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Correction to: How Important Is Budding Speciation for Comparative Studies? 修正:萌芽物种形成对比较研究有多重要?
IF 6.5 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-07-23 DOI: 10.1093/sysbio/syaf042
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引用次数: 0
Correction to: Global Patterns of Taxonomic Uncertainty and its Impacts on Biodiversity Research. 修正:全球分类学不确定性格局及其对生物多样性研究的影响。
IF 6.5 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-07-15 DOI: 10.1093/sysbio/syaf045
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引用次数: 0
Revisiting the Multispecies Coalescent Model fit with an example from a complete molecular phylogeny of the Liolaemus wiegmannii species group (Squamata: Liolaemidae). 重新审视多物种聚结模型,以一个完整的分子系统发育的例子来拟合Liolaemus wiegmannii种群(Squamata: Liolaemidae)。
IF 6.5 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-07-10 DOI: 10.1093/sysbio/syaf048
Joaquín Villamil,Mariana Morando,Luciano J Avila,Flávia M Lanna,Emanuel M Fonseca,Jack W Sites,Arley Camargo
Departures from the Multispecies Coalescent (MSC) assumptions could cause artefactual topologies and node height estimates, and therefore, trees inferred without MSC model fit testing could potentially misrepresent an accurate approximation of the evolutionary history of a group. The current implementation of MSC model testing for non-genomic level molecular markers cannot process trees estimated from BEAST 2, limiting its application for large datasets of sequence-based markers. Here we recode functions of the R package P2C2M to assess model fit to the MSC and apply this new implementation, which we named P2C2M2, to test the MSC model in a 16-loci dataset of 42 lizard species focused on the Liolaemus wiegmannii group. We found strong evidence of model departures in several loci, possibly due to historical gene flow, which could also be causing an unexpected position of the L. wiegmannii group within the L. montanus section of Eulaemus, when hybridization is not accounted for. The L. anomalus group is inferred as the closest to the L. wiegmannii group when gene flow is incorporated via a Multispecies Network Coalescent model, and a reticulation, suggesting historical gene flow between the L. wiegmannii and L. montanus groups is inferred, which has not been previously reported. We argue that there are at least three sources of discrepancy between the literature and the node ages estimated in our study: the use of strict molecular clocks without statistical justification, misplaced fossil calibrations, and the estimation of coalescent times instead of species divergence times. We encouraged systematists to routinely test the fit of the MSC model when estimating species trees using sequence-based markers, and to follow a phylogenetic network approach when both this test is significant and when historical gene flow is considered one plausible source of the departure from the MSC model.
偏离多物种聚合(MSC)假设可能会导致人为的拓扑结构和节点高度估计,因此,未经MSC模型拟合检验推断的树可能会错误地反映一个群体进化历史的准确近似值。目前实施的非基因组水平分子标记的MSC模型测试不能处理从BEAST 2估计的树,限制了其在基于序列的标记的大型数据集的应用。在这里,我们重新编码R包P2C2M的功能,以评估模型与MSC的拟合性,并应用我们命名为P2C2M2的新实现,在以Liolaemus wiegmannii类群为重点的42种蜥蜴的16个位点数据集中测试MSC模型。我们在几个位点上发现了模型偏离的有力证据,可能是由于历史基因流动,这也可能导致L. wiegmannii群在Eulaemus的L. montanus部分中出现意外的位置,当没有考虑杂交时。通过多物种网络聚结模型(multi - species Network Coalescent model)和网状结构将L. wiegmannii类群与L. montanus类群的基因流结合,推测出L. wiegmannii和L. montanus类群之间的历史基因流,这在以前没有报道过。我们认为,文献和我们研究中估计的节点年龄之间至少有三个差异的来源:使用严格的分子钟而没有统计依据,错误的化石校准,以及估计成结时间而不是物种分化时间。我们鼓励系统学家在使用基于序列的标记估计物种树时,常规地测试MSC模型的拟合性,当这两个测试都很重要,并且当历史基因流被认为是偏离MSC模型的一个合理来源时,遵循系统发育网络方法。
