scholarly journals Molecular epidemiology of Candida auris in Qatar using whole genome sequence data

2021 ◽  
Vol 3 (12) ◽  
Author(s):  
Husam Salah ◽  
Sathyavathi Sundararaju ◽  
Lamya Dalil ◽  
Patrick Tang ◽  
Walid Al-Wali ◽  
...  
Keyword(s):  
Sequence Data ◽  
Multidrug Resistant ◽  
Hospital Environment ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Resistance Mutations ◽  
Candida Auris ◽  
East Region ◽  
Echinocandin Resistance ◽  
Middle East Region

Candida auris is an emerging, multidrug resistant fungal pathogen that has become a public health threat worldwide. Candida auris spreads easily among patients within and between hospitals, and the incidence of infections has increased substantially in the last decade. Multiple C. auris outbreaks have been reported worldwide including India, USA and United Kingdom. Infections and outbreaks caused by C. auris have also been reported in the Middle East region including Kuwait, Oman, Saudi Arabia, and Qatar; however, the origin of these isolates is largely unknown. This study uses whole genome sequencing (WGS) data to determine the epidemiology and the drug resistance mutations from C. auris in Qatar. Forty samples isolated from the patients and the hospital environment were sequenced by Illumina Nextseq. Core genome SNPs revealed that all isolates belonged to the Indian lineage, which could be originated from the expatriate labour from South Asia. The genetic variability among the isolates was low but comprised of more than one genetic cluster. The environmental isolates were identical to the clinical isolates, and the isolates from patients of different hospitals/outbreaks clustered together, suggesting the transmission of C. auris could be linked to infected/colonized patients and the hospital environment. Mutations associated with azole and echinocandin resistance were discussed.

scholarly journals Genomic Epidemiology of Candida auris in Qatar Reveals Hospital Transmission Dynamics and a South Asian Origin

2021 ◽  
Vol 7 (3) ◽  
pp. 240
Author(s):  
Husam Salah ◽  
Sathyavathi Sundararaju ◽  
Lamya Dalil ◽  
Sarah Salameh ◽  
Walid Al-Wali ◽  
...  
Keyword(s):  
South Asian ◽  
Multidrug Resistant ◽  
Hospital Environment ◽  
Nucleotide Polymorphisms ◽  
Resistance Mutations ◽  
Candida Auris ◽  
Single Nucleotide ◽  
Genomic Epidemiology ◽  
East Region ◽  
Middle East Region

Candida auris is an emerging, multidrug-resistant fungal pathogen that has become a public health threat with an increasing incidence of infections worldwide. Candida auris spreads easily among patients within and between hospitals. Infections and outbreaks caused by C. auris have been reported in the Middle East region including Oman, Kuwait, Saudi Arabia, and Qatar; however, the origin of these isolates is largely unknown. Pathogen whole genome sequencing (WGS) was used to determine the epidemiology and drug resistance mutations of C. auris in Qatar. Forty-four samples isolated from patients in three hospitals and the hospital environment were sequenced by Illumina NextSeq. Core genome single nucleotide polymorphisms (SNPs) revealed that all isolates belonged to the South Asian lineage with genetic heterogeneity that suggests previous acquisition from foreign healthcare. The genetic variability among the outbreak isolates in the two hospitals (A and B) was low. Four environmental isolates clustered with the related clinical isolates, and epidemiologically linked isolates clustered together, suggesting that the ongoing transmission of C. auris could be linked to infected/colonized patients and the hospital environment. Prominent mutations Y132F and K143R in ERG11 linked to increased fluconazole resistance were detected.

scholarly journals Epidemiology and Whole Genome Sequence Typing of Globally Emerging, Multidrug-Resistant Candida auris

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Kizee Etienne ◽  
Snigdha Vallabhaneni ◽  
Joveria Farooqi ◽  
Rana Jawad Asghar ◽  
Anuradha Chowdhary ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Multidrug Resistant ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Candida Auris

scholarly journals Whole-genome sequence analysis and comparisons between drug-resistance mutations and minimum inhibitory concentrations of Mycobacterium tuberculosis isolates causing M/XDR-TB

