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  5. <title>UTas ePrints - DNA-based Methods for Studying the Diet of Marine Predators</title>
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  13. <meta content="Deagle, Bruce. E." name="eprints.creators_name" />
  14. <meta content="thesis" name="eprints.type" />
  15. <meta content="2007-05-18" name="eprints.datestamp" />
  16. <meta content="2008-01-08 15:30:00" name="eprints.lastmod" />
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  18. <meta content="DNA-based Methods for Studying the Diet of
  19. Marine Predators" name="eprints.title" />
  20. <meta content="unpub" name="eprints.ispublished" />
  21. <meta content="270702" name="eprints.subjects" />
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  23. <meta content="marine, fish, diet, DNA" name="eprints.keywords" />
  24. <meta content="Diets of large marine predators have been extensively studied to assess
  25. interactions with fisheries, monitor links between diet and reproductive success, and
  26. understand trophic interactions in marine ecosystems. Since marine species can rarely
  27. be observed foraging directly, most studies rely on the identification of prey remains
  28. in stomach contents or faeces to determine the prey items being consumed. While this
  29. approach has provided a wealth of information, it has several limitations resulting
  30. primarily from difficulties identifying digested prey and from biased recovery of
  31. remains due to differential digestion. My thesis explores the use of molecular genetic
  32. methods in dietary studies of large marine predators. DNA-based identification
  33. techniques have been used in several diet studies, but the methods and applications
  34. are still in the early stages of development. Through a number of studies, I
  35. investigated the ability to recover genetic data from various dietary samples using a
  36. range of genetic techniques.
  37. A) Genetic screening for prey in the gut contents from a giant squid - I assessed the
  38. use of polymerase chain reaction (PCR)-based methods for isolation of prey DNA
  39. from an Architeuthis gut content sample. A taxonomically informative molecular
  40. marker was selected and a screening method developed using denaturing gradient gel
  41. electrophoresis. The methodology was used to identify prey from otherwise
  42. unidentifiable hard-part remains and the amorphous slurry component of the squid gut
  43. sample. The techniques developed here provided a framework for later chapters.
  44. B) Analysis of prey DNA in faeces of captive sea lions
  45. Part I: DNA detection, distribution and signal persistence - A feeding trial with
  46. captive Steller sea lions (Eumetopias jubatus) was carried out to investigate the use of
  47. genetic faecal analysis as a tool to study diet. I used group-specific PCR detection to
  48. determine: (i) the reliability of prey DNA recovery, (ii) the distribution of prey DNA
  49. within faeces and (iii) the persistence of the genetic signal after a prey item was
  50. removed from the diet. The proportions of prey DNA in several samples were also
  51. determined using a clone library approach to determine if DNA quantification could
  52. provide semi-quantitative diet composition data. Results show that the prey DNA
  53. could be reliably detected in sea lion faeces and the genetic signal could persist in
  54. samples up to 48 hours after ingestion. Proportions of prey DNA isolated from faeces
  55. were roughly proportional to the mass of the prey items consumed.
  56. Part II: DNA quantification - Quantitative real-time PCR was used to further
  57. investigate if quantitative diet composition data could be obtained through
  58. quantification of the DNA present in faeces. I quantified the relative amounts of DNA
  59. in three fish species being fed to captive sea lions, then determined the amount of
  60. DNA recovered from these prey items in the sea lions - faeces. The results indicate
  61. that diet composition estimates based on the relative amounts of DNA in faeces can
  62. be biased due to the differential survival of DNA from different fish species; however,
  63. these biases may be less than those commonly observed in the conventional analysis
  64. of prey hard remains. C) Quantification of damage in DNA recovered from faecal samples - I developed a
  65. general method to quantify the frequency of DNA damage present in specific gene
  66. regions. The technique was applied to assess the amount of DNA damage in predator
  67. and prey DNA recovered from sea lion faeces. The estimated frequency of DNA
  68. damage was always higher for the prey DNA than for the predator DNA within a
  69. faecal sample. The findings have implications for marker development and
  70. comparison of results obtained in future DNA-based diet studies.
  71. D) Studying seabird diet through genetic analysis of faeces - I investigated the diet of
  72. macaroni penguins (Eudyptes chrysolophus) through conventional analysis of
  73. stomach contents and through the analysis of prey DNA extracted from faeces.