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引用次数: 0
Data Fusion for Integrative Species Identification Using Deep Learning 基于深度学习的综合物种识别数据融合
IF 6.5 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-06-13 DOI: 10.1093/sysbio/syaf026
Lara M Ko¨sters, Kevin Karbstein, Martin Hofmann, Ladislav Hodaˇc, Patrick Ma¨der, Jana Wa¨ldchen
DNA analyses have revolutionized species identification and taxonomic work. Yet, persistent challenges arise from little differentiation among and considerable variation within species, particularly among closely related groups. While images are commonly used as an alternative modality for automated identification tasks, their usability is limited by the same concerns. An integrative strategy, fusing molecular and image data through machine learning, holds significant promise for fine-grained species identification. However, a systematic overview and rigorous statistical testing concerning molecular and image preprocessing and fusion techniques, including practical advice for biologists, are missing so far. We introduce a machine learning scheme that integrates both molecular and image data for species identification. Initially, we systematically assess and compare three different DNA arrangements (aligned, unaligned, SNP-reduced) and two encoding methods (fractional, ordinal). Additionally, artificial neural networks are used to extract visual and molecular features, and we propose strategies for fusing this information. Specifically, we investigate three strategies: I) fusing directly after feature extraction, II) fusing features that passed through a fully connected layer after feature extraction, and III) fusing the output scores of both unimodal models. We systematically and statistically evaluate these strategies for four eukaryotic datasets, including two plant (Asteraceae, Poaceae) and two animal families (Lycaenidae, Coccinellidae) using Leave-One-Out Cross-Validation (LOOCV). In addition, we developed an approach to understand molecular- and image-specific identification failure. Aligned sequences with nucleotides encoded as decimal number vectors achieved the highest identification accuracy among DNA data preprocessing techniques in all four datasets. Fusing molecular and visual features directly after feature extraction yielded the best results for three out of four datasets (52-99%).Overall, combining DNA with image data significantly increased accuracy in three out of four datasets, with plant datasets showing the most substantial improvement (Asteraceae: +19%, Poaceae: +13.6%). Even for Lycaenidae with high identification accuracy based on molecular data (>96%), a statistically significant improvement (+2.1%) was observed.Detailed analysis of confusion rates between and within genera shows that DNA alone tends to identify the genus correctly, but often fails to recognize the species. The failure to resolve species is alleviated by including image data in the training. This increase in resolution hints at a hierarchical role of modalities in which molecular data coarsely groups the specimens to then be guided towards a more fine-grained identification by the connected image. We systematically showed and explained, for the first time, that optimizing the preprocessing and integration of molecular and image data offers signific
