scholarly journals Evaluation of direct metagenomics and target enriched approaches for high-throughput sequencing of field rabies viruses

2019 ◽  
Vol 63 (4) ◽  
pp. 471-479
Author(s):  
Anna Orłowska ◽  
Ewelina Iwan ◽  
Marcin Smreczak ◽  
Jerzy Rola

AbstractIntroductionHigh-throughput sequencing (HTS) identifies random viral fragments in environmental samples metagenomically. High reliability gains it broad application in virus evolution, host-virus interaction, and pathogenicity studies. Deep sequencing of field samples with content of host genetic material and bacteria often produces insufficient data for metagenomics and must be preceded by target enrichment. The main goal of the study was the evaluation of HTS for complete genome sequencing of field-case rabies viruses (RABVs).Material and MethodsThe material was 23 RABVs isolated mainly from red foxes and one European bat lyssavirus-1 isolate propagated in neuroblastoma cells. Three methods of RNA isolation were tested for the direct metagenomics and RABV-enriched approaches. Deep sequencing was performed with a MiSeq sequencer (Illumina) and reagent v3 kit. Bioinformatics data were evaluated by Kraken and Centrifuge software and de novo assembly was done with metaSPAdes.ResultsTesting RNA extraction procedures revealed the deep sequencing scope superiority of the combined TRIzol/column method. This HTS methodology made it possible to obtain complete genomes of all the RABV isolates collected in the field. Significantly greater rates of RABV genome coverages (over 5,900) were obtained with RABV enrichment. Direct metagenomic studies sequenced the full length of 6 out of 16 RABV isolates with a medium coverage between 1 and 71.ConclusionDirect metagenomics gives the most realistic illustration of the field sample microbiome, but with low coverage. For deep characterisation of viruses, e.g. for spatial and temporal phylogeography during outbreaks, target enrichment is recommended as it covers sequences much more completely.

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Rachelle Bester ◽  
Glynnis Cook ◽  
Johannes H. J. Breytenbach ◽  
Chanel Steyn ◽  
Rochelle De Bruyn ◽  
...  

Abstract Background High-throughput sequencing (HTS) has been applied successfully for virus and viroid discovery in many agricultural crops leading to the current drive to apply this technology in routine pathogen detection. The validation of HTS-based pathogen detection is therefore paramount. Methods Plant infections were established by graft inoculating a suite of viruses and viroids from established sources for further study. Four plants (one healthy plant and three infected) were sampled in triplicate and total RNA was extracted using two different methods (CTAB extraction protocol and the Zymo Research Quick-RNA Plant Miniprep Kit) and sent for Illumina HTS. One replicate sample of each plant for each RNA extraction method was also sent for HTS on an Ion Torrent platform. The data were evaluated for biological and technical variation focussing on RNA extraction method, platform used and bioinformatic analysis. Results The study evaluated the influence of different HTS protocols on the sensitivity, specificity and repeatability of HTS as a detection tool. Both extraction methods and sequencing platforms resulted in significant differences between the data sets. Using a de novo assembly approach, complemented with read mapping, the Illumina data allowed a greater proportion of the expected pathogen scaffolds to be inferred, and an accurate virome profile was constructed. The complete virome profile was also constructed using the Ion Torrent data but analyses showed that more sequencing depth is required to be comparative to the Illumina protocol and produce consistent results. The CTAB extraction protocol lowered the proportion of viroid sequences recovered with HTS, and the Zymo Research kit resulted in more variation in the read counts obtained per pathogen sequence. The expression profiles of reference genes were also investigated to assess the suitability of these genes as internal controls to allow for the comparison between samples across different protocols. Conclusions This study highlights the need to measure the level of variation that can arise from the different variables of an HTS protocol, from sample preparation to data analysis. HTS is more comprehensive than any assay previously used, but with the necessary validations and standard operating procedures, the implementation of HTS as part of routine pathogen screening practices is possible.


Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 753
Author(s):  
Miroslav Glasa ◽  
Richard Hančinský ◽  
Katarína Šoltys ◽  
Lukáš Predajňa ◽  
Jana Tomašechová ◽  
...  

In recent years, high throughput sequencing (HTS) has brought new possibilities to the study of the diversity and complexity of plant viromes. Mixed infection of a single plant with several viruses is frequently observed in such studies. We analyzed the virome of 10 tomato and sweet pepper samples from Slovakia, all showing the presence of potato virus Y (PVY) infection. Most datasets allow the determination of the nearly complete sequence of a single-variant PVY genome, belonging to one of the PVY recombinant strains (N-Wi, NTNa, or NTNb). However, in three to-mato samples (T1, T40, and T62) the presence of N-type and O-type sequences spanning the same genome region was documented, indicative of mixed infections involving different PVY strains variants, hampering the automated assembly of PVY genomes present in the sample. The N- and O-type in silico data were further confirmed by specific RT-PCR assays targeting UTR-P1 and NIa genomic parts. Although full genomes could not be de novo assembled directly in this situation, their deep coverage by relatively long paired reads allowed their manual re-assembly using very stringent mapping parameters. These results highlight the complexity of PVY infection of some host plants and the challenges that can be met when trying to precisely identify the PVY isolates involved in mixed infection.


