Soybean Mosaic Virus Research Articles

An enzyme-free and ratiometric biosensor for single nucleotide polymorphism with portable electrochemical system

Portable, low-cost and efficient biosensing systems are valuable for single nucleotide polymorphisms (SNPs) analysis, particularly in resource-limited fields. Herein, a rapid, enzyme-free and ratiometric SNPs biosensor with portable electrochemical system enabling simultaneous recognition and signal amplification is proposed. To demonstrate its versatility and effectiveness, we have selected the human cancer-related KRAS gene and the soybean mosaic virus resistance Rsv3 gene as our analysis models. Our biosensor is constructed based on a combination of strand displacement reactions and hybridization chain reactions (HCR). This unique design enables to differentiate between mutant (MT) and wild (WD) sequences based on the differential release of HCR products on the electrode surfaces. Importantly, this enzyme-free SNPs biosensor concurrently achieves both SNPs recognition and signal amplification, significantly reducing the reaction time to just 40 minutes. Furthermore, we have developed a miniaturized biosensor system that incorporates screen printed gold electrodes (SPGE) and smartphones. This system is integrated with a ratiometric strategy with an limit of detection as low as 1.2 fM, enhancing accuracy and eliminating external interference. This simple SNPs biosensing system possesses high reliability, positioning it as a versatile biosensor for the determination of various SNPs mutations.

Development of an NLR-ID Toolkit and Identification of Novel Disease-Resistance Genes in Soybean.

The recognition of pathogen effectors through the nucleotide-binding leucine-rich repeat receptor (NLR) family is an important component of plant immunity. In addition to typical domains such as TIR, CC, NBS, and LRR, NLR proteins also contain some atypical integrated domains (IDs), the roles of which are rarely investigated. Here, we carefully screened the soybean (Glycine max) genome and identified the IDs that appeared in the soybean TNL-like proteins. Our results show that multiple IDs (36) are widely present in soybean TNL-like proteins. A total of 27 Gm-TNL-ID genes (soybean TNL-like gene encoding ID) were cloned and their antiviral activity towards the soybean mosaic virus (SMV)/tobacco mosaic virus (TMV) was verified. Two resistance (R) genes, SRA2 (SMV resistance gene contains AAA_22 domain) and SRZ4 (SMV resistance gene contains zf-RVT domain), were identified to possess broad-spectrum resistance characteristics towards six viruses including SMV, TMV, plum pox virus (PPV), cabbage leaf curl virus (CaLCuV), barley stripe mosaic virus (BSMV), and tobacco rattle virus (TRV). The effects of Gm-TNL-IDX (the domain of the Gm-TNL-ID gene after the TN domain) on the antiviral activity of a R protein SRC7TN (we previously reported the TN domain of the soybean broad-spectrum resistance gene SRC7) were validated, and most of Gm-TNL-IDX inhibits antiviral activity mediated by SRC7TN, possibly through intramolecular interactions. Yeast-two-hybrid (Y2H) and bimolecular fluorescence complementation (BiFC) assays showed that seven Gm-TNL-IDX interacted with SMV-component proteins. Truncation analysis on a broad-spectrum antiviral protein SRZ4 indicated that SRZ4TIR is sufficient to mediate antiviral activity against SMV. Soybean cDNA library screening on SRZ4 identified 48 interacting proteins. In summary, our results indicate that the integration of IDs in soybean is widespread and frequent. The NLR-ID toolkit we provide is expected to be valuable for elucidating the functions of atypical NLR proteins in the plant immune system and lay the foundation for the development of engineering NLR for plant-disease control in the future.

