scholarly journals Next generation whole genome sequencing of Plasmodium falciparum using NextSeq500 technology in India

2016 ◽  
Author(s):  
Alassane Mbengue ◽  
Pragya Namdev ◽  
Tarkeshwar Kumar ◽  
Kasturi Haldar ◽  
Souvik Bhattacharjee
Keyword(s):  
Plasmodium Falciparum ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Immune Evasion ◽  
Malaria Elimination ◽  
Protozoan Parasite ◽  
Amplicon Sequencing ◽  
Whole Genome ◽  
Next Generation ◽  
New Genes

AbstractPlasmodium falciparum is a protozoan parasite that causes the deadliest form of human malaria. Although, malaria burdens worldwide have decreased substantially over the last decade (WHO, 2014), genetic variation and adaptation by parasite strains against drugs and vaccines present significant challenges for the elimination of malaria (Ariey et al., 2014; Neafsey et al., 2015). India has formally launched a malaria elimination campaign (NVBDCP, 2016). Therefore, early in-country detection of drug resistance and/or immune evasion will be important for the program. Presently, the majority of surveillance methods in India detect a limited number of known polymorphisms (Campino et al., 2011; Chatterjee et al., 2016; Daniels et al., 2008; Mishra et al., 2015; Neafsey et al., 2012; Neafsey et al., 2008). A recently reported amplicon sequencing method enables targeted re-sequencing of a panel of genes (Rao et al., 2016). However, the capacity to identify new genes of resistance/immune evasion by whole genome sequencing (WGS) through next generation sequencing (NGS) in India, has remained elusive. Here we report the first WGS of P. falciparum strain performed by Eurofins Genomics India Pvt. Ltd at its Bengaluru division within 40 days of sample submission. Our data establish that timely, commercial WGS through NGS in India can be applied to P. falciparum to greatly empower the malaria elimination agenda in India.

scholarly journals Whole genome sequencing suggests transmission of Corynebacterium diphtheriae-caused cutaneous diphtheria in two siblings, Germany, 2018

2019 ◽  
Vol 24 (2) ◽  
Author(s):  
Anja Berger ◽  
Alexandra Dangel ◽  
Tilmann Schober ◽  
Birgit Schmidbauer ◽  
Regina Konrad ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Corynebacterium Diphtheriae ◽  
Whole Genome ◽  
Next Generation ◽  
Insect Bites ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Generation Sequencing

In September 2018, a child who had returned from Somalia to Germany presented with cutaneous diphtheria by toxigenic Corynebacterium diphtheriae biovar mitis. The child’s sibling had superinfected insect bites harbouring also toxigenic C. diphtheriae. Next generation sequencing (NGS) revealed the same strain in both patients suggesting very recent human-to-human transmission. Epidemiological and NGS data suggest that the two cutaneous diphtheria cases constitute the first outbreak by toxigenic C. diphtheriae in Germany since the 1980s.

scholarly journals A67 Use of next-generation whole-genome sequencing to understand drug-resistant Mycobacterium tuberculosis in Botswana

2018 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
T Iketleng ◽  
T Mogashoa ◽  
B Mbeha ◽  
L Letsibogo ◽  
J Makhema ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Whole Genome ◽  
Drug Resistant ◽  
Next Generation

scholarly journals Comparison of targeted next-generation sequencing for whole-genome sequencing of Hantaan orthohantavirus in Apodemus agrarius lung tissues

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jin Sun No ◽  
Won-Keun Kim ◽  
Seungchan Cho ◽  
Seung-Ho Lee ◽  
Jeong-Ah Kim ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Clinical Samples ◽  
Whole Genome ◽  
Target Enrichment ◽  
Next Generation ◽  
Apodemus Agrarius ◽  
Target Capture ◽  
Generation Sequencing