  74. Genetic data was obtained from faecal samples using PCR tests to determine the
  75. presence or absence of DNA from potential diet items and also using a clone library
  76. approach. Approximately half of the faecal samples tested positive for one or more of
  77. the prey groups targeted with PCR tests. Euphausiid DNA was most commonly
  78. detected in early stages of chick rearing and DNA from a myctophid fish was
  79. prevalent in faeces collected later; this trend mirrored the data obtained from the
  80. stomach contents. Analysis of prey sequences in 'universal'clone libraries revealed a
  81. highly biased recovery of sequences from fish prey; this bias is most likely caused by
  82. the use of degenerate primers with a higher binding affinity for fish DNA template
  83. compared to DNA from other prey groups. Results obtained from the genetic and
  84. traditional approaches are compared, and potential future applications of the genetic
  85. techniques to studying seabird diet are discussed.
  86. This series of studies has contributed significantly to our understanding of the
  87. strengths and the limitations of DNA-based diet analysis. The work identifies
  88. situations where genetic methods can be successfully applied to study the diet of
  89. marine predators and provides guidance for future studies in this emerging field." name="eprints.abstract" />
  90. <meta content="2006-03" name="eprints.date" />
  91. <meta content="published" name="eprints.date_type" />
  92. <meta content="University of Tasmania" name="eprints.institution" />
  93. <meta content="School of Zoology" name="eprints.department" />
  94. <meta content="phd" name="eprints.thesis_type" />
  95. <meta content="Deagle, Bruce. E. (2006) DNA-based Methods for Studying the Diet of Marine Predators. PhD thesis, University of Tasmania." name="eprints.citation" />
  96. <meta content="http://eprints.utas.edu.au/1046/1/01Front.pdf" name="eprints.document_url" />
  97. <meta content="http://eprints.utas.edu.au/1046/2/02Whole.pdf" name="eprints.document_url" />
  98. <link rel="schema.DC" href="http://purl.org/DC/elements/1.0/" />
  99. <meta content="DNA-based Methods for Studying the Diet of
  100. Marine Predators" name="DC.title" />
  101. <meta content="Deagle, Bruce. E." name="DC.creator" />
  102. <meta content="270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)" name="DC.subject" />
  103. <meta content="Diets of large marine predators have been extensively studied to assess
  104. interactions with fisheries, monitor links between diet and reproductive success, and
  105. understand trophic interactions in marine ecosystems. Since marine species can rarely
  106. be observed foraging directly, most studies rely on the identification of prey remains
  107. in stomach contents or faeces to determine the prey items being consumed. While this
  108. approach has provided a wealth of information, it has several limitations resulting
  109. primarily from difficulties identifying digested prey and from biased recovery of
  110. remains due to differential digestion. My thesis explores the use of molecular genetic
  111. methods in dietary studies of large marine predators. DNA-based identification
  112. techniques have been used in several diet studies, but the methods and applications
  113. are still in the early stages of development. Through a number of studies, I
  114. investigated the ability to recover genetic data from various dietary samples using a
  115. range of genetic techniques.
  116. A) Genetic screening for prey in the gut contents from a giant squid - I assessed the
  117. use of polymerase chain reaction (PCR)-based methods for isolation of prey DNA
  118. from an Architeuthis gut content sample. A taxonomically informative molecular
  119. marker was selected and a screening method developed using denaturing gradient gel
  120. electrophoresis. The methodology was used to identify prey from otherwise
  121. unidentifiable hard-part remains and the amorphous slurry component of the squid gut
  122. sample. The techniques developed here provided a framework for later chapters.
  123. B) Analysis of prey DNA in faeces of captive sea lions
  124. Part I: DNA detection, distribution and signal persistence - A feeding trial with
  125. captive Steller sea lions (Eumetopias jubatus) was carried out to investigate the use of
  126. genetic faecal analysis as a tool to study diet. I used group-specific PCR detection to
  127. determine: (i) the reliability of prey DNA recovery, (ii) the distribution of prey DNA
  128. within faeces and (iii) the persistence of the genetic signal after a prey item was
  129. removed from the diet. The proportions of prey DNA in several samples were also
  130. determined using a clone library approach to determine if DNA quantification could
  131. provide semi-quantitative diet composition data. Results show that the prey DNA
  132. could be reliably detected in sea lion faeces and the genetic signal could persist in
  133. samples up to 48 hours after ingestion. Proportions of prey DNA isolated from faeces
  134. were roughly proportional to the mass of the prey items consumed.
