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ES-sim-GLM, a Multiple Regression Trait-Dependent Diversification Approach ES-sim-GLM,一种多元回归特征相关多样化方法
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2022-01-24 DOI: 10.1007/s11692-021-09557-7
Matthew O. Moreira, Carlos Fonseca, Danny Rojas

Identifying the role of quantitative variables on speciation rates is among the main purposes of trait-dependent diversification methods. ES-sim, a recent simulation-based approach that relies on Pearson’s correlations, allows testing trait-dependent diversification for single regression models. Here, we modified this approach to include generalized linear models and two independent variables. To examine the effects of multiple traits on speciation we modified ES-sim and integrated generalized linear models instead of Pearson’s correlations. We named the new approach as ES-sim-GLM. We further evaluated how this modified method performs in both single and multiple regression modelling. For this, we analyzed the relationship of speciation rates with geographic range size and snout-to-vent length in 216 species from the family Liolaemidae, a South American radiation of Andean lizards. Based on simulations, ES-sim-GLM for single regression models shows high power, low false discovery rates and is robust to incomplete taxon sampling. ES-sim-GLM for multiple regression models shows lower power but also low false-discovery rates. Both remained computationally efficient. Using Liolaemidae data, we found that larger species but with smaller species geographic range sizes were associated with higher speciation rates. To the best of our knowledge, no study as addressed these relationships in this clade. Our results provide new insights on macroevolutionary methods that should be relevant to all organisms and facilitate future studies that aim to understand diversification patterns across the Tree of Life.

确定数量变量对物种形成率的作用是性状依赖多样化方法的主要目的之一。ES-sim是最近一种基于模拟的方法,它依赖于Pearson的相关性,允许测试单个回归模型的性状依赖多样化。在这里,我们修改了这种方法,包括广义线性模型和两个自变量。为了研究多性状对物种形成的影响,我们修改了ES-sim模型,并集成了广义线性模型,而不是Pearson相关模型。我们将这种新方法命名为ES-sim-GLM。我们进一步评估了这种改进的方法在单次和多次回归建模中的表现。为此,我们分析了安第斯蜥蜴科216种的物种形成率与地理范围大小和口口长度的关系。仿真结果表明,单回归模型的ES-sim-GLM具有高功率、低错误发现率和对不完全分类群采样的鲁棒性。ES-sim-GLM用于多元回归模型显示出较低的功率,但也较低的错误发现率。两者都保持了计算效率。利用油油虫科的数据,我们发现,较大的物种和较小的物种地理范围大小与较高的物种形成率相关。据我们所知,目前还没有研究涉及这一分支的这些关系。我们的研究结果提供了与所有生物相关的宏观进化方法的新见解,并促进了旨在理解生命之树多样化模式的未来研究。
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引用次数: 0
Evolutionary Processes in Cancer 癌症的进化过程
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2022-01-12 DOI: 10.1093/obo/9780199941728-0139
Cancer develops through the evolution of somatic cells in multicellular bodies. The familiar dynamics of organismal evolution, including mutations, natural selection, genetic drift, and migration, also occur among the cells of multicellular organisms. In some cases, but not all, these evolutionary processes lead to cancer. This has profound implications for both our understanding of cancer and our treatment of the disease, as well as its prevention. All of our medical interventions impose selective pressures on the heterogeneous populations of billions of cells in tumors, and tend to select for mutant cells that are resistant to the intervention, regardless of whether the intervention is a drug, radiation, the immune system, or anything else that has been tried. We will likely need evolutionary and ecological approaches to cancer to manage its evolution in response to our interventions. The field of the evolutionary biology and ecology of cancer is still young and relatively small. We are in the early stages of translating ideas and tools from evolutionary biology and ecology to study and manage cancers. There is a desperate need for more researchers with expertise in evolutionary biology and ecology to apply their skills and ideas to cancer. Currently, there are far more important questions that need to be addressed than there are people to address them.
