Tracing Carbon Sources through Aquatic and Terrestrial Food Webs Using Amino Acid Stable Isotope Fingerprinting
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{"title"=>"Tracing Carbon Sources through Aquatic and Terrestrial Food Webs Using Amino Acid Stable Isotope Fingerprinting", "type"=>"journal", "authors"=>[{"first_name"=>"Thomas", "last_name"=>"Larsen", "scopus_author_id"=>"36990705500"}, {"first_name"=>"Marc", "last_name"=>"Ventura", "scopus_author_id"=>"7201760333"}, {"first_name"=>"Nils", "last_name"=>"Andersen", "scopus_author_id"=>"35767349800"}, {"first_name"=>"Diane M.", "last_name"=>"O'Brien", "scopus_author_id"=>"7402739071"}, {"first_name"=>"Uwe", "last_name"=>"Piatkowski", "scopus_author_id"=>"6603733921"}, {"first_name"=>"Matthew D.", "last_name"=>"McCarthy", "scopus_author_id"=>"7402061118"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"369833921", "sgr"=>"84884242713", "issn"=>"19326203", "pmid"=>"24069196", "scopus"=>"2-s2.0-84884242713", "doi"=>"10.1371/journal.pone.0073441", "isbn"=>"2009049330"}, "id"=>"80614aee-f746-34ae-8966-aaafdac47e2e", "abstract"=>"Tracing the origin of nutrients is a fundamental goal of food web research but methodological issues associated with current research techniques such as using stable isotope ratios of bulk tissue can lead to confounding results. We investigated whether naturally occurring δ(13)C patterns among amino acids (δ(13)CAA) could distinguish between multiple aquatic and terrestrial primary production sources. We found that δ(13)CAA patterns in contrast to bulk δ(13)C values distinguished between carbon derived from algae, seagrass, terrestrial plants, bacteria and fungi. Furthermore, we showed for two aquatic producers that their δ(13)CAA patterns were largely unaffected by different environmental conditions despite substantial shifts in bulk δ(13)C values. The potential of assessing the major carbon sources at the base of the food web was demonstrated for freshwater, pelagic, and estuarine consumers; consumer δ(13)C patterns of essential amino acids largely matched those of the dominant primary producers in each system. Since amino acids make up about half of organismal carbon, source diagnostic isotope fingerprints can be used as a new complementary approach to overcome some of the limitations of variable source bulk isotope values commonly encountered in estuarine areas and other complex environments with mixed aquatic and terrestrial inputs.", "link"=>"http://www.mendeley.com/research/tracing-carbon-sources-through-aquatic-terrestrial-food-webs-using-amino-acid-stable-isotope-fingerp", "reader_count"=>162, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>8, "Researcher"=>28, "Student > Doctoral Student"=>10, "Student > Ph. D. Student"=>52, "Student > Postgraduate"=>7, "Student > Master"=>30, "Other"=>3, "Student > Bachelor"=>10, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>8, "Researcher"=>28, "Student > Doctoral Student"=>10, "Student > Ph. D. Student"=>52, "Student > Postgraduate"=>7, "Student > Master"=>30, "Other"=>3, "Student > Bachelor"=>10, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>14, "Engineering"=>1, "Environmental Science"=>34, "Agricultural and Biological Sciences"=>86, "Arts and Humanities"=>2, "Physics and Astronomy"=>1, "Chemistry"=>5, "Social Sciences"=>1, "Earth and Planetary Sciences"=>18}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Chemistry"=>{"Chemistry"=>5}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>18}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>86}, "Unspecified"=>{"Unspecified"=>14}, "Environmental Science"=>{"Environmental Science"=>34}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"United States"=>4, "Japan"=>1, "Finland"=>1, "Brazil"=>1, "South Africa"=>2, "Mexico"=>1, "Chile"=>1, "India"=>1}, "group_count"=>7}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1207112"], "description"=>"<p>None of the microalgal or macroalgal group clustered separately from one another. Values in parentheses are the percentage variation accounted by each axes. The first axis separates the photoautotrophs from the microbes, and the second axis separates vascular plants from algae, and fungi from bacteria. The fairly similar vector lengths show that almost all amino acids were important for the variations of the two first ordination components. See Table S4 for analytical details.</p>", "links"=>[], "tags"=>["producers", "isotope", "patterns", "vascular"], "article_id"=>801491, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0073441.g001", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_principal_component_analysis_of_13_C_AAn_values_of_different_producers_show_a_range_of_different_isotope_patterns_between_bacteria_fungi_vascular_plant_and_algae_/801491", "title"=>"The principal component analysis of δ<sup>13</sup>C<sub>AAn</sub> values of different producers show a range of different isotope patterns between bacteria, fungi, vascular plant and algae.