Soybean Viromes in the Republic of Korea Revealed by RT-PCR and Next-Generation Sequencing

Characterization of a Putative New Member of the Genus Potyvirus from Kudzu (Pueraria montana var. lobata) in Mississippi

Kudzu (Pueraria montana var. lobata), a plant native to Southeastern Asia, has become a major noxious weed covering millions of hectares in the Southern United States. A kudzu patch displaying virus-like symptoms located in Ackerman, northeastern Mississippi (MS), was used as a source for virus isolation and characterization involving mechanical and vector transmission, ultrastructural observation, surveys, Sanger and high-throughput genome sequencing, and sequence analyses. The results revealed the presence of a new potyvirus in infected kudzu, closely related to wisteria vein mosaic virus (WVMV) and provisionally named kudzu chlorotic ring blotch virus (KudCRBV). Genome features and pairwise comparison with six WVMV genomes currently available in GenBank and three additional isolates from MS sequenced in this work suggest that KudCRBV is likely a member of a new species in the genus Potyvirus. Furthermore, under experimental conditions, KudCRBV was successfully transmitted by cotton and potato aphids and mechanically to soybean and beans. A state-wide survey revealed several kudzu patches infected by the virus in northern MS.

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.

In Silico Virome Analysis of Chinese Narcissus Transcriptomes Reveals Diverse Virus Species and Genetic Diversity at Different Flower Development Stages

Viromes of Chinese narcissus flowers were explored using transcriptome data from 20 samples collected at different flower development stages. Quality controlled raw data underwent de novo assembly, resulting in 5893 viral contigs that matched the seven virus species. The most abundant viruses were narcissus common latent virus (NCLV), narcissus yellow stripe virus (NYSV), and narcissus mottling-associated virus (NMaV). As flower development stages advanced, white tepal plants showed an increase in the proportion of viral reads, while the variation in viral proportion among yellow tepal plants was relatively small. Narcissus degeneration virus (NDV) dominated the white tepal samples, whereas NDV and NYSV prevailed in the yellow tepal samples. Potyviruses, particularly NDV, are the primary infectious viruses. De novo assembly generated viral contigs for five viruses, yielding complete genomes for NCLV, NDV, narcissus late season yellow virus (NLSYV), and NYSV. Phylogenetic analysis revealed genetic diversity, with distinct NCLV, NMaV, NDV, NLSYV, and NYSV groups. This study provides valuable insights into the viromes and genetic diversity of viruses in Chinese narcissus flowers.

Phylogenetic and Phylodynamic Analyses of Soybean Mosaic Virus Using 305 Coat Protein Gene Sequences

Soybean mosaic virus (SMV) of the family Potyviridae is the most devastating virus that infects soybean plants. In this study, we obtained 83 SMV coat protein (CP) sequences from seven provinces in Korea using RT-PCR and Sanger sequencing. Phylogenetic and haplotype analyses revealed eight groups of 83 SMV isolates and a network of 50 SMV haplotypes in Korea. The phylogenetic tree using 305 SMV CP sequences available worldwide revealed 12 clades that were further divided into two groups according to the plant hosts. Recombination rarely occurred in the CP sequences, while negative selection was dominant in the SMV CP sequences. Genetic diversity analyses revealed that plant species had a greater impact on the genetic diversity of SMV CP sequences than geographical origin or location. SMV isolates identified from Pinellia species in China showed the highest genetic diversity. Phylodynamic analysis showed that the SMV isolates between the two Pinellia species diverged in the year 1248. Since the divergence of the first SMV isolate from Glycine max in 1486, major clades for SMV isolates infecting Glycine species seem to have diverged from 1791 to 1886. Taken together, we provide a comprehensive overview of the genetic diversity and divergence of SMV CP sequences.

Detection and discovery of plant viruses in soybean by metagenomic sequencing

BACKGROUND

Viruses negatively impact soybean production by causing diseases that affect yield and seed quality. Newly emerging or re-emerging viruses can also threaten soybean production because current control measures may not be effective against them. Furthermore, detection and characterization of new plant viruses requires major efforts when no sequence or antibody-based resources are available.

METHODS

In this study, soybean fields were scouted for virus-like disease symptoms during the 2016-2019 growing seasons. Total RNA was extracted from symptomatic soybean parts, cDNA libraries were prepared, and RNA sequencing was performed using high-throughput sequencing (HTS). A custom bioinformatic workflow was used to identify and assemble known and unknown virus genomes.

RESULTS

Several viruses were identified in single or mixed infections. Full- or nearly full-length genomes were generated for tobacco streak virus (TSV), alfalfa mosaic virus (AMV), tobacco ringspot virus (TRSV), soybean dwarf virus (SbDV), bean pod mottle virus (BPMV), soybean vein necrosis virus (SVNV), clover yellow vein virus (ClYVV), and a novel virus named soybean ilarvirus 1 (SIlV1). Two distinct ClYVV isolates were recovered, and their biological properties were investigated in Nicotiana benthamiana, broad bean, and soybean. In addition to infections by individual viruses, we also found that mixed viral infections in various combinations were quite common.

CONCLUSIONS

Taken together, the results of this study showed that HTS-based technology is a valuable diagnostic tool for the identification of several viruses in field-grown soybean and can provide rapid information about expected viruses as well as viruses that were previously not detected in soybean.

Complete Genome Sequence of a Novel Monopartite Mastrevirus, Soybean Geminivirus B, Isolated from Soybean (Glycine max (L.) Merrill)

Soybean is one of the most important crops in Korea. To identify the viruses infecting soybean, we conducted RNA sequencing with samples displaying symptoms of viral disease. A contig displaying sequence similarity to the known Geminivirus was identified. A polymerase chain reaction (PCR) using two different pairs of back-to-back primers and rolling circle amplification (RCA) confirmed the complete genome of a novel virus named soybean geminivirus B (SGVB), consisting of a circular monopartite DNA genome measuring 2616 nucleotides (nt) in length. SGVB contains four open reading frames (ORFs) and three intergenic regions (IRs). IR1 includes a nonanucleotide origin of replication in the stem-loop structure. Phylogenetic and BLAST analyses demonstrated that SGVB could be a novel virus belonging to the genus Mastrevirus in the family Geminiviridae. We generated infectious clones for SGVB by adding a copy of the IR1 region of SGVB, comparing the V-ori in addition to the full-length genome of SGVB. Using the infectious clones, we observed chlorosis and leaf curling with a latent infection in the inoculated Nicotiana benthamiana plants, while none of the inoculated soybean plants showed any visible symptoms of disease. This study provides the complete genome sequence and infectious clones of a novel Mastrevirus referred to as SGVB from soybean in Korea.

Virome studies of food production systems: time for 'farm to fork' analyses

The food industry is under increasing pressure to produce high quality, traceable and minimally processed foods that are produced using sustainable approaches and ingredients. In line with the latter, there is an increased pressure for plant-based products to replace animal-derived products. Until recently, research efforts have mainly focused on dairy and meat products owing to their economic importance. The shift towards plant-based diets and food production requires a corresponding shift in research efforts to define the microbial requirements for and composition of (novel) plant-based foods, the (micro)organisms that are beneficial to such production systems, and the abundance and role of (bacterio)phages in shaping the microbial landscape of these foods. In this review, we explore current efforts in the area of virome analysis of foods and food production environments and highlight the need for more unified approaches to understand the contribution of phages in food safety and quality, and to develop novel tools to enhance the traceability of foods.