Genome assembly and population genomic data of a pulmonate snail <i>Ellobium chinense</i>
- 주제(기타) Multidisciplinary Sciences
- 설명문(일반) [Kwak, Haena; Lee, Damin; Kim, Yukyung; Park, Joohee; Park, Joong-Ki] Ewha Womans Univ, Div Ecosci, 52 Ewhayeodae Gil, Seoul 03760, South Korea; [Yeum, Heeseung; Kim, Donghee; Jeong, Choongwon] Seoul Natl Univ, Sch Biol Sci, 1 Gwanak Ro, Seoul 08826, South Korea; [Dong, Yun-Wei] Ocean Univ China, Fisheries Coll, 5 Yushan Rd, Qingdao, Peoples R China; [Nakano, Tomoyuki] Kyoto Univ, Seto Marine Biol Lab, 459 Shirahama, Nishimuro, Wakayama 6492211, Japan; [Park, Joong-Ki] Ewha Womans Univ, Nat Hist Museum, 52 Ewhayeodae Gil, Seoul 03760, South Korea
- 관리정보기술 faculty
- 등재 SCIE, SCOPUS
- OA유형 Gold Open Access
- 발행기관 NATURE PORTFOLIO
- 발행년도 2024
- URI http://www.dcollection.net/handler/ewha/000000213644
- 본문언어 영어
- Published As https://doi.org/10.1038/s41597-023-02851-3
- PubMed 38177233
초록/요약
Ellobium chinense is an airbreathing, pulmonate gastropod species that inhabits saltmarshes in estuaries of the northwestern Pacific. Due to a rapid population decline and their unique ecological niche in estuarine ecosystems, this species has attracted special attention regarding their conservation and the genomic basis of adaptation to frequently changing environments. Here we report a draft genome assembly of E. chinense with a total size of 949.470 Mb and a scaffold N50 of 1.465 Mb. Comparative genomic analysis revealed that the GO terms enriched among four gastropod species are related to signal transduction involved in maintaining electrochemical gradients across the cell membrane. Population genomic analysis using the MSMC model for 14 re-sequenced individuals revealed a drastic decline in Korean and Japanese populations during the last glacial period, while the southern Chinese population retained a much larger effective population size (Ne). These contrasting demographic changes might be attributed to multiple environmental factors during the glacial-interglacial cycles. This study provides valuable genomic resources for understanding adaptation and historical demographic responses to climate change.
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