Haller Ayke, Risse Judith, Sepers Bernice, van Oers Kees
Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, the Netherlands.
Behavioural Ecology Group, Wageningen University & Research (WUR), Wageningen, the Netherlands.
Mol Ecol Resour. 2025 Oct;25(7):e14128. doi: 10.1111/1755-0998.14128. Epub 2025 Jun 3.
Information on individual age is a fundamental aspect in many ecological and evolutionary studies. However, accurate and non-lethal methods that can be applied to estimate the age of wild animals are often absent. Furthermore, since the process of ageing is accompanied by a physical decline and the deterioration of biological functions, the biological age often deviates from the chronological age. Epigenetic marks are widely suggested to be associated with this age-related physical decline, and especially changes in DNA methylation are suggested to be reliable age-predictive biomarkers. Here, we developed separate epigenetic clocks for ageing and development in a small passerine bird, the great tit (Parus major). The ageing clock was constructed and evaluated using erythrocyte DNA methylation data of 122 post-fledging individuals, and the developmental clock using 67 pre-fledging individuals from a wild population. Using a leave-one-out cross-validation approach, we were able to accurately predict the ages of individuals with median absolute deviations of 0.40 years for the ageing and 1.06 days for the development clock. Moreover, using existing data from a brood-size manipulation, we show that nestlings from reduced broods are estimated to be biologically older compared to control nestlings, while they are expected to have higher fitness. These epigenetic clocks provide further evidence that, as observed in mammals, changes in DNA methylation of certain CpG sites are highly correlated with chronological age in birds and this opens up new avenues for broad applications in behavioural and evolutionary ecology.
个体年龄信息是许多生态和进化研究的一个基本方面。然而,适用于估计野生动物年龄的准确且非致死性的方法往往并不存在。此外,由于衰老过程伴随着身体机能的衰退和生物功能的恶化,生物年龄常常与实际年龄有所偏差。广泛认为表观遗传标记与这种与年龄相关的身体衰退有关,尤其是DNA甲基化的变化被认为是可靠的年龄预测生物标志物。在此,我们为一种小型雀形目鸟类大山雀(Parus major)开发了用于衰老和发育的独立表观遗传时钟。衰老时钟是利用122只离巢后个体的红细胞DNA甲基化数据构建并评估的,发育时钟则利用来自野生种群的67只离巢前个体的数据构建。通过留一法交叉验证方法,我们能够准确预测个体的年龄,衰老时钟的中位数绝对偏差为0.40年,发育时钟的中位数绝对偏差为1.06天。此外,利用来自窝卵数操纵实验的现有数据,我们发现与对照雏鸟相比,来自较小窝卵数的雏鸟在生物学上被估计年龄更大,而它们预期具有更高的适应性。这些表观遗传时钟进一步证明,正如在哺乳动物中所观察到的,某些CpG位点的DNA甲基化变化与鸟类的实际年龄高度相关,这为在行为和进化生态学中的广泛应用开辟了新途径。