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244829
Author(s):  
Ditthawat Nonghanphithak ◽  
Orawee Kaewprasert ◽  
Pratchakan Chaiyachat ◽  
Wipa Reechaipichitkul ◽  
Angkana Chaiprasert ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Mycobacterium Tuberculosis ◽  
Drug Susceptibility ◽  
Multidrug Resistant ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Drug Resistant ◽  
Resistance Mutations ◽  
Tb 34 ◽  
Susceptibility Tests

Drug resistance (DR) remains a major challenge for tuberculosis (TB) control. Whole-genome sequencing (WGS) provides the highest genetic resolution for genotypic drug-susceptibility tests (DST). We compared DST profiles of 60 Mycobacterium tuberculosis isolates which were drug resistant according to agar proportion tests (one poly DR-TB, 34 multidrug-resistant TB and 25 extensively drug-resistant TB). We additionally performed minimum inhibitory concentration (MIC) tests using Sensititre MYCOTBI plates (MYCOTB) and a WGS-based DST. Agreement between WGS-based DST and MYCOTB was high for all drugs except ethambutol (65%) and ethionamide (62%). Isolates harboring the -15 c/t inhA promoter mutation had a significantly lower MIC for isoniazid than did isolates with the katG Ser315Thr mutation (p < 0.001). Similar patterns were seen for ethambutol (embB Gly406Asp vs. embB Met306Ile), streptomycin (gid Gly73Ala vs. rpsL Lys43Arg), moxifloxacin (gyrA Ala90Val vs. gyrA Asp94Gly) and rifabutin (rpoB Asp435Phe/Tyr/Val vs. rpoB Ser450Leu). For genotypic heteroresistance, isolates with lower proportion of mapped read tended to has lower MIC of anti-TB drugs than those with higher proportion. These results emphasize the high applicability of WGS for determination of DR-TB and the association of particular mutations with MIC levels.

Candida auris and Nosocomial Infection

2020 ◽  
Vol 21 (4) ◽  
pp. 365-373 ◽  
Author(s):  
Sweety Dahiya ◽  
Anil K. Chhillar ◽  
Namita Sharma ◽  
Pooja Choudhary ◽  
Aruna Punia ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Pathogenic Fungus ◽  
Control Measures ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Drug Resistant ◽  
Candida Auris ◽  
Preventive Control ◽  
Identification Techniques ◽  
Sensitivity Profile

The existence of the multi-drug resistant (MDR) pathogenic fungus, Candida auris came to light in 2009. This particular organism is capable of causing nosocomial infections in immunecompromised persons. This pathogen is associated with consistent candidemia with high mortality rate and presents a serious global health threat. Whole genome sequence (WGS) investigation detected powerful phylogeographic Candida auris genotypes which are specialized to particular geological areas indicating dissemination of particular genotype among provinces. Furthermore, this organism frequently exhibits multidrug-resistance and displays an unusual sensitivity profile. Identification techniques that are commercialized to test Candida auris often show inconsistent results and this misidentification leads to treatment failure which complicates the management of candidiasis. Till date, Candida auris has been progressively recorded from several countries and therefore its preventive control measures are paramount to interrupt its transmission. In this review, we discussed prevalence, biology, drug-resistance phenomena, virulence factors and management of Candida auris infections.