DNA分析已经彻底改变了物种鉴定和分类工作。然而,持续的挑战来自于物种之间的微小分化和物种内部的巨大变异,特别是在密切相关的群体之间。虽然图像通常被用作自动识别任务的替代方式,但它们的可用性受到相同问题的限制。通过机器学习融合分子和图像数据的综合策略对细粒度物种识别具有重要意义。然而,关于分子和图像预处理和融合技术的系统概述和严格的统计测试,包括对生物学家的实用建议,到目前为止还缺乏。我们介绍了一种机器学习方案,该方案集成了分子和图像数据,用于物种识别。首先,我们系统地评估和比较了三种不同的DNA排列(排列,未排列,snp还原)和两种编码方法(分数,序数)。此外,利用人工神经网络提取视觉和分子特征,并提出了融合这些信息的策略。具体来说,我们研究了三种策略:I)特征提取后直接融合,II)融合特征提取后通过全连接层的特征,以及III)融合两个单峰模型的输出分数。我们对4个真核生物数据集,包括2个植物科(Asteraceae, Poaceae)和2个动物科(Lycaenidae, Coccinellidae),使用留一交叉验证(LOOCV)系统和统计地评估了这些策略。此外,我们开发了一种方法来理解分子和图像特异性识别失败。以十进制数向量编码的核苷酸序列在所有四个数据集的DNA数据预处理技术中获得了最高的识别精度。在特征提取后直接融合分子特征和视觉特征对四分之三的数据集产生了最好的结果(52-99%)。总体而言,将DNA与图像数据相结合可以显著提高4个数据集中的3个数据集的准确性,其中植物数据集的改善最为显著(Asteraceae: +19%, Poaceae: +13.6%)。即使对于基于分子数据的高鉴定准确率(>96%)的Lycaenidae,也有统计学上显著的提高(+2.1%)。对属之间和属内混淆率的详细分析表明,单靠DNA往往能正确识别属,但往往不能识别种。通过在训练中加入图像数据,可以缓解物种分辨失败的问题。这种分辨率的增加暗示了模式的层次作用,其中分子数据粗略地将标本分组,然后通过连接的图像引导到更细粒度的识别。我们首次系统地展示并解释了优化分子和图像数据的预处理和集成提供了显着的好处,特别是对于遗传相似和形态难以区分的物种,通过减少模式特异性失败率和信息差距来增强物种识别。我们的研究结果可以为不同生物群体的整合工作提供信息,从而提高真核生物物种的自动化识别。
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引用次数: 0
Species Richness and Speciation Rates for all Terrestrial Animals Emerge from a Synthesis of Ecological Theories. 所有陆生动物的物种丰富度和物种形成率来自生态学理论的综合。
IF 6.1 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-06-12 DOI: 10.1093/sysbio/syaf006
Lucas D Fernandes, Rogier E Hintzen, Samuel E D Thompson, Tatsiana Barychka, Derek Tittensor, Michael Harfoot, Tim Newbold, James Rosindell

The total number of species on earth and the rate at which new species are created are fundamental questions for ecology, evolution and conservation. These questions have typically been approached separately, despite their obvious interconnection. In this study, we approach both questions in conjunction, for all terrestrial animals. To do this, we combine two previously unconnected bodies of theory: general ecosystem models and individual-based ecological neutral theory. General ecosystem models provide us with estimated numbers of individual organisms, separated by functional group and body size. Neutral theory, applied within a guild of functionally similar individuals, connects species richness, speciation rate, and number of individual organisms. In combination, for terrestrial endotherms where species numbers are known, they provide us with estimates for speciation rates as a function of body size and diet class. Extrapolating the same rates to guilds of ectotherms enables us to estimate the species richness of those groups, including species yet to be described. We find that speciation rates per species per million years decrease with increasing body size. Rates are also higher for carnivores compared to omnivores or herbivores of the same body size. Our estimate for the total number of terrestrial species of animals is in the range 1.03-2.92 million species, a value consistent with estimates from previous studies, despite having used a fundamentally new approach. Perhaps what is most remarkable about these results is that they have been obtained using only limited data from larger endotherms and their speciation rates, with the predictive process being based on mechanistic theory. This work illustrates the potential of a new approach to classic eco-evolutionary questions, while also adding weight to existing predictions. As we now face an era of dramatic biological change, new methods will be needed to mechanistically model global biodiversity at the species and individual organism level. This will be a huge challenge but the combination of general ecosystem models and neutral theory that we introduce here is a way to tractably achieve it.