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-17 01:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1207113"], "description"=>"<p>In the left figure (a) displaying the scores of the first two discriminant axes, fungi and terrestrial plants each cluster separately from algae and bacteria. In the right figure (b) displaying the second and third discriminant axes, bacteria are separated apart from the algae, fungi and terrestrial plants. The dotted lines represent confidence ranges at P = 0.5. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073441#pone.0073441.s007\" target=\"_blank\">Table S6</a> for details.</p>", "links"=>[], "tags"=>["discriminant", "algae", "terrestrial"], "article_id"=>801492, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0073441.g002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Linear_discriminant_function_analysis_based_on_the_13_C_EAA_values_Ile_Leu_Lys_Phe_Thr_Val_of_bacteria_fungi_algae_and_terrestrial_plants_/801492", "title"=>"Linear discriminant function analysis based on the δ<sup>13</sup>C<sub>EAA</sub>values (Ile, Leu, Lys, Phe, Thr, Val) of bacteria, fungi, algae and terrestrial plants.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-17 01:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1207114"], "description"=>"<p>It separates all seagrass samples from the three algal groups. The majority of the algal samples classified correctly within their own groups (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073441#pone.0073441.s008\" target=\"_blank\">Table S7</a>). The dotted lines represent confidence ranges at P = 0.5; confidence ranges are only displayed in the left figure (a) because the third linear discriminant in right figure (b) only explained 14%.</p>", "links"=>[], "tags"=>["discriminant", "algal"], "article_id"=>801493, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0073441.g003", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Linear_discriminant_function_analysis_with_the_13_C_EAA_values_Ile_Leu_Lys_Phe_Val_from_the_three_algal_groups_/801493", "title"=>"Linear discriminant function analysis with the δ<sup>13</sup>C<sub>EAA</sub>values (Ile, Leu, Lys, Phe, Val) from the three algal groups.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-17 01:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1207116"], "description"=>"<p>The bars for the amino acids represent the mean and standard deviations of either five non-essential (NEAA) or six essential (EAA) amino acids.</p>", "links"=>[], "tags"=>["amino", "kelp", "samples", "seagrass"], "article_id"=>801495, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0073441.g004", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bars_representing_the_maximum_range_for_individual_amino_acid_13_C_n_values_normalized_to_their_means_and_bulk_948_13_C_values_across_five_giant_kelp_samples_Macrocystis_pyrifera_or_five_seagrass_samples_Posidonia_oceanica_/801495", "title"=>"Bars representing the maximum range for individual amino acid δ<sup>13</sup>C<sub>n</sub> values (normalized to their means) and bulk δ<sup>13</sup>C values across five giant kelp samples (<i>Macrocystis pyrifera</i>) or five seagrass samples (<i>Posidonia oceanica</i>).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-17 01:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1207117"], "description"=>"<p>(a) In oligotrophic arctic lakes in Alaska, <i>Daphinia</i> sp. and seston cluster closely to each other, and their EAAs appear to derive predominantly from microalgae although a part of their EAAs may have come from foods reworked by bacteria or from allochtonous sources (i.e soils). (b) In the central North Pacific Ocean the EAAs of the carnivorous fish species (opah; <i>Lampris guttatus</i>, common dolphinfish; <i>Coryphaena hippurus</i>, broadbill swordfish; <i>Xiphias gladius</i>) resembled microalgae rather than EAAs from bacteria and fungi. (c) In a complex littoral marine system by the Californian shore, the δ<sup>13</sup>C<sub>EAA</sub> fingerprints of California mussel (<i>Mytilus californianus</i>) resemble microalgae and not bacteria or brown algae, i.e. kelp. In the figure legend, ‘Pr’ signifies predicted samples. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073441#pone.0073441.s009\" target=\"_blank\">Table S8</a> for analytical details.</p>", "links"=>[], "tags"=>["diagnostic", "patterns", "studies"], "article_id"=>801496, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0073441.g005", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Application_of_source_diagnostic_13_C_EAA_patterns_in_food_web_studies_across_three_different_ecosystems_/801496", "title"=>"Application of source diagnostic δ<sup>13</sup>C<sub>EAA</sub> patterns in food web studies across three different ecosystems.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-17 01:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1207118"], "description"=>"<p>The boxes provide a 68% confidence interval (corresponding to the 16<sup>th</sup> and 84<sup>th</sup> percentiles) and the whiskers provide a 95% confidence interval. The horizontal continuous line indicates the average while the horizontal discontinuous line indicates the median (50<sup>th</sup> percentile). See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0073441#pone.0073441.s010\" target=\"_blank\">Appendix S1</a> for detailed information.