Silencing GmWRKY33B genes leads to reduced disease resistance in soybean

The WRKYs are a group of plant-specific transcription factors that play important roles in defense responses. In this study, we silenced 2 GmWRKY33B homologous genes using a bean pod mosaic virus (BPMV) vector carrying a single fragment from the conserved region of the GmWRKY33B genes. Silencing GmWRKY33B did not result in morphological changes. However, significantly reduced resistances to Pseudomonas syringae pv. glycinea (Psg) and soybean mosaic virus (SMV) were observed in the GmWRKY33B-silenced plants, indicating a positive role of the GmWRKY33B genes in disease resistance. Kinase assay showed that silencing the GmWRKY33B genes significantly reduced the activation of GmMPK6, but not GmMPK3, in response to flg22 treatment. Reverse transcriptase PCR (RT-PCR) analysis of the genes encoding prenyltransferases (PTs), which are the key enzymes in the biosynthesis of glyceollin, showed that the Psg-induced expression of these genes was significantly reduced in the GmWRKY33B-silenced plants compared with the BPMV-0 empty vector plants, which correlated with the presence of the W-boxes in the promoter regions of these genes. Taken together, our results suggest that GmWRKY33Bs are involved in soybean immunity through regulating the activation of the kinase activity of GmMPK6 as well as through regulating the expression of the key genes encoding the biosynthesis of glyceollins.

Virus-induced changes in host plant phenotype cue behavioral changes in Aphis glycines that enhance acquisition and transmission of soybean mosaic virus

Virus-induced changes in host plant phenotype cue behavioral changes in Aphis glycines that enhance acquisition and transmission of soybean mosaic virus

Balancing composite motion optimization using R-ERNN with plant disease

Soybean is a crop with a long cultivation history that plays a significant role on agricultural field. Early diagnosis of Soybean Mosaic Virus Disease (SMVD) is must require, because it causes a fast reduction and significant losses in soybean yields. Therefore, this paper proposes a Balancing Composite Motion optimization utilizing Recalling-Enhanced Recurrent Neural Network with Plant Disease for separating its severity into 0, 1 and 2 grades. Initially, hyper spectral image data was taken from Spec View software. Then, the spectral imageries of soybean leaves are processed to remove the redundancy in frequency bands that emerges owing to hyper spectral camera does not present any important information are filtered by Dual Tree Complex Wavelet Transform (DTCWT). In this, hyper spectral image features are extracted using Ternary pattern and discrete wavelet transform (TP-DWT) method. After completing the process of feature extraction, the feature extracted imageries are given to Recalling-Enhanced Recurrent Neural Network (RE-RNN) and it is used to classify the Soybean mosaic disease. Here, Balancing Composite Motion Optimization (BCMO) algorithm is employed for tuning the RE-RNN hyper parameters. The proposed PDI-RE-RNN-BCMO-HSI method provides 27.03%, 28.94% and 39.04% higher precision compared with existing method like grading model of soybean mosaic infection depending upon hyper spectral imaging technology (PDI-CNN-SVM-HSI), recognization of soybean varieties under hyper spectral imaging technology and one-dimensional CNN (PDI-1D-CNN-HSI) and hyper spectral imaging technology combined with multivariate models to recognize soybean disease (PDI-SNV-ELM-HSI) respectively.

Genomic blueprints of soybean (Glycine max) pathogen resistance: revealing the key genes for sustainable agriculture.

Soybean (Glycine max ) is an important oilseed, protein and biodiesel crop. It faces significant threats from bacterial, fungal and viral pathogens, which cause economic losses and jeopardises global food security. In this article, we explore the relationship between soybeans and these pathogens, focusing on the molecular responses that are crucial for soybeans defence mechanisms. Molecular responses involve small RNAs and specific genes, including resistance (R) genes that are pivotal in triggering immune responses. Functional genomics, which makes use of cutting-edge technologies, such as CRISPR Cas9 gene editing, allows us to identify genes that provide insights into the defence mechanisms of soybeans with the focus on using genomics to understand the mechanisms involved in host pathogen interactions and ultimately improve the resilience of soybeans. Genes like GmKR3 and GmVQ58 have demonstrated resistance against soybean mosaic virus and common cutworm, respectively. Genetic studies have identified quantitative trait loci (QTLs) including those linked with soybean cyst nematode, root-knot nematode and Phytophthora root and stem rot resistance. Additionally, resistance against Asian soybean rust and soybean cyst nematode involves specific genes and their variations in terms of different copy numbers. To address the challenges posed by evolving pathogens and meet the demands of a growing population, accelerated soybean breeding efforts leveraging functional genomics are imperative. Targeted breeding strategies based on a deeper understanding of soybean gene function and regulation will enhance disease resistance, ensuring sustainable agriculture and global food security. Collaborative research and continued technological advancements are crucial for securing a resilient and productive agricultural future.

