Suppr超能文献

葡萄牙水螨的DNA条形码文库,及两个新物种(螨亚纲,水螨目)的描述

DNA barcode library of Portuguese water mites, with the descriptions of two new species (Acari, Hydrachnidia).

作者信息

Pešić Vladimir, Zawal Andrzej, Ferreira Sónia, Benitez-Bosco Laura, Cruz-Oliveira Ana, Girão Dinis, Padilha Adriana, Turaccio Paolo, Rossini Samantha, Ballini Lorenzo, Staffoni Giorgia, Fratini Sara, Ciofi Claudio, Iannucci Alessio, Ekrem Torbjørn, Stur Elisabeth

机构信息

Department of Biology, University of Montenegro, Cetinjski put b.b., 81000 Podgorica, Montenegro University of Montenegro Podgorica Montenegro.

Institute of Marine and Environmental Sciences, Center of Molecular Biology and Biotechnology, University of Szczecin, Wąska 13, 71-415 Szczecin, Poland University of Szczecin Szczecin Poland.

出版信息

Zookeys. 2024 Oct 31;1217:119-171. doi: 10.3897/zookeys.1217.131730. eCollection 2024.

Abstract

This study presents the first results from the analysis of water mites collected in Portugal as part of the Biodiversity Genomics Europe project. 307 COI DNA barcodes clustered into 75 BINs are provided, with 38 BINs being unique and deposited for the first time in the Barcode of Life Data Systems (BOLD). 65 species have been identified, of which 36 are new to the water mite fauna of Portugal. Two species, Pešić, and Pešić, (Torrenticolidae), are described as new to science. 47% of the water mite species currently known from Portugal now have reference barcodes in BOLD. High intraspecific distances were recorded for some species, suggesting the presence of cryptic diversity and species complexes that needs further study. Our results improve the DNA barcode reference database for Portuguese water mites, enhancing species identification accuracy and stimulating future investigation.

摘要

本研究展示了作为欧洲生物多样性基因组计划一部分在葡萄牙采集的水螨分析的首批结果。提供了聚类成75个BINs的307个细胞色素氧化酶亚基I(COI)DNA条形码,其中38个BINs是独特的,并首次存入生命条形码数据系统(BOLD)。已鉴定出65个物种,其中36个对葡萄牙水螨动物区系来说是新物种。两种水螨,即佩希奇水螨和佩希奇水螨(溪螨科),被描述为科学上新发现的物种。目前已知的葡萄牙水螨物种中有47%现在在BOLD中有参考条形码。一些物种记录到了较高的种内距离,这表明存在需要进一步研究的隐性多样性和物种复合体。我们的结果改进了葡萄牙水螨的DNA条形码参考数据库,提高了物种鉴定的准确性,并促进了未来的调查研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c095/11544308/86c10dad4c5a/zookeys-1217-119_article-131730__-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验