[用DNA宏条形码研究水母的饮食:以蛇皮蝇为例]。

Q3 Environmental Science 应用生态学报 Pub Date : 2024-10-01 DOI:10.13287/j.1001-9332.202410.032
Bai-Ling Chen, Yu-Long Li, Xiang-Bo Bao, Zun-Chun Zhou, Yun-Feng Li
{"title":"[用DNA宏条形码研究水母的饮食:以蛇皮蝇为例]。","authors":"Bai-Ling Chen, Yu-Long Li, Xiang-Bo Bao, Zun-Chun Zhou, Yun-Feng Li","doi":"10.13287/j.1001-9332.202410.032","DOIUrl":null,"url":null,"abstract":"<p><p>We investigated food composition and feeding selectivity of jellyfish (<i>Rhopilema esculentum</i>) from the coastal aquaculture ponds in Liaodong Bay by DNA metabarcoding technology. The DNA from environmental water samples and stomach contents of <i>R. esculentum</i> were extracted and sequenced by high-throughput sequencing with 18S rDNA V4 region and mitochondrial cytochrome c oxidase subunit I (COI) as metabarcoding markers. Based on 18S rDNA metabarcoding, we detected 27 phyla in the stomach contents of <i>R. esculentum</i>, in which Mollusc was the dominant phylum followed by Arthropod, and 34 phyla in the environmental water samples, in which Pyrrophyta was the dominant phylum followed by Ciliophora and Ascomycota. Using COI metabarcoding, 18 phyla were detected in the stomach contents of <i>R. esculentum</i>, with Mollusc as the dominant phylum and followed by Arthropod. 22 phyla were detected in the environmental water samples, in which Proteobacteria was the dominant phylum followed by Pyrrophyta and Arthropod. Results of both methods indicated <i>R. esculentum</i> food included Mollusc, Arthropod, Streptophyta, Ciliophora, Pyrrophyta, Bacillariophyta, Chlorophyta, fungi, bacteria, etc. We analyzed the feeding selectivity of <i>R. esculentum</i> by the Ivlev selection index and found that they preferred small- and medium-sized zooplankton like Mollusc and Arthropod. Our results showed that DNA metabarcoding technology has the potential to investigate the feeding habits of jellyfish species.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"35 10","pages":"2887-2896"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Investigating jellyfish diet with DNA macrobarcoding: A case study in <i>Rhopilema esculentum</i>].\",\"authors\":\"Bai-Ling Chen, Yu-Long Li, Xiang-Bo Bao, Zun-Chun Zhou, Yun-Feng Li\",\"doi\":\"10.13287/j.1001-9332.202410.032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We investigated food composition and feeding selectivity of jellyfish (<i>Rhopilema esculentum</i>) from the coastal aquaculture ponds in Liaodong Bay by DNA metabarcoding technology. The DNA from environmental water samples and stomach contents of <i>R. esculentum</i> were extracted and sequenced by high-throughput sequencing with 18S rDNA V4 region and mitochondrial cytochrome c oxidase subunit I (COI) as metabarcoding markers. Based on 18S rDNA metabarcoding, we detected 27 phyla in the stomach contents of <i>R. esculentum</i>, in which Mollusc was the dominant phylum followed by Arthropod, and 34 phyla in the environmental water samples, in which Pyrrophyta was the dominant phylum followed by Ciliophora and Ascomycota. Using COI metabarcoding, 18 phyla were detected in the stomach contents of <i>R. esculentum</i>, with Mollusc as the dominant phylum and followed by Arthropod. 22 phyla were detected in the environmental water samples, in which Proteobacteria was the dominant phylum followed by Pyrrophyta and Arthropod. Results of both methods indicated <i>R. esculentum</i> food included Mollusc, Arthropod, Streptophyta, Ciliophora, Pyrrophyta, Bacillariophyta, Chlorophyta, fungi, bacteria, etc. We analyzed the feeding selectivity of <i>R. esculentum</i> by the Ivlev selection index and found that they preferred small- and medium-sized zooplankton like Mollusc and Arthropod. Our results showed that DNA metabarcoding technology has the potential to investigate the feeding habits of jellyfish species.</p>\",\"PeriodicalId\":35942,\"journal\":{\"name\":\"应用生态学报\",\"volume\":\"35 10\",\"pages\":\"2887-2896\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"应用生态学报\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.13287/j.1001-9332.202410.032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"应用生态学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13287/j.1001-9332.202410.032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

