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Citrus virus A (CiVA), a novel negative-sense single-stranded RNA virus assigned to the species Coguvirus eburi in the genus Coguvirus, was detected in South Africa with the use of high-throughput sequencing after its initial discovery in Italy. CiVA is closely related to citrus concave gum-associated virus (CCGaV), recently assigned to the species Citrus coguvirus. Disease association with CiVA is, however, incomplete. CiVA was detected in grapefruit (C. paradisi Macf.), sweet orange [C. sinensis (L.) Osb.], and clementine (C. reticulata Blanco) in South Africa, and a survey to determine the distribution, symptom association, and genetic diversity was conducted in three provinces and seven citrus production regions. The virus was detected in ‘Delta’ Valencia trees in six citrus production regions, and a fruit rind symptom was often observed on CiVA-positive trees. Additionally, grapefruit showing symptoms of citrus impietratura disease were positive for CiVA. This virus was primarily detected in older orchards that were established prior to the application of shoot tip grafting for virus elimination in the South African Citrus Improvement Scheme. The three viral-encoded genes of CiVA isolates from each cultivar and region were sequenced to investigate sequence diversity. Genetic differences were detected between the Delta Valencia, grapefruit, and clementine samples, with greater sequence variation observed with the nucleocapsid protein (NP) compared with the RNA-dependent RNA polymerase (RdRp) and the movement protein (MP). A real-time detection assay, targeting the RdRp, was developed to simultaneously detect citrus-infecting coguviruses, CiVA and CCGaV, using a dual priming reverse primer to improve PCR specificity.

Virus-like symptoms on fig tree leaves are a common occurrence worldwide and has mostly been attributed to fig mosaic disease (FMD). Even though only fig mosaic virus (FMV) has been shown to cause FMD, many other viruses have been identified in diseased fig trees. In 2021, total RNA was extracted from fig leaf samples displaying symptoms of mosaic and chlorotic mottling and was subjected to high-throughput sequencing (HTS) to construct the first virome profile of a South African fig tree. Bioinformatic analyses identified FMV, fig leaf mottle-associated virus 1 (FLMaV1), fig leaf mottle-associated virus 2 (FLMaV2), fig latent virus 1 (FLV1), fig badnavirus 1 (FBV1) and grapevine badnavirus 1 (GBV1) in the data. Reverse transcription polymerase chain reaction (RT-PCR) was conducted, for these viruses, on 24 additional fig leaf samples collected in the Western Cape. FBV1, GBV1, FMV, FLMaV1, FLV1, FLMaV2, and fig fleck-associated virus (FFkaV) were detected in 100%, 96%, 92%, 54%, 46%, 21%, and 12.5% of the samples, respectively. This is the first report on the presence of FMV, FLMaV2, FLV1, FFkaV, FBV1 and GBV1 in South Africa and offers a preliminary insight into the virus status of fig trees in the country.

It has been nearly 100 years since citrus growers in two distinct regions in the northern provinces of South Africa noticed unusual symptoms in their citrus trees, causing significant crop losses. They had no idea that these symptoms would later become part of an almost global pandemic of a disease called greening or huanglongbing (HLB). The rapid spread of the disease indicated that it might be caused by a transmissible pathogen, but it took >50 years to identify the causative agent as ‘Candidatus Liberibacter africanus’. Recently, the disease appeared in more African countries, spreading by both infected planting material and Trioza erytreae. To date, five ‘Ca. L. africanus’ subspecies have been identified in various rutaceous species, with ‘Ca. L. africanus subsp. clausenae’ the only subspecies for which a biovar was detected in citrus. Efforts to detect and differentiate HLB-causing Liberibacter species are ongoing, and recent developments are discussed here. This review focuses on aspects of the African form of HLB, including its specific bacterial species and subspecies, its main insect vector, its geographic distribution, and current management strategies.

Background Fruit flies (Diptera: Tephritidae) comprise species of agricultural and economic importance. Five such fruit fly species are known to affect commercial fruit production and export in South Africa: Ceratitis capitata, Ceratitis cosyra, Ceratitis rosa, Ceratitis quilicii, and Bactrocera dorsalis. Management practices for these pests include monitoring, application of pest control products, post-harvest disinfestation measures and inspection of consignments both prior to shipment and at ports of entry. In activities relating to monitoring and inspection, accurate identification of these pests to species level is required. While morphological keys for adult stages of these fruit fly species have been well developed, morphological keys for earlier life stages remain problematic. In instances where closely related species cannot be reliably distinguished morphologically, there is a need for molecular tools to assist in identifying these five fruit fly species during surveillance practices, where sequencing-based approaches would be beneficial. Results Two complete mitochondrial genomes were assembled for each fruit fly species investigated using high throughput sequencing data generated in this study. A single primer set was designed to amplify a region between tRNAile and tRNAmet. The amplicon consists of a partial segment of tRNAile, intergenic region I (tRNAile - tRNAgln), the complete sequence of tRNAgln, intergenic region II (tRNAgln - tRNAmet), and a partial segment of tRNAmet. PCR amplicons were generated for 20 specimens of each species, five of which were colony adult males, five colony larvae, and 10 wild, trap-collected specimens. Upon analysis of the amplicon, intergenic region I was identified as the most informative region, allowing for unambiguous identification of the five fruit fly species. The similarity in intergenic region II was too high between C. rosa and C. quilicii for accurate differentiation of these species. Conclusion The identity of all five fruit flies investigated in this study can be determined through sequence analysis of the mitochondrial intergenic regions. Within the target amplicon, intergenic region I (tRNAile - tRNAgln) shows interspecific variation sufficient for species differentiation based on multiple sequence alignment. The variation in the length of intergenic region I is proposed as a potential tool for accurately identifying these five fruit flies in South Africa.

