scholarly journals Whole-genome sequencing of Leptospira interrogans from southern Brazil: genetic features of a highly virulent strain

2018 ◽  
Vol 113 (2) ◽  
pp. 80-86 ◽  
Author(s):  
Sérgio Jorge ◽  
Frederico Schmitt Kremer ◽  
Natasha Rodrigues de Oliveira ◽  
Gabrielle de Oliveira Sanches Valerio Navarro ◽  
Amanda Munari Guimarães ◽  
...  
2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Chugang Mei ◽  
Hongcheng Wang ◽  
Wenjuan Zhu ◽  
Hongbao Wang ◽  
Gong Cheng ◽  
...  

2019 ◽  
Author(s):  
James M. Holt ◽  
Camille L. Birch ◽  
Donna M. Brown ◽  
Manavalan Gajapathy ◽  
Nadiya Sosonkina ◽  
...  

AbstractPurposeClinical whole genome sequencing is becoming more common for determining the molecular diagnosis of rare disease. However, standard clinical practice often focuses on small variants such as single nucleotide variants and small insertions/deletions. This leaves a wide range of larger “structural variants” that are not commonly analyzed in patients.MethodsWe developed a pipeline for processing structural variants for patients who received whole genome sequencing through the Undiagnosed Diseases Network (UDN). This pipeline called structural variants, stored them in an internal database, and filtered the variants based on internal frequencies and external annotations. The remaining variants were manually inspected and then interesting findings were reported as research variants to clinical sites in the UDN.ResultsOf 477 analyzed UDN cases, 286 cases (≈ 60%) received at least one structural variant as a research finding. The variants in 16 cases (≈ 4%) are considered “Certain” or “Highly likely” molecularly diagnosed and another 4 cases are currently in review. Of those 20 cases, at least 13 were identified originally through our pipeline with one finding leading to identification of a new disease. As part of this paper, we have also released the collection of variant calls identified in our cohort along with heterozygous and homozygous call counts. This data is available at https://github.com/HudsonAlpha/UDN_SV_export.ConclusionStructural variants are key genetic features that should be analyzed during routine clinical genomic analysis. For our UDN patients, structural variants helped solve ≈ 4% of the total number of cases (≈ 13% of all genome sequencing solves), a success rate we expect to improve with better tools and greater understanding of the human genome.


2021 ◽  
Author(s):  
Laura Pérez-Lago ◽  
Helena Martinez Lozano ◽  
Jose Antonio pajares Diaz ◽  
Arantxa Diaz Gomez ◽  
Marina Machado ◽  
...  

Abstract SARS-CoV-2 nosocomial outbreaks in the first COVID-19 wave were likely associated to a shortage of personal protective equipment and scare indications on control measures. Having covered these limitations, updates on current SARS-CoV-2 nosocomial outbreaks are required. We carried out an in-depth analysis of a 27-day nosocomial outbreak in a gastroenterology ward in our hospital, potentially involving 15 patients and three healthcare workers. Patients had stayed in one of three neighbouring rooms in the ward. The severity of the infections in six of the cases and a high fatality rate suggested the possible involvement of a single virulent strain persisting in those rooms. Whole genome sequencing of the strains from 12 patients and one healthcare worker revealed an unexpected complexity. Five different SARS-CoV-2 strains were identified, two infecting a single patient each, ruling out their relationship with the outbreak; the remaining three strains were involved in three independent overlapping limited transmission clusters with three, three, and five cases. Whole genome sequencing was key to understand the complexity of this outbreak.


BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Li Yi ◽  
Menggen Dalai ◽  
Rina Su ◽  
Weili Lin ◽  
Myagmarsuren Erdenedalai ◽  
...  

Author(s):  
Olha Konstantynovska ◽  
Petro Poteiko ◽  
Oleksandr Zinenko ◽  
Anton Rohozhyn ◽  
Ivan Hrek ◽  
...  

2021 ◽  
Vol 26 (12) ◽  
Author(s):  
Andreza Francisco Martins ◽  
Alexandre Prehn Zavascki ◽  
Priscila Lamb Wink ◽  
Fabiana Caroline Zempulski Volpato ◽  
Francielle Liz Monteiro ◽  
...  

The emergence of SARS-CoV-2 P.1 lineage coincided with a surge in hospitalisations in the North region of Brazil. In the South region’s Rio Grande do Sul state, severe COVID-19 case numbers rose 3.8 fold in February 2021. During that month, at a COVID-19 referral hospital in this state, whole-genome sequencing of a subset of cases’ specimens (n = 27) revealed P.1 lineage SARS-CoV-2 in most (n = 24). Findings raise concerns regarding a possible association between lineage P.1 and rapid case and hospitalisation increases.


2017 ◽  
Vol 5 (35) ◽  
Author(s):  
Hidenori Yoshizawa ◽  
Daisuke Motooka ◽  
Ryuichi Katada ◽  
Yuki Matsumoto ◽  
Shota Nakamura ◽  
...  

ABSTRACT Streptococcus tigurinus was recently described as a novel species, and some strains are highly virulent. We detected S. tigurinus in infected tissue sampled by necropsy. In order to characterize and confirm the virulence of this species, whole-genome sequencing of the pure cultured bacterium was performed. We found that the strain has specific and unique genetic elements contained in highly virulent strains of S. tigurinus.


2021 ◽  
Author(s):  
Andreza Francisco Martins ◽  
Alexandre Prehn Zavascki ◽  
Priscila Lamb Wink ◽  
Fabiana Caroline Zempulski Volpato ◽  
Francielle Liz Monteiro ◽  
...  

AbstractThe emergence SARS-CoV-2 P.1 lineage has been coincidental with a rapid growth in hospitalization in the northern region of Brazil. An exponential growth of severe COVID-19 occurred in Rio Grande do Sul state, Southern Brazil in February-2021. Whole-genome sequencing revealed that the previously undetected P.1 lineage accounted for 88.9% of specimens collected from patients at a referral COVID-19 hospital. These findings raise concerns regarding a possible association between lineage P.1 and rapid growth in cases and hospitalizations.


Nature ◽  
2003 ◽  
Vol 422 (6934) ◽  
pp. 888-893 ◽  
Author(s):  
Shuang-Xi Ren ◽  
Gang Fu ◽  
Xiu-Gao Jiang ◽  
Rong Zeng ◽  
You-Gang Miao ◽  
...  

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