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哈利蒙-萨拉克国家公园(印度尼西亚爪哇岛)蚤蝇科(昆虫纲,双翅目)的DNA条形码数据发布

DNA barcoding data release for the Phoridae (Insecta, Diptera) of the Halimun-Salak National Park (Java, Indonesia).

作者信息

Chimeno Caroline, Schmidt Stefan, Hamid Hasmiandy, Narakusumo Raden Pramesa, Peggie Djunijanti, Balke Michael, Cancian de Araujo Bruno

机构信息

SNSB-Zoologische Staatssammlung München, München, Germany SNSB-Zoologische Staatssammlung München München Germany.

Department of Plant Protection, Faculty of Agriculture, Universitas Andalas, Padang, Indonesia Department of Plant Protection, Faculty of Agriculture, Universitas Andalas Padang Indonesia.

出版信息

Biodivers Data J. 2023 Jul 4;11:e104942. doi: 10.3897/BDJ.11.e104942. eCollection 2023.

Abstract

Launched in 2015, the large-scale initiative Indonesian Biodiversity Discovery and Information System (IndoBioSys) is a multidisciplinary German-Indonesian collaboration with the main goal of establishing a standardised framework for species discovery and all associated steps. One aspect of the project includes the application of DNA barcoding for species identification and biodiversity assessments. In this framework, we conducted a large-scale assessment of the insect fauna of the Mount Halimun-Salak National Park which is one of the largest tropical rain-forest ecosystems left in West Java. In this study, we present the results of processing 5,034 specimens of Phoridae (scuttle flies) via DNA barcoding. Despite limited sequencing success, we obtained more than 500 clusters using different algorithms (RESL, ASAP, SpeciesIdentifier). Moreover, Chao statistics indicated that we drastically undersampled all trap sites, implying that the true diversity of Phoridae is, in fact, much higher. With this data release, we hope to shed some light on the hidden diversity of this megadiverse group of flies.

摘要

印度尼西亚生物多样性发现与信息系统(IndoBioSys)这一大型项目于2015年启动,是德国与印度尼西亚的多学科合作项目,其主要目标是建立一个物种发现及所有相关步骤的标准化框架。该项目的一个方面包括应用DNA条形码进行物种鉴定和生物多样性评估。在此框架下,我们对哈利蒙 - 沙拉克山国家公园的昆虫区系进行了大规模评估,该公园是西爪哇仅存的最大热带雨林生态系统之一。在本研究中,我们展示了通过DNA条形码处理5034份蚤蝇标本的结果。尽管测序成功率有限,但我们使用不同算法(RESL、ASAP、SpeciesIdentifier)获得了500多个聚类。此外,Chao统计表明,我们对所有诱捕地点的采样严重不足,这意味着蚤蝇的实际多样性实际上要高得多。通过此次数据发布,我们希望能揭示这一极具多样性的蝇类群体中隐藏的多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b92/10336553/c7fe9cddcd35/bdj-11-e104942-g001.jpg

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