地球上物种的总数和新物种产生的速度是生态学、进化和自然保护的基本问题。这些问题通常是分开处理的,尽管它们之间有明显的联系。在这项研究中,我们将这两个问题结合起来,适用于所有陆生动物。为了做到这一点,我们结合了两个以前没有联系的理论:一般生态系统模型和基于个体的生态中性理论。一般的生态系统模型为我们提供了按功能群和体型划分的个体生物的估计数量。中性理论适用于功能相似的个体,将物种丰富度、物种形成率和个体生物数量联系起来。结合起来,对于已知物种数量的陆生恒温动物,它们为我们提供了物种形成率作为体型和饮食类别的函数的估计。将同样的速率外推到变温动物群体中,使我们能够估计这些群体的物种丰富度,包括尚未被描述的物种。我们发现每百万年每个物种的物种形成率随着体型的增加而降低。同样体型的食肉动物比杂食动物或食草动物的发病率更高。我们对陆地动物物种总数的估计在103 - 292万种之间,这个值与以前的研究结果一致,尽管我们使用了一种全新的方法。也许这些结果最值得注意的是,它们仅使用了来自大型恒温动物及其物种形成率的有限数据,并且预测过程基于机械理论。这项工作说明了一种解决经典生态进化问题的新方法的潜力,同时也增加了现有预测的权重。由于我们现在面临着一个巨大的生物变化的时代,将需要新的方法来在物种和个体生物水平上机械地模拟全球生物多样性。这将是一个巨大的挑战,但我们在这里介绍的一般生态系统模型和中性理论的结合是实现这一目标的一种可行方法。
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引用次数: 0
Repeated Evolution of Storage Root and Invasions of Alpine Biome Drove Replicated Radiations of the Megadiverse Corydalis (Papaveraceae) in the Qinghai-Tibet Plateau. 青藏高原大品种堇科植物储存根的重复进化和高山生物群落的入侵驱动了堇科植物的重复辐射。
IF 6.1 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-06-12 DOI: 10.1093/sysbio/syaf014
Huan-Wen Peng, Yuan-Yuan Ling, Kun-Li Xiang, Andrey S Erst, Xiao-Qian Li, Lian Lian, Bing Liu, Tatyana V Erst, Rosa Del C Ortiz, Florian Jabbour, Wei Wang

-The interplay of key innovation and ecological opportunity is commonly recognized to be the catalyst for rapid radiation. Underground storage organs (USOs), as a vital ecological trait, are advantageous for the adaptation of plants to extreme environments, but receive less attention compared to aboveground organs. Repeated evolution of various USOs has occurred across the plant tree of life. However, whether repeated occurrences of a USO in different clades of a group can promote its replicated radiations in combination with the invasion of similar environments remains poorly known. Corydalis is a megadiverse genus in Papaveraceae and exhibits remarkable variations in USO morphology and biome occupancy. Here, we first generated a robust phylogeny for Corydalis with wide taxonomic and genomic coverage based on plastome and nuclear ribosomal DNA sequence data. By dating the branching events, reconstructing ancestral ranges, evaluating diversification dynamics, and inferring evolutionary patterns of USOs and biomes and their correlations, we then tested whether the interplay of USO evolution and biome shifts has driven rapid diversification of some Corydalis lineages. Our results indicate that Corydalis began to diversify in the Qinghai-Tibet Plateau (QTP) at ca. 41 Ma, and 88% of dispersals happened through forests, suggesting that forests served as important dispersal corridors for range expansion of the genus. The storage root has originated independently at least 6 times in Corydalis since the Miocene, and its acquisition could have operated as a key innovation toward the adaptation to the alpine biome in the QTP. Repeated evolution of this game-changing trait and invasions of alpine biome, in combination with geoclimatic changes, could have jointly driven independent radiations of the 2 clades of Corydalis in the QTP at ca. 6 Ma. Our study provides new insights into the joint contribution of USO repeated evolution and biome shifts to replicated radiations, hence increasing our ability to predict evolutionary trajectories in plants facing similar environmental pressures.

