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Rott ME, Ghoshal K, Lerat S, Brosseau C, Clément G, Phelan J, Poojari S, Gaafar Y, Vemulapati BM, Scheer H, Ritzenthaler C, Fall ML, Moffett P. Improving grapevine virus diagnostics: Comparative analysis of three dsRNA enrichment methods for high-throughput sequencing. J Virol Methods 2024; 329:114997. [PMID: 39059502 DOI: 10.1016/j.jviromet.2024.114997] [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: 12/13/2023] [Revised: 07/12/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024]
Abstract
The extraction of double stranded (ds) RNA is a common enrichment method for the study, characterization, and detection of RNA viruses. In addition to RNA viruses, viroids, and some DNA viruses, can also be detected from dsRNA enriched extracts which makes it an attractive method for detecting a wide range of viruses when coupled with HTS. Several dsRNA enrichment strategies have been developed. The oldest utilizes the selective binding properties of dsRNA to cellulose. More recent methods are based on the application of anti-dsRNA antibodies and viral proteins with a specific affinity for dsRNA. All three methods have been used together with HTS for plant virus detection and study. To our knowledge, this is the first comparative study of three alternative dsRNA enrichment methods for virus and viroid detection through HTS using virus-infected, and healthy grapevine test plants. Extracts were performed in triplicate using methods based on, the anti-dsRNA antibody mAb rJ2 (Millipore Sigma Canada Ltd, Oakville, ON, Canada), the B2 dsRNA binding protein, and ReliaPrep™ Resin (Promega Corporation, Madison, WI, USA). The results show that the workflows for all three methods are effectively comparable, apart from purification steps related to antibody and binding protein construct. Both the cellulose resin and dsRNA binding protein construct methods provide highly enriched dsRNA extracts suitable for HTS with the B2 method providing a 36× and the ReliaPrep™ Resin a 163× increase in dsRNA enrichment compared to the mAb rJ2 antibody. The overall consistency and cost effectiveness of the ReliaPrep™ cellulose resin-based method and the potentially simpler adaptation to robotics made it the method of choice for future transfer to a semi-automated workflow.
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Affiliation(s)
- Michael E Rott
- Canadian Food Inspection Agency, Centre for Plant Health, Sidney Laboratory, 8801 East Saanich Rd, North Saanich, British Columbia V8L 1H3, Canada.
| | - Kankana Ghoshal
- Canadian Food Inspection Agency, Centre for Plant Health, Sidney Laboratory, 8801 East Saanich Rd, North Saanich, British Columbia V8L 1H3, Canada
| | - Sylvain Lerat
- Département de Biologie, Université de Sherbrooke, 2500 Bd de l'Université, Sherbrooke, Québec J1K 2R1, Canada
| | - Chantal Brosseau
- Département de Biologie, Université de Sherbrooke, 2500 Bd de l'Université, Sherbrooke, Québec J1K 2R1, Canada
| | - Geneviève Clément
- Département de Biologie, Université de Sherbrooke, 2500 Bd de l'Université, Sherbrooke, Québec J1K 2R1, Canada
| | - James Phelan
- Canadian Food Inspection Agency, Centre for Plant Health, Sidney Laboratory, 8801 East Saanich Rd, North Saanich, British Columbia V8L 1H3, Canada
| | - Sudarsana Poojari
- Cool Climate Oenology and Viticulture Institute, Brock University, St. Catharines, Ontario L2S 3A1, Canada
| | - Yahya Gaafar
- Canadian Food Inspection Agency, Centre for Plant Health, Sidney Laboratory, 8801 East Saanich Rd, North Saanich, British Columbia V8L 1H3, Canada
| | - Bhadra M Vemulapati
- Cool Climate Oenology and Viticulture Institute, Brock University, St. Catharines, Ontario L2S 3A1, Canada
| | - Hélène Scheer
- Institut de Biologie Moléculaire des Plantes, CNRS, Université de Strasbourg, Strasbourg 67000, France
| | - Christophe Ritzenthaler
- Institut de Biologie Moléculaire des Plantes, CNRS, Université de Strasbourg, Strasbourg 67000, France
| | - Mamadou L Fall
- Agriculture and Agri-Food Canada, 430 Gouin Boulevard, Saint-Jean-sur-Richelieu, Québec J3B 3EB, Canada
| | - Peter Moffett
- Département de Biologie, Université de Sherbrooke, 2500 Bd de l'Université, Sherbrooke, Québec J1K 2R1, Canada
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Kanapiya A, Amanbayeva U, Tulegenova Z, Abash A, Zhangazin S, Dyussembayev K, Mukiyanova G. Recent advances and challenges in plant viral diagnostics. FRONTIERS IN PLANT SCIENCE 2024; 15:1451790. [PMID: 39193213 PMCID: PMC11347306 DOI: 10.3389/fpls.2024.1451790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 07/24/2024] [Indexed: 08/29/2024]
Abstract
Accurate and timely diagnosis of plant viral infections plays a key role in effective disease control and maintaining agricultural productivity. Recent advances in the diagnosis of plant viruses have significantly expanded our ability to detect and monitor viral pathogens in agricultural crops. This review discusses the latest advances in diagnostic technologies, including both traditional methods and the latest innovations. Conventional methods such as enzyme-linked immunosorbent assay and DNA amplification-based assays remain widely used due to their reliability and accuracy. However, diagnostics such as next-generation sequencing and CRISPR-based detection offer faster, more sensitive and specific virus detection. The review highlights the main advantages and limitations of detection systems used in plant viral diagnostics including conventional methods, biosensor technologies and advanced sequence-based techniques. In addition, it also discusses the effectiveness of commercially available diagnostic tools and challenges facing modern diagnostic techniques as well as future directions for improving informed disease management strategies. Understanding the main features of available diagnostic methodologies would enable stakeholders to choose optimal management strategies against viral threats and ensure global food security.
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Affiliation(s)
- Aizada Kanapiya
- Department of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
| | - Ulbike Amanbayeva
- Laboratory of Biodiversity and Genetic Resources, National Center for Biotechnology, Astana, Kazakhstan
| | - Zhanar Tulegenova
- Department of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
- Laboratory of Biodiversity and Genetic Resources, National Center for Biotechnology, Astana, Kazakhstan
| | - Altyngul Abash
- Department of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
| | - Sayan Zhangazin
- Department of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
| | - Kazbek Dyussembayev
- Department of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
- Laboratory of Biodiversity and Genetic Resources, National Center for Biotechnology, Astana, Kazakhstan
| | - Gulzhamal Mukiyanova
- Laboratory of Biodiversity and Genetic Resources, National Center for Biotechnology, Astana, Kazakhstan
- Scientific Center "Agrotechnopark", Shakarim University, Semey, Kazakhstan
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3
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Dantes W, Boatwright L, Cieniewicz EJ. Comparing RT-PCR of Individual Samples with High-Throughput Sequencing of Pooled Plant Samples for Field-Level Surveillance of Viruses in Blackberry and Wild Rubus. PLANT DISEASE 2024; 108:2435-2446. [PMID: 38557244 DOI: 10.1094/pdis-11-23-2428-re] [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: 04/04/2024]
Abstract
Blackberry production is increasing in the Southeastern United States with the availability of new cultivars. In addition to high production costs, growers are challenged by virus diseases. Blackberry yellow vein disease (BYVD) significantly limits blackberry production. BYVD is associated with the crinivirus blackberry yellow vein-associated virus in mixed infections with other viruses. The specific disease etiology and ecological factors underlying BYVD are not well understood and rely on the effective diagnosis of several viruses involved in the complex. In 2021, we collected samples from blackberry plants showing BYVD symptoms, asymptomatic blackberry plants, and wild Rosaceae spp. from nine farms across South Carolina, for a total of 372 individual plant samples. RNA from individual samples was isolated and pooled into sample groups (i.e., symptomatic, asymptomatic, and wild) from each farm for a total of 24 pooled samples. We sequenced the pooled RNA using Illumina and analyzed sequence profiles using the Virtool bioinformatics application. We also tested each plant for six viruses by reverse transcriptase PCR or reverse transcriptase quantitative PCR and compared plant (PCR)-level and field (high-throughput sequencing [HTS])-level data. Virtool detected 17 known viruses in the pooled samples, including 11 blackberry viruses. PCR testing was mostly consistent with HTS, with some notable disagreements for specific viruses. Our study demonstrates that HTS could be used as an efficient tool to detect viruses in bulked samples in blackberry fields, although limitations to using HTS for field-level surveillance are also discussed here.