  135. Part II: DNA quantification - Quantitative real-time PCR was used to further
  136. investigate if quantitative diet composition data could be obtained through
  137. quantification of the DNA present in faeces. I quantified the relative amounts of DNA
  138. in three fish species being fed to captive sea lions, then determined the amount of
  139. DNA recovered from these prey items in the sea lions - faeces. The results indicate
  140. that diet composition estimates based on the relative amounts of DNA in faeces can
  141. be biased due to the differential survival of DNA from different fish species; however,
  142. these biases may be less than those commonly observed in the conventional analysis
  143. of prey hard remains. C) Quantification of damage in DNA recovered from faecal samples - I developed a
  144. general method to quantify the frequency of DNA damage present in specific gene
  145. regions. The technique was applied to assess the amount of DNA damage in predator
  146. and prey DNA recovered from sea lion faeces. The estimated frequency of DNA
  147. damage was always higher for the prey DNA than for the predator DNA within a
  148. faecal sample. The findings have implications for marker development and
  149. comparison of results obtained in future DNA-based diet studies.
  150. D) Studying seabird diet through genetic analysis of faeces - I investigated the diet of
  151. macaroni penguins (Eudyptes chrysolophus) through conventional analysis of
  152. stomach contents and through the analysis of prey DNA extracted from faeces.
  153. Genetic data was obtained from faecal samples using PCR tests to determine the
  154. presence or absence of DNA from potential diet items and also using a clone library
  155. approach. Approximately half of the faecal samples tested positive for one or more of
  156. the prey groups targeted with PCR tests. Euphausiid DNA was most commonly
  157. detected in early stages of chick rearing and DNA from a myctophid fish was
  158. prevalent in faeces collected later; this trend mirrored the data obtained from the
  159. stomach contents. Analysis of prey sequences in 'universal'clone libraries revealed a
  160. highly biased recovery of sequences from fish prey; this bias is most likely caused by
  161. the use of degenerate primers with a higher binding affinity for fish DNA template
  162. compared to DNA from other prey groups. Results obtained from the genetic and
  163. traditional approaches are compared, and potential future applications of the genetic
  164. techniques to studying seabird diet are discussed.
  165. This series of studies has contributed significantly to our understanding of the
  166. strengths and the limitations of DNA-based diet analysis. The work identifies
  167. situations where genetic methods can be successfully applied to study the diet of
  168. marine predators and provides guidance for future studies in this emerging field." name="DC.description" />
  169. <meta content="2006-03" name="DC.date" />
  170. <meta content="Thesis" name="DC.type" />
  171. <meta content="NonPeerReviewed" name="DC.type" />
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  176. <meta content="Deagle, Bruce. E. (2006) DNA-based Methods for Studying the Diet of Marine Predators. PhD thesis, University of Tasmania." name="DC.identifier" />
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  281. <h1 class="ep_tm_pagetitle">DNA-based Methods for Studying the Diet of Marine Predators</h1>
  282. <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Deagle, Bruce. E.</span> (2006) <xhtml:em>DNA-based Methods for Studying the Diet of Marine Predators.</xhtml:em> PhD thesis, University of Tasmania.</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a onmouseover="EPJS_ShowPreview( event, 'doc_preview_1225' );" href="http://eprints.utas.edu.au/1046/1/01Front.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_1225' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_1225"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/1046/thumbnails/1/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/1046/1/01Front.pdf"><span class="ep_document_citation">PDF (Front Matter)</span></a> - Requires a PDF viewer<br />80Kb</td></tr><tr><td valign="top" style="text-align:center"><a onmouseover="EPJS_ShowPreview( event, 'doc_preview_1226' );" href="http://eprints.utas.edu.au/1046/2/02Whole.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_1226' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_1226"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/1046/thumbnails/2/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/1046/2/02Whole.pdf"><span class="ep_document_citation">PDF (Whole Thesis)</span></a> - Requires a PDF viewer<br />2250Kb</td></tr></table><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Diets of large marine predators have been extensively studied to assess
  283. interactions with fisheries, monitor links between diet and reproductive success, and
  284. understand trophic interactions in marine ecosystems. Since marine species can rarely
  285. be observed foraging directly, most studies rely on the identification of prey remains
  286. in stomach contents or faeces to determine the prey items being consumed. While this
  287. approach has provided a wealth of information, it has several limitations resulting
  288. primarily from difficulties identifying digested prey and from biased recovery of
  289. remains due to differential digestion. My thesis explores the use of molecular genetic
  290. methods in dietary studies of large marine predators. DNA-based identification
  291. techniques have been used in several diet studies, but the methods and applications
  292. are still in the early stages of development. Through a number of studies, I
  293. investigated the ability to recover genetic data from various dietary samples using a
  294. range of genetic techniques.
