Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czechia.
Cladistics. 2022 Jun;38(3):320-334. doi: 10.1111/cla.12493. Epub 2021 Oct 26.
RAD sequencing yields large amounts of genome-wide data at a relatively low cost and without requiring previous taxon-specific information, making it ideal for evolutionary studies of highly diversified and neglected organisms. However, concerns about information decay with phylogenetic distance have discouraged its use for assessing supraspecific relationships. Here, using Double Digest Restriction Associated DNA (ddRAD) data, we perform the first deep-level approach to the phylogeny of Zodarion, a highly diversified spider genus. We explore the impact of loci and taxon filtering across concatenated and multispecies coalescent reconstruction methods and investigate the patterns of information dropout in reference to both the time of divergence and the mitochondrial divergence between taxa. We found that relaxed loci-filtering and nested taxon-filtering strategies maximized the amount of molecular information and improved phylogenetic inference. As expected, there was a clear pattern of allele dropout towards deeper time and mitochondrial divergences, but the phylogenetic signal remained strong throughout the phylogeny. Therefore, we inferred topologies that were almost fully resolved, highly supported, and noticeably congruent between setups and inference methods, which highlights overall inconsistency in the taxonomy of Zodarion. Because Zodarion appears to be among the oldest and most mitochondrially diversified spider genera, our results suggest that ddRAD data show high potential for inferring intra-generic relationships across spiders and probably also in other taxonomic groups.
RAD 测序以相对较低的成本产生大量全基因组数据,并且不需要以前的分类特异性信息,使其成为高度多样化和被忽视的生物体进化研究的理想选择。然而,由于担心系统发育距离与信息衰减之间的关系,人们一直不愿意使用它来评估超种关系。在这里,我们使用双酶切相关 DNA(ddRAD)数据,首次对高度多样化的蜘蛛属 Zodarion 的系统发育进行了深入的研究。我们探讨了在连锁和多物种聚合法重建方法中,通过基因座和分类群过滤的影响,并根据分化时间和分类群之间的线粒体分化,研究信息缺失的模式。我们发现,放宽基因座过滤和嵌套分类群过滤策略最大限度地提高了分子信息量并改善了系统发育推断。正如预期的那样,在更深的时间和线粒体分化中,等位基因缺失有明显的模式,但在整个系统发育中,系统发育信号仍然很强。因此,我们推断出的拓扑结构几乎完全解决、高度支持,并且在设置和推断方法之间明显一致,这突出了 Zodarion 的分类法总体上不一致。由于 Zodarion 似乎是最古老和线粒体多样化程度最高的蜘蛛属之一,我们的结果表明,ddRAD 数据在推断蜘蛛属内关系方面具有很高的潜力,可能在其他分类群中也是如此。