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One thousand plant transcriptomes and the phylogenomics of green plants
Abstract
Green plants (Viridiplantae) include around 450,000–500,000 species 1,2 of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life.
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The grasses radiated following a whole-genome duplication, the ~70 M ya Rho WGD.
“Like most plant families (Barker et al., 2016; Stebbins, 1950; One Thousand Plant Transcriptomes Initiative, 2019), but unlike nearly all animal lineages (Muller, 1925), the grasses radiated following a whole-genome duplication: the ~70 M ya Rho WGD.”
From GENESPACE tracks regions of interest and gene copy number variation across multiple genomes (2022) · cites this paper as One Thousand Plant Transcriptomes Initiative, 2019
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Philippe, H., Delsuc, F., Brinkmann, H., & Lartillot, N. (2005) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.35.112202.130205 · Cited by 306
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Flagged first, then by citations
Research works printed but not linked: 105
- Corlett, R. T. Plant diversity in a changing world: status, trends, and conservation needs. Plant Divers. 38, 10–16 (2016). · DOI
- Lughadha, E. N. et al. Counting counts: revised estimates of numbers of accepted species of flowering plants, seed plants, vascular plants and land plants with a review of other recent estimates. Phytotaxa 272, 82–88 (2016). · DOI
- Kumar, S., Stecher, G., Suleski, M. & Hedges, S. B. TimeTree: a resource for timelines, timetrees, and divergence times. Mol. Biol. Evol. 34, 1812–1819 (2017). · DOI
- Eisen, J. A. Phylogenomics: improving functional predictions for uncharacterized genes by evolutionary analysis. Genome Res. 8, 163–167 (1998). · DOI
- Degnan, J. H. & Rosenberg, N. A. Gene tree discordance, phylogenetic inference and the multispecies coalescent. Trends Ecol. Evol. 24, 332–340 (2009). · DOI
- Solís-Lemus, C., Yang, M. & Ané, C. Inconsistency of species tree methods under gene flow. Syst. Biol. 65, 843–851 (2016). · DOI
- Yang, Z. et al. Horizontal gene transfer is more frequent with increased heterotrophy and contributes to parasite adaptation. Proc. Natl Acad. Sci. USA 113, E7010–E7019 (2016). · DOI
- Rasmussen, M. D. & Kellis, M. Unified modeling of gene duplication, loss, and coalescence using a locus tree. Genome Res. 22, 755–765 (2012). · DOI
- Ohno, S. Evolution by Gene Duplication (Springer-Verlag, 1970). · DOI · Paper page
- Force, A. et al. Preservation of duplicate genes by complementary, degenerative mutations. Genetics 151, 1531–1545 (1999). · DOI · Paper page
- Leitch, I. J. & Leitch, A. R. in Plant Genome Diversity Vol. 2 (eds Greilhuber, J. et al.) 307–322 (Springer, 2013). · DOI
- Kapraun, D. F. Nuclear DNA content estimates in green algal lineages: chlorophyta and streptophyta. Ann. Bot. 99, 677–701 (2007). · DOI
- Mirarab, S. & Warnow, T. ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes. Bioinformatics 31, i44–i52 (2015). · DOI
- Barker, M. S. et al. Multiple paleopolyploidizations during the evolution of the Compositae reveal parallel patterns of duplicate gene retention after millions of years. Mol. Biol. Evol. 25, 2445–2455 (2008). · DOI
- Barker, M. S. et al. EvoPipes.net: Bioinformatic Tools for Ecological and Evolutionary Genomics. Evol. Bioinform. Online 6, 143–149 (2010). · DOI
- Li, Z. et al. Early genome duplications in conifers and other seed plants. Sci. Adv. 1, e1501084 (2015). · DOI
- Amborella Genome Project. The Amborella genome and the evolution of flowering plants. Science 342, 1241089 (2013). · DOI