High-throughput sequencing (HTS) technologies have the potential to become one of the most significant advances in molecular diagnostics. Their use by researchers to detect and characterize plant pathogens and pests has been growing steadily for more than a decade and they are now envisioned as a routine diagnostic test to be deployed by plant pest diagnostics laboratories. Nevertheless, HTS technologies and downstream bioinformatics analysis of the generated datasets represent a complex process including many steps whose reliability must be ensured. The aim of the present guidelines is to provide recommendations for researchers and diagnosticians aiming to reliably use HTS technologies to detect plant pathogens and pests. These guidelines are generic and do not depend on the sequencing technology or platform. They cover all the adoption processes of HTS technologies from test selection to test validation as well as their routine implementation. A special emphasis is given to key elements to be considered: undertaking a risk analysis, designing sample panels for validation, using proper controls, evaluating performance criteria, confirming and interpreting results. These guidelines cover any HTS test used for the detection and identification of any plant pest (viroid, virus, bacteria, phytoplasma, mycetes, nematodes, arthropods, plants) from any type of matrix. Overall, their adoption by diagnosticians and researchers should greatly improve the reliability of pathogens and pest diagnostics and foster the use of HTS technologies in plant health., Scientific publication adapted from the deliverable 2.2 of the Valitest project - www.valitest.eu

High-throughput sequencing (HTS) was used to construct the virome profile of an old grapevine-leafroll-diseased grapevine (Vitis vinifera). De novo assembly of HTS data showed a complex infection, including a virus sequence with similarity to viruses of the genus Badnavirus, family Caulimoviridae. The complete genome sequence of this virus consists of 7090 nucleotides and has four open reading frames (ORFs). Genome organisation and phylogenetic analysis identify this virus as a divergent variant of grapevine Roditis leaf discoloration-associated virus (GRLDaV) with 90% nucleotide sequence identity to isolate w4 (NC_027131). This is the first genome sequence of a South African variant of GRLDaV.

BackgroundHigh-throughput sequencing (HTS) has been applied successfully for virus and viroid discovery in many agricultural crops leading to the current drive to apply this technology in routine pathogen detection. The validation of HTS-based pathogen detection is therefore paramount.MethodsPlant infections were established by graft inoculating a suite of viruses and viroids from established sources for further study. Four plants (one healthy plant and three infected) were sampled in triplicate and total RNA was extracted using two different methods (CTAB extraction protocol and the Zymo Research Quick-RNA Plant Miniprep Kit) and sent for Illumina HTS. One replicate sample of each plant for each RNA extraction method was also sent for HTS on an Ion Torrent platform. The data were evaluated for biological and technical variation focussing on RNA extraction method, platform used and bioinformatic analysis.ResultsThe study evaluated the influence of different HTS protocols on the sensitivity, specificity and repeatability of HTS as a detection tool. Both extraction methods and sequencing platforms resulted in significant differences between the data sets. Using a de novo assembly approach, complemented with read mapping, the Illumina data allowed a greater proportion of the expected pathogen scaffolds to be inferred, and an accurate virome profile was constructed. The complete virome profile was also constructed using the Ion Torrent data but analyses showed that more sequencing depth is required to be comparative to the Illumina protocol and produce consistent results. The CTAB extraction protocol lowered the proportion of viroid sequences recovered with HTS, and the Zymo Research kit resulted in more variation in the read counts obtained per pathogen sequence. The expression profiles of reference genes were also investigated to assess the suitability of these genes as internal controls to allow for the comparison between samples across different protocols.ConclusionsThis study highlights the need to measure the level of variation that can arise from the different variables of an HTS protocol, from sample preparation to data analysis. HTS is more comprehensive than any assay previously used, but with the necessary validations and standard operating procedures, the implementation of HTS as part of routine pathogen screening practices is possible.

Determination of virus genomes and differentiation of strains and strain variants facilitate the linkage of biological expression to specific genetic units. For effective management of stem pitting disease of citrus tristeza virus (CTV) by cross-protection, an understanding of these links is necessary. The deliberate field application of a biological agent such as a virus first requires a thorough assessment of the long-term impact before it can be applied commercially. Three CTV sources were genetically characterized as different variants of the T68 strain, and their long-term effects on stem pitting and production were investigated. The different CTV sources were inoculated to ‘Star Ruby’ grapefruit trees and evaluated for a number of biological parameters in a field trial in the Limpopo Province of South Africa over a 10-year period. Significant differences were observed in stem pitting severity, impact on tree growth, yield, and the percentage of small fruit produced. These T68 variants were also associated with different stem pitting phenotypes. The variants differed in only 44 nucleotide positions across their genomes, and these minor genetic differences can therefore be used to identify possible genome regions affecting stem pitting.

Ornithogalum thyrsoides, a widely cultivated bulbous ornamental plant endemic to South Africa, has significant commercial value as a pot plant and for the production of cut flowers. However, infection by viruses threatens the success of commercial cultivation, as symptoms negatively affect the appearance of the plant and flowers. To date, four Ornithogalum-infecting viruses have been reported. Complete genome sequence data are available for three of these viruses, but the genome of the potyvirus ornithogalum virus 3 (OV3) has not been fully sequenced. In this study, the complete sequence of OV3 was determined by high-throughput sequencing (HTS) and validated by Sanger sequencing. Based on recognition of protease cleavage patterns and multiple sequence alignments with closely related viruses, the polyprotein of OV3 was predicted to be proteolytically cleaved to produce 10 mature peptides containing domains conserved in members of the genus Potyvirus. Phylogenetic analysis and species demarcation criteria confirm the previous classification of OV3 as a member of a separate species in this genus. This is the first report of a complete genome sequence of OV3.