Genome-wide analysis of the soybean eEF gene family and its involvement in virus resistance.

Eukaryotic elongation factors (eEFs) are protein factors that mediate the extension of peptide chain, among which eukaryotic elongation factor 1 alpha (eEF1A) is one of the most abundant protein synthesis factors. Previously we showed that the P3 protein of Soybean mosaic virus (SMV), one of the most destructive and successful viral pathogens of soybean, targets a component of the soybean translation elongation complex to facilitate its pathogenesis. Here, we conducted a systematic analyses of the soybean eEF (GmeEF) gene family in soybean and examinedits role in virus resistance. In this study, GmeEF family members were identified and characterized based on sequence analysis. The 42 members, which were unevenly distributed across the 15 chromosomes, were renamed according to their chromosomal locations. The GmeEF members were further divided into 12 subgroups based on conserved motif, gene structure, and phylogenetic analyses. Analysis of the promoter regions showed conspicuous presence of myelocytomatosis (MYC) and ethylene-responsive (ERE) cis-acting elements, which are typically involved in drought and phytohormone response, respectively, and thereby in plant stress response signaling. Transcriptome data showed that the expression of 15 GmeEF gene family members changed significantly in response to SMV infection. To further examine EF1A function in pathogen response, three different Arabidopsis mutants carrying T-DNA insertions in orthologous genes were analyzed for their response to Turnip crinkle virus (TCV) and Cucumber mosaic virus (CMV). Results showed that there was no difference in viral response between the mutants and the wild type plants. This study provides a systematic analysis of the GmeEF gene family through analysis of expression patterns and predicted protein features. Our results lay a foundation for understanding the role of eEF gene in soybean anti-viral response.

Effects of Xylo-oligosaccharides on soybean growth and mosaic virus disease resistance

Effects of Xylo-oligosaccharides on soybean growth and mosaic virus disease resistance

GmCBP60b Plays Both Positive and Negative Roles in Plant Immunity.

CBP60b (CALMODULIN-BINDING PROTEIN 60b) is a member of the CBP60 transcription factor family. In Arabidopsis, AtCBP60b not only regulates growth and development but also activates the transcriptions in immune responses. So far, CBP60b has only been studied extensively in the model plant Arabidopsis and rarely in crops. In this study, Bean pod mottle virus (BPMV)-mediated gene silencing (BPMV-VIGS) was used to silence GmCBP60b.1/2 in soybean plants. The silencing of GmCBP60b.1/2 resulted in typical autoimmunity, such as dwarfism and enhanced resistance to both Soybean mosaic virus (SMV) and Pseudomonas syringae pv. glycinea (Psg). To further understand the roles of GmCBP60b in immunity and circumvent the recalcitrance of soybean transformation, we generated transgenic tobacco lines that overexpress GmCBP60b.1. The overexpression of GmCBP60b.1 also resulted in autoimmunity, including spontaneous cell death on the leaves, highly induced expression of PATHOGENESIS-RELATED (PR) genes, significantly elevated accumulation of defense hormone salicylic acid (SA), and significantly enhanced resistance to Pst DC3000 (Pseudomonas syrangae pv. tomato DC3000). The transient coexpression of a luciferase reporter gene driven by the promoter of soybean SYSTEMIC ACQUIRED RESISTANCE DEFICIENT 1 (GmSARD1) (ProGmSARD1::LUC), together with GmCBP60b.1 driven by the 35S promoter, led to the activation of the LUC reporter gene, suggesting that GmCBP60b.1 could bind to the core (A/T)AATT motifs within the promoter region of GmSARD1 and, thus, activate the expression of the LUC reporter. Taken together, our results indicate that GmCBP60b.1/2 play both positive and negative regulatory roles in immune responses. These results also suggest that the function of CBP60b is conserved across plant species.

