Programa de Planeación Ambiental y Conservación, Centro de Investigaciones Biológicas del Noroeste, S.C., La Paz, Baja California Sur, México.
Comp Biochem Physiol A Mol Integr Physiol. 2013 Sep;166(1):91-100. doi: 10.1016/j.cbpa.2013.05.010. Epub 2013 May 22.
Generalized linear models were fitted to evaluate the relationship between 17β-estradiol (E2), testosterone (T) and thyroxine (T4) levels in immature East Pacific green sea turtles (Chelonia mydas) and their body condition, size, mass, blood biochemistry parameters, handling time, year, season and site of capture. According to external (tail size) and morphological (<77.3 straight carapace length) characteristics, 95% of the individuals were juveniles. Hormone levels, assessed on sea turtles subjected to a capture stress protocol, were <34.7nmolTL(-1), <532.3pmolE2 L(-1) and <43.8nmolT4L(-1). The statistical model explained biologically plausible metabolic relationships between hormone concentrations and blood biochemistry parameters (e.g. glucose, cholesterol) and the potential effect of environmental variables (season and study site). The variables handling time and year did not contribute significantly to explain hormone levels. Differences in sex steroids between season and study sites found by the models coincided with specific nutritional, physiological and body condition differences related to the specific habitat conditions. The models correctly predicted the median levels of the measured hormones in green sea turtles, which confirms the fitted model's utility. It is suggested that quantitative predictions could be possible when the model is tested with additional data.
采用广义线性模型评估了 17β-雌二醇(E2)、睾酮(T)和甲状腺素(T4)水平与不成熟东太平洋绿海龟(Chelonia mydas)的身体状况、体型、体重、血液生化参数、处理时间、年份、季节和捕获地点之间的关系。根据外部(尾巴大小)和形态学(<77.3 厘米直甲壳长度)特征,95%的个体为幼龟。在经历了捕获应激方案的海龟中评估了激素水平,结果为 <34.7nmolTL(-1)、<532.3pmolE2 L(-1)和 <43.8nmolT4L(-1)。统计模型解释了激素浓度与血液生化参数(如葡萄糖、胆固醇)之间以及环境变量(季节和研究地点)的潜在影响之间具有生物学意义的代谢关系。处理时间和年份这两个变量对解释激素水平没有显著贡献。模型发现的性类固醇在季节和研究地点之间的差异与特定的营养、生理和与特定栖息地条件相关的身体状况差异相吻合。模型正确预测了绿海龟中测量激素的中位数水平,这证实了拟合模型的实用性。建议在使用其他数据进行测试时,可能可以进行定量预测。