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Population Structure and Gene Flow of the Yellow Anaconda (Eunectes notaeus) in Northern Argentina

Overview of attention for article published in PLOS ONE, May 2012
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Title
Population Structure and Gene Flow of the Yellow Anaconda (Eunectes notaeus) in Northern Argentina
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037473
Pubmed ID
Authors

Evan McCartney-Melstad, Tomás Waller, Patricio A. Micucci, Mariano Barros, Juan Draque, George Amato, Martin Mendez

Abstract

Yellow anacondas (Eunectes notaeus) are large, semiaquatic boid snakes found in wetland systems in South America. These snakes are commercially harvested under a sustainable management plan in Argentina, so information regarding population structuring can be helpful for determination of management units. We evaluated genetic structure and migration using partial sequences from the mitochondrial control region and mitochondrial genes cyt-b and ND4 for 183 samples collected within northern Argentina. A group of landscape features and environmental variables including several treatments of temperature and precipitation were explored as potential drivers of observed genetic patterns. We found significant population structure between most putative population comparisons and bidirectional but asymmetric migration in several cases. The configuration of rivers and wetlands was found to be significantly associated with yellow anaconda population structure (IBD), and important for gene flow, although genetic distances were not significantly correlated with the environmental variables used here. More in-depth analyses of environmental data may be needed to fully understand the importance of environmental conditions on population structure and migration. These analyses indicate that our putative populations are demographically distinct and should be treated as such in Argentina's management plan for the harvesting of yellow anacondas.

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Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 6 7%
Netherlands 1 1%
Canada 1 1%
Mexico 1 1%
China 1 1%
United States 1 1%
Unknown 71 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Master 13 16%
Student > Bachelor 12 15%
Student > Ph. D. Student 9 11%
Professor 6 7%
Other 16 20%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 61%
Environmental Science 10 12%
Social Sciences 2 2%
Earth and Planetary Sciences 2 2%
Arts and Humanities 1 1%
Other 4 5%
Unknown 13 16%