - James K Hane
- Centre for Crop and Disease Management, Curtin University, Bentley, WA, Australia.,Faculty of Science and Engineering, Curtin Institute for Computation, Curtin University, Perth, WA, Australia
| | | | - Giles E S J Hardy
- Centre for Phytophthora Science and Management, Murdoch University, Murdoch, WA, Australia
| | - Silke Jacques
- Centre for Crop and Disease Management, Curtin University, Bentley, WA, Australia
| | | | - Kar-Chun Tan
- Centre for Crop and Disease Management, Curtin University, Bentley, WA, Australia
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Peck LD, Nowell RW, Flood J, Ryan MJ, Barraclough TG. Historical genomics reveals the evolutionary mechanisms behind multiple outbreaks of the host-specific coffee wilt pathogen Fusarium xylarioides. BMC Genomics 2021; 22:404. [PMID: 34082717 PMCID: PMC8176585 DOI: 10.1186/s12864-021-07700-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 05/11/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Nearly 50% of crop yields are lost to pests and disease, with plants and pathogens locked in an amplified co-evolutionary process of disease outbreaks. Coffee wilt disease, caused by Fusarium xylarioides, decimated coffee production in west and central Africa following its initial outbreak in the 1920s. After successful management, it later re-emerged and by the 2000s comprised two separate epidemics on arabica coffee in Ethiopia and robusta coffee in east and central Africa. RESULTS Here, we use genome sequencing of six historical culture collection strains spanning 52 years to identify the evolutionary processes behind these repeated outbreaks. Phylogenomic reconstruction using 13,782 single copy orthologs shows that the robusta population arose from the initial outbreak, whilst the arabica population is a divergent sister clade to the other strains. A screen for putative effector genes involved in pathogenesis shows that the populations have diverged in gene content and sequence mainly by vertical processes within lineages. However, 15 putative effector genes show evidence of horizontal acquisition, with close homology to genes from F. oxysporum. Most occupy small regions of homology within wider scaffolds, whereas a cluster of four genes occupy a 20Kb scaffold with strong homology to a region on a mobile pathogenicity chromosome in F. oxysporum that houses known effector genes. Lacking a match to the whole mobile chromosome, we nonetheless found close associations with DNA transposons, especially the miniature impala type previously proposed to facilitate horizontal transfer of pathogenicity genes in F. oxysporum. These findings support a working hypothesis that the arabica and robusta populations partly acquired distinct effector genes via transposition-mediated horizontal transfer from F. oxysporum, which shares coffee as a host and lives on other plants intercropped with coffee. CONCLUSION Our results show how historical genomics can help reveal mechanisms that allow fungal pathogens to keep pace with our efforts to resist them. Our list of putative effector genes identifies possible future targets for fungal control. In turn, knowledge of horizontal transfer mechanisms and putative donor taxa might help to design future intercropping strategies that minimize the risk of transfer of effector genes between closely-related Fusarium taxa.
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Affiliation(s)
- Lily D Peck
- Science and Solutions for a Changing Planet Doctoral Training Partnership, Grantham Institute, Imperial College London, South Kensington, London, SW7 2AZ, UK. .,Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY, UK.
| | - Reuben W Nowell
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY, UK.,Department of Zoology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
| | - Julie Flood
- CABI, Bakeham Lane, Egham, Surrey, TW20 9TY, UK
| | | | - Timothy G Barraclough
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY, UK.,Department of Zoology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
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Bertazzoni S, Jones DAB, Phan HT, Tan KC, Hane JK. Chromosome-level genome assembly and manually-curated proteome of model necrotroph Parastagonospora nodorum Sn15 reveals a genome-wide trove of candidate effector homologs, and redundancy of virulence-related functions within an accessory chromosome. BMC Genomics 2021; 22:382. [PMID: 34034667 PMCID: PMC8146201 DOI: 10.1186/s12864-021-07699-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 05/11/2021] [Indexed: 11/19/2022] Open
Abstract
Background The fungus Parastagonospora nodorum causes septoria nodorum blotch (SNB) of wheat (Triticum aestivum) and is a model species for necrotrophic plant pathogens. The genome assembly of reference isolate Sn15 was first reported in 2007. P. nodorum infection is promoted by its production of proteinaceous necrotrophic effectors, three of which are characterised – ToxA, Tox1 and Tox3. Results A chromosome-scale genome assembly of P. nodorum Australian reference isolate Sn15, which combined long read sequencing, optical mapping and manual curation, produced 23 chromosomes with 21 chromosomes possessing both telomeres. New transcriptome data were combined with fungal-specific gene prediction techniques and manual curation to produce a high-quality predicted gene annotation dataset, which comprises 13,869 high confidence genes, and an additional 2534 lower confidence genes retained to assist pathogenicity effector discovery. Comparison to a panel of 31 internationally-sourced isolates identified multiple hotspots within the Sn15 genome for mutation or presence-absence variation, which was used to enhance subsequent effector prediction. Effector prediction resulted in 257 candidates, of which 98 higher-ranked candidates were selected for in-depth analysis and revealed a wealth of functions related to pathogenicity. Additionally, 11 out of the 98 candidates also exhibited orthology conservation patterns that suggested lateral gene transfer with other cereal-pathogenic fungal species. Analysis of the pan-genome indicated the smallest chromosome of 0.4 Mbp length to be an accessory chromosome (AC23). AC23 was notably absent from an avirulent isolate and is predominated by mutation hotspots with an increase in non-synonymous mutations relative to other chromosomes. Surprisingly, AC23 was deficient in effector candidates, but contained several predicted genes with redundant pathogenicity-related functions. Conclusions We present an updated series of genomic resources for P. nodorum Sn15 – an important reference isolate and model necrotroph – with a comprehensive survey of its predicted pathogenicity content. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07699-8.
