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EDITORIAL article

Front. Plant Sci., 23 February 2023
Sec. Plant Systematics and Evolution
This article is part of the Research Topic Biology, Systematics, and Evolution of Ferns and Lycophytes in the Omics Era View all 7 articles

Editorial: Biology, systematics, and evolution of ferns and lycophytes in the omics era

  • 1Programa de Pós-Graduação em Biologia Vegetal, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
  • 2Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, Sorbonne Université, EPHE, UA, CNRS, Paris, France
  • 3Institute of Molecular & Cellular Biology, National Tsing Hua University, Hsinchu, Taiwan
  • 4Universidade Federal de Pernambuco, Departamento de Botânica, Centro de Biociências, Recife, Brazil

Ferns and lycophytes are distinct evolutionary lineages of vascular plants, with ferns being the sister group to seed plants. The last common ancestor of seed plants, ferns, and lycophytes is the ancestral vascular plant. Historically, both lineages have been studied together and treated as the paraphyletic group ‘pteridophytes’, mainly because both lineages are spore-bearing, and share many other biological features, such as the overall life cycle (PPG I, 2016). The publication of the first complete genome of a fern took longer than other groups of embryophytes (Li et al., 2018). The first two reported genomes, from the heterosporous and aquatic Azolla and Salvinia, are atypical among ferns as they are less than tenfold smaller than the average fern genome (Li et al., 2018). The first homosporous fern genomes were only recently published (Fang et al., 2022; Huang et al., 2022; Marchant et al., 2022; Rahmatpour et al., 2023). Although ferns and lycophytes are less speciose than flowering plants in terms of extant diversity, their biology is crucial for understanding land plant evolution, diversification, and origins. Inferring evolutionary processes and patterns can be facilitated by access to all kinds of omics data (e.g. genomics, metagenomics, transcriptomics, proteomics). Despite the availability of high-throughput sequencing data, publications on ferns and lycophytes at the omics scale are still few relative to their importance for understanding the diversity and biology of vascular plants. Six articles in this Research Topic examined evolutionary questions such as whole genome duplication, gene retention, structural variation in plastomes, conflicts in plastid phylogenomics, species delimitation, hybridization, and introgression, as well as a new pipeline for continuously and updated Fern Tree of Life (FTOL) generation.

For about three decades, insights from molecular data have contributed to revolutionizing our understanding of fern and lycophyte systematics and evolution (e.g. Raubeson and Jansen, 1992; Pryer et al., 1995; Pryer et al., 2001; Schneider et al., 2004; Schuettpelz and Pryer, 2007; Lehtonen, 2011; Testo and Sundue, 2016). Nitta et al. developed an outstanding automated, reproducible, and open pipeline to generate a continuously updated fern tree of life from DNA data available in GenBank named by the authors as FTOL (Fern Tree of Life). They combined published data from whole plastomes and commonly sequenced plastid regions to generate a species-level phylogeny with 5,582 species. Nitta et al. also used the most complete list ever assembled of 51 fern fossil constraints and estimated ages older than previous studies for families and broader clades. The authors provide the list of fossils, a taxonomic database, and R packages via a web portal (https://fernphy.github.io). All in all, FTOL is destined to become a landmark tool for all research on this key group of plants over a wide range of taxonomic scales.

So far, most of the studies are based exclusively on plastid regions and are used to reconstruct phylogenetic relationships, patterns, and processes of biogeographic history above and at the species level. Inferring phylogenies from plastid sequences remains a powerful tool, such as for barcoding (Hollingsworth et al., 2016). High copy numbers of plastid genomes exist in cells, their structure is highly conserved, and they are thus easily amplified. It has been hypothesized to evolve as a single locus (Léveillé-Bourret et al., 2017), but for some groups, congruence tests have shown that this is not always the case (e.g. Gonçalves et al., 2019). Focusing on fern plastomes, Du et al. investigated the structural evolution of chloroplasts in deep nodes of the fern tree of life, with a sampling including all recognized fern families and orders (PPG I, 2016) and 127 plastomes. The authors were able to map several structural synapomorphies, including inversions, changes in inverted repeats (IR) boundaries, and gene losses, and have shown that untypical structures such as loss of IR, or the presence of DR (direct repeat) found in other lineages of land plants, are not present in the ferns chloroplast. The authors used their dataset to reconstruct a phylogenetic inference and to identify an intermediate plastomic structure, supporting evidence that the relationship among some orders, such as the early-diverging leptosporangiate lineages, Gleicheniales, Hymenophyllales, and Matoniales (Dipteridaceae + Matoniaceae) is still controversial.