Two isolates of the T68 genotype of citrus tristeza virus (CTV) were derived from a common source, GFMS12, by single aphid transmission. These isolates, named GFMS12-8 and GFMS12-1.3, induced stem pitting with differing severity in ‘Duncan’ grapefruit (Citrus × paradisi [Macfad.]). Full-genome sequencing of these isolates showed only minor nucleotide sequence differences totaling 45 polymorphisms. Numerous nucleotide changes, in relatively close proximity, were detected in the p33 open reading frame (ORF) and the leader protease domains of ORF1a. This is the first report of full-genome characterization of CTV isolates of a single genotype, derived from the same source, but showing differences in pathogenicity. The results demonstrate the development of intragenotype heterogeneity known to occur with single-stranded RNA viruses. Identification of genetic variability between isolates showing different pathogenicity will enable interrogation of specific genome regions for potential stem pitting determinants.

Over the past 2 decades, fruit symptoms resembling a marbling pattern on the fruit skin or corking of the fruit flesh were observed on Japanese plums in South Africa, resulting in unmarketable fruit. The ability of high-throughput sequencing (HTS) to detect known and unknown pathogens was exploited by assaying affected and unaffected fruit tree accessions to identify the potential aetiological agent of marbling and/or corky flesh disease. In this study, it is shown that the disease is associated with a previously undescribed small RNA with typical viroid structural features. The potential viroid was the only pathological agent consistently detected in all symptomatic trees by HTS, and the association with the symptoms was confirmed in field surveys over two seasons. To date, this RNA was not detectable by RT-PCR in seedlings raised from seeds collected from infected trees. Although the autonomous replication of this viroid-like RNA was not proven, it was shown to be transmissible by grafting and associated with a range of symptoms that include marbling on the fruit skin, corky flesh, reduced fruit size, irregular shape, and uneven fruit surface depending on the cultivar. Moreover, the circular RNA genome, consisting of 317 nucleotides, strongly supports that this viroid-like RNA is most likely a viroid for which the name plum viroid I (PVd-I) is proposed. The primary structure of this viroid showed a less than 90% nucleotide sequence identity to viroids of the genus Apscaviroid, with which it has close phylogenetic relationships and shares conserved structural motifs.

It has been nearly 100 years since citrus growers in two distinct regions in the northern provinces of South Africa noticed unusual symptoms in their citrus trees, causing significant crop losses. They had no idea that these symptoms would later become part of an almost global pandemic of a disease called greening or huanglongbing (HLB). The rapid spread of the disease indicated that it might be caused by a transmissible pathogen, but it took50 years to identify the causative agent as '

Ornithogalum thyrsoides, commonly known as chincherinchee, is an indigenous ornamental plant widely cultivated in South Africa. It is commercially valued as a flowering pot plant and for the production of cut flowers. Virus infections resulting in the development of severe necrotic mosaic symptoms threaten the success of commercial cultivation. The virome of an O. thyrsoides plant displaying necrotic mosaic symptoms was determined using high-throughput sequencing (HTS). In this plant, ornithogalum mosaic virus and ornithogalum virus 3 were identified, as well as a previously unknown virus. The full genome sequence of this virus was confirmed by Sanger sequencing using overlapping amplicons combined with rapid amplification of cDNA ends (RACE). Based on genome organisation and phylogenetic analysis, this novel virus can be classified as a polerovirus.

Author(s): Aldrich, Dirk Jacobus; Bester, Rachelle; Cook, Glynnis; du Plessis, Anton; Burger, Johan Theodorus; Maree, Hans Jacob | Abstract: Citrus tristeza virus (CTV) is the most important viral pathogen of citrus. CTV-induced stem pitting negatively impacts grapefruit and sweet orange production. The mechanisms of stem pitting development in CTV-infected citrus remain unclear. This study evaluated the utility of high-resolution CT scanning as a tool to study stem pitting in live citrus material. CT scans were used to easily identify pits based on differences in tissue density. Stem pits were also mapped and modelled three-dimensionally along the length of the stem. Nano-CT scanning proved to be a potentially valuable, non-destructive method for stem pitting characterization in citrus.

