Managing human-mediated range shifts: understanding spatial, temporal and genetic variation in marine non-native species.

Managing human-mediated range shifts: understanding spatial, temporal and genetic variation in marine non-native species.
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DOI:
10.1098/rstb.2021.0025
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发表时间:
2022-03-14
期刊:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子:
--
通讯作者:
Rius M
Rius M
中科院分区:
其他
文献类型:
--
作者:
Holman LE;Parker-Nance S;de Bruyn M;Creer S;Carvalho G;Rius M

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使用分子工具管理自然资源越来越普遍。然而,基于DNA的方法很少被用来了解物种的范围转移的空间和时间动态。这在管理非本地物种(NNS)等可能对生物群落产生负面影响的范围转移物种时非常重要。在这里,我们调查了海鞘NNS Ciona robusta,Clavelina lepadiformis,Microcosmus squamiger和Styela plicata使用组合的方法。我们首先进行了非分子生物多样性调查,这些NNS沿着南非海岸线,并与历史调查的结果进行了比较。我们检测到不同物种的范围大小没有一致的变化,一些显示范围稳定,另一些显示范围偏移。然后,我们从组织样本中测序了一段细胞色素c氧化酶亚基I(COI),发现沿沿着海岸线的遗传差异,但最近没有变化。最后,我们发现,环境DNA metabarcoding数据表现出广泛的一致性与生物多样性调查和COI数据集,但未能捕捉到所有NNS的完整发病率。总的来说,我们展示了一种综合的方法如何有效地检测遗传组成和范围大小的空间和时间变化,这是管理蓬勃发展的NNS和受威胁物种的关键。本文是主题问题“面对不断变化的环境的物种范围(第一部分)”的一部分。
The use of molecular tools to manage natural resources is increasingly common. However, DNA-based methods are seldom used to understand the spatial and temporal dynamics of species' range shifts. This is important when managing range shifting species such as non-native species (NNS), which can have negative impacts on biotic communities. Here, we investigated the ascidian NNS Ciona robusta, Clavelina lepadiformis, Microcosmus squamiger and Styela plicata using a combined methodological approach. We first conducted non-molecular biodiversity surveys for these NNS along the South African coastline, and compared the results with historical surveys. We detected no consistent change in range size across species, with some displaying range stability and others showing range shifts. We then sequenced a section of cytochrome c oxidase subunit I (COI) from tissue samples and found genetic differences along the coastline but no change over recent times. Finally, we found that environmental DNA metabarcoding data showed broad congruence with both the biodiversity survey and the COI datasets, but failed to capture the complete incidence of all NNS. Overall, we demonstrated how a combined methodological approach can effectively detect spatial and temporal variation in genetic composition and range size, which is key for managing both thriving NNS and threatened species. This article is part of the theme issue ‘Species’ ranges in the face of changing environments (part I)’.
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