Abstract
Phylogenomics aims at reconstructing the evolutionary histories of organisms taking into account whole genomes or large fractions of genomes. The abundance of genomic data for an enormous variety of organisms has enabled phylogenomic inference of many groups, and this has motivated the development of many computer programs implementing the associated methods. This chapter surveys phylogenetic concepts and methods aimed at both gene tree and species tree reconstruction while also addressing common pitfalls, providing references to relevant computer programs. A practical phylogenomic analysis example including bacterial genomes is presented at the end of the chapter.
References
Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW (2013) Genbank. Nucleic Acids Res 41(D1):D36–D42
O’Brien SJ, Menotti-Raymond M, Murphy WJ, Nash WG, Wienberg J, Stanyon R, Copeland NG, Jenkins NA, Womack JE, Graves JAM (1999) The promise of comparative genomics in mammals. Science 286(5439):458–481
Delsuc F, Brinkmann H, Philippe H (2005) Phylogenomics and the reconstruction of the tree of life. Nat Rev Genet 6(5):361–375
Eisen JA, Kaiser D, Myers RM (1997) Gastrogenomic delights: a movable feast. Nat Med 3(10):1076
Eisen JA (1998) Phylogenomics: improving functional predictions for uncharacterized genes by evolutionary analysis. Genome Res 8(3):163–167
Fan H, Ives AR, Surget-Groba Y, Cannon CH (2015) An assembly and alignment-free method of phylogeny reconstruction from next-generation sequencing data. BMC Genomics 16(1):522
Darling AE, Mau Bob, Perna NT (2010) progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PloS One 5(6):e11147
Minkin I, Patel A, Kolmogorov M, Vyahhi N, Pham S (2013) Sibelia: a scalable and comprehensive synteny block generation tool for closely related microbial genomes. In: International workshop on algorithms in bioinformatics. Springer, Berlin, pp 215–229
Gardner SN, Slezak T, Hall BG (2015) kSNP3.0: SNP detection and phylogenetic analysis of genomes without genome alignment or reference genome. Bioinformatics 31:2877–2878
Contreras-Moreira B, Vinuesa P (2013) Get_homologues, a versatile software package for scalable and robust microbial pangenome analysis. Appl Environ Microbiol 79(24):7696–7701
Li L, Stoeckert CJ, Roos DS (2003) Orthomcl: identification of ortholog groups for eukaryotic genomes. Genome Res 13(9):2178–2189
Kristensen DM, Kannan L, Coleman MK, Wolf YI, Sorokin A, Koonin EV, Mushegian A (2010) A low-polynomial algorithm for assembling clusters of orthologous groups from intergenomic symmetric best matches. Bioinformatics 26(12):1481–1487
Treangen TJ, Ondov BD, Koren S, Phillippy AM (2014) The harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol 15(11):524
Galtier N, Tourasse N, Gouy M (1999) A nonhyperthermophilic common ancestor to extant life forms. Science 283(5399):220–221
Bragg JG, Potter S, Bi K, Moritz C (2015) Exon capture phylogenomics: efficacy across scales of divergence. Mol Ecol Resour
Folk RA, Mandel JR, Freudenstein JV (2015) A protocol for targeted enrichment of intron-containing sequence markers for recent radiations: a phylogenomic example from heuchera (saxifragaceae). Appl Plant Sci 3(8):1500039
Bejerano G, Pheasant M, Makunin I, Stephen S, Kent WJ, Mattick JS, Haussler D (2004) Ultraconserved elements in the human genome. Science 304(5675):1321–1325
Faircloth BC, McCormack JE, Crawford NG, Harvey MG, Brumfield RT, Glenn TC (2012) Ultraconserved elements anchor thousands of genetic markers spanning multiple evolutionary timescales. Syst Biol 61:717–726
Crawford NG, Faircloth BC, McCormack JE, Brumfield RT, Winker K, Glenn TC (2012) More than 1000 ultraconserved elements provide evidence that turtles are the sister group of archosaurs. Biol Lett 8(5):783–786
Siepel A, Bejerano G, Pedersen JS, Hinrichs AS, Hou M, Rosenbloom K, Clawson H, Spieth J, Hillier LW, Richards S et al (2005) Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res 15(8):1034–1050
Glazov EA, Pheasant M, McGraw EA, Bejerano G, Mattick JS (2005) Ultraconserved elements in insect genomes: a highly conserved intronic sequence implicated in the control of homothorax mrna splicing. Genome Res 15(6):800–808
Zheng W-X, Zhang C-T (2008) Ultraconserved elements between the genomes of the plants arabidopsis thaliana and rice. J Biomol Struct Dyn 26(1):1–8
Smith BT, Harvey MG, Faircloth BC, Glenn TC, Brumfield RT (2013) Target capture and massively parallel sequencing of ultraconserved elements (uces) for comparative studies at shallow evolutionary time scales. Syst Biol 63:83–95
Faircloth BC (2015) PHYLUCE is a software package for the analysis of conserved genomic loci. Bioinformatics 32:786–788
Pearson T, Busch JD, Ravel J, Read TD, Rhoton SD, U’ren JM, Simonson TS, Kachur SM, Leadem RR, Cardon ML et al (2004) Phylogenetic discovery bias in bacillus anthracis using single-nucleotide polymorphisms from whole-genome sequencing. Proc Natl Acad Sci USA 101(37):13536–13541
Pearson T, Okinaka RT, Foster JT, Keim P (2009) Phylogenetic understanding of clonal populations in an era of whole genome sequencing. Infect Genet Evol 9(5):1010–1019
Leaché AD, Banbury BL, Felsenstein J, Nieto-Montes de Oca A, Stamatakis A (2015) Short tree, long tree, right tree, wrong tree: new acquisition bias corrections for inferring snp phylogenies. Syst Biol 64:1032–1047
Lewis PO (2001) A likelihood approach to estimating phylogeny from discrete morphological character data. Syst Biol 50(6):913–925
Bertels F, Silander OK, Pachkov M, Rainey PB, van Nimwegen E (2014) Automated reconstruction of whole-genome phylogenies from short-sequence reads. Mol Biol Evol 31(5):1077–1088
Stamatakis A (2014) Raxml version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30(9):1312–1313
Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ (2015) Iq-tree: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32(1):268–274
Ronquist F, Teslenko M, Van Der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP (2012) Mrbayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol 61(3):539–542