Apple rubbery wood virus 2 (ARWV-2; Rott et al., 2018) belong to the species Apple rubodvirus 2, a member of the genus Rubodvirus (family Phenuiviridae; Kuhn et al 2020). ARWV-2 was first identified in apples and is associated with apple rubbery wood disease (ARWD) that is characterized by unusual flexibility of stems and branches, reduced growth, shortened internodes and increased cold sensitivity (Jakovljevic et al., 2017, Rott et al., 2018). ARWD was first reported in 1935 in England on apple and has since been found on quince and pear (Jakovljevic et al., 2017; Rott et al., 2018). In January 2021, leaves were collected from a pear tree (Pyrus communis cv. Forelle, F514) in a commercial orchard near Villiersdorp, South Africa. The tree displayed no foliar or tree branch symptoms, except for malformed fruits potentially due to insect feeding damage or pear stony pit disease previously associated with infection of apple stem pitting virus (ASPV) (Paunovic et al. 1999). Leaf petioles (one gram) were used for total RNA extraction, using a modified CTAB extraction protocol (Ruiz-Garcia et al. 2019). A sequencing library was constructed (Illumina TruSeq Stranded Total RNA with plant Ribo-Zero) and sequenced on an Illumina HiseqX instrument (Macrogen, South Korea). A total of 30,709,182 paired-end reads (100 nt) were obtained and trimmed for quality with Trimmomatic (SLIDINGWINDOW:3:20, MINLEN:20) (Bolger et al. 2014). De novo assembly, using default parameters of CLC Genomics Workbench 11.0.1 (Qiagen), resulted in 97,294 contigs. BLASTn analysis identified 17 viral contigs, with 14 contigs having high nucleotide identity to ASPV and three to ARWV-2. The latter contigs included all three segments of ARWV-2. The L contig was 7371 nts, M was 1289 nts and S was 1463 nts in length, generated with 7341, 626 and 9161 reads for segment L, M and S, respectively. Segment S had the highest read coverage (524.87x), followed by segment L (88.07x) and M (36.60x). The ARWV-2 GenBank accessions with the highest percentage identity to the contigs were MF062128.1 from United States of America (98.2% to segment L), MN163134.1 from China (97.5% to segment M) and NC_055535.1 from Germany (93.5% to segment S). The contigs spanned 100%, 80.92% and 100% of these accessions of segments L, M and S, respectively and were deposited in GenBank as accessions MZ593725- MZ593727. Reverse transcription polymerase chain reaction (RT-PCR) was used to validate the presence of ARWV-2 in sample F514, using primers directed at segments L (con708_178F/con708_666R), M (ARWaV-2S1_38F/ARWaV-2S1_682R) and S (ARWaV-2M567F/ARWaV-2M1342R) (Rott et al., 2018). Amplicon sequences (510 bp (L), 645 bp (M) and 799 bp (S)) were confirmed with bi-directional Sanger sequencing. Fifty-nine additional pear samples were surveyed in 2021 for ARWV-2 using the M segment assay as mentioned above. The survey included the Koue Bokkeveld and Elgin areas, and cultivars Bosc (22 samples), Abate (10 samples), Rosemarie (3 samples), Forelle (9 samples), Packham's Triumph (12 samples) and Early Bon Chretien (3 samples). A total of 27 samples (11 samples from the Koue Bokkeveld region and 16 samples from the Elgin region) tested positive for ARWV-2, demonstrating the common presence of this virus in pears in South Africa. This is the first report of ARWV-2 infecting pear in South Africa. Although no association with disease symptoms were observed, this study expands the data on the incidence and distribution of this virus in South Africa.

Huanglongbing (HLB, Asian Citrus Greening), the most devastating disease of citrus has not been detected in southern Africa (Gottwald, 2010). HLB is associated with 'Candidatus Liberibacter asiaticus' (CLas), a phloem-limited bacterium vectored by Diaphorina citri Kuwayama (Hemiptera: Liviidae), the Asian Citrus Psyllid (ACP). African Citrus Greening, associated with 'Candidatus Liberibacter africanus' (CLaf) and its vector the African Citrus Triozid, Trioza erytreae (Del Guercio) (Hemiptera: Triozidae), are endemic to Africa, although not previously reported from Angola. African Greening is less severe than HLB, largely due to heat sensitivity of CLaf and its vector. Introduction of HLB into southern Africa would be devastating to citrus production in commercial and informal sectors. Concern was raised that CLas or ACP might hae inadvertently been introduced into Angola. In July 2019, a survey was conducted in two citrus nurseries in Luanda and Caxito and in different orchards on 7 farms surrounding Calulo and Quibala. Yellow sticky traps for insects were placed at the various localities and collected after c. 3 weeks. Breeding signs of T. erytreae (pit galls) were observed on citrus in some locations, but no insect vectors were detected on traps. Trees were inspected for signs and symptoms of citrus pests and diseases, particularly those that resemble HLB (foliar blotchy mottle, shoot chlorosis, vein yellowing and corking, lopsided fruit with aborted seeds and colour inversion) and its vectors (pit galls on leaves or waxy exudates). Leaves and shoots with suspect symptoms were sampled for laboratory analysis (43 samples). DNA was extracted from petiole and midrib tissue of leaves using a modified CTAB extraction protocol of Doyle and Doyle (1990). Real-time PCR was done using universal Liberibacter primers of Roberts et al. (2015), CLaf specific primers of Li et al. (2006) and CLas specific primers of Bao et al. (2019). All real-time PCR protocols indicated the presence of CLaf in 6 samples (Tab. S1). CLas or other citrus Liberibacter species were not detected. The presence of CLaf in sample 37 was confirmed by constructing a library (NEXTFLEX® DNA Sequencing Kit, PerkinElmer) with extracted DNA and performing high-throughput sequencing on an Ion Torrent™ S5™ platform (Central Analytical Facility, Stellenbosch University). To improve the quality of the reads, all 233,617,700 obtained reads were trimmed from the 3' end to a maximum length of 240 nt using Trimmomatic (Bolger et al. 2014). The high quality reads were mapped to the Citrus sinensis reference genome (NC_023046.1) using Bowtie 2.3.4 (Langmead and Salzberg 2012) to subtract all the reads that had high identity to the host plant (number of mismatches allowed in the seed was set to 1). The 14,691,369 unmapped reads (6.2% of original data) were mapped to the CLaf reference genome NZ_CP004021.1 using CLC Genomics Workbench 10.1.1 (Qiagen) (Length fraction = 0.8; Similarity fraction = 0.9). A CLaf consensus genome was generated that spanned 99.7% of the reference genome and the 163001 mapped reads had a 22.9 mean read coverage. The consensus sequence was 99.7% identical to NZ_CP004021.1 and was submitted to Genbank as accession: CP054879. The positive CLaf detections were from trees with typical HLB or African Citrus Greening symptoms, viz. lopsided fruit with green stylar ends, aborted seed and stained columella at base of fruit button; yellow shoots with leaves showing symptoms of blotchy mottle and vein yellowing and corking (Fig. S1) in a commercial citrus farm outside Calulo and included 2 'Ponkan' mandarin (C. reticulata), 2 Valencia and 1 'Navelina' tree (C. sinensis), and a citrus nursery in Luanda (1 lime tree; C. aurantifolia) (Tab. S1). This first report of CLaf in Angola highlights the need to prevent spread by removing infected trees and managing the insect vector, as well as the need for further surveys to determine the occurrence of African Greening and its vectors in other provinces and to confirm the absence of exotic citrus pests and diseases. References Bao, M. et al. 2020. Plant Dis. 104:527 Bolger, A. M. et al. 2014. Bioinformatics. 30:2114-2120. Doyle, J.J. and Doyle, J.L. 1990. Focus 12:13 Gottwald, T.R. 2010. Annu. Rev. Phytopathol. 48:119 Langmead, B. and Salzberg, S. 2012. Nature Methods. 9:357-359. Li, W. et al. 2006. Jnl. Microbiol. Methods 66:104 Roberts, R. et al. 2015. Int. J. Syst. Evol. Micr. 65:723.

