4.5 Article

Geographical analysis of diapause inducibility in European Drosophila melanogaster populations

期刊

JOURNAL OF INSECT PHYSIOLOGY
卷 98, 期 -, 页码 238-244

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jinsphys.2017.01.015

关键词

Seasonal; Diapause; Cline; Mutation; timeless; Drosophila

资金

  1. BBSRC
  2. NERC
  3. European Commission (6th Framework, EUCLOCK grant) [018741]
  4. Erasmus studentship
  5. BBSRC [BB/F014082/1, BB/K001922/1, BB/G02085X/1] Funding Source: UKRI
  6. Biotechnology and Biological Sciences Research Council [BB/K001922/1, BB/G02085X/1, BB/F014082/1] Funding Source: researchfish

向作者/读者索取更多资源

Seasonal overwintering in insects represents an adaptation to stressful environments and in European Drosophila melanogaster females, low temperatures and short photoperiods can induce an ovarian diapause. Diapause may represent a recent (<15 Ky) adaptation to the colonisation of temperate Europe by D. melanogaster from tropical sub-Saharan Africa, because African D. melanogaster and the sibling species D. simulans, have been reported to fail to undergo diapause. Over the past few centuries, D. melanogaster have also invaded North America and Australia, and eastern populations on both continents show a predictable latitudinal dine in diapause induction. In Europe however, a new diapause-enhancing timeless allele, ls-tim, is observed at high levels in southern Italy (similar to 80%), where it appears to have arisen and has spread throughout the continent with a frequency of similar to 20% in Scandinavia. Given the phenotype of Is-tim and its geographical distribution, we might predict that it would work against any latitudinal dine in diapause induction within Europe. Indeed we reveal that any latitudinal dine for diapause in Europe is very weak, as predicted by Is-tim frequencies. In contrast, we determine Is-tim frequencies in North America and observe that they would be expected to strengthen the latitudinal pattern of diapause. Our results reveal how a newly arisen mutation, can, via the stochastic nature of where it initially arose, blur an otherwise adaptive geographical pattern. (C) 2017 The Authors. Published by Elsevier Ltd.

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