Abstract
Many organisms are able to incorporate exogenous DNA into their genomes. This process, called lateral gene transfer (LGT), has the potential to benefit the recipient organism by providing useful coding sequences, such as antibiotic resistance genes or enzymes which expand the organism’s metabolic niche. For evolutionary biologists, LGTs have often been considered a nuisance because they complicate the reconstruction of the underlying species tree that many analyses aim to recover. However, LGT events between distinct organisms harbor information on the relative divergence time of the donor and recipient lineages. As a result transfers provide a novel and as yet mostly unexplored source of information to determine the order of divergence of clades, with the potential for absolute dating if linked to the fossil record.
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References
Gogarten JP, Murphey RD, Olendzenski L. Horizontal gene transfer: pitfalls and promises. Biol Bull 1999;196: 359–61; discussion 361–2.
Szöllosi GJ, Tannier E, Lartillot N, Daubin V (2013) Lateral gene transfer from the dead. Syst Biol 62:386–397
Huang J, Xu Y, Gogarten JP (2005) The presence of a haloarchaeal type tyrosyl-tRNA synthetase marks the opisthokonts as monophyletic. Mol Biol Evol 22:2142–2146
Davín AA, Tannier E, Williams TA, Boussau B, Daubin V, Szöllősi GJ (2018) Gene transfers can date the tree of life. Nat Ecol Evol 2:904–909
Jacox E, Chauve C, Szöllősi GJ, Ponty Y, Scornavacca C (2016) ecceTERA: comprehensive gene tree-species tree reconciliation using parsimony. Bioinformatics 32:2056–2058
Boussau B, Szöllosi GJ, Duret L, Gouy M, Tannier E, Daubin V (2013) Genome-scale coestimation of species and gene trees. Genome Res 23:323–330
Bansal MS, Alm EJ, Kellis M (2012) Efficient algorithms for the reconciliation problem with gene duplication, horizontal transfer and loss. Bioinformatics 28:i283–i291
Szöllősi GJ, Rosikiewicz W, Boussau B (2013) Efficient exploration of the space of reconciled gene trees. Syst Biol 62(6):901–912. Available: https://academic.oup.com/sysbio/article-abstract/62/6/901/1711882
de Oliveira ML, Posada D (2017) Species tree estimation from genome-wide data with guenomu. Methods Mol Biol 1525:461–478
Szöllősi GJ, Davín AA, Tannier E, Daubin V, Boussau B (2015) Genome-scale phylogenetic analysis finds extensive gene transfer among fungi. Philos Trans R Soc Lond Ser B Biol Sci 370:20140335
Morel B, Kozlov AM, Stamatakis A, Szöllősi GJ (2020) GeneRax: a tool for species-tree-aware maximum likelihood-based gene family tree inference under gene duplication, transfer, and loss. Mol Biol Evol 37:2763–2774
Chauve C, Rafiey A, Davin AA, Scornavacca C, Veber P, Boussau B et al (2017) MaxTiC: fast ranking of a phylogenetic tree by maximum time consistency with lateral gene transfers. bioRxiv:127548. https://doi.org/10.1101/127548
Coleman GA, Davín AA, Mahendrarajah TA, Szánthó LL, Spang A, Hugenholtz P et al (2021) A rooted phylogeny resolves early bacterial evolution. Science 372. https://doi.org/10.1126/science.abe0511
Felsenstein J (1981) Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol 17:368–376
Thorne JL, Kishino H, Painter IS (1998) Estimating the rate of evolution of the rate of molecular evolution. Mol Biol Evol:1647–1657. https://doi.org/10.1093/oxfordjournals.molbev.a025892
Yang Z (2005) Bayesian inference in molecular phylogenetics. In: Gascuel O (ed) Mathematics of evolution and phylogeny. Oxford University Press, Oxford
Lartillot N, Lepage T, Blanquart S (2009) PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating. Bioinformatics 25:2286–2288
Höhna S, Landis MJ, Heath TA, Boussau B, Lartillot N, Moore BR et al (2016) RevBayes: Bayesian phylogenetic inference using graphical models and an interactive model-specification language. Syst Biol 65:726–736
Szöllősi GJ, Höhna S, Williams TA, Schrempf D, Daubin V, Boussau B Relative time constraints improve molecular dating. Syst Biol. https://doi.org/10.1101/2020.10.17.343889
Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S et al (2012) MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol 61:539–542
Bouckaert R, Heled J, Kühnert D, Vaughan T, Wu C-H, Xie D et al (2014) BEAST 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol 10:e1003537
Parks DH, Chuvochina M, Chaumeil P-A, Rinke C, Mussig AJ, Hugenholtz P (2020) A complete domain-to-species taxonomy for Bacteria and Archaea. Nat Biotechnol 38:1079–1086
Parks DH, Chuvochina M, Waite DW, Rinke C, Skarshewski A, Chaumeil P-A et al (2018) A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat Biotechnol 36:996–1004
Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW, Hauser LJ (2010) Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinform 11:119
Buchfink B, Xie C, Huson DH (2015) Fast and sensitive protein alignment using DIAMOND. Nat Methods 12:59–60
Katoh K, Misawa K, Kuma K-I, Miyata T (2002) MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res 30:3059–3066
Criscuolo A, Gribaldo S (2010) BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments. BMC Evol Biol 10:210
Lartillot N, Philippe H (2004) A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. Mol Biol Evol 21:1095–1109
Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A et al (2020) IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol 37:1530–1534
Brown JR, Douady CJ, Italia MJ, Marshall WE, Stanhope MJ (2001) Universal trees based on large combined protein sequence data sets. Nat Genet 28:281–285
Mirarab S, Reaz R, Bayzid MS, Zimmermann T, Swenson MS, Warnow T (2014) ASTRAL: genome-scale coalescent-based species tree estimation. Bioinformatics 30:i541–i548
Szöllősi GJ, Boussau B, Abby SS (2012) Phylogenetic modeling of lateral gene transfer reconstructs the pattern and relative timing of speciations. Proc Natl Acad Sci USA 109(43):17513–17518. Available: https://www.pnas.org/content/109/43/17513.short
Lechner M, Findeiss S, Steiner L, Marz M, Stadler PF, Prohaska SJ (2011) Proteinortho: detection of (co-)orthologs in large-scale analysis. BMC Bioinform 12:124
Gouy M, Guindon S, Gascuel O (2010) SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Mol Biol Evol 27:221–224
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Davín, A.A., Schrempf, D., Williams, T.A., Hugenholtz, P., Szöllősi, G.J. (2022). Relative Time Inference Using Lateral Gene Transfers. In: Luo, H. (eds) Environmental Microbial Evolution. Methods in Molecular Biology, vol 2569. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2691-7_4
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