Nielsen R, Paul JS, Albrechtsen A, Song YS (2011) Genotype and snp calling from next-generation sequencing data. Nat Rev Genet 12(6):443–451
Rokas A, Holland PWH (2000) Rare genomic changes as a tool for phylogenetics. Trends Ecol Evol 15(11):454–459
Boore JL, Lavrov DV, Brown WM (1998) Gene translocation links insects and crustaceans. Nature 392(6677):667
Regier JC, Shultz JW, Zwick A, Hussey A, Ball B, Wetzer R, Martin JW, Cunningham CW (2010) Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences. Nature 463(7284):1079–1083
Yue F, Cui L, Moret BME, Tang J et al (2008) Gene rearrangement analysis and ancestral order inference from chloroplast genomes with inverted repeat. BMC Genomics 9(1):S25
Hu F, Lin Y, Tang J (2014) Mlgo: phylogeny reconstruction and ancestral inference from gene-order data. BMC Bioinf 15(1):354
Moret BME, Wyman S, Bader DA, Warnow T, Yan M (2001) A new implementation and detailed study of breakpoint analysis. In: Pacific symposium on biocomputing, vol 6, pp 583–594
Tang J, Moret BME (2003) Scaling up accurate phylogenetic reconstruction from gene-order data. Bioinformatics 19(suppl 1):i305–i312
Kang S, Tang J, Schaeffer SW, Bader DA (2011) Rec-DCM-Eigen: reconstructing a less parsimonious but more accurate tree in shorter time. PloS One 6(8):e22483
Hilker R, Sickinger C, Pedersen CNS, Stoye J (2012) Unimog—a unifying framework for genomic distance calculation and sorting based on DCJ. Bioinformatics 28(19):2509–2511
Hu F, Lin Y, Tang J (2014) MLGO: phylogeny reconstruction and ancestral inference from gene-order data. BMC Bioinf 15(354)
Mostowy S, Behr MA (2005) The origin and evolution of mycobacterium tuberculosis. Clin Chest Med 26(2):207–216
Belinky F, Cohen O, Huchon D (2010) Large-scale parsimony analysis of metazoan indels in protein-coding genes. Mol Biol Evol 27(2):441–451
Müller K (2005) Seqstate. Appl Bioinf 4(1):65–69
Rosenfeld JA, Oppenheim S, DeSalle R (2017) A whole genome gene content phylogenetic analysis of anopheline mosquitoes. Mol Phylogenet Evol 107:266–269
Lake JA, Rivera MC (2004) Deriving the genomic tree of life in the presence of horizontal gene transfer: conditioned reconstruction. Mol Biol Evol 21(4):681–690
Vos P, Hogers R, Bleeker M, Reijans M, Van de Lee T, Hornes M, Friters A, Pot J, Paleman J, Kuiper M et al (1995) Aflp: a new technique for dna fingerprinting. Nucleic Acids Res 23(21):4407–4414
Koopman WJM, Wissemann V, De Cock K, Van Huylenbroeck J, De Riek J, Sabatino GJH, Visser D, Vosman B, Ritz CM, Maes B et al (2008) Aflp markers as a tool to reconstruct complex relationships: a case study in rosa (rosaceae). Am J Bot 95(3):353–366
Murata S, Takasaki N, Saitoh M, Okada N (1993) Determination of the phylogenetic relationships among pacific salmonids by using short interspersed elements (sines) as temporal landmarks of evolution. Proc Natl Acad Sci 90(15):6995–6999
Verneau O, Catzeflis F, Furano AV (1998) Determining and dating recent rodent speciation events by using l1 (line-1) retrotransposons. Proc Natl Acad Sci 95(19):11284–11289
Gibson A, Brown T, Baker L, Drobniewski F (2005) Can 15-locus mycobacterial interspersed repetitive unit-variable-number tandem repeat analysis provide insight into the evolution of mycobacterium tuberculosis? Appl Environ Microbiol 71(12):8207–8213
Asher RJ (2007) A web-database of mammalian morphology and a reanalysis of placental phylogeny. BMC Evol Biol 7(1):108
Livezey BC, Zusi RL (2007) Higher-order phylogeny of modern birds (theropoda, aves: Neornithes) based on comparative anatomy. ii. analysis and discussion. Zool J Linnean Soc 149(1):1–95
Murray GGR, Weinert LA, Rhule EL, Welch JJ (2016) The phylogeny of rickettsia using different evolutionary signatures: how tree-like is bacterial evolution? Syst Biol 65(2):265–279
Liu F-GR, Miyamoto MM, Freire NP, Ong PQ, Tennant MR, Young TS, Gugel KF (2001) Molecular and morphological supertrees for Eutherian (placental) mammals. Science 291(5509):1786–1789
Wheeler WC, Lucaroni N, Hong L, Crowley LM, Varón A (2015) Poy version 5: phylogenetic analysis using dynamic homologies under multiple optimality criteria. Cladistics 31(2):189–196
Edgar RC (2004) Muscle: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32(5):1792–1797
Katoh K, Standley DM (2013) Mafft multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 30(4):772–780
Sela I, Ashkenazy H, Katoh K Pupko T (2015) Guidance2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters. Nucleic Acids Res 43(W1):W7–W14
Mirarab S, Nguyen N, Guo S, Wang L-S, Kim J, Warnow T (2015) Pasta: ultra-large multiple sequence alignment for nucleotide and amino-acid sequences. J Comput Biol 22(5):377–386
Nguyen N-PD, Mirarab S, Kumar K, Warnow T (2015) Ultra-large alignments using phylogeny-aware profiles. Genome Biol 16(1):124
Eddy SR (2011) Accelerated profile HMM searches. PLoS Comput Biol 7(10):e1002195
Larsson A (2014) Aliview: a fast and lightweight alignment viewer and editor for large datasets. Bioinformatics 30(22):3276–3278
Farris JS (1970) Methods for computing Wagner trees. Syst Biol 19(1):83–92
Camin JH, Sokal RR (1965) A method for deducing branching sequences in phylogeny. Evolution 311–326
Le Quesne WJ (1974) The uniquely evolved character concept and its cladistic application. Syst Biol 23(4):513–517
Farris JS (1977) Phylogenetic analysis under Dollo’s law. Syst Biol 26(1):77–88
Platt RN, Zhang Y, Witherspoon DJ, Xing J, Suh A, Keith MS, Jorde LB, Stevens RD, Ray DA (2015) Targeted capture of phylogenetically informative ves sine insertions in genus Myotis. Genome Biol Evol 7(6):1664–1675
Swofford DA, Olsen GJ (1990) Phylogeny reconstruction. In: Hillis DM, Moritz C (eds) Molecular systematics. Sinauer Associates, Sunderland, MA, pp 411–501
Sankoff D, Rousseau P (1975) Locating the vertices of a steiner tree in an arbitrary space. Math Program 9:240–246
Goloboff PA, Farris JS, Nixon KC (2008) Tnt, a free program for phylogenetic analysis. Cladistics 24(5):774–786