Abstract Orthohantaviruses, negative-sense single-strand tripartite RNA viruses, are a global public health threat. In humans, orthohantavirus infection causes hemorrhagic fever with renal syndrome or hantavirus cardiopulmonary syndrome. Whole-genome sequencing of the virus helps in identification and characterization of emerging or re-emerging viruses. Next-generation sequencing (NGS) is a potent method to sequence the viral genome, using molecular enrichment methods, from clinical specimens containing low virus titers. Hence, a comparative study on the target enrichment NGS methods is required for whole-genome sequencing of orthohantavirus in clinical samples. In this study, we used the sequence-independent, single-primer amplification, target capture, and amplicon NGS for whole-genome sequencing of Hantaan orthohantavirus (HTNV) from rodent specimens. We analyzed the coverage of the HTNV genome based on the viral RNA copy number, which is quantified by real-time quantitative PCR. Target capture and amplicon NGS demonstrated a high coverage rate of HTNV in Apodemus agrarius lung tissues containing up to 103–104 copies/μL of HTNV RNA. Furthermore, the amplicon NGS showed a 10-fold (102 copies/μL) higher sensitivity than the target capture NGS. This report provides useful insights into target enrichment NGS for whole-genome sequencing of orthohantaviruses without cultivating the viruses.

Understanding the genomic underpinnings of metastatic chromophobe renal cell carcinoma.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 513-513 ◽  
Author(s):  
Jozefina Casuscelli ◽  
Patricia Wang ◽  
Almedina Redzematovic ◽  
William Lee ◽  
Venkatraman E. Seshan ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Renal Cell ◽  
Chromophobe Renal Cell Carcinoma ◽  
Whole Genome ◽  
Next Generation ◽  
Metastatic Tumors ◽  
Histologic Subtype

513 Background: Chromophobe renal cell carcinoma (chRCC) is the third most common histologic subtype of kidney cancer. While most of these tumors have an indolent behavior, 7% of patients with chRCC develop metastases, with no currently available standard of care. The Cancer Genome Atlas characterized chRCC, highlighting pathognomonic single copy chromosomal losses of 1, 2, 6, 10, 13 and 17, as well as a minimal mutation burden distinguishing it from all other cancer types. However, only 15% of the analyzed patients had advanced disease. We analyzed metastatic chRCC to further characterize these tumors and elucidate mechanisms leading to aggressive disease using a variety of next generation and whole genome sequencing. Methods: Our cohort of metastatic chRCC consisted of 40 patients with available clinical and pathologic data. Whole genome sequencing (WGS) was performed on 6 patients (4 primary tumors and 2 metastases), 42 additional samples from 33 patients were analyzed using targeted next-generation sequencing (MSK-IMPACT). Notably, we were able to collect and analyze matched primary and metastatic tumors from 7 patients. As control cohort 27 non-metastatic chRCC tumors were sequenced with MSK-IMPACT. Copy number patterns were computed with OncoSNP seq and FACETS. Results: The most commonly mutated genes in the aggressive chRCC tumors were TP53 and PTEN (WGS: TP53 67 %, PTEN 33%; MSK-IMPACT: TP53 61%, PTEN 27%). No other genes were mutated frequently. Primary tumor samples of chRCC did show the typical pattern of chromosomal losses in 1, 2, 6, 10, 13 and 17. Interestingly, these canonical losses could not be detected in the metastases even when accounting for tumor purity. Conclusions: TP53 and PTEN mutations are highly enriched in both primary and metastatic tumors of aggressive chRCC compared to the non-aggressive tumors and likely play a critical role in disease progression. More intriguingly, the observation of differential copy numbers in matched primary and metastatic tumors suggest whole genome or whole chromosome events in these samples. We are currently employing different bioinformatic and cytogenetic platforms to validate our novel hypothesis of chromosomal events as driver for metastatic development in chRCC.

scholarly journals Detection of identity by descent using next-generation whole genome sequencing data

2012 ◽  
Vol 13 (1) ◽  
Author(s):  
Shu-Yi Su ◽  
Jay Kasberger ◽  
Sergio Baranzini ◽  
William Byerley ◽  
Wilson Liao ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Next Generation ◽  
Sequencing Data ◽  
Identity By Descent

scholarly journals Drug resistance profile and clonality of Plasmodium falciparum parasites in Cape Verde: the 2017 malaria outbreak