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Affiliation(s)
- Wanita Dantes
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634
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Marais A, Gentit P, Brans Y, Renvoisé JP, Faure C, Saison A, Cousseau P, Castaing J, Chambon F, Pion A, Calado G, Lefebvre M, Garnier S, Latour F, Bresson K, Grasseau N, Candresse T. Comparative Performance Evaluation of Double-Stranded RNA High-Throughput Sequencing for the Detection of Viral Infection in Temperate Fruit Crops. PHYTOPATHOLOGY 2024; 114:1701-1709. [PMID: 38376958 DOI: 10.1094/phyto-12-23-0480-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: 02/22/2024]
Abstract
There is limited information on the compared performances of biological, serological. and molecular assays with high-throughput sequencing (HTS) for viral indexing in temperate fruit crops. Here, using a range of samples of predetermined virological status, we compared two performance criteria (inclusivity and analytical sensitivity) of enzyme-linked immunosorbent assay (ELISA), molecular hybridization, reverse transcription (RT)-PCR, and double-stranded RNA (dsRNA) HTS for the detection of a total of 14 viruses (10 genera) and four viroids (three genera). When undiluted samples from individual plants were used, ELISA had the lowest performance, with an overall detection rate of 68.7%, followed by RT-PCR (82.5%) and HTS (90.7%; 100% if considering only viruses). The lower performance of RT-PCR reflected the inability to amplify some isolates as a consequence of point mutations affecting primer-binding sites. In addition, HTS identified viruses that had not been identified by other assays in nearly two-thirds of the samples. Analysis of serial dilutions of fruit tree samples allowed comparison of analytical sensitivities for various viruses. ELISA showed the lowest analytical sensitivity, but RT-PCR showed higher analytical sensitivity than HTS for most of the samples. Overall, these results confirm the superiority of HTS over biological indexing in terms of speed and inclusivity and show that while the absolute analytical sensitivity of RT-PCR tends to be higher than that of HTS, PCR inclusivity is affected by viral genetic diversity. Taken together, these results make a strong case for the implementation of HTS-based approaches in fruit tree viral testing protocols supporting quarantine and certification programs.
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Affiliation(s)
- Armelle Marais
- INRAE, Univ. Bordeaux, UMR Biologie du fruit et Pathologie, CS20032, 33882 Villenave d'Ornon Cedex, France
| | - Pascal Gentit
- ANSES, Plant Health Laboratory, Unité de Bactériologie, Virologie et détection des OGM, 7 rue Jean Dixméras, 49044 Angers Cedex 01, France
| | - Yoann Brans
- CTIFL, Laboratoire de virologie fruitière, Centre de Lanxade, 24130 Prigonrieux, France
| | | | - Chantal Faure
- INRAE, Univ. Bordeaux, UMR Biologie du fruit et Pathologie, CS20032, 33882 Villenave d'Ornon Cedex, France
| | - Anne Saison
- ANSES, Plant Health Laboratory, Unité de Bactériologie, Virologie et détection des OGM, 7 rue Jean Dixméras, 49044 Angers Cedex 01, France
| | - Pascaline Cousseau
- ANSES, Plant Health Laboratory, Unité de Bactériologie, Virologie et détection des OGM, 7 rue Jean Dixméras, 49044 Angers Cedex 01, France
| | - Julie Castaing
- CTIFL, Laboratoire de virologie fruitière, Centre de Lanxade, 24130 Prigonrieux, France
| | - Fabien Chambon
- ANSES, Plant Health Laboratory, Unité de Quarantaine, 63370 Lempdes, France
| | - Angélique Pion
- ANSES, Plant Health Laboratory, Unité de Quarantaine, 63370 Lempdes, France
| | - Grégory Calado
- ANSES, Plant Health Laboratory, Unité de Quarantaine, 63370 Lempdes, France
| | - Marie Lefebvre
- INRAE, Univ. Bordeaux, UMR Biologie du fruit et Pathologie, CS20032, 33882 Villenave d'Ornon Cedex, France
| | - Soraya Garnier
- ANSES, Plant Health Laboratory, Unité de Quarantaine, 63370 Lempdes, France
| | - François Latour
- CTIFL, Laboratoire de virologie fruitière, Centre de Lanxade, 24130 Prigonrieux, France
| | - Kévin Bresson
- CTIFL, Laboratoire de virologie fruitière, Centre de Lanxade, 24130 Prigonrieux, France
| | - Nathalie Grasseau
- CTIFL, Laboratoire de virologie fruitière, Centre de Lanxade, 24130 Prigonrieux, France
| | - Thierry Candresse
- INRAE, Univ. Bordeaux, UMR Biologie du fruit et Pathologie, CS20032, 33882 Villenave d'Ornon Cedex, France
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Kumar R, Gupta N, Sharma SK, Kishan G, Srivastava N, Khan ZA, Kumar A, Baranwal VK. Mixed infection of two mandariviruses identified by high-throughput sequencing in Kinnow mandarin and development of their specific detection using duplex RT-PCR. 3 Biotech 2024; 14:170. [PMID: 38828101 PMCID: PMC11143089 DOI: 10.1007/s13205-024-04011-9] [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: 01/17/2024] [Accepted: 05/18/2024] [Indexed: 06/05/2024] Open
Abstract
In the current study, high-throughput sequencing (HTS) was used to identify viruses associated with the Kinnow mandarin (Citrus reticulata) plants exhibiting yellow vein clearing, mottling, and chlorosis symptoms at experimental farm of ICAR-Indian Agricultural Research Institute, New Delhi, India. During November 2022, leaf samples of symptomatic and asymptomatic Kinnow mandarin trees were collected, subjected to HTS and one of the representative symptomatic samples was subjected to leaf-dip electron microscopy (EM). In the EM results, flexuous virus particles typical of mandarivirus were observed. Ribosomal RNA was depleted from total RNA of pooled samples and RNA sequencing was done using NovaSeq 6000. Host unaligned reads were de novo assembled into contigs, which were annotated through BLASTn using database of plant viruses/viroids reference genomes (NCBI). Results of assembled contigs revealed near-complete genomes of two mandariviruses, i.e., citrus yellow vein clearing virus (CYVCV) and citrus yellow mottle-associated virus (CiYMaV). The values of fragments per kilo base transcript length per million fragments mapped estimation indicated the dominance of CYVCV in HTS data and it was also confirmed through krona plot distribution of viruses in the pooled samples. A rapid and reliable duplex RT-PCR assay was also developed and standardized for the simultaneous detection of both CYVCV and CiYMaV in a pooled Kinnow mandarin sample. The developed duplex RT-PCR was then validated for the presence of these viruses in individual Kinnow mandarin samples. The specificity and sensitivity results confirmed that primers were highly specific to their targets and able to detect viruses up to 10-2 dilutions of RNA in standard and duplex RT-PCR. Therefore, the developed rapid duplex RT-PCR can be used for virus indexing and production of virus-free Kinnow mandarin plants for certification programs. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-024-04011-9.
