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Liu Y, Liu J, Sun M, Mao Y, Feng S, Shen S, Liu T, Cao Z, Li Z, Hao Z, Dong J. The genome sequencing and comparative genomics analysis of Rhizoctonia solani reveals a novel effector family owning a uinque domain in Basidiomycetes. Int J Biol Macromol 2024; 278:134328. [PMID: 39098663 DOI: 10.1016/j.ijbiomac.2024.134328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 06/26/2024] [Accepted: 07/23/2024] [Indexed: 08/06/2024]
Abstract
Rhizoctonia solani is a soil-borne pathogen with 14 anastomosis groups (AGs), and different subgroups are genetically diverse. However, the genetic factors contributing to the pathogenicity of the fungus have not been well characterized. In this study, the genome of R. solani AG1-ZJ was sequenced. As the result, a 41.57 Mb draft genome containing 12,197 putative coding genes was obtained. Comparative genomic analysis of 11 different AGs revealed conservation and unique characteristics between the AGs. Furthermore, a novel effector family containing a 68 amino acid conserved domain unique in basidiomycetous fungi was characterized. Two effectors containing the conserved domain in AG4-JY were identified, and named as RsUEB1 and RsUEB2. Furthermore, the spray-induced gene silencing strategy was used to generate a dsRNA capable of silencing the conserved domain sequence of RsUEB1 and RsUEB2. This dsRNA can significantly reduce the expression of RsUEB1 and RsUEB2 and the pathogenicity of AG4-JY on foxtail millet, maize, rice and wheat. In conclusion, this study provides significant insights into the pathogenicity mechanisms of R. solani. The identification of the conserved domain and the successful use of dsRNA silencing of the gene containing the conserved domain will offer a new strategy for controlling sheath blight in cereal crops.
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Affiliation(s)
- Yuwei Liu
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China
| | - Jiayue Liu
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China
| | - Mingqing Sun
- Shijiazhuang Agricultural Technology Extension Center, Shijiazhuang, 050051, China
| | - Yanan Mao
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China
| | - Shang Feng
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China
| | - Shen Shen
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China
| | - Tingting Liu
- Shijiazhuang Agricultural Technology Extension Center, Shijiazhuang, 050051, China
| | - Zhiyan Cao
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China; College of Plant Protection/Hebei Key Laboratory of Plant Physiology and Molecular Pathology, Hebei Agricultural University, Baoding, Hebei 071001, China
| | - Zhiyong Li
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory of Genetic Improvement and Utilization for Featured Coarse Cereals (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs/Key Laboratory of Minor Cereal Crops of Hebei Province, Shijiazhuang, Hebei, 050035, China.
| | - Zhimin Hao
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China.
| | - Jingao Dong
- State Key Laboratory of North China Crop Improvement and Regulation/Hebei Bioinformatic Utilization and Technological Innovation Center for Agricultural Microbes, Hebei Agricultural University, Hebei 071001, China; College of Plant Protection/Hebei Key Laboratory of Plant Physiology and Molecular Pathology, Hebei Agricultural University, Baoding, Hebei 071001, China.
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Shi R, Dong B, Wang Q, Chen W, Chen Z, Yu S, Jin S, Li Y. Identification and nucleotide sequencing of a novel partitivirus derived from Rhizoctonia solani AG-4 HG III isolate A14. Arch Virol 2023; 168:300. [PMID: 38015292 DOI: 10.1007/s00705-023-05923-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 10/15/2023] [Indexed: 11/29/2023]
Abstract
Rhizoctonia solani is a widely disseminated phytopathogen that is found in the soil and is capable of harming many important species of crops. Here, analysis of the R. solani AG-4 HG III strain A14 led to the identification of a novel mycovirus assigned the tentative name "Rhizoctonia solani partitivirus A14" (RsPV-A14), which was subjected to sequencing and associated analyses. This approach revealed that RsPV-A14 harbored two dsRNA segments, 2022 bp (dsRNA1) and 1905 bp (dsRNA2) in length. dsRNA1 was found to contain a single open reading frame (ORF1) that codes for a 622-amino-acid protein with conserved RNA-dependent RNA polymerase (RdRp) motifs, and dsRNA2 was found to contain an ORF (ORF2) that is predicted to code for a 558-amino-acid capsid protein (CP). BLASTp analysis using the putative RdRp of RsPV-A14 showed sequence similarity to partitiviruses, including Rosellinia necatrix partitivirus 7 (50.53% identity), an unclassified partitivirus. Phylogenetic analysis based on RdRp protein sequences suggested that RsPV-A14 is a novel member of the family Partitiviridae.
