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Interspecific interactions influence contrasting spatial genetic structures in two closely related damselfly species
Author(s) -
Kahilainen Aapo,
Keränen Inka,
Kuitunen Katja,
Kotiaho Janne S.,
Knott K. Emily
Publication year - 2014
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.12916
Subject(s) - biology , interspecific competition , sympatric speciation , genetic structure , damselfly , gene flow , ecology , range (aeronautics) , genetic diversity , sympatry , genetic variation , evolutionary biology , odonata , population , gene , genetics , materials science , demography , sociology , composite material
Spatial genetic structure ( SGS ) is largely determined by colonization history, landscape and ecological characteristics of the species. Therefore, sympatric and ecologically similar species are expected to exhibit similar SGS s, potentially enabling prediction of the SGS of one species from that of another. On the other hand, due to interspecific interactions, ecologically similar species could have different SGS s. We explored the SGS s of the closely related C alopteryx splendens and C alopteryx virgo within F inland and related the genetic patterns to characteristics of the sampling localities. We observed different SGS s for the two species. Genetic differentiation even within short distances in C . splendens suggests genetic drift as an important driver. However, we also observed indication of previous gene flow (revealed by a negative relationship between genetic differentiation and increasing potential connectivity of the landscape). Interestingly, genetic diversity of C . splendens was negatively related to density of C . virgo, suggesting that interspecific interactions influence the SGS of C . splendens . In contrast, genetic differentiation between C . virgo subpopulations was low and only exhibited relationships with latitude, pointing to high gene flow, colonization history and range margin effects as the drivers of SGS . The different SGS s of the two ecologically similar species caution indirect inferences of SGS based on ecologically similar surrogate species.

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