scholarly journals Unusual SARS-CoV-2 intra-host diversity reveals lineages superinfection

Author(s):  
Filipe Zimmer Dezordi ◽  
Paola Cristina Resende ◽  
Felipe Gomes Naveca ◽  
Valdinete Alves do Nascimento ◽  
Victor Costa de Souza ◽  
...  

The SARS-CoV-2 has infected almost 200 million people worldwide by July 2021 and the pandemic has been characterized by infection waves of viral lineages showing distinct fitness profiles. The simultaneous infection of a single individual by two distinct SARS-CoV-2 lineages provides a window of opportunity for viral recombination and the emergence of new lineages with differential phenotype. Several hundred SARS-CoV-2 lineages are currently well characterized but two main factors have precluded major coinfection/codetection analysis thus far: i) the low diversity of SARS-CoV-2 lineages during the first year of the pandemic which limited the identification of lineage defining mutations necessary to distinguish coinfecting viral lineages; and the ii) limited availability of raw sequencing data where abundance and distribution of intrasample/intrahost variability can be accessed. Here, we have put together a large sequencing dataset from Brazilian samples covering a period of 18 May 2020 to 30 April 2021 and probed it for unexpected patterns of high intrasample/intrahost variability. It enabled us to detect nine cases of SARS-CoV-2 coinfection with well characterized lineage-defining mutations. In addition, we matched these SARS-CoV-2 coinfections with spatio-temporal epidemiological data confirming their plausibility with the co-circulating lineages at the timeframe investigated. These coinfections represent around 0.61% of all samples investigated. Although our data suggests that coinfection with distinct SARS-CoV-2 lineages is a rare phenomenon, it is likely an underestimation and coinfection rates warrants further investigation.

2021 ◽  
Vol 18 (6) ◽  
pp. 7685-7710
Author(s):  
Yukun Tan ◽  
◽  
Durward Cator III ◽  
Martial Ndeffo-Mbah ◽  
Ulisses Braga-Neto ◽  
...  

<abstract><p>Mathematical models are widely recognized as an important tool for analyzing and understanding the dynamics of infectious disease outbreaks, predict their future trends, and evaluate public health intervention measures for disease control and elimination. We propose a novel stochastic metapopulation state-space model for COVID-19 transmission, which is based on a discrete-time spatio-temporal susceptible, exposed, infected, recovered, and deceased (SEIRD) model. The proposed framework allows the hidden SEIRD states and unknown transmission parameters to be estimated from noisy, incomplete time series of reported epidemiological data, by application of unscented Kalman filtering (UKF), maximum-likelihood adaptive filtering, and metaheuristic optimization. Experiments using both synthetic data and real data from the Fall 2020 COVID-19 wave in the state of Texas demonstrate the effectiveness of the proposed model.</p></abstract>


1999 ◽  
Vol 37 (12) ◽  
pp. 4156-4157 ◽  
Author(s):  
Marion Pavlic ◽  
Franz Allerberger ◽  
Manfred P. Dierich ◽  
Wolfgang M. Prodinger

An important assumption for DNA fingerprinting ofMycobacterium tuberculosis is that patients are infected with only one strain at a time. Nonetheless, we demonstrate a case of simultaneous infection with two drug-susceptible strains of M. tuberculosis in an immunocompetent patient by IS6110restriction fragment length polymorphism and spoligotyping. Epidemiological data prove the patient's involvement in two independent clusters. Thus, double infections should be suspected with fingerprints showing divergent band intensities.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi173-vi173
Author(s):  
Philip Schmassmann ◽  
Tomás A Martins ◽  
Michal Stanczak ◽  
Marie-Françoise Ritz ◽  
Tala Shekarian ◽  
...  

