scholarly journals IdentifyingStreptococcus pneumoniaegenes associated with invasive disease using pangenome-based whole genome sequence typing

2018 ◽  
Author(s):  
Uri Obolski ◽  
Andrea Gori ◽  
José Lourenço ◽  
Craig Thompson ◽  
Robin Thompson ◽  
...  

AbstractStreptococcus pneumoniaeis a normal commensal of the upper respiratory tract but can also invade the bloodstream or CSF (cerebrospinal fluid), causing invasive pneumococcal disease (IPD). In this study, we attempt to identify genes associated with IPD by applying a random forest machine-learning algorithm to whole genome sequence (WGS) data. We find 43 genes consistently associated with IPD across three geographically distinct WGS data sets of pneumococcal carriage isolates. Of these genes, 23 genes have previously shown to be directly relevant to IPD, while the other 18 are uncharacterized.

2017 ◽  
Vol 5 (3) ◽  
Author(s):  
Mariam Iskander ◽  
Kristy Hayden ◽  
Gary Van Domselaar ◽  
Raymond Tsang

ABSTRACT Haemophilus influenzae is an important human pathogen that primarily infects small children. In recent years, H. influenzae serotype a has emerged as a significant cause of invasive disease among indigenous populations. Here, we present the first complete whole-genome sequence of H. influenzae serotype a.


2017 ◽  
Vol 5 (13) ◽  
Author(s):  
Maria Giufrè ◽  
Rita Cardines ◽  
Marina Cerquetti

ABSTRACT In the present era of conjugate vaccines against Haemophilus influenzae type b, non-vaccine-preventable strains are of concern. Here, we report the first whole-genome sequence of an invasive H. influenzae type e strain. This genomic information will enable further investigations on encapsulated non-type b H. influenzae strains.


2020 ◽  
Author(s):  
Francisco J. Pérez-Reche ◽  
Ovidiu Rotariu ◽  
Bruno S. Lopes ◽  
Ken J. Forbes ◽  
Norval J.C. Strachan

ABSTRACTWhole genome sequence (WGS) data could transform our ability to attribute individuals to source populations. However, methods that effectively mine these data are yet to be developed. We present a minimal multilocus distance (MMD) method which rapidly deals with these large data sets as well as methods for optimally selecting loci. This was applied on WGS data to determine the source of human campylobacteriosis, the geographical origin of diverse biological species including humans and proteomic data to classify breast cancer tumours. The MMD method provides a highly accurate attribution which is computationally efficient for extended genotypes. These methods are generic, easy to implement for WGS and proteomic data and have wide application.


2021 ◽  
Vol 10 (17) ◽  
Author(s):  
Thidathip Wongsurawat ◽  
Nuntaya Punyadee ◽  
Piroon Jenjaroenpun ◽  
Dumrong Mairiang ◽  
Nattaya Tangthawornchaikul ◽  
...  

ABSTRACT We present RNA sequencing data sets and their genome sequence assembly for dengue virus that was isolated from a patient with dengue hemorrhagic fever and serially propagated in Vero cells. RNA sequencing data obtained from the first, third, and fifth passages and their corresponding whole-genome sequences are provided in this work.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Eleanor Neal ◽  
Cattram Nguyen ◽  
Felista Tupou Ratu ◽  
Eileen Dunne ◽  
Mike Kama ◽  
...  

Abstract Background Pneumococcal disease is preceded by carriage of pneumococci. We describe factors associated with pneumococcal nasopharyngeal carriage in Fiji, using data from annual (2012-2015) cross-sectional surveys, pre- and post-introduction of ten-valent pneumococcal conjugate vaccine (PCV10). Methods Infants (5-8 weeks), toddlers (12-23 months), children (2-6 years), and their caregivers participated. Pneumococci were detected using lytA qPCR, with molecular serotyping by microarray. We used logistic regression to determine predictors of carriage and density. Results There were 8,109 participants. Pneumococcal carriage was associated with: years post-PCV10 introduction (global P<0.001), iTaukei ethnicity (aOR 2.74 [95% CI 2.17-3.45] P<0.001); young age (global P<0.001); urban residence (aOR 1.45 [95% CI 1.30-2.57] P<0.001); living with >2 children <5 years (aOR 1.42 [95% CI 1.27-1.59] P<0.001); poverty (aOR 1.44 [95% CI 1.28-1.62] P<0.001); and upper respiratory tract infection (URTI) symptoms (aOR 1.77 [95% CI 1.57-2.01] P<0.001). Factors associated with PCV10 and non-PCV10 carriage were similar to those associated with overall carriage. Additionally, PCV10 carriage was associated with PCV10 vaccination (0.58 [95% CI 0.41-0.82] P=0.002) and cigarette smoke exposure (aOR 1.21 [95% CI 1.02-1.43] P=0.031. Non-PCV10 carriage was not associated with years post-PCV10 introduction. Conclusions Introduction of PCV10 reduced the odds of overall and PCV10 pneumococcal carriage in Fiji. ITaukei ethnicity was positively associated with carriage after adjustment for PCV10. Key messages PCV10 introduction was associated with reduced odds of overall and PCV10 pneumococcal carriage in Fiji. Despite high and similar PCV10 coverage rates, iTaukei ethnicity is positively associated with pneumococcal carriage, compared with Fijian of Indian Descent populations.


2010 ◽  
Vol 36 (4) ◽  
pp. 688-694
Author(s):  
Yi-Jun WANG ◽  
Yan-Ping LÜ ◽  
Qin XIE ◽  
De-Xiang DENG ◽  
Yun-Long BIAN

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