Focusing on a recalcitrant node in the fern tree of life, Wang et al. tested for conflicts and systematic errors in plastome-based phylogenetic inferences. The authors used 30 different datasets built on different strategies using coding and noncoding regions of plastomes from 42 species, independently and combined, using a maximum likelihood and a coalescent tree-based method, all compared to an aminoacid-based tree, to solve the phylogenetic positioning of and relationships within Dennstaedtiaceae. They found that addressing systematic errors helps to reduce conflict, but incongruences were inherently present and should be taken into account when using plastomes for phylogenetic inferences.

From a different perspective, Pelosi et al. used available transcriptomic data covering a broad sampling of families to investigate the backbone of fern phylogeny. The overall recovered topologies based on their nuclear dataset are consistent with most published phylogenetic inferences based on plastid and nuclear data (e.g. Qi et al., 2018; Shen et al., 2018); however, there are some recalcitrant nodes, including the sister group to leptosporangiates and eupolypods, the monophyly of Gleicheniales + Hymenophyllales (disagreeing with the plastome results by Du et al.), and the positioning of Aspleniaceae. The authors also focused on whole genome duplication (WGD) events across the fern phylogeny, finding deep and shallow WGD events along the fern tree, with low gene retention as found in other groups of plants for ancient events of duplication.

Moving from the backbone to the specific clades of the fern tree of life, Ke et al. reconstructed the phylogenetic relationships of the Schizaeaceae family, using the broadest sampling to date, based on three plastid regions and plastomes of selected taxa. The authors traced the evolutionary history of the gene losses in the plastid genome associated with the evolution of gametophytic mycoheterotrophy, presenting a novel phylogenetic classification for the family with the recognition of a third genus — Microschizaea — segregated from Schizaea sensu PPG I (2016). A newly described species of Schizaea is presented.

Focusing on species-level evolution, Petlewski et al. present a phylogenetic analysis of lycophyte Dendrolycopodium (Lycopodiaceae), focusing on species delimitation and hybridization and using restriction-site associated DNA sequencing (RADseq) and a draft genome assembly. The authors found that Dendrolycopodium can be divided into four clades that largely correspond to the described taxa, although the status of the various Asian species remains uncertain. Petlewski et al. confirm evidence of interspecific hybridization and the occurrence of introgression in the group.

Omics data reveal new insights into ferns and lycophytes, as well as how these tools and data can help us to better understand the evolution of these lineages. In the near future, with the ease of access to tools and the low cost of sequencing, we expect to see more and more studies in the Omics and integrative Multi-Omics that focus on ferns and lycophytes. Species evolution, reticulation (e.g. hybridization), polyploidy, population genomics, biogeography, cytogenomics, and evolutionary developmental biology are some of the areas that may benefit from such endeavors.

Author contributions

AS, GR, L-YK, and TA drafted the manuscript. All authors contributed to the article and approved the submitted version.

Acknowledgments

We would like to thank the reviewers, authors, editorial team, and the Specialty Chief Editor for their collective effort in making this research collection possible.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Fang, Y., Qin, X., Liao, Q., Du, R., Luo, X., Zhou, Q., et al. (2022). The genome of homosporous maidenhair fern sheds light on the euphyllophyte evolution and defences. Nat. Plants 8, 1024–1037. doi: 10.1038/s41477-022-01222-x

CrossRef Full Text | Google Scholar

Gonçalves, D. J. P., Simpson, B. B., Ortiz, E. M., Shimizu, G. H., Jansen, R. K. (2019). Incongruence between gene trees and species trees and phylogenetic signal variation in plastid genes. Mol. Phylogenet. Evol. 138, 219–232. doi: 10.1016/j.ympev.2019.05.022

CrossRef Full Text | Google Scholar

Hollingsworth, P. M., Li, D.-Z., van der Bank, M., Twyford, A. D. (2016). Telling plant species apart with DNA: From barcodes to genomes. Philos. Trans. R. Soc. B. 271, 20150338. doi: 110.1098/rstb.2015.0338

CrossRef Full Text | Google Scholar

Huang, X., Wang, W., Gong, T., Wickell, D., Kuo, L.-Y., Zhang, X., et al. (2022). The flying spider-monkey tree fern genome provides insights into fern evolution and arborescence. Nat. Plants 8, 500–512. doi: 10.1038/s41477-022-01146-6

CrossRef Full Text | Google Scholar

Léveillé-Bourret, É., Starr, J. R., Ford, B. A., Lemmon, E. M., Lemmon, A. R. (2017). Resolving rapid radiations within angiosperm families using anchored phylogenomics. Syst. Biol. 67, 94–112. doi: 10.1093/sysbio/syx050

