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影响物种丰富的昆虫科分子种界定效率的因素。

Factors affecting the efficiency of molecular species delimitation in a species-rich insect family.

机构信息

Dipartimento di Scienze Agrarie e Ambientali, Università degli Studi di Milano, Milano, Italy.

Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca Sulle Acque (IRSA), Molecular Ecology Group (MEG), Verbania, Italy.

出版信息

Mol Ecol Resour. 2021 Jul;21(5):1475-1489. doi: 10.1111/1755-0998.13352. Epub 2021 Mar 6.

Abstract

In the context of global biodiversity loss, molecular species delimitation approaches can be very useful for accelerating species discovery through DNA taxonomy and inventory through DNA metabarcoding. In this study, the effect of some intrinsic factors on the efficiency of various single-marker species delimitation methods (fixed and variable nucleotide distance thresholds, ABGD, ASAP, GMYC, mPTP) was tested on more than 90 empirical data sets, derived from a set of 7,237 COI sequences attributed to 542 leaf beetles species (Coleoptera: Chrysomelidae). The considered factors were: (i) the number of haplotypes per species (as a proxy for genetic diversity), (ii) the geographic distance among conspecific collection localities (as a proxy of sampling width), (iii) the difficulty related to morphological identification of species, and (iv) the taxonomic rank. Distance-based methods, with on average more than 70% of match with morphological identification, outperformed those relying on phylogenetic trees, with less than 59%. A high number of haplotypes per species was found to have a negative effect on delimitation efficiency, whereas large geographic distances within species had a positive effect. All methods delimitations (except for GMYC) were significantly affected by the presence of species that are difficult to be identified, decreasing their efficiency. Finally, the only method influenced by the taxonomic rank of the data set was GMYC, showing lower efficiency in data sets at the genus than at higher levels. The observed biases we highlighted affecting efficiency could be accounted for when developing input data sets for species delimitation analyses to obtain a more reliable representation of biological diversity.

摘要

在全球生物多样性丧失的背景下,分子物种界定方法通过 DNA 分类学和 DNA 宏条形码技术可以非常有助于加速物种的发现。在这项研究中,我们测试了一些内在因素对各种单标记物种界定方法(固定和可变核苷酸距离阈值、ABGD、ASAP、GMYC、mPTP)效率的影响,这些方法是基于 7237 条 COI 序列(属于 542 种叶甲科甲虫)的 90 多个经验数据集得出的。所考虑的因素有:(i)每个物种的单倍型数量(作为遗传多样性的代理),(ii)同种采集地点之间的地理距离(作为采样宽度的代理),(iii)物种形态鉴定的难度,和(iv)分类等级。基于距离的方法,其平均与形态鉴定的匹配度超过 70%,优于依赖于系统发育树的方法,后者的匹配度不到 59%。发现每个物种的单倍型数量较多对界定效率有负面影响,而物种内的大地理距离则有积极影响。所有方法的界定(除 GMYC 外)都受到难以识别的物种存在的显著影响,降低了它们的效率。最后,唯一受数据集分类等级影响的方法是 GMYC,在属级数据集的效率低于高级数据集。我们强调了影响效率的观察到的偏差,在开发物种界定分析的输入数据集时,可以考虑这些偏差,以更可靠地代表生物多样性。

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