وضعیت: در حال داوری
نویسندگان:
A. Poursalavati🧬, I. Laforest-Lapointe, M.L. Fall
واژه‌های کلیدی:
virome analysis, bioinformatics pipeline, interactive dashboard, machine learning
دسترسی انلاین: سایت MetaViralyst | اپلیکیشن Explorer

MetaViralyst یک اکوسیستم آنالیز جامع برای پر کردن شکاف بین داده‌های پیچیده وایرومیک و بینش‌های زیست‌شناختی قابل استفاده است. شامل یک پایپ‌لاین خودکار Snakemake و یک اپلیکیشن وب تعاملی (MetaViralyst-Explorer) می‌شود که از طریق Docker یا Apptainer قابل استقرار است.

وضعیت: چاپ شده
نویسندگان:
A. Poursalavati🧬, I. Laforest-Lapointe, M.L. Fall
واژه‌های کلیدی:
soil virome, microbiome, DNA/RNA extraction, wet-lab protocol, cellulose chromatography
دسترسی انلاین: Microbiology Spectrum | protocols.io

SS-VIME یک پروتکل استخراج نوآورانه است که امکان جداسازی همزمان DNA و dsRNA از ماتریس‌های پیچیده را فراهم می‌کند. این پروتکل با کنترل‌های اسپایک شده اعتبارسنجی شده و بر روی نمونه های میدانی متنوع اعمال شده است.

وضعیت: در حال ارسال
نویسندگان:
A. Sidibé, A. Poursalavati🧬, P. Lemoyne, M.L. Fall
واژه‌های کلیدی:
ssRNA virus, viral evolution, grapevine, host-virus interaction
دسترسی انلاین: TBD

این مطالعه دینامیک تکاملی درون‌میزبانی و بین‌میزبانی دو ژنوم ویروسی ssRNA که انگور را آلوده می‌کنند بررسی می‌کند.

وضعیت: پذیرفته شده
نویسندگان:
S. Drury, A. Poursalavati🧬, P. Moffett, O. Carisse, M.L. Fall
واژه‌های کلیدی:
mycovirome, Botrytis cinerea, plant pathology
دسترسی انلاین: Phytobiomes Journal

این مطالعه مایکوویروم متنوع مرتبط با ایزوله‌های Botrytis cinerea در محصولات کشاورزی مختلف را توصیف می‌کند.

وضعیت: چاپ شده
نویسندگان:
V.J. Javaran, A. Poursalavati🧬, P. Lemoyne, J. Vivancos, M.L. Fall
واژه‌های کلیدی:
plant virus, genomic characterization, tomato, Spinach latent virus
دسترسی انلاین: New Disease Report

این گزارش اولین شناسایی و توصیف کامل ژنومی ویروس Spinach latent را در گیاهان گوجه‌فرنگی در کانادا شرح می‌دهد.

وضعیت: پیش‌چاپ
نویسندگان:
M.L. Fall, A. Poursalavati🧬, A. Sidibé, D. Xu, P. Lemoyne, G.S. Martins, V.J. Javaran, P. Moffett, C. Odile
واژه‌های کلیدی:
virome, RNAi profiling, seasonality of virus-like symptoms, transcriptomics, metabolomics, host-virome interaction
دسترسی انلاین: bioRxiv

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 development 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 grapevine 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 plant’s antiviral 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.

وضعیت: پیش‌چاپ
نویسندگان:
A. Poursalavati🧬, A. Larafa, M.L. Fall
واژه‌های کلیدی: RNA viruses, soil virome, RdRps evolution, dsRNA, Viromics, Metaviromics
دسترسی انلاین: bioRxiv

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.

