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New groups of highly divergent proteins in families as old as cellular life with important biological functions in the ocean
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Abstract
Background: Metagenomics has considerably broadened our knowledge of microbial diversity, unravelling fascinating adaptations and characterising multiple novel major taxonomic groups, e.g. CPR bacteria, DPANN and Asgard archaea, and novel viruses. Such findings profoundly reshaped the structure of the known Tree of Life and emphasised the central role of investigating uncultured organisms. However, despite significant progresses, a large portion of proteins predicted from metagenomes remain today unannotated, both taxonomically and functionally, across many biomes and in particular in oceanic waters. Results: Here, we used an iterative, network-based approach for remote homology detection, to probe a dataset of 40 million ORFs predicted in marine environments. We assessed the environmental diversity of 53 core gene families broadly distributed across the Tree of Life, with essential functions including translational, replication and trafficking processes. For nearly half of them, we identified clusters of remote environmental homologues that showed divergence from the known genetic diversity comparable to the divergence between Archaea and Bacteria, with representatives distributed across all the oceans. In particular, we report the detection of environmental clades with new structural variants of essential SMC (Structural Maintenance of Chromosomes) genes, divergent polymerase subunits forming deep-branching clades in the polymerase tree, and variant DNA recombinases in Bacteria as well as viruses. Conclusions: These results indicate that significant environmental diversity may yet be unravelled even in strongly conserved gene families. Protein sequence similarity network approaches, in particular, appear well-suited to highlight potential sources of biological novelty and make better sense of microbial dark matter across taxonomical scales.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Complex archaea that bridge the gap between prokaryotes and eukaryotes
Spang, A., Saw, J. H., Jørgensen, S. L., Zaremba-Niedzwiedzka, K., Martijn, J., Lind, A. E., van Eijk, R., Schleper, C., Guy, L., & Ettema, T. J. G. (2015) · Nature · doi:10.1038/nature14447 · Cited by 1,324
Asgard archaea illuminate the origin of eukaryotic cellular complexity
Zaremba-Niedzwiedzka, K., Caceres, E. F., Saw, J. H., Bäckström, D., Juzokaite, L., Vancaester, E., Seitz, K. W., Anantharaman, K., Starnawski, P., Kjeldsen, K. U., et al. (2017) · Nature · doi:10.1038/nature21031 · Cited by 1,226
Unusual biology across a group comprising more than 15% of domain Bacteria
Brown, C. T., Hug, L. A., Thomas, B. C., Sharon, I., Castelle, C. J., Singh, A., Wilkins, M. J., Wrighton, K. C., Williams, K. H., & Banfield, J. F. (2015) · Nature · doi:10.1038/nature14486 · Cited by 1,216 · cited 1×
“…of microbial adaptations and interactions in numerous environments [9–12] to the characterisation of multiple novel major taxonomic groups [13–17] – most notably CPR bacteria [13, 18, 19], DPANN archaea [18, 20, 21] and Asgard archaea [22–24], profoundly reshaping the structure of the Tree of Life.”
Mariani, V., Biasini, M., Barbato, A., & Schwede, T. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt473 · Cited by 1,138
Flagged first, then by citations
Research works printed but not linked: 110
- Staley JT, Konopka A. Measurement of in situ activities of nonphotosynthetic microorganisms in aquatic and terrestrial habitats. Annu Rev Microbiol. 1985;39:321–46. · DOI
- Amann RI, Ludwig W, Schleifer KH. Phylogenetic identification and in situ detection of individual microbial cells without cultivation. Microbiol Rev. 1995;59:143–69. · DOI
- Whitman WB, Coleman DC, Wiebe WJ. Prokaryotes: the unseen majority. Proc Natl Acad Sci. 1998;95:6578–83. · DOI · Paper page
- Marcy Y, Ouverney C, Bik EM, Lösekann T, Ivanova N, Martin HG, et al. Dissecting biological dark matter with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth. Proc Natl Acad Sci U S A. 2007;104:11889–94. · DOI
- Alain K, Querellou J. Cultivating the uncultured: limits, advances and future challenges. Extremophiles. 2009;13:583–94. · DOI
- Koch R. Untersuchungen Uber Bakterien V. Die aetiologie der milzbrand-krankheit, begrunder auf die entwicklungegeschichte Bacillus anthracis. Beitr Zur Biol Pflanz. 1877;2:277–310.