关键创新和生态机会的相互作用被普遍认为是快速辐射的催化剂。地下贮藏器官(USOs)是植物适应极端环境的重要生态性状,但与地上器官相比,受到的关注较少。各种USOs的重复进化发生在整个植物生命树中。然而,在一个群体的不同分支中反复出现的USO是否会促进其复制辐射,并结合类似环境的入侵,目前尚不清楚。紫堇属是罂粟科的一个超级多样性属,在USO形态和生物群落占有方面表现出显著的变化。在这里,我们首先基于质体体和核糖体DNA序列数据,建立了一个具有广泛分类和基因组覆盖的延胡索的强大系统发育。通过确定分支事件的年代,重建祖先范围,评估多样性动态,推断USO和生物群系的进化模式及其相关性,我们验证了USO进化和生物群系变化的相互作用是否驱动了一些延胡索谱系的快速多样化。结果表明,延胡索属植物在青藏高原的分布始于约41 Ma,其中88%的传播是通过森林进行的,表明森林是延胡索属植物扩展范围的重要传播通道。自中新世以来,延胡索属植物至少有6次独立起源,其获得可能是青藏高原适应高山生物群系的关键创新。这一改变游戏规则的特征的反复进化和高寒生物群系的入侵,再加上地理气候变化,可能共同驱动了大约6 Ma QTP中两个支的独立辐射。我们的研究为USO重复进化和生物群系变化对重复辐射的共同贡献提供了新的见解,从而提高了我们预测面临类似环境压力的植物进化轨迹的能力。[生物群系转变;多样化的利率;罂粟科;phylogenomics;青藏高原;地下贮藏器官。
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引用次数: 0
Correction to: Phylogenomic Discordance is Driven by Wide-Spread Introgression and Incomplete Lineage Sorting During Rapid Species Diversification Within Rattlesnakes (Viperidae: Crotalus and Sistrurus). 在响尾蛇(响尾蛇科:Crotalus和Sistrurus)物种快速多样化过程中,系统发育不一致是由广泛的渗入和不完整的谱系分类所驱动的。
IF 6.1 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-06-12 DOI: 10.1093/sysbio/syaf008
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引用次数: 0
Are Modern Cryptic Species Detectable in the Fossil Record? A Case Study on Agamid Lizards. 化石记录中能发现现代隐性物种吗?姬蛙蜥个案研究。
IF 6.1 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-06-12 DOI: 10.1093/sysbio/syae067
Till Ramm, Jaimi A Gray, Christy A Hipsley, Scott Hocknull, Jane Melville, Johannes Müller

Comparisons of extant and extinct biodiversity are often dependent on objective morphology-based identifications of fossils and assume a well-established and comparable taxonomy for both fossil and modern taxa. However, since many modern (cryptic) species are delimitated mainly via external morphology and/or molecular data, it is often unclear to what degree fossilized (osteological) remains allow classification to a similar level. When intraspecific morphological variation in extant taxa is poorly known, the definition of extinct species as well as the referral of fossils to extant species can be heavily biased, particularly if fossils are represented by incomplete isolated skeletal elements. This problem is especially pronounced in squamates (lizards and snakes) owing to a lack of osteological comparative knowledge for many lower taxonomic groups, concomitant with a recent increase of molecular studies revealing great cryptic diversity. Here, we apply a quantitative approach using 3D geometric morphometrics on 238 individuals of 14 genera of extant Australian and Papua New Guinean agamid lizards to test the value of 2 isolated skull bones (frontals and maxillae) for inferring taxonomic and ecological affinities. We further test for the consistency of intra- and interspecific morphological variability of these elements as a proxy for extinct taxonomic richness. We show that both bones are diagnostic at the generic level, and both can infer microhabitat and are of paleoecological utility. However, species-level diversity is likely underestimated by both elements, with ~30-40% of species pairs showing no significant differences in shape. Mean intraspecific morphological variability is largely consistent across species and bones and thus a useful proxy for extinct species diversity. Reducing sample size and landmark completeness to approximate fossil specimens led to decreased classification accuracy and increased variance of morphological disparity, raising further doubts on the transferability of modern species borders to the fossil record of agamids. Our results highlight the need to establish appropriate levels of morphology-based taxonomic or ecological groupings prior to comparing extant and extinct biodiversity.