High-throughput sequencing (HTS) was used to construct the virome profile of an old grapevine-leafroll-diseased grapevine (Vitis vinifera). De novo assembly of HTS data showed a complex infection, including a virus sequence with similarity to viruses of the genus Badnavirus, family Caulimoviridae. The complete genome sequence of this virus consists of 7090 nucleotides and has four open reading frames (ORFs). Genome organisation and phylogenetic analysis identify this virus as a divergent variant of grapevine Roditis leaf discoloration-associated virus (GRLDaV) with 90% nucleotide sequence identity to isolate w4 (NC_027131). This is the first genome sequence of a South African variant of GRLDaV.

Viruses in the family Closteroviridae have a mono-, bi- or tripartite positive-sense RNA genome of 13–19 kb, and non-enveloped, filamentous particles 650–2200 nm long and 12 nm in diameter. They infect plants, mainly dicots, many of which are fruit crops. This is a summary of the ICTV Report on the family Closteroviridae, which is available at ictv.global/report/closteroviridae.

High-throughput sequencing (HTS) was used to investigate ringspots on ivy (Hedera helix) leaves. De novo assembly of HTS data generated from a total RNA extract from these leaves yielded a contig with sequence similarity to viruses of the genus Badnavirus, family Caulimoviridae. The complete genome sequence of this virus consists of 8,885 nucleotides and has three open reading frames (ORFs). Genome organisation and phylogenetic analysis identifies this newly identified virus as a new member of the genus Badnavirus for which we propose the name "ivy ringspot-associated virus" (IRSaV).

UMR BFP - Equipe Virologie; International audience; Since the establishment of the genus Vitivirus, several additional viruses have been sequenced and proposed to represent new species of this genus. Currently, the International Committee on Taxonomy of Viruses recognizes 15 vitivirus species. The report of new vitiviruses that fail to completely adhere to the species demarcation criteria, the incorporation of non-vitivirus grapevine viruses in the unofficial "naming system", and the existence of non-grapevine vitiviruses lead to inconsistencies in classification. In this report, we give a brief overview of vitiviruses and use currently available information to clarify the present status of the vitivirus taxonomy.

Coguvirus eburi is a member of the genus Coguvirus in the family Phenuviridae (Khun et al., 2020). The species Coguvirus eburi was established to include citrus virus A (CiVA), which is a negative-sense, single-stranded RNA virus that was first found infecting sweet orange in southern Italy via high-throughput sequencing (HTS) (Navarro et al., 2018). This virus was also found to infect pome fruits in France, such as pear (Svanella-Dumas et al., 2019). More recently CiVA infections have been associated with impietratura disease in citrus (Beris et al. 2021). In the summer of 2021, leaf samples were collected from a pear tree (Pyrus communis cv. Bosc, B175) in the Koue Bokkeveld, South Africa as part of a virus survey. Sample B175 displayed no visual disease symptoms. One gram of leaf petioles was used for total RNA extraction, using a modified CTAB extraction protocol (Ruiz-Garcia et al. 2019). Ribo-depleted RNA was prepared (Ribo-Zero Plant kit) and a sequencing library constructed (Illumina TruSeq Stranded Total RNA). The RNA library was paired-end (2 × 100 bp) sequenced on an Illumina HiSeqX instrument (Macrogen, South Korea). A total of 47,750,152 reads were obtained. Raw data was trimmed for quality with Trimmomatic (SLIDINGWINDOW:3:20, MINLEN:20) (Bolger et al. 2014). De novo assembly performed with CLC Genomics Workbench 11.0.1 (Qiagen) (Default parameters) using high quality reads yielded 75250 contigs. BLASTn analysis identified two viral contigs with high nucleotide (nt) identity to apple stem pitting virus (ASPV) and CiVA. The CiVA contig was 9400 nts and on closer examination, a concatemer of CiVA RNA1 and RNA2. The concatenation occurred due to the characteristic near-identical nucleotides shared at the 5' and 3' ends of RNA1 and RNA2 of these negative-stranded RNA viruses (Navarro et al., 2018). After splitting and curation, the RNA1 contig was 6664 nts and the RNA2 contig 2686 nts. A total of 51397 and 34820 reads were used to construct these contigs resulting in an average depth of coverage of 761 and 1281 for RNA1 and RNA2, respectively. The contigs had the highest nt identity to the complete CiVA GenBank accessions MT720885.1 (95.53%) and MW148460.1 (96.03%), spanning 99.6% and 98.1 % of the genomes of RNA1 and RNA2, respectively. These contigs were submitted as partial genomes to GenBank as accessions MZ463039 and MZ463040. Reverse transcription polymerase chain reaction (RT-PCR) was used to validate the presence of CiVA in sample B175. Two RT-PCR assays, directed at RNA1 and RNA2 respectively (Bester et al. (2021)) were used to generate amplicons. Amplicon sequences were confirmed with bi-directional Sanger sequencing. Twenty-one additional samples from the same orchard as B175 as well as other samples from the Koue Bokkeveld and Elgin areas, including cultivars Abate (10 samples), Forelle (10 samples), Early Bon Chretien (3 samples), Packham's Triumph (12 samples) and Rosemarie (3 samples), were all surveyed for CiVA using the same RT-PCR assays as mentioned above. Thirty-six of the 59 samples tested were positive for CiVA, which further confirms the presence and wide-spread distribution of this virus in the limited survey conducted in pears in South Africa. However, no association with any disease symptoms or specific cultivar were identified. This is the first report of CiVA infecting pear in South Africa. This study therefore contributed to investigating the distribution of this virus and will assist the South African plant material certification scheme to assess the incidence of CiVA in South Africa.