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Silvania Da Veiga Leal ◽  
Daniel Ward ◽  
Susana Campino ◽  
Ernest Diez Benavente ◽  
Amy Ibrahim ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Plasmodium Falciparum ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Family Members ◽  
Cape Verde ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
High Level

Abstract Background Cape Verde is an archipelago located off the West African coast and is in a pre-elimination phase of malaria control. Since 2010, fewer than 20 Plasmodium falciparum malaria cases have been reported annually, except in 2017, when an outbreak in Praia before the rainy season led to 423 autochthonous cases. It is important to understand the genetic diversity of circulating P. falciparum to inform on drug resistance, potential transmission networks and sources of infection, including parasite importation. Methods Enrolled subjects involved malaria patients admitted to Dr Agostinho Neto Hospital at Praia city, Santiago island, Cape Verde, between July and October 2017. Neighbours and family members of enrolled cases were assessed for the presence of anti-P. falciparum antibodies. Sanger sequencing and real-time PCR was used to identify SNPs in genes associated with drug resistance (e.g., pfdhfr, pfdhps, pfmdr1, pfk13, pfcrt), and whole genome sequencing data were generated to investigate the population structure of P. falciparum parasites. Results The study analysed 190 parasite samples, 187 indigenous and 3 from imported infections. Malaria cases were distributed throughout Praia city. There were no cases of severe malaria and all patients had an adequate clinical and parasitological response after treatment. Anti-P. falciparum antibodies were not detected in the 137 neighbours and family members tested. No mutations were detected in pfdhps. The triple mutation S108N/N51I/C59R in pfdhfr and the chloroquine-resistant CVIET haplotype in the pfcrt gene were detected in almost all samples. Variations in pfk13 were identified in only one sample (R645T, E668K). The haplotype NFD for pfmdr1 was detected in the majority of samples (89.7%). Conclusions Polymorphisms in pfk13 associated with artemisinin-based combination therapy (ACT) tolerance in Southeast Asia were not detected, but the majority of the tested samples carried the pfmdr1 haplotype NFD and anti-malarial-associated mutations in the the pfcrt and pfdhfr genes. The first whole genome sequencing (WGS) was performed for Cape Verdean parasites that showed that the samples cluster together, have a very high level of similarity and are close to other parasites populations from West Africa.

scholarly journals SARS-CoV-2 Omicron Outbreak in a Dormitory in Saint-Petersburg, Russia

2022 ◽  
Author(s):  
Georgii A. Bazykin ◽  
Daria M. Danilenko ◽  
Andrey B. Komissarov ◽  
Nikita Yolshin ◽  
Olga V. Shneider ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Immune Evasion ◽  
Whole Genome ◽  
Saint Petersburg ◽  
Single Origin ◽  
Rate Of Spread ◽  
Rapid Spread ◽  
Community Transmission

Abstract The B.1.1.529 Omicron variant of SARS-CoV-2 is rapidly spreading, displacing the globally prevalent Delta variant. Before December 16, 2021, community transmission had already been observed in tens of countries globally. However, in Russia, all reported cases had been sporadic and associated with travel. Here, we report an Omicron outbreak at a students’ dormitory in Saint Petersburg, Russia. Out of the 462 sampled residents of the dormitory, 206 (44.6%) tested PCR positive, and 159 (77.1%) of these infections carried the S:ins214EPE insertion, indicating that they were of the Omicron strain. 104 (65%) of Omicron-positive patients have been vaccinated and/or reported previous covid-19. Whole genome sequencing confirmed that the outbreak is caused by the Omicron variant. Phylogenetic analysis showed that the outbreak has a single origin, and belongs to the S:346K sublineage of Omicron which may be characterized by an increased rate of spread, compared to other Omicron sublineages. The rapid spread of Omicron in a population with preexisting immunity to previous variants underlines its propensity for immune evasion.

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