Office Space Bacterial Abundance and Diversity in Three Metropolitan Areas
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{"title"=>"Office space bacterial abundance and diversity in three metropolitan areas", "type"=>"journal", "authors"=>[{"first_name"=>"Krissi M.", "last_name"=>"Hewitt", "scopus_author_id"=>"55233597200"}, {"first_name"=>"Charles P.", "last_name"=>"Gerba", "scopus_author_id"=>"7102899689"}, {"first_name"=>"Sheri L.", "last_name"=>"Maxwell", "scopus_author_id"=>"7202800337"}, {"first_name"=>"Scott T.", "last_name"=>"Kelley", "scopus_author_id"=>"7201814638"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84861610138", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "arxiv"=>"Hewitt, Krissi M., 2012, Office", "doi"=>"10.1371/journal.pone.0037849", "pui"=>"364913267", "sgr"=>"84861610138", "issn"=>"19326203", "pmid"=>"22666400"}, "id"=>"48384286-971e-3e2d-ad6f-abb3618d8f1c", "abstract"=>"People in developed countries spend approximately 90% of their lives indoors, yet we know little about the source and diversity of microbes in built environments. In this study, we combined culture-based cell counting and multiplexed pyrosequencing of environmental ribosomal RNA (rRNA) gene sequences to investigate office space bacterial diversity in three metropolitan areas. Five surfaces common to all offices were sampled using sterile double-tipped swabs, one tip for culturing and one for DNA extraction, in 30 different offices per city (90 offices, 450 total samples). 16S rRNA gene sequences were PCR amplified using bar-coded \"universal\" bacterial primers from 54 of the surfaces (18 per city) and pooled for pyrosequencing. A three-factorial Analysis of Variance (ANOVA) found significant differences in viable bacterial abundance between offices inhabited by men or women, among the various surface types, and among cities. Multiplex pyrosequencing identified more than 500 bacterial genera from 20 different bacterial divisions. The most abundant of these genera tended to be common inhabitants of human skin, nasal, oral or intestinal cavities. Other commonly occurring genera appeared to have environmental origins (e.g., soils). There were no significant differences in the bacterial diversity between offices inhabited by men or women or among surfaces, but the bacterial community diversity of the Tucson samples was clearly distinguishable from that of New York and San Francisco, which were indistinguishable. Overall, our comprehensive molecular analysis of office building microbial diversity shows the potential of these methods for studying patterns and origins of indoor bacterial contamination. \"[H]umans move through a sea of microbial life that is seldom perceived except in the context of potential disease and decay.\" - Feazel et al. (2009).", "link"=>"http://www.mendeley.com/research/office-space-bacterial-abundance-diversity-three-metropolitan-areas-3", "reader_count"=>95, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>8, "Researcher"=>22, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>23, "Student > Postgraduate"=>1, "Student > Master"=>13, "Other"=>7, "Student > Bachelor"=>9, "Lecturer"=>2, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>8, "Researcher"=>22, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>23, "Student > Postgraduate"=>1, "Student > Master"=>13, "Other"=>7, "Student > Bachelor"=>9, "Lecturer"=>2, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Engineering"=>4, "Environmental Science"=>14, "Biochemistry, Genetics and Molecular Biology"=>4, "Agricultural and Biological Sciences"=>56, "Medicine and Dentistry"=>5, "Arts and Humanities"=>2, "Design"=>1, "Chemical Engineering"=>1, "Chemistry"=>1, "Immunology and Microbiology"=>4}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Chemistry"=>{"Chemistry"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>56}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>14}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"Canada"=>1, "Sweden"=>1, "United States"=>11, "Sudan"=>1, "Brazil"=>1, "Mexico"=>1, "Malaysia"=>1, "France"=>1, "Germany"=>1, "Spain"=>1}, "group_count"=>13}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/326443"], "description"=>"<div><p>People in developed countries spend approximately 90% of their lives indoors, yet we know little about the source and diversity of microbes in built environments. In this study, we combined culture-based cell counting and multiplexed pyrosequencing of environmental ribosomal RNA (rRNA) gene sequences to investigate office space bacterial diversity in three metropolitan areas. Five surfaces common to all offices were sampled using sterile double-tipped swabs, one tip for culturing and one for DNA extraction, in 30 different offices per city (90 offices, 450 total samples). 16S rRNA gene sequences were PCR amplified using bar-coded “universal” bacterial primers from 54 of the surfaces (18 per city) and pooled for pyrosequencing. A three-factorial Analysis of Variance (ANOVA) found significant differences in viable bacterial abundance between offices inhabited by men or women, among the various surface types, and among cities. Multiplex pyrosequencing identified more than 500 bacterial genera from 20 different bacterial divisions. The most abundant of these genera tended to be common inhabitants of human skin, nasal, oral or intestinal cavities. Other commonly occurring genera appeared to have environmental origins (e.g., soils). There were no significant differences in the bacterial diversity between offices inhabited by men or women or among surfaces, but the bacterial community diversity of the Tucson samples was clearly distinguishable from that of New York and San Francisco, which were indistinguishable. Overall, our comprehensive molecular analysis of office building microbial diversity shows the potential of these methods for studying patterns and origins of indoor bacterial contamination. <b>“</b>[H]umans move through a sea of microbial life that is seldom perceived except in the context of potential disease and decay.” – Feazel et al. (2009).