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Affiliation(s)
| | - Darcy A B Jones
- Centre for Crop & Disease Management, Curtin University, Perth, Australia
| | - Huyen T Phan
- Centre for Crop & Disease Management, Curtin University, Perth, Australia.
| | - Kar-Chun Tan
- Centre for Crop & Disease Management, Curtin University, Perth, Australia.
| | - James K Hane
- Centre for Crop & Disease Management, Curtin University, Perth, Australia. .,Curtin Institute for Computation, Curtin University, Perth, Australia.
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Debler JW, Henares BM, Lee RC. Agroinfiltration for transient gene expression and characterisation of fungal pathogen effectors in cool-season grain legume hosts. PLANT CELL REPORTS 2021; 40:805-818. [PMID: 33811500 PMCID: PMC8058004 DOI: 10.1007/s00299-021-02671-y] [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: 07/20/2020] [Accepted: 01/30/2021] [Indexed: 05/05/2023]
Abstract
KEY MESSAGE Modified pEAQ-HT-DEST1 vectors were used for agroinfiltration in legumes. We demonstrate protein expression and export in pea, lentil, and faba bean; however, the method for chickpea was not successful. Agroinfiltration is a valuable research method for investigating virulence and avirulence effector proteins from pathogens and pests, where heterologous effector proteins are transiently expressed in plant leaves and hypersensitive necrosis responses and other effector functions can be assessed. Nicotiana benthamiana is widely used for agroinfiltration and the characterisation of broad-spectrum effectors. The method has also been used in other plant species including field pea, but not yet developed for chickpea, lentil, or faba bean. Here, we have modified the pEAQ-HT-DEST1 vector for expression of 6 × histidine-tagged green-fluorescent protein (GFP) and the known necrosis-inducing broad-spectrum effector necrosis and ethylene-inducing peptide (Nep1)-like protein (NLP). Modified pEAQ-based vectors were adapted to encode signal peptide sequences for apoplast targeting of expressed proteins. We used confocal microscopy to assess the level of GFP expression in agroinfiltrated leaves. While at 3 days after infiltration in N. benthamiana, GFP was expressed at a relatively high level, expression in field pea and faba bean at the same time point was relatively low. In lentil, an expression level of GFP similar to field pea and faba bean at 3 days was only observed after 5 days. Chickpea leaf cells were transformed at low frequency and agroinfiltration was concluded to not be successful for chickpea. We concluded that the pEAQ vector is suitable for testing host-specific effectors in field pea, lentil, and faba bean, but low transformation efficiency limits the utility of the method for chickpea.
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Affiliation(s)
- Johannes W Debler
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, 1 Kent St, Bentley, WA, 6102, Australia
| | - Bernadette M Henares
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, 1 Kent St, Bentley, WA, 6102, Australia
| | - Robert C Lee
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, 1 Kent St, Bentley, WA, 6102, Australia.
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Yan L, Wang Z, Song W, Fan P, Kang Y, Lei Y, Wan L, Huai D, Chen Y, Wang X, Sudini H, Liao B. Genome sequencing and comparative genomic analysis of highly and weakly aggressive strains of Sclerotium rolfsii, the causal agent of peanut stem rot. BMC Genomics 2021; 22:276. [PMID: 33863285 PMCID: PMC8052761 DOI: 10.1186/s12864-021-07534-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 03/15/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Stem rot caused by Sclerotium rolfsii is a very important soil-borne disease of peanut. S. rolfsii is a necrotrophic plant pathogenic fungus with an extensive host range and worldwide distribution. It can infect peanut stems, roots, pegs and pods, leading to varied yield losses. S. rolfsii strains GP3 and ZY collected from peanut in different provinces of China exhibited a significant difference in aggressiveness on peanut plants by artificial inoculation test. In this study, de-novo genome sequencing of these two distinct strains was performed aiming to reveal the genomic basis of difference in aggressiveness. RESULTS Scleotium rolfsii strains GP3 and ZY, with weak and high aggressiveness on peanut plants, exhibited similar growth rate and oxalic acid production in laboratory. The genomes of S. rolfsii strains GP3 and ZY were sequenced by Pacbio long read technology and exhibited 70.51 Mb and 70.61 Mb, with contigs of 27 and 23, and encoded 17,097 and 16,743 gene models, respectively. Comparative genomic analysis revealed that the pathogenicity-related gene repertoires, which might be associated with aggressiveness, differed between GP3 and ZY. There were 58 and 45 unique pathogen-host interaction (PHI) genes in GP3 and ZY, respectively. The ZY strain had more carbohydrate-active enzymes (CAZymes) in its secretome than GP3, especially in the glycoside hydrolase family (GH), the carbohydrate esterase family (CBM), and the polysaccharide lyase family (PL). GP3 and ZY also had different effector candidates and putative secondary metabolite synthetic gene clusters. These results indicated that differences in PHI, secreted CAZymes, effectors and secondary metabolites may play important roles in aggressive difference between these two strains. CONCLUSIONS The data provided a further understanding of the S. rolfsii genome. Genomic comparison provided clues to the difference in aggressiveness of S. rolfsii strains.