Abstract Recently, ‘don’t eat me’-signals like CD47 have emerged as novel innate immune checkpoints, enabling cancer cells to evade clearance by phagocytes such as monocyte-derived macrophages (MDM) or microglia (MG). Here, we aim at defining the role of inhibitory Siglec-9 in human and its mouse homologue Siglec-E in MG-centered immunotherapy against GBM. TCGA RNA-sequencing data revealed a significant correlation between high expression of immunoinhibitory SIGLEC9 and poor survival in GBM patients (log-rank p = 0.02). Siglec-E blockade increased murine MG mediated GBM cell in vitro phagocytosis (normalized phagocytosis of 1.00 in isotype vs. 1.76 in anti-Siglec-E antibody, p &lt; 0.001). By employing a CT-2A orthotopic GBM mouse model with MG-specific spatio-temporal deletion of Siglece (Sall1 CreERT2 x Siglece flox ), we observed high MG-proliferation upon Siglec-E knockdown (Ki-67+ MG 14.8% in Cre- vs. 34.9% in Cre+, p &lt; 0.0001) accompanied by an enhanced microglial GBM-cell uptake (5.6% in Cre- vs. 12.3% in Cre+, p &lt; 0.001). This beneficial response was counteracted by an accentuated influx of pro-tumorigenic MDM in the Cre+ group (CD163high CD86low MDM of total MDM 47.1% in Cre- vs. 65.3% in Cre+, p = 0.002), which prevented an efficient adaptive anti-tumor immune response and survival benefit. Currently, we are investigating the cross-talk between GBM-associated MG and MDM upon Siglec-E knockdown by scRNAseq of the tumor-infiltrating immune compartment, including TCR-clonotype tracking. By genetically targeting sialic acids, the ligand for Siglec receptors, on CT-2A cells (GNE-KO), we observed a strong innate and adaptive immune response with less exhausted tumor-infiltrating CD8+ T-cells (14.8% in WT vs. 5.9% in GNE-KO, p = 0.003), which resulted in a prolonged survival (30d in WT vs. 41d post-tumor-injection in GNE-KO, p = 0.03). These data identify the sialic-acid-Siglec-E pathway as an anti-phagocytic signal in a pre-clinical GBM model, and demonstrate its therapeutic potential in GBM immunotherapy.


2020 ◽  
Author(s):  
Konrad Weber ◽  
Lucasz Krych ◽  
Meike Burow

Abstract Plants coordinate metabolic and developmental processes with the help of genetically variable, interconnected regulatory networks. The GSL-AOP locus in Arabidopsis thaliana encodes enzymes involved in the biosynthesis of glucosinolate defense compounds and has been attributed regulatory functions e.g. in flowering time control. To correlate genetic and phenotypic variation linked to GSL-AOP, we conducted a phylogenetic analysis across 1135 accessions and found that the available short-read sequencing data does not fully resolve the structural diversity in the locus. We analyzed a selection of 74 accessions for glucosinolate profiles and flowering time under different conditions and acquired long-read sequence information for glucosinolate and flowering time loci. Especially in the Caucasus region, structural variation in GSL-AOP was associated with conditional, tissue-specific glucosinolate profiles. Variation in FLC among the Caucasian accessions correlated with variation in the flowering time response to vernalization, suggesting that local adaptation has shaped defense and development in an orchestrated manner.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 374-374 ◽  
Author(s):  
Chase Miller ◽  
Jennifer Yesil ◽  
Mary Derome ◽  
Andrea Donnelly ◽  
Jean Marrian ◽  
...  