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Affiliation(s)
- Rui Shi
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Bengzha Dong
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Qiaodi Wang
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Wurong Chen
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Zebin Chen
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Shuhui Yu
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Song Jin
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China
| | - Yanqiong Li
- College of Agriculture and Life Sciences, Kunming University, Kunming, 650214, Yunnan, China.
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He Y, Zhang K, Li S, Lu X, Zhao H, Guan C, Huang X, Shi Y, Kang Z, Fan Y, Li W, Chen C, Li G, Long O, Chen Y, Hu M, Cheng J, Xu B, Chapman MA, Georgiev MI, Fernie AR, Zhou M. Multiomics analysis reveals the molecular mechanisms underlying virulence in Rhizoctonia and jasmonic acid-mediated resistance in Tartary buckwheat (Fagopyrum tataricum). THE PLANT CELL 2023; 35:2773-2798. [PMID: 37119263 PMCID: PMC10396374 DOI: 10.1093/plcell/koad118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 03/31/2023] [Accepted: 04/07/2023] [Indexed: 06/19/2023]
Abstract
Rhizoctonia solani is a devastating soil-borne pathogen that seriously threatens the cultivation of economically important crops. Multiple strains with a very broad host range have been identified, but only 1 (AG1-IA, which causes rice sheath blight disease) has been examined in detail. Here, we analyzed AG4-HGI 3 originally isolated from Tartary buckwheat (Fagopyrum tataricum), but with a host range comparable to AG1-IA. Genome comparison reveals abundant pathogenicity genes in this strain. We used multiomic approaches to improve the efficiency of screening for disease resistance genes. Transcriptomes of the plant-fungi interaction identified differentially expressed genes associated with virulence in Rhizoctonia and resistance in Tartary buckwheat. Integration with jasmonate-mediated transcriptome and metabolome changes revealed a negative regulator of jasmonate signaling, cytochrome P450 (FtCYP94C1), as increasing disease resistance probably via accumulation of resistance-related flavonoids. The integration of resistance data for 320 Tartary buckwheat accessions identified a gene homolog to aspartic proteinase (FtASP), with peak expression following R. solani inoculation. FtASP exhibits no proteinase activity but functions as an antibacterial peptide that slows fungal growth. This work reveals a potential mechanism behind pathogen virulence and host resistance, which should accelerate the molecular breeding of resistant varieties in economically essential crops.
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Affiliation(s)
- Yuqi He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
- National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya 572024, China
| | - Kaixuan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Shijuan Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
- College of Plant Protection, Gansu Agricultural University, Lanzhou 730070, China
| | - Xiang Lu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
- College of Agriculture, Guizhou University, Guiyang 550025, China
| | - Hui Zhao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Chaonan Guan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
- National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya 572024, China
| | - Xu Huang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Yaliang Shi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Zhen Kang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Yu Fan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Wei Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Cheng Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Guangsheng Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Ou Long
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Yuanyuan Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Mang Hu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
| | - Jianping Cheng
- College of Agriculture, Guizhou University, Guiyang 550025, China
| | - Bingliang Xu
- College of Plant Protection, Gansu Agricultural University, Lanzhou 730070, China
| | - Mark A Chapman
- Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Milen I Georgiev
- Laboratory of Metabolomics, Institute of Microbiology, Bulgarian Academy of Sciences, Plovdiv 4000, Bulgaria
- Center of Plant Systems Biology and Biotechnology, Plovdiv 4000, Bulgaria
| | - Alisdair R Fernie
- Center of Plant Systems Biology and Biotechnology, Plovdiv 4000, Bulgaria
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Potsdam 14476, Germany
| | - Meiliang Zhou
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, National Crop Gene Bank Building, Beijing 100081, China
- National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya 572024, China
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Selection of reference genes for RT-qPCR analysis of rice with Rhizoctonia solani infection and biocontrol PGPR/KSi application. Mol Biol Rep 2023; 50:4225-4237. [PMID: 36894770 DOI: 10.1007/s11033-023-08361-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/23/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Rhizoctonia solani (AG1 IA) is an important pathogen of rice (Oryza sativa L.) that causes rice sheath blight (RSB). Since control of RSB by breeding and fungicides have had limited success, novel strategies like biocontrol with plant growth-promoting rhizobacteria (PGPR) can be an effective alternative. METHOD AND RESULTS Seven commonly used reference genes (RGs), 18SrRNA, ACT1, GAPDH2, UBC5, RPS27, eIF4a and CYP28, were evaluated for their stability in rice-R. solani-PGPR interaction for real-time quantitative PCR (RT-qPCR) analysis. Different algorithms were examined, Delta Ct, geNorm, NormFinder, BestKeeper, and comprehensive ranking by RefFinder, to evaluate RT-qPCR of rice in tissues infected with R. solani and treated with the PGPR strains, Pseudomonas saponiphilia and Pseudomonas protegens, with potassium silicate (KSi) alone or in combination with each PGPR strain. RG stability was affected for each treatment and treatment-specific RG selection was suggested. Validation analysis was done for nonexpressor of PR-1(NPR1) for each treatment. CONCLUSION Overall, ACT1 was the most stable RG with R. solani infection alone, GAPDH2 with R. solani infection plus KSi, UBC5 with R. solani infection plus P. saponiphilia, and eIF4a with R. solani infection plus P. protegens. Both ACT1 and RPS27 were the most stable with the combination of KSi and P. saponiphilia, while RPS27 was the most stable with the combination of KSi and P. protegens.
