Related Experiment Video
Updated: Sep 12, 2025

Assessing Spatial Learning and Memory in Small Squamate Reptiles
Published on: January 3, 2017
Unprecedented lead tolerance in an urban lizard
Annelise Blanchette1, Kuan-Jiu Su1, Alanna J Frick1
1Tulane University, New Orleans, LA, USA.
Abstract:
Lead (Pb) is an extremely toxic heavy metal pollutant pervasive in many environments with serious health consequences for humans and wildlife. We found that Cuban brown anole lizards (Anolis sagrei) in New Orleans, USA, have the highest mean (955 μg/dL; N = 40) and individual (3192 μg/dL) blood lead concentrations of any free-living vertebrate we could find reported to date. Unexpectedly, this extreme field lead exposure did not decrease performance in whole-organism traits commonly affected by lead (balance, sprint speed, endurance). To identify toxicity thresholds, we employed a 60-day lead-dosing experiment and found that the brown anole blood lead threshold for decreased whole-organism performance is over an order of magnitude higher than the already extreme mean field concentration (10,600 μg/dL). Transcriptomic analysis of brain and liver from lizards in high and low lead sites revealed minor effects of lead exposure. However, several of the differentially expressed genes function in metal ion homeostasis and oxygen carrying capacity, pointing to cellular mechanisms that may contribute to high lead tolerance in these animals. The brown anole may be the most lead-tolerant vertebrate known to date and has the potential to serve as a powerful model system to help us understand mechanisms of lead tolerance.
Related Concept Videos
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Types of Selection