وضعیت: چاپ شده
نویسندگان:
V.J. Javaran, A. Poursalavati🧬, P. Lemoyne, D.T. Ste-Croix, P. Moffett, M.L. Fall
واژه‌های کلیدی:
dsRNA, total RNAs, grapevine viruses, virus detection, viroid, nanopore sequencing, Illumina Miseq sequencing, plant pathology
دسترسی انلاین: Frontiers in Microbiology

There is a global need for identifying viral pathogens, as well as for providing certified clean plant materials, in order to limit the spread of viral diseases. A key component of management programs for viral-like diseases is having a diagnostic tool that is quick, reliable, inexpensive, and easy to use. We have developed and validated a dsRNA-based nanopore sequencing protocol as a reliable method for detecting viruses and viroids in grapevines. We compared our method, which we term direct-cDNA sequencing from dsRNA (dsRNAcD), to direct RNA sequencing from rRNA-depleted total RNA (rdTotalRNA), and found that it provided more viral reads from infected samples. Indeed, dsRNAcD was able to detect all of the viruses and viroids detected using Illumina MiSeq sequencing (dsRNA-MiSeq). Furthermore, dsRNAcD sequencing was also able to detect low-abundance viruses that rdTotalRNA sequencing failed to detect. Additionally, rdTotalRNA sequencing resulted in a false-positive viroid identification due to the misannotation of a host-driven read. Two taxonomic classification workflows, DIAMOND & MEGAN (DIA & MEG) and Centrifuge & Recentrifuge (Cent & Rec), were also evaluated for quick and accurate read classification. Although the results from both workflows were similar, we identified pros and cons for both workflows. Our study shows that dsRNAcD sequencing and the proposed data analysis workflows are suitable for consistent detection of viruses and viroids, particularly in grapevines where mixed viral infections are common.

وضعیت: چاپ شده
نویسندگان:
A. Poursalavati🧬, V.J. Javaran, I. Laforest-Lapointe, M.L. Fall
واژه‌های کلیدی:
dsRNA, total RNAs, grapevine viruses, virus detection, viroid, nanopore sequencing, Illumina Miseq sequencing, plant pathology
دسترسی انلاین: Phytobiomes

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. Although 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 messenger RNA enrichment have slowed the progress of soil metatranscriptomics. A variety of soil RNA extraction methods have been developed thus far yet none of the available protocols can obtain RNA with high quality, purity, and yield for third-generation sequencing. The 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 article. 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 nanopore’s direct RNA sequencing, the extracted contamination-free RNAs were successfully sequenced. Finally, taxonomic groups such as bacteria, fungi, archaea, and viruses were classified and profiled, and functional annotation of the datasets was carried out using an in-house customized bioinformatics workflow.

وضعیت: چاپ شده
نویسندگان:
A. Poursalavati🧬, S. Rashidi-Monfared, A. Ebrahimi
واژه‌های کلیدی:
RNA-Seq, Transcriptomics, Flavonoid Pathway, qRT-PCR, HPLC
دسترسی انلاین: Scientific Reports

Nowadays, with the development and advancement of next-generation sequencing technologies, a new path has been provided for transcriptomic studies. In this study, the transcriptome of Dracocephalum kotschyi Boiss., as an endemic and endangered plant which is contained a large amount of valuable secondary metabolites with antioxidant and anticancer properties, was sequenced. Then functional annotation and gene ontology analysis for 165,597 assembled transcripts were performed, most were associated with the metabolic pathways. This might be because there are various active biochemical pathways in this plant. Furthermore, after comprehensive transcript annotation, the putative genes involved in the main metabolic pathways of D. kotschyi were identified. Then, the biosynthetic pathway of its valuable methoxylated flavones was proposed. Finally, the accumulations of important methoxylated-flavone metabolites in three different tissues were quantified by HPLC. The relative expression of the genes involved in the proposed pathway was investigated by qRT-PCR, which indicated high expression levels in the bud tissue. The present results may lead to the design strategies to preserve the genetic diversity of endangered D. kotschyi plants and apply the new methods for engineering its valuable methoxylated-flavones pathway.

