Species delimitation with limited sampling: An example from rare trapdoor spider genus Cyclocosmia (Mygalomorphae, Halonoproctidae)
Species delimitation with limited sampling: An example from rare trapdoor spider genus Cyclocosmia (Mygalomorphae, Halonoproctidae)
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DOI：
10.1111/1755-0998.13894
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发表时间：
2023-11-16
影响因子：
7.7
通讯作者：
Bond，Jason E.
中科院分区：
文献类型：
--
作者：
Opatova，Vera;Bourguignon，Kellie;Bond，Jason E.
物种划界的结果取决于许多因素，包括概念框架、研究设计、数据可用性、采用的方法和主观决策。在濒危或稀有分类群中获得足够的分类群样本可能是困难的，特别是当不能利用非致死组织收集时。因此，避免过度开发自然种群的需要可能会限制用于下游数据分析的方法框架，并使结果产生偏差。利用基因组数据和两种多物种聚结模型方法，对居住在南海岸平原生物多样性热点地区的稀有北美活门蜘蛛属cyclocosmiaausserer（1871）进行了物种边界测试。我们在有限的抽样框架内评估每种方法的性能。为了降低物种过度分裂的风险（这在高度结构化的种群中很常见），我们随后通过谱系多样化指数（gdi）实现了物种验证步骤，该指数考虑了遗传隔离和基因流动。我们在取样的北美环虫中划定了8个地理上受限制的谱系，这表明该地区的主要河流排水可能是扩散的障碍。我们的研究结果表明，在物种发现步骤中使用BPP可能是包含数百个位点但个体较少的数据集的一个很好的选择，这可能是稀有分类群的常见情况。然而，我们也表明这样的结果应该被验证伟哥地，以避免过度分裂。
The outcome of species delimitation depends on many factors, including conceptual framework, study design, data availability, methodology employed and subjective decision making. Obtaining sufficient taxon sampling in endangered or rare taxa might be difficult, particularly when non‐lethal tissue collection cannot be utilized. The need to avoid overexploitation of the natural populations may thus limit methodological framework available for downstream data analyses and bias the results. We test species boundaries in rare North American trapdoor spider genusCyclocosmiaAusserer (1871) inhabiting the Southern Coastal Plain biodiversity hotspot with the use of genomic data and two multispecies coalescent model methods. We evaluate the performance of each methodology within a limited sampling framework.To mitigate the risk of species over splitting, common in taxa with highly structured populations, we subsequently implement a species validation step via genealogical diversification index (gdi), which accounts for both genetic isolation and gene flow. We delimited eight geographically restricted lineages within sampled North AmericanCyclocosmia,suggesting that major river drainages in the region are likely barriers to dispersal. Our results suggest that utilizing BPP in the species discovery step might be a good option for datasets comprising hundreds of loci, but fewer individuals, which may be a common scenario for rare taxa. However, we also show that such results should be validated viagdi, in order to avoid over splitting.