Rapid evolution of sexual signals in sympatric<i>Calopteryx</i>damselflies: reinforcement or ‘noisy‐neighbour’ ecological character displacement? is a research paper published in Journal of Evolutionary Biology (2007). On theSindex it has a DataRank of 1.8. It has been cited 33 times, with 32 citing works in its 1-hop citation network. Its calibrated FAIR score is 49/100.
AbstractEnhanced prezygotic isolation in sympatry is one of the most intriguing patterns in evolutionary biology and has frequently been interpreted as evidence for reinforcement. However, the frequency with which reinforcement actually completes speciation remains unclear. The Jewelwing damselflies (Calopteryx aequabilisandC. maculata) have served as one of the few classic examples of speciation via reinforcement outside ofDrosophila. Although evidence for wing pattern displacement and increased mate discrimination in this system have been demonstrated, the degree of hybridization and gene flow in nature are unknown. Here, we show that sympatric populations of these two species are the result of recent secondary contact, as predicted under a model of speciation via reinforcement. However, we found no phenotypic evidence of hybridization in natural populations and a complete association between species‐specific haplotypes at two different loci (mitochondrial CO I and nuclear EF1‐α), suggesting little or no contemporary gene flow. Moreover, genealogical and coalescent‐based estimates of divergence times and migration rates indicate that, speciation occurred in the distant past. The rapid evolution of wing colour in sympatry is recent, therefore, relative to speciation and seems to be better explained by selection against wasting mating effort and/or interspecific aggression resulting from a ‘noisy neighbour’ signalling environment.
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Base Score Contribution
0.529
From this paper's citation signal
Citation Network Contribution
1.2
From 30 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 30% comes from its base citations and 70% from the citation network (30 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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