MAUS 725: A early maturity, high seed yielding and biotic stress tolerant variety release for the Marathwada region of Maharashtra

Soybean variety MAUS 725 developed by cross between widely adopted soybean varieties viz., JS 93-05 and MAUS 71. The soybean variety MAUS 725 recorded average seed yield 2207 kg/ha in state multilocation trial of Maharashtra during 2017-18 to 2020-21 (36 trials) and showed superiority of 7.65%, 10.57 % and 11.11% over national checks JS 335, JS 93-05 and JS 97-52, and 5.49 % over local check MAUS 71, respectively. In regional multilocation trial (Marathwada) conducted during 2017-18 to 2020-21 (14 trials), it recorded average seed yield 2398 kg/ha and showed the superiority of 25.54 %, 25.15 % and 33.66 % over national checks JS 335, JS 93-05 and JS 97-52 and 15.06 % over local check MAUS 71, respectively. In AICRP trial conducted during 2017-18 across seven locations in southern zone it recorded average seed yield 2161 kg/ha and showed superiority 10.48 % over national check JS 93-05. Soybean variety MAUS 725 recorded early maturity (93-98 days) and showed the numerical higher test weight as compared to national and local checks. In adoptive trials of farmers field MAUS 725 has recorded average seed yield of 2106 kg/ha and 2253 kg/ha during kharif 2020 & 2021 and showed superiority of 13.65, 17.85 and 12.70, 17.34per cent over local check MAUS 71 and national check JS 335, respectively. The soybean variety MAUS 725 showed moderate to highly resistant against stem tunnelling due to stem fly, moderate resistant against girdle beetle, moderate resistant to resistant against defoliators, moderate to highly resistant against aphids and white fly across zone in AICRP IVT trial conducted during 2017-18. Newly developed variety MAUS725 was observed to be Moderately resistant/Resistant/Highly resistant/Absolute resistant to several diseases like Bacterial pustule, Pod blight, Soybean yellow mosaic virus, Brown spot, Bacterial blight, Soybean crinkle virus, Indian bud blight, Soybean mosaic virus, Alternaria leaf spot, Charcoal rot and Purple seed stain in AICRP CIVT infection index of various diseases conducted during kharif 2017-18 across all zones of India.

Red and Blue Light Induce Soybean Resistance to Soybean Mosaic Virus Infection through the Coordination of Salicylic Acid and Jasmonic Acid Defense Pathways.

Soybean mosaic virus (SMV) seriously harms soybean quality and yield. In order to understand the effect of a heterogeneous light environment on the disease resistance of intercropped soybeans, we simulated three kinds of light environments to learn the effects of white light, blue light, and far-red light on the SMV resistance of soybeans. The results showed that compared with the control, SMV-infected soybeans showed dwarfing and enhanced defense. The symptoms of leaves under red and blue light were less severe than those under white light, the virus content of infected plants was about 90% lower than under white light, the activity of antioxidant enzymes increased, and the accumulation of reactive oxygen species decreased. The oxidation damage in SMV-infected soybeans was serious under far-red light. Transcriptome data showed that the biostimulatory response, plant-pathogen interaction, and plant hormone signaling pathway gene expression of SMV-infected soybeans were significantly up-regulated under red light compared with the control. Compared with the control, the genes in the biostimulatory response, calcium ion binding, carbohydrate-binding, mitogen-activated protein kinase (MAPK) signaling, and plant-pathogen interaction pathways, were significantly up-regulated in SMV-infected soybeans under blue light. In far-red light, only 39 genes were differentially expressed in SMV-infected soybeans compared with the control, and most of the genes were down-regulated. Compared with the control, the up-regulation of the salicylic acid (SA) pathway defense gene in SMV-infected soybeans under red light was higher than under other light treatments. Compared with the control, the up-regulation of the jasmonic acid (JA) and ethylene (ET) pathway defense genes in SMV-infected soybeans under blue light was higher than under other light treatments. Compared with the control, most defense-related genes in the SA and JA pathways were inhibited in SMV-infected soybeans under far-red light, while genes in the ET pathway were significantly up-regulated. These results will advance our understanding of the disease resistance mechanism of intercropping soybeans in a heterogeneous light environment and provide new ideas for the prevention and control of viral diseases.

Soybean 40S Ribosomal Protein S8 (GmRPS8) Interacts with 6K1 Protein and Contributes to Soybean Susceptibility to Soybean Mosaic Virus.

