How the Motility Pattern of Bacteria Affects Their Dispersal and Chemotaxis
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{"title"=>"How the motility pattern of bacteria affects their dispersal and chemotaxis", "type"=>"journal", "authors"=>[{"first_name"=>"Johannes", "last_name"=>"Taktikos", "scopus_author_id"=>"35206878300"}, {"first_name"=>"Holger", "last_name"=>"Stark", "scopus_author_id"=>"7202245253"}, {"first_name"=>"Vasily", "last_name"=>"Zaburdaev", "scopus_author_id"=>"14036687900"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24391710", "doi"=>"10.1371/journal.pone.0081936", "sgr"=>"84894241186", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84894241186", "issn"=>"19326203", "pui"=>"372425324"}, "id"=>"5ea20c9d-d9f7-386c-950e-9986b5da6171", "abstract"=>"Most bacteria at certain stages of their life cycle are able to move actively; they can swim in a liquid or crawl on various surfaces. A typical path of the moving cell often resembles the trajectory of a random walk. However, bacteria are capable of modifying their apparently random motion in response to changing environmental conditions. As a result, bacteria can migrate towards the source of nutrients or away from harmful chemicals. Surprisingly, many bacterial species that were studied have several distinct motility patterns, which can be theoretically modeled by a unifying random walk approach. We use this approach to quantify the process of cell dispersal in a homogeneous environment and show how the bacterial drift velocity towards the source of attracting chemicals is affected by the motility pattern of the bacteria. Our results open up the possibility of accessing additional information about the intrinsic response of the cells using macroscopic observations of bacteria moving in inhomogeneous environments.", "link"=>"http://www.mendeley.com/research/motility-pattern-bacteria-affects-dispersal-chemotaxis", "reader_count"=>101, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>24, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>39, "Student > Postgraduate"=>7, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>8, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>24, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>39, "Student > Postgraduate"=>7, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>8, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>9, "Unspecified"=>3, "Environmental Science"=>4, "Biochemistry, Genetics and Molecular Biology"=>10, "Materials Science"=>1, "Mathematics"=>4, "Agricultural and Biological Sciences"=>28, "Medicine and Dentistry"=>1, "Physics and Astronomy"=>34, "Chemistry"=>2, "Immunology and Microbiology"=>2, "Earth and Planetary Sciences"=>3}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>9}, "Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Chemistry"=>{"Chemistry"=>2}, "Physics and Astronomy"=>{"Physics and Astronomy"=>34}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>28}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>10}, "Mathematics"=>{"Mathematics"=>4}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>4}}, "reader_count_by_country"=>{"New Zealand"=>1, "Netherlands"=>1, "United States"=>2, "China"=>1, "United Kingdom"=>1, "Italy"=>1, "Switzerland"=>1, "Germany"=>1}, "group_count"=>3}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1335598"], "description"=>"<p>A cell with velocity moves at constant speed . The angle between the velocity vector and the axis defines the direction of cell motion.</p>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics"], "article_id"=>891821, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936.g002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Setup_of_the_model_/891821", "title"=>"Setup of the model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 05:54:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1335617"], "description"=>"<div><p>Most bacteria at certain stages of their life cycle are able to move actively; they can swim in a liquid or crawl on various surfaces. A typical path of the moving cell often resembles the trajectory of a random walk. However, bacteria are capable of modifying their apparently random motion in response to changing environmental conditions. As a result, bacteria can migrate towards the source of nutrients or away from harmful chemicals. Surprisingly, many bacterial species that were studied have several distinct motility patterns, which can be theoretically modeled by a unifying random walk approach. We use this approach to quantify the process of cell dispersal in a homogeneous environment and show how the bacterial drift velocity towards the source of attracting chemicals is affected by the motility pattern of the bacteria. Our results open up the possibility of accessing additional information about the intrinsic response of the cells using macroscopic observations of bacteria moving in inhomogeneous environments.</p></div>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics", "motility", "dispersal"], "article_id"=>891835, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936", "stats"=>{"downloads"=>19, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_How_the_Motility_Pattern_of_Bacteria_Affects_Their_Dispersal_and_Chemotaxis_/891835", "title"=>"How the Motility Pattern of Bacteria Affects Their Dispersal and Chemotaxis", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 05:54:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1335597"], "description"=>"<p>a) Run-and-tumble, b) Run-reverse, and c) Run-reverse-flick. During a “run” event, a cell moves with high persistence. Runs are interrupted by reorientation events like tumbling or reversal. The time steps indicate the sequence of these events. An average turning angle after tumbling in <i>E. coli</i> bacteria is (a), whereas it is an almost perfect reversal of for many marine bacteria, or cells with twitching motility due to cell appendages, called pili (b). <i>V. alginolyticus</i> (c) alternates reversals (at ) with randomizing flicks (at ) with an average turning angle of .