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Hierarchical genomic analysis of carried and invasive serogroup A Neisseria meningitidis during the 2011 epidemic in Chad

Overview of attention for article published in BMC Genomics, May 2017
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Title
Hierarchical genomic analysis of carried and invasive serogroup A Neisseria meningitidis during the 2011 epidemic in Chad
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3789-0
Pubmed ID
Authors

Kanny Diallo, Kadija Gamougam, Doumagoum M. Daugla, Odile B. Harrison, James E. Bray, Dominique A. Caugant, Jay Lucidarme, Caroline L. Trotter, Musa Hassan-King, James M. Stuart, Olivier Manigart, Brian M. Greenwood, Martin C. J. Maiden

Abstract

Serogroup A Neisseria meningitidis (NmA) was the cause of the 2011 meningitis epidemics in Chad. This bacterium, often carried asymptomatically, is considered to be an "accidental pathogen"; however, the transition from carriage to disease phenotype remains poorly understood. This study examined the role genetic diversity might play in this transition by comparing genomes from geographically and temporally matched invasive and carried NmA isolates. All 23 NmA isolates belonged to the ST-5 clonal complex (cc5). Ribosomal MLST comparison with other publically available NmA:cc5 showed that isolates were closely related, although those from Chad formed two distinct branches and did not cluster with other NmA, based on their MLST profile, geographical and temporal location. Whole genome MLST (wgMLST) comparison identified 242 variable genes among all Chadian isolates and clustered them into three distinct phylogenetic groups (Clusters 1, 2, and 3): no systematic clustering by disease or carriage source was observed. There was a significant difference (p = 0.0070) between the mean age of the individuals from which isolates from Cluster 1 and Cluster 2 were obtained, irrespective of whether the person was a case or a carrier. Whole genome sequencing provided high-resolution characterization of the genetic diversity of these closely related NmA isolates. The invasive meningococcal isolates obtained during the epidemic were not homogeneous; rather, a variety of closely related but distinct clones were circulating in the human population with some clones preferentially colonizing specific age groups, reflecting a potential age-related niche adaptation. Systematic genetic differences were not identified between carriage and disease isolates consistent with invasive meningococcal disease being a multi-factorial event resulting from changes in host-pathogen interactions along with the bacterium.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Researcher 3 8%
Other 7 18%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 8 20%
Biochemistry, Genetics and Molecular Biology 5 13%
Immunology and Microbiology 5 13%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 2 5%
Other 4 10%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2017.
All research outputs
#17,894,903
of 22,974,684 outputs
Outputs from BMC Genomics
#7,606
of 10,686 outputs
Outputs of similar age
#224,186
of 313,704 outputs
Outputs of similar age from BMC Genomics
#160
of 220 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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