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首页> 外文期刊>Organisms, diversity, & evolution >Sympatric lineage divergence in cryptic Neotropical sweat bees (Hymenoptera: Halictidae: Lasioglossum)
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Sympatric lineage divergence in cryptic Neotropical sweat bees (Hymenoptera: Halictidae: Lasioglossum)

机译：神秘的新热带汗蜂（膜翅目：Halictidae：Lasioglossum）的同系谱系分化

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摘要

Given ongoing biodiversity decline, an important concern is that a large fraction of species diversity is not yet documented. Correct delimitation of species remains a challenge, especially for small and morphologically uniform groups such as sweat bees (Halictidae). Here, we applied an integrative taxonomic approach to study diversity within the Neotropical sweat bee subgenus Dialictus (genus Lasioglossum). We used four statistical methods to delimit species based on cytochrome oxidase subunit I gene sequences: Automatic Barcode Gap Discovery (ABGD), two variants of the General Mixed Yule Coalescent (single-threshold (stGMYC) and Bayesian (bGMYC)) and the Refined Single Linkage analysis (RESL). We detected eight principal molecular operational taxonomic units (mOTUs). Subsequently, these lineages were evaluated using ten nuclear microsatellite loci and morphological and ecological analyses. Most mOTUs could be differentiated using microsatellites and morphology (82 identified correctly), further supporting the status of mOTUs as independent biological units. For the two most widespread mOTUs, we analysed intra-lineage geographic variation using microsatellites but did not detect additional substructuring. We further tested if the lineages showed predictable patterns of co-occurrence and habitat preferences. While we did not find any evidence of preferential association or disassociation between taxa, we detected a slight positive effect of high crop cover favouring the abundance of some lineages. We show that integrated approaches using statistical analysis of DNA barcodes jointly with additional data can provide robust and objective means of delimiting species in morphologically difficult groups.
机译：鉴于生物多样性持续下降，一个重要的问题是，很大一部分物种多样性尚未被记录在案。物种的正确界定仍然是一个挑战，特别是对于小型和形态均匀的群体，如汗蜂（Halictidae）。在这里，我们应用了一种综合分类学方法来研究新热带汗蜂亚属Dialictus（Lasioglossum属）的多样性。我们使用四种统计方法根据细胞色素氧化酶亚基 I 基因序列来界定物种：自动条形码间隙发现 （ABGD）、通用混合 Yule 聚结的两种变体（单阈值 （stGMYC） 和贝叶斯 （bGMYC）） 和精制单连锁分析 （RESL）。我们检测到了八个主要分子操作分类单元 （mOTU）。随后，使用十个核微卫星位点以及形态学和生态学分析对这些谱系进行了评估。大多数mOTUs可以使用微卫星和形态学进行区分（82%正确识别），进一步支持mOTUs作为独立生物单元的地位。对于两个最广泛的mOTU，我们使用微卫星分析了谱系内的地理变异，但没有检测到额外的亚结构。我们进一步测试了谱系是否显示出可预测的共生模式和栖息地偏好。虽然我们没有发现任何证据表明分类群之间存在优先关联或分离，但我们检测到高作物覆盖率有利于某些谱系的丰度的轻微积极影响。我们表明，将 DNA 条形码的统计分析与附加数据相结合的综合方法可以提供可靠和客观的方法来界定形态学困难的群体中的物种。

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