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Pierre Taberlet

Researcher at University of Grenoble

Publications -  312
Citations -  57741

Pierre Taberlet is an academic researcher from University of Grenoble. The author has contributed to research in topics: Population & Environmental DNA. The author has an hindex of 108, co-authored 300 publications receiving 51601 citations. Previous affiliations of Pierre Taberlet include University of Savoy & CEVA Logistics.

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Universal primers for amplification of three non-coding regions of chloroplast DNA

TL;DR: Six primers for the amplification of three non-coding regions of chloroplast DNA via the polymerase chain reaction (PCR) have been designed and worked for most species tested, which means that they may be used to study the population biology and evolution of plants.
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Comparative phylogeography and postglacial colonization routes in Europe

TL;DR: A Brooks parsimony analysis produced an unrooted area phylogram, showing that: (i) the northern regions were colonized generally from the Iberic and Balkanic refugia; and (ii) the Italian lineages were often isolated due to the presence of the Alpine barrier.
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Landscape genetics: combining landscape ecology and population genetics

TL;DR: A new approach has emerged for analyzing spatial genetic data without requiring that discrete populations be identified in advance, and promises to facilitate the understanding of how geographical and environmental features structure genetic variation at both the population and individual levels.
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Reliable Genotyping of Samples with Very Low DNA Quantities Using PCR

TL;DR: An experimental procedure using PCR that provides a reliable genotype at a microsatellite locus using only a few picograms of template DNA is identified and should be systematically used when genotyping nuclear loci of ancient or forensic samples, museum specimens and hair or feces of free ranging animals.
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How to track and assess genotyping errors in population genetics studies.

TL;DR: Four case studies representing a large variety of population genetics investigations differing in their sampling strategies, in the type of organism studied (plant or animal) and the molecular markers used [microsatellites or amplified fragment length polymorphisms (AFLPs), and the estimated genotyping error rate are considered.