</p> </div>", "links"=>[], "tags"=>["bacterial", "abundance", "areas"], "article_id"=>124440, "categories"=>["Biological Sciences", "Ecology", "Genetics", "Microbiology"], "users"=>["Krissi M. Hewitt", "Charles P. Gerba", "Sheri L. Maxwell", "Scott T. Kelley"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037849", "stats"=>{"downloads"=>6, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Office_Space_Bacterial_Abundance_and_Diversity_in_Three_Metropolitan_Areas/124440", "title"=>"Office Space Bacterial Abundance and Diversity in Three Metropolitan Areas", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-30 01:14:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/630647"], "description"=>"<p>The first two principal coordinates explain approx. 50% of the variation. (A) Samples coded by city: Blue Triangles = New York; Red Squares = San Francisco; Orange Circles = Tucson. (B) Samples coded by gender of office occupant: Red Circle = Female; Blue Square = Male.</p>", "links"=>[], "tags"=>["coordinates", "weighted", "pair-wise", "unifrac", "distances"], "article_id"=>301129, "categories"=>["Biological Sciences", "Ecology", "Genetics", "Microbiology"], "users"=>["Krissi M. Hewitt", "Charles P. Gerba", "Sheri L. Maxwell", "Scott T. Kelley"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037849.g003", "stats"=>{"downloads"=>1, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_Coordinates_Analysis_PCoA_of_the_weighted_pair_wise_Unifrac_distances_between_samples_/301129", "title"=>"Principal Coordinates Analysis (PCoA) of the weighted pair-wise Unifrac distances between samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-30 00:18:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/630448"], "description"=>"<p>The dots indicate the mean bacterial abundance for surfaces grouped by gender of office occupant (top graph), by city (middle graph) and by surface type (bottom graph). The lines connect the means and standard errors for the ranked bacterial counts (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037849#s2\" target=\"_blank\">Methods</a>).</p>", "links"=>[], "tags"=>["graph", "bacterial", "counts", "cities"], "article_id"=>300938, "categories"=>["Biological Sciences", "Ecology", "Genetics", "Microbiology"], "users"=>["Krissi M. Hewitt", "Charles P. Gerba", "Sheri L. Maxwell", "Scott T. Kelley"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037849.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Transition_graph_showing_the_average_bacterial_counts_between_genders_among_cities_and_among_office_locations_/300938", "title"=>"Transition graph showing the average bacterial counts between genders, among cities and among office locations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-30 00:15:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/630543"], "description"=>"<p>The abundances of various bacterial divisions (see color legend) in the 54 samples were based on multiplexed pyrosequencing of 16S rRNA gene sequences. The codes for each sample are presented along the X-axis and indicate the city (NY = New York, SF = San Francisco, TU = Tucson), gender of the office occupant (F = Female, M = Male), and site within the office from which the sample (C = Chair, P = Phone) was obtained, followed by sample number.</p>", "links"=>[], "tags"=>["abundance", "bacterial", "divisions"], "article_id"=>301037, "categories"=>["Biological Sciences", "Ecology", "Genetics", "Microbiology"], "users"=>["Krissi M. Hewitt", "Charles P. Gerba", "Sheri L. Maxwell", "Scott T. Kelley"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037849.g002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_abundance_of_bacterial_divisions_across_samples_/301037", "title"=>"Relative abundance of bacterial divisions across samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-30 00:17:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/630707"], "description"=>"1<p>New York, San Francisco, Tucson;</p>2<p>Male, Female;</p>3<p>Chair, Desktop, Keyboard, Mouse, Phone.</p>", "links"=>[], "tags"=>["three-way", "anova", "examining", "bacterial"], "article_id"=>301206, "categories"=>["Biological Sciences", "Ecology", "Genetics", "Microbiology"], "users"=>["Krissi M. Hewitt", "Charles P. Gerba", "Sheri L. Maxwell", "Scott T. Kelley"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0037849.t001", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_three_way_ANOVA_examining_the_effects_of_city_gender_of_office_inhabitant_and_surface_sample_location_on_bacterial_cell_abundance_/301206", "title"=>"Results of three-way ANOVA examining the effects of city, gender of office inhabitant, and surface sample location on bacterial cell abundance.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-30 00:20:06"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"20", "full-text"=>"24", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"1"}
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Relative Metric

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