- Ruelens, P. et al. The origin of floral organ identity quartets. Plant Cell 29, 229–242 (2017). · DOI
- Vekemans, D. et al. Gamma paleohexaploidy in the stem lineage of core eudicots: significance for MADS-box gene and species diversification. Mol. Biol. Evol. 29, 3793–3806 (2012). · DOI
- Vanneste, K., Maere, S. & Van de Peer, Y. Tangled up in two: a burst of genome duplications at the end of the Cretaceous and the consequences for plant evolution. Phil. Trans. R. Soc.B 369, 20130353 (2014). · DOI
- The Tomato Genome Consortium. The tomato genome sequence provides insights into fleshy fruit evolution. Nature 485, 635–641 (2012). · DOI
- Cannon, S. B. et al. Multiple polyploidy events in the early radiation of nodulating and nonnodulating legumes. Mol. Biol. Evol. 32, 193–210 (2015). · DOI
- Schranz, M. E., Mohammadin, S. & Edger, P. P. Ancient whole genome duplications, novelty and diversification: the WGD Radiation Lag-Time Model. Curr. Opin. Plant Biol. 15, 147–153 (2012). · DOI
- Tank, D. C. et al. Nested radiations and the pulse of angiosperm diversification: increased diversification rates often follow whole genome duplications. New Phytol. 207, 454–467 (2015). · DOI
- Landis, J. B. et al. Impact of whole-genome duplication events on diversification rates in angiosperms. Am. J. Bot. 105, 348–363 (2018). · DOI
- Maere, S. et al. Modeling gene and genome duplications in eukaryotes. Proc. Natl Acad. Sci. USA 102, 5454–5459 (2005). · DOI
- Hanada, K., Zou, C., Lehti-Shiu, M. D., Shinozaki, K. & Shiu, S.-H. Importance of lineage-specific expansion of plant tandem duplicates in the adaptive response to environmental stimuli. Plant Physiol. 148, 993–1003 (2008). · DOI
- Nelson, D. & Werck-Reichhart, D. A P450-centric view of plant evolution. Plant J. 66, 194–211 (2011). · DOI
- Simão, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V. & Zdobnov, E. M. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31, 3210–3212 (2015). · DOI · Paper page
- Bowman, J. L. et al. Insights into land plant evolution garnered from the Marchantia polymorpha genome. Cell 171, 287–304 (2017). · DOI
- Catarino, B., Hetherington, A. J., Emms, D. M., Kelly, S. & Dolan, L. The stepwise increase in the number of transcription factor families in the Precambrian predated the diversification of plants on land. Mol. Biol. Evol. 33, 2815–2819 (2016). · DOI
- Wilhelmsson, P. K. I., Mühlich, C., Ullrich, K. K. & Rensing, S. A. Comprehensive genome-wide classification reveals that many plant-specific transcription factors evolved in streptophyte algae. Genome Biol. Evol. 9, 3384–3397 (2017). · DOI
- Rodríguez-Ezpeleta, N. et al. Monophyly of primary photosynthetic eukaryotes: green plants, red algae, and glaucophytes. Curr. Biol. 15, 1325–1330 (2005). · DOI
- Qiu, H., Price, D. C., Yang, E. C., Yoon, H. S. & Bhattacharya, D. Evidence of ancient genome reduction in red algae (Rhodophyta). J. Phycol. 51, 624–636 (2015). · DOI
- van Baren, M. J. et al. Evidence-based green algal genomics reveals marine diversity and ancestral characteristics of land plants. BMC Genomics 17, 267 (2016). · DOI
- Grosche, C. & Rensing, S. A. Three rings for the evolution of plastid shape: a tale of land plant FtsZ. Protoplasma 254, 1879–1885 (2017). · DOI
- Lewis, L. A. & McCourt, R. M. Green algae and the origin of land plants. Am. J. Bot. 91, 1535–1556 (2004). · DOI
- Becker, B. & Marin, B. Streptophyte algae and the origin of embryophytes. Ann. Bot. 103, 999–1004 (2009). · DOI
- Marin, B. Nested in the Chlorellales or independent class? Phylogeny and classification of the Pedinophyceae (Viridiplantae) revealed by molecular phylogenetic analyses of complete nuclear and plastid-encoded rRNA operons. Protist 163, 778–805 (2012). · DOI