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Affiliation(s)
- Liying Yan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Zhihui Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Wanduo Song
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Pengmin Fan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Yanping Kang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Liyun Wan
- College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045 China
| | - Dongxin Huai
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Xin Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Hari Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana 502324 India
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, P.R. China, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
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Mi Y, Zhang J, Han X, Tan W, Miao Q, Cui J, Li Q, Guo Z. Modification of carboxymethyl inulin with heterocyclic compounds: Synthesis, characterization, antioxidant and antifungal activities. Int J Biol Macromol 2021; 181:572-581. [PMID: 33766596 DOI: 10.1016/j.ijbiomac.2021.03.109] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 12/17/2022]
Abstract
A series of novel inulin derivatives were designed and synthesized by the introduction of amino heterocyclic moieties onto carboxymethyl inulin with the aid of 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride and N-hydroxysuccinimide. The target products were prepared via three - step chemical synthesis, and structures were identified by FTIR and 1H NMR spectroscopy. Antioxidant activities of inulin derivatives including DPPH - radical scavenging assay, superoxide - radical scavenging assay, hydroxyl - radical scavenging assay, and reducing power were estimated. Meanwhile, their antifungal activities, including Colletotrichum lagenarium and Botrytis cinerea, were also explored by hyphal measurement. In particular, inulin derivatives bearing heterocyclic moieties exhibited a remarkable improvement over inulin on antioxidant and antifungal activities, and their bioactivities decreased roughly in the order of 2ATCMI > 4APCMI > 3APCMI > 2APCMI > 3ATCMI > CMI > inulin. Furthermore, the cytotoxicities of inulin derivatives against L929 cells were evaluated by CCK-8 in vitro, and all samples showed weak cytotoxicities. In a nutshell, the paper provides a practical approach to synthesize novel inulin derivatives with dramatically enhanced bioactivity and good biocompatibility. The product described in paper might serve as a new leading structure for further design of antioxidants or antifungal agents in biomedicine, cosmetics, and other fields.
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Affiliation(s)
- Yingqi Mi
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingjing Zhang
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Xiangru Han
- College of Environmental and Material Engineering, Yantai University, Yantai 264005, China
| | - Wenqiang Tan
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Qin Miao
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingmin Cui
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qing Li
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Zhanyong Guo
- Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Meisrimler C, Allan C, Eccersall S, Morris RJ. Interior design: how plant pathogens optimize their living conditions. THE NEW PHYTOLOGIST 2021; 229:2514-2524. [PMID: 33098094 PMCID: PMC7898814 DOI: 10.1111/nph.17024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 10/14/2020] [Indexed: 06/11/2023]
Abstract
Pathogens use effectors to suppress host defence mechanisms, promote the derivation of nutrients, and facilitate infection within the host plant. Much is now known about effectors that target biotic pathways, particularly those that interfere with plant innate immunity. By contrast, an understanding of how effectors manipulate nonimmunity pathways is only beginning to emerge. Here, we focus on exciting new insights into effectors that target abiotic stress adaptation pathways, tampering with key functions within the plant to promote colonization. We critically assess the role of various signalling agents in linking different pathways upon perturbation by pathogen effectors. Additionally, this review provides a summary of currently known bacterial, fungal, and oomycete pathogen effectors that induce biotic and abiotic stress responses in the plant, as a first step towards establishing a comprehensive picture for linking effector targets to pathogenic lifestyles.
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Affiliation(s)
| | - Claudia Allan
- School of Biological ScienceUniversity of CanterburyPrivate Bag 4800Christchurch8041New Zealand
| | - Sophie Eccersall
- School of Biological ScienceUniversity of CanterburyPrivate Bag 4800Christchurch8041New Zealand
| | - Richard J Morris
- Computational and Systems BiologyJohn Innes CentreNorwichNR4 7UHUK
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Liu R, Wang Y, Li P, Sun L, Jiang J, Fan X, Liu C, Zhang Y. Genome Assembly and Transcriptome Analysis of the Fungus Coniella diplodiella During Infection on Grapevine ( Vitis vinifera L.). Front Microbiol 2021; 11:599150. [PMID: 33505371 PMCID: PMC7829486 DOI: 10.3389/fmicb.2020.599150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/14/2020] [Indexed: 12/16/2022] Open
Abstract
Grape white rot caused by Coniella diplodiella (Speg.) affects the production and quality of grapevine in China and other grapevine-growing countries. Despite the importance of C. diplodiella as a serious disease-causing agent in grape, the genome information and molecular mechanisms underlying its pathogenicity are poorly understood. To bridge this gap, 40.93 Mbp of C. diplodiella strain WR01 was de novo assembled. A total of 9,403 putative protein-coding genes were predicted. Among these, 608 and 248 genes are potentially secreted proteins and candidate effector proteins (CEPs), respectively. Additionally, the transcriptome of C. diplodiella was analyzed after feeding with crude grapevine leaf homogenates, which reveals the transcriptional expression of 9,115 genes. Gene ontology enrichment analysis indicated that the highly enriched genes are related with carbohydrate metabolism and secondary metabolite synthesis. Forty-three putative effectors were cloned from C. diplodiella, and applied for further functional analysis. Among them, one protein exhibited strong effect in the suppression of BCL2-associated X (BAX)-induced hypersensitive response after transiently expressed in Nicotiana benthamiana leaves. This work facilitates valuable genetic basis for understanding the molecular mechanism underlying C. diplodiella-grapevine interaction.
