Construction of Web-Based Database for Anisakis Research

고래회충 연구를 위한 웹기반 데이터베이스 구축

  • Lee, Yong-Seok (Department of Parasitology, Inje University College of Medicine) ;
  • Baek, Moon-Ki (Department of Parasitology, Inje University College of Medicine) ;
  • Jo, Yong-Hun (Department of Agricultural Biology, College of Agriculture and Life Science, Chonnam National University) ;
  • Kang, Se-Won (Department of Parasitology, Inje University College of Medicine) ;
  • Lee, Jae-Bong (Department of Parasitology, Inje University College of Medicine) ;
  • Han, Yeon-Soo (Department of Agricultural Biology, College of Agriculture and Life Science, Chonnam National University) ;
  • Cha, Hee-Jae (Department of Parasitology, Pusan National University College of Medicine) ;
  • Yu, Hak-Sun (Department of Parasitology and Genetics, Kosin University College of medicine) ;
  • Ock, Mee-Sun (Department of Parasitology, Pusan National University College of Medicine)
  • 이용석 (인제대학교 의과대학 기생충학교실) ;
  • 백문기 (인제대학교 의과대학 기생충학교실) ;
  • 조용훈 (전남대학교 농업생명과학대학 식물생명공학부) ;
  • 강세원 (인제대학교 의과대학 기생충학교실) ;
  • 이재봉 (인제대학교 의과대학 기생충학교실) ;
  • 한연수 (전남대학교 농업생명과학대학 식물생명공학부) ;
  • 차희재 (고신대학교 의과대학 기생충학.유전학교실) ;
  • 유학선 (부산대학교 의학대학원 기생충학교실) ;
  • 옥미선 (고신대학교 의과대학 기생충학.유전학교실)
  • Received : 2009.12.17
  • Accepted : 2009.12.21
  • Published : 2010.03.30


Anisakis simplex is one of the parasitic nematodes, and has a complex life cycle in crustaceans, fish, squid or whale. When people eat under-processed or raw fish, it causes anisakidosis and also plays a critical role in inducing serious allergic reactions in humans. However, no web-based database on A. simplex at the level of DNA or protein has been so far reported. In this context, we constructed a web-based database for Anisakis research. To build up the web-based database for Anisakis research, we proceeded with the following measures: First, sequences of order Ascaridida were downloaded and translated into the multifasta format which was stored as database for stand-alone BLAST. Second, all of the nucleotide and EST sequences were clustered and assembled. And EST sequences were translated into amino acid sequences for Nuclear Localization Signal prediction. In addition, we added the vector, E. coli, and repeat sequences into the database to confirm a potential contamination. The web-based database gave us several advantages. Only data that agrees with the nucleotide sequences directly related with the order Ascaridida can be found and retrieved when searching BLAST. It is also very convenient to confirm contamination when making the cDNA or genomic library from Anisakis. Furthermore, BLAST results on the Anisakis sequence information can be quickly accessed. Taken together, the Web-based database on A. simplex will be valuable in developing species specific PCR markers and in studying SNP in A. simplex-related researches in the future.


Supported by : 고신대학교


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