</p>", "links"=>[], "tags"=>["boxplot", "generated", "fruits", "mixing", "amino", "acids", "diets", "california", "mussel"], "article_id"=>801497, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0073441.g006", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_boxplot_generated_with_the_FRUITS_mixing_model_showing_the_contribution_of_essential_amino_acids_Leu_Lys_and_Val_from_three_diets_bacteria_n_12_kelp_n_5_microalgae_n_27_to_the_California_mussel_Mytilus_californianus_average_value_of_two_samples_/801497", "title"=>"A boxplot generated with the FRUITS mixing model showing the contribution of essential amino acids (Leu, Lys, and Val) from three diets (bacteria; n = 12, kelp; n = 5, microalgae; n = 27) to the California mussel (<i>Mytilus californianus</i>; average value of two samples).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-17 01:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/1207120", "https://ndownloader.figshare.com/files/1207121", "https://ndownloader.figshare.com/files/1207122", "https://ndownloader.figshare.com/files/1207123", "https://ndownloader.figshare.com/files/1207124", "https://ndownloader.figshare.com/files/1207125", "https://ndownloader.figshare.com/files/1207126", "https://ndownloader.figshare.com/files/1207127", "https://ndownloader.figshare.com/files/1207128", "https://ndownloader.figshare.com/files/1207129"], "description"=>"<div><p>Tracing the origin of nutrients is a fundamental goal of food web research but methodological issues associated with current research techniques such as using stable isotope ratios of bulk tissue can lead to confounding results. We investigated whether naturally occurring δ<sup>13</sup>C patterns among amino acids (δ<sup>13</sup>C<sub>AA</sub>) could distinguish between multiple aquatic and terrestrial primary production sources. We found that δ<sup>13</sup>C<sub>AA</sub> patterns in contrast to bulk δ<sup>13</sup>C values distinguished between carbon derived from algae, seagrass, terrestrial plants, bacteria and fungi. Furthermore, we showed for two aquatic producers that their δ<sup>13</sup>C<sub>AA</sub> patterns were largely unaffected by different environmental conditions despite substantial shifts in bulk δ<sup>13</sup>C values. The potential of assessing the major carbon sources at the base of the food web was demonstrated for freshwater, pelagic, and estuarine consumers; consumer δ<sup>13</sup>C patterns of essential amino acids largely matched those of the dominant primary producers in each system. Since amino acids make up about half of organismal carbon, source diagnostic isotope fingerprints can be used as a new complementary approach to overcome some of the limitations of variable source bulk isotope values commonly encountered in estuarine areas and other complex environments with mixed aquatic and terrestrial inputs.</p></div>", "links"=>[], "tags"=>["carbon", "sources", "aquatic", "terrestrial", "webs", "amino", "isotope"], "article_id"=>801499, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Thomas Larsen", "Marc Ventura", "Nils Andersen", "Diane M. O’Brien", "Uwe Piatkowski", "Matthew D. McCarthy"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0073441.s001", "https://dx.doi.org/10.1371/journal.pone.0073441.s002", "https://dx.doi.org/10.1371/journal.pone.0073441.s003", "https://dx.doi.org/10.1371/journal.pone.0073441.s004", "https://dx.doi.org/10.1371/journal.pone.0073441.s005", "https://dx.doi.org/10.1371/journal.pone.0073441.s006", "https://dx.doi.org/10.1371/journal.pone.0073441.s007", "https://dx.doi.org/10.1371/journal.pone.0073441.s008", "https://dx.doi.org/10.1371/journal.pone.0073441.s009", "https://dx.doi.org/10.1371/journal.pone.0073441.s010"], "stats"=>{"downloads"=>8, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Tracing_Carbon_Sources_through_Aquatic_and_Terrestrial_Food_Webs_Using_Amino_Acid_Stable_Isotope_Fingerprinting_/801499", "title"=>"Tracing Carbon Sources through Aquatic and Terrestrial Food Webs Using Amino Acid Stable Isotope Fingerprinting", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-09-17 01:53:04"}

PMC Usage Stats | Further Information

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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/Molecular biology", "average_usage"=>[272, 466, 589, 702, 806, 903, 995, 1086, 1176, 1258, 1347, 1422, 1493]}, {"subject_area"=>"/Ecology and environmental sciences", "average_usage"=>[284, 475, 603, 722, 826, 928, 1026, 1129, 1225, 1310, 1390, 1468, 1549]}, {"subject_area"=>"/Ecology and environmental sciences/Ecology", "average_usage"=>[298, 487, 610, 722, 827, 929, 1029, 1125, 1217, 1306, 1388, 1464, 1535]}, {"subject_area"=>"/Ecology and environmental sciences/Ecosystems", "average_usage"=>[284, 427]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[254, 431, 547, 651, 748, 842, 932, 1017, 1098, 1178, 1259, 1336, 1404]}, {"subject_area"=>"/Physical sciences/Physics", "average_usage"=>[254, 421, 527, 626, 720, 813, 900, 983, 1063, 1136, 1210, 1283, 1342]}]}
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