The molecular interactions between grapevine leafroll-associated virus 3 (GLRaV-3) and three grapevine cultivars were characterised by identifying small RNAs and genes with differential expression between healthy and infected grapevine using next-generation sequencing and RT-qPCR assays. Cultivar specificity was identified in the sRNA and gene expression analyses, and both approaches identified Chenin blanc-specific responses providing the first insight into the differential symptom expression observed between cultivars. Differentially expressed genes identified in all three cultivars, provide a potential pool of genes displaying a molecular response to GLRaV-3 infection, contributing to the characterisation of this virus-plant interaction.

The economic importance of the grapevine industry creates the need for the generation of genomic resources to ensure the sustainability of the industry. These resources will extend the knowledge of grapevine physiology, cultivar-specific characteristics and understanding how diseases and environmental conditions affect the plant. Small non-coding RNAs (sRNAs) are regulator molecules that can influence normal development and/or responses to environmental stimuli. In this study, next-generation sequencing (NGS) and bioinformatic analyses were used to identify sRNA species in grapevine phloem tissue. Forty-five novel mature Vitis vinifera miRNAs were identified and the presence of ten was validated using stemloop RT-qPCRs. Both non-coding and protein-coding gene regions were identified as putative phased loci of which the majority of the protein-coding gene loci were identified as disease resistance proteins. Potential phase-initiating miRNAs were also identified. A high number of sRNAs originating from repeat sequences were identified in all cultivar groups. This study also confirmed the non-random manner in which tRNA-derived sRNAs originate. The number of tRNA halves identified in Chenin blanc was lower compared to the other cultivar groups investigated. The identification of these different sRNAs extends the grapevine sRNA knowledge base significantly and can contribute to the unravelling of sRNA regulation in plants, potentially creating tools for grapevine functional studies.

MicroRNAs (miRNAs) are a class of endogenous small non-coding RNAs (sRNA) that play an essential role in the regulation of target mRNAs expressed during plant development and in response to stress. MicroRNA expression profiling has helped to identify miRNAs that regulate a range of processes, including the plant's defence response to pathogens. In this study, differential miRNA expression in own-rooted Vitis vinifera cv. Cabernet Sauvignon plants infected with grapevine leafroll-associated virus 3 was investigated with microarrays and next-generation sequencing (NGS) of sRNA and mRNA. These high-throughput approaches identified several differentially expressed miRNAs. Four miRNAs, identified by both approaches, were validated by stemloop RT-PCRs. Three of the predicted targets of the differentially expressed miRNAs were also differentially expressed in the transcriptome data of infected plants, and were validated by RT-qPCR. Identification of these miRNAs and their targets can lead to a better understanding of host-pathogen interactions involved in grapevine leafroll disease and the identification of possible targets for virus resistance.

Here, we report the draft genome sequence of a phytoplasma discovered in grapevine. The genome size is 600,116 nucleotides (nt), with 597 predicted open reading frames. It is most similar to a maize bushy stunt phytoplasma of group 16SrI-B (aster yellows). The possible presence of a 3,833-nt plasmid was also noted.

Here, we report the draft genome sequence of a phytoplasma discovered in grapevine. The genome size is 600,116 nucleotides (nt), with 597 predicted open reading frames. It is most similar to a maize bushy stunt phytoplasma of group 16SrI-B (aster yellows). The possible presence of a 3,833-nt plasmid was also noted.

Citrus tristeza virus (CTV) is endemic to southern Africa and the stem pitting syndrome that it causes was a limiting factor in grapefruit production prior to the introduction of cross-protection in the Citrus Improvement Scheme. This disease mitigation strategy, using various field-derived CTV sources, has significantly extended the productive lifespan of grapefruit orchards in South Africa. CTV commonly occurs as a population of various strains, masking the phenotypic effect of individual strains. Likewise, current South African CTV cross-protection sources are strain mixtures, obscuring an understanding of which strains are influencing cross-protection. The severity of various CTV strains has mostly been assessed on sensitive indicator hosts, but their effect on commercial varieties has seldom been investigated. Single-variant CTV isolates were used to investigate the phenotypic expression of CTV strains in commercial grapefruit varieties as well as CTV indicator hosts. They were biologically characterized for their ability to cause stem pitting and their rate of translocation and titer in the different hosts, monitored by enzyme-linked immunosorbent assay. Complete genome sequences for three CTV strain variants were generated. Isolates of CTV strains VT, T68, RB, and HA16-5 did not induce severe stem pitting in four grapefruit hosts in a glasshouse trial. Viral titers of the strains differed in the grapefruit hosts, but the RB isolate reached a higher titer in the grapefruit hosts compared with the VT, T68, and HA16-5 isolates. Additionally, horticultural assessment of two grapefruit varieties inoculated with the RB isolate in two field trials demonstrated that mild stem pitting did not negatively influence the horticultural performance of the grapefruit trees over an eight-year assessment period. ‘Star Ruby’ trees containing the CTV source GFMS35 showed less stem pitting than trees inoculated with the RB isolate, but had smaller canopy volumes and lower yields than trees containing the RB isolate. This suggests that the influence of CTV sources on tree performance is not limited to the effect of stem pitting.

