A Cross-Taxon Analysis of Insect-Associated Bacterial Diversity
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{"title"=>"A Cross-Taxon Analysis of Insect-Associated Bacterial Diversity", "type"=>"journal", "authors"=>[{"first_name"=>"Ryan Thomas", "last_name"=>"Jones", "scopus_author_id"=>"55941540300"}, {"first_name"=>"Leticia Gonzales", "last_name"=>"Sanchez", "scopus_author_id"=>"36712502400"}, {"first_name"=>"Noah", "last_name"=>"Fierer", "scopus_author_id"=>"8638392900"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"368726730", "isbn"=>"1932-6203", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0061218", "scopus"=>"2-s2.0-84876170550", "pmid"=>"23613815", "sgr"=>"84876170550"}, "id"=>"223e63b1-fada-38bf-bddb-a64e060ee1c8", "abstract"=>"Although it is well known that plants and animals harbor microbial symbionts that can influence host traits, the factors regulating the structure of these microbial communities often remain largely undetermined. This is particularly true for insect-associated microbial communities, as few cross-taxon comparisons have been conducted to date. To address this knowledge gap and determine how host phylogeny and ecology affect insect-associated microbial communities, we collected 137 insect specimens representing 39 species, 28 families, and 8 orders, and characterized the bacterial communities associated with each specimen via 16S rRNA gene sequencing. Bacterial taxa within the phylum Proteobacteria were dominant in nearly all insects sampled. On average, the insect-associated bacterial communities were not very diverse, with individuals typically harboring fewer than 8 bacterial phylotypes. Bacterial communities also tended to be dominated by a single phylotype; on average, the most abundant phylotype represented 54.7% of community membership. Bacterial communities were significantly more similar among closely related insects than among less-related insects, a pattern driven by within-species community similarity but detected at every level of insect taxonomy tested. Diet was a poor predictor of bacterial community composition. Individual insect species harbored remarkably unique communities: the distribution of 69.0% of bacterial phylotypes was limited to unique insect species, whereas only 5.7% of phylotypes were detected in more than five insect species. Together these results suggest that host characteristics strongly regulate the colonization and assembly of bacterial communities across insect lineages, patterns that are driven either by co-evolution between insects and their symbionts or by closely related insects sharing conserved traits that directly select for similar bacterial communities.", "link"=>"http://www.mendeley.com/research/crosstaxon-analysis-insectassociated-bacterial-diversity", "reader_count"=>150, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>3, "Researcher"=>35, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>57, "Student > Postgraduate"=>5, "Other"=>2, "Student > Master"=>21, "Student > Bachelor"=>11, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>3, "Researcher"=>35, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>57, "Student > Postgraduate"=>5, "Other"=>2, "Student > Master"=>21, "Student > Bachelor"=>11, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>9, "Environmental Science"=>9, "Biochemistry, Genetics and Molecular Biology"=>15, "Mathematics"=>2, "Agricultural and Biological Sciences"=>107, "Business, Management and Accounting"=>1, "Computer Science"=>1, "Immunology and Microbiology"=>3, "Earth and Planetary Sciences"=>3}, "reader_count_by_subdiscipline"=>{"Immunology and Microbiology"=>{"Immunology and Microbiology"=>3}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>107}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>15}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>9}, "Environmental Science"=>{"Environmental Science"=>9}}, "reader_count_by_country"=>{"Canada"=>2, "Puerto Rico"=>1, "Sweden"=>1, "United States"=>7, "China"=>1, "Mexico"=>1, "United Kingdom"=>1, "Switzerland"=>1, "Portugal"=>1, "Estonia"=>1, "India"=>1}, "group_count"=>8}

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  • {"files"=>["https://ndownloader.figshare.com/files/1025983"], "description"=>"<p>Richness and evenness of bacterial communities for eight insect orders.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "evenness", "bacterial", "communities"], "article_id"=>683625, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.t002", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Richness_and_evenness_of_bacterial_communities_for_eight_insect_orders_/683625", "title"=>"Richness and evenness of bacterial communities for eight insect orders.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-16 01:00:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025981"], "description"=>"<p>Average weighted UniFrac (A) and Bray-Curtis (B) dissimilarity values of bacterial communities from specimens within species, among species/within diet classification, and among diet classifications. Error bars represent standard error.