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Affiliation(s)
- Rakesh Kumar
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Nitika Gupta
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Susheel Kumar Sharma
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Gopi Kishan
- ICAR-Indian Institute of Seed Science, Uttar Pradesh, Kushmaur, Mau, 275101 India
| | - Nishant Srivastava
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Zainul A. Khan
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Ashwini Kumar
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Virendra Kumar Baranwal
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
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González-Pérez E, Chiquito-Almanza E, Villalobos-Reyes S, Canul-Ku J, Anaya-López JL. Diagnosis and Characterization of Plant Viruses Using HTS to Support Virus Management and Tomato Breeding. Viruses 2024; 16:888. [PMID: 38932180 PMCID: PMC11209215 DOI: 10.3390/v16060888] [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: 04/25/2024] [Revised: 05/20/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024] Open
Abstract
Viral diseases pose a significant threat to tomato crops (Solanum lycopersicum L.), one of the world's most economically important vegetable crops. The limited genetic diversity of cultivated tomatoes contributes to their high susceptibility to viral infections. To address this challenge, tomato breeding programs must harness the genetic resources found in native populations and wild relatives. Breeding efforts may aim to develop broad-spectrum resistance against the virome. To identify the viruses naturally infecting 19 advanced lines, derived from native tomatoes, high-throughput sequencing (HTS) of small RNAs and confirmation with PCR and RT-PCR were used. Single and mixed infections with tomato mosaic virus (ToMV), tomato golden mosaic virus (ToGMoV), and pepper huasteco yellow vein virus (PHYVV) were detected. The complete consensus genomes of three variants of Mexican ToMV isolates were reconstructed, potentially forming a new ToMV clade with a distinct 3' UTR. The absence of reported mutations associated with resistance-breaking to ToMV suggests that the Tm-1, Tm-2, and Tm-22 genes could theoretically be used to confer resistance. However, the high mutation rates and a 63 nucleotide insertion in the 3' UTR, as well as amino acid mutations in the ORFs encoding 126 KDa, 183 KDa, and MP of Mexican ToMV isolates, suggest that it is necessary to evaluate the capacity of these variants to overcome Tm-1, Tm-2, and Tm-22 resistance genes. This evaluation, along with the characterization of advanced lines using molecular markers linked to these resistant genes, will be addressed in future studies as part of the breeding strategy. This study emphasizes the importance of using HTS for accurate identification and characterization of plant viruses that naturally infect tomato germplasm based on the consensus genome sequences. This study provides crucial insights to select appropriate disease management strategies and resistance genes and guide breeding efforts toward the development of virus-resistant tomato varieties.
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Affiliation(s)
| | - Elizabeth Chiquito-Almanza
- Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Celaya, Guanajuato 38110, Mexico; (E.G.-P.); (S.V.-R.); (J.C.-K.)
| | | | | | - José Luis Anaya-López
- Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Celaya, Guanajuato 38110, Mexico; (E.G.-P.); (S.V.-R.); (J.C.-K.)
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Kim HJ, Choi SR, Cho IS, Jeong RD. Viral Metatranscriptomic Analysis to Reveal the Diversity of Viruses Infecting Satsuma Mandarin (Citrus unshiu) in Korea. THE PLANT PATHOLOGY JOURNAL 2024; 40:115-124. [PMID: 38606442 PMCID: PMC11016556 DOI: 10.5423/ppj.oa.01.2024.0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 04/13/2024]
Abstract
Citrus cultivation plays a pivotal role, making a significant contribution to global fruit production and dietary consumption. Accurate identification of viral pathogens is imperative for the effective management of plant viral disease in citrus crops. High-throughput sequencing serves as an alternative approach, enabling comprehensive pathogen identification on a large scale without requiring pre-existing information. In this study, we employed HTS to investigate viral pathogens infecting citrus in three different regions of South Korea: Jejudo (Jeju), Wando-gun (Wando), and Dangjin-si (Dangjin). The results unveiled diverse viruses and viroids that exhibited regional variations. Notably, alongside the identification of well-known citrus viruses such as satsuma dwarf virus, citrus tatter leaf virus, and citrus leaf blotch virus (CLBV), this study also uncovered several viruses and viroids previously unreported in Korean citrus. Phylogenetic analysis revealed that majority of identified viruses exhibited the closest affilations with isolates from China or Japan. However, CLBV and citrus viroid-I-LSS displayed diverse phylogenetic positions, reflecting their regional origins. This study advances our understanding of citrus virome diversity and regional dynamics through HTS, emphasizing its potential in unraveling intricate viral pathogens in agriculture. Consequently, it significantly contributes to disease management strategies, ensuring the resilience of the citrus industry.
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Affiliation(s)
- Hae-Jun Kim
- Department of Applied Biology, Chonnam National University, Gwangju 61185, Korea
| | - Se-Ryung Choi
- Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea
| | - In-Sook Cho
- Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea
| | - Rae-Dong Jeong
- Department of Applied Biology, Chonnam National University, Gwangju 61185, Korea
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Filardo F, Nurulita S, Jones L, Gambley C, Bond S, Sharman M, Campbell P. Genomic variation in pepper vein yellows viruses in Australia, including a new putative variant, PeVYV-10. Arch Virol 2024; 169:18. [PMID: 38180533 DOI: 10.1007/s00705-023-05943-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/19/2023] [Indexed: 01/06/2024]
Abstract
Since the first identification and full sequence of the polerovirus pepper vein yellows virus in Australia in 2016, virus surveys of crops and weeds have sporadically identified PeVYV in different hosts and locations. Genomic comparisons of 14 PeVYV-like isolates using RT-PCR products spanning the 3' end of the RdRp region (ORF 2), the intergenic region, ORF 3a, ORF 4, and ORF 3 (1388 nt) showed that four of the PeVYV isolates might be a new variant or PeVYV-like virus. From six PeVYV-positive plants, eight PeVYV-like sequences were obtained by high-throughput sequencing, as two hosts, 5352 and 5634, contained two slightly different PeVYV-like isolates. Three of the PeVYV-like isolates were most closely related to PeVYV-6 and PeVYV-5, and two isolates were closely related to PeVYV-9 and PeVYV-2. The other three isolates shared only 69-74% nucleotide sequence identity across the whole genome with any of the other PeVYVs, despite sharing 73-98%, 87-91%, and 84-87% amino acid sequence identity in ORF 3a, ORF 3, and the RdRp (ORF 2), respectively, suggesting that this virus is a new PeVYV-like virus, which we have tentatively called PeVYV-10. This is also the first report of a PeVYV-like virus infecting garlic.
