Host Centrality in Food Web Networks Determines Parasite Diversity
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{"title"=>"Host centrality in food web networks determines parasite diversity", "type"=>"journal", "authors"=>[{"first_name"=>"Tavis K.", "last_name"=>"Anderson", "scopus_author_id"=>"36193552400"}, {"first_name"=>"Michael V K", "last_name"=>"Sukhdeo", "scopus_author_id"=>"7003283546"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"362825436", "sgr"=>"80055033767", "issn"=>"19326203", "pmid"=>"22046360", "scopus"=>"2-s2.0-80055033767", "doi"=>"10.1371/journal.pone.0026798", "isbn"=>"1932-6203"}, "id"=>"b1a8e907-fa47-3df0-99e6-5be4168f26fb", "abstract"=>"<sec> <title>Background</title> <p>Parasites significantly alter topological metrics describing food web structure, yet few studies have explored the relationship between food web topology and parasite diversity.</p> </sec> <sec> <title>Methods/Principal Findings</title> <p>This study uses quantitative metrics describing network structure to investigate the relationship between the topology of the host food web and parasite diversity. Food webs were constructed for four restored brackish marshes that vary in species diversity, time post restoration and levels of parasitism. Our results show that the topology of the food web in each brackish marsh is highly nested, with clusters of generalists forming a distinct modular structure. The most consistent predictors of parasite diversity within a host were: trophic generality, and eigenvector centrality. These metrics indicate that parasites preferentially colonise host species that are highly connected, and within modules of tightly interacting species in the food web network.</p> </sec> <sec> <title>Conclusions/Significance</title> <p>These results suggest that highly connected free-living species within the food web may represent stable trophic relationships that allow for the persistence of complex parasite life cycles. Our data demonstrate that the structure of host food webs can have a significant effect on the establishment of parasites, and on the potential for evolution of complex parasite life cycles.</p> </sec>", "link"=>"http://www.mendeley.com/research/host-centrality-food-web-networks-determines-parasite-diversity", "reader_count"=>104, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>15, "Researcher"=>21, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>4, "Student > Master"=>14, "Other"=>1, "Student > Bachelor"=>8, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>7}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>15, "Researcher"=>21, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>4, "Student > Master"=>14, "Other"=>1, "Student > Bachelor"=>8, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>7}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Environmental Science"=>14, "Mathematics"=>1, "Agricultural and Biological Sciences"=>72, "Medicine and Dentistry"=>2, "Business, Management and Accounting"=>3, "Psychology"=>1, "Social Sciences"=>1, "Computer Science"=>2, "Immunology and Microbiology"=>2, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>1}, "Psychology"=>{"Psychology"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>72}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>3}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>14}}, "reader_count_by_country"=>{"Hungary"=>1, "United States"=>4, "United Kingdom"=>2, "Thailand"=>1, "Spain"=>3, "New Zealand"=>1, "Canada"=>1, "Sweden"=>1, "Norway"=>1, "Brazil"=>1, "Mexico"=>2, "South Africa"=>1, "Israel"=>1, "France"=>2, "Germany"=>2}, "group_count"=>4}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/720915"], "description"=>"<p>The marsh food web (a) without grouping, and (b) with species sorted according to their group affinity. The lines connect a consumer with a consumed species; the nodes represent species identified in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0026798#pone.0026798.s003\" target=\"_blank\">Table S1</a>. The grouping configuration is determined by <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0026798#pone.0026798-Allesina2\" target=\"_blank\">[60]</a>, assessed using <i>AIC</i>, a configuration containing 15 groups was the best fit of the data. The grouping algorithm, seeks to partition the species into groups that make the density of connections within each sub-matrix maximal/minimal. Alternate group configurations are presented in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0026798#pone.0026798.s005\" target=\"_blank\">Table S3</a>.</p>", "links"=>[], "tags"=>["secaucus"], "article_id"=>391281, "categories"=>["Mathematics", "Ecology", "Microbiology"], "users"=>["Tavis K. Anderson", "Michael V. K. Sukhdeo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026798.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_structure_of_the_food_web_at_Secaucus_High_School_Marsh_/391281", "title"=>"The structure of the food web at Secaucus High School Marsh.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-25 00:21:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/720998"], "description"=>"<p>Predictors used in regression tree and random forest model building.