Evaluating the Accuracy of Morphological Identification of Larval Fishes by Applying DNA Barcoding

Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level. The identification results from different laboratories are often inconsistent. This experiment aims to find out, by applying DNA barcoding, how...

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Published inPloS one Vol. 8; no. 1; p. e53451
Main Authors Ko, Hui-Ling, Wang, Yu-Tze, Chiu, Tai-Sheng, Lee, Ming-An, Leu, Ming-Yih, Chang, Kuang-Zong, Chen, Wen-Yu, Shao, Kwang-Tsao
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 31.01.2013
Public Library of Science (PLoS)
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Abstract Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level. The identification results from different laboratories are often inconsistent. This experiment aims to find out, by applying DNA barcoding, how inconsistent the identifications can be among larval fish taxonomists. One hundred morphotypes of larval fishes were chosen as test specimens. The fishes were collected with either larval fish nets or light traps in the northern, southern and northwestern waters of Taiwan. After their body lengths (SL) were measured and specimen photos were taken, all specimens were delivered, in turn, to five laboratories (A-E) in Taiwan to be identified independently. When all the results were collected, these specimens were then identified using COI barcoding. Out of a total of 100 specimens, 87 were identified to the family level, 79 to the genus level and 69 to the species level, based on the COI database currently available. The average accuracy rates of the five laboratories were quite low: 80.1% for the family level, 41.1% for the genus level, and 13.5% for the species level. If the results marked as "unidentified" were excluded from calculations, the rates went up to 75.4% and 43.7% for the genus and species levels, respectively. Thus, we suggest that larval fish identification should be more conservative; i.e., when in doubt, it is better to key only to the family and not to the genus or species level. As to the most misidentified families in our experiment, they were Sparidae, Scorpaenidae, Scombridae, Serranidae and Malacanthidae. On the other hand, Mene maculata and Microcanthus strigatus were all correctly identified to the species level because their larvae have distinct morphology. Nevertheless, barcoding remains one of the best methods to confirm species identification.
AbstractList Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level. The identification results from different laboratories are often inconsistent. This experiment aims to find out, by applying DNA barcoding, how inconsistent the identifications can be among larval fish taxonomists. One hundred morphotypes of larval fishes were chosen as test specimens. The fishes were collected with either larval fish nets or light traps in the northern, southern and northwestern waters of Taiwan. After their body lengths (SL) were measured and specimen photos were taken, all specimens were delivered, in turn, to five laboratories (A-E) in Taiwan to be identified independently. When all the results were collected, these specimens were then identified using COI barcoding. Out of a total of 100 specimens, 87 were identified to the family level, 79 to the genus level and 69 to the species level, based on the COI database currently available. The average accuracy rates of the five laboratories were quite low: 80.1% for the family level, 41.1% for the genus level, and 13.5% for the species level. If the results marked as "unidentified" were excluded from calculations, the rates went up to 75.4% and 43.7% for the genus and species levels, respectively. Thus, we suggest that larval fish identification should be more conservative; i.e., when in doubt, it is better to key only to the family and not to the genus or species level. As to the most misidentified families in our experiment, they were Sparidae, Scorpaenidae, Scombridae, Serranidae and Malacanthidae. On the other hand, Mene maculata and Microcanthus strigatus were all correctly identified to the species level because their larvae have distinct morphology. Nevertheless, barcoding remains one of the best methods to confirm species identification.
Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level. The identification results from different laboratories are often inconsistent. This experiment aims to find out, by applying DNA barcoding, how inconsistent the identifications can be among larval fish taxonomists. One hundred morphotypes of larval fishes were chosen as test specimens. The fishes were collected with either larval fish nets or light traps in the northern, southern and northwestern waters of Taiwan. After their body lengths (SL) were measured and specimen photos were taken, all specimens were delivered, in turn, to five laboratories (A-E) in Taiwan to be identified independently. When all the results were collected, these specimens were then identified using COI barcoding. Out of a total of 100 specimens, 87 were identified to the family level, 79 to the genus level and 69 to the species level, based on the COI database currently available. The average accuracy rates of the five laboratories were quite low: 80.1% for the family level, 41.1% for the genus level, and 13.5% for the species level. If the results marked as "unidentified" were excluded from calculations, the rates went up to 75.4% and 43.7% for the genus and species levels, respectively. Thus, we suggest that larval fish identification should be more conservative; i.e., when in doubt, it is better to key only to the family and not to the genus or species level. As to the most misidentified families in our experiment, they were Sparidae, Scorpaenidae, Scombridae, Serranidae and Malacanthidae. On the other hand, Mene maculata and Microcanthus strigatus were all correctly identified to the species level because their larvae have distinct morphology. Nevertheless, barcoding remains one of the best methods to confirm species identification.Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level. The identification results from different laboratories are often inconsistent. This experiment aims to find out, by applying DNA barcoding, how inconsistent the identifications can be among larval fish taxonomists. One hundred morphotypes of larval fishes were chosen as test specimens. The fishes were collected with either larval fish nets or light traps in the northern, southern and northwestern waters of Taiwan. After their body lengths (SL) were measured and specimen photos were taken, all specimens were delivered, in turn, to five laboratories (A-E) in Taiwan to be identified independently. When all the results were collected, these specimens were then identified using COI barcoding. Out of a total of 100 specimens, 87 were identified to the family level, 79 to the genus level and 69 to the species level, based on the COI database currently available. The average accuracy rates of the five laboratories were quite low: 80.1% for the family level, 41.1% for the genus level, and 13.5% for the species level. If the results marked as "unidentified" were excluded from calculations, the rates went up to 75.4% and 43.7% for the genus and species levels, respectively. Thus, we suggest that larval fish identification should be more conservative; i.e., when in doubt, it is better to key only to the family and not to the genus or species level. As to the most misidentified families in our experiment, they were Sparidae, Scorpaenidae, Scombridae, Serranidae and Malacanthidae. On the other hand, Mene maculata and Microcanthus strigatus were all correctly identified to the species level because their larvae have distinct morphology. Nevertheless, barcoding remains one of the best methods to confirm species identification.
Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level. The identification results from different laboratories are often inconsistent. This experiment aims to find out, by applying DNA barcoding, how inconsistent the identifications can be among larval fish taxonomists. One hundred morphotypes of larval fishes were chosen as test specimens. The fishes were collected with either larval fish nets or light traps in the northern, southern and northwestern waters of Taiwan. After their body lengths (SL) were measured and specimen photos were taken, all specimens were delivered, in turn, to five laboratories (A–E) in Taiwan to be identified independently. When all the results were collected, these specimens were then identified using COI barcoding. Out of a total of 100 specimens, 87 were identified to the family level, 79 to the genus level and 69 to the species level, based on the COI database currently available. The average accuracy rates of the five laboratories were quite low: 80.1% for the family level, 41.1% for the genus level, and 13.5% for the species level. If the results marked as “unidentified” were excluded from calculations, the rates went up to 75.4% and 43.7% for the genus and species levels, respectively. Thus, we suggest that larval fish identification should be more conservative; i.e., when in doubt, it is better to key only to the family and not to the genus or species level. As to the most misidentified families in our experiment, they were Sparidae, Scorpaenidae, Scombridae, Serranidae and Malacanthidae. On the other hand, Mene maculata and Microcanthus strigatus were all correctly identified to the species level because their larvae have distinct morphology. Nevertheless, barcoding remains one of the best methods to confirm species identification.
Audience Academic
Author Chiu, Tai-Sheng
Lee, Ming-An
Chen, Wen-Yu
Ko, Hui-Ling
Wang, Yu-Tze
Chang, Kuang-Zong
Shao, Kwang-Tsao
Leu, Ming-Yih
AuthorAffiliation 2 Fisheries Research Institute, Council of Agriculture, Keelung, Taiwan
1 Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
5 Department of Biology, National Museum of Marine Biology and Aquarium, Pingtung, Taiwan
4 Center of Excellence for Marine Bioenvironment and Biotechnology, National Taiwan Ocean University, Keelung, Taiwan
3 Institute of Zoology, College of Life Science, National Taiwan University, Taipei, Taiwan
University of Hamburg, Germany
AuthorAffiliation_xml – name: 1 Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
– name: University of Hamburg, Germany
– name: 4 Center of Excellence for Marine Bioenvironment and Biotechnology, National Taiwan Ocean University, Keelung, Taiwan
– name: 2 Fisheries Research Institute, Council of Agriculture, Keelung, Taiwan
– name: 3 Institute of Zoology, College of Life Science, National Taiwan University, Taipei, Taiwan
– name: 5 Department of Biology, National Museum of Marine Biology and Aquarium, Pingtung, Taiwan
Author_xml – sequence: 1
  givenname: Hui-Ling
  surname: Ko
  fullname: Ko, Hui-Ling
– sequence: 2
  givenname: Yu-Tze
  surname: Wang
  fullname: Wang, Yu-Tze
– sequence: 3
  givenname: Tai-Sheng
  surname: Chiu
  fullname: Chiu, Tai-Sheng
– sequence: 4
  givenname: Ming-An
  surname: Lee
  fullname: Lee, Ming-An
– sequence: 5
  givenname: Ming-Yih
  surname: Leu
  fullname: Leu, Ming-Yih
– sequence: 6
  givenname: Kuang-Zong
  surname: Chang
  fullname: Chang, Kuang-Zong
– sequence: 7
  givenname: Wen-Yu
  surname: Chen
  fullname: Chen, Wen-Yu
– sequence: 8
  givenname: Kwang-Tsao
  surname: Shao
  fullname: Shao, Kwang-Tsao
BackLink https://www.ncbi.nlm.nih.gov/pubmed/23382845$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright COPYRIGHT 2013 Public Library of Science
2013 Ko et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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.
2013 Ko et al 2013 Ko et al
Copyright_xml – notice: COPYRIGHT 2013 Public Library of Science
– notice: 2013 Ko et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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.
– notice: 2013 Ko et al 2013 Ko et al
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Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: KTS HLK. Performed the experiments: YTW KZC WYC MYL HLK. Analyzed the data: KTS HLK. Contributed reagents/materials/analysis tools: KTS HLK TSC MAL YTW MYL. Wrote the paper: KTS HLK.
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Snippet Due to insufficient morphological diagnostic characters in larval fishes, it is easy to misidentify them and difficult to key to the genus or species level....
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SubjectTerms Animals
Bar codes
Biodiversity
Biology
Biotechnology
Coral reefs
Deoxyribonucleic acid
Diagnostic systems
DNA
DNA barcoding
DNA Barcoding, Taxonomic
Electron Transport Complex IV - genetics
Fish
Fisheries
Fishes
Fishes - genetics
Fishing
Gene sequencing
Genomics
Identification
Identification methods
Integrated software
Laboratories
Laboratory tests
Larva - genetics
Larvae
Life sciences
Light traps
Marine biology
Mitochondrial DNA
Morphology
Museums
Perciformes
Phylogeny
Sequence Analysis, DNA
Species
Species Specificity
Taiwan
Zoology
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Title Evaluating the Accuracy of Morphological Identification of Larval Fishes by Applying DNA Barcoding
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