The evolution of novel biotic interactions at ecological margins in response to climate change involves alleles from across the geographical range of the UK Brown Argus butterfly
The evolution of novel biotic interactions at ecological margins in response to climate change involves alleles from across the geographical range of the UK Brown Argus butterfly
复制标题
响应气候变化而在生态边缘发生的新型生物相互作用的演变涉及来自英国棕色阿格斯蝴蝶整个地理范围的等位基因
DOI:
10.1101/2022.02.07.479435
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
De Jong M
中科院分区:
文献类型:
--
作者:
De Jong M
Understanding the rate and extent to which populations can adapt to novel environments at their ecological margins is fundamental to predicting the persistence of biological communities during ongoing and rapid global change. Recent range expansion in response to climate change in the UK butterflyAricia agestisis associated with the evolution of novel interactions with a larval food plant, and the loss of its ability to use its ancestral larval host species. Using ddRAD analysis of 61210 variable SNPs from 261 females from throughout the UK range of this species, we identify genomic regions at multiple chromosomes that are associated with these evolutionary responses, and their association with demographic history and ecological variation. Gene flow appears widespread throughout the range, despite the apparently fragmented nature of the habitats used by this species. Patterns of haplotype variation between selected and neutral genomic regions suggest that evolution associated with climate adaptation is polygenic, resulting from the independent spread of existing alleles throughout the established range of this species, rather than the colonisation of pre-adapted genotypes from coastal populations. These data suggest that rapid responses to climate change do not depend on the availability of pre-adapted genotypes. Instead, the evolution of novel forms of biotic interaction inAricia agestishas occurred during range expansion, through the assembly of novel genotypes from alleles from multiple localities.
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影响因子:
3.3
作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
通讯作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
影响因子:
3.7
作者:
Margaretha A. Veltman;J. Flowers;J. Flowers;Tinde van Andel;Tinde van Andel;M. Schranz
通讯作者:
Margaretha A. Veltman;J. Flowers;J. Flowers;Tinde van Andel;Tinde van Andel;M. Schranz
影响因子:
64.8
作者:
Kautt AF;Kratochwil CF;Nater A;Machado-Schiaffino G;Olave M;Henning F;Torres-Dowdall J;Härer A;Hulsey CD;Franchini P;Pippel M;Myers EW;Meyer A
通讯作者:
Meyer A
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
N. Janz
通讯作者:
N. Janz
影响因子:
4.1
作者:
Hoffmann AA;Miller AD;Weeks AR
通讯作者:
Weeks AR