New insights on angiosperm crown age based on Bayesian node dating and skyline fossilized birth-death approaches

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-03-07 DOI:10.1038/s41467-025-57687-9
Xiaoya Ma, Chi Zhang, Lingxiao Yang, S. Blair Hedges, Bojian Zhong
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Abstract

Despite considerable work in recent years, pinpointing the time when angiosperms originated has been challenging. However, the rapid development of molecular clock methodology has provided new tools to resolve this conundrum. In particular, the fossilized birth-death model establishes a rich interplay between molecules and stratigraphy by incorporating fossils explicitly into dating analyses. In this study, we apply Bayesian node dating and the skyline fossilized birth-death model, which differ in how the calibration is applied, to estimate the crown age of angiosperms. Node dating analyses with different calibration strategies show that the posterior distribution is strongly constrained by the effective prior at the node of crown angiosperms, dominated by the maximum age constraint. Using the skyline fossilized birth-death model, we reveal that assigning different priors for origin time resulted in similar crown ages for angiosperms. Moreover, the oldest fossils play a significant role in time estimates, and the dating results are robust to sampling assumptions of extant taxa. Our dating analyses indicate a largely Triassic crown age (255–202 Ma) for angiosperms, the period when mammals, dinosaurs, and squamate reptiles first appeared, and highlight the potential of morphological data to redefine the timeline of angiosperms.

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基于贝叶斯节点测年和天际线化石生灭方法的被子植物树冠年龄的新见解
尽管近年来进行了大量的工作,但准确确定被子植物起源的时间一直具有挑战性。然而,分子钟方法的快速发展为解决这一难题提供了新的工具。特别是,化石出生-死亡模型通过将化石明确地纳入年代分析,在分子和地层学之间建立了丰富的相互作用。本研究采用贝叶斯节点测年法和天际线化石生灭模型,对被子植物的树冠年龄进行了估算。不同校正策略的节点测年分析表明,冠状被子植物节点的后验分布受有效先验的强烈约束,最大年龄约束占主导地位。利用天际线化石出生-死亡模型,我们揭示了不同起源时间的先验分配导致被子植物的树冠年龄相似。此外,最古老的化石在时间估计中起着重要作用,测年结果对现存分类群的抽样假设是可靠的。我们的年代分析表明,被子植物的冠年龄主要在三叠纪(255-202 Ma),这是哺乳动物、恐龙和有鳞爬行动物首次出现的时期,并强调了形态数据重新定义被子植物时间线的潜力。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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