وضعیت: چاپ شده
نویسندگان:
A. Ebrahimi, A. Poursalavati🧬, M. Mohamadi-Esboei, S. Rashidi-Monfared, M. Sahebi, M. Amerian, H. Hassaneian-Khoshro
واژه‌های کلیدی:
Mulberry, Multivariate analysis, Population analysis, Physiological and chemical traits
دسترسی انلاین: Euphytica

Mulberry (Morus spp.) has always been a favorite plant of gardners, farmers and researchers because of its edible fruits, medicinal properties and timber. We have investigated the morphological, physiological and chemical variabilities of white (Morus alba), red (Morus rubra) and black (Morus nigra) mulberry genotypes grown in four regions of Iran. Among the genotypes assessed, fresh fruit weight varied between 3.2 and 87.9 g, total chlorophyll ranged from 4.3 to 13.4 mg/g fresh weight and vitamin C content ranged from 5.5 to 64 mg per 100 g. The highest and lowest antioxidant activity was 275 and 1575 mg ascorbic acid equivalent (AAE) 100 g−1 fresh weight, respectively. The population analysis indicated that the Gorgan population, in terms of morphological and physiological traits, and Shahrood population, in terms of chemical traits, had the highest coefficient of variation. Correlation analysis showed that fruit size and taste were positively correlated with foliar traits and that phenolic content was positively correlated with both antioxidant activity and total soluble solids (TSS). Of the indices assessed, the Berger–Parker index was the most valuable because it was able to identify significant differences between populations in terms of the studied traits. The results of this study confirm that Iran is one of the mulberry phenotypic and biochemical diversity areas and provide information of possible use for the development, conservation and selection of parents for cross-combinations in breeding programs.

وضعیت: چاپ شده
نویسندگان:
پورصلواتی🧬، ابراهیمی، رشیدی منفرد
واژه‌های کلیدی:
Trinity, SOAPdenovo-Trans, Oases-velvet, Trans-ABySS, Gene Ontology
دسترسی انلاین: پژوهش های سلولی و مولکولی(مجله زیست شناسی ایران)

با پیشرفتهای سریع در تکنولوژی توالی‌یابی نسل جدید امروزه این تکنیک به ابزاری قدرتمند و کم‌هزینه برای مطالعات در سطح ترنسکریپتوم تبدیل شده است. سرهمبندی داده‌های حاصل از توالی‌یابی نسل جدید، به صورت de novo باعث شکل‌گیری مسیری نوین در مطالعه و شناخت گونه‌های فاقد ژنوم مرجع گردیده است. با گسترش این تکنولوژی و افزایش روز افزون نرم‌افزارهای سرهمبندی، انتخاب مسیر و گزینش نرم‌افزار برتر برای سرهمبندی داده‌های حاصل از توالی‌یابی ترنسکریپتوم به عنوان چالشی برای زیست‌شناسان در این زمینه به شمار می‌آید. در این پژوهش برای اولین بار داده‌های حاصل از توالی‌یابی ترنسکریپتوم زرین‌گیاه با استفاده از نرم‌افزارهای Oases-velvet، SOAPdenovo-Trans، Trans-ABySS و Trinity به دو صورت مختلف با استفاده از متغیر K=25 و K=32 به منظور دستیابی به مسیر مناسب و نرم‌افزار برتر در این زمینه مورد ارزیابی و آنالیز قرار گرفت. نتایج حاصل از سرهمبندی براساس معیارهای متعددی مقایسه شده که گویای برتری Trinity و Trans-ABySS می‌باشد، در پایان خروجی حاصل از بهترین سرهمبندی به منظور بررسی فراوانی ایزوفرمهای مختلف و آنالیز هستی‌شناسی (Gene Ontology) مورد ارزیابی قرار گرفت. باتوجه به خواص دارویی و مقادیر بالای متابولیتهای ثانویه در این گیاه؛ بیشترین فراوانی مشاهده شده در بخش فرآیندهای زیستی، مربوط به فعالیتهای متابولیتی (Metabolic Process) بود.