Biology subjects

Poursalavati, A.

Publications and source records attributed to Poursalavati, A..

5 recordsLinked to original sources

bioRxiv2025

Exploring the mycovirome: novel and diverse mycoviruses in Botrytis cinerea

Botrytis cinerea is a necrotrophic fungal pathogen that causes significant economic losses to many crops, including vegetables, fruits, and ornamental plants. The management of B. cinerea is difficult due to a rise in fungicide resistance. Harnessing mycoviruses that cause reduced virulence (hypovirulence) in B. cinerea is a promising alternative. Over 100 mycoviruses have been identified in Botrytis spp. to date, including several hypovirulence-inducing mycoviruses. This research aimed to further explore, for the first time in Canada, the mycovirome of B. cinerea and identify potential hypovirulence-inducing mycoviruses. Isolates of B. cinerea were collected from fruits and vegetables in the province of Quebec. Fitness and pathogenicity criteria, including sclerotia production, colony morphotype, and lesion size were evaluated. A double-stranded RNA (dsRNA) extraction protocol tailored to the detection of mycoviruses was used to sequence dsRNA from 45 isolates with low fitness/pathogenicity, and an in-house bioinformatics workflow was used to profile the mycovirome. Mycoviruses were identified in 44/45 isolates. Most of these had positive single-stranded RNA or dsRNA genomes, and a small number had negative single-stranded RNA, single-stranded DNA, or reverse transcriptase RNA genomes. Following deep analysis of RNA-dependent RNA polymerase and replication initiation proteins, a total of 62 unique contigs were identified belonging to new strains of mycovirus species. Furthermore, four putative novel mycovirus species belonging to Endornaviridae, Botybirnaviridae, Peribunyaviridae, and Bunyavirales taxa were identified. Several mycovirus species positively and/or negatively co-occurred with B. cinerea isolates collected from strawberry or raspberry. This study revealed a high degree of diversity in the mycovirome of B. cinerea. Species accumulation curve analysis indicated that, with the number of isolates characterized, we were unable to capture the full extent of expected diversity. Nevertheless, we identified potential hypovirulence-inducing mycoviruses, including Botrytis cinerea mitovirus 1, Botrytis cinerea hypovirus 1, and Botrytis porri botybirnavirus 1. Some of these novel mycoviruses belonged to taxa known to produce viral particles, which can be an interesting feature for their use as biocontrol agents (BCA). ImportanceThis study provides the first comprehensive profiling of mycoviruses infecting Botrytis cinerea in Canada, a significant step in understanding how these viruses can naturally limit crop disease. Due to growing resistance against conventional fungicides, new biological methods to control B. cinerea are crucial. By profiling mycoviruses in fungal samples collected in Quebec, we identified several novel viruses that appear to reduce the pathogenicity of B. cinerea. These viruses, known as hypovirulence-inducing mycoviruses, could be used to develop biocontrol agents (BCA), offering a more sustainable disease management alternative. Notably, we found virus families with extracellular potential, which may enable easier application as BCAs in agriculture. This research not only broadens the understanding of fungal virology but also holds promise for innovative, eco-friendly approaches to managing Botrytis cinerea in Canada.

genomics↗

bioRxiv2023

From Asymptomatic to Symptomatic: Multiomics profiling of the temporal response of grapevine viral-mixed infection

Mixed viral infections are common in grapevines. However, our understanding of the factors and signaling pathways that influence the expression of viral symptoms in mixed infections is still incomplete. In a previous study, we revealed that the presence of grapevine leafroll-associated virus species in mixed infections was randomly associated with the devel-opment of virus-like symptoms. To understand what drives the timing of these virus-like symptoms in mixed infections, we used dsRNA and total RNA sequencing and metabolomic analysis to profile the viromes, metabolites, and transcripts of grapevine leaves collected at two different times of the year (summer and autumn). We demonstrated that neither viral titre nor virome composition changes were associated with symptom expression in autumn. The total phenolic content and antioxidant capacity increased in most plants except for those with early onset symptoms. According to the results of differential gene expression analysis, cell wall biosynthesis pathways were significantly downregulated in all grapevine plants infected with grapevine leafroll-associated virus 3, grapevine asteroid mosaic-associated virus, and grape-vine Pinot gris virus. In addition, polyketide pathways were significantly upregulated in all cultivars, while flavonoid precursor (e.g. abscisic acid) production was significantly reduced in plants that expressed strong virus-like symptoms. In the Vidal cultivar, an uncharacterized double-stranded RNA-binding protein (DRB) appears to play a critical role in the plants an-tiviral defences, supporting the recent hypothesis that DRBs make an important contribution to dominant antiviral responses in plants. The seasonality of the expression virus-like symptoms appears to be a consequence of the dynamic interactions between antiviral factors and viral counter-defences that occur at different developmental stages of grapevine.

plant biology↗

bioRxiv2023

dsRNA-based viromics: A novel tool unveiled hidden soil viral diversity and richness