High-throughput sequencing (HTS) is a powerful tool employed by plant virologists for the detection of viruses, the characterization of virus genomes and the study of host-pathogen interactions. Virus detection has been an important application of this technology, which has resulted in the discovery of novel viruses or viral strains as well as for the detection of known viruses in a plant sample. Here we describe the entire process that needs to be considered for the genome analysis of Citrus tristeza virus (CTV) by HTS, including the experimental design, sample preparation, nucleic acid purification, HTS library construction, and bioinformatic analysis.

The use of next-generation sequencing for plant virus detection is rapidly expanding, necessitating the development of bioinformatic pipelines to support analysis of these large datasets. Pipelines need to be easy implementable to mitigate potential insufficient computational infrastructure and/or skills. In this study user-friendly software was developed for the targeted detection of plant viruses based on e-probes. It can be used for both custom e-probe design, as well as screening preloaded probes against raw NGS data for virus detection. The pipeline was compared to de novo assembly-based virus detection in grapevine and produced comparable results, requiring less time and computational resources. The software, named Truffle, is available for the design and screening of e-probes tailored for user-specific virus species and data, along with preloaded probe-sets for grapevine virus detection.

Transcriptomic analysis indicates that the bacterial signalling molecule lumichrome enhances plant growth through a combination of enhanced cell division and cell enlargement, and possibly enhances photosynthesis. Lumichrome (7,8 dimethylalloxazine), a novel multitrophic signal molecule produced by Sinorhizobium meliloti bacteria, has previously been shown to elicit growth promotion in different plant species (Phillips et al. in Proc Natl Acad Sci USA 96:12275–12280, https://doi.org/10.1073/pnas.96.22.12275 , 1999). However, the molecular mechanisms that underlie this plant growth promotion remain obscure. Global transcript profiling using RNA-seq suggests that lumichrome enhances growth by inducing genes impacting on turgor driven growth and mitotic cell cycle that ensures the integration of cell division and expansion of developing leaves. The abundance of XTH9 and XPA4 transcripts was attributed to improved mediation of cell-wall loosening to allow turgor-driven cell enlargement. Mitotic CYCD3.3, CYCA1.1, SP1L3, RSW7 and PDF1 transcripts were increased in lumichrome-treated Arabidopsis thaliana plants, suggesting enhanced growth was underpinned by increased cell differentiation and expansion with a consequential increase in biomass. Synergistic ethylene–auxin cross-talk was also observed through reciprocal over-expression of ACO1 and SAUR54, in which ethylene activates the auxin signalling pathway and regulates Arabidopsis growth by both stimulating auxin biosynthesis and modulating the auxin transport machinery to the leaves. Decreased transcription of jasmonate biosynthesis and responsive-related transcripts (LOX2; LOX3; LOX6; JAL34; JR1) might contribute towards suppression of the negative effects of methyl jasmonate (MeJa) such as chlorophyll loss and decreases in RuBisCO and photosynthesis. This work contributes towards a deeper understanding of how lumichrome enhances plant growth and development.

UMR BFP - Equipe Virologie; International audience; High-throughput sequencing (HTS) technologies have revolutionized plant pest research and are now raising interest for plant pest diagnostics, with plant virus diagnostics at the forefront of development. However, the application of HTS in plant pest diagnostics raisesimportant challenges that plant health regulators will have to address. Adapted infrastructures, technical guidelines and training are pivotal for further use and adoption of the HTS technologies in the phytosanitary framework.

Genotypic characterization of Citrus tristeza virus (CTV) strains has progressed significantly, but their phenotypic expression is poorly established as CTV naturally occurs as mixed-strain populations. A screening system for the analysis of mixed-strain populations is required for population studies and the correlation with symptom expression. In this study, a published CTV strain-specific detection assay was expanded and improved to facilitate detection of currently known CTV strains. Supplementary RT-PCR assays were developed for two variant groups of the RB strain and the HA16-5 strain, and assays for the T36 strain and generic CTV detection were improved. The value of the strain-specific assays was shown by the ability to identify the strain components of two CTV cross-protecting sources, GFMS35 and LMS6, used in the South African budwood certification scheme and to demonstrate the segregation of strains in budwood source trees.

Grapevine leafroll is the most complex and intriguing viral disease of grapevine (Vitis spp.). Several monopartite closteroviruses (family Closteroviridae) from grapevines have been molecularly characterized, yet their role in disease etiology is not completely resolved. Hence, these viruses are currently designated under the umbrella term of Grapevine leafroll–associated viruses (GLRaVs). This review examines our current understanding of the genetically divergent GLRaVs and highlights the emerging picture of several unique aspects of the leafroll disease pathosystem. A systems biology approach using contemporary technologies in molecular biology, -omics, and cell biology aids in exploring the comparative molecular biology of GLRaVs and deciphering the complex network of host-virus-vector interactions to bridge the gap between genomics and phenomics of leafroll disease. In addition, grapevine-infecting closteroviruses have a great potential as designer viruses to pursue functional genomics and for the rational design of novel disease intervention strategies in this agriculturally important perennial fruit crop.

