V
Valerio Sbordoni
Researcher at University of Rome Tor Vergata
Publications - 128
Citations - 3029
Valerio Sbordoni is an academic researcher from University of Rome Tor Vergata. The author has contributed to research in topics: Population & Cave. The author has an hindex of 30, co-authored 128 publications receiving 2779 citations. Previous affiliations of Valerio Sbordoni include Sapienza University of Rome & University of L'Aquila.
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Mitochondrial dna rates and biogeography in european newts (genus euproctus)
TL;DR: The data suggest that the cladogenic events leading to species formation in Euproctus and Triturus occurred very closely in time, indicating that the two genera may not be monophyletic.
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Molecular biogeography of cave life: a study using mitochondrial dna from bathysciine beetles
TL;DR: This study focuses on phylogenetic relationships in two distinct species assemblages of cave‐dwelling beetles with similar disjunct distributions in the Pyrenees and Sardinia, which are believed to reflect different degrees of adaptation to cave life.
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Bottleneck effects and the depression of genetic variability in hatchery stocks of Penaeus japonicus (Crustacea, Decapoda)
TL;DR: Genetic analysis of the founder stock and five subsequent hatchery generations revealed a constant reduction in levels of allozyme polymorphism, which pointed out the importance of a careful check of the number of spawners actually contributing to each reproductive cycle.
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A molecular phylogeny of antarctic chironomidae and its implications for biogeographical history
TL;DR: The chironomid midges Belgica antarctica, Eretmoptera murphyi and Parochlus steinenii, are the only Diptera species currently found in Antarctica and their contemporary distribution is, therefore, likely to have been shaped by vicariance rather than dispersal.
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Pleistocene evolutionary history of the Clouded Apollo (Parnassius mnemosyne): genetic signatures of climate cycles and a ‘time-dependent’ mitochondrial substitution rate
TL;DR: It is argued that the calibrated ‘time‐dependent’ rate (0.096 substitutions/million years), offers the most convincing time frame for the evolutionary events inferred from sequence data.