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Affiliation(s)
- Fiona Filardo
- Queensland Department of Agriculture and Fisheries, Ecosciences Precinct, GPO Box 267, Brisbane, QLD, 4001, Australia.
| | - Sari Nurulita
- Queensland Alliance for Agriculture and Food Science, Ecosciences Precinct, GPO Box 267, Brisbane, QLD, 4001, Australia
| | - Lynne Jones
- Department of Agriculture Fisheries and Forestry, Northern Australia Quarantine Strategy, GPO Box 858, Canberra, ACT, 2601, Australia
| | - Cherie Gambley
- Principal Research Fellow, School of Agriculture and Food Science, University of Queensland, Gatton, QLD, 4343, Australia
| | - Samantha Bond
- Northern Territory Department of Industry, Tourism and Trade, Berrimah Farm Science Precinct, GPO Box 3000, Darwin, NT, 0801, Australia
| | - Murray Sharman
- Queensland Department of Agriculture and Fisheries, Ecosciences Precinct, GPO Box 267, Brisbane, QLD, 4001, Australia
| | - Paul Campbell
- Queensland Department of Agriculture and Fisheries, Ecosciences Precinct, GPO Box 267, Brisbane, QLD, 4001, Australia
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9
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Bester R, Maree HJ. Validation of High-Throughput Sequencing (HTS) for Routine Detection of Citrus Viruses and Viroids. Methods Mol Biol 2024; 2732:199-219. [PMID: 38060127 DOI: 10.1007/978-1-0716-3515-5_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
The management of plant diseases relies on the accurate identification of pathogens that requires a robust and validated tool in terms of specificity, sensitivity, repeatability, and reproducibility. High-throughput sequencing (HTS) has become the method of choice for virus detection when either a complete viral status of a plant is required in a single assay or if an unknown viral agent is expected. To ensure that the most accurate diagnosis is made from an HTS data analysis, a standardized protocol per pathosystem is required. This chapter presents a detailed protocol for the detection of viruses and viroids infecting citrus using HTS. The protocol describes all the steps from sample processing, nucleic acid extraction, and bioinformatic analyses validated to be an efficient method for detection in this pathosystem. The protocol also includes a section on citrus tristeza virus (CTV) genotype differentiation using HTS data.
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Affiliation(s)
- Rachelle Bester
- Citrus Research International, Stellenbosch, South Africa
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Hans J Maree
- Citrus Research International, Stellenbosch, South Africa.
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa.
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10
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Gil-Valle M, Sáez C, Montes N, Pagán I. Quantification of Plant Virus Seed Transmission Rate in Arabidopsis thaliana. Methods Mol Biol 2024; 2724:181-192. [PMID: 37987906 DOI: 10.1007/978-1-0716-3485-1_13] [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: 11/22/2023]
Abstract
More than 25% of all known plant viruses are transmitted through seeds, which makes this mode of dispersal of great importance for plant virus epidemics. Virus detection in seed stocks remains the most frequent approach for seed health testing, but current methods are not always standardized and/or do not allow analyzing large numbers of seeds. Here, we describe a high-throughput method to quantify plant virus seed transmission rate based on classical grow-out tests, which can be applied to widely different viruses and host species.
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Affiliation(s)
- Miriam Gil-Valle
- Centro de Biotecnología y Genómica de Plantas UPM-INIA/CSIC and E.T.S. Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Spain
| | - Cristina Sáez
- Centro de Biotecnología y Genómica de Plantas UPM-INIA/CSIC and E.T.S. Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Spain
| | - Nuria Montes
- Plant Physiology, Pharmaceutical and Health Sciences Department, Faculty of Pharmacy, Universidad San Pablo-CEU, CEU-Universities, Boadilla del Monte, Madrid, Spain
- Unidad de Metodología, Instituto de Investigación Sanitaria La Princesa (IIS-IP) and Servicio de Reumatología, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria (IIS-IP), Madrid, Spain
| | - Israel Pagán
- Centro de Biotecnología y Genómica de Plantas UPM-INIA/CSIC and E.T.S. Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Spain.
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Hu X, Hurtado-Gonzales OP, Adhikari BN, French-Monar RD, Malapi M, Foster JA, McFarland CD. PhytoPipe: a phytosanitary pipeline for plant pathogen detection and diagnosis using RNA-seq data. BMC Bioinformatics 2023; 24:470. [PMID: 38093207 PMCID: PMC10717670 DOI: 10.1186/s12859-023-05589-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Detection of exotic plant pathogens and preventing their entry and establishment are critical for the protection of agricultural systems while securing the global trading of agricultural commodities. High-throughput sequencing (HTS) has been applied successfully for plant pathogen discovery, leading to its current application in routine pathogen detection. However, the analysis of massive amounts of HTS data has become one of the major challenges for the use of HTS more broadly as a rapid diagnostics tool. Several bioinformatics pipelines have been developed to handle HTS data with a focus on plant virus and viroid detection. However, there is a need for an integrative tool that can simultaneously detect a wider range of other plant pathogens in HTS data, such as bacteria (including phytoplasmas), fungi, and oomycetes, and this tool should also be capable of generating a comprehensive report on the phytosanitary status of the diagnosed specimen. RESULTS We have developed an open-source bioinformatics pipeline called PhytoPipe (Phytosanitary Pipeline) to provide the plant pathology diagnostician community with a user-friendly tool that integrates analysis and visualization of HTS RNA-seq data. PhytoPipe includes quality control of reads, read classification, assembly-based annotation, and reference-based mapping. The final product of the analysis is a comprehensive report for easy interpretation of not only viruses and viroids but also bacteria (including phytoplasma), fungi, and oomycetes. PhytoPipe is implemented in Snakemake workflow with Python 3 and bash scripts in a Linux environment. The source code for PhytoPipe is freely available and distributed under a BSD-3 license. CONCLUSIONS PhytoPipe provides an integrative bioinformatics pipeline that can be used for the analysis of HTS RNA-seq data. PhytoPipe is easily installed on a Linux or Mac system and can be conveniently used with a Docker image, which includes all dependent packages and software related to analyses. It is publicly available on GitHub at https://github.com/healthyPlant/PhytoPipe and on Docker Hub at https://hub.docker.com/r/healthyplant/phytopipe .