Müllner D (2011) fastcluster: Fast hierarchical clustering routines for R and Python
Khan MA, Elias I, Sjölund E, Nylander K, Guimera RV, Schobesberger E, Schmitzberger P, Lagergren J, Arvestad L (2013) Fastphylo: fast tools for phylogenetics. BMC Bioinf 14(1):334
Criscuolo A, Gascuel O (2008) Fast NJ-like algorithms to deal with incomplete distance matrices. BMC Bioinf 9(1):166
Lefort V, Desper R, Gascuel P(2015) Fastme 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program. Mol Biol Evol 32(10):2798–2800
Felsenstein J (2016) {PHYLIP}: phylogenetic inference package, version 3.5 c
Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ (2015) Iq-tree: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32(1):268–274
Price MN, Dehal PS, Arkin AP (2010) Fasttree 2–approximately maximum-likelihood trees for large alignments. PloS One 5(3):e9490
Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, Gascuel O (2010) New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of phyml 3.0. Syst Biol 59(3):307–321
Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953) Equation of state calculations by fast computing machines. J Chem Phys 21(6):1087–1092
Hastings WE (1970) Monte carlo sampling methods using Markov chains and their applications. Biometrika 57(1):97–109
Drummond AJ, Suchard MA, Xie D, Rambaut A (2012) Bayesian phylogenetics with beauti and the beast 1.7. Mol Biol Evol 29(8):1969–1973
Lewis PO, Holder MT, Swofford DL (2015) Phycas: software for Bayesian phylogenetic analysis. Syst Biol 64(3):525–531
Felsenstein J (1978) Cases in which parsimony or compatibility methods will be positively misleading. Syst Zool 401–410
Kolaczkowski B, Thornton JW (2004) Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneous. Nature 431(7011):980–984
Philippe H, Zhou Y, Brinkmann H, Rodrigue N, Delsuc F (2005) Heterotachy and long-branch attraction in phylogenetics. BMC Evol Biol 5(1):50
Gadagkar SR, Kumar S (2005) Maximum likelihood outperforms maximum parsimony even when evolutionary rates are heterotachous. Mol Biol Evol 22(11):2139–2141
Spencer M, Susko E, Roger AJ (2005) Likelihood, parsimony, and heterogeneous evolution. Mol Biol Evol 22(5):1161–1164
Ripplinger J, Sullivan J (2008) Does choice in model selection affect maximum likelihood analysis? Syst Biol 57(1):76–85
Warnow T (2012) Standard maximum likelihood analyses of alignments with gaps can be statistically inconsistent. PLOS Curr Tree Life 4:RRN1308
Simmons MP, Pickett KM, Miya M (2004) How meaningful are Bayesian support values? Mol Biol Evol 21(1):188–199
Rannala B, Zhu T, Yang Z (2012) Tail paradox, partial identifiability, and influential priors in Bayesian branch length inference. Mol Biol Evol 29(1):325–335
Hendy MD, Penny D (1982) Branch and bound algorithms to determine minimal evolutionary trees. Math Biosci 59(2):277–290
Nixon KC (1999) The parsimony ratchet, a new method for rapid parsimony analysis. Cladistics 15(4):407–414
Bazinet AL, Zwickl DJ, Cummings MP (2014) A gateway for phylogenetic analysis powered by grid computing featuring garli 2.0. Syst Biol 63(5):812–818
Helaers R, Milinkovitch MC (2010) Metapiga v2. 0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heuristics. BMC Bioinf 11(1):379
Goloboff PA (1999) Analyzing large data sets in reasonable times: solutions for composite optima. Cladistics 15(4):415–428
Roshan UW, Warnow T, Moret BME, Williams TL (2004) Rec-i-dcm3: a fast algorithmic technique for reconstructing phylogenetic trees. In: Proceedings of 2004 I.E. computational systems bioinformatics conference, 2004. CSB 2004. IEEE, New York, pp 98–109
Swofford DL (2003) Paup*. phylogenetic analysis using parsimony (* and other methods). version 4.
Yang Z (1994) Estimating the pattern of nucleotide substitution. J Mol Evol 39(1):105–111
Tavaré S (1986) Some probabilistic and statistical problems in the analysis of dna sequences. Lect Math Life Sci 17:57–86
Jukes TH, Cantor CR (1969) Evolution of protein molecules. Mamm Protein Metab 3(21):132
Kimura M (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16(2):111–120
Hasegawa M, Kishino H, Yano T-A (1985) Dating of the human-ape splitting by a molecular clock of mitochondrial dna. J Mol Evol 22(2):160–174
Yang Z (1996) Among-site rate variation and its impact on phylogenetic analyses. Trends Ecol Evol 11(9):367–372
Mayrose I, Friedman N, Pupko T (2005) A gamma mixture model better accounts for among site rate heterogeneity. Bioinformatics 21(suppl 2):ii151–ii158
Lartillot N, Philippe H (2004) A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. Mol Biol Evol 21(6):1095–1109
Le SQ, Lartillot N, Gascuel O (2008) Phylogenetic mixture models for proteins. Philos Trans R Soc B 363(1512):3965–3976
Felsenstein J, Churchill GA (1996) A hidden Markov model approach to variation among sites in rate of evolution. Mol Biol Evol 13(1):93–104
McGuire G, Wright F, Prentice MJ (2000) A Bayesian model for detecting past recombination events in dna multiple alignments. J Comput Biol 7(1–2):159–170
Boussau B, Guéguen L, Gouy M (2009) A mixture model and a hidden Markov model to simultaneously detect recombination breakpoints and reconstruct phylogenies. Evol Bioinf 5:67
Lopez P, Casane D, Philippe H (2002) Heterotachy, an important process of protein evolution. Mol Biol Evol 19(1):1–7
Galtier N, Gouy M (1998) Inferring pattern and process: maximum-likelihood implementation of a nonhomogeneous model of dna sequence evolution for phylogenetic analysis. Mol Biol Evol 15(7):871–879
Schöniger M, Von Haeseler A (1994) A stochastic model for the evolution of autocorrelated dna sequences. Mol Phylogenet Evol 3(3):240–247
Muse SV (1995) Evolutionary analyses of dna sequences subject to constraints of secondary structure. Genetics 139(3):1429–1439
Rzhetsky A (1995) Estimating substitution rates in ribosomal RNA genes. Genetics 141(2):771–783
Savill NJ, Hoyle DC, Higgs PG (2001) Rna sequence evolution with secondary structure constraints: comparison of substitution rate models using maximum-likelihood methods. Genetics 157(1):399–411