现存生物多样性和已灭绝生物多样性的比较通常依赖于对化石进行客观的形态鉴定,并假定化石和现代类群都有完善的、可比较的分类法。然而,由于许多现代(隐性)物种主要是通过外部形态和/或分子数据来划分的,因此通常还不清楚化石(骨学)遗骸在多大程度上可以将物种分类提升到类似的水平。当对现生类群的种内形态变异知之甚少时,对已灭绝物种的定义以及将化石归入现生物种可能会产生严重偏差,尤其是当化石是由不完整的孤立骨骼元素代表时。这个问题在有鳞类动物(蜥蜴和蛇)中尤为突出,因为许多低等分类群缺乏骨骼学比较知识,而最近越来越多的分子研究揭示了巨大的隐匿多样性。在此,我们采用三维几何形态计量学的定量方法,对现存澳大利亚和巴布亚新几内亚14属的238个个体进行了研究,以检验两块孤立的头骨(额骨和上颌骨)在推断分类学和生态学亲缘关系方面的价值。我们还进一步测试了这些元素在种内和种间形态变异的一致性,以此作为已灭绝物种分类丰富度的代表。我们的研究表明,这两种骨骼都具有类属水平的诊断能力,都可以推断微生境,并具有古生态学的作用。然而,这两种元素可能低估了物种层面的多样性,约有30-40%的物种对在形态上没有明显差异。不同物种和骨骼的种内形态变异平均值基本一致,因此是已灭绝物种多样性的有效代表。将样本量和地标完整性降低到近似化石标本的程度会导致分类准确性下降和形态差异的增加,从而使人们进一步怀疑现代物种边界对姬蛙类化石记录的可转移性。我们的研究结果突出表明,在比较现生和已灭绝的生物多样性之前,有必要建立适当的基于形态学的分类学或生态学分组。
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引用次数: 0
Accelerating Maximum Likelihood Phylogenetic Inference via Early Stopping to Evade (Over-)optimization 通过提前停止以逃避(过度)优化加速最大似然系统发育推断
IF 6.5 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-05-30 DOI: 10.1093/sysbio/syaf043
Anastasis Togkousidis, Alexandros Stamatakis, Olivier Gascuel
Maximum Likelihood (ML) based phylogenetic inference constitutes a challenging optimization problem. Given a set of aligned input sequences, phylogenetic inference tools strive to determine the tree topology, the branch-lengths, and the evolutionary model parameters that maximize the phylogenetic likelihood function. However, there exist compelling reasons to not push optimization to its limits, by means of early, yet adequate stopping criteria. Since input sequences are typically subject to stochastic and systematic noise, caution is warranted to prevent over-optimization and the risk of overfitting the model to noisy data. To address this, we integrate the Kishino-Hasegawa (KH) test into RAxML-NG as a reliable and fast-to-compute Early Stopping criterion to effectively limit excessive and compute-intensive over-optimization. Initially, we introduce a simplified heuristic tree search strategy in RAxML-NG (sRAxML-NG) as an underlying method for Early Stopping. Subsequently, we use the KH test in combination with sRAxML-NG, to statistically assess the significance of differences between intermediate trees prior to and after major optimization steps. The tree search terminates early when improvements are statistically insignificant. We also propose an extension to the standard KH test that allows to correct for multiple testing, which maintains accuracy while achieving even higher speedups. For benchmarking we use 300 large representative empirical datasets from TreeBASE. For 98% of the DNA datasets, all Early Stopping methods we introduce infer trees that are statistically equivalent to those inferred from RAxML-NG v1.2. For AA datasets, the fraction of datasets where sRAxML-NG, KH, and the KH-multiple testing versions infer statistically equivalent trees is 96%, 95%, and 92%, respectively. In conjuction with sRAxML-NG, the average speedup achieved by the KH-multiple testing version is 5x for DNA and 3.9x for protein datasets compared to RAxML-NG v1.2. We implemented our stopping criteria in RAxML-NG, which is available under GNU GPL at https://github.com/togkousa/raxml-ng/tree/stopping-criteria.
