GeoZentrum Nordbayern, Fachgruppe PaläoUmwelt, Friedrich-Alexander-University Erlangen-Nürnberg, Loewenichstraße 28, 91054 Erlangen, Germany.
Department of Geological Sciences, University of Missouri, 101 Geological Sciences Building, Columbia, MO 65211, USA.
Philos Trans R Soc Lond B Biol Sci. 2021 Nov 8;376(1837):20200366. doi: 10.1098/rstb.2020.0366. Epub 2021 Sep 20.
Growing evidence suggests that biodiversity mediates parasite prevalence. We have compiled the first global database on occurrences and prevalence of marine parasitism throughout the Phanerozoic and assess the relationship with biodiversity to test if there is support for amplification or dilution of parasitism at the macroevolutionary scale. Median prevalence values by era are 5% for the Paleozoic, 4% for the Mesozoic, and a significant increase to 10% for the Cenozoic. We calculated period-level shareholder quorum sub-sampled (SQS) estimates of mean sampled diversity, three-timer (3T) origination rates, and 3T extinction rates for the most abundant host clades in the Paleobiology Database to compare to both occurrences of parasitism and the more informative parasite prevalence values. Generalized linear models (GLMs) of parasite occurrences and SQS diversity measures support both the amplification (all taxa pooled, crinoids and blastoids, and molluscs) and dilution hypotheses (arthropods, cnidarians, and bivalves). GLMs of prevalence and SQS diversity measures support the amplification hypothesis (all taxa pooled and molluscs). Though likely scale-dependent, parasitism has increased through the Phanerozoic and clear patterns primarily support the amplification of parasitism with biodiversity in the history of life. This article is part of the theme issue 'Infectious disease macroecology: parasite diversity and dynamics across the globe'.
越来越多的证据表明,生物多样性调节寄生虫的流行率。我们编制了第一个关于整个显生宙海洋寄生虫发生和流行率的全球数据库,并评估了与生物多样性的关系,以检验寄生虫在宏观进化尺度上是否存在放大或稀释的证据。按时代划分的中位数流行率值为:古生代为 5%,中生代为 4%,新生代显著增加到 10%。我们计算了古生物学数据库中最丰富的宿主类群的时期水平股东法定人数抽样(SQS)估计值,包括平均抽样多样性、三时起源率和三时灭绝率,以与寄生虫的发生和更具信息量的寄生虫流行率值进行比较。寄生虫发生和 SQS 多样性度量的广义线性模型(GLMs)支持放大(所有分类群、棘皮动物和板足鲎以及软体动物)和稀释假说(节肢动物、刺胞动物和双壳类动物)。流行率和 SQS 多样性度量的 GLMs 支持放大假说(所有分类群和软体动物)。尽管可能依赖于规模,但寄生虫在显生宙期间有所增加,明确的模式主要支持寄生虫与生命历史中的生物多样性的放大。本文是主题为“传染病宏观生态学:全球范围内的寄生虫多样性和动态”的一部分。