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Affiliation(s)
- Ruitao Liu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Yiming Wang
- The Key Laboratory of Plant Immunity, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Peng Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Lei Sun
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Jianfu Jiang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Xiucai Fan
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Chonghuai Liu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Ying Zhang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
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Kanja C, Hammond‐Kosack KE. Proteinaceous effector discovery and characterization in filamentous plant pathogens. MOLECULAR PLANT PATHOLOGY 2020; 21:1353-1376. [PMID: 32767620 PMCID: PMC7488470 DOI: 10.1111/mpp.12980] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/03/2020] [Accepted: 07/05/2020] [Indexed: 05/26/2023]
Abstract
The complicated interplay of plant-pathogen interactions occurs on multiple levels as pathogens evolve to constantly evade the immune responses of their hosts. Many economically important crops fall victim to filamentous pathogens that produce small proteins called effectors to manipulate the host and aid infection/colonization. Understanding the effector repertoires of pathogens is facilitating an increased understanding of the molecular mechanisms underlying virulence as well as guiding the development of disease control strategies. The purpose of this review is to give a chronological perspective on the evolution of the methodologies used in effector discovery from physical isolation and in silico predictions, to functional characterization of the effectors of filamentous plant pathogens and identification of their host targets.
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Affiliation(s)
- Claire Kanja
- Department of Biointeractions and Crop ProtectionRothamsted ResearchHarpendenUK
- School of BiosciencesUniversity of NottinghamNottinghamUK
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Jaswal R, Rajarammohan S, Dubey H, Sharma TR. Smut fungi as a stratagem to characterize rust effectors: opportunities and challenges. World J Microbiol Biotechnol 2020; 36:150. [PMID: 32924088 DOI: 10.1007/s11274-020-02927-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/05/2020] [Indexed: 11/30/2022]
Abstract
The rust pathogens are one of the most complex fungi in the Basidiomycetes. The development of genomic resources for rust and other plant pathogens has opened the opportunities for functional genomics of fungal genes. Despite significant progress in the field of fungal genomics, functional characterization of the genome components has lacked, especially for the rust pathogens. Their obligate nature and lack of standard stable transformation protocol are the primary reasons for rusts to be one of the least explored genera despite its significance. In the recently sequenced rust genomes, a vast catalogue of predicted effectors and pathogenicity genes have been reported. However, most of these candidate genes remained unexplored due to the lack of suitable characterization methods. The heterologous expression of putative effectors in Nicotiana benthamiana and Arabidopsis thaliana has proved to be a rapid screening method for identifying the role of these effectors in virulence. However, no fungal system has been used for the functional validation of these candidate genes. The smuts, from the evolutionary point of view, are closely related to the rust pathogens. Moreover, they have been widely studied and hence could be a suitable model system for expressing rust fungal genes heterologously. The genetic manipulation methods for smuts are also well standardized. Complementation assays can be used for functional validation of the homologous genes present in rust and smut fungal pathogens, while the species-specific proteins can be expressed in the mutant strains of smut pathogens having reduced or no virulence for virulence analysis. We propose that smuts, especially Ustilago maydis, may prove to be a good model system to characterize rust effector proteins in the absence of methods to manipulate the rust genomes directly.
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Affiliation(s)
- Rajdeep Jaswal
- National Agri-Food Biotechnology Institute (NABI), Sector-81 (Knowledge City), PO Manauli, S.A.S. Nagar, Mohali, Punjab, 140306, India
| | - Sivasubramanian Rajarammohan
- National Agri-Food Biotechnology Institute (NABI), Sector-81 (Knowledge City), PO Manauli, S.A.S. Nagar, Mohali, Punjab, 140306, India
| | - Himanshu Dubey
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India
| | - T R Sharma
- National Agri-Food Biotechnology Institute (NABI), Sector-81 (Knowledge City), PO Manauli, S.A.S. Nagar, Mohali, Punjab, 140306, India.
- Crop Science Division, Indian Council of Agricultural Research, New Delhi, 110001, India.
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Jaswal R, Kiran K, Rajarammohan S, Dubey H, Singh PK, Sharma Y, Deshmukh R, Sonah H, Gupta N, Sharma TR. Effector Biology of Biotrophic Plant Fungal Pathogens: Current Advances and Future Prospects. Microbiol Res 2020; 241:126567. [PMID: 33080488 DOI: 10.1016/j.micres.2020.126567] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 07/21/2020] [Accepted: 07/25/2020] [Indexed: 12/13/2022]
Abstract
The interaction of fungal pathogens with their host requires a novel invading mechanism and the presence of various virulence-associated components responsible for promoting the infection. The small secretory proteins, explicitly known as effector proteins, are one of the prime mechanisms of host manipulation utilized by the pathogen to disarm the host. Several effector proteins are known to translocate from fungus to the plant cell for host manipulation. Many fungal effectors have been identified using genomic, transcriptomic, and bioinformatics approaches. Most of the effector proteins are devoid of any conserved signatures, and their prediction based on sequence homology is very challenging, therefore by combining the sequence consensus based upon machine learning features, multiple tools have also been developed for predicting apoplastic and cytoplasmic effectors. Various post-genomics approaches like transcriptomics of virulent isolates have also been utilized for identifying active consortia of effectors. Significant progress has been made in understanding biotrophic effectors; however, most of it is underway due to their complex interaction with host and complicated recognition and signaling networks. This review discusses advances, and challenges in effector identification and highlighted various features of the potential effector proteins and approaches for understanding their genetics and strategies for regulation.