- Handelsman J, Rondon MR, Brady SF, Clardy J, Goodman RM. Molecular biological access to the chemistry of unknown soil microbes: a new frontier for natural products. Chem Biol. 1998;5:R245–9. · DOI
- Castelle CJ, Banfield JF. Major new microbial groups expand diversity and alter our understanding of the tree of life. Cell. 2018;172:1181–97. · DOI · Paper page
- Delmont TO, Robe P, Cecillon S, Clark IM, Constancias F, Simonet P, et al. Accessing the soil metagenome for studies of microbial diversity. Appl Environ Microbiol. 2011;77:1315–24. · DOI
- Ventosa A, de la Haba RR, Sánchez-Porro C, Papke RT. Microbial diversity of hypersaline environments: a metagenomic approach. Curr Opin Microbiol. 2015;25:80–7. · DOI
- Behzad H, Gojobori T, Mineta K. Challenges and opportunities of airborne metagenomics. Genome Biol Evol. 2015;7:1216–26. · DOI
- Sunagawa S, Acinas SG, Bork P, Bowler C, Eveillard D, Gorsky G, et al. Tara oceans: towards global ocean ecosystems biology. Nat Rev Microbiol. 2020;18:428–45. · DOI
- Hugenholtz P, Pitulle C, Hershberger KL, Pace NR. Novel division level bacterial diversity in a Yellowstone hot spring. J Bacteriol. 1998;180:366–76. · DOI
- Chouari R, Le Paslier D, Dauga C, Daegelen P, Weissenbach J, Sghir A. Novel major bacterial candidate division within a municipal anaerobic sludge digester. Appl Environ Microbiol. 2005;71:2145–53. · DOI
- Pelletier E, Kreimeyer A, Bocs S, Rouy Z, Gyapay G, Chouari R, et al. Candidatus cloacamonas acidaminovorans: genome sequence reconstruction provides a first glimpse of a new bacterial division. J Bacteriol. 2008;190:2572–9. · DOI
- Hug LA, Baker BJ, Anantharaman K, Brown CT, Probst AJ, Castelle CJ, et al. A new view of the tree of life. Nat Microbiol. 2016;1:1–6. · DOI · Paper page
- Parks DH, Rinke C, Chuvochina M, Chaumeil P-A, Woodcroft BJ, Evans PN, et al. Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life. Nat Microbiol. 2017. https://doi.org/10.1038/s41564-017-0012-7 · DOI · Paper page
- Rinke C, Schwientek P, Sczyrba A, Ivanova NN, Anderson IJ, Cheng J-F, et al. Insights into the phylogeny and coding potential of microbial dark matter. Nature. 2013;499:431–7. · DOI · Paper page
- Huber H, Hohn MJ, Rachel R, Fuchs T, Wimmer VC, Stetter KO. A new phylum of archaea represented by a nanosized hyperthermophilic symbiont. Nature. 2002;417:63–7. · DOI
- Baker BJ, Comolli LR, Dick GJ, Hauser LJ, Hyatt D, Dill BD, et al. Enigmatic, ultrasmall, uncultivated archaea. Proc Natl Acad Sci. 2010;107:8806–11. · DOI
- Imachi H, Nobu MK, Nakahara N, Morono Y, Ogawara M, Takaki Y, et al. Isolation of an archaeon at the prokaryote–eukaryote interface. Nature. 2020;577:519–25. · DOI · Paper page
- Paez-Espino D, Eloe-Fadrosh EA, Pavlopoulos GA, Thomas AD, Huntemann M, Mikhailova N, et al. Uncovering Earth’s virome. Nature. 2016;536:425–30. · DOI
- Zhou Y, Zhou L, Yan S, Chen L, Krupovic M, Wang Y. Diverse viruses of marine archaea discovered using metagenomics. Environ Microbiol. 2023;25:367–82. · DOI
- Gaïa M, Meng L, Pelletier E, Forterre P, Vanni C, Fernandez-Guerra A, et al. Mirusviruses link herpesviruses to giant viruses. Nature. 2023;616:783–9. · DOI · Paper page