Renée E, Tillier M (1994) Maximum likelihood with multiparameter models of substitution. J Mol Evol 39(4):409–417
Higgs PG (2000) RNA secondary structure: physical and computational aspects. Q Rev Biophys 33(3):199–253
Tillier ERM, Collins RA (1998) High apparent rate of simultaneous compensatory base-pair substitutions in ribosomal rna. Genetics 148(4):1993–2002
Allen JE, Whelan S (2014) Assessing the state of substitution models describing noncoding RNA evolution. Genome Biol Evol 6(1):65–75
Dayhoff MO, Schwartz RM, Orcutt BC (1978) 22 a model of evolutionary change in proteins. In: Atlas of protein sequence and structure, vol 5. National Biomedical Research Foundation, Silver Spring, MD, pp 345–352
Henikoff S, Henikoff JG (1992) Amino acid substitution matrices from protein blocks. Proc Natl Acad Sci 89(22):10915–10919
Jones DT, Taylor WR, Thornton JM (1992) The rapid generation of mutation data matrices from protein sequences. Comput. Appl. Biosci. 8(3):275–282
Whelan S, Goldman N (2001) A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach. Mol Biol Evol 18(5):691–699
Le SQ, Gascuel O (2008) An improved general amino acid replacement matrix. Mol Biol Evol 25(7):1307–1320
Yang Z, Nielsen R, Hasegawa M (1998) Models of amino acid substitution and applications to mitochondrial protein evolution. Mol Biol Evol 15(12):1600–1611
Dang CC, Le QS, Gascuel O, Le VS (2010) Flu, an amino acid substitution model for influenza proteins. BMC Evol Biol 10(1):99
Le SQ, Dang CC, Gascuel O (2012) Modeling protein evolution with several amino acid replacement matrices depending on site rates. Mol Biol Evol 29:2921–2936
Muse SV, Gaut BS (1994) A likelihood approach for comparing synonymous and nonsynonymous nucleotide substitution rates, with application to the chloroplast genome. Mol Biol Evol 11(5):715–724
Goldman N, Yang Z (1994) A codon-based model of nucleotide substitution for protein-coding dna sequences. Mol Biol Evol 11(5):725–736
Yang Z, Nielsen R (1998) Synonymous and nonsynonymous rate variation in nuclear genes of mammals. J Mol Evol 46(4):409–418
Whelan S, Goldman N (2004) Estimating the frequency of events that cause multiple-nucleotide changes. Genetics 167(4):2027–2043
Kosiol C, Holmes I, Goldman N (2007) An empirical codon model for protein sequence evolution. Mol Biol Evol 24(7):1464–1479
Gil M, Zanetti MS, Zoller S, Anisimova M (2013) CodonPhyML: fast maximum likelihood phylogeny estimation under codon substitution models. Mol Biol Evol, page mst034
Wright AM, Hillis DM (2014) Bayesian analysis using a simple likelihood model outperforms parsimony for estimation of phylogeny from discrete morphological data. PLoS One 9(10):e109210
Ho SYW, Jermiin LS (2004) Tracing the decay of the historical signal in biological sequence data. Syst Biol 53(4):623–637
Lemmon AR, Moriarty EC (2004) The importance of proper model assumption in Bayesian phylogenetics. Syst Biol 53(2):265–277
Sullivan J, Swofford DL (1997) Are guinea pigs rodents? The importance of adequate models in molecular phylogenetics. J Mamm Evol 4(2):77–86
Sullivan J, Joyce P (2005) Model selection in phylogenetics. Annu Rev Ecol Evol Syst 36:445–466
Posada D, Crandall KA (2001) Selecting the best-fit model of nucleotide substitution. Syst Biol 50(4):580–601
Abdo Z, Minin VN, Joyce P, Sullivan J (2005) Accounting for uncertainty in the tree topology has little effect on the decision-theoretic approach to model selection in phylogeny estimation. Mol Biol Evol 22(3):691–703
Kullback S, Leibler RA (1951) On information and sufficiency. Ann Math Stat 22(1):79–86
Anderson DR, Burnham KP (2002) Avoiding pitfalls when using information-theoretic methods. J Wildl Manag 66:912–918
Schwarz G et al (1978) Estimating the dimension of a model. Ann Stat 6(2):461–464
Kass RE, Raftery AE (1995) Bayes factors. J Am Stat Assoc 90(430):773–795
Minin V, Abdo Z, Joyce P, Sullivan J (2003) Performance-based selection of likelihood models for phylogeny estimation. Syst Biol 52(5):674–683
Darriba D, Taboada GL, Doallo R, Posada D (2012) jModelTest 2: more models, new heuristics and parallel computing. Nature methods 9(8):772–772
Posada D, Buckley TR (2004) Model selection and model averaging in phylogenetics: advantages of Akaike information criterion and Bayesian approaches over likelihood ratio tests. Syst Biol 53(5):793–808
Hoff M, Orf S, Riehm B, Darriba D, Stamatakis A (2016) Does the choice of nucleotide substitution models matter topologically? BMC Bioinf 17(1):143
Luo A, Qiao H, Zhang Y, Shi W, Ho SYW, Xu W, Zhang A, Zhu C (2010) Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets. BMC Evol Biol 10(1):242
Duchêne S, Duchêne DA, Di Giallonardo F, Eden J-S, Geoghegan JL, Holt KE, Ho SYW, Holmes EC (2016) Cross-validation to select Bayesian hierarchical models in phylogenetics. BMC Evol Biol 16(1):115
Lartillot N, Brinkmann H, Philippe H (2007) Suppression of long-branch attraction artefacts in the animal phylogeny using a site-heterogeneous model. BMC Evol Biol 7(1):S4
Whelan S, Allen JE, Blackburne BP, Talavera D (2015) Modelomatic: fast and automated model selection between RY, nucleotide, amino acid, and codon substitution models. Syst Biol 64(1):42–55
Lartillot N, Philippe H (2006) Computing bayes factors using thermodynamic integration. Syst Biol 55(2):195–207
Baele G, Lemey P, Bedford T, Rambaut A, Suchard MA, Alekseyenko AV (2012) Improving the accuracy of demographic and molecular clock model comparison while accommodating phylogenetic uncertainty. Mol Biol Evol 29(9):2157–2167
Fan Y, Wu R, Chen M-H, Kuo L, Lewis PO (2011) Choosing among partition models in Bayesian phylogenetics. Mol Biol Evol 28(1):523–532
Huelsenbeck JP, Larget B, Alfaro ME (2004) Bayesian phylogenetic model selection using reversible jump Markov chain monte carlo. Mol Biol Evol 21(6):1123–1133
Brandley MC, Schmitz A, Reeder TW (2005) Partitioned Bayesian analyses, partition choice, and the phylogenetic relationships of scincid lizards. Syst Biol 54(3):373–390