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Affiliation(s)
- Rajdeep Jaswal
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India; Department of Microbiology, Panjab University, Chandigarh, Punjab, 160014, India
| | - Kanti Kiran
- ICAR-National Institute for Plant Biotechnology, Pusa Campus New Delhi, 110012, India
| | | | - Himanshu Dubey
- ICAR-National Institute for Plant Biotechnology, Pusa Campus New Delhi, 110012, India
| | - Pankaj Kumar Singh
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India
| | - Yogesh Sharma
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India
| | - Rupesh Deshmukh
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India
| | - Humira Sonah
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India
| | - Naveen Gupta
- Department of Microbiology, Panjab University, Chandigarh, Punjab, 160014, India.
| | - T R Sharma
- National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India.
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Reference Genome Assembly for Australian Ascochyta rabiei Isolate ArME14. G3-GENES GENOMES GENETICS 2020; 10:2131-2140. [PMID: 32345704 PMCID: PMC7341154 DOI: 10.1534/g3.120.401265] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Ascochyta rabiei is the causal organism of ascochyta blight of chickpea and is present in chickpea crops worldwide. Here we report the release of a high-quality PacBio genome assembly for the Australian A. rabiei isolate ArME14. We compare the ArME14 genome assembly with an Illumina assembly for Indian A. rabiei isolate, ArD2. The ArME14 assembly has gapless sequences for nine chromosomes with telomere sequences at both ends and 13 large contig sequences that extend to one telomere. The total length of the ArME14 assembly was 40,927,385 bp, which was 6.26 Mb longer than the ArD2 assembly. Division of the genome by OcculterCut into GC-balanced and AT-dominant segments reveals 21% of the genome contains gene-sparse, AT-rich isochores. Transposable elements and repetitive DNA sequences in the ArME14 assembly made up 15% of the genome. A total of 11,257 protein-coding genes were predicted compared with 10,596 for ArD2. Many of the predicted genes missing from the ArD2 assembly were in genomic regions adjacent to AT-rich sequence. We compared the complement of predicted transcription factors and secreted proteins for the two A. rabiei genome assemblies and found that the isolates contain almost the same set of proteins. The small number of differences could represent real differences in the gene complement between isolates or possibly result from the different sequencing methods used. Prediction pipelines were applied for carbohydrate-active enzymes, secondary metabolite clusters and putative protein effectors. We predict that ArME14 contains between 450 and 650 CAZymes, 39 putative protein effectors and 26 secondary metabolite clusters.
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Shi Y, Zhang Z, Wen Y, Yu G, Zou J, Huang S, Wang J, Zhu J, Wang J, Chen L, Ma C, Liu X, Zhu R, Li Q, Li J, Guo M, Liu H, Zhu Y, Sun Z, Han L, Jiang H, Wu X, Wang N, Zhang W, Yin Z, Li C, Hu Z, Qi Z, Liu C, Chen Q, Xin D. RNA Sequencing-Associated Study Identifies GmDRR1 as Positively Regulating the Establishment of Symbiosis in Soybean. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2020; 33:798-807. [PMID: 32186464 DOI: 10.1094/mpmi-01-20-0017-r] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
In soybean (Glycine max)-rhizobium interactions, the type III secretion system (T3SS) of rhizobium plays a key role in regulating host specificity. However, the lack of information on the role of T3SS in signaling networks limits our understanding of symbiosis. Here, we conducted an RNA sequencing analysis of three soybean chromosome segment substituted lines, one female parent and two derived lines with different chromosome-substituted segments of wild soybean and opposite nodulation patterns. By analyzing chromosome-linked differentially expressed genes in the substituted segments and quantitative trait loci (QTL)-assisted selection in the substituted-segment region, genes that may respond to type III effectors to mediate plant immunity-related signaling were identified. To narrow down the number of candidate genes, QTL assistant was used to identify the candidate region consistent with the substituted segments. Furthermore, one candidate gene, GmDRR1, was identified in the substituted segment. To investigate the role of GmDRR1 in symbiosis establishment, GmDRR1-overexpression and RNA interference soybean lines were constructed. The nodule number increased in the former compared with wild-type soybean. Additionally, the T3SS-regulated effectors appeared to interact with the GmDDR1 signaling pathway. This finding will allow the detection of T3SS-regulated effectors involved in legume-rhizobium interactions.
