Document Detail


Towards a quantitative perception of human-microbial co-evolution.
MedLine Citation:
PMID:  17569612     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The influence of changes in population structures of modern humans and human pathogens is likely reciprocal. In my opinion, a quantitative approach to study this co-influence in a historical perspective requires, in particular, adequate estimators of genetic distances that are well developed for human but not yet for microbial populations. Here, I propose a simple measure of genetic distance between geographic populations within a microbial species based on the observed difference in the frequencies of its genotypes. Further, I apply the proposed method to principal components analysis of Mycobacterium tuberculosis, and interpret the geographic distribution of its VNTR haplotypes in the light of human historical and recent migrations. The proposed approach may be helpful for a quantitative understanding of human-microbial interactions that constitute an integral part of the global history.
Authors:
Igor Mokrousov
Publication Detail:
Type:  Comparative Study; Journal Article     Date:  2007-09-01
Journal Detail:
Title:  Frontiers in bioscience : a journal and virtual library     Volume:  12     ISSN:  1093-4715     ISO Abbreviation:  Front. Biosci.     Publication Date:  2007  
Date Detail:
Created Date:  2007-06-15     Completed Date:  2007-08-10     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9709506     Medline TA:  Front Biosci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4818-25     Citation Subset:  IM    
Affiliation:
Laboratory of Molecular Microbiology, St. Petersburg Pasteur Institute, St. Petersburg, Russia. imokrousov@mail.ru
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MeSH Terms
Descriptor/Qualifier:
Databases, Genetic
Evolution, Molecular*
Genetics, Population*
Genome, Bacterial
Geography
Haplotypes
Humans
Minisatellite Repeats
Mycobacterium tuberculosis / classification,  genetics*
Phylogeny*
Population Dynamics

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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