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "bacterial"], "article_id"=>683623, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.g005", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_diet_on_bacterial_community_dissimilarity_/683623", "title"=>"Effect of diet on bacterial community dissimilarity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-16 01:00:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025982"], "description"=>"<p>Diet: D, Detritivorous; DX, Dead-wood xylophagus; FR, Foliage and Roots; Ha, Haematophagous; HN, Haematophagous/Nectarivorous; LX, Live-plant xylophagus; NP, Nectarivorous/Pollenivorous; O, Omnivorous; P, Predacious.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology"], "article_id"=>683624, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.t001", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_List_of_insect_specimens_/683624", "title"=>"List of insect specimens.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-16 01:00:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025980"], "description"=>"<p>Average weighted UniFrac (A) and Bray-Curtis (B) dissimilarity values of bacterial communities from specimens within species, within families and among species, within orders and among families, and among orders. Error bars represent standard error.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "taxonomic", "classification", "bacterial"], "article_id"=>683622, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.g004", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_taxonomic_classification_on_bacterial_community_dissimilarity_/683622", "title"=>"Effect of taxonomic classification on bacterial community dissimilarity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-16 01:00:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025977"], "description"=>"<p>Values are averaged across all samples within the species. Bacteria are classified to phylum (Firm = Firmicutes; Actino = Actinobacteria; Bact = Bacteroidetes; Proteo = Proteobacteria) (A). Proteobacteria are classified to sub-phylum (B). Each column is an insect species, which are subsequently grouped according to insect family and insect order. Four letter codes for insect species are detailed in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061218#pone-0061218-t001\" target=\"_blank\">Table 1</a>.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "bacterial", "members"], "article_id"=>683619, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.g001", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_of_bacterial_community_members_for_each_insect_species_/683619", "title"=>"Classification of bacterial community members for each insect species.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-16 01:00:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025985"], "description"=>"<div><p>Although it is well known that plants and animals harbor microbial symbionts that can influence host traits, the factors regulating the structure of these microbial communities often remain largely undetermined. This is particularly true for insect-associated microbial communities, as few cross-taxon comparisons have been conducted to date. To address this knowledge gap and determine how host phylogeny and ecology affect insect-associated microbial communities, we collected 137 insect specimens representing 39 species, 28 families, and 8 orders, and characterized the bacterial communities associated with each specimen via 16S rRNA gene sequencing. Bacterial taxa within the phylum Proteobacteria were dominant in nearly all insects sampled. On average, the insect-associated bacterial communities were not very diverse, with individuals typically harboring fewer than 8 bacterial phylotypes. Bacterial communities also tended to be dominated by a single phylotype; on average, the most abundant phylotype represented 54.7% of community membership. Bacterial communities were significantly more similar among closely related insects than among less-related insects, a pattern driven by within-species community similarity but detected at every level of insect taxonomy tested. Diet was a poor predictor of bacterial community composition. Individual insect species harbored remarkably unique communities: the distribution of 69.0% of bacterial phylotypes was limited to unique insect species, whereas only 5.7% of phylotypes were detected in more than five insect species. Together these results suggest that host characteristics strongly regulate the colonization and assembly of bacterial communities across insect lineages, patterns that are driven either by co-evolution between insects and their symbionts or by closely related insects sharing conserved traits that directly select for similar bacterial communities.