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Affiliation(s)
- Yan Shi
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Zhanguo Zhang
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Yingnan Wen
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Guolong Yu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Jianan Zou
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Shiyu Huang
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Jinhui Wang
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Jingyi Zhu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Jieqi Wang
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Lin Chen
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Chao Ma
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Xueying Liu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Rongsheng Zhu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Qingying Li
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Jianyi Li
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Miaoxin Guo
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Hanxi Liu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Yongxu Zhu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Zhijun Sun
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Lu Han
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Hongwei Jiang
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
- Jilin Academy of Agricultural Sciences, Soybean Research Institute, Changchun, People's Republic of China
| | - Xiaoxia Wu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Nannan Wang
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
- Jiamusi Branch of Heilongjiang Academy of Agricultural, Jiamusi, People's Republic of China
| | - Weiyao Zhang
- Suihua Branch of Heilongjiang Academy of Agricultural, Suihua, China, Crop Breeding Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, People's Republic of China
| | - Zhengong Yin
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
- Suihua Branch of Heilongjiang Academy of Agricultural, Suihua, China, Crop Breeding Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, People's Republic of China
| | - Candong Li
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
- Jiamusi Branch of Heilongjiang Academy of Agricultural, Jiamusi, People's Republic of China
| | - Zhenbang Hu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Zhaoming Qi
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Chunyan Liu
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Qingshan Chen
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
| | - Dawei Xin
- Key Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, College of Science, Northeast Agricultural University, Harbin, Heilongjiang Province, People's Republic of China
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Lee RC, Farfan-Caceres LM, Debler JW, Syme RA. Characterization of Growth Morphology and Pathology, and Draft Genome Sequencing of Botrytis fabae, the Causal Organism of Chocolate Spot of Faba Bean ( Vicia faba L.). Front Microbiol 2020; 11:217. [PMID: 32132988 PMCID: PMC7040437 DOI: 10.3389/fmicb.2020.00217] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 01/30/2020] [Indexed: 11/13/2022] Open
Abstract
Chocolate spot is a major fungal disease of faba bean caused by the ascomycete fungus, Botrytis fabae. B. fabae is also implicated in botrytis gray mold disease in lentils, along with B. cinerea. Here we have isolated and characterized two B. fabae isolates from chocolate spot lesions on faba bean leaves. In plant disease assays on faba bean and lentil, B. fabae was more aggressive than B. cinerea and we observed variation in susceptibility among a small set of cultivars for both plant hosts. Using light microscopy, we observed a spreading, generalized necrosis response in faba bean toward B. fabae. In contrast, the plant response to B. cinerea was localized to epidermal cells underlying germinated spores and appressoria. In addition to the species characterization of B. fabae, we produced genome assemblies for both B. fabae isolates using Illumina sequencing. Genome sequencing coverage and assembly size for B. fabae isolates, were 27x and 45x, and 43.2 and 44.5 Mb, respectively. Following genome assembly and annotation, carbohydrate-active enzyme (CAZymes) and effector genes were predicted. There were no major differences in the numbers of each of the major classes of CAZymes. We predicted 29 effector genes for B. fabae, and using the same selection criteria for B. cinerea, we predicted 34 putative effector genes. For five of the predicted effector genes, the pairwise dN/dS ratio between orthologs from B. fabae and B. cinerea was greater than 1.0, suggesting positive selection and the potential evolution of molecular mechanisms for host specificity in B. fabae. Furthermore, a homology search of secondary metabolite clusters revealed the absence of the B. cinerea phytotoxin botrydial and several other uncharacterized secondary metabolite biosynthesis genes from B. fabae. Although there were no obvious differences in the number or proportional representation of different transposable element classes, the overall proportion of AT-rich DNA sequence in B. fabae was double that of B. cinerea.
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Affiliation(s)
- Robert C Lee
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Lina M Farfan-Caceres
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Johannes W Debler
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | - Robert A Syme
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
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Fabre F, Bormann J, Urbach S, Roche S, Langin T, Bonhomme L. Unbalanced Roles of Fungal Aggressiveness and Host Cultivars in the Establishment of the Fusarium Head Blight in Bread Wheat. Front Microbiol 2019; 10:2857. [PMID: 31921038 PMCID: PMC6917580 DOI: 10.3389/fmicb.2019.02857] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 11/25/2019] [Indexed: 01/07/2023] Open
Abstract
Fusarium head blight (FHB), caused mainly by Fusarium graminearum, is the foremost destructive disease of cereals worldwide. Effector-like molecules produced by F. graminearum play key roles in the infection process and are assumed to be one of the essential components of the pathogen’s aggressiveness. However, their nature and role in the disease are still largely misunderstood. As a mean to provide relevant information about the molecular determinism of F. graminearum aggressiveness, we surveyed three F. graminearum strains on three wheat cultivars contrasted by their susceptibility to FHB. F. graminearum strains revealed large differences in aggressiveness which were mostly unchanged when facing hosts of contrasted susceptibility, suggesting that their behavior rely on intrinsic determinants. Surveying the fungal mass progress and the mycotoxin production rate in the spikes did not evidence any simple relationship with aggressiveness differences, while clues were found through a qualitative and quantitative characterization of the three strain proteomes established in planta especially with regards to early synthesized putative effectors. Independently of the wheat cultivar, the three F. graminearum strains produced systematically the same protein set during the infection but substantial differences in their abundance enabled the categorization of fungal aggressiveness. Overall, our findings show that the contrasts in F. graminearum aggressiveness were not based on the existence of strain-specific molecules but rather on the ability of the strain to ensure their sufficient accumulation. Protein abundance variance was mostly driven by the strain genetics and part was also influenced by the host cultivar but strain by cultivar interactions were marginally detected, depicting that strain-specific protein accumulations did not depend on the host cultivar. All these data provide new knowledge on fungal aggressiveness determinants and provide a resourceful repertoire of candidate effector proteins to guide further research.