摘要

采用DNA元条形码技术对辽东湾沿海养殖池中水母(Rhopilema esculentum)的食物组成和取食选择性进行研究。以18S rDNA V4区和线粒体细胞色素c氧化酶亚基I (COI)为元条形码标记,对环境水样和胃内容物的DNA进行高通量测序。基于18S rDNA元条形码分析,结果表明:在沙蚕胃内容物中检测到27个门,其中软体动物为优势门,节肢动物次之;在环境水样中检测到34个门,其中以甲藻门为优势门,其次是纤毛虫门和子囊菌门。利用COI元条形码技术,在肉鸡胃内容物中共检测到18门,以软体动物为优势门,节肢动物次之;在环境水样中共检测到22门,以变形菌门为优势门,其次是肉藻门和节肢动物门。两种方法的结果均表明,褐藻的食物包括软体动物、节肢动物、链藻、纤毛藻、绿藻、硅藻、真菌、细菌等。利用Ivlev选择指数分析了沙蚕的取食选择性,发现沙蚕偏爱软体动物和节肢动物等中小型浮游动物。研究结果表明,DNA元条形码技术具有研究水母食性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
[Investigating jellyfish diet with DNA macrobarcoding: A case study in Rhopilema esculentum].

We investigated food composition and feeding selectivity of jellyfish (Rhopilema esculentum) from the coastal aquaculture ponds in Liaodong Bay by DNA metabarcoding technology. The DNA from environmental water samples and stomach contents of R. esculentum were extracted and sequenced by high-throughput sequencing with 18S rDNA V4 region and mitochondrial cytochrome c oxidase subunit I (COI) as metabarcoding markers. Based on 18S rDNA metabarcoding, we detected 27 phyla in the stomach contents of R. esculentum, in which Mollusc was the dominant phylum followed by Arthropod, and 34 phyla in the environmental water samples, in which Pyrrophyta was the dominant phylum followed by Ciliophora and Ascomycota. Using COI metabarcoding, 18 phyla were detected in the stomach contents of R. esculentum, with Mollusc as the dominant phylum and followed by Arthropod. 22 phyla were detected in the environmental water samples, in which Proteobacteria was the dominant phylum followed by Pyrrophyta and Arthropod. Results of both methods indicated R. esculentum food included Mollusc, Arthropod, Streptophyta, Ciliophora, Pyrrophyta, Bacillariophyta, Chlorophyta, fungi, bacteria, etc. We analyzed the feeding selectivity of R. esculentum by the Ivlev selection index and found that they preferred small- and medium-sized zooplankton like Mollusc and Arthropod. Our results showed that DNA metabarcoding technology has the potential to investigate the feeding habits of jellyfish species.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
自引率
0.00%
发文量
11393
期刊介绍:
期刊最新文献
Hydrochemical and isotopic characteristics and water transformation relationships in the Zhenglan Banner section of Shandian River Basin, China. Impact of litter decomposition driven by nitrogen deposition on the soil organic carbon fractions in a Moso bamboo forest. Impacts of heartwood decay on radial growth of Abies georgei var. smithii in Sygera Mountains, China. Optimal inversion model for cultivated land soil salinity based on UAV hyperspectral data. Prediction of the potential distribution area of endangered medicinal plant Gymnadenia conopsea in China under the background of climate change.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1