Soybean mosaic virus (SMV), a member of Potyvirus, is the most destructive and widespread viral disease in soybean production. Our earlier studies identified a soybean 40S ribosomal protein S8 (GmRPS8) using the 6K1 protein of SMV as the bait to screen a soybean cDNA library. The present study aims to identify the interactions between GmRPS8 and SMV and characterize the role of GmRPS8 in SMV infection in soybean. Expression analysis showed higher SMV-induced GmRPS8 expression levels in a susceptible soybean cultivar when compared with a resistant cultivar, suggesting that GmRPS8 was involved in the response to SMV in soybean. Subcellular localization showed that GmRPS8 was localized in the nucleus. Moreover, the yeast two-hybrid (Y2H) experiments showed that GmRPS8 only interacted with 6K1 among the eleven proteins encoded by SMV. The interaction between GmRPS8 and 6K1 was further verified by a bimolecular fluorescence complementation (BiFC) assay, and the interaction was localized in the nucleus. Furthermore, knockdown of GmRPS8 by a virus-induced gene silencing (VIGS) system retarded the growth and development of soybeans and inhibited the accumulation of SMV in soybeans. Together, these results showed that GmRPS8 interacts with 6K1 and contributes to soybean susceptibility to SMV. Our findings provide new insights for understanding the role of GmRPS8 in the SMV infection cycle, which could help reveal potyviral replication mechanisms.

Silencing GmATG7 Leads to Accelerated Senescence and Enhanced Disease Resistance in Soybean.

Autophagy plays a critical role in nutrient recycling/re-utilizing under nutrient deprivation conditions. However, the role of autophagy in soybeans has not been intensively investigated. In this study, the Autophay-related gene 7 (ATG7) gene in soybeans (referred to as GmATG7) was silenced using a virus-induced gene silencing approach mediated by Bean pod mottle virus (BPMV). Our results showed that ATG8 proteins were highly accumulated in the dark-treated leaves of the GmATG7-silenced plants relative to the vector control leaves (BPMV-0), which is indicative of an impaired autophagy pathway. Consistent with the impaired autophagy, the dark-treated GmATG7-silenced leaves displayed an accelerated senescence phenotype, which was not seen on the dark-treated BPMV-0 leaves. In addition, the accumulation levels of both H2O2 and salicylic acid (SA) were significantly induced in the GmATG7-silenced plants compared with the BPMV-0 plants, indicating an activated immunity. Consistently, the GmATG7-silenced plants were more resistant against both Pseudomonas syringae pv. glycinea (Psg) and Soybean mosaic virus (SMV) compared with the BPMV-0 plants. However, the activated immunity in the GmATG7-silenced plant was not dependent upon the activation of MPK3/MPK6. Collectively, our results demonstrated that the function of GmATG7 is indispensable for autophagy in soybeans, and the activated immunity in the GmATG7-silenced plant is a result of impaired autophagy.

Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus.

As a high-value oilseed crop, soybean [Glycine max (L.) Merr.] is limited by various biotic stresses during its growth and development. Soybean mosaic virus (SMV) is a devastating viral infection of soybean that primarily affects young leaves and causes significant production and economic losses; however, the synergistic molecular mechanisms underlying the soybean response to SMV are largely unknown. Therefore, we performed RNA sequencing on SMV-infected resistant and susceptible soybean lines to determine the molecular mechanism of resistance to SMV. When the clean reads were aligned to the G. max reference genome, a total of 36,260 genes were identified as expressed genes and used for further research. Most of the differentially expressed genes (DEGs) associated with resistance were found to be enriched in plant hormone signal transduction and circadian rhythm according to Kyoto Encyclopedia of Genes and Genomes analysis. In addition to salicylic acid and jasmonic acid, which are well known in plant disease resistance, abscisic acid, indole-3-acetic acid, and cytokinin are also involved in the immune response to SMV in soybean. Most of the Ca2+ signaling related DEGs enriched in plant-pathogen interaction negatively influence SMV resistance. Furthermore, the MAPK cascade was involved in either resistant or susceptible responses to SMV, depending on different downstream proteins. The phytochrome interacting factor-cryptochrome-R protein module and the MEKK3/MKK9/MPK7-WRKY33-CML/CDPK module were found to play essential roles in soybean response to SMV based on protein-protein interaction prediction. Our findings provide general insights into the molecular regulatory networks associated with soybean response to SMV and have the potential to improve legume resistance to viral infection.

