Population genetics of <i>Salvator merianae</i> (Reptilia, Teiidae) in its southernmost distribution

The black and white tegu ( Salvator merianae Duméril and Bibron, 1839) is the most widespread lizard species in the southern part of South America. This is an important species as a natural resource, traditionally used for food and traded as leather and pets, and this intensive exploitation can be important for regional economies in their range. We analyzed their genetic diversity, structure, and mating system in Argentina using the mitochondrial ND4 locus and 10 microsatellite loci. We hypothesized low genetic diversity, high levels of interpopulation structure, and multiple paternal contribution to clutches. Our results support our hypotheses, detecting two divergent mitochondrial haplogroups, low levels of allelic diversity and low to medium population structure values using microsatellites, and that S. merianae is both polygynous and has multiple paternal contributions to the clutches we analyzed. These results are informative for the on-going sustainable use-based management of S. merianae, ensuring the sustainability of its commercially exploited populations and the habitats on which they depend.

Authors

Institutions

Publication Details

Journal
Canadian Journal of Zoology
Published
2024-12-16
DOI
https://doi.org/10.1139/cjz-2024-0085
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Population genetics of Salvator merianae (Reptilia, Teiidae) in its southernmost distribution

Gualberto Pacheco‐Sierra, Matthew H. Shirley, Federico Giri, Pablo Siroski et al.
Canadian Journal of Zoology
Species Distribution and Climate Change
article

Population genetics of Salvator merianae (Reptilia, Teiidae) in its southernmost distribution

Gualberto Pacheco‐Sierra, Matthew H. Shirley, Federico Giri, Pablo Siroski, Carolina Imhoff, Patricia Susana Amavet
article en

Abstract

The black and white tegu ( Salvator merianae Duméril and Bibron, 1839) is the most widespread lizard species in the southern part of South America. This is an important species as a natural resource, traditionally used for food and traded as leather and pets, and this intensive exploitation can be important for regional economies in their range. We analyzed their genetic diversity, structure, and mating system in Argentina using the mitochondrial ND4 locus and 10 microsatellite loci. We hypothesized low genetic diversity, high levels of interpopulation structure, and multiple paternal contribution to clutches. Our results support our hypotheses, detecting two divergent mitochondrial haplogroups, low levels of allelic diversity and low to medium population structure values using microsatellites, and that S. merianae is both polygynous and has multiple paternal contributions to the clutches we analyzed. These results are informative for the on-going sustainable use-based management of S. merianae, ensuring the sustainability of its commercially exploited populations and the habitats on which they depend.

Canadian Journal of ZoologyVol. 103
United States Department of Justice (US), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Florida International University (US), Universidad Nacional del Litoral (AR), Centro Científico Tecnológico - Santa Fe (AR), Instituto Nacional de Limnología (AR), Instituto de Física del Litoral (AR), Universidad Nacional Autónoma de México (MX)
Responsible consumption and production
Openalex Percentile: Top 94%
Species Distribution and Climate Change
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.