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Host specificity of parasitoids (Encyrtidae) toward armored scale insects (Diaspididae): Untangling the effect of cryptic species on quantitative food webs

机译:寄主对装甲鳞茎昆虫(拟寄生虫)的寄生性(Encyrtidae)的宿主特异性:解析隐性物种对定量食物网的影响

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摘要

Host specificity of parasitoids may be measured by various specialization indices to assess the variation of interaction strength among species and the structure of the wider interaction network. However, the conclusions from analyses at the species and network levels may differ, which remains poorly explored. In addition, the recovery of cryptic species of hosts and parasitoids with molecular data may affect the structure of inferred interaction links. We quantified host specificity of hymenopteran parasitoids (family Encyrtidae) on armored scale insects (Hemiptera: Diaspididae) from a wide geographic sampling range across the Chinese Mainland based on both morphological and molecular species delimitation. Mitochondrial COI and nuclear 28S markers detected high cryptic species diversity in the encyrtids and to a lesser degree in the diaspidids, which divided generalist morphospecies into complexes of specialists and generalists. One‐to‐one reciprocal host–parasite links were increased in the molecular data set, but different quantitative species‐level indices produced contrasting estimates of specificity from various one‐to‐multiple and multiple‐to‐multiple host–parasite links. Network indices calculated from DNA‐based species, compared to morphology‐based species definitions, showed lower connectance and generality, but greater specialization and compartmentalization of the interaction network. We conclude that a high degree of cryptic species in host–parasitoid systems refines the true network structure and may cause us overestimating the stability of these interaction webs.
机译:寄生物的寄主特异性可以通过各种专业化指标来评估,以评估物种之间相互作用强度的变化以及更广泛的相互作用网络的结构。但是,在物种和网络层次上分析得出的结论可能有所不同,这仍未得到很好的探讨。此外,利用分子数据恢复宿主和寄生生物的隐性物种可能会影响推断的相互作用联系的结构。我们根据形态和分子种类的界定,从中国大陆广泛的地理采样范围中,定量了膜翅目寄生虫(钩虫科)在寄主规模昆虫(半翅目::科)上的宿主特异性。线粒体COI和核28S标记在实体中检测到较高的隐性物种多样性,而在双翅目中则检测到程度较低,这将通才形态种分为专家和通才复合体。在分子数据集中,一对一的寄主-寄生虫相互联系增加了,但是不同的物种数量定量指标从各种一对多和多对多的寄主-寄生虫联系产生了不同的特异性估计。与基于形态学的物种定义相比,从基于DNA的物种计算得到的网络指数显示出较低的连通性和通用性,但相互作用网络的专业化和分隔性更高。我们得出的结论是,宿主-拟寄生物系统中高度隐秘的物种改善了真实的网络结构,并可能导致我们高估了这些交互网络的稳定性。

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