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Akber MA, Mubeen M, Sohail MA, Khan SW, Solanki MK, Khalid R, Abbas A, Divvela PK, Zhou L. Global distribution, traditional and modern detection, diagnostic, and management approaches of Rhizoctonia solani associated with legume crops. Front Microbiol 2023; 13:1091288. [PMID: 36815202 PMCID: PMC9939780 DOI: 10.3389/fmicb.2022.1091288] [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: 11/06/2022] [Accepted: 12/14/2022] [Indexed: 02/08/2023] Open
Abstract
Sustainable development relies heavily on a food system that is both safe and secure. Several approaches may lead to sustainability and food safety. An increase in the cultivation of legume crops is one of the approaches for enhancing agricultural viability and ensuring adequate food supply. Legumes may increase daily intake of fiber, folate, and protein as substitutes for meat and dairy. They are also crucial in various intercropping systems worldwide. However, legume production has been hampered by Rhizoctonia solani due to its destructive lifestyle. R. solani causes blights, damping off, and rotting diseases in legume crops. Our knowledge of the global distribution of R. solani associated with legume crops (alfalfa, soybean, chickpea, pea, lentil, common bean, and peanut), detection, diagnosis, and management of legume crops diseases caused by R. solani is limited. Traditional approaches rely on the incubation of R. solani, visual examination of symptoms on host legume crops, and microscopy identification. However, these approaches are time-consuming, require technical expertise, fail to detect a minimal amount of inoculum, and are unreliable. Biochemical and molecular-based approaches have been used with great success recently because of their excellent sensitivity and specificity. Along with conventional PCR, nested PCR, multiplex PCR, real-time PCR, magnetic-capture hybridization PCR, and loop-mediated isothermal amplification have been widely used to detect and diagnose R. solani. In the future, Next-generation sequencing will likely be used to a greater extent to detect R. solani. This review outlines global distribution, survival, infection and disease cycle, traditional, biochemical, molecular, and next-generation sequencing detection and diagnostic approaches, and an overview of the resistant resources and other management strategies to cope with R. solani.
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Affiliation(s)
- Muhammad Abdullah Akber
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China,State Key Laboratory of Grassland Agroecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Mustansar Mubeen
- Department of Plant Pathology, College of Agriculture, University of Sargodha, Sargodha, Pakistan
| | - Muhammad Aamir Sohail
- Department of Plant Pathology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Sher Wali Khan
- Department of Plant Science, Karakoram International University, Gilgit, Pakistan
| | - Manoj Kumar Solanki
- Plant Cytogenetics and Molecular Biology Group, Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, the University of Silesia in Katowice, Katowice, Poland
| | - Rida Khalid
- School of Biological Sciences, University of the Punjab, Lahore, Pakistan
| | - Aqleem Abbas
- Department of Plant Pathology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China,Department of Plant Science, Karakoram International University, Gilgit, Pakistan,*Correspondence: Aqleem Abbas, ✉
| | | | - Lei Zhou
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China,Lei Zhou, ✉
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Cheng Z, Lv X, Duan C, Zhu H, Wang J, Xu Z, Yin H, Zhou X, Li M, Hao Z, Li F, Li X, Weng J. Pathogenicity Variation in Two Genomes of Cercospora Species Causing Gray Leaf Spot in Maize. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2023; 36:14-25. [PMID: 36251001 DOI: 10.1094/mpmi-06-22-0138-r] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The gray leaf spots caused by Cercospora spp. severely affect the yield and quality of maize. However, the evolutionary relation and pathogenicity variation between species of the Cercospora genus is largely unknown. In this study, we constructed high-quality reference genomes by nanopore sequencing two Cercospora species, namely, C. zeae-maydis and C. zeina, with differing pathogenicity, collected from northeast (Liaoning [LN]) and southeast (Yunnan [YN]) China, respectively. The genome size of C. zeae-maydis-LN is 45.08 Mb, containing 10,839 annotated genes, whereas that of Cercospora zeina-YN is 42.18 Mb, containing 10,867 annotated genes, of which approximately 86.58% are common in the two species. The difference in their genome size is largely attributed to increased long terminal repeat retrotransposons of 3.8 Mb in total length in C. zeae-maydis-LN. There are 41 and 30 carbohydrate-binding gene subfamilies identified in C. zeae-maydis-LN and C. zeina-YN, respectively. A higher number of carbohydrate-binding families found in C. zeae-maydis-LN, and its unique CBM4, CBM37, and CBM66, in particular, may contribute to variation in pathogenicity between the two species, as the carbohydrate-binding genes are known to encode cell wall-degrading enzymes. Moreover, there are 114 and 107 effectors predicted, with 47 and 46 having unique potential pathogenicity in C. zeae-maydis-LN and C. zeina-YN, respectively. Of eight effectors randomly selected for pathogenic testing, five were found to inhibit cell apoptosis induced by Bcl-2-associated X. Taken together, our results provide genomic insights into variation in pathogenicity between C. zeae-maydis and C. zeina. [Formula: see text] Copyright © 2023 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)