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Affiliation(s)
- Xiaojun Hu
- United States Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), Plant Germplasm Quarantine Program (PGQP), Beltsville, MD, USA.
| | - Oscar P Hurtado-Gonzales
- United States Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), Plant Germplasm Quarantine Program (PGQP), Beltsville, MD, USA
| | - Bishwo N Adhikari
- United States Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), Plant Germplasm Quarantine Program (PGQP), Beltsville, MD, USA
| | - Ronald D French-Monar
- United States Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), Plant Germplasm Quarantine Program (PGQP), Beltsville, MD, USA
| | - Martha Malapi
- United States Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), Plant Germplasm Quarantine Program (PGQP), Beltsville, MD, USA
- American Seed Trade Association (ASTA), Alexandria, VA, USA
| | - Joseph A Foster
- United States Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Plant Protection and Quarantine (PPQ), Plant Germplasm Quarantine Program (PGQP), Beltsville, MD, USA
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12
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Guo J, Yin J, Hu H, Zhang T, Ye Z, Yang J, Liu H, Chen J, Liu J. Molecular characterization of a novel benyvirus infecting wheat in China. Arch Virol 2023; 168:284. [PMID: 37930401 DOI: 10.1007/s00705-023-05912-5] [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: 05/17/2023] [Accepted: 09/25/2023] [Indexed: 11/07/2023]
Abstract
In this study, a novel positive single-stranded RNA (+ ssRNA) virus named wheat yellow stripe associated virus (WYSAV) was identified in wheat plants in China. Molecular characterization revealed that the complete genome of WYSAV is divided into two segments, RNA1 and RNA2, which are 6,460 and 4,935 nucleotides (nt) in length, excluding their respective poly(A) tails. RNA1 contains one large opening reading frame (ORF), encoding a replication-associated protein. RNA2 contains six ORFs, encoding a coat protein (CP), a coat protein readthrough domain protein (CP-RTD), triple gene block protein 1 (TGB1), triple gene block protein 2 (TGB2), triple gene block protein 3 (TGB3), and a cysteine-rich protein (CRP). Phylogenetic analysis showed that WYSAV is related to members of the genus Benyvirus in the family Benyviridae. Thus, WYSAV is proposed to be a new member of the genus Benyvirus. Wheat (Triticum aestivum L.) is one of the most important food crops and ranked third in the world in terms of production, only behind rice and maize [1]. During its growth cycle, wheat faces several biotic and abiotic stresses. Wheat soil-borne virus disease is an important disease that is difficult to control and causes severe yield loss in China each year [2]. The main pathogens causing wheat soil-borne virus disease are Chinese wheat mosaic virus (CWMV) and wheat yellow mosaic virus (WYMV), and their transmission vector is Polymyxa graminis [3-5]. Members of the viral family Benyviridae usually have two to five genomic RNA segments and are transmitted by root-infecting vectors belonging to the family "Plasmodiophoridae". Although few members of the family Benyviridae, of which beet necrotic yellow vein virus is the type member, have been identified [6], several recently identified viruses have been found to be phylogenetically related to benyviruses but are not classified as members of the family Benyviridae. These "unclassified benyviruses" include red clover RNA virus 1, Arceuthobium sichuanense virus 3, Dactylorhiza hatagirea beny-like virus, goji berry chlorosis virus [7], Guiyang benyvirus 1, Guiyang benyvirus 2, Mangifera indica latent virus [8], Rhizoctonia solani beny-like virus 1 [9], Sanya benyvirus 1 [10], and Sclerotium rolfsii beny-like virus 1 [11].In this study, we identified a novel + ssRNA virus in symptomatic leaf samples collected from cultivated wheat in the city of Zhumadian, Henan Province, China. We propose to name this virus "wheat yellow stripe associated virus" (WYSAV), and we have deposited its full-length sequence in the GenBank database under the accession numbers OQ547804 (RNA1) and OQ547805 (RNA2).
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Affiliation(s)
- Jun Guo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Jingliang Yin
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Haichao Hu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Tianye Zhang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Zhuangxin Ye
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Jian Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Hanhong Liu
- Junan County Bureau of Agriculture and Country, Linyi, 276000, China
| | - Jianping Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
| | - Jiaqian Liu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts, Key Laboratory of Biotechnology in Plant Protection of MOA of China and Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
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Fontdevila Pareta N, Khalili M, Maachi A, Rivarez MPS, Rollin J, Salavert F, Temple C, Aranda MA, Boonham N, Botermans M, Candresse T, Fox A, Hernando Y, Kutnjak D, Marais A, Petter F, Ravnikar M, Selmi I, Tahzima R, Trontin C, Wetzel T, Massart S. Managing the deluge of newly discovered plant viruses and viroids: an optimized scientific and regulatory framework for their characterization and risk analysis. Front Microbiol 2023; 14:1181562. [PMID: 37323908 PMCID: PMC10265641 DOI: 10.3389/fmicb.2023.1181562] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 04/25/2023] [Indexed: 06/17/2023] Open
Abstract
The advances in high-throughput sequencing (HTS) technologies and bioinformatic tools have provided new opportunities for virus and viroid discovery and diagnostics. Hence, new sequences of viral origin are being discovered and published at a previously unseen rate. Therefore, a collective effort was undertaken to write and propose a framework for prioritizing the biological characterization steps needed after discovering a new plant virus to evaluate its impact at different levels. Even though the proposed approach was widely used, a revision of these guidelines was prepared to consider virus discovery and characterization trends and integrate novel approaches and tools recently published or under development. This updated framework is more adapted to the current rate of virus discovery and provides an improved prioritization for filling knowledge and data gaps. It consists of four distinct steps adapted to include a multi-stakeholder feedback loop. Key improvements include better prioritization and organization of the various steps, earlier data sharing among researchers and involved stakeholders, public database screening, and exploitation of genomic information to predict biological properties.
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Affiliation(s)
| | - Maryam Khalili
- Univ. Bordeaux, INRAE, UMR BFP, Villenave d'Ornon, France
- EGFV, Univ. Bordeaux, INRAE, ISVV, Villenave d’Ornon, France
| | | | - Mark Paul S. Rivarez
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
- College of Agriculture and Agri-Industries, Caraga State University, Butuan, Philippines
| | - Johan Rollin
- Plant Pathology Laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
- DNAVision (Belgium), Charleroi, Belgium
| | - Ferran Salavert
- School of Natural and Environmental Sciences, Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Coline Temple
- Plant Pathology Laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Miguel A. Aranda
- Department of Stress Biology and Plant Pathology, Center for Edaphology and Applied Biology of Segura, Spanish National Research Council (CSIC), Murcia, Spain
| | - Neil Boonham
- School of Natural and Environmental Sciences, Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Marleen Botermans
- Netherlands Institute for Vectors, Invasive Plants and Plant Health (NIVIP), Wageningen, Netherlands
| | | | - Adrian Fox
- School of Natural and Environmental Sciences, Faculty of Science, Agriculture and Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom
- Fera Science Ltd, York Biotech Campus, York, United Kingdom
| | | | - Denis Kutnjak
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Armelle Marais
- Univ. Bordeaux, INRAE, UMR BFP, Villenave d'Ornon, France
| | | | - Maja Ravnikar
- Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia
| | - Ilhem Selmi
- Plant Pathology Laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
| | - Rachid Tahzima
- Plant Pathology Laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
- Plant Sciences Unit, Institute for Agricultural, Fisheries and Food Research (ILVO), Merelbeke, Belgium
| | - Charlotte Trontin
- European and Mediterranean Plant Protection Organization, Paris, France
| | - Thierry Wetzel
- DLR Rheinpfalz, Institute of Plant Protection, Neustadt an der Weinstrasse, Germany
| | - Sebastien Massart
- Plant Pathology Laboratory, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
- Bioversity International, Montpellier, France
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14
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Costa LC, Atha B, Hu X, Lamour K, Yang Y, O’Connell M, McFarland C, Foster JA, Hurtado-Gonzales OP. High-throughput detection of a large set of viruses and viroids of pome and stone fruit trees by multiplex PCR-based amplicon sequencing. FRONTIERS IN PLANT SCIENCE 2022; 13:1072768. [PMID: 36578329 PMCID: PMC9791224 DOI: 10.3389/fpls.2022.1072768] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
A comprehensive diagnostic method of known plant viruses and viroids is necessary to provide an accurate phytosanitary status of fruit trees. However, most widely used detection methods have a small limit on either the number of targeted viruses/viroids or the number of samples to be evaluated at a time, hampering the ability to rapidly scale up the test capacity. Here we report that by combining the power of high multiplexing PCR (499 primer pairs) of small amplicons (120-135bp), targeting 27 viruses and 7 viroids of fruit trees, followed by a single high-throughput sequencing (HTS) run, we accurately diagnosed the viruses and viroids on as many as 123 pome and stone fruit tree samples. We compared the accuracy, sensitivity, and reproducibility of this approach and contrast it with other detection methods including HTS of total RNA (RNA-Seq) and individual RT-qPCR for every fruit tree virus or viroid under the study. We argue that this robust and high-throughput cost-effective diagnostic tool will enhance the viral/viroid knowledge of fruit trees while increasing the capacity for large scale diagnostics. This approach can also be adopted for the detection of multiple viruses and viroids in other crops.