基于最大似然(ML)的系统发育推理是一个具有挑战性的优化问题。给定一组对齐的输入序列,系统发育推断工具努力确定树的拓扑结构、分支长度和最大化系统发育似然函数的进化模型参数。然而,存在令人信服的理由,不推动优化到其极限,通过早期,但适当的停止标准。由于输入序列通常受到随机和系统噪声的影响,因此需要谨慎,以防止过度优化和模型过度拟合到噪声数据的风险。为了解决这个问题,我们将Kishino-Hasegawa (KH)测试集成到RAxML-NG中,作为一个可靠且快速计算的早期停止标准,以有效地限制过度和计算密集型的过度优化。首先,我们在RAxML-NG (sRAxML-NG)中引入了一种简化的启发式树搜索策略,作为早期停止的基础方法。随后,我们将KH检验与sRAxML-NG结合使用,统计评估主要优化步骤前后中间树之间差异的显著性。当改进在统计上不显著时,树搜索会提前终止。我们还建议对标准KH测试进行扩展,允许对多个测试进行校正,从而在保持准确性的同时实现更高的速度。为了进行基准测试,我们使用了来自TreeBASE的300个大型代表性经验数据集。对于98%的DNA数据集,我们引入的所有早期停止方法推断的树在统计上等同于从RAxML-NG v1.2推断的树。对于AA数据集,sRAxML-NG、KH和KH-multiple测试版本推断出统计等效树的数据集的比例分别为96%、95%和92%。结合sRAxML-NG,与RAxML-NG v1.2相比,KH-multiple测试版本对DNA的平均加速是5倍,对蛋白质数据集的平均加速是3.9倍。我们在RAxML-NG中实现了我们的停止标准,该标准可在GNU GPL下从https://github.com/togkousa/raxml-ng/tree/stopping-criteria获得。
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引用次数: 0
Phylogenetic Estimation of Branch-specific Shifts in the Tempo of Origination 起源节奏中分支特异性转移的系统发育估计
IF 6.5 1区 生物学 Q1 EVOLUTIONARY BIOLOGY Pub Date : 2025-05-29 DOI: 10.1093/sysbio/syaf041
Bjørn T Kopperud, Sebastian Höhna
Studying rates of species diversification is one of the key themes in macroevolution. In particular, we are interested in if some clades in a phylogeny diversify more rapidly/slowly than others due to branch-specific diversification rates. A common approach in neontological studies is to use a phylogenetic birth-death process to model species diversification. Specifically, the birth-death-shift process is used to model branch-specific shifts in the tempo of diversification. Here, we present Pesto, a new method and software that estimates branch-specific diversification rates using an empirical Bayes approach. Pesto does not rely on Markov chain Monte Carlo simulations and instead deterministically computes the posterior mean branch-specific diversification rates using only two traversals of the tree. This method is blazingly fast: the birth-death-shift model can be fitted to large phylogenies (&gt;20k taxa) in minutes on a personal computer while also providing branch-specific inference of diversification rate shift events. Thus, we can robustly infer branch-specific diversification rates and the number of diversification rate shift events for large-scale phylogenies, as well as exploring the characteristics of the birth-death-shift model through complex and large-scale simulations. Here, we first describe the method and the software implementation Pesto and explore its behavior using trees simulated under the birth-death-shift model. Then, we explore the behavior of inferring significant branch-specific diversification rate shifts using both Bayes factors and effect sizes. We find few to no false positive inferences of diversification rate shift events but many false negatives (reduced power). The most difficult parameter to estimate is the rate at which diversification rate shifts occur. Despite this, branch-specific diversification rate estimates are precise and nearly unbiased.
研究物种多样化的速率是宏观进化的关键主题之一。特别是,我们感兴趣的是,由于分支特异性多样化率,系统发育中的某些分支是否比其他分支多样化得更快/更慢。在新生生物学研究中,常用的方法是使用系统发育的出生-死亡过程来模拟物种多样化。具体来说,出生-死亡-转移过程被用来模拟特定分支在多样化速度上的转移。在这里,我们提出了Pesto,一种新的方法和软件,使用经验贝叶斯方法估计特定分支的多样化率。Pesto不依赖于马尔可夫链蒙特卡罗模拟,而是使用树的两次遍历来确定地计算后验平均分支特定多样化率。这种方法非常快:在个人电脑上,出生-死亡-转移模型可以在几分钟内适用于大型系统发育(20k个分类群),同时还可以提供特定于分支的多样化速率转移事件推断。因此,我们可以稳健地推断出大尺度系统发育中特定分支的多样化率和多样化率转移事件的数量,并通过复杂和大规模的模拟来探索出生-死亡-转移模型的特征。本文首先描述了Pesto的方法和软件实现,并利用出生-死亡-移位模型下模拟的树来探索其行为。然后,我们探讨了使用贝叶斯因子和效应大小来推断显著的分支特定多元化率变化的行为。我们发现多元化率转移事件的假阳性推论很少或没有,但假阴性推论很多(降低功率)。最难估计的参数是多样化率变化发生的速率。尽管如此,针对具体分支的多元化率估计是准确的,几乎是无偏的。
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