Li C, Lu G, Orti G (2008) Optimal data partitioning and a test case for ray-finned fishes (actinopterygii) based on ten nuclear loci. Syst Biol 57(4):519–539
Lanfear R, Calcott B, Ho SYW, Guindon S (2012) Partitionfinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses. Mol Biol Evol 29(6):1695–1701
Kurtz S, Phillippy A, Delcher AL, Smoot M, Shumway M, Antonescu C, Salzberg SL (2004) Versatile and open software for comparing large genomes. Genome Biol 5(2):R12
Roure B, Rodriguez-Ezpeleta N, Philippe H (2007) SCaFoS: a tool for selection, concatenation and fusion of sequences for phylogenomics. BMC Evol Biol 7(1):S2
Wiens JJ (2003) Missing data, incomplete taxa, and phylogenetic accuracy. Syst Biol 52(4):528–538
Wiens JJ (2006) Missing data and the design of phylogenetic analyses. J Biomed Inform 39(1):34–42
Jeffroy O, Brinkmann H, Delsuc F, Philippe H (2006) Phylogenomics: the beginning of incongruence? Trends Genet 22(4):225–231
Simmons MP (2012) Misleading results of likelihood-based phylogenetic analyses in the presence of missing data. Cladistics 28(2):208–222
Lemmon AR, Brown JM, Stanger-Hall K, Lemmon EM (2009) The effect of ambiguous data on phylogenetic estimates obtained by maximum likelihood and Bayesian inference. Syst Biol 58(1):130–145
Foster PG (2004) Modeling compositional heterogeneity. Syst Biol 53(3):485–495
Kapralov MV, Filatov DA (2007) Widespread positive selection in the photosynthetic rubisco enzyme. BMC Evol Biol 7(1):73
Yang Z, Rannala B (2005) Branch-length prior influences Bayesian posterior probability of phylogeny. Syst Biol 54(3):455–470
Lewis PO, Holder MT, Holsinger KE (2005) Polytomies and Bayesian phylogenetic inference. Syst Biol 54(2):241–253
Aberer AJ, Stamatakis A (2011) A simple and accurate method for rogue taxon identification. In: 2011 I.E. international conference on bioinformatics and biomedicine (BIBM). IEEE, New York, pp 118–122
Bergsten J (2005) A review of long-branch attraction. Cladistics 21(2):163–193
Fourment M, Gibbs MJ (2006) Patristic: a program for calculating patristic distances and graphically comparing the components of genetic change. BMC Evol Biol 6(1):1
Xia X, Xie Z, Salemi M, Chen L, Wang Y (2003) An index of substitution saturation and its application. Mol Phylogenet Evol 26(1):1–7
Xia X, Xie Z (2001) DAMBE: software package for data analysis in molecular biology and evolution. J Hered 92(4):371–373
Goremykin VV, Nikiforova SV, Bininda-Emonds ORP (2010) Automated removal of noisy data in phylogenomic analyses. J Mol Evol 71(5-6):319–331
Cummins CA, McInerney JO (2011) A method for inferring the rate of evolution of homologous characters that can potentially improve phylogenetic inference, resolve deep divergence and correct systematic biases. Syst Biol 60(6):833–844
Simmons MP, Gatesy J (2016) Biases of tree-independent-character-subsampling methods. Mol Phylogenet Evol 100:424–443
Chang BSW, Campbell DL (2000) Bias in phylogenetic reconstruction of vertebrate rhodopsin sequences. Mol Biol Evol 17(8):1220–1231
Simmons MP, Zhang L-B, Webb CT, Reeves A (2006) How can third codon positions outperform first and second codon positions in phylogenetic inference? an empirical example from the seed plants. Syst Biol 55(2):245–258
Bradley RD, Durish ND, Rogers DS, Miller JR, Engstrom MD, Kilpatrick CW (2007) Toward a molecular phylogeny for Peromyscus: evidence from mitochondrial cytochrome-b sequences. J Mammal 88(5):1146–1159
Cox CJ, Foster PG, Hirt RP, Harris SR, and Embley TM (2008) The archaebacterial origin of eukaryotes. Proc Natl Acad Sci 105(51):20356–20361
Benoit Nabholz, Axel Künstner, Rui Wang, Erich D Jarvis, and Hans Ellegren (2011) Dynamic evolution of base composition: causes and consequences in avian phylogenomics. Mol Biol Evol 28(8):2197–2210
Jermiin LS, Ho JWK, Lau KW, Jayaswal V (2009) SeqVis: a tool for detecting compositional heterogeneity among aligned nucleotide sequences. Bioinf DNA Seq Anal 65–91
Sheffield NC, Song H, Cameron SL, Whiting MF (2009) Nonstationary evolution and compositional heterogeneity in beetle mitochondrial phylogenomics. Syst Biol 58(4):381–394
Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T (2009) trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25(15):1972–1973
Aberer AJ, Krompaß D, Stamatakis A (2011) RogueNaRok: an efficient and exact algorithm for rogue taxon identification. Heidelberg Institute for Theoretical Studies: Exelixis-RRDR-2011–10
Trautwein MD, Wiegmann BM, Yeates DK (2011) Overcoming the effects of rogue taxa: evolutionary relationships of the bee flies. PLOS Currents Tree of Life
Aberer AJ, Krompass D, Stamatakis A (2013) Pruning rogue taxa improves phylogenetic accuracy: an efficient algorithm and webservice. Syst Biol 62(1):162–166
Pattengale N, Aberer A, Swenson K, Stamatakis A, Moret B (2011) Uncovering hidden phylogenetic consensus in large data sets. IEEE/ACM Trans Comput Biol Bioinf 8(4):902–911
Heath TA, Hedtke SM, Hillis DM (2008) Taxon sampling and the accuracy of phylogenetic analyses. J Syst Evol 46(3):239–257
Felsenstein J (1985) Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39:783–791
Minh BQ, Nguyen MAT, von Haeseler A (2013) Ultrafast approximation for phylogenetic bootstrap. Mol Biol Evol 30:1188–1195
Felsenstein J, Felenstein J (2004) Inferring phylogenies, vol 2. Sinauer Associates, Sunderland
Farris JS, Albert VA, Källersjö M, Lipscomb D, Kluge AG (1996) Parsimony jackknifing outperforms neighbor-joining. Cladistics 12(2):99–124
Yang Y, Smith SA (2014) Orthology inference in nonmodel organisms using transcriptomes and low-coverage genomes: improving accuracy and matrix occupancy for phylogenomics. Mol Biol Evol 31(11):3081–3092
Chaudhary R, Fernández-Baca D, Burleigh JG (2014) Mulrf: a software package for phylogenetic analysis using multi-copy gene trees. Bioinformatics 31:432–433
Anisimova M, Gascuel O (2006) Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative. Syst Biol 55(4):539–552
