Genetic Diversity, Evolution, and Diagnosis of Sugarcane Yellow Leaf Virus from 19 Sugarcane-Producing Locations Worldwide.

Sugarcane yellow leaf virus (SCYLV), the causal agent of yellow leaf, has been reported in an increasing number of sugarcane-growing locations since its first report in the 1990s in Brazil, Florida, and Hawaii. In this study, the genetic diversity of SCYLV was investigated using the genome coding sequence (5,561 to 5,612 nt) of 109 virus isolates from 19 geographical locations, including 65 new isolates from 16 geographical regions worldwide. These isolates were distributed in three major phylogenetic lineages (BRA, CUB, and REU), except for one isolate from Guatemala. Twenty-two recombination events were identified among the 109 isolates of SCYLV, thus confirming that recombination was a significant driving force in the genetic diversity and evolution of this virus. No temporal signal was found in the genomic sequence dataset, most likely because of the short temporal window of the 109 SCYLV isolates (1998 to 2020). Among 27 primers reported in the literature for the detection of the virus by RT-PCR, none matched 100% with all 109 SCYLV sequences, suggesting that the use of some primer pairs may not result in the detection of all virus isolates. Primers YLS111/YLS462, which were the first primer pair used by numerous research organizations to detect the virus by RT-PCR, failed to detect isolates belonging to the CUB lineage. In contrast, primer pair ScYLVf1/ScYLVr1 efficiently detected isolates of all three lineages. Continuous pursuit of knowledge of SCYLV genetic variability is therefore critical for effective diagnosis of yellow leaf, especially in virus-infected and mainly asymptomatic sugarcane plants.

Genomic characterization of silvergrass cryptic virus 1, a novel partitivirus infecting Miscanthus sinensis.

In the present study we report the identification of a novel partitivirus recovered from Miscanthus sinensis, for which the provisional name "silvergrass cryptic virus 1" (SgCV-1) is proposed. High-throughput sequencing (HTS) and rapid amplification of cDNA ends (RACE) allowed the assembly of the complete sequence of each double-stranded RNA genome segment of this novel virus. The largest dsRNA segment, dsRNA1 (1699 bp), was predicted to encode a viral RNA-dependent RNA polymerase protein (RdRp) with 478 aa, and dsRNA2 (1490 bp) and dsRNA3 (1508 bp) were predicted to encode putative capsid proteins (CPs) with 347 and 348 aa, respectively. SgCV-1 has the highest amino acid sequence identity (≤ 70.80% in RdPp and ≤ 34.5% in CPs) to members of the genus Deltapartitivirus, family Partitiviridae, especially to unclassified viruses related to members of this genus. Its genome segment and protein lengths are also within the range of those of deltapartitiviruses. Moreover, phylogenetic analysis based on RdRp amino acid sequences also showed clustering of this novel virus with the related unclassified deltapartitiviruses. An RT-PCR survey of 94 imported M. sinensis samples held in quarantine identified seven additional samples carrying SgCV-1. This new virus fulfils all ICTV criteria to be considered a new member of the genus Deltapartitivirus.

HTS-Based Diagnostics of Sugarcane Viruses: Seasonal Variation and Its Implications for Accurate Detection.

Rapid global germplasm trade has increased concern about the spread of plant pathogens and pests across borders that could become established, affecting agriculture and environment systems. Viral pathogens are of particular concern due to their difficulty to control once established. A comprehensive diagnostic platform that accurately detects both known and unknown virus species, as well as unreported variants, is playing a pivotal role across plant germplasm quarantine programs. Here we propose the addition of high-throughput sequencing (HTS) from total RNA to the routine quarantine diagnostic workflow of sugarcane viruses. We evaluated the impact of sequencing depth needed for the HTS-based identification of seven regulated sugarcane RNA/DNA viruses across two different growing seasons (spring and fall). Our HTS analysis revealed that viral normalized read counts (RPKM) was up to 23-times higher in spring than in the fall season for six out of the seven viruses. Random read subsampling analyses suggested that the minimum number of reads required for reliable detection of RNA viruses was 0.5 million, with a viral genome coverage of at least 92%. Using an HTS-based total RNA metagenomics approach, we identified all targeted viruses independent of the time of the year, highlighting that higher sequencing depth is needed for the identification of DNA viruses.

Identification and characterization of Miscanthus yellow fleck virus, a new polerovirus infecting Miscanthus sinensis.

Miscanthus sinensis is a grass used for sugarcane breeding and bioenergy production. Using high throughput sequencing technologies, we identified a new viral genome in infected M. sinensis leaf tissue displaying yellow fleck symptoms. This virus is most related to members of the genus Polerovirus in the family Luteoviridae. The canonical ORFs were computationally identified, the P3 coat protein was expressed, and virus-like particles were purified and found to conform to icosahedral shapes, characteristic of the family Luteoviridae. We propose the name Miscanthus yellow fleck virus for this new virus.