</p></div>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "cross-taxon", "insect-associated", "bacterial"], "article_id"=>683627, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218", "stats"=>{"downloads"=>3, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_Cross_Taxon_Analysis_of_Insect_Associated_Bacterial_Diversity_/683627", "title"=>"A Cross-Taxon Analysis of Insect-Associated Bacterial Diversity", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-16 01:00:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025984"], "description"=>"<p>Analysis of Similarity of bacterial communities across insect taxonomy.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "bacterial", "communities"], "article_id"=>683626, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.t003", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Analysis_of_Similarity_of_bacterial_communities_across_insect_taxonomy_/683626", "title"=>"Analysis of Similarity of bacterial communities across insect taxonomy.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-16 01:00:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025979"], "description"=>"<p>Each row is an individual insect specimen and each column is a single bacterial phylotype. Insect codes are detailed in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061218#pone-0061218-t001\" target=\"_blank\">Table 1</a>. Phylotypes with relative abundance of 10% or greater in any one insect are included. Absence of a phylotype within a specimen is indicated by white; relative abundance of a phylotype within a specimen ranges from blue (>0%–10%) to red (90%–100%).</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "bacterial", "phylotypes"], "article_id"=>683621, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.g003", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Frequencies_of_bacterial_phylotypes_in_insect_species_with_at_least_5_specimens_/683621", "title"=>"Frequencies of bacterial phylotypes in insect species with at least 5 specimens.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-16 01:00:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1025978"], "description"=>"<p>Each column is a unique bacterial phylotype. Phylotypes are arranged according to taxonomic classification. Insect species are identified by a four-letter code (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061218#pone-0061218-t001\" target=\"_blank\">Table 1</a>) with the first letter indicating the order, as follows: (C) Coleoptera, (D) Diptera, (H) Hemiptera, (I) Isoptera, (L) Lepidoptera, (N) Neuroptera, (S) Siphonoptera, and (Y) Hymenoptera.</p>", "links"=>[], "tags"=>["ecology", "Community Ecology", "Community assembly", "Species interactions", "Ecological environments", "Terrestrial environments", "biodiversity", "biogeography", "microbial ecology", "Population ecology", "Terrestrial ecology", "microbiology", "Population biology", "Zoology", "Entomology", "bacterial", "communities", "477", "phylotypes", "bray-curtis", "z-scores", "96", "abundant", "lowest", "scores", "highest"], "article_id"=>683620, "categories"=>["Biological Sciences"], "users"=>["Ryan Thomas Jones", "Leticia Gonzales Sanchez", "Noah Fierer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061218.g002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bray_Curtis_cluster_of_insect_species_based_on_their_associated_bacterial_communities_all_477_bacterial_phylotypes_used_for_Bray_Curtis_analysis_and_Z_scores_of_the_96_most_abundant_bacterial_phylotypes_with_lowest_scores_in_light_blue_and_highest_scores/683620", "title"=>"Bray-Curtis cluster of insect species based on their associated bacterial communities (all 477 bacterial phylotypes used for Bray-Curtis analysis) and Z-scores of the 96 most abundant bacterial phylotypes with lowest scores in light blue and highest scores in dark blue.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-16 01:00:20"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"20", "full-text"=>"20", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"15", "full-text"=>"17", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Ecology", "average_usage"=>[290, 478, 601, 716, 816, 914, 1016, 1112, 1203, 1285, 1373, 1451, 1516]}, {"subject_area"=>"/Biology and life sciences/Nutrition", "average_usage"=>[264, 463, 602, 708, 816, 908, 1015, 1103, 1200, 1297, 1389, 1476, 1538]}, {"subject_area"=>"/Biology and life sciences/Organisms", "average_usage"=>[281, 484, 611, 728, 835, 934, 1030, 1123, 1214, 1299, 1383, 1464]}, {"subject_area"=>"/Biology and life sciences/Zoology", "average_usage"=>[294, 473, 591, 693, 788, 883, 972, 1054, 1140, 1222, 1299, 1381, 1446]}, {"subject_area"=>"/Ecology and environmental sciences/Ecology", "average_usage"=>[298, 487, 610, 722, 827, 929, 1029, 1125, 1217, 1306, 1388, 1464, 1535]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}]}
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