• Title/Summary/Keyword: 바다생물 데이터베이스

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Development of Marine Life Database (바다생물 데이터베이스 개발)

  • Yang, Ki-Sung;Choi, Seung-Chul;Kim, Hyun-Jung;Yun, Hong-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1077-1079
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    • 2005
  • The development of marine life database is insufficient and information service through internet is short now. We collect and analysis data of marine life and develop the database and provide information about marine life through internet. Also internet shopping, news, leisure information are serviced.

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Marine Metatranscriptome Profiling in the Sea Adjacent to Jeju Island, Korea, by RNA-sequencing (RNA-sequencing을 이용한 제주도 인접 바다의 메타전사체 프로파일링)

  • Hwang, Jinik;Kang, Mingyeong;Kim, Kang Eun;Jung, Seung Won;Lee, Taek-Kyun
    • Journal of Life Science
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    • v.30 no.7
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    • pp.625-629
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    • 2020
  • The Ocean is a rich source of diverse living organisms include viruses. In this study, we examined the microbial communities in the sea adjacent to Jeju Island in two seasons by metatranscriptomics. We collected and extracted total RNA, and, using the next-generation sequencing HiSeq 2000 and de novo transcriptome assembly, we identified 652,984 and 163,759 transcripts from the March and December samples, respectively. The most abundant organisms in March were bacteria, while eukaryotes were dominant in the December sample. The bacterial communities differed between the two samples, suggesting seasonal change. To identify the viruses, we searched the transcripts against a viral reference database using MegaBLAST with the most identified being bacteriophages infecting the marine bacteria. However, we also revealed an abundance of transcripts associated with diverse herpesviruses in the two transcriptomes, indicating the presence or possible threat of infection of fish in the sea around Jeju Island. This data is valuable for the study of marine microbial communities and for identifying possible viral pathogens.

Estimating the Size Effect on Relative Species Number in Macrobenthic Community (대형 저서동물 군집의 채집 면적이 상대적 출현 종수에 갖는 효과의 추정)

  • 유재원;김창수;박미라;이형곤;이창근;이재학;홍재상
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.9 no.1
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    • pp.20-29
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    • 2004
  • Macrobenthos species-area relationship was investigated and empirical models were estimated to enable comparisons among species numbers of different sample size. The study aims to choose a way to predict cumulative relative species number (CRSN) in a given sample size Saemangeum, located in the west coast of South Korea, were visited in Apr., May and Aug.,2002 and a total of 261 biological samples from 87 stations were obtained by employing a quantitative sediment sampler, Smith-McIntyre grab and design of 3 replicates at each station. Relative species numbers (%) were baselined at sample size of 1000 $\textrm{cm}^2$ and the patterns of CRSN along the axis of sample size were measured and observed. In correlation analysis performed on a set of abiotic and biotic variables, log-transformed CRSN showed the only significant relationship with log-transformed density. Based on the result, three models, Log CRSN 2000, Log CRSN 3000 and Log CRSN were produced. The former two were devised to predict CRSN at 2000 and 3000 $\textrm{cm}^2$ respectively, and the latter at various sample sizes and samplers (all p-values were <0.001). Database from other studies (intertidal or subtidal macrofaunal samples from Kyonggi Bay and Saemangeum) were used to evaluate validity of the models. Observed CRSN below sample size of 3000 $\textrm{cm}^2$ fell under the range of 95% prediction interval and this was appeared to provide reliability of the models below that sample size.

Species Identification and Labeling Compliance Monitoring of Commercial Shrimp Products Sold in Online Markets of South Korea (국내 온라인 유통 새우 제품의 종판별 및 표시사항 모니터링 연구)

  • Kun Hee Kim;Ji Young Lee;Tae Sun Kang
    • Journal of Food Hygiene and Safety
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    • v.38 no.6
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    • pp.496-507
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    • 2023
  • This study investigated species identification and labeling compliance of 48 shrimp products sold in the Korean online markets. Species identification was conducted using the standard DNA barcoding method, using the cytochrome c oxidase subunit I gene. The obtained sequences were compared with those deposited in the NCBI GenBank and BOLD Systems databases. Additionally, phylogenetic analysis was performed to further verify the identified shrimp species. Consequently, 16 shrimp species were identified, including Penaeus vannamei, Pandalus borealis, Palaemon gravieri, Leptochela gracilis, Penaeus monodon, Pleoticus muelleri, Metapenaeopsis dalei, Euphausia pacifica, Lebbeus groenlandicus, Trachypenaeus curvirostris, Argis lar, Metanephrops thomsoni, Metapenaeopsis barbata, Alpheus japonicus, Penaeus chinensis, and Mierspenaeopsis hardwickii. The most prevalent species was Penaeus vannamei, found in 45.8% of the analyzed products. A significant mislabeling rate of 72.9% was found; however, upon excluding generic names such as shrimp, the mislabeling rate reduced to 10.4%. The mislabeling rate was higher in highly-processed products (89.3%) compared with that in minimally-processed products (50%). No correlation was found between the country of origin and mislabeling rate. The results of this study provide crucial data for future monitoring of shrimp products and improving the labeling of shrimp species in Korea.