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Affiliation(s)
- Francis Fabre
- Université Clermont Auvergne, INRAE, UMR 1095 Genetics, Diversity and Ecophysiology of Cereals, Clermont-Ferrand, France
| | - Joerg Bormann
- Department of Molecular Phytopathology, Institute of Plant Science and Microbiology, University of Hamburg, Hamburg, Germany
| | - Serge Urbach
- Functional Proteomics Platform, Institute of Functional Genomics, CNRS UMR 5203 INSERM U661, Montpellier, France
| | - Sylvie Roche
- INRAE, Unité Experimentale 1375, Phénotypage au Champs des Céréales (PHACC), Clermont-Ferrand, France
| | - Thierry Langin
- Université Clermont Auvergne, INRAE, UMR 1095 Genetics, Diversity and Ecophysiology of Cereals, Clermont-Ferrand, France
| | - Ludovic Bonhomme
- Université Clermont Auvergne, INRAE, UMR 1095 Genetics, Diversity and Ecophysiology of Cereals, Clermont-Ferrand, France
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Cause and Effectors: Whole-Genome Comparisons Reveal Shared but Rapidly Evolving Effector Sets among Host-Specific Plant-Castrating Fungi. mBio 2019; 10:mBio.02391-19. [PMID: 31690676 PMCID: PMC6831777 DOI: 10.1128/mbio.02391-19] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Plant pathogens use molecular weapons to successfully infect their hosts, secreting a large portfolio of various proteins and enzymes. Different plant species are often parasitized by host-specific pathogens; however, it is still unclear whether the molecular basis of such host specialization involves species-specific weapons or different variants of the same weapons. We therefore compared the genes encoding secreted proteins in three plant-castrating pathogens parasitizing different host plants, producing their spores in plant anthers by replacing pollen. We validated our predictions for secretion signals for some genes and checked that our predicted secreted proteins were often highly expressed during plant infection. While we found few species-specific secreted proteins, numerous genes encoding secreted proteins showed signs of rapid evolution and of natural selection. Our study thus found that most changes among closely related host-specific pathogens involved rapid adaptive changes in shared molecular weapons rather than innovations for new weapons. Plant pathogens utilize a portfolio of secreted effectors to successfully infect and manipulate their hosts. It is, however, still unclear whether changes in secretomes leading to host specialization involve mostly effector gene gains/losses or changes in their sequences. To test these hypotheses, we compared the secretomes of three host-specific castrating anther smut fungi (Microbotryum), two being sister species. To address within-species evolution, which might involve coevolution and local adaptation, we compared the secretomes of strains from differentiated populations. We experimentally validated a subset of signal peptides. Secretomes ranged from 321 to 445 predicted secreted proteins (SPs), including a few species-specific proteins (42 to 75), and limited copy number variation, i.e., little gene family expansion or reduction. Between 52% and 68% of the SPs did not match any Pfam domain, a percentage that reached 80% for the small secreted proteins, indicating rapid evolution. In comparison to background genes, we indeed found SPs to be more differentiated among species and strains, more often under positive selection, and highly expressed in planta; repeat-induced point mutations (RIPs) had no role in effector diversification, as SPs were not closer to transposable elements than background genes and were not more RIP affected. Our study thus identified both conserved core proteins, likely required for the pathogenic life cycle of all Microbotryum species, and proteins that were species specific or evolving under positive selection; these proteins may be involved in host specialization and/or coevolution. Most changes among closely related host-specific pathogens, however, involved rapid changes in sequences rather than gene gains/losses.
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García Romero IA. Genómica de hongos fitopatógenos como herramienta para el desarrollo de estrategias de manejo. REVISTA COLOMBIANA DE BIOTECNOLOGÍA 2019. [DOI: 10.15446/rev.colomb.biote.v21n2.84132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Los patógenos más devastadores de los cultivos agrícolas son los hongos, su manejo ha variado en el tiempo, este se ha dado de acuerdo al desarrollo del conocimiento de cada época y a la cultura. En las últimas dos décadas el desarrollo vertiginoso de las plataformas de secuenciación masiva y la bioinformática ha permitido la generación cientos de secuencias de genomas completos de hongos incluidos los fitopatógenos, abriendo la puerta para mejorar estrategias de manejo existentes y generar nuevas.Los hongos son considerados los patógenos más devastadores de las plantas causando el 60% de las pérdidas, a pesar de que solo el 10% de los hasta ahora descritos puede colonizar plantas vivas (Aslam et al., 2017); es decir, solo un pequeño número es considerado patógeno de especies vegetales. El manejo de enfermedades causadas por estos, en cultivos de importancia económica, siempre ha sido un reto que afrontar por el hombre desde la aparición misma de la agricultura. Las estrategias se han dado de acuerdo al desarrollo del conocimiento de cada época y a la cultura. Los primeros reportes escritos de enfermedades son mencionados en algunos textos griegos antiguos de Homero (1000 años a.C.); también aparecen en el antiguo testamento (750 años a.C.) y fueron documentadas de manera similar a como se abordaron las guerras y las enfermedades humanas. Los primeros agentes causales a los que se les atribuyeron las pérdidas de los cultivos fueron las divinidades a manera de castigo, y el manejo se daba a través de ofrecimiento de sacrificios a los dioses para que se apaciguaran y de esta forma evitar el daño de los cultivos a causa de mildeos, royas entre otras plagas. También los textos de Homero señalan la posibilidad de manejarlas con el uso del azufre, y Demócrito (470 años a.C.) recomendaba el uso de aceite de oliva para contrarrestar los tizones (Agrios, 2005).