Investigating Variability in Viral Presence and Abundance across Soybean Seed Development Stages Using Transcriptome Analysis.

Plant transcriptomes offer a valuable resource for studying viral communities (viromes). In this study, we explore how plant transcriptome data can be applied to virome research. We analyzed 40 soybean transcriptomes across different growth stages and identified six viruses: broad bean wilt virus 2 (BBWV2), brassica yellow virus (BrYV), beet western yellow virus (BWYV), cucumber mosaic virus (CMV), milk vetch dwarf virus (MDV), and soybean mosaic virus (SMV). SMV was the predominant virus in both Glycine max (GM) and Glycine soja (GS) cultivars. Our analysis confirmed its abundance in both, while BBWV2 and CMV were more prevalent in GS than GM. The viral proportions varied across developmental stages, peaking in open flowers. Comparing viral abundance measured by viral reads and fragments per kilobase of transcript per million (FPKM) values revealed insights. SMV showed similar FPKM values in GM and GS, but BBWV2 and CMV displayed higher FPKM proportions in GS. Notably, the differences in viral abundance between GM and GS were generally insignificant based on the FPKM values across developmental stages, except for the apical bud stage in four GM cultivars. We also detected MDV, a multi-segmented virus, in two GM samples, with variable proportions of its segments. In conclusion, our study demonstrates the potential of plant transcriptomes for virome research, highlighting their strengths and limitations.

GmTOC1b negatively regulates resistance to Soybean mosaic virus

Soybean (Glycine max) is a major oil and feed crop worldwide. Soybean mosaic virus (SMV) is a globally occurring disease that severely reduces the yield and quality of soybean. Here, we characterized the role of the clock gene TIMING OF CAB EXPRESSION 1b (GmTOC1b) in the resistance of soybean to SMV. Homozygous Gmtoc1b mutants exhibited increased tolerance to SMV strain SC3 due to the activation of programmed cell death triggered by a hypersensitive response. Transcriptome deep sequencing and RT-qPCR analysis suggested that GmTOC1b likely regulates the expression of target genes involved in the salicylic acid (SA) signaling pathway. GmTOC1b binds to the promoter of GmWRKY40, which encodes a protein that activates the expression of SA-mediated defense-related genes. Moreover, we revealed that the GmTOC1bH1 haplotype, which confers increased tolerance to SMV, was artificially selected in improved cultivars from the Northern and Huang-Huai regions of China. Our results therefore identify a previously unknown SMV resistance component that could be deployed in the molecular breeding of soybean to enhance SMV resistance.

Chloroplast-related host proteins interact with NIb and NIa-Pro of soybeans mosaic virus and induce resistance in the susceptible cultivar

To gain a deeper understanding of the molecular mechanisms involved in viral infection and the corresponding plant resistance responses, it is essential to investigate the interactions between viral and host proteins. In the case of viral infections in plants, a significant portion of the affected gene products are closely associated with chloroplasts and photosynthesis. However, the molecular mechanisms underlying the interplay between the virus and host chloroplast proteins during replication remain poorly understood. In our previous study, we made an interesting discovery regarding soybean mosaic virus (SMV) infection in resistant and susceptible soybean cultivars. We found that the photosystem I (PSI) subunit (PSaC) and ATP synthase subunit α (ATPsyn-α) genes were up-regulated in the resistant cultivar following SMV-G7H and SMV-G5H infections compared to the susceptible cultivar. Overexpression of these two genes within the SMV-G7H genome in the susceptible cultivar Lee74 (rsv3-null) reduced SMV accumulation, whereas silencing of the PSaC and ATPsyn-α genes promoted SMV accumulation. We have also found that the PSaC and ATPsyn-α proteins are present in the chloroplast envelope, nucleus, and cytoplasm. Building on these findings, we now characterized protein-protein interactions between PSaC and ATPsyn-α with two viral proteins, NIb and NIa-Pro, respectively, of SMV. Through co-immunoprecipitation (Co-IP) experiments, we confirmed the interactions between these proteins. Moreover, when the C-terminal region of either PSaC or ATPsyn-α was overexpressed in the SMV-G7H genome, we observed a reduction in viral accumulation and systemic infection in the susceptible cultivar. Based on these results, we propose that the PSaC and ATPsyn-α genes play a modulatory role in conferring resistance to SMV infection by influencing the function of NIb and NIa-Pro-in SMV replication and movement. The identification of these photosynthesis-related genes as key players in the interplay between the virus and the host provides valuable insights for developing more targeted control strategies against SMV. Additionally, by utilizing these genes, it may be possible to genetically engineer plants with improved photosynthetic efficiency and enhanced resistance to SMV infection.

