From puffins to plankton: a DNA-based analysis of a seabird food chain in the northern Gulf of Maine
The predator-prey interactions within food chains are used to both characterize and understand ecosystems. Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or comp...
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description | The predator-prey interactions within food chains are used to both characterize and understand ecosystems. Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. We identified more unique prey with our 16S compared to CO1 barcoding markers (51 and 39 taxa respectively) with only 12 taxa identified by both genes. We found no significant difference between the 16S-identified diets of puffin adults (n=17) and chicks (n=41). Our molecular method is more taxonomically resolved and detected chick prey at higher frequencies than conventional field observations. Many likely planktonic prey of herring were detected in feces from puffin adults and chicks, highlighting the impact secondary consumption may have on the interpretation of molecular dietary analysis. This study represents the first simultaneous molecular investigation into the diet of multiple components of a food chain and highlights the utility of a multi-locus approach to diet reconstruction that is broadly applicable to food web analysis. |
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Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. We identified more unique prey with our 16S compared to CO1 barcoding markers (51 and 39 taxa respectively) with only 12 taxa identified by both genes. We found no significant difference between the 16S-identified diets of puffin adults (n=17) and chicks (n=41). Our molecular method is more taxonomically resolved and detected chick prey at higher frequencies than conventional field observations. Many likely planktonic prey of herring were detected in feces from puffin adults and chicks, highlighting the impact secondary consumption may have on the interpretation of molecular dietary analysis. This study represents the first simultaneous molecular investigation into the diet of multiple components of a food chain and highlights the utility of a multi-locus approach to diet reconstruction that is broadly applicable to food web analysis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0083152</identifier><identifier>PMID: 24358258</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adults ; Analysis ; Animals ; Aquatic birds ; Auks ; Bar codes ; Charadriiformes - genetics ; Chickens ; Chicks ; Clupea harengus ; Deoxyribonucleic acid ; Diet ; DNA ; DNA - analysis ; DNA Barcoding, Taxonomic ; DNA sequencing ; Ecosystem biology ; Ecosystems ; Electron Transport Complex IV - analysis ; Electron Transport Complex IV - genetics ; Feces ; Fishes ; Fishes - genetics ; Food Chain ; Food chains ; Food quality ; Food webs ; Foraging behavior ; Fratercula arctica ; Gastrointestinal Contents - chemistry ; Gene sequencing ; High-Throughput Nucleotide Sequencing ; Identification methods ; Juveniles ; Laboratories ; Loci ; Maine ; Marine biology ; Markers ; Plankton ; Plankton - genetics ; Predator-prey interactions ; Prey ; Reconstruction ; RNA, Ribosomal, 16S - analysis ; RNA, Ribosomal, 16S - genetics ; Stomach ; Studies ; Taxa ; Taxonomy ; Uria aalge</subject><ispartof>PloS one, 2013-12, Vol.8 (12), p.e83152-e83152</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Bowser et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Bowser et al 2013 Bowser et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-3f796b09b4d2487c62a61e2dab08a2c44e871fd19c3ebb1a3b48886e71d370603</citedby><cites>FETCH-LOGICAL-c692t-3f796b09b4d2487c62a61e2dab08a2c44e871fd19c3ebb1a3b48886e71d370603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3865145/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3865145/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24358258$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Stow, Adam</contributor><creatorcontrib>Bowser, A Kirsten</creatorcontrib><creatorcontrib>Diamond, Antony W</creatorcontrib><creatorcontrib>Addison, Jason A</creatorcontrib><title>From puffins to plankton: a DNA-based analysis of a seabird food chain in the northern Gulf of Maine</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The predator-prey interactions within food chains are used to both characterize and understand ecosystems. Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. 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Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. We identified more unique prey with our 16S compared to CO1 barcoding markers (51 and 39 taxa respectively) with only 12 taxa identified by both genes. We found no significant difference between the 16S-identified diets of puffin adults (n=17) and chicks (n=41). Our molecular method is more taxonomically resolved and detected chick prey at higher frequencies than conventional field observations. Many likely planktonic prey of herring were detected in feces from puffin adults and chicks, highlighting the impact secondary consumption may have on the interpretation of molecular dietary analysis. This study represents the first simultaneous molecular investigation into the diet of multiple components of a food chain and highlights the utility of a multi-locus approach to diet reconstruction that is broadly applicable to food web analysis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24358258</pmid><doi>10.1371/journal.pone.0083152</doi><tpages>e83152</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adults Analysis Animals Aquatic birds Auks Bar codes Charadriiformes - genetics Chickens Chicks Clupea harengus Deoxyribonucleic acid Diet DNA DNA - analysis DNA Barcoding, Taxonomic DNA sequencing Ecosystem biology Ecosystems Electron Transport Complex IV - analysis Electron Transport Complex IV - genetics Feces Fishes Fishes - genetics Food Chain Food chains Food quality Food webs Foraging behavior Fratercula arctica Gastrointestinal Contents - chemistry Gene sequencing High-Throughput Nucleotide Sequencing Identification methods Juveniles Laboratories Loci Maine Marine biology Markers Plankton Plankton - genetics Predator-prey interactions Prey Reconstruction RNA, Ribosomal, 16S - analysis RNA, Ribosomal, 16S - genetics Stomach Studies Taxa Taxonomy Uria aalge |
title | From puffins to plankton: a DNA-based analysis of a seabird food chain in the northern Gulf of Maine |
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