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	Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets
	Luo, Arong2,3; Qiao, Huijie2,3; Zhang, Yanzhou2; Shi, Weifeng4; Ho, Simon Y. W.5,6; Xu, Weijun7; Zhang, Aibing1; Zhu, Chaodong2
刊名	Bmc evolutionary biology
	2010-08-09
卷号	10页码:13
ISSN号	1471-2148
DOI	10.1186/1471-2148-10-242
通讯作者	Zhang, aibing(zhangab2008@gmail.com)
英文摘要	Background: explicit evolutionary models are required in maximum-likelihood and bayesian inference, the two methods that are overwhelmingly used in phylogenetic studies of dna sequence data. appropriate selection of nucleotide substitution models is important because the use of incorrect models can mislead phylogenetic inference. to better understand the performance of different model-selection criteria, we used 33,600 simulated data sets to analyse the accuracy, precision, dissimilarity, and biases of the hierarchical likelihood-ratio test, akaike information criterion, bayesian information criterion, and decision theory. results: we demonstrate that the bayesian information criterion and decision theory are the most appropriate model-selection criteria because of their high accuracy and precision. our results also indicate that in some situations different models are selected by different criteria for the same dataset. such dissimilarity was the highest between the hierarchical likelihood-ratio test and akaike information criterion, and lowest between the bayesian information criterion and decision theory. the hierarchical likelihood-ratio test performed poorly when the true model included a proportion of invariable sites, while the bayesian information criterion and decision theory generally exhibited similar performance to each other. conclusions: our results indicate that the bayesian information criterion and decision theory should be preferred for model selection. together with model-adequacy tests, accurate model selection will serve to improve the reliability of phylogenetic inference and related analyses.
WOS关键词	LIKELIHOOD RATIO TESTS ; MAXIMUM-LIKELIHOOD ; NUCLEOTIDE SUBSTITUTION ; MOLECULAR PHYLOGENETICS ; SEQUENCE EVOLUTION ; STATISTICAL TESTS ; MITOCHONDRIAL-DNA ; BAYES FACTORS ; MONTE-CARLO ; HETEROGENEITY
WOS研究方向	Evolutionary Biology ; Genetics & Heredity
WOS类目	Evolutionary Biology ; Genetics & Heredity
语种	英语
出版者	BIOMED CENTRAL LTD
WOS记录号	WOS:000282767000001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2405441
专题	中国科学院大学
通讯作者	Zhang, Aibing
作者单位	1.Capital Normal Univ, Coll Life Sci, Beijing 100048, Peoples R China 2.Chinese Acad Sci, Inst Zool, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 4.Univ Coll Dublin, UCD Conway Inst Biomol & Biomed Sci, Dublin 4, Ireland 5.Australian Natl Univ, Res Sch Biol, Ctr Macroevolut & Macroecol, Canberra, ACT 0200, Australia 6.Univ Sydney, Sch Biol Sci, Sydney, NSW 2006, Australia 7.Nanjing Normal Univ, Zhongbei Coll, Nanjing 210046, Peoples R China
推荐引用方式 GB/T 7714	Luo, Arong,Qiao, Huijie,Zhang, Yanzhou,et al. Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets[J]. Bmc evolutionary biology,2010,10:13.
APA	Luo, Arong.,Qiao, Huijie.,Zhang, Yanzhou.,Shi, Weifeng.,Ho, Simon Y. W..,...&Zhu, Chaodong.(2010).Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets.Bmc evolutionary biology,10,13.
MLA	Luo, Arong,et al."Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets".Bmc evolutionary biology 10(2010):13.

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