</p>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics", "predominant", "motility"], "article_id"=>891820, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sketch_of_the_predominant_motility_patterns_/891820", "title"=>"Sketch of the predominant motility patterns.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 05:54:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1335600"], "description"=>"<p>The normalized velocity correlation function is plotted as a function of dimensionless time . The curves are shown for run-and-tumble of <i>E. coli</i> with persistence parameter (red), run-reverse with (green), and run-reverse-flick with alternating and (blue). The analytical expressions are given in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0081936#pone.0081936.e103\" target=\"_blank\">Eqs. (12)</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0081936#pone.0081936.e160\" target=\"_blank\">(21)</a>, respectively.</p>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics"], "article_id"=>891823, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936.g003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Velocity_correlation_function_/891823", "title"=>"Velocity correlation function.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 05:54:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1335610"], "description"=>"<p>The plot on the left shows ; on the right, the chemotactic drift is normalized by the swimming speed as and coincides with the chemotactic index.</p>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics"], "article_id"=>891833, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936.g006", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Chemotactic_drift_speed_as_a_function_of_for_E_coli_and_V_alginolyticus_/891833", "title"=>"Chemotactic drift speed as a function of for <i>E. coli</i> and <i>V. alginolyticus</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 05:54:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1335609"], "description"=>"<p>All parameters are adjusted to <i>E. coli</i> in the gradient with , , , and .</p>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics", "chemotactic", "persistence", "parameter", "run-tumble-flick", "run-tumble"], "article_id"=>891832, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936.g005", "stats"=>{"downloads"=>0, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_chemotactic_drift_speed_versus_persistence_parameter_between_run_tumble_flick_Eq_28_and_run_tumble_Eq_27_/891832", "title"=>"Comparison of the chemotactic drift speed versus persistence parameter between run-tumble-flick [Eq. (28)] and run-tumble [Eq. (27)].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 05:54:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1335604"], "description"=>"<p>The curves of the normalized MSD versus dimensionless time correspond to <i>E. coli</i>'s run-and-tumble with (red), run-reverse with (green), and run-reverse-flick with alternating and (blue). The analytical expressions are given in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0081936#pone.0081936.e107\" target=\"_blank\">Eqs. (13)</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0081936#pone.0081936.e162\" target=\"_blank\">(22)</a>, respectively. The crosses are obtained from numerical simulations and fully agree with the analytical results.</p>", "links"=>[], "tags"=>["microbiology", "Bioengineering", "Biological systems engineering", "Probability theory", "Stochastic processes", "biophysics", "biomechanics", "Cell mechanics", "Cell motility", "Flagellar motility", "Biophysics theory", "Classical mechanics", "mechanics", "squared", "displacement"], "article_id"=>891827, "categories"=>["Physics", "Biological Sciences", "Mathematics", "Engineering"], "users"=>["Johannes Taktikos", "Holger Stark", "Vasily Zaburdaev"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0081936.g004", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_squared_displacement_MSD_/891827", "title"=>"Mean squared displacement (MSD).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 05:54:40"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"13", "full-text"=>"15", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
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  • {"unique-ip"=>"22", "full-text"=>"22", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"18", "full-text"=>"20", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"28", "full-text"=>"28", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"30", "full-text"=>"24", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"1", "cited-by"=>"1", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"16", "full-text"=>"20", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"26", "full-text"=>"27", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"19", "full-text"=>"26", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
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  • {"unique-ip"=>"21", "full-text"=>"22", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
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  • {"unique-ip"=>"14", "full-text"=>"15", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
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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/Biomechanics", "average_usage"=>[262, 443, 579, 690, 795, 884, 991, 1089, 1183, 1275, 1366, 1445, 1522]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[256, 449, 572, 676, 775, 866, 955, 1041, 1127, 1213, 1290, 1370, 1437]}, {"subject_area"=>"/Physical sciences/Chemistry", "average_usage"=>[247, 429, 544, 647, 747, 842, 929, 1012, 1099, 1179, 1263, 1339, 1409]}, {"subject_area"=>"/Physical sciences/Physics", "average_usage"=>[254, 421, 527, 626, 720, 813, 900, 983, 1063, 1136, 1210, 1283, 1342]}]}
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