Shimodaira H, Hasegawa M (1999) Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Mol Biol Evol 16:1114–1116
Anisimova M, Gil M, Dufayard J-F, Dessimoz C, Gascuel O (2011) Survey of branch support methods demonstrates accuracy, power, and robustness of fast likelihood-based approximation schemes. Syst Biol 60:681–699
Salichos L, Stamatakis A, Rokas A (2014) Novel information theory-based measures for quantifying incongruence among phylogenetic trees. Mol Biol Evol 31:1261–1271
Kobert K, Salichos L, Rokas A, Stamatakis A (2016) Computing the internode certainty and related measures from partial gene trees. Mol Biol Evol 33:1606–1617
Bremer K et al. (1994) Branch support and tree stability. Cladistics 10(3):295–304
Wilkinson M, Thorley JL, Upchurch P (2000) A chain is no stronger than its weakest link: double decay analysis of phylogenetic hypotheses. Syst Biol 49(4):754–776
Thorley JL, Page RDM (2000) RadCon: phylogenetic tree comparison and consensus. Bioinformatics 16(5):486–487
Geisler JH, McGowen MR, Yang G, Gatesy J (2011) A supermatrix analysis of genomic, morphological, and paleontological data from crown cetacea. BMC Evol Biol 11(1):112
Hillis DM, Bull JJ (1993) An empirical test of bootstrapping as a method for assessing confidence in phylogenetic analysis. Syst Biol 42(2):182–192
Scannell DR, Byrne KP, Gordon JL, Wong S, Wolfe KH (2006) Multiple rounds of speciation associated with reciprocal gene loss in polyploid yeasts. Nature 440(7082):341–345
Robinson DF, Foulds LR (1981) Comparison of phylogenetic trees. Math Biosci 53(1-2):131–147
Williams WT, Clifford HT (1971) On the comparison of two classifications of the same set of elements. Taxon 519–522
Billera LJ, Holmes SP, Vogtmann K (2001) Geometry of the space of phylogenetic trees. Adv Appl Math 27(4):733–767
Owen M, Provan JS (2011) A fast algorithm for computing geodesic distances in tree space. IEEE/ACM Trans Comput Biol Bioinf 8(1):2–13
Amenta N, Godwin M, Postarnakevich N, John KS (2007) Approximating geodesic tree distance. Information Processing Letters 103(2):61–65
Estabrook GF, McMorris FR, Meacham CA (1985) Comparison of undirected phylogenetic trees based on subtrees of four evolutionary units. Syst Biol 34(2):193–200
Critchlow DE, Pearl DK, Qian C (1996) The triples distance for rooted bifurcating phylogenetic trees. Syst Biol 45(3):323–334
Gordon AD (1983) On the assessment and comparison of classifications. University of St. Andrews. Department of Statistics
Kuhner MK, Yamato J (2015) Practical performance of tree comparison metrics. Syst Biol 64(2):205–214
Gori K, Suchan T, Alvarez N, Goldman N, Dessimoz C (2016) Clustering genes of common evolutionary history. Mol Biol Evol 33:1590–1605
Templeton AR (1983) Phylogenetic inference from restriction endonuclease cleavage site maps with particular reference to the evolution of humans and the apes. Evolution 37:221–244
Kishino H, Hasegawa M (1989) Evaluation of the maximum likelihood estimate of the evolutionary tree topologies from dna sequence data, and the branching order in hominoidea. J Mol Evol 29(2):170–179
Susko E (2014) Tests for two trees using likelihood methods. Mol Biol Evol 31:1029–1039
Karin EL, Susko E, Pupko T (2014) Alignment errors strongly impact likelihood-based tests for comparing topologies. Mol Biol Evol 31(11):3057–3067
Buckley TR (2002) Model misspecification and probabilistic tests of topology: evidence from empirical data sets. Syst Biol 51(3):509–523
Shimodaira H (2002) An approximately unbiased test of phylogenetic tree selection. Syst Biol 51(3):492–508
Goldman N, Anderson JP, Rodrigo AG (2000) Likelihood-based tests of topologies in phylogenetics. Syst Biol 49(4):652–670
Strimmer K, Rambaut A (2002) Inferring confidence sets of possibly misspecified gene trees. Proc R Soc Lond B Biol Sci 269(1487):137–142
Shimodaira H, Hasegawa M (2001) Consel: for assessing the confidence of phylogenetic tree selection. Bioinformatics 17(12):1246–1247
Church SH, Ryan JF, Dunn CW (2015) Automation and evaluation of the SOWH test with SOWHAT. Syst Biol 64(6):1048–1058
Madison WP (1997) Gene trees in species trees. Syst Biol 46(3):523–536
Nakhleh L (2013) Computational approaches to species phylogeny inference and gene tree reconciliation. Trends Ecol Evol 28(12):719–728
Szöllősi GJ, Tannier E, Daubin V, Boussau B (2014) The inference of gene trees with species trees. Syst Biol 64:e42–e62
Degnan JH, Rosenberg NA (2009) Gene tree discordance, phylogenetic inference and the multispecies coalescent. Trends Ecol Evol 24(6):332–340
Rannala B, Yang Z (2003) Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci. Genetics 164(4):1645–1656
Arnold ML (1997) Natural hybridization and evolution. Oxford University Press, Oxford
Mallet J (2007) Hybrid speciation. Nature 446(7133):279
Lewis-Rogers N, Crandall KA, Posada D (2004) Evolutionary analyses of genetic recombination. Dyn Genet 408:49–78
Riley SPD, Shaffer HB, Voss SR, Fitzpatrick BM (2003) Hybridization between a rare, native tiger salamander (ambystoma californiense) and its introduced congener. Ecol. Appl.13(5):1263–1275
Sheppard SK, Didelot X, Jolley KA, Darling AE, Pascoe B, Meric G, Kelly DJ, Cody A, Colles FM, Strachan NJC et al (2013) Progressive genome-wide introgression in agricultural campylobacter coli. Mol Ecol 22(4):1051–1064
Storfer A, Mech SG, Reudink MW, Ziemba RE, Warren J, Collins JP, Wood RM (2004) Evidence for introgression in the endangered sonora tiger salamander, ambystoma tigrinum stebbinsi (lowe). Copeia 2004(4):783–796
Goloboff PA, Catalano SA, Mirande JM, Szumik CA, Arias JS, Källersjö M, Farris JS (2009) Phylogenetic analysis of 73 060 taxa corroborates major eukaryotic groups. Cladistics 25(3):211–230
Sullivan GM, Feinn R (2012) Using effect size—or why the p value is not enough. J Grad Med Educ 4(3):279–282
Rokas A, Carroll SB (2006) Bushes in the tree of life. PLoS Biol 4(11):e352
Phillips MJ, Delsuc F, Penny D (2004) Genome-scale phylogeny and the detection of systematic biases. Mol Biol Evol 21(7):1455–1458