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Fabre F, Vignassa M, Urbach S, Langin T, Bonhomme L. Time-resolved dissection of the molecular crosstalk driving Fusarium head blight in wheat provides new insights into host susceptibility determinism. PLANT, CELL & ENVIRONMENT 2019; 42:2291-2308. [PMID: 30866080 DOI: 10.1111/pce.13549] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/08/2019] [Accepted: 03/11/2019] [Indexed: 05/20/2023]
Abstract
Fungal plant diseases are controlled by a complex molecular dialogue that involves pathogen effectors able to manipulate plant susceptibility factors at the earliest stages of the interaction. By probing the wheat-Fusarium graminearum pathosystem, we profiled the coregulations of the fungal and plant proteins shaping the molecular responses of a 96-hr-long infection's dynamics. Although no symptoms were yet detectable, fungal biomass swiftly increased along with an extremely diverse set of secreted proteins and candidate effectors supposed to target key plant organelles. Some showed to be early accumulated during the interaction or already present in spores, otherwise stored in germinating spores and detectable in an in vitro F. graminearum exudate. Wheat responses were swiftly set up and were evidenced before any visible symptom. Significant wheat protein abundance changes co-occurred along with the accumulation of putative secreted fungal proteins and predicted effectors. Regulated wheat proteins were closely connected to basal cellular processes occurring during spikelet ontogeny, and particular coregulation patterns were evidenced between chloroplast proteins and fungal proteins harbouring a predicted chloroplast transit peptide. The described plant and fungal coordinated responses provide a resourceful set of data and expand our understanding of the wheat-F. graminearum interaction.
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Affiliation(s)
- Francis Fabre
- Genetics, Diversity and Ecophysiology of Cereals, UMR 1095, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Manon Vignassa
- Genetics, Diversity and Ecophysiology of Cereals, UMR 1095, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Serge Urbach
- Functional Proteomics Platform (FPP), Institute of Functional Genomics (IGF), CNRS UMR 5203 INSERM U661, Montpellier, France
| | - Thierry Langin
- Genetics, Diversity and Ecophysiology of Cereals, UMR 1095, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Ludovic Bonhomme
- Genetics, Diversity and Ecophysiology of Cereals, UMR 1095, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
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Mousavi-Derazmahalleh M, Chang S, Thomas G, Derbyshire M, Bayer PE, Edwards D, Nelson MN, Erskine W, Lopez-Ruiz FJ, Clements J, Hane JK. Prediction of pathogenicity genes involved in adaptation to a lupin host in the fungal pathogens Botrytis cinerea and Sclerotinia sclerotiorum via comparative genomics. BMC Genomics 2019; 20:385. [PMID: 31101009 PMCID: PMC6525431 DOI: 10.1186/s12864-019-5774-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 05/03/2019] [Indexed: 01/13/2023] Open
Abstract
Background Narrow-leafed lupin is an emerging crop of significance in agriculture, livestock feed and human health food. However, its susceptibility to various diseases is a major obstacle towards increased adoption. Sclerotinia sclerotiorum and Botrytis cinerea – both necrotrophs with broad host-ranges - are reported among the top 10 lupin pathogens. Whole-genome sequencing and comparative genomics are useful tools to discover genes responsible for interactions between pathogens and their hosts. Results Genomes were assembled for one isolate of B. cinerea and two isolates of S. sclerotiorum, which were isolated from either narrow-leafed or pearl lupin species. Comparative genomics analysis between lupin-derived isolates and others isolated from alternate hosts was used to predict between 94 to 98 effector gene candidates from among their respective non-conserved gene contents. Conclusions Detection of minor differences between relatively recently-diverged isolates, originating from distinct regions and with hosts, may highlight novel or recent gene mutations and losses resulting from host adaptation in broad host-range fungal pathogens. Electronic supplementary material The online version of this article (10.1186/s12864-019-5774-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mahsa Mousavi-Derazmahalleh
- UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| | - Steven Chang
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia
| | - Geoff Thomas
- Department of Primary Industries and Regional Development, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Mark Derbyshire
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia
| | - Phillip E Bayer
- School of Biological Sciences, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.,UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| | - David Edwards
- School of Biological Sciences, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.,UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| | - Matthew N Nelson
- UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.,UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.,Natural Capital and Plant Health, Royal Botanic Gardens Kew, Wakehurst Place, Ardingly, West Sussex, RH17 6TN, UK.,Current address: Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Wembley, WA, 6913, Australia
| | - William Erskine
- UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.,UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| | - Francisco J Lopez-Ruiz
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia
| | - Jon Clements
- Department of Primary Industries and Regional Development, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - James K Hane
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia. .,Curtin Institute for Computation, Curtin University, Bentley, WA, 6102, Australia.
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Lorang J. Necrotrophic Exploitation and Subversion of Plant Defense: A Lifestyle or Just a Phase, and Implications in Breeding Resistance. PHYTOPATHOLOGY 2019; 109:332-346. [PMID: 30451636 DOI: 10.1094/phyto-09-18-0334-ia] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Breeding disease-resistant plants is a critical, environmentally friendly component of any strategy to sustainably feed and clothe the 9.8 billion people expected to live on Earth by 2050. Here, I review current literature detailing plant defense responses as they relate to diverse biological outcomes; disease resistance, susceptibility, and establishment of mutualistic plant-microbial relationships. Of particular interest is the degree to which these outcomes are a function of plant-associated microorganisms' lifestyles; biotrophic, hemibiotrophic, necrotrophic, or mutualistic. For the sake of brevity, necrotrophic pathogens and the necrotrophic phase of pathogenicity are emphasized in this review, with special attention given to the host-specific pathogens that exploit defense. Defense responses related to generalist necrotrophs and mutualists are discussed in the context of excellent reviews by others. In addition, host evolutionary trade-offs of disease resistance with other desirable traits are considered in the context of breeding for durable disease resistance.
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Affiliation(s)
- Jennifer Lorang
- Department of Botany, 2082 Cordley Hall, Oregon State University, Corvallis 97331
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