1Department of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, IPB University, Indonesia
2Oceanogen Research Center, Indonesia
3Department of Marine Science and Technology, Faculty of Fisheries and Marine Sciences, IPB University, Indonesia
4 Department of Fisheries, Faculty of Animal Husbandary, University Jambi, Indonesia
5 Department of Biological Sciences, University of Rhode Island, United States
BibTex Citation Data :
@article{IK.IJMS61208, author = {Inna Ayu and Ali Mashar and Yusli Wardiatno and Nurlisa A. Butet and L. Mukhsin Iqbal Sani and Nadya Jeny Irianda and Hawis Madduppa and Ester R. E. Gelis and Christopher Lane and Erin Borbee and Beginer Subhan}, title = {DNA Barcoding and Phylogenetic Analysis of Commercially Important Groupers (Serranidae) in Raja Ampat using gene marker Cytochrome c Oxidase I (COI)}, journal = {ILMU KELAUTAN: Indonesian Journal of Marine Sciences}, volume = {29}, number = {3}, year = {2024}, keywords = {Waisai; Reef Fish; Fish Trade; Mitochondrial DNA; DNA authentication}, abstract = { Groupers are one of the most important and commercial fishes; many of the species are classified as Life Reef Fish Trade (LRFT). The number of grouper species in these locations may be more diverse than at other sites. Identifying the species number of a grouper is essential for mapping reef fitness. However, morphological identification of groupers is relatively difficult. Molecular methods such as DNA barcoding could be an option and even serve as reliable validation. Therefore, this research was conducted to identify groupers belonging to the Serranidae family. The grouper samples were obtained from the fish market in Waisai, Raja Ampat, Indonesia. The DNA barcoding employed the COI genes to accurately identify groupers. The Qiagen DNeasy 96 tissue extraction kit was used to extract DNA, and Primer Fish F1/R1 was applied. The sequences were analysed using ClustalW in MEGA 7.0 and phylogenetic tree was generated using the NJ (Neighbour Joining) method. Eleven species of groupers belonging to five taxa were discovered in Waisai, Raja Ampat. Anyperodon, Cephalopholis, Epinephelus, Plectropomus , and Variola are the grouper genera. Epinephelus was the predominant genus within the serranidae family, with 51.4% of the total . The International Union for Conservation of Nature's (IUCN) Red List category puts the majority of grouper species in the 'Least Concerned' category. This study confirmed the effectiveness of DNA barcoding for species identification and the value of the COI gene for Grouper's phylogenetic research. The outcome offers information about fisheries resources, which should be helpful in managing fisheries in reef ecosystems. }, issn = {2406-7598}, pages = {321--328} doi = {10.14710/ik.ijms.29.3.321-328}, url = {https://ejournal.undip.ac.id/index.php/ijms/article/view/61208} }
Refworks Citation Data :
Groupers are one of the most important and commercial fishes; many of the species are classified as Life Reef Fish Trade (LRFT). The number of grouper species in these locations may be more diverse than at other sites. Identifying the species number of a grouper is essential for mapping reef fitness. However, morphological identification of groupers is relatively difficult. Molecular methods such as DNA barcoding could be an option and even serve as reliable validation. Therefore, this research was conducted to identify groupers belonging to the Serranidae family. The grouper samples were obtained from the fish market in Waisai, Raja Ampat, Indonesia. The DNA barcoding employed the COI genes to accurately identify groupers. The Qiagen DNeasy 96 tissue extraction kit was used to extract DNA, and Primer Fish F1/R1 was applied. The sequences were analysed using ClustalW in MEGA 7.0 and phylogenetic tree was generated using the NJ (Neighbour Joining) method. Eleven species of groupers belonging to five taxa were discovered in Waisai, Raja Ampat. Anyperodon, Cephalopholis, Epinephelus, Plectropomus, and Variola are the grouper genera. Epinephelus was the predominant genus within the serranidae family, with 51.4% of the total. The International Union for Conservation of Nature's (IUCN) Red List category puts the majority of grouper species in the 'Least Concerned' category. This study confirmed the effectiveness of DNA barcoding for species identification and the value of the COI gene for Grouper's phylogenetic research. The outcome offers information about fisheries resources, which should be helpful in managing fisheries in reef ecosystems.
Article Metrics:
Last update:
Last update: 2024-12-21 12:31:40
Copy this form and after filling it, please send it to ijms@live.undip.ac.id:
COPYRIGHT TRANSFER STATEMENT
When this article is accepted for publication, its copyright is transferred to ILMU KELAUTAN Indonesian Journal of Marine Sciences, UNDIP. The copyright transfer covers the non exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The author warrants that this article is original and that the author has full power to publish. The author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. In regard to all kind of plagiarism in this manuscript, if any, only the author(s) will take full responsibility. If the article is based on or part of student’s skripsi, thesis or dissertation, the student needs to sign as his/her agreement that his/her works is going to be published.
Title of article :...........................................................................................................................Name of Author(s) :...........................................................................................................................Author’s signature :...........................................................................................................................Date :...........................................................................................................................
View My Stats