First report of Soybean mosaic virus of sword bean in South Korea.

Soybean mosaic virus (SMV) is a member of the genus Potyvirus in the family Potyviridae. Legume crops are often infected by SMV. SMV has not been naturally isolated from sword bean (Canavalia gladiata) in South Korea. In July 2021, 30 samples of sword bean were collected at the field located in Hwasun and Muan, Jeonnam, Korea to investigate viruses infecting sword bean. The samples exhibited symptoms typical of viral infection such as mosaic pattern and, mottling of leaves. Reverse transcription polymerase chain reaction (RT-PCR) and reverse transcription loop-mediated isothermal amplification (RT-LAMP) techniques were employed to identify the agent of viral infection in sword bean samples. Total RNA was extracted from the samples using the Easy-SpinTM Total RNA Extraction Kit (Intron, Seongnam, Korea). Out of the 30 samples, seven were found to be infected by the SMV. RT-PCR was performed using RT-PCR Premix (GeNet Bio, Daejeon, Korea) with SMV-specific primer set, forward primer (SM-N40, 5'-CATATCAGTTTGTTGGGCA-3') and the reverse primer (SM-C20, 5'-TGCCTATACCCTCAACAT-3'), yielding a product of 492 bp (Lim et al., 2014). RT-LAMP was performed using RT-LAMP Premix (EIKEN Chemical, Tokyo, Japan) with SMV-specific primer set, the forward primer (SML-F3, 5'-GACGATGAACAGATGGGC-3', SML-FIP, 5'-GCATCTGGAGATGTGCTTTTGTGGTTATGAATGGTTTCATGG-3') and reverse primer (SML-B3, 5'-TCTCAGAGTTGGTTTTGCA-3', SML-BIP, 5'-GCGTGTGGGTGATGATGGATTTTTTCGACAATGGGTTTCAGC-3') for diagnosis of viral infection (Lee et al., 2015). The full coat protein genes of seven isolates were amplified using RT-PCR to determine their nucleotide sequence. The standard nucleotide BLAST (blastn suite) showed that the seven isolates had approximately 98.2-100% homology with SMV isolates (FJ640966, MT603833, MW079200, and MK561002) in NCBI GenBank. The sequences of seven isolates were deposited in the GenBank database under the accession numbers: OP046403-9. For the pathogenicity assay of the isolate, the crude saps from SMV-infected samples were mechanically inoculated into sword bean. Fourteen days after inoculation, the mosaic symptoms were observed on the upper leaves of sword bean. As a result of the RT-PCR diagnosis in the upper leaves, SMV was reconfirmed in sword bean. This is the first report of natural SMV infection in sword bean. As sword beans are increasingly consumed for teas, transmitted seeds are resulting in a decrease in pod production and quality. It is necessary to develop efficient methods of seed processing and management strategies to control SMV infection in sword bean.

Plant-Derived Essential Oils and Aqueous Extract as Potential Ingredients for a Biopesticide: Phytotoxicity in Soybean and Activity against Soybean Mosaic Virus

Soybean mosaic disease, caused by the soybean mosaic virus (SMV), is responsible for major losses in yield and seed quality worldwide. Although resistant cultivars are used for its prevention and control, an alternative strategy could consist of applying environmentally friendly antimicrobial agents, such as extracts and essential oils (EOs) of aromatic plants. This study assessed an extract of Achyrocline satureioides and EOs of Minthostachys verticillata, Origanum vulgare, and Thymus vulgaris in terms of their phytotoxicity in soybean. Since all the concentrations tested were found to be safe, the activity of each product against SMV was then assayed in vivo, i.e., in experimentally infected soybean plants. The parameters measured were plant height, wet weight, and virus titer. All the treated plants had a greater height and weight than those in the viral control group. The EOs of M. verticillata (0.80 mg/mL) and T. vulgaris (0.71 mg/mL) inhibited the production of viral antigens, as determined by an ELISA test. These findings could encourage further studies aimed at developing an effective biopesticide against SMV.