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Affiliation(s)
- Larissa Carvalho Costa
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
| | - Benjamin Atha
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
| | - Xiaojun Hu
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
| | - Kurt Lamour
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, United States
| | - Yu Yang
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
| | - Mary O’Connell
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
| | - Clint McFarland
- Plant Protection and Quarantine - Field Operations, Animal and Plant Health Inspection Service, United States Department of Agriculture, Raleigh, NC, United States
| | - Joseph A. Foster
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
| | - Oscar P. Hurtado-Gonzales
- Plant Germplasm Quarantine Program, Animal and Plant Health Inspection Service, United States Department of Agriculture, Beltsville, MD, United States
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15
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Moubset O, François S, Maclot F, Palanga E, Julian C, Claude L, Fernandez E, Rott P, Daugrois JH, Antoine-Lorquin A, Bernardo P, Blouin AG, Temple C, Kraberger S, Fontenele RS, Harkins GW, Ma Y, Marais A, Candresse T, Chéhida SB, Lefeuvre P, Lett JM, Varsani A, Massart S, Ogliastro M, Martin DP, Filloux D, Roumagnac P. Virion-Associated Nucleic Acid-Based Metagenomics: A Decade of Advances in Molecular Characterization of Plant Viruses. PHYTOPATHOLOGY 2022; 112:2253-2272. [PMID: 35722889 DOI: 10.1094/phyto-03-22-0096-rvw] [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] [Indexed: 06/15/2023]
Abstract
Over the last decade, viral metagenomic studies have resulted in the discovery of thousands of previously unknown viruses. These studies are likely to play a pivotal role in obtaining an accurate and robust understanding of how viruses affect the stability and productivity of ecosystems. Among the metagenomics-based approaches that have been developed since the beginning of the 21st century, shotgun metagenomics applied specifically to virion-associated nucleic acids (VANA) has been used to disentangle the diversity of the viral world. We summarize herein the results of 24 VANA-based studies, focusing on plant and insect samples conducted over the last decade (2010 to 2020). Collectively, viruses from 85 different families were reliably detected in these studies, including capsidless RNA viruses that replicate in fungi, oomycetes, and plants. Finally, strengths and weaknesses of the VANA approach are summarized and perspectives of applications in detection, epidemiological surveillance, environmental monitoring, and ecology of plant viruses are provided. [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)
- Oumaima Moubset
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | | | - François Maclot
- Plant Pathology Laboratory, Terra, Gembloux Agro-Bio Tech, Liège University, Gembloux, Belgium
| | - Essowè Palanga
- Institut Togolais de Recherche Agronomique (ITRA-CRASS), B.P. 129, Kara, Togo
| | - Charlotte Julian
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Lisa Claude
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Emmanuel Fernandez
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Philippe Rott
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Jean-Heinrich Daugrois
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | | | | | - Arnaud G Blouin
- Plant Pathology Laboratory, Terra, Gembloux Agro-Bio Tech, Liège University, Gembloux, Belgium
- Plant Protection Department, Agroscope, 1260, Nyon, Switzerland
| | - Coline Temple
- Plant Pathology Laboratory, Terra, Gembloux Agro-Bio Tech, Liège University, Gembloux, Belgium
| | - Simona Kraberger
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, U.S.A
| | - Rafaela S Fontenele
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, U.S.A
| | - Gordon W Harkins
- South African Medical Research Council Capacity Development Unit, South African National Bioinformatics, Institute, University of the Western Cape, South Africa
| | - Yuxin Ma
- Univ. Bordeaux, INRAE, UMR BFP, 33140 Villenave d'Ornon, France
| | - Armelle Marais
- Univ. Bordeaux, INRAE, UMR BFP, 33140 Villenave d'Ornon, France
| | | | | | | | | | - Arvind Varsani
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, U.S.A
- Structural Biology Research Unit, Department of Integrative Biomedical Sciences, University of Cape Town, Observatory, Cape Town, South Africa
| | - Sébastien Massart
- Plant Pathology Laboratory, Terra, Gembloux Agro-Bio Tech, Liège University, Gembloux, Belgium
| | | | - Darren P Martin
- Division of Computational Biology, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Denis Filloux
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Philippe Roumagnac
- CIRAD, UMR PHIM, 34090 Montpellier, France
- PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
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Várallyay E, Přibylová J, Galbacs ZN, Jahan A, Varga T, Špak J, Lenz O, Fránová J, Sedlák J, Koloniuk I. Detection of Apple Hammerhead Viroid, Apple Luteovirus 1 and Citrus Concave Gum-Associated Virus in Apple Propagation Materials and Orchards in the Czech Republic and Hungary. Viruses 2022; 14:v14112347. [PMID: 36366445 PMCID: PMC9695845 DOI: 10.3390/v14112347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/22/2022] [Accepted: 10/24/2022] [Indexed: 02/01/2023] Open
Abstract
Grafting cultivars onto rootstocks is a widely used practice by the apple industry predominantly aimed at faster fruit bearing. Using high-throughput sequencing, we revealed the presence of recently described viral agents, namely apple hammerhead viroid (AHVd), apple luteovirus 1 (ALV-1), and citrus concave gum-associated virus (CCGaV), in germplasm collections and production orchards in the Czech Republic and Hungary. The HTS results were validated with RT-(q)PCR, and Northern blotting techniques. To obtain further insight about the presence of these agents, RT-PCR based surveys were carried out and showed their widespread presence alone or in mixed infections. The pathogens were present both in production areas and in feral samples. In addition, rootstock-to-scion transmission of ALV-1 and CCGaV was confirmed using commercial rootstock materials. Phylogenetic relationships based on partial sequences of distinct variants were also investigated. Furthermore, the rosy apple aphid was found to be ALV-1-positive, suggesting that it might be a potential vector of the virus.
