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地中海生物多样性热点地区的空间异质性影响其淡水鱼类的条形码准确性。

Spatial heterogeneity in the Mediterranean Biodiversity Hotspot affects barcoding accuracy of its freshwater fishes.

作者信息

Geiger M F, Herder F, Monaghan M T, Almada V, Barbieri R, Bariche M, Berrebi P, Bohlen J, Casal-Lopez M, Delmastro G B, Denys G P J, Dettai A, Doadrio I, Kalogianni E, Kärst H, Kottelat M, Kovačić M, Laporte M, Lorenzoni M, Marčić Z, Özuluğ M, Perdices A, Perea S, Persat H, Porcelotti S, Puzzi C, Robalo J, Šanda R, Schneider M, Šlechtová V, Stoumboudi M, Walter S, Freyhof J

机构信息

Zoologisches Forschungsmuseum Alexander Koenig, Leibniz Institute for Animal Biodiversity, Adenauerallee 160, 53113, Bonn, Germany.

出版信息

Mol Ecol Resour. 2014 Nov;14(6):1210-21. doi: 10.1111/1755-0998.12257. Epub 2014 Apr 15.

Abstract

Incomplete knowledge of biodiversity remains a stumbling block for conservation planning and even occurs within globally important Biodiversity Hotspots (BH). Although technical advances have boosted the power of molecular biodiversity assessments, the link between DNA sequences and species and the analytics to discriminate entities remain crucial. Here, we present an analysis of the first DNA barcode library for the freshwater fish fauna of the Mediterranean BH (526 spp.), with virtually complete species coverage (498 spp., 98% extant species). In order to build an identification system supporting conservation, we compared species determination by taxonomists to multiple clustering analyses of DNA barcodes for 3165 specimens. The congruence of barcode clusters with morphological determination was strongly dependent on the method of cluster delineation, but was highest with the general mixed Yule-coalescent (GMYC) model-based approach (83% of all species recovered as GMYC entity). Overall, genetic morphological discontinuities suggest the existence of up to 64 previously unrecognized candidate species. We found reduced identification accuracy when using the entire DNA-barcode database, compared with analyses on databases for individual river catchments. This scale effect has important implications for barcoding assessments and suggests that fairly simple identification pipelines provide sufficient resolution in local applications. We calculated Evolutionarily Distinct and Globally Endangered scores in order to identify candidate species for conservation priority and argue that the evolutionary content of barcode data can be used to detect priority species for future IUCN assessments. We show that large-scale barcoding inventories of complex biotas are feasible and contribute directly to the evaluation of conservation priorities.

摘要

生物多样性知识的不完整仍然是保护规划的绊脚石,甚至在全球重要的生物多样性热点地区(BH)也存在这种情况。尽管技术进步提高了分子生物多样性评估的能力,但DNA序列与物种之间的联系以及区分实体的分析方法仍然至关重要。在这里,我们对地中海生物多样性热点地区淡水鱼类区系的首个DNA条形码文库(526个物种)进行了分析,几乎涵盖了所有物种(498个物种,占现存物种的98%)。为了建立一个支持保护工作的识别系统,我们将分类学家的物种鉴定结果与对3165个标本的DNA条形码进行的多种聚类分析进行了比较。条形码聚类与形态学鉴定的一致性在很大程度上取决于聚类划分方法,但基于一般混合尤尔-凝聚(GMYC)模型的方法一致性最高(所有物种中有83%被识别为GMYC实体)。总体而言,遗传形态学上的不连续性表明存在多达64个此前未被识别的候选物种。我们发现,与对单个河流集水区数据库的分析相比,使用整个DNA条形码数据库时识别准确率会降低。这种尺度效应对于条形码评估具有重要意义,表明相当简单的识别流程在本地应用中能提供足够的分辨率。我们计算了进化独特性和全球濒危性得分,以确定保护优先级的候选物种,并认为条形码数据的进化内容可用于检测未来世界自然保护联盟(IUCN)评估中的优先物种。我们表明,对复杂生物群落进行大规模条形码编目是可行的,并且能直接有助于评估保护优先级。

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