- Al-Shayeb B, Schoelmerich MC, West-Roberts J, Valentin-Alvarado LE, Sachdeva R, Mullen S, et al. Borgs are giant genetic elements with potential to expand metabolic capacity. Nature. 2022;610:731–6. · DOI
- Lloyd KG, Steen AD, Ladau J, Yin J, Crosby L. Phylogenetically novel uncultured microbial cells dominate Earth microbiomes. mSystems. 2018;3. · DOI
- Nayfach S, Roux S, Seshadri R, Udwary D, Varghese N, Schulz F, et al. A genomic catalog of Earth’s microbiomes. Nat Biotechnol. 2020;39:499–509. · DOI
- Bernard G, Pathmanathan JS, Lannes R, Lopez P, Bapteste E. Microbial dark matter investigations: how microbial studies transform biological knowledge and empirically sketch a logic of scientific discovery. Genome Biol Evol. 2018;10:707–15. · DOI
- Liu Z, Ma A, Mathé E, Merling M, Ma Q, Liu B. Network analyses in microbiome based on high-throughput multi-omics data. Brief Bioinform. 2021;22:1639–55. · DOI
- Forster D, Bittner L, Karkar S, Dunthorn M, Romac S, Audic S, et al. Testing ecological theories with sequence similarity networks: marine ciliates exhibit similar geographic dispersal patterns as multicellular organisms. BMC Biol. 2015;13:16. · DOI
- Arroyo AS, Iannes R, Bapteste E, Ruiz-Trillo I. Gene similarity networks unveil a potential novel unicellular group closely related to animals from the Tara oceans expedition. Genome Biol Evol. 2020;12:1664–78. · DOI
- Lynch MDJ, Bartram AK, Neufeld JD. Targeted recovery of novel phylogenetic diversity from next-generation sequence data. ISME J. 2012;6:2067–77. · DOI
- Lopez P, Halary S, Bapteste E. Highly divergent ancient gene families in metagenomic samples are compatible with additional divisions of life. Biol Direct. 2015;10:64. · DOI
- Vanni C, Schechter MS, Acinas SG, Barberán A, Buttigieg PL, Casamayor EO et al. Unifying the known and unknown microbial coding sequence space. eLife. 2022;11. · DOI · Paper page
- Durairaj J, Waterhouse AM, Mets T, Brodiazhenko T, Abdullah M, Studer G, et al. Uncovering new families and folds in the natural protein universe. Nature. 2023;622:646–53. · DOI
- Rodríguez del Río Á, Giner-Lamia J, Cantalapiedra CP, Botas J, Deng Z, Hernández-Plaza A, et al. Functional and evolutionary significance of unknown genes from uncultivated taxa. Nature. 2024;626:377–84. · DOI
- Pavlopoulos GA, Baltoumas FA, Liu S, Selvitopi O, Camargo AP, Nayfach S, et al. Unraveling the functional dark matter through global metagenomics. Nature. 2023;622:594–602. · DOI
- Sunagawa S, Coelho LP, Chaffron S, Kultima JR, Labadie K, Salazar G, et al. Structure and function of the global ocean microbiome. Science. 2015;348:1261359. · DOI
- Parks DH, Chuvochina M, Rinke C, Mussig AJ, Chaumeil P-A, Hugenholtz P. GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Res. 2022;50:D785–94. · DOI · Paper page
- Pachiadaki MG, Brown JM, Brown J, Bezuidt O, Berube PM, Biller SJ, et al. Charting the complexity of the marine microbiome through single-cell genomics. Cell. 2019;179:1623–e163511. · DOI
- Moniruzzaman M, Martinez-Gutierrez CA, Weinheimer AR, Aylward FO. Dynamic genome evolution and complex virocell metabolism of globally-distributed giant viruses. Nat Commun. 2020;11:1710. · DOI