</p>", "links"=>[], "tags"=>["regression"], "article_id"=>391362, "categories"=>["Mathematics", "Ecology", "Microbiology"], "users"=>["Tavis K. Anderson", "Michael V. K. Sukhdeo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026798.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predictors_used_in_regression_tree_and_random_forest_model_building_/391362", "title"=>"Predictors used in regression tree and random forest model building.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-25 00:22:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/364546", "https://ndownloader.figshare.com/files/364591", "https://ndownloader.figshare.com/files/364639", "https://ndownloader.figshare.com/files/364755", "https://ndownloader.figshare.com/files/364826", "https://ndownloader.figshare.com/files/364860", "https://ndownloader.figshare.com/files/364885"], "description"=>"<div><h3>Background</h3><p>Parasites significantly alter topological metrics describing food web structure, yet few studies have explored the relationship between food web topology and parasite diversity.</p> <h3>Methods/Principal Findings</h3><p>This study uses quantitative metrics describing network structure to investigate the relationship between the topology of the host food web and parasite diversity. Food webs were constructed for four restored brackish marshes that vary in species diversity, time post restoration and levels of parasitism. Our results show that the topology of the food web in each brackish marsh is highly nested, with clusters of generalists forming a distinct modular structure. The most consistent predictors of parasite diversity within a host were: trophic generality, and eigenvector centrality. These metrics indicate that parasites preferentially colonise host species that are highly connected, and within modules of tightly interacting species in the food web network.</p> <h3>Conclusions/Significance</h3><p>These results suggest that highly connected free-living species within the food web may represent stable trophic relationships that allow for the persistence of complex parasite life cycles. Our data demonstrate that the structure of host food webs can have a significant effect on the establishment of parasites, and on the potential for evolution of complex parasite life cycles.</p> </div>", "links"=>[], "tags"=>["centrality", "networks", "determines", "parasite"], "article_id"=>132054, "categories"=>["Mathematics", "Ecology", "Microbiology"], "users"=>["Tavis K. Anderson", "Michael V. K. Sukhdeo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0026798.s001", "https://dx.doi.org/10.1371/journal.pone.0026798.s002", "https://dx.doi.org/10.1371/journal.pone.0026798.s003", "https://dx.doi.org/10.1371/journal.pone.0026798.s004", "https://dx.doi.org/10.1371/journal.pone.0026798.s005", "https://dx.doi.org/10.1371/journal.pone.0026798.s006", "https://dx.doi.org/10.1371/journal.pone.0026798.s007"], "stats"=>{"downloads"=>15, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Host_Centrality_in_Food_Web_Networks_Determines_Parasite_Diversity/132054", "title"=>"Host Centrality in Food Web Networks Determines Parasite Diversity", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-10-25 00:34:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/720745"], "description"=>"<p>(a) Oritani Marsh (unrestored), (b) Secaucus Marsh (0 year), (c) Harrier Marsh (10 year), and (d) Mill Creek Marsh. Cross marks represent observational data lines, and <i>r<sup>2</sup></i> values represent the fit to the data of the best simple models: power-law distribution (straight line), truncated power-law distribution (downward curved dashed line), or exponential distribution (downward curved solid line).</p>", "links"=>[], "tags"=>["plots", "cumulative", "links"], "article_id"=>391110, "categories"=>["Mathematics", "Ecology", "Microbiology"], "users"=>["Tavis K. Anderson", "Michael V. K. Sukhdeo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026798.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Log_log_plots_of_cumulative_distribution_of_links_per_species_/391110", "title"=>"Log-log plots of cumulative distribution of links per species.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-10-25 00:18:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/721033"], "description"=>"<p>Statistics include species richness (<i>S</i>), potential links (<i>S<sup>2</sup></i>), observed links (<i>L<sub>o</sub></i>), linkage density (<i>d</i>), connectance (<i>C</i>), relative nestedness (<i>n*</i>), and number of groups yielding the minimum <i>AIC</i> for the group-based model described in the main text (<i>k</i>).</p>", "links"=>[], "tags"=>["metrics", "estuarine"], "article_id"=>391399, "categories"=>["Mathematics", "Ecology", "Microbiology"], "users"=>["Tavis K. Anderson", "Michael V. K. Sukhdeo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026798.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_food_web_metrics_for_each_of_the_estuarine_food_webs_/391399", "title"=>"Summary of food web metrics for each of the estuarine food webs.