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野生家麻雀种群中端粒长度遗传变异的遗传力及年龄依赖性变化

Heritability and age-dependent changes in genetic variation of telomere length in a wild house sparrow population.

作者信息

Chik Heung Ying Janet, Sibma Aaron, Mannarelli Maria-Elena, Dos Remedios Natalie, Simons Mirre J P, Burke Terry, Dugdale Hannah L, Schroeder Julia

机构信息

Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.

School of Natural Sciences, Macquarie University, Sydney, New Sout Wales, Australia.

出版信息

Evol Lett. 2024 Nov 21;9(2):209-220. doi: 10.1093/evlett/qrae055. eCollection 2025 Apr.

Abstract

Telomere length (TL) and/or its rate of change are popular biomarkers of senescence, as telomere dynamics are linked with survival and lifespan. However, the evolutionary potential of telomere dynamics has received mixed support in natural populations. To better understand how telomere dynamics evolve, it is necessary to quantify genetic variation in TL and how such variation changes with age. Here, we analyzed 2,083 longitudinal samples from 1,225 individuals across 16 years, collected from a wild, insular house sparrow () population with complete life history and genetic relatedness data. Using a series of "animal" models, we confirmed that TL changes with age, reflecting senescence in this population. We found TL to be repeatable (14.0%, 95% CrI: 9.1%-19.9%) and heritable (12.3%, 95% CrI: 7.5%-18.2%); and detected a genotype-by-age interaction, meaning that genotypes differ in their rate of change of TL, and additive genetic variance increases at older ages. Our findings provide empirical evidence from a wild population that supports hypotheses explaining the evolution of senescence and highlight the importance of telomere dynamics as a key biomarker of body physiology for the evolution of senescence.

摘要

端粒长度(TL)及其变化速率是衰老的常见生物标志物,因为端粒动态与生存和寿命相关。然而,端粒动态的进化潜力在自然种群中得到的支持不一。为了更好地理解端粒动态如何进化,有必要量化TL的遗传变异以及这种变异如何随年龄变化。在这里,我们分析了来自一个具有完整生活史和遗传相关性数据的野生岛屿家麻雀种群的16年间1225个个体的2083份纵向样本。使用一系列“动物”模型,我们证实TL随年龄变化,反映了该种群的衰老。我们发现TL具有重复性(14.0%,95%可信区间:9.1%-19.9%)和遗传性(12.3%,95%可信区间:7.5%-18.2%);并检测到基因型与年龄的相互作用,这意味着基因型在TL的变化速率上存在差异,并且加性遗传方差在老年时增加。我们的研究结果提供了来自野生种群的经验证据,支持了解释衰老进化的假说,并强调了端粒动态作为身体生理衰老进化关键生物标志物的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/756a/11968191/ab69e4a552a2/qrae055_fig1.jpg

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