IVPP-IR
Skyline Fossilized Birth-Death Model is Robust to Violations of Sampling Assumptions in Total-Evidence Dating
Zhang, Chi1; Ronquist, Fredrik2; Stadler, Tanja3,4
2023-11-01
发表期刊SYSTEMATIC BIOLOGY
ISSN1063-5157
卷号72期号:6页码:1316-1336
通讯作者Zhang, Chi(zhangchi@ivpp.ac.cn)
摘要Several total-evidence dating studies under the fossilized birth-death (FBD) model have produced very old age estimates, which are not supported by the fossil record. This phenomenon has been termed "deep root attraction (DRA)." For two specific data sets, involving divergence time estimation for the early radiations of ants, bees, and wasps (Hymenoptera) and of placental mammals (Eutheria), it has been shown that the DRA effect can be greatly reduced by accommodating the fact that extant species in these trees have been sampled to maximize diversity, so-called diversified sampling. Unfortunately, current methods to accommodate diversified sampling only consider the extreme case where it is possible to identify a cut-off time such that all splits occurring before this time are represented in the sampled tree but none of the younger splits. In reality, the sampling bias is rarely this extreme and may be difficult to model properly. Similar modeling challenges apply to the sampling of the fossil record. This raises the question of whether it is possible to find dating methods that are more robust to sampling biases. Here, we show that the skyline FBD (SFBD) process, where the diversification and fossil-sampling rates can vary over time in a piecewise fashion, provides age estimates that are more robust to inadequacies in the modeling of the sampling process and less sensitive to DRA effects. In the SFBD model we consider, rates in different time intervals are either considered to be independent and identically distributed or assumed to be autocorrelated following an Ornstein-Uhlenbeck (OU) process. Through simulations and reanalyses of Hymenoptera and Eutheria data, we show that both variants of the SFBD model unify age estimates under random and diversified sampling assumptions. The SFBD model can resolve DRA by absorbing the deviations from the sampling assumptions into the inferred dynamics of the diversification process over time. Although this means that the inferred diversification dynamics must be interpreted with caution, taking sampling biases into account, we conclude that the SFBD model represents the most robust approach currently available for addressing DRA in total-evidence dating.
关键词Deep root attraction fossilized birth-death OU process skyline total-evidence dating
DOI10.1093/sysbio/syad054
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[42172006] ; Hundred Young Talents Program of Chinese Academy of Sciences[Y902061] ; European Research Council under the Seventh Framework Programme of the European Commission[335529] ; Swedish Research Council[2018-04620] ; Vinnova[2018-04620] ; Swedish Research Council[2018-04620]
项目资助者National Natural Science Foundation of China ; Hundred Young Talents Program of Chinese Academy of Sciences ; European Research Council under the Seventh Framework Programme of the European Commission ; Swedish Research Council ; Vinnova ; Swedish Research Council
WOS研究方向Evolutionary Biology
WOS类目Evolutionary Biology
WOS记录号WOS:001186215100003
出版者OXFORD UNIV PRESS
引用统计
文献类型期刊论文
条目标识符http://119.78.100.205/handle/311034/23472
专题中国科学院古脊椎动物与古人类研究所
通讯作者Zhang, Chi
作者单位1.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Key Lab Vertebrate Evolut & Human Origins, Beijing 100044, Peoples R China
2.Swedish Museum Nat Hist, Dept Bioinformat & Genet, SE-10405 Stockholm, Sweden
3.Eidgenoss Tech Hsch Zurich, Dept Biosyst Sci & Engn, CH-4058 Basel, Switzerland
4.Swiss Inst Bioinformat SIB, CH-1015 Lausanne, Switzerland
推荐引用方式
GB/T 7714
Zhang, Chi,Ronquist, Fredrik,Stadler, Tanja. Skyline Fossilized Birth-Death Model is Robust to Violations of Sampling Assumptions in Total-Evidence Dating[J]. SYSTEMATIC BIOLOGY,2023,72(6):1316-1336.
APA Zhang, Chi,Ronquist, Fredrik,&Stadler, Tanja.(2023).Skyline Fossilized Birth-Death Model is Robust to Violations of Sampling Assumptions in Total-Evidence Dating.SYSTEMATIC BIOLOGY,72(6),1316-1336.
MLA Zhang, Chi,et al."Skyline Fossilized Birth-Death Model is Robust to Violations of Sampling Assumptions in Total-Evidence Dating".SYSTEMATIC BIOLOGY 72.6(2023):1316-1336.
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