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Affiliation(s)
- Eva Várallyay
- Genomics Research Group, Department of Plant Pathology, Institute of Plant Protection, Hungarian University of Agriculture and Life Sciences, Szent-Gyorgyi Albert Street 4, 2100 Gödöllő, Hungary
- Correspondence: (E.V.); (I.K.)
| | - Jaroslava Přibylová
- Czech Academy of Sciences, Biology Centre, Institute of Plant Molecular Biology, Branišovská 31, 37005 České Budějovice, Czech Republic
| | - Zsuzsanna Nagyne Galbacs
- Genomics Research Group, Department of Plant Pathology, Institute of Plant Protection, Hungarian University of Agriculture and Life Sciences, Szent-Gyorgyi Albert Street 4, 2100 Gödöllő, Hungary
| | - Almash Jahan
- Genomics Research Group, Department of Plant Pathology, Institute of Plant Protection, Hungarian University of Agriculture and Life Sciences, Szent-Gyorgyi Albert Street 4, 2100 Gödöllő, Hungary
| | - Tunde Varga
- Genomics Research Group, Department of Plant Pathology, Institute of Plant Protection, Hungarian University of Agriculture and Life Sciences, Szent-Gyorgyi Albert Street 4, 2100 Gödöllő, Hungary
| | - Josef Špak
- Czech Academy of Sciences, Biology Centre, Institute of Plant Molecular Biology, Branišovská 31, 37005 České Budějovice, Czech Republic
| | - Ondřej Lenz
- Czech Academy of Sciences, Biology Centre, Institute of Plant Molecular Biology, Branišovská 31, 37005 České Budějovice, Czech Republic
| | - Jana Fránová
- Czech Academy of Sciences, Biology Centre, Institute of Plant Molecular Biology, Branišovská 31, 37005 České Budějovice, Czech Republic
| | - Jiří Sedlák
- Research and Breeding Institute of Pomology Holovousy, Ltd., Holovousy 129, 50801 Holovousy, Czech Republic
| | - Igor Koloniuk
- Czech Academy of Sciences, Biology Centre, Institute of Plant Molecular Biology, Branišovská 31, 37005 České Budějovice, Czech Republic
- Correspondence: (E.V.); (I.K.)
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17
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Bester R, Steyn C, Breytenbach JHJ, de Bruyn R, Cook G, Maree HJ. Reproducibility and Sensitivity of High-Throughput Sequencing (HTS)-Based Detection of Citrus Tristeza Virus and Three Citrus Viroids. PLANTS 2022; 11:plants11151939. [PMID: 35893644 PMCID: PMC9330035 DOI: 10.3390/plants11151939] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/01/2022] [Accepted: 07/19/2022] [Indexed: 11/16/2022]
Abstract
The credibility of a pathogen detection assay is measured using specific parameters including repeatability, specificity, sensitivity, and reproducibility. The use of high-throughput sequencing (HTS) as a routine detection assay for viruses and viroids in citrus was previously evaluated and, in this study, the reproducibility and sensitivity of the HTS assay were assessed. To evaluate the reproducibility of HTS, the same plants assayed in a previous study were sampled again, one year later, and assessed in triplicate using the same analyses to construct the virome profile. The sensitivity of the HTS assay was compared to routinely used RT-PCR assays in a time course experiment, to compensate for natural pathogen accumulation in plants over time. The HTS pipeline applied in this study produced reproducible and comparable results to standard RT-PCR assays for the detection of CTV and three viroid species in citrus. Even though the limit of detection of HTS can be influenced by pathogen concentration, sample processing method and sequencing depth, detection with HTS was found to be either equivalent or more sensitive than RT-PCR in this study.
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Affiliation(s)
- Rachelle Bester
- Citrus Research International, P.O. Box 2201, Matieland 7602, South Africa;
- Department of Genetics, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;
| | - Chanel Steyn
- Citrus Research International, P.O. Box 28, Nelspruit 1200, South Africa; (C.S.); (J.H.J.B.); (G.C.)
- Department of Plant Pathology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa
| | | | - Rochelle de Bruyn
- Department of Genetics, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;
- Citrus Research International, P.O. Box 28, Nelspruit 1200, South Africa; (C.S.); (J.H.J.B.); (G.C.)
| | - Glynnis Cook
- Citrus Research International, P.O. Box 28, Nelspruit 1200, South Africa; (C.S.); (J.H.J.B.); (G.C.)
| | - Hans J. Maree
- Citrus Research International, P.O. Box 2201, Matieland 7602, South Africa;
- Department of Genetics, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;
- Correspondence: ; Tel.: +27-21-808-9579
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New-Generation Sequencing Technology in Diagnosis of Fungal Plant Pathogens: A Dream Comes True? J Fungi (Basel) 2022; 8:jof8070737. [PMID: 35887492 PMCID: PMC9320658 DOI: 10.3390/jof8070737] [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: 06/03/2022] [Revised: 07/01/2022] [Accepted: 07/11/2022] [Indexed: 02/01/2023] Open
Abstract
The fast and continued progress of high-throughput sequencing (HTS) and the drastic reduction of its costs have boosted new and unpredictable developments in the field of plant pathology. The cost of whole-genome sequencing, which, until few years ago, was prohibitive for many projects, is now so affordable that a new branch, phylogenomics, is being developed. Fungal taxonomy is being deeply influenced by genome comparison, too. It is now easier to discover new genes as potential targets for an accurate diagnosis of new or emerging pathogens, notably those of quarantine concern. Similarly, with the development of metabarcoding and metagenomics techniques, it is now possible to unravel complex diseases or answer crucial questions, such as "What's in my soil?", to a good approximation, including fungi, bacteria, nematodes, etc. The new technologies allow to redraw the approach for disease control strategies considering the pathogens within their environment and deciphering the complex interactions between microorganisms and the cultivated crops. This kind of analysis usually generates big data that need sophisticated bioinformatic tools (machine learning, artificial intelligence) for their management. Herein, examples of the use of new technologies for research in fungal diversity and diagnosis of some fungal pathogens are reported.
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Lelwala RV, LeBlanc Z, Gauthier MEA, Elliott CE, Constable FE, Murphy G, Tyle C, Dinsdale A, Whattam M, Pattemore J, Barrero RA. Implementation of GA-VirReport, a Web-Based Bioinformatics Toolkit for Post-Entry Quarantine Screening of Virus and Viroids in Plants. Viruses 2022; 14:v14071480. [PMID: 35891459 PMCID: PMC9317486 DOI: 10.3390/v14071480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 02/01/2023] Open
Abstract
High-throughput sequencing (HTS) of host plant small RNA (sRNA) is a popular approach for plant virus and viroid detection. The major bottlenecks for implementing this approach in routine virus screening of plants in quarantine include lack of computational resources and/or expertise in command-line environments and limited availability of curated plant virus and viroid databases. We developed: (1) virus and viroid report web-based bioinformatics workflows on Galaxy Australia called GA-VirReport and GA-VirReport-Stats for detecting viruses and viroids from host plant sRNA extracts and (2) a curated higher plant virus and viroid database (PVirDB). We implemented sRNA sequencing with unique dual indexing on a set of plants with known viruses. Sequencing data were analyzed using GA-VirReport and PVirDB to validate these resources. We detected all known viruses in this pilot study with no cross-sample contamination. We then conducted a large-scale diagnosis of 105 imported plants processed at the post-entry quarantine facility (PEQ), Australia. We detected various pathogens in 14 imported plants and discovered that de novo assembly using 21–22 nt sRNA fraction and the megablast algorithm yielded better sensitivity and specificity. This study reports the successful, large-scale implementation of HTS and a user-friendly bioinformatics workflow for virus and viroid screening of imported plants at the PEQ.
