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The “Most Wanted” Taxa from the Human Microbiome for Whole Genome Sequencing

Overview of attention for article published in PLOS ONE, July 2012
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Title
The “Most Wanted” Taxa from the Human Microbiome for Whole Genome Sequencing
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041294
Pubmed ID
Authors

Anthony A. Fodor, Todd Z. DeSantis, Kristine M. Wylie, Jonathan H. Badger, Yuzhen Ye, Theresa Hepburn, Ping Hu, Erica Sodergren, Konstantinos Liolios, Heather Huot-Creasy, Bruce W. Birren, Ashlee M. Earl

Abstract

The goal of the Human Microbiome Project (HMP) is to generate a comprehensive catalog of human-associated microorganisms including reference genomes representing the most common species. Toward this goal, the HMP has characterized the microbial communities at 18 body habitats in a cohort of over 200 healthy volunteers using 16S rRNA gene (16S) sequencing and has generated nearly 1,000 reference genomes from human-associated microorganisms. To determine how well current reference genome collections capture the diversity observed among the healthy microbiome and to guide isolation and future sequencing of microbiome members, we compared the HMP's 16S data sets to several reference 16S collections to create a 'most wanted' list of taxa for sequencing. Our analysis revealed that the diversity of commonly occurring taxa within the HMP cohort microbiome is relatively modest, few novel taxa are represented by these OTUs and many common taxa among HMP volunteers recur across different populations of healthy humans. Taken together, these results suggest that it should be possible to perform whole-genome sequencing on a large fraction of the human microbiome, including the 'most wanted', and that these sequences should serve to support microbiome studies across multiple cohorts. Also, in stark contrast to other taxa, the 'most wanted' organisms are poorly represented among culture collections suggesting that novel culture- and single-cell-based methods will be required to isolate these organisms for sequencing.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 7 3%
Denmark 4 2%
Germany 2 <1%
Netherlands 2 <1%
India 2 <1%
Australia 1 <1%
Brazil 1 <1%
Chile 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 230 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 28%
Student > Ph. D. Student 49 19%
Student > Master 22 9%
Student > Bachelor 21 8%
Professor > Associate Professor 14 6%
Other 43 17%
Unknown 32 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 120 48%
Biochemistry, Genetics and Molecular Biology 30 12%
Immunology and Microbiology 20 8%
Medicine and Dentistry 11 4%
Engineering 6 2%
Other 28 11%
Unknown 37 15%