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Identification of genetically and oceanographically distinct blooms of jellyfish

机译:鉴定水母的遗传和海洋学上不同的花朵

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摘要

Reports of nuisance jellyfish blooms have increased worldwide during the last half-century, but the possible causes remain unclear. A persistent difficulty lies in identifying whether blooms occur owing to local or regional processes. This issue can be resolved, in part, by establishing the geographical scales of connectivity among locations, which may be addressed using genetic analyses and oceanographic modelling. We used landscape genetics and Lagrangian modelling of oceanographic dispersal to explore patterns of connectivity in the scyphozoan jellyfish Rhizostoma octopus, which occurs en masse at locations in the Irish Sea and northeastern Atlantic. We found significant genetic structure distinguishing three populations, with both consistencies and inconsistencies with prevailing physical oceanographic patterns. Our analyses identify locations where blooms occur in apparently geographically isolated populations, locations where blooms may be the source or result of migrants, and a location where blooms do not occur consistently and jellyfish are mostly immigrant. Our interdisciplinary approach thus provides a means to ascertain the geographical origins of jellyfish in outbreaks, which may have wide utility as increased international efforts investigate jellyfish blooms.
机译:过去半个世纪以来,全球范围内有关令人讨厌的水母泛滥的报道有所增加,但可能的原因尚不清楚。持续的困难在于确定是否由于局部或区域性过程而出现水华。可以通过建立位置之间的连通性的地理尺度来部分解决此问题,可以使用遗传分析和海洋学建模来解决。我们使用景观遗传学和海洋分布的拉格朗日建模来探索在埃及海和东北大西洋地区大量发生的海豚章鱼Rhizostoma octopus中的连通性模式。我们发现了区分三个种群的重要遗传结构,与主要的自然海洋学模式具有一致性和不一致性。我们的分析确定了在地理上明显孤立的人群中发生水华的位置,水华可能是移民的来源或结果的位置,以及水华不一致发生且水母主要移民的位置。因此,我们的跨学科方法为确定暴发中水母的地理起源提供了一种手段,随着越来越多的国际努力调查水母大量繁殖,这种方法可能具有广泛的用途。

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