癌症是通过多细胞体内体细胞的进化而发展起来的。常见的生物进化动力学,包括突变、自然选择、基因漂移和迁移,也发生在多细胞生物的细胞中。在某些情况下,但不是所有情况下,这些进化过程会导致癌症。这对我们理解癌症、治疗和预防癌症有着深远的影响。我们所有的医疗干预措施都对肿瘤中数十亿细胞的异质性群体施加了选择性压力,并倾向于选择对干预有抵抗力的突变细胞,无论干预是药物、辐射、免疫系统还是任何其他已经尝试过的方法。我们可能需要对癌症采取进化和生态学方法来管理其进化,以应对我们的干预措施。癌症的进化生物学和生态学领域还很年轻,相对较小。我们正处于将进化生物学和生态学的思想和工具转化为研究和管理癌症的早期阶段。迫切需要更多具有进化生物学和生态学专业知识的研究人员将他们的技能和想法应用于癌症。目前,需要解决的重要问题远远多于需要解决的人。
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引用次数: 0
Surface Representation and Morphometric Analysis Based on Discrete Cosine Transform 基于离散余弦变换的曲面表示与形态计量学分析
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2022-01-11 DOI: 10.1007/s11692-021-09558-6
Bingjue Li, Shengmin Zhou, Heng Nie
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引用次数: 0
Cranial Anatomical Integration and Disparity Among Bones Discriminate Between Primates and Non-primate Mammals 灵长类和非灵长类哺乳动物的颅骨解剖整合和骨骼差异
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-11-10 DOI: 10.1007/s11692-021-09555-9
B. Esteve-Altava
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引用次数: 2
Predictive Factors of Chemical and Visual Sensory Organ Size: The Roles of Sex, Environment, and Evolution 化学和视觉感觉器官大小的预测因素:性别、环境和进化的作用
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-11-08 DOI: 10.1007/s11692-021-09554-w
M. R. Ruiz-Monachesi, C. Abdala, James A. Schulte, Felix Benjamin Cruz
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引用次数: 1
Dynamic Cohort Analysis Reveals Fluctuating Patterns of Selection Within a Hybrid Zone Between the Killifish Fundulus heteroclitus and F. grandis 动态队列分析揭示异交底鳉和大鳉鱼杂交区内选择的波动模式
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-10-21 DOI: 10.1007/s11692-021-09553-x
M. Gilg, Emily V. Kerns, Natalia E Gutierrez-Bayona, Catherine Kooyomjian, N. A. Hinojosa
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引用次数: 0
What if… Sponges Originated 890 Million Years Ago? On the Emergence of Some Precursors of Animal Sentience 如果海绵起源于8.9亿年前呢?动物知觉的一些前体的出现
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-09-23 DOI: 10.1007/s11692-021-09551-z
Michael Andrade, Daubian Santos, Gabriel M. Bueno, C. M. D. Santos
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引用次数: 1
Overcoming the Spurious Groups Problem in Between-Group PCA 克服群间PCA中的伪群问题
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-09-01 DOI: 10.1007/s11692-021-09550-0
J. Thioulouse, S. Renaud, A. Dufour, S. Dray
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引用次数: 8
A New Method for Landmark-Based Studies of the Dynamic Stability of Growth, with Implications for Evolutionary Analyses 基于里程碑的生长动态稳定性研究的新方法及其对进化分析的启示
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-08-28 DOI: 10.1007/s11692-021-09548-8
F. Bookstein
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引用次数: 1
Consistent Prevalence of Spondyloarthropathy Over 2300 Years: Ancient Egyptians and the Synchronic Baboon Catacomb 2300多年来脊椎关节病的持续流行:古埃及人和同期狒狒墓穴
IF 2.5 2区 生物学 Q1 Agricultural and Biological Sciences Pub Date : 2021-08-18 DOI: 10.1007/s11692-021-09549-7
B. Rothschild
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引用次数: 0
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Evolutionary Biology
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