A survey of viruses affecting grapevine in the wine regions of the Western Cape Province in South Africa was conducted. The survey determined the relative abundance of five different Grapevine leafroll-associated virus 3 (GLRaV-3) variants. Virus profiles were also determined for individual vines. A total of 315 plants were sampled and analysed over two growing seasons. Five GLRaV-3 variants were detected as either single or mixed infections, with GLRaV-3 variant groups II and VI being the most prominent as single infections and in combinations with each other and other variants. An analysis of the distribution of variants per region showed that single infections of variant groups II and VI occurred predominantly in certain regions, and were equally distributed in the red and white cultivars studied. The distribution of a recently identified, unclassified variant of GLRaV-3 (represented by isolates GH24 and GTG10) was included in the study. The overall analysis showed that infection with variant groups II and VI were the most abundant among the samples with 49.8 and 47.6 %, respectively, followed by variant group I, variants similar to isolate GH24 and variant group III with 16.2, 13.3 and 2.5 % infection, respectively. Mixed infections, representing 36 virus combinations, were found in 251 plants. The most abundant virus combination was GLRaV-3 with Grapevine virus E (GVE), found in 28 % of the plants. GLRaV-3 was the predominant virus detected in the samples with a frequency of 80 % detection, followed by GVE (57.4 %), Grapevine rupestris stem pitting-associated virus (GRSPaV) (36.8 %), Grapevine virus A (GVA) (19.3 %), Grapevine virus F (GVF) (16.25 %), Grapevine leafroll-associated virus 2 (GLRaV-2) (8.25 %), Grapevine leafroll-associated virus 1 (GLRaV-1) (1.58 % infection) and Grapevine leafroll-associated virus 4 (GLRaV-4 like) (0.6 %). Most of the plants tested were infected with multiple viruses. The complexity of virus populations detected in this study, highlights the need for detection methods able to identify all viruses and their variants in vineyards. The information generated in this study will assist in the development of reliable detection assays that will benefit the monitoring of disease spread and aid in the efficient management of Grapevine leafroll disease (GLD).

Accurate detection and quantitation of viruses can be beneficial to plant-virus interaction studies. In this study, three SYBR green real-time RT-PCR assays were developed to quantitate grapevine leafroll-associated virus 3 (GLRaV-3) in infected vines. Three genomic regions (ORF1a, coat protein and 3'UTR) were targeted to quantitate GLRaV-3 relative to three stably expressed reference genes (actin, GAPDH and α-tubulin). These assays were able to detect all known variant groups of GLRaV-3, including the divergent group VI, with equal efficiency. No link could be established between the concentration ratios of the different genomic regions and subgenomic RNA (sgRNA) expression. However, a significant lower virus concentration ratio for plants infected with variant group VI compared to variant group II was observed for the ORF1a, coat protein and the 3'UTR. Significant higher accumulation of the virus in the growth tip was also detected for both variant groups. The quantitation of viral genomic regions under different conditions can contribute to elucidating disease aetiology and enhance knowledge about virus ecology.

The impact of recombination on variant classification and the use of different genomic regions to identify virus variants were investigated using a diversity study performed on grapevine rupestris stem pitting-associated virus (GRSPaV). Three surveys were conducted to investigate the genetic diversity of GRSPaV and to compare the ability of the GRSPaV coat protein and replicase domains to classify virus variants. GRSPaV variants identified in the surveys clustered into five of the six currently recognised lineages, and a seventh, previously unclassified lineage was detected. A correlation was observed between the detection of recombinant GRSPaV sequences and inconsistencies in classification when using different genome regions for analysis.

Background Small RNA (sRNA) associated gene regulation has been shown to play a significant role during plant-pathogen interaction. In commercial citrus orchards co-infection of Citrus tristeza virus (CTV) and viroids occur naturally. Methods A next-generation sequencing-based approach was used to study the sRNA and transcriptional response in grapefruit to the co-infection of CTV and Citrus dwarfing viroid. Results The co-infection resulted in a difference in the expression of a number of sRNA species when comparing healthy and infected plants; the majority of these were derived from transcripts processed in a phased manner. Several RNA transcripts were also differentially expressed, including transcripts derived from two genes, predicted to be under the regulation of sRNAs. These genes are involved in plant hormone systems; one in the abscisic acid, and the other in the cytokinin regulatory pathway. Additional analysis of virus- and viroid-derived small-interfering RNAs (siRNAs) showed areas on the pathogen genomes associated with increased siRNA synthesis. Most interestingly, the starting position of the p23 silencing suppressor’s sub-genomic RNA generated a siRNA hotspot on the CTV genome. Conclusions This study showed the involvement of various genes, as well as endogenous and exogenous RNA-derived sRNA species in the plant-defence response. The results highlighted the role of sRNA-directed plant hormone regulation during biotic stress, as well as a counter-response of plants to virus suppressors of RNA-silencing. Electronic supplementary material The online version of this article (10.1186/s12985-017-0871-9) contains supplementary material, which is available to authorized users.

The conservation of plant biosecurity relies on the rapid identification of pathogenic organisms, including viruses. With next-generation sequencing (NGS), it is possible to identify multiple viruses within a metagenomic sample. In this study, we explored the use of electronic probes (e-probes) for the simultaneous detection of 11 recognized citrus viruses. E-probes were designed and screened against raw sequencing data to minimize the bioinformatic processing time required. The e-probes were able to accurately detect their cognate viruses in simulated datasets, without any false negatives or positives. The efficiency of the e-probe-based approach was validated with NGS datasets generated from different RNA preparations: double-stranded RNA (dsRNA) from ‘Mexican’ lime infected with different Citrus tristeza virus (CTV) genotypes, dsRNA from field samples, and small RNA and total RNA from grapefruit infected with the CTV T3 genotype. A set of probes was made available that is able to accurately detect CTV in sequence data regardless of the input dataset or the genotype that plants are infected with.