- Weinheimer AR, Aylward FO. A distinct lineage of caudovirales that encodes a deeply branching multi-subunit RNA polymerase. Nat Commun. 2020;11:4506. · DOI
- Gregory AC, Zayed AA, Conceição-Neto N, Temperton B, Bolduc B, Alberti A, et al. Marine DNA viral macro- and microdiversity from pole to pole. Cell. 2019;177:1109–e112314. · DOI
- Alvarez-Ponce D, Lopez P, Bapteste E, McInerney JO. Gene similarity networks provide tools for understanding eukaryote origins and evolution. Proc Natl Acad Sci U S A. 2013;110:E1594–603. · DOI
- Watson AK, Lannes R, Pathmanathan JS, Méheust R, Karkar S, Colson P, et al. The methodology behind network thinking: graphs to analyze microbial complexity and evolution. In: Anisimova M, editor. Evolutionary genomics: statistical and computational methods. New York, NY: Springer; 2019. pp. 271–308. · DOI
- Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E. Fast unfolding of communities in large networks. J Stat Mech Theory Exp. 2008;2008:P10008. · DOI · Paper page
- Hedglin M, Kumar R, Benkovic SJ. Replication clamps and clamp loaders. Cold Spring Harb Perspect Biol. 2013;5:a010165. · DOI
- O’Donnell M, Onrust R, Dean FB, chen M, Hurwitz J. Homology in accessory proteins of replicative polymerases—E.coli to humans. Nucleic Acids Res. 1993;21:1–3. · DOI
- Chia N, Cann I, Olsen GJ. Evolution of DNA replication protein complexes in eukaryotes and archaea. PLoS ONE. 2010;5:e10866. · DOI
- Yao NY, O’Donnell ME. Evolution of replication machines. Crit Rev Biochem Mol Biol. 2016;51:135–49. · DOI
- Li H, O’Donnell M, Kelch B. Unexpected new insights into DNA clamp loaders. BioEssays. 2022;44:2200154. · DOI
- Iyer LM, Leipe DD, Koonin EV, Aravind L. Evolutionary history and higher order classification of AAA + ATPases. J Struct Biol. 2004;146:11–31. · DOI
- Barre F-X, Søballe B, Michel B, Aroyo M, Robertson M, Sherratt D. Circles: the replication-recombination-chromosome segregation connection. Proc Natl Acad Sci. 2001;98:8189–95. · DOI
- Romero H, Rösch TC, Hernández-Tamayo R, Lucena D, Ayora S, Alonso JC, et al. Single molecule tracking reveals functions for rara at replication forks but also independently from replication during DNA repair in Bacillus subtilis. Sci Rep. 2019;9:1997. · DOI
- Frickey T, Lupas AN. Phylogenetic analysis of AAA proteins. J Struct Biol. 2004;146:2–10. · DOI
- Lapointe F-J, Lopez P, Boucher Y, Koenig J, Bapteste E. Clanistics: a multi-level perspective for harvesting unrooted gene trees. Trends Microbiol. 2010;18:341–7. · DOI
- Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. ColabFold: making protein folding accessible to all. Nat Methods. 2022;19:679–82. · DOI · Paper page
- Cobbe N, Heck MMS. The evolution of SMC proteins: phylogenetic analysis and structural implications. Mol Biol Evol. 2004;21:332–47. · DOI
- Rybenkov VV, Herrera V, Petrushenko ZM, Zhao H. MukBEF, a chromosomal organizer. J Mol Microbiol Biotechnol. 2015;24:371–83.
- Petrushenko ZM, She W, Rybenkov VV. A new family of bacterial condensins. Mol Microbiol. 2011;81:881–