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豹亚科的参数化:基于豹属和云豹属谱系的新生突变率估计

Parameterizing Pantherinae: De Novo Mutation Rate Estimates from Panthera and Neofelis Pedigrees.

作者信息

Armstrong Ellie E, Carey Sarah B, Harkess Alex, Zenato Lazzari Gabriele, Solari Katherine A, Maldonado Jesús E, Fleischer Robert C, Aziz Neel, Walsh Patricia, Koepfli Klaus-Peter, Eizirik Eduardo, Petrov Dmitri A, Campana Michael G

机构信息

Department of Biology, Stanford University, Stanford, CA, USA.

Department of Biology, Washington State University, Pullman, WA, USA.

出版信息

Genome Biol Evol. 2025 Apr 3;17(4). doi: 10.1093/gbe/evaf060.

Abstract

Estimates of de novo mutation rates are essential for phylogenetic and demographic analyses, but their inference has previously been impeded by high error rates in sequence data and uncertainty in the fossil record. Here, we directly estimate de novo germline mutation rates for all extant members of Panthera, as well as the closely related outgroup Neofelis nebulosa, using pedigrees. We use a previously validated pipeline (RatesTools) to calculate mutation rates for each species and subsequently explore the impacts of the novel rates on historic effective population size estimates in each of these charismatic felids of conservation concern. Importantly, we find that the choice of reference genome, the data type and coverage, and the individual all impact estimates of the mutation rate, but these can be largely ameliorated through extensive manual curation. Despite these stochastic effects, manual validation of de novo mutation candidates permitted the reliable inference of pantherine mutation rates. We inferred that base pair mutation rates for all species fell between 3.6 × 10-9 and 7.6 × 10-9 per generation per base pair (mean 5.5 × 10-9 ± 1.7 × 10-9 across Pantherinae at a mean parental age of 5.5 years). Similar to other studies, we show a positive trend of mean parental age with mutation rate and our inferred rates are well within the expected range for other mammals.

摘要

新生突变率的估计对于系统发育和种群统计学分析至关重要,但此前其推断一直受到序列数据高错误率和化石记录不确定性的阻碍。在此,我们利用谱系直接估计豹属所有现存成员以及近缘外类群云豹的新生生殖系突变率。我们使用先前经过验证的流程(RatesTools)来计算每个物种的突变率,随后探讨这些新突变率对这些备受保护关注的魅力型猫科动物历史有效种群大小估计的影响。重要的是,我们发现参考基因组的选择、数据类型和覆盖度以及个体都会影响突变率的估计,但通过广泛的人工校正,这些影响在很大程度上可以得到改善。尽管存在这些随机效应,但对新生突变候选者的人工验证使得能够可靠地推断豹亚科的突变率。我们推断所有物种的每代每碱基对的碱基对突变率在3.6×10⁻⁹至7.6×10⁻⁹之间(在平均亲本年龄为5.5岁时,豹亚科的平均突变率为5.5×10⁻⁹±1.7×10⁻⁹)。与其他研究类似,我们显示出平均亲本年龄与突变率呈正相关趋势,并且我们推断的突变率完全在其他哺乳动物的预期范围内。

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