- Cocquyt, E., Verbruggen, H., Leliaert, F. & De Clerck, O. Evolution and cytological diversification of the green seaweeds (Ulvophyceae). Mol. Biol. Evol. 27, 2052–2061 (2010). · DOI
- Delaux, P.-M. et al. Algal ancestor of land plants was preadapted for symbiosis. Proc. Natl Acad. Sci. USA 112, 13390–13395 (2015). · DOI
- Maugarny-Calès, A. et al. Apparition of the NAC transcription factors predates the emergence of land plants. Mol. Plant 9, 1345–1348 (2016). · DOI
- Delwiche, C. F. & Cooper, E. D. The evolutionary origin of a terrestrial flora. Curr. Biol. 25, R899–R910 (2015). · DOI
- Nickrent, D. L., Parkinson, C. L., Palmer, J. D. & Duff, R. J. Multigene phylogeny of land plants with special reference to bryophytes and the earliest land plants. Mol. Biol. Evol. 17, 1885–1895 (2000). · DOI
- Shaw, A. J., Szövényi, P. & Shaw, B. Bryophyte diversity and evolution: windows into the early evolution of land plants. Am. J. Bot. 98, 352–369 (2011). · DOI
- Puttick, M. N. et al. The interrelationships of land plants and the nature of the ancestral embryophyte. Curr. Biol. 28, 733–745 (2018). · DOI
- Rothfels, C. J. et al. The evolutionary history of ferns inferred from 25 low-copy nuclear genes. Am. J. Bot. 102, 1089–1107 (2015). · DOI
- Barker, M. S. & Wolf, P. G. Unfurling fern biology in the genomics age. Bioscience 60, 177–185 (2010). · DOI
- Theißen, G. & Gramzow, L. in Plant Transcription Factors: Evolutionary, Structural, and Functional Aspects (ed. Gonzalez, D. H.) 127–138 (Academic, 2016). · DOI
- Jiao, Y. et al. Ancestral polyploidy in seed plants and angiosperms. Nature 473, 97–100 (2011). · DOI
- Ruprecht, C. et al. Revisiting ancestral polyploidy in plants. Sci. Adv. 3, e1603195 (2017). · DOI
- Bowe, L. M., Coat, G. & dePamphilis, C. W. Phylogeny of seed plants based on all three genomic compartments: extant gymnosperms are monophyletic and Gnetales’ closest relatives are conifers. Proc. Natl Acad. Sci. USA 97, 4092–4097 (2000). · DOI
- Chaw, S. M., Parkinson, C. L., Cheng, Y., Vincent, T. M. & Palmer, J. D. Seed plant phylogeny inferred from all three plant genomes: monophyly of extant gymnosperms and origin of Gnetales from conifers. Proc. Natl Acad. Sci. USA 97, 4086–4091 (2000). · DOI
- Chaw, S. M., Zharkikh, A., Sung, H. M., Lau, T. C. & Li, W. H. Molecular phylogeny of extant gymnosperms and seed plant evolution: analysis of nuclear 18S rRNA sequences. Mol. Biol. Evol. 14, 56–68 (1997). · DOI
- Zhong, B., Yonezawa, T., Zhong, Y. & Hasegawa, M. The position of Gnetales among seed plants: overcoming pitfalls of chloroplast phylogenomics. Mol. Biol. Evol. 27, 2855–2863 (2010). · DOI
- Wan, T. et al. A genome for gnetophytes and early evolution of seed plants. Nat. Plants 4, 82–89 (2018). · DOI
- Jaillon, O. et al. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature 449, 463–467 (2007). · DOI
- Jiao, Y. et al. A genome triplication associated with early diversification of the core eudicots. Genome Biol. 13, R3 (2012). · DOI
- Soltis, D. E. et al. Polyploidy and angiosperm diversification. Am. J. Bot. 96, 336–348 (2009). · DOI
- Vanneste, K., Baele, G., Maere, S. & Van de Peer, Y. Analysis of 41 plant genomes supports a wave of successful genome duplications in association with the Cretaceous-Paleogene boundary. Genome Res. 24, 1334–1347 (2014). · DOI
- Moyroud, E. et al. A link between LEAFY and B-gene homologues in Welwitschia mirabilis sheds light on ancestral mechanisms prefiguring floral development. New Phytol. 216, 469–481 (2017). · DOI
- Chang, C., Bowman, J. L. & Meyerowitz, E. M. Field guide to plant model systems. Cell 167, 325–339 (2016). · DOI
