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Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control

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Attention for Chapter 3: The Evolution of Strain Typing in the Mycobacterium tuberculosis Complex
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Chapter title
The Evolution of Strain Typing in the Mycobacterium tuberculosis Complex
Chapter number 3
Book title
Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-64371-7_3
Pubmed ID
Book ISBNs
978-3-31-964369-4, 978-3-31-964371-7
Authors

Matthias Merker, Thomas A. Kohl, Stefan Niemann, Philip Supply, Merker, Matthias, Kohl, Thomas A., Niemann, Stefan, Supply, Philip

Abstract

Tuberculosis (TB) is a contagious disease with a complex epidemiology. Therefore, molecular typing (genotyping) of Mycobacterium tuberculosis complex (MTBC) strains is of primary importance to effectively guide outbreak investigations, define transmission dynamics and assist global epidemiological surveillance of the disease. Large-scale genotyping is also needed to get better insights into the biological diversity and the evolution of the pathogen. Thanks to its shorter turnaround and simple numerical nomenclature system, mycobacterial interspersed repetitive unit-variable-number tandem repeat (MIRU-VNTR) typing, based on 24 standardized plus 4 hypervariable loci, optionally combined with spoligotyping, has replaced IS6110 DNA fingerprinting over the last decade as a gold standard among classical strain typing methods for many applications. With the continuous progress and decreasing costs of next-generation sequencing (NGS) technologies, typing based on whole genome sequencing (WGS) is now increasingly performed for near complete exploitation of the available genetic information. However, some important challenges remain such as the lack of standardization of WGS analysis pipelines, the need of databases for sharing WGS data at a global level, and a better understanding of the relevant genomic distances for defining clusters of recent TB transmission in different epidemiological contexts. This chapter provides an overview of the evolution of genotyping methods over the last three decades, which culminated with the development of WGS-based methods. It addresses the relative advantages and limitations of these techniques, indicates current challenges and potential directions for facilitating standardization of WGS-based typing, and provides suggestions on what method to use depending on the specific research question.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 16%
Researcher 11 12%
Student > Ph. D. Student 9 10%
Student > Bachelor 6 7%
Other 5 5%
Other 16 18%
Unknown 29 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 14%
Immunology and Microbiology 13 14%
Medicine and Dentistry 10 11%
Agricultural and Biological Sciences 7 8%
Nursing and Health Professions 2 2%
Other 13 14%
Unknown 33 36%
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 30 March 2018.
All research outputs
#18,576,001
of 23,007,887 outputs
Outputs from Advances in experimental medicine and biology
#3,324
of 4,961 outputs
Outputs of similar age
#311,446
of 421,256 outputs
Outputs of similar age from Advances in experimental medicine and biology
#333
of 490 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.