Mining of New Biomaterial Candidates in Jellyfish Based on their Genome Information

Title
Mining of New Biomaterial Candidates in Jellyfish Based on their Genome Information
Author(s)
Yum, Seungshic
KIOST Author(s)
Yum, Seung Shic(염승식)
Publication Year
2020-11-04
Abstract
We have successfully generated and assembled a draft genome sequence of the giant jellyfish, Nemopilema nomurai using PacBio RS long-read sequencing technology. Approximately 213-megabase genome of the jellyfish showed very high heterozyogocity. The assembly results showed that the N50 was 2,711,397 bases and the longest contig reached to 8,511,441 bases. A total of 18,528 high-quality protein-coding genes were predicted from 255 assembled scaffolds. The genome of N. nomurai showed that it has 747 toxin gene candidates which associated with 53 toxin domains, including phospholipase A2, matrix metalloprotease, Kazel-type serine protease inhibitor domain, and ShK-domain. The protein expression of these genes and their functional assay will be discussed.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38553
Bibliographic Citation
2020년 대한독성유전·단백체학회 국제학술대회, pp.50, 2020
Publisher
대한독성유전·단백체학회
Type
Conference
Language
English
Publisher
대한독성유전·단백체학회
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