- Berger, S. & Kaever, M. J. Dasycladales: an Illustrated Monograph of a Fascinating Algal Order (Thieme Verlag, 1992). · DOI
- Johnson, M. T. J. et al. Evaluating methods for isolating total RNA and predicting the success of sequencing phylogenetically diverse plant transcriptomes. PLoS ONE 7, e50226 (2012). · DOI
- Jordon-Thaden, I. E., Chanderbali, A. S., Gitzendanner, M. A. & Soltis, D. E. Modified CTAB and TRIzol protocols improve RNA extraction from chemically complex Embryophyta. Appl. Plant Sci. 3, 1400105 (2015). · DOI
- Sayyari, E. & Mirarab, S. Fast coalescent-based computation of local branch support from quartet frequencies. Mol. Biol. Evol. 33, 1654–1668 (2016). · DOI
- Bayzid, M. S., Mirarab, S., Boussau, B. & Warnow, T. Weighted statistical binning: enabling statistically consistent genome-scale phylogenetic analyses. PLoS ONE 10, e0129183 (2015). · DOI
- Gitzendanner, M. A., Soltis, P. S., Wong, G. K.-S., Ruhfel, B. R. & Soltis, D. E. Plastid phylogenomic analysis of green plants: a billion years of evolutionary history. Am. J. Bot. 105, 291–301 (2018). · DOI
- Mirarab, S., Nguyen, N. & Warnow, T. PASTA: ultra-large multiple sequence alignment. Res. Comput. Mol. Biol. 8394, 177–191 (2014). · DOI
- Nguyen, N.-P. D., Mirarab, S., Kumar, K. & Warnow, T. Ultra-large alignments using phylogeny-aware profiles. Genome Biol. 16, 124 (2015).
- Sayyari, E., Whitfield, J. B. & Mirarab, S. Fragmentary gene sequences negatively impact gene tree and species tree reconstruction. Mol. Biol. Evol. 34, 3279–3291 (2017). · DOI
- Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014). · DOI · Paper page
- Seo, T.-K., Kishino, H. & Thorne, J. L. Incorporating gene-specific variation when inferring and evaluating optimal evolutionary tree topologies from multilocus sequence data. Proc. Natl Acad. Sci. USA 102, 4436–4441 (2005). · DOI
- Mirarab, S., Bayzid, M. S. & Warnow, T. Evaluating summary methods for multilocus species tree estimation in the presence of incomplete lineage sorting. Syst. Biol. 65, 366–380 (2016). · DOI
- Sayyari, E. & Mirarab, S. Testing for polytomies in phylogenetic species trees using quartet frequencies. Genes 9, 132 (2018). · DOI
- Sayyari, E., Whitfield, J. B. & Mirarab, S. DiscoVista: interpretable visualizations of gene tree discordance. Mol. Phylogenet. Evol. 122, 110–115 (2018). · DOI
- Dobrin, B. H., Zwickl, D. J. & Sanderson, M. J. The prevalence of terraced treescapes in analyses of phylogenetic data sets. BMC Evol. Biol. 18, 46 (2018). · DOI
- Molloy, E. K. & Warnow, T. To include or not to include: the impact of gene filtering on species tree estimation methods. Syst. Biol. 67, 285–303 (2018). · DOI
- Nute, M., Chou, J., Molloy, E. K. & Warnow, T. The performance of coalescent-based species tree estimation methods under models of missing data. BMC Genomics 19, 286 (2018). · DOI
- Wiens, J. J. Missing data, incomplete taxa, and phylogenetic accuracy. Syst. Biol. 52, 528–538 (2003). · DOI · Paper page
- Wiens, J. J. & Morrill, M. C. Missing data in phylogenetic analysis: reconciling results from simulations and empirical data. Syst. Biol. 60, 719–731 (2011). · DOI
- Lam, V. K. Y. et al. Phylogenomic inference in extremis: a case study with mycoheterotroph plastomes. Am. J. Bot. 105, 480–494 (2018). · DOI
- Kozlov, A. M., Aberer, A. J. & Stamatakis, A. ExaML version 3: a tool for phylogenomic analyses on supercomputers. Bioinformatics 31, 2577–2579 (2015). · DOI
- Pearson, K. LIII. On lines and planes of closest fit to systems of points in space. Phil. Mag. 2, 559–572 (1901). · DOI
- Hartigan, J. A. & Wong, M. A. Algorithm AS 136: a K-means clustering algorithm. J. R. Stat. Soc. C 28, 100–108 (1979).
- Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2—approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010). · DOI · Paper page
- Birney, E., Clamp, M. & Durbin, R. GeneWise and Genomewise. Genome Res. 14, 988–995 (2004). · DOI · Paper page
- Goodstein, D. M. et al. Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res. 40, D1178–D1186 (2012). · DOI
- Yang, Z. PAML 4: phylogenetic analysis by maximum likelihood. Mol. Biol. Evol. 24, 1586–1591 (2007). · DOI · Paper page
- Cui, L. et al. Widespread genome duplications throughout the history of flowering plants. Genome Res. 16, 738–749 (2006). · DOI
- Benaglia, T., Chauveau, D., Hunter, D. & Young, D. mixtools: an r package for analyzing mixture models. J. Stat. Softw. 32, 1–29 (2009). · DOI
- Li, Z. et al. Multiple large-scale gene and genome duplications during the evolution of hexapods. Proc. Natl Acad. Sci. USA 115, 4713–4718 (2018). · DOI
- Rabier, C.-E., Ta, T. & Ané, C. Detecting and locating whole genome duplications on a phylogeny: a probabilistic approach. Mol. Biol. Evol. 31, 750–762 (2014). · DOI
- Yang, Y. & Smith, S. A. Optimizing de novo assembly of short-read RNA-seq data for phylogenomics. BMC Genomics 14, 328 (2013).
- Hahn, M. W. Bias in phylogenetic tree reconciliation methods: implications for vertebrate genome evolution. Genome Biol. 8, R141 (2007).
- Smith, S. A., Moore, M. J., Brown, J. W. & Yang, Y. Analysis of phylogenomic datasets reveals conflict, concordance, and gene duplications with examples from animals and plants. BMC Evol. Biol. 15, 150 (2015). · DOI
- Emms, D. M. & Kelly, S. OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy. Genome Biol. 16, 157 (2015).
- Katoh, K., Misawa, K., Kuma, K. & Miyata, T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 30, 3059–3066 (2002). · DOI · Paper page
- Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004). · DOI · Paper page
- Sjöstrand, J., Arvestad, L., Lagergren, J. & Sennblad, B. GenPhyloData: realistic simulation of gene family evolution. BMC Bioinformatics 14, 209 (2013). · DOI
- Tiley, G. P., Ané, C. & Burleigh, J. G. Evaluating and characterizing ancient whole-genome duplications in plants with gene count data. Genome Biol. Evol. 8, 1023–1037 (2016). · DOI
- Lang, D. et al. Genome-wide phylogenetic comparative analysis of plant transcriptional regulation: a timeline of loss, gain, expansion, and correlation with complexity. Genome Biol. Evol. 2, 488–503 (2010). · DOI
- Li, W., Jaroszewski, L. & Godzik, A. Clustering of highly homologous sequences to reduce the size of large protein databases. Bioinformatics 17, 282–283 (2001). · DOI
- Li, W., Jaroszewski, L. & Godzik, A. Tolerating some redundancy significantly speeds up clustering of large protein databases. Bioinformatics 18, 77–82 (2002). · DOI
- Henschel, K. et al. Two ancient classes of MIKC-type MADS-box genes are present in the moss Physcomitrella patens. Mol. Biol. Evol. 19, 801–814 (2002). · DOI
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Metadata
- Authors
- Initiative, O. T. P. T.
- Venue
- Nature
- Published
- 2019-10-23
- Volume
- 574
- Issue
- 7780
- Pages
- 679-685
- ISSN
- 0028-0836
- 1476-4687
- PMC
- PMC6872490
- Cited by
- 1,734
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