CrossRef Full Text | Google Scholar

Lehtonen, S. (2011). Towards resolving the complete fern tree of life. PloS One 6, e24851. doi: 10.1371/journal.pone.0024851

CrossRef Full Text | Google Scholar

Li, F.-W., Brouwer, P., Carretero-Paulet, L., Cheng, S., de Vries, J., Delaux, P.-M., et al. (2018). Fern genomes elucidate land plant evolution and cyanobacterial symbioses. Nat. Plants 4, 460–472. doi: 10.1038/s41477-018-0188-8

CrossRef Full Text | Google Scholar

Marchant, D. B., Chen, G., Cai, S., Chen, F., Schafran, P., Jenkins, J., et al. (2022). Dynamic genome evolution in a model fern. Nat. Plants 8, 1038–1051. doi: 10.1038/s41477-022-01226-7

CrossRef Full Text | Google Scholar

PPG I (2016). A community-derived classification for extant lycophytes and ferns. J. Systemat. Evol. 54, 563–603. doi: 10.1111/jse.12229

CrossRef Full Text | Google Scholar

Pryer, K. M., Schneider, H., Smith, A. R., Cranfill, R., Wolf, P. G., Hunt, J. S., et al. (2001). Horsetails and ferns are a monophyletic group and the closest living relatives to seed plants. Nature 409, 618–622. doi: 10.1038/35054555

CrossRef Full Text | Google Scholar

Pryer, K. M., Smith, A. R., Skog, J. E. (1995). Phylogenetic relationships of extant ferns based on evidence from morphology and rbcL sequences. Am. Fern J. 85, 205–282. doi: 10.2307/1547810

CrossRef Full Text | Google Scholar

Qi, X., Kuo, L.-Y., Guo, C., Li, H., Li, Z., Qi, J., et al. (2018). A well-resolved fern nuclear phylogeny reveals the evolution history of numerous transcription factor families. Molec. Phylogen. Evol. 127, 961–977. doi: 10.1016/j.ympev.2018.06.043

CrossRef Full Text | Google Scholar

Rahmatpour, N., Kuo, L.-Y., Kang, J., Herman, E., Lei, L., Li, M., et al. (2023). Analyses of Marsilea vestita genome and transcriptomes do not support widespread intron retention during spermatogenesis. New Phytol. 237, 1490–1494. doi: 10.1111/nph.18652

CrossRef Full Text | Google Scholar

Raubeson, L. A., Jansen, R. K. (1992). Chloroplast DNA evidence on the ancient evolutionary split in vascular land plants. Science 255, 1697–1699. doi: 10.1126/science.255.5052.1697

CrossRef Full Text | Google Scholar

Schneider, H., Schuettpelz, E., Pryer, K. M., Cranfill, R., Magallón, S., Lupia, R. (2004). Ferns diversified in the shadow of angiosperms. Nature 428, 553–557. doi: 10.1038/nature02361

CrossRef Full Text | Google Scholar

Schuettpelz, E., Pryer, K. M. (2007). Fern phylogeny inferred from 400 leptosporangiate species and three plastid genes. Taxon 56, 1037. doi: 10.2307/25065903

CrossRef Full Text | Google Scholar

Shen, H., Jin, D., Shu, J.-P., Zhou, X.-L., Lei, M., Wei, R., et al. (2018). Large Scale phylogenomic analysis resolves a backbone phylogeny in ferns. GigaScience. 7, 1–11. doi: 10.1093/gigascience/gix116

CrossRef Full Text | Google Scholar

Testo, W., Sundue, M. (2016). A 4000-species dataset provides new insight into the evolution of ferns. Mol. Phylogenet. Evol. 105, 200–211. doi: 10.1016/j.ympev.2016.09.003

CrossRef Full Text | Google Scholar

Keywords: genome evolution, hybridization, phylogenetics, plastome, transcriptome

Citation: Salino A, Rouhan G, Kuo L-Y and Almeida TE (2023) Editorial: Biology, systematics, and evolution of ferns and lycophytes in the omics era. Front. Plant Sci. 14:1146829. doi: 10.3389/fpls.2023.1146829

Received: 17 January 2023; Accepted: 14 February 2023;
Published: 23 February 2023.

Edited and Reviewed by:

Jim Leebens-Mack, University of Georgia, United States

Copyright © 2023 Salino, Rouhan, Kuo and Almeida. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Alexandre Salino, salinobh@gmail.com; Thaís Elias Almeida, thais.elias@ufpe.br

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.