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-25 00:23:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/721059"], "description"=>"<p>The r<sup>2</sup> value indicates the ability of the model to predict parasite diversity within an host. Also included are the four most important variables from the models listed in order of importance. See supplementary files for a regression tree graphic.</p>", "links"=>[], "tags"=>["microbiology", "ecology", "mathematics"], "article_id"=>391423, "categories"=>["Mathematics", "Ecology", "Microbiology"], "users"=>["Tavis K. Anderson", "Michael V. K. Sukhdeo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026798.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regression_tree_and_random_forest_model_results_/391423", "title"=>"Regression tree and random forest model results.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-10-25 00:23:43"}

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  • {"unique-ip"=>"2", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"4", "full-text"=>"0", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"4", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2011-01-01T00:00:00Z", "end_date"=>"2011-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Developmental biology", "average_usage"=>[301, 573, 717, 840, 956, 1063, 1159, 1248, 1327, 1406, 1478, 1557, 1626, 1700, 1772, 1843, 1910, 1980, 2052, 2124, 2192, 2263, 2328, 2391, 2443, 2496, 2564, 2629, 2698, 2771, 2834, 2897, 2959, 3021, 3077, 3144, 3193]}, {"subject_area"=>"/Biology and life sciences/Organisms", "average_usage"=>[316, 571, 699, 812, 915, 1008, 1095, 1180, 1255, 1319, 1393, 1461, 1528, 1595, 1662, 1729, 1802, 1868, 1937, 1997, 2062, 2130, 2192, 2254, 2324, 2386, 2450, 2510, 2579, 2642, 2716, 2778, 2842, 2908, 2979, 3042, 3095]}, {"subject_area"=>"/Biology and life sciences/Parasitology", "average_usage"=>[359, 649, 766, 882, 961, 1046, 1170, 1246, 1317, 1379, 1458, 1532, 1583, 1643, 1697, 1774, 1867, 1925, 1988, 2025, 2077, 2131, 2221, 2341, 2424, 2471, 2514, 2551, 2613, 2691, 2738, 2792, 2852, 2903, 2979, 3037, 3093]}, {"subject_area"=>"/Biology and life sciences/Species interactions", "average_usage"=>[412, 573, 686, 765, 839, 927, 990, 1077, 1143, 1205, 1270, 1342, 1380, 1449, 1506, 1569, 1632, 1688, 1753, 1806, 1870, 1919, 1976, 2035, 2087, 2142, 2212, 2264, 2356, 2390, 2454, 2579, 2652, 2691, 2720, 2818, 2851]}, {"subject_area"=>"/Computer and information sciences/Network analysis", "average_usage"=>[429, 735, 900, 1007, 1119, 1213, 1298, 1390, 1459, 1528, 1611, 1697, 1774, 1859, 1932, 2001, 2114, 2189, 2279, 2342, 2389, 2460, 2561, 2642, 2696, 2770, 2852, 2915, 2972, 3082, 3187, 3243, 3317, 3445, 3552, 3609, 3664]}, {"subject_area"=>"/Earth sciences", "average_usage"=>[340, 559, 691, 791, 903, 989, 1073, 1137, 1213, 1283, 1336, 1410, 1492, 1559, 1632, 1694, 1762, 1831, 1898, 1971, 2033, 2084, 2155, 2218, 2295, 2395, 2436, 2512, 2580, 2664, 2729, 2802, 2889, 2955, 3011, 3093, 3149]}, {"subject_area"=>"/Earth sciences/Marine and aquatic sciences", "average_usage"=>[351, 567, 696, 800, 912, 1000, 1086, 1139, 1231, 1289, 1356, 1428, 1482, 1570, 1623, 1691, 1740, 1808, 1879, 1951, 2007, 2070, 2114, 2186, 2248, 2321, 2419, 2477, 2549, 2592, 2652, 2706, 2785, 2830, 2880, 2965, 3030]}, {"subject_area"=>"/Ecology and environmental sciences", "average_usage"=>[331, 535, 647, 744, 844, 946, 1026, 1107, 1176, 1235, 1292, 1362, 1432, 1501, 1565, 1632, 1688, 1764, 1827, 1880, 1949, 2007, 2080, 2146, 2214, 2260, 2337, 2405, 2464, 2520, 2575, 2661, 2717, 2785, 2835, 2892, 2961]}, {"subject_area"=>"/Ecology and environmental sciences/Aquatic environments", "average_usage"=>[302, 474, 550, 655, 773, 830, 875, 924, 992, 1062, 1107, 1150, 1185, 1237, 1332, 1445, 1495, 1618, 1657, 1691, 1771, 1803, 1835, 1881, 1913, 1941, 2018, 2098, 2169, 2211, 2265, 2363, 2419, 2452, 2472, 2495, 2546, 2657]}, {"subject_area"=>"/Ecology and environmental sciences/Community ecology", "average_usage"=>[337, 542, 636, 717, 795, 860, 928, 1003, 1085, 1131, 1183, 1246, 1275, 1372, 1457, 1531, 1583, 1636, 1686, 1717, 1774, 1848, 1914, 1995, 2041]}, {"subject_area"=>"/Ecology and environmental sciences/Ecological metrics", "average_usage"=>[359, 499, 586, 699, 803, 885, 967, 1025, 1076, 1150, 1200, 1262, 1320, 1382, 1447, 1514, 1595, 1643, 1720, 1784, 1832, 1885, 1951, 2001, 2071]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[303, 547, 667, 770, 875, 974, 1062, 1140, 1210, 1276, 1344, 1408, 1473, 1534, 1602, 1665, 1732, 1800, 1863, 1920, 1984, 2048, 2099, 2161, 2222, 2285, 2341, 2404, 2473, 2528, 2595, 2650, 2713, 2772, 2835, 2886, 2938]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[347, 582, 700, 805, 909, 997, 1061, 1147, 1220, 1282, 1350, 1411, 1471, 1532, 1600, 1665, 1726, 1790, 1868, 1927, 1986, 2048, 2105, 2166, 2229, 2288, 2347, 2407, 2463, 2525, 2589, 2650, 2704, 2755, 2806, 2854, 2896]}]}
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Net::HTTPTooManyRequests

Source
Scopus
Time
2019-07-22 11:11:50 UTC
Target URL
https://api.elsevier.com/content/search/index:SCOPUS?query=DOI(10.1371%2Fjournal.pone.0026798)
Trace

/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'