- Zixiang Cheng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiangling Lv
- College of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, 110161, China
| | - Canxing Duan
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hanyong Zhu
- Wenshan Academy of Agricultural Sciences, Wenshan, Yunnan, 663000, China
| | - Jianjun Wang
- Corn Research Institute, Shanxi Agricultural University, Xinzhou, Shanxi, 030600, China
| | - Zhennan Xu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huifei Yin
- College of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, 110161, China
| | - Xiaohang Zhou
- College of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, 110161, China
| | - Mingshun Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhuafang Hao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Fenghai Li
- College of Agronomy, Shenyang Agricultural University, Shenyang, Liaoning, 110161, China
| | - Xinhai Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jianfeng Weng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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Host–Pathogen Interaction 3.0. Int J Mol Sci 2022; 23:ijms232112811. [DOI: 10.3390/ijms232112811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
Microorganisms can interact with plants, animals and humans in many different ways, e [...]
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Chen X, Yu Z, Sun Y, Yang M, Jiang N. Molecular characterization of a novel partitivirus isolated from Rhizoctonia solani. Front Microbiol 2022; 13:978075. [PMID: 36204602 PMCID: PMC9531756 DOI: 10.3389/fmicb.2022.978075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
Rhizoctonia solani is a widely distributed plant pathogen that can damage many crops. Here, we identified a novel mycovirus tentatively named Rhizoctonia solani partitivirus 433 (RsPV433) from an R. solani (AG-3) strain which caused tobacco target spot disease on flue-cured tobacco. RsPV433 was consisted of two dsRNA segments with lengths of 2450 and 2273 bp, which encoded an RNA-dependent RNA polymerase and a coat protein, respectively. BLASTP results of RsPV433 showed that the closest relative of RsPV433 was Sarcosphaera coronaria partitivirus (QLC36830.1), with an identity of 60.85% on the RdRp amino sequence. Phylogenetic analysis indicated that RsPV433 belonged to the Betapartitivirus genus in the Partitiviridae family. The virus transmission experiment revealed that RsPV433 can be transmitted horizontally. We further tested the biological effect of RsPV433 on R. solani strains and found that the RsPV433-infected R. solani strain grew slower than the RsPV433-free strain on the PDA medium and RsPV433 seemed to have no obvious impact on the lesion inducing ability of R. solani.
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Affiliation(s)
- Xiangru Chen
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
| | - Zhaoyao Yu
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
| | - Yujia Sun
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
| | - Meipeng Yang
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
| | - Ning Jiang
- Agronomic Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, China
- *Correspondence: Ning Jiang
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Nadarajah K, Abdul Rahman NSN. Plant-Microbe Interaction: Aboveground to Belowground, from the Good to the Bad. Int J Mol Sci 2021; 22:ijms221910388. [PMID: 34638728 PMCID: PMC8508622 DOI: 10.3390/ijms221910388] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/14/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
Soil health and fertility issues are constantly addressed in the agricultural industry. Through the continuous and prolonged use of chemical heavy agricultural systems, most agricultural lands have been impacted, resulting in plateaued or reduced productivity. As such, to invigorate the agricultural industry, we would have to resort to alternative practices that will restore soil health and fertility. Therefore, in recent decades, studies have been directed towards taking a Magellan voyage of the soil rhizosphere region, to identify the diversity, density, and microbial population structure of the soil, and predict possible ways to restore soil health. Microbes that inhabit this region possess niche functions, such as the stimulation or promotion of plant growth, disease suppression, management of toxicity, and the cycling and utilization of nutrients. Therefore, studies should be conducted to identify microbes or groups of organisms that have assigned niche functions. Based on the above, this article reviews the aboveground and below-ground microbiomes, their roles in plant immunity, physiological functions, and challenges and tools available in studying these organisms. The information collected over the years may contribute toward future applications, and in designing sustainable agriculture.
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