TIGER: inferring DNA replication timing from whole-genome sequence data

2021 ◽  
Author(s):  
Amnon Koren ◽  
Dashiell J Massey ◽  
Alexa N Bracci
Keyword(s):  
Dna Replication ◽  
Genome Sequence ◽  
Genomic Dna ◽  
Sequence Data ◽  
Replication Timing ◽  
Whole Genome Sequence ◽  
Supplementary Information ◽  
Whole Genome ◽  
Genome Sequence Data ◽  
Dna Replication Timing

Abstract Motivation Genomic DNA replicates according to a reproducible spatiotemporal program, with some loci replicating early in S phase while others replicate late. Despite being a central cellular process, DNA replication timing studies have been limited in scale due to technical challenges. Results We present TIGER (Timing Inferred from Genome Replication), a computational approach for extracting DNA replication timing information from whole genome sequence data obtained from proliferating cell samples. The presence of replicating cells in a biological specimen leads to non-uniform representation of genomic DNA that depends on the timing of replication of different genomic loci. Replication dynamics can hence be observed in genome sequence data by analyzing DNA copy number along chromosomes while accounting for other sources of sequence coverage variation. TIGER is applicable to any species with a contiguous genome assembly and rivals the quality of experimental measurements of DNA replication timing. It provides a straightforward approach for measuring replication timing and can readily be applied at scale. Availability and Implementation TIGER is available at https://github.com/TheKorenLab/TIGER. Supplementary information Supplementary data are available at Bioinformatics online

scholarly journals Whole genome sequence data of Mycobacterium tuberculosis XDR strain, isolated from patient in Kazakhstan

Data in Brief ◽  
2020 ◽  
Vol 33 ◽  
pp. 106416
Author(s):  
Asset Daniyarov ◽  
Askhat Molkenov ◽  
Saule Rakhimova ◽  
Ainur Akhmetova ◽  
Zhannur Nurkina ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Genome Sequence ◽  
Sequence Data ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Genome Sequence Data

scholarly journals Elucidating the genetic basis of an oligogenic birth defect using whole genome sequence data in a non-model organism, Bubalus bubalis

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Lynsey K. Whitacre ◽  
Jesse L. Hoff ◽  
Robert D. Schnabel ◽  
Sara Albarella ◽  
Francesca Ciotola ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Birth Defect ◽  
Genetic Basis ◽  
Sequence Data ◽  
Model Organism ◽  
Bubalus Bubalis ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Genome Sequence Data

scholarly journals Whole genome characterization of strains belonging to the Ralstonia solanacearum species complex and in silico analysis of TaqMan assays for detection in this heterogenous species complex

2021 ◽  
Author(s):  
Viola Kurm ◽  
Ilse Houwers ◽  
Claudia E. Coipan ◽  
Peter Bonants ◽  
Cees Waalwijk ◽  
...  
Keyword(s):  
Ralstonia Solanacearum ◽  
In Silico ◽  
Species Complex ◽  
Sequence Data ◽  
In Silico Analysis ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Genome Sequences ◽  
Pcr Assays

AbstractIdentification and classification of members of the Ralstonia solanacearum species complex (RSSC) is challenging due to the heterogeneity of this complex. Whole genome sequence data of 225 strains were used to classify strains based on average nucleotide identity (ANI) and multilocus sequence analysis (MLSA). Based on the ANI score (>95%), 191 out of 192(99.5%) RSSC strains could be grouped into the three species R. solanacearum, R. pseudosolanacearum, and R. syzygii, and into the four phylotypes within the RSSC (I,II, III, and IV). R. solanacearum phylotype II could be split in two groups (IIA and IIB), from which IIB clustered in three subgroups (IIBa, IIBb and IIBc). This division by ANI was in accordance with MLSA. The IIB subgroups found by ANI and MLSA also differed in the number of SNPs in the primer and probe sites of various assays. An in-silico analysis of eight TaqMan and 11 conventional PCR assays was performed using the whole genome sequences. Based on this analysis several cases of potential false positives or false negatives can be expected upon the use of these assays for their intended target organisms. Two TaqMan assays and two PCR assays targeting the 16S rDNA sequence should be able to detect all phylotypes of the RSSC. We conclude that the increasing availability of whole genome sequences is not only useful for classification of strains, but also shows potential for selection and evaluation of clade specific nucleic acid-based amplification methods within the RSSC.

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