Abstract Fluorescent in situ hybridization (FISH) is commonly used in the multiple myeloma field to subtype and risk-stratify patients. There are many benefits to FISH based assays, which are widely used around the world and represent true single cell assays. However, there are significant discrepancies in the specific assays, utilization of reflex testing strategies, and enumeration requirements between clinical centers. By comparison next-generation sequencing tests can be designed to simultaneously detect the copy number abnormalities and translocations detected by clinical FISH along with gene mutations that cannot be detected by FISH. As part of the MMRF CoMMpass Study we have compared the results attained using clinical FISH assays compared to sequencing based FISH (Seq-FISH) results. Clinical FISH reports from a random subset of 339 CoMMpass patients were extraction by a single individual based on the ISCN result lines of each report. To validate the accuracy of the central data extraction, two independent cross validations of 10% of the cohort were performed, after which our data entry error rate is expected to be less than 0.348%. The Seq-FISH results were extracted from the whole genome sequencing data available from each patient using a rapid and fully automated informatics process and the results were cross-validated using the matching exome sequencing data for copy number abnormalities and by RNA sequencing data for dysregulated immunoglobulin translocation target genes. There were 230 patients with clinical FISH and Seq-FISH results. In this cohort, 151 translocations were identified by Seq-FISH. This includes translocations to MYC, CCND2, MAFA, and those involving IgK and IgL, which are not tested by clinical FISH. After filtering non-tested translocations there are 118 translocations identified by Seq-FISH. Only 97 of these translocations had a clinical FISH assay performed with 89 (91.75%) of these being detected by clinical FISH, yet spiked target gene expression was observed in all 89 cases by RNA sequencing. Conversely, 93 translocations were called by clinical FISH, of these 89 were called by Seq-FISH(95.7%). Of the 4 translocations only called by clinical FISH, 3 were t(4;14) and 1 was a t(11;14). In two of these t(4;14) cases we did observe spiked target gene expression by RNA sequencing, suggesting these are false negatives by Seq-FISH. However, the remaining two events appear to be false positive clinical FISH results. The t(4;14) event was only observed in 1/200 cells and a co-occuring t(11;14) was also called, which was confirmed by Seq-FISH and spiked gene expression. Similarly, the one t(11;14) was observed in 3/56 cells but a del13q14 was seen in 47/50 cells, unfortunately RNA sequencing data is not available to cross-validate in this case. Plasma cell enrichment or identification is commonly used to prepare myeloma samples for FISH because even in myeloma, the total plasma cell percentage can be low (median 8.3% in the MMRF CoMMpass Baseline Cohort). Therefore, performing FISH on a sample without performing purification or plasma cell identification will indiscriminately assay non-plasma cells and limit the efficacy of the assay. We looked at the two most common translocations in myeloma, t(4;14) and t(11;14), to test the effect of enrichment on sensitivity. Sensitivity was higher for both sets of translocations in the enriched cohort. There was 1 false negative in the enriched population, yielding sensitivities of 100% (32/32) and 95%(19/20) for CCND1 and WHSC1 respectively. For those reports that did not indicate enrichment was performed the observed sensitivities were 86.36% (19/22) and 92.86% (13/14). Seq-FISH identified almost all of the translocations called by clinical FISH and simultaneously; it identified 30 translocations missed by clinical FISH. The translocations that were not reported by clinical FISH can be attributed to a mixture of the correct assay not being performed and the translocation being missed even though the assay was performed. We believe that Seq-FISH is a viable alternative to clinical FISH, with similar specificity and greater sensitivity. It is important to note that a single Seq-FISH assay is sufficient to investigate all translocations, while each translocation must be investigated separately with clinical FISH. As such, Seq-FISH obviates the concern that a translocation would be missed because the correct assay was not performed. Disclosures McBride: Instat: Employment.


Author(s):  
A. J. Southward ◽  
Necla Demir

An area in the English Channel of 20 × 40 nautical miles, centred on the Plymouth routine stations L, L and E, was sampled at almost monthly intervals from August 1969 to November 1970, using an improved version of the 1 m net towed at 4 knots on an oblique path. The area includes an inshore region where depths are about 20 fm (37 m) and salinities 35·0‰ or less, and an offshore region with depths over 40 fm (74 m), where salinities can exceed 35·3·. During the first year the offshore region was characterized by water of south-western origin, and temperatures were higher than in the following year when north-western plankton was more in evidence.


2015 ◽  
Vol 112 (33) ◽  
pp. 10551-10556 ◽  
Author(s):  
Laurent Hébert-Dufresne ◽  
Benjamin M. Althouse

We investigate the impact of contact structure clustering on the dynamics of multiple diseases interacting through coinfection of a single individual, two problems typically studied independently. We highlight how clustering, which is well known to hinder propagation of diseases, can actually speed up epidemic propagation in the context of synergistic coinfections if the strength of the coupling matches that of the clustering. We also show that such dynamics lead to a first-order transition in endemic states, where small changes in transmissibility of the diseases can lead to explosive outbreaks and regions where these explosive outbreaks can only happen on clustered networks. We develop a mean-field model of coinfection of two diseases following susceptible-infectious-susceptible dynamics, which is allowed to interact on a general class of modular networks. We also introduce a criterion based on tertiary infections that yields precise analytical estimates of when clustering will lead to faster propagation than nonclustered networks. Our results carry importance for epidemiology, mathematical modeling, and the propagation of interacting phenomena in general. We make a call for more detailed epidemiological data of interacting coinfections.


2013 ◽  
Vol 7 (4) ◽  
pp. e2145 ◽  
Author(s):  
Jean Gaudart ◽  
Stanislas Rebaudet ◽  
Robert Barrais ◽  
Jacques Boncy ◽  
Benoit Faucher ◽  
...  

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