First report of Passion fruit green spot virus in yellow Passion fruit (Passiflora edulis f. flavicarpa) in Casanare, Colombia.

Passiflora edulis, commonly known as passion fruit, is a vine species of passionflower native to South America. In Colombia, yellow passion fruit (P. edulis f. flavicarpa) is the most important species in terms of net production and local consumption. Recently two brevipalpus transmitted cileviruses, (i) passion fruit green spot virus (PfGSV) and (ii) hibiscus strain of citrus leprosis virus C2 (CiLV-C2H) were detected in passion fruit in Brazil and Hawaii, respectively (Ramos-González et al., 2020, Olmedo-Velarde et al., 2022). CiLV-C2H infects both citrus and hibiscus in Colombia (Roy et al., 2015, 2018) but there was no report of PfGSV elsewhere apart from Brazil and Paraguay (Costa-Rodrigues et al., 2022). Apart from emerging begomovirus diseases, five major viruses are known to infect passion fruit in Colombia: soybean mosaic virus (SMV), cowpea aphid-borne mosaic virus, passion fruit yellow mosaic virus, cucumber mosaic virus, and a tentative Gulupa bacilliform badnavirus A (Cardona et al., 2022). Current findings of CiLV-C2H in passion fruit and PfGSV in hibiscus motivated us to investigate the possibilities of cilevirus infection in passion fruit in Colombia. During surveys, along with healthy yellow passion fruit leaves, five symptomatic plant samples from Meta and three from Casanare were collected before sent to the Molecular Plant Pathology Laboratory at Beltsville, MD under APHIS permit. Passion fruit samples from Meta showed leaf mottling, rugose mosaic, and leaf distortion, whereas leaf variegation, chlorotic spots, yellowing, green spots in senescent leaves and green vein banding were observed in the Casanare samples (Supp. Fig. 1). Total RNA was extracted using RNeasy Plant Mini Kit (Qiagen, USA). To know the potential cilevirus infection in these samples, three PfGSV specific (Ramos-González et al. 2020) and a CiLV-C2 generic primer pairs (Olmedo-Velarde et al. 2021) were used in the RT-PCR assays. All five passion fruit samples from Meta failed to produce either CiLV-C2 or CiLV-C2H or PfGSV amplicon whereas all three Casanare samples successfully amplified 321, 244 and 299 nts of PfGSV-RNA1 and -RNA2 amplicons using C13F/C13R, C6F/C6R and C8F/C8R primers, respectively. Bi-directional amplicon sequencing followed by BlastN analysis revealed ≥99% nt identity with the PfGSV-RNA1 (MK804173) and -RNA2 (MK804174) genome sequences. An optimized ribo-depleted library preparation protocol was utilized to prepare two cDNA libraries using the RNA extracts of a PfGSV suspected positive (Casanare) and a negative (Meta) samples (Chellappan et al., 2022). HTS libraries of Casanare and Meta samples resulted in 22.7 to 29.5 million raw reads, respectively. After adapter trimming and filtering, clean reads were mapped to the Arabidopsis thaliana reference genome and unmapped reads were de novo assembled (Chellappan et al., 2022). BlastN analysis from the assembled contigs identified 1-3 contigs corresponding to PfGSV-RNA1 and -RNA2, respectively, from Casanare sample whereas 3 contigs of SMV were identified in Meta passion fruit sample. No other virus sequence was obtained from either of the libraries. Assembled contigs covered 99.33% of the RNA1 and 94.42% of the RNA2 genome, with read depths of 64,474 and 119,549, respectively. Meta sample contigs (OP564897) covered >99% of the SMV genome, which shared >99% nt identity with the Colombian SMV isolates (KY249378, MW655827). Both RNA-1 (OP564895) and -2 (OP564896) segments of the Casanare isolate shared 99% nt identity with PfGSV isolate (MK804173-74). Our discovery identified PfGSV in Colombia, for the first-time outside Brazil and Paraguay. The findings of PfGSV in yellow passion fruit increases the potential threat and possibility of PfGSV movement via Brevipalpus sp. from passion fruit to other hosts.