Document Detail

‘Big data’ from shrinking pathogen populations.
MedLine Citation:
PMID:  23409287     Owner:  NLM     Status:  In-Process    
Falling costs for genome sequencing and genotyping mean that population genomic data sets are becoming commonplace for a wide variety of species. Once these data are used for the initial tasks of investigating population structure and demographic history, however, is there reason to go back for more? In this issue of Molecular Ecology, Nkhoma et al. (2013) explore the applications of longitudinal genomic diversity data for detecting changes in the prevalence and transmission of the Plasmodium falciparum malaria parasite in South-East Asia. While this study finds several genetic signatures indicative of reduced disease transmission, other measures, such as short-term effective population size, geographical population structure and heterozygosity, were not informative. These results indicate the potential contribution of genomic data to the surveillance of small, dynamic populations, whether they are at risk of extinction or targeted for elimination. The interpretation of such data will require close consideration of biological context, however, at both the species and the population level.
Daniel E Neafsey
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Molecular ecology     Volume:  22     ISSN:  1365-294X     ISO Abbreviation:  Mol. Ecol.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-02-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214478     Medline TA:  Mol Ecol     Country:  England    
Other Details:
Languages:  eng     Pagination:  271-2     Citation Subset:  IM    
Broad Institute, Cambridge, MA 02142, USA.
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