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New Publication: Temporal Variation of Hormones Under Perchlorate Exposure

news
publication
journal article
endocrinology
environmental toxicology
Author

Cresko Lab

Published

February 14, 2015

New research in General and Comparative Endocrinology examines how perchlorate exposure affects daily and seasonal hormone patterns in stickleback!

Adam Gardell, Danielle Dillon, Leah Smayda, Frank von Hippel, Bill Cresko, John Postlethwait, and C. Loren Buck demonstrate that while perchlorate doesn’t modulate diel or seasonal variations in thyroid and androgen hormones, important natural rhythms in 11-ketotestosterone are linked to reproductive physiology and behavior.

Key Findings

The study reveals: - Diel variations in 11-KT remain unaffected by perchlorate - Reproductive season hormone patterns persist despite exposure - T4 content increases across reproductive season - Natural hormone rhythms are remarkably robust - Energy investment in reproduction drives seasonal changes

Temporal Dynamics

Important discoveries about: - Daily hormone fluctuation patterns - Seasonal reproductive cycles - Circadian regulation of hormones - Reproductive timing mechanisms - Environmental synchronization

Behavioral Connections

The research links: - 11-KT variations to reproductive behavior - Hormone patterns to breeding physiology - Daily rhythms to mating activities - Seasonal changes to life history - Endocrine function to fitness

Environmental Context

This work addresses: - Chronic contaminant exposure effects - Natural variation versus pollution impacts - Robustness of biological rhythms - Sublethal toxicological effects - Real-world exposure scenarios

Life History Insights

Findings reveal: - Increased T4 reflects reproductive investment - End-of-life reproductive effort - Trade-offs between survival and reproduction - Hormonal regulation of life history - Adaptive hormone patterns

Methodological Rigor

The study employed: - Time-series sampling designs - Multiple seasonal time points - Diel sampling protocols - Precise hormone quantification - Statistical analysis of temporal patterns

Conservation Relevance

This research informs: - Understanding of pollution impacts - Natural baseline hormone variations - Timing of sensitive periods - Population-level effects - Management strategies

Read the paper →

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