  295. A) Genetic screening for prey in the gut contents from a giant squid - I assessed the
  296. use of polymerase chain reaction (PCR)-based methods for isolation of prey DNA
  297. from an Architeuthis gut content sample. A taxonomically informative molecular
  298. marker was selected and a screening method developed using denaturing gradient gel
  299. electrophoresis. The methodology was used to identify prey from otherwise
  300. unidentifiable hard-part remains and the amorphous slurry component of the squid gut
  301. sample. The techniques developed here provided a framework for later chapters.
  302. B) Analysis of prey DNA in faeces of captive sea lions
  303. Part I: DNA detection, distribution and signal persistence - A feeding trial with
  304. captive Steller sea lions (Eumetopias jubatus) was carried out to investigate the use of
  305. genetic faecal analysis as a tool to study diet. I used group-specific PCR detection to
  306. determine: (i) the reliability of prey DNA recovery, (ii) the distribution of prey DNA
  307. within faeces and (iii) the persistence of the genetic signal after a prey item was
  308. removed from the diet. The proportions of prey DNA in several samples were also
  309. determined using a clone library approach to determine if DNA quantification could
  310. provide semi-quantitative diet composition data. Results show that the prey DNA
  311. could be reliably detected in sea lion faeces and the genetic signal could persist in
  312. samples up to 48 hours after ingestion. Proportions of prey DNA isolated from faeces
  313. were roughly proportional to the mass of the prey items consumed.
  314. Part II: DNA quantification - Quantitative real-time PCR was used to further
  315. investigate if quantitative diet composition data could be obtained through
  316. quantification of the DNA present in faeces. I quantified the relative amounts of DNA
  317. in three fish species being fed to captive sea lions, then determined the amount of
  318. DNA recovered from these prey items in the sea lions - faeces. The results indicate
  319. that diet composition estimates based on the relative amounts of DNA in faeces can
  320. be biased due to the differential survival of DNA from different fish species; however,
  321. these biases may be less than those commonly observed in the conventional analysis
  322. of prey hard remains. C) Quantification of damage in DNA recovered from faecal samples - I developed a
  323. general method to quantify the frequency of DNA damage present in specific gene
  324. regions. The technique was applied to assess the amount of DNA damage in predator
  325. and prey DNA recovered from sea lion faeces. The estimated frequency of DNA
  326. damage was always higher for the prey DNA than for the predator DNA within a
  327. faecal sample. The findings have implications for marker development and
  328. comparison of results obtained in future DNA-based diet studies.
  329. D) Studying seabird diet through genetic analysis of faeces - I investigated the diet of
  330. macaroni penguins (Eudyptes chrysolophus) through conventional analysis of
  331. stomach contents and through the analysis of prey DNA extracted from faeces.
  332. Genetic data was obtained from faecal samples using PCR tests to determine the
  333. presence or absence of DNA from potential diet items and also using a clone library
  334. approach. Approximately half of the faecal samples tested positive for one or more of
  335. the prey groups targeted with PCR tests. Euphausiid DNA was most commonly
  336. detected in early stages of chick rearing and DNA from a myctophid fish was
  337. prevalent in faeces collected later; this trend mirrored the data obtained from the
  338. stomach contents. Analysis of prey sequences in 'universal'clone libraries revealed a
  339. highly biased recovery of sequences from fish prey; this bias is most likely caused by
  340. the use of degenerate primers with a higher binding affinity for fish DNA template
  341. compared to DNA from other prey groups. Results obtained from the genetic and
  342. traditional approaches are compared, and potential future applications of the genetic
  343. techniques to studying seabird diet are discussed.
  344. This series of studies has contributed significantly to our understanding of the
  345. strengths and the limitations of DNA-based diet analysis. The work identifies
  346. situations where genetic methods can be successfully applied to study the diet of
  347. marine predators and provides guidance for future studies in this emerging field.</p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Thesis (PhD)</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">marine, fish, diet, DNA</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/270702.html">270000 Biological Sciences &gt; 270700 Ecology and Evolution &gt; 270702 Marine and Estuarine Ecology (incl. Marine Ichthyology)</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">1046</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">UTas Digital Archives Librarian</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">18 May 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">09 Jan 2008 02:30</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=1046;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=1046">item control page</a></p>
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