Gatesy J, O’Grady P, Baker RH (1999) Corroboration among data sets in simultaneous analysis: hidden support for phylogenetic relationships among higher level artiodactyl taxa. Cladistics 15(3):271–313
Mirarab S, Reaz R, Bayzid MS, Zimmermann T, Swenson MS, Warnow T (2014) Astral: genome-scale coalescent-based species tree estimation. Bioinformatics 30(17):i541–i548
Degnan JH, Rosenberg NA (2006) Discordance of species trees with their most likely gene trees. PLoS Genet 2(5):e68
Warnow T (2011) Concatenation analyses in the presence of incomplete lineage sorting. PLoS Currents 7
Baum BR (1992) Combining trees as a way of combining data sets for phylogenetic inference, and the desirability of combining gene trees. Taxon 3–10
Ragan MA (1992) Phylogenetic inference based on matrix representation of trees. Mol Phylogenet Evol 1(1):53–58
Beck RMD, Bininda-Emonds ORP, Cardillo M, Liu F-GR, Purvis A (2006) A higher-level mrp supertree of placental mammals. BMC Evol Biol 6(1):93
Kupczok A, Schmidt HA, von Haeseler A (2010) Accuracy of phylogeny reconstruction methods combining overlapping gene data sets. Algorithms Mol Biol 5(1):37
Swenson MS, Suri R, Linder CR, Warnow T (2011) An experimental study of quartets maxcut and other supertree methods. Algorithms Mol. Biol. 6(1):7
Swenson MS, Suri R, Linder CR, Warnow T (2012) Superfine: fast and accurate supertree estimation. Syst Biol 61(2):214–227
Nguyen N, Mirarab S, Warnow T (2012) MRL and SuperFine+ MRL: new supertree methods. Algorithms for Molecular Biology 7(1):3
Creevey CJ, McInerney JO (2005) Clann: investigating phylogenetic information through supertree analyses. Bioinformatics 21(3):390–392
Scornavacca C, Berry V, Lefort V, Douzery EJP, Ranwez V (2008) Physic_ist: cleaning source trees to infer more informative supertrees. BMC Bioinf 9(1):413
Binet M, Gascuel O, Scornavacca C, Douzery EJP, Pardi F (2016) Fast and accurate branch lengths estimation for phylogenomic trees. BMC Bioinf 17(1):23
Vachaspati P, Warnow T (2016) FastRFs: fast and accurate Robinson-Foulds supertrees using constrained exact optimization. Bioinformatics 33:631–639
Edwards SV, Xi Z, Janke A, Faircloth BC, McCormack JE, Glenn TC, Zhong B, Wu S, Lemmon EM, Lemmon AR et al (2016) Implementing and testing the multispecies coalescent model: a valuable paradigm for phylogenomics. Mol Phylogenet Evol 94:447–462
Bayzid SM, Warnow T (2012) Estimating optimal species trees from incomplete gene trees under deep coalescence. J Comput Biol 19(6):591–605
Davis KE, Page RD (2014) Reweaving the tapestry: a supertree of birds. PLoS Curr 6. https://doi.org/10.1371/currents.tol.c1af68dda7c999ed9f1e4b2d2df7a08e
Chaudhary R, Bansal MS, Wehe A, Fernández-Baca D, Eulenstein O (2010) iGTP: a software package for large-scale gene tree parsimony analysis. BMC Bioinf 11(1):574
Yu Y, Dong J, Liu KJ, Nakhleh L (2014) Maximum likelihood inference of reticulate evolutionary histories. Proc Natl Acad Sci 111(46):16448–16453
Bouckaert R, Heled J, Kühnert D, Vaughan T, Wu C-H, Xie D, Suchard MA, Rambaut A, Drummond AJ (2014) Beast 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol 10(4):e1003537
Edwards SV, Liu L, Pearl DK (2007) High-resolution species trees without concatenation. Proc Natl Acad Sci 104(14):5936–5941
Mossel E, Roch S (2010) Incomplete lineage sorting: consistent phylogeny estimation from multiple loci. IEEE/ACM Trans Comput Biol Bioinf 7(1):166–171
Liu L, Yu L, Pearl DK, Edwards SV (2009) Estimating species phylogenies using coalescence times among sequences. Syst Biol 58(5):468–477
Liu L, Yu L, Kubatko L, Pearl DK, Edwards SV (2009) Coalescent methods for estimating phylogenetic trees. Mol Phylogenet Evol 53(1):320–328
Kubatko LS, Carstens BC, Knowles LL (2009) Stem: species tree estimation using maximum likelihood for gene trees under coalescence. Bioinformatics 25(7):971–973
Ané C, Larget B, Baum DA, Smith SD, Rokas A (2007) Bayesian estimation of concordance among gene trees. Mol Biol Evol 24(2):412–426
Larget BR, Kotha SK, Dewey CN, Ané C (2010) Bucky: gene tree/species tree reconciliation with Bayesian concordance analysis. Bioinformatics 26(22):2910–2911
Liu L, Yu L, Edwards SV (2010) A maximum pseudo-likelihood approach for estimating species trees under the coalescent model. BMC Evol Biol 10(1):302
Mirarab S, Warnow T (2015) ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes. Bioinformatics 31(12):i44–i52
Vachaspati P, Warnow T (2015) Astrid: accurate species trees from internode distances. BMC Genomics 16(10):S3
Zimmermann T, Mirarab S, Warnow T (2014) Bbca: improving the scalability of* beast using random binning. BMC Genomics 15(6):S11
Bryant D, Bouckaert R, Felsenstein J, Rosenberg NA, RoyChoudhury A (2012) Inferring species trees directly from biallelic genetic markers: bypassing gene trees in a full coalescent analysis. Mol Biol Evol 29(8):1917–1932
Chifman J, Kubatko L (2014) Quartet inference from SNP data under the coalescent model. Bioinformatics 30(23):3317–3324
Chifman J, Kubatko L (2015) Identifiability of the unrooted species tree topology under the coalescent model with time-reversible substitution processes, site-specific rate variation, and invariable sites. J Theor Biol 374:35–47
Degnan JH, DeGiorgio M, Bryant D, Rosenberg NA (2009) Properties of consensus methods for inferring species trees from gene trees. Syst Biol 58(1):35–54
Allman ES, Degnan JH, Rhodes JA (2011) Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescent. Journal of mathematical biology 62(6):833–862
Lefort V, Desper R, Gascuel O (2015) FastME 2.0: a comprehensive, accurate and fast distance-based phylogeny inference program. Mol Biol Evol 32(10):2798–2800
Springer MS, Gatesy J (2016) The gene tree delusion. Mol Phylogenet Evol 94:1–33
Bayzid MS, Mirarab S, Warnow TJ (2013) Inferring optimal species trees under gene duplication and loss. In: Pacific symposium on biocomputing, vol 18, pp 250–261
Boussau B, Szöllősi GJ, Duret L, Gouy M, Tannier E, Daubin V (2013) Genome-scale coestimation of species and gene trees. Genome Res 23(2):323–330