Gene ◽  
2013 ◽  
Vol 528 (2) ◽  
pp. 347-351 ◽  
Author(s):  
Makio Kihana ◽  
Fuzuki Mizuno ◽  
Rikai Sawafuji ◽  
Li Wang ◽  
Shintaroh Ueda

Author(s):  
Yuansheng Liu ◽  
Xiaocai Zhang ◽  
Quan Zou ◽  
Xiangxiang Zeng

Abstract Summary Removing duplicate and near-duplicate reads, generated by high-throughput sequencing technologies, is able to reduce computational resources in downstream applications. Here we develop minirmd, a de novo tool to remove duplicate reads via multiple rounds of clustering using different length of minimizer. Experiments demonstrate that minirmd removes more near-duplicate reads than existing clustering approaches and is faster than existing multi-core tools. To the best of our knowledge, minirmd is the first tool to remove near-duplicates on reverse-complementary strand. Availability and implementation https://github.com/yuansliu/minirmd. Supplementary information Supplementary data are available at Bioinformatics online.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1383-1383
Author(s):  
Kezhi Huang ◽  
Min Yang ◽  
Zengkai Pan ◽  
Florian H. Heidel ◽  
Michaela Scherr ◽  
...  

Abstract Using high-throughput sequencing, an increased number of gene mutations has been identified in cancer. Among the up to hundreds of acquired mutations in cancer clones, only a few cooperating mutations are believed to be needed for initiation of the malignant disease. Recently, we reported a single amino acid substitution at position 676 (N676K) within the FLT3 kinase domain as the sole cause of resistance to PKC412 in one patient with FLT3-ITD associated acute myeloid leukemia (AML). The FLT3-N676K mutation was more recently identified independently in up to 6% of de novo AML patients with inv(16) by other groups. As FLT3-TKD mutations are strongly associated with inv(16) in AML and particularly FLT3-N676K was found almost exclusively in AML patients with inv(16), this prompted us to investigate the transforming activity of FLT3-N676K and to test whether FLT3-N676K would cooperate with inv(16) to promote AML. First, we analyzed in vivo leukemogenesis mediated by FLT3-N676K. Retroviral expression of FLT3-N676K in myeloid 32D cells induced AML in syngeneic C3H/HeJ mice (n=11/13, latency ~8 weeks), with a transforming activity similar to FLT3-ITD (n=8/8), FLT3-TKD D835Y (n=8/9), and FLT3-ITD-N676K (n=9/9) mutations. Three out of 14 C57BL/6J mice transplanted with FLT3-N676K-transduced primary lineage negative (Lin-) bone marrow cells died of acute leukemia (latency of 68, 77, and 273 days), while none of 16 animals in the control groups including FLT3-ITD and CBFß-SMMHC developed any hematological malignancy. Secondly, co-expression of FLT3-N676K and CBFß-SMMHC did not promote acute leukemia in 3 independent experiments using C3H/HeJ and C57BL/6J mice (n=16). So far only 1 out of 11 C57BL/6J mice co-expressing FLT3-N676K and CBFß-SMMHC developed acute leukemia (AML with latency of 166 days). In comparison with FLT3-ITD, FLT3-N676K tended to result in stronger phosphorylation of FLT3, MAPK and AKT, and diseased animals carrying FLT3-N676K demonstrated much lower frequency of leukemic stem cells in the majority of analyzed cases. Importantly, leukemic cells co-expressing FLT3-N676K and CBFß-SMMHC were still highly sensitive to the FLT3 inhibitor AC220. Taken together, we show that FLT3-N676K mutant is potent to transform murine hematopoietic stem/progenitor cells in vivo independently of the inv(16) chimeric gene CBFB-MYH11. This is the first report of acute leukemia induced by an activating FLT3 mutation in C57BL/6J mice. Moreover, our data suggest that targeting FLT3-N676K mutation may be an attractive treatment option for FLT3-N676K-positive patients without concurrent ITD. Our data emphasize more careful analysis of the cooperating network of mutations identified in AML by high-throughput sequencing. This work was supported by DJCLS (grant: 13/22) and the Deutsche Forschungsgemeinschaft (grant: Li 1608/2-1). KH and ZP were supported by the China Scholarship Council (2011638024 and 201406100008). Disclosures Heidel: Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Lasse Vinner ◽  
Tobias Mourier ◽  
Jens Friis-Nielsen ◽  
Robert Gniadecki ◽  
Karen Dybkaer ◽  
...  

Viruses ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1867
Author(s):  
Ziyi Wang ◽  
Achal Neupane ◽  
Jiuhuan Feng ◽  
Connor Pedersen ◽  
Shin-Yi Lee Marzano

Sunflowers (Helianthus annuus L.) are susceptible to multiple diseases in field production. In this study, we collected diseased sunflower leaves in fields located in South Dakota, USA, for virome investigation. The leaves showed visible symptoms on the foliage, indicating phomopsis and rust infections. To identify the viruses potentially associated with the disease diagnosed, symptomatic leaves were obtained from diseased plants. Total RNA was extracted corresponding to each disease diagnosed to generate libraries for paired-end high throughput sequencing. Short sequencing reads were assembled de novo and the contigs with similarities to viruses were identified by aligning against a custom protein database. We report the discovery of two novel mitoviruses, four novel partitiviruses, one novel victorivirus, and nine novel totiviruses based on similarities to RNA-dependent RNA polymerases and capsid proteins. Contigs similar to bean yellow mosaic virus and Sclerotinia sclerotiorum hypovirulence-associated DNA virus were also detected. To the best of our knowledge, this is the first report of direct metatranscriptomics discovery of viruses associated with fungal infections of sunflowers bypassing culturing. These newly discovered viruses represent a natural genetic resource from which we can further develop potential biopesticide to control sunflower diseases.


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