Literature DB >> 23749787

Addressing gene tree discordance and non-stationarity to resolve a multi-locus phylogeny of the flatfishes (Teleostei: Pleuronectiformes).

Ricardo Betancur-R1, Chenhong Li, Thomas A Munroe, Jesus A Ballesteros, Guillermo Ortí.   

Abstract

Non-homogeneous processes and, in particular, base compositional non-stationarity have long been recognized as a critical source of systematic error. But only a small fraction of current molecular systematic studies methodically examine and effectively account for the potentially confounding effect of non-stationarity. The problem is especially overlooked in multi-locus or phylogenomic scale analyses, in part because no efficient tools exist to accommodate base composition heterogeneity in large data sets. We present a detailed analysis of a data set with 20 genes and 214 taxa to study the phylogeny of flatfishes (Pleuronectiformes) and their position among percomorphs. Most genes vary significantly in base composition among taxa and fail to resolve flatfish monophyly and other emblematic groups, suggesting that non-stationarity may be causing systematic error. We show a strong association between base compositional bias and topological discordance among individual gene partitions and their inferred trees. Phylogenetic methods applying non-homogeneous models to accommodate non-stationarity have relatively minor effect to reduce gene tree discordance, suggesting that available computer programs applying these methods do not scale up efficiently to the data set of modest size analysed in this study. By comparing phylogenetic trees obtained with species tree (STAR) and concatenation approaches, we show that gene tree discordance in our data set is most likely due to base compositional biases than to incomplete lineage sorting. Multi-locus analyses suggest that the combined phylogenetic signal from all loci in a concatenated data set overcomes systematic biases induced by non-stationarity at each partition. Finally, relationships among flatfishes and their relatives are discussed in the light of these results. We find support for the monophyly of flatfishes and confirm findings from previous molecular phylogenetic studies suggesting their close affinity with several carangimorph groups (i.e., jack and allies, barracuda, archerfish, billfish and swordfish, threadfin, moonfish, beach salmon, and snook and barramundi).

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Year:  2013        PMID: 23749787     DOI: 10.1093/sysbio/syt039

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  24 in total

1.  A Robust ANOVA Approach to Estimating a Phylogeny from Multiple Genes.

Authors:  Ximing Xu; Katherine A Dunn; Chris Field
Journal:  Mol Biol Evol       Date:  2015-04-03       Impact factor: 16.240

2.  Post-Cretaceous bursts of evolution along the benthic-pelagic axis in marine fishes.

Authors:  Emanuell Ribeiro; Aaron M Davis; Rafael A Rivero-Vega; Guillermo Ortí; Ricardo Betancur-R
Journal:  Proc Biol Sci       Date:  2018-12-19       Impact factor: 5.349

3.  Limited utility of residue masking for positive-selection inference.

Authors:  Stephanie J Spielman; Eric T Dawson; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2014-06-03       Impact factor: 16.240

4.  Comprehensive phylogeny of ray-finned fishes (Actinopterygii) based on transcriptomic and genomic data.

Authors:  Lily C Hughes; Guillermo Ortí; Yu Huang; Ying Sun; Carole C Baldwin; Andrew W Thompson; Dahiana Arcila; Ricardo Betancur-R; Chenhong Li; Leandro Becker; Nicolás Bellora; Xiaomeng Zhao; Xiaofeng Li; Min Wang; Chao Fang; Bing Xie; Zhuocheng Zhou; Hai Huang; Songlin Chen; Byrappa Venkatesh; Qiong Shi
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-14       Impact factor: 11.205

5.  Integrated gene mapping and synteny studies give insights into the evolution of a sex proto-chromosome in Solea senegalensis.

Authors:  Silvia Portela-Bens; Manuel Alejandro Merlo; María Esther Rodríguez; Ismael Cross; Manuel Manchado; Nadezda Kosyakova; Thomas Liehr; Laureana Rebordinos
Journal:  Chromosoma       Date:  2016-04-14       Impact factor: 4.316

6.  Large-scale sequencing of flatfish genomes provides insights into the polyphyletic origin of their specialized body plan.

Authors:  Zhenming Lü; Li Gong; Yandong Ren; Yongjiu Chen; Zhongkai Wang; Liqin Liu; Haorong Li; Xianqing Chen; Zhenzhu Li; Hairong Luo; Hui Jiang; Yan Zeng; Yifan Wang; Kun Wang; Chen Zhang; Haifeng Jiang; Wenting Wan; Yanli Qin; Jianshe Zhang; Liang Zhu; Wei Shi; Shunping He; Bingyu Mao; Wen Wang; Xiaoyu Kong; Yongxin Li
Journal:  Nat Genet       Date:  2021-04-19       Impact factor: 38.330

7.  The tree of life and a new classification of bony fishes.

Authors:  Ricardo Betancur-R; Richard E Broughton; Edward O Wiley; Kent Carpenter; J Andrés López; Chenhong Li; Nancy I Holcroft; Dahiana Arcila; Millicent Sanciangco; James C Cureton Ii; Feifei Zhang; Thaddaeus Buser; Matthew A Campbell; Jesus A Ballesteros; Adela Roa-Varon; Stuart Willis; W Calvin Borden; Thaine Rowley; Paulette C Reneau; Daniel J Hough; Guoqing Lu; Terry Grande; Gloria Arratia; Guillermo Ortí
Journal:  PLoS Curr       Date:  2013-04-18

8.  Interrogating Phylogenetic Discordance Resolves Deep Splits in the Rapid Radiation of Old World Fruit Bats (Chiroptera: Pteropodidae).

Authors:  Nicolas Nesi; Georgia Tsagkogeorga; Susan M Tsang; Violaine Nicolas; Aude Lalis; Annette T Scanlon; Silke A Riesle-Sbarbaro; Sigit Wiantoro; Alan T Hitch; Javier Juste; Corinna A Pinzari; Frank J Bonaccorso; Christopher M Todd; Burton K Lim; Nancy B Simmons; Michael R McGowen; Stephen J Rossiter
Journal:  Syst Biol       Date:  2021-10-13       Impact factor: 15.683

9.  Concerted Evolution of Duplicate Control Regions in the Mitochondria of Species of the Flatfish Family Bothidae (Teleostei: Pleuronectiformes).

Authors:  Dong-He Li; Wei Shi; Thomas A Munroe; Li Gong; Xiao-Yu Kong
Journal:  PLoS One       Date:  2015-08-03       Impact factor: 3.240

10.  Phylotranscriptomics: saturated third codon positions radically influence the estimation of trees based on next-gen data.

Authors:  Jesse W Breinholt; Akito Y Kawahara
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

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