Lang JM, Darling AE, Eisen JA (2013) Phylogeny of bacterial and archaeal genomes using conserved genes: supertrees and supermatrices. PloS One 8(4):e62510
Pride DT, Meinersmann RJ, Wassenaar TM, Blaser MJ (2003) Evolutionary implications of microbial genome tetranucleotide frequency biases. Genome Res 13(2):145–158
Davidson R, Vachaspati P, Mirarab S, Warnow T (2015) Phylogenomic species tree estimation in the presence of incomplete lineage sorting and horizontal gene transfer. BMC Genomics 16(10):S1
Tonini J, Moore A, Stern D, Shcheglovitova M, Ortí G (2015) Concatenation and species tree methods exhibit statistically indistinguishable accuracy under a range of simulated conditions. PLOS Curr Tree Life
Daubin V, Gouy M, Perriere G (2002) A phylogenomic approach to bacterial phylogeny: evidence of a core of genes sharing a common history. Genome Res 12(7):1080–1090
Bevan RB, Lang BF, Bryant D (2005) Calculating the evolutionary rates of different genes: a fast, accurate estimator with applications to maximum likelihood phylogenetic analysis. Syst Biol 54(6):900–915
Manthey JD, Campillo LC, Burns KJ, Moyle RG (2016) Comparison of target-capture and restriction-site associated dna sequencing for phylogenomics: a test in cardinalid tanagers (aves, genus: Piranga). Syst Biol 65:640–650
de Vienne DM, Ollier S, Aguileta G (2012) Phylo-MCOA: a fast and efficient method to detect outlier genes and species in phylogenomics using multiple co-inertia analysis. Mol Biol Evol 29(6):1587–1598
Mirarab S, Bayzid MS, Boussau B, Warnow T (2014) Statistical binning improves species tree estimation in the presence of gene tree incongruence. Science 346:1250463
Bayzid MS, Mirarab S, Boussau B, Warnow T (2015) Weighted statistical binning: enabling statistically consistent genome-scale phylogenetic analyses. PLoS One 10(6):e0129183
Narechania A, Baker RH, Sit R, Kolokotronis S-O, DeSalle R, Planet PJ (2012) Random addition concatenation analysis: a novel approach to the exploration of phylogenomic signal reveals strong agreement between core and shell genomic partitions in the cyanobacteria. Genome Biol Evol 4(1):30–43
Edwards SV (2016) Phylogenomic subsampling: a brief review. Zool Scr 45(S1):63–74
Simmons MP, Sloan DB, Gatesy J (2016) The effects of subsampling gene trees on coalescent methods applied to ancient divergences. Mol Phylogenet Evol 97:76–89
Strimmer K, Von Haeseler A (1997) Likelihood-mapping: a simple method to visualize phylogenetic content of a sequence alignment. Proc Natl Acad Sci 94(13):6815–6819
Dell’Ampio E, Meusemann K, Szucsich NU, Peters RS, Meyer B, Borner J, Petersen M, Aberer AJ, Stamatakis A, Walzl MG et al (2014) Decisive data sets in phylogenomics: lessons from studies on the phylogenetic relationships of primarily wingless insects. Mol Biol Evol 31(1):239–249
Arcila D, Ortí G, Vari R, Armbruster JW, Stiassny MLJ, Ko KD, Sabaj MH, Lundberg J, Revell LJ, Betancur-R R (2017) Genome-wide interrogation advances resolution of recalcitrant groups in the tree of life. Nat Ecol Evol 1:0020
Huson DH, Bryant D (2006) Application of phylogenetic networks in evolutionary studies. Mol Biol Evol 23(2):254–267
Bryant D, Moulton V (2004) Neighbor-net: an agglomerative method for the construction of phylogenetic networks. Mol Biol Evol 21(2):255–265
Boc A, Makarenkov V et al (2012) T-rex: a web server for inferring, validating and visualizing phylogenetic trees and networks. Nucleic Acids Res 40(W1):W573–W579
Legendre P, Makarenkov V (2002) Reconstruction of biogeographic and evolutionary networks using reticulograms. Syst Biol 51(2):199–216
Solís-Lemus C, Ané C (2016) Inferring phylogenetic networks with maximum pseudolikelihood under incomplete lineage sorting. PLoS Genet 12(3):e1005896
Hejase HA, Liu KJ (2016) A scalability study of phylogenetic network inference methods using empirical datasets and simulations involving a single reticulation. BMC Bioinf 17(1):422
Didelot X, Falush D (2007) Inference of bacterial microevolution using multilocus sequence data. Genetics 175(3):1251–1266
Didelot X, Lawson D, Darling A, Falush D (2010) Inference of homologous recombination in bacteria using whole-genome sequences. Genetics 186(4):1435–1449
Wollenberg MS, Ruby EG (2012) Phylogeny and fitness of Vibrio fischeri from the light organs of euprymna scolopes in two Oahu, Hawaii populations. ISME J 6(2):352–362
Suh A (2016) The phylogenomic forest of bird trees contains a hard polytomy at the root of neoaves. Zool Scr 45(S1):50–62
Contreras-Moreira B, Vinuesa P. Get_homologues, a versatile software package for scalable and robust microbial pangenome analysis. Appl Environ Microbiol 79(24):7696–7701 (2013)
Li L, Stoeckert CJ, Roos DS (2003) Orthomcl: identification of ortholog groups for eukaryotic genomes. Genome Res 13(9):2178–2189
Penn O, Privman E, Landan G, Graur D, Pupko T (2010) An alignment confidence score capturing robustness to guide tree uncertainty. Mol Biol Evol 27(8):1759–1767
Gupta RS (1998) Protein phylogenies and signature sequences: a reappraisal of evolutionary relationships among archaebacteria, eubacteria, and eukaryotes. Microbiol Mol Biol Rev 62(4):1435–1491
Ajawatanawong P, Baldauf SL (2013) Evolution of protein indels in plants, animals and fungi. BMC Evol Biol 13(1):1
Rodriguez-R LM, Grajales A, Arrieta-Ortiz ML, Salazar C, Restrepo S, Bernal A (2012) Genomes-based phylogeny of the genus Xanthomonas. BMC Microbiol 12(1):1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media LLC
About this protocol
Cite this protocol
Patané, J.S.L., Martins, J., Setubal, J.C. (2018). Phylogenomics. In: Setubal, J., Stoye, J., Stadler, P. (eds) Comparative Genomics. Methods in Molecular Biology, vol 1704. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7463-4_5
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7463-4_5
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-7461-0
Online ISBN: 978-1-4939-7463-4
eBook Packages: Springer Protocols