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Affiliation(s)
- Ruvini V. Lelwala
- eResearch, Research Infrastructure, Academic Division, Queensland University of Technology, Brisbane, QLD 4001, Australia; (R.V.L.); (Z.L.); (M.-E.A.G.)
- Science and Surveillance Group, Post Entry Quarantine, Department of Agriculture, Fisheries and Forestry, Mickleham, VIC 3064, Australia; (C.E.E.); (J.P.)
| | - Zacharie LeBlanc
- eResearch, Research Infrastructure, Academic Division, Queensland University of Technology, Brisbane, QLD 4001, Australia; (R.V.L.); (Z.L.); (M.-E.A.G.)
| | - Marie-Emilie A. Gauthier
- eResearch, Research Infrastructure, Academic Division, Queensland University of Technology, Brisbane, QLD 4001, Australia; (R.V.L.); (Z.L.); (M.-E.A.G.)
| | - Candace E. Elliott
- Science and Surveillance Group, Post Entry Quarantine, Department of Agriculture, Fisheries and Forestry, Mickleham, VIC 3064, Australia; (C.E.E.); (J.P.)
| | - Fiona E. Constable
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083, Australia;
| | - Greg Murphy
- Technology Infrastructure Branch, Information Services Division, Department of Agriculture, Fisheries and Forestry, Canberra, ACT 2601, Australia; (G.M.); (C.T.)
| | - Callum Tyle
- Technology Infrastructure Branch, Information Services Division, Department of Agriculture, Fisheries and Forestry, Canberra, ACT 2601, Australia; (G.M.); (C.T.)
| | - Adrian Dinsdale
- Plant Innovation Centre, Post Entry Quarantine, Department of Agriculture, Fisheries and Forestry, Mickleham, VIC 3064, Australia; (A.D.); (M.W.)
| | - Mark Whattam
- Plant Innovation Centre, Post Entry Quarantine, Department of Agriculture, Fisheries and Forestry, Mickleham, VIC 3064, Australia; (A.D.); (M.W.)
| | - Julie Pattemore
- Science and Surveillance Group, Post Entry Quarantine, Department of Agriculture, Fisheries and Forestry, Mickleham, VIC 3064, Australia; (C.E.E.); (J.P.)
| | - Roberto A. Barrero
- eResearch, Research Infrastructure, Academic Division, Queensland University of Technology, Brisbane, QLD 4001, Australia; (R.V.L.); (Z.L.); (M.-E.A.G.)
- Correspondence:
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Villamor DEV, Keller KE, Martin RR, Tzanetakis IE. Comparison of High Throughput Sequencing to Standard Protocols for Virus Detection in Berry Crops. PLANT DISEASE 2022; 106:518-525. [PMID: 34282931 DOI: 10.1094/pdis-05-21-0949-re] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
We completed a comprehensive study comparing virus detection between high throughput sequencing (HTS) and standard protocols in 30 berry selections (12 Fragaria, 10 Vaccinium, and eight Rubus) with known virus profiles. The study examined temporal detection of viruses at four sampling times encompassing two growing seasons. Within the standard protocols, reverse transcription (RT) PCR proved better than biological indexing. Detection of known viruses by HTS and RT-PCR nearly mirrored each other. HTS provided superior detection compared with RT-PCR on a wide spectrum of variants and discovery of novel viruses. More importantly, in most cases in which the two protocols showed parallel virus detection, 11 viruses in 16 selections were not consistently detected by both methods at all sampling points. Based on these data, we propose a testing requirement of four sampling times over two growing seasons for berry and potentially other crops, to ensure that no virus remains undetected independent of titer, distribution, or other virus-virus or virus-host interactions.
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Affiliation(s)
- D E V Villamor
- Department of Entomology and Plant Pathology, Division of Agriculture, University of Arkansas System, Fayetteville, AR 72701
| | - K E Keller
- U.S. Department of Agriculture Agricultural Research Service, Corvallis, OR 97330
| | - R R Martin
- U.S. Department of Agriculture Agricultural Research Service, Corvallis, OR 97330
| | - I E Tzanetakis
- Department of Entomology and Plant Pathology, Division of Agriculture, University of Arkansas System, Fayetteville, AR 72701
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HTS-Based Diagnostics of Sugarcane Viruses: Seasonal Variation and Its Implications for Accurate Detection. Viruses 2021; 13:v13081627. [PMID: 34452491 PMCID: PMC8402784 DOI: 10.3390/v13081627] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/09/2021] [Accepted: 08/13/2021] [Indexed: 01/26/2023] Open
Abstract
Rapid global germplasm trade has increased concern about the spread of plant pathogens and pests across borders that could become established, affecting agriculture and environment systems. Viral pathogens are of particular concern due to their difficulty to control once established. A comprehensive diagnostic platform that accurately detects both known and unknown virus species, as well as unreported variants, is playing a pivotal role across plant germplasm quarantine programs. Here we propose the addition of high-throughput sequencing (HTS) from total RNA to the routine quarantine diagnostic workflow of sugarcane viruses. We evaluated the impact of sequencing depth needed for the HTS-based identification of seven regulated sugarcane RNA/DNA viruses across two different growing seasons (spring and fall). Our HTS analysis revealed that viral normalized read counts (RPKM) was up to 23-times higher in spring than in the fall season for six out of the seven viruses. Random read subsampling analyses suggested that the minimum number of reads required for reliable detection of RNA viruses was 0.5 million, with a viral genome coverage of at least 92%. Using an HTS-based total RNA metagenomics approach, we identified all targeted viruses independent of the time of the year, highlighting that higher sequencing depth is needed for the identification of DNA viruses.
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Quality Assessment and Validation of High-Throughput Sequencing for Grapevine Virus Diagnostics. Viruses 2021; 13:v13061130. [PMID: 34208336 PMCID: PMC8231206 DOI: 10.3390/v13061130] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/07/2021] [Accepted: 06/10/2021] [Indexed: 12/11/2022] Open
Abstract
Development of High-Throughput Sequencing (HTS), also known as next generation sequencing, revolutionized diagnostic research of plant viruses. HTS outperforms bioassays and molecular diagnostic assays that are used to screen domestic and quarantine grapevine materials in data throughput, cost, scalability, and detection of novel and highly variant virus species. However, before HTS-based assays can be routinely used for plant virus diagnostics, performance specifications need to be developed and assessed. In this study, we selected 18 virus-infected grapevines as a test panel for measuring performance characteristics of an HTS-based diagnostic assay. Total nucleic acid (TNA) was extracted from petioles and dormant canes of individual samples and constructed libraries were run on Illumina NextSeq 500 instrument using a 75-bp single-end read platform. Sensitivity was 98% measured over 264 distinct virus and viroid infections with a false discovery rate (FDR) of approximately 1 in 5 positives. The results also showed that combining a spring petiole test with a fall cane test increased sensitivity to 100% for this TNA HTS assay. To evaluate extraction methodology, these results were compared to parallel dsRNA extractions. In addition, in a more detailed dilution study, the TNA HTS assay described here consistently performed well down to a dilution of 5%. In that range, sensitivity was 98% with a corresponding FDR of approximately 1 in 5. Repeatability and reproducibility were assessed at 99% and 93%, respectively. The protocol, criteria, and performance levels described here may help to standardize HTS for quality assurance and accreditation purposes in plant quarantine or certification programs.
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