Viruses play a crucial role in agroecosystem functioning. However, few studies have examined the diversity of the soil virome, especially when it comes to RNA viruses. Despite the great progress in viral metagenomics and metatranscriptomics (metaviromics) toward RNA viruses characterization, soil RNA viruses ecology is embryonic compared to DNA viruses. We currently lack a wet lab. method to accurately unhide the true soil viral diversity. To overcome this limitation, we developed dsRNA-based methods capitalizing on our expertise in soil RNA extraction and dsRNA extraction ported from studies of phyllosphere viral diversity. This proposed method detected both RNA and DNA viruses and is proven to capture a greater soil virus diversity than existing methods, virion-associated nucleic enrichment, and metaviromics. Indeed, using this method we detected 284 novel RNA-dependent RNA polymerases and expanded the diversity of Birnaviridae and Retroviridae viral families to agricultural soil, which, to our knowledge, have never been reported in such ecosystem. The dsRNA-based method is cost-effective in terms of affordability and requirements for data processing, facilitating large-scale and high-throughput soil sample processing to unlock the potential of the soil virome and its impact on biogeochemical processes (e.g. carbon and nutrient cycling). This method can also benefit future studies of viruses in complex environments, for example, to characterize RNA viruses in the human gut or aquatic environment where RNA viruses are less studied mainly because of technical limitations.

ecology↗

bioRxiv2023

Nanovirseq: dsRNA sequencing for plant virus and viroid detection by Nanopore sequencing

Worldwide, there is a need for certified clean plant materials to limit viral diseases spread. In order to design a robust and proactive viral-like disease certification, diagnostics, and management program, it is essential to have a fast, inexpensive, and user-friendly tool. The purpose of this study was to determine whether dsRNA-based nanopore sequencing can be a reliable method for the detection of viruses and viroids in grapevines or not. Compared to direct RNA sequencing from rRNA-depleted total RNA (rdTotalRNA), direct-cDNA sequencing from dsRNA (dsRNAcD) yielded more viral reads and detected all grapevine viruses and viroids detected using Illumina MiSeq sequencing (dsRNA-MiSeq). With dsRNAcD sequencing it was possible to detect low abundance viruses (e.g., Grapevine red globe virus) where rdTotalRNA sequencing failed to detect them. Indeed, even after removing rRNA, rdTotalRNA sequencing yielded low viral read numbers. rdTotalRNA sequencing was not sensitive enough to detect all the viruses detected by dsRNA-MiSeq. In addition, there was a false positive identification of a viroid in the rdTotalRNA sequencing that was due to misannotation of a host-driven read. For quick and accurate reads classification, two different taxonomical classification workflows based on protein and nucleotide homology were evaluated in this study, namely DIAMOND&MEGAND (DIA&MEG) and Centrifuge&Recentrifuge (Cent&Rec), respectively. Virome profiles from both workflows were similar except for grapevine endophyte endornavirus (GEEV), which was only detected using DIA&MEG. However, because DIA&MEGs classification is based on protein homology, it cannot detect viroid infection despite giving more robust results. Even though Cent&Recs virus and viroid detection workflow was faster (30 minutes) than DIA&MEGs (two hours), it could not provide the details and information DIA&MEG was able to provide. As demonstrated in our study, nanopore dsRNAcD sequencing and the proposed data analysis workflows are suitable and reliable for viruses and viroids detection, especially in grapevine where viral mixed infection is common.

pathology↗

bioRxiv2022

Soil metatranscriptomics: An improved RNA extraction method toward functional analysis using nanopore direct RNA sequencing

Soil microbes play an undeniable role in sustainable agriculture, plant health, and soil management. A deeper understanding of soil microbial composition and function has been gained through next-generation sequencing. While soil metagenomics has provided valuable information about microbial diversity, issues stemming from RNA extraction, low RNA abundance in some microbial populations (e.g., viruses), and mRNA enrichment have slowed the progress of soil metatranscriptomics. A variety of soil RNA extraction methods have been developed so far. Yet none of the available protocols can obtain RNA with high quality, purity, and yield for third-generation sequencing. This latter requires RNA with high quality and large quantities (with no or low contamination, such as humic acids). Also, use of commercial kits for in-batch soil RNA extraction is quite expensive, and these commercial kits lack buffer composition details, which prevents the optimization of protocols for different soil types. An improved and cost-effective method for extracting RNAs from mineral and organic soils is presented in this paper. An acidic sodium acetate buffer and phosphate buffer with modifications to bead-beating and nucleic acid precipitation lead to higher RNA yields and quality. Using this method, we obtained almost DNA-free RNA. By using nanopores direct RNA sequencing, the extracted contamination-free RNAs were successfully sequenced. Lastly, taxonomic groups such as bacteria, fungi, archaea, and viruses were classified and profiled as well as functional annotation of the datasets was carried out using an in-house customized bioinformatics workflow.

microbiology↗