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John C. Avise

Researcher at University of California, Irvine

Publications -  414
Citations -  54591

John C. Avise is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Population & Mating system. The author has an hindex of 105, co-authored 413 publications receiving 53088 citations. Previous affiliations of John C. Avise include University of Florida & University of California, Santa Cruz.

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Microsatellite Variation and Differentiation in North Atlantic Eels

TL;DR: Empirical findings in eels support theoretical concerns that homoplasy (convergent evolution) in allelic states can compromise the utility of rapidly mutating microsatellite loci for certain types of microevolutionary questions regarding gene flow and species differences.
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Evolutionary genetics of birds. vi. a reexamination of protein divergence using varied electrophoretic conditions.

TL;DR: Avise and Aquadro as discussed by the authors showed that the genetic distances between lower taxa of birds are exceptionally small compared to those observed between many other vertebrates of equivalent levels of taxonomic distinction.
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Cladists in wonderland1

TL;DR: A twenty-first century in which the rate of species origin (via fixation of genetic variants) may outpace the rate at which currently recognized taxonomic species are driven to extinction is possible.
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Time to Standardize Taxonomies

John C. Avise, +1 more
- 01 Feb 2007 - 
TL;DR: A simple and straightforward taxonomic tactic by which the epistemological advan tages of temporal banding could be achieved without abandoning tried-and-comfortable Linnaean ranks and nomenclatures is suggested.
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Recognizing the forest for the trees: testing temporal patterns of cladogenesis using a null model of stochastic diversification.

TL;DR: The approaches developed in this report complement and extend those of other recent methods for employing null models to assess the statistical significance of pattern in evolutionary trees and enable other investigators to statistically test for nonrandomness in temporal cladogenetic pattern in empirical trees generated from data on extant species.