Department of Life Sciences, Imperial College London, London, UK.
Data Science Institute, Imperial College London, London, UK.
Nat Hum Behav. 2020 Aug;4(8):780-790. doi: 10.1038/s41562-020-0844-7. Epub 2020 May 11.
Neutral models of evolution assume the absence of natural selection. Formerly confined to ecology and evolutionary biology, neutral models are spreading. In recent years they've been applied to explaining the diversity of baby names, scientific citations, cryptocurrencies, pot decorations, literary lexica, tumour variants and much more besides. Here, we survey important neutral models and highlight their similarities. We investigate the most widely used tests of neutrality, show that they are weak and suggest more powerful methods. We conclude by discussing the role of neutral models in the explanation of diversity. We suggest that the ability of neutral models to fit low-information distributions should not be taken as evidence for the absence of selection. Nevertheless, many studies, in increasingly diverse fields, make just such claims. We call this tendency 'neutral syndrome'.
中性进化模型假设不存在自然选择。中性模型以前仅限于生态学和进化生物学,但现在正在扩散。近年来,它们已被应用于解释婴儿名字、科学引文、加密货币、大麻装饰、文学词汇、肿瘤变体等的多样性。在这里,我们调查了重要的中性模型,并强调了它们的相似之处。我们研究了最广泛使用的中性检验,表明它们是薄弱的,并提出了更强大的方法。最后,我们讨论了中性模型在解释多样性中的作用。我们认为,中性模型拟合低信息量分布的能力不应被视为缺乏选择的证据。尽管如此,许多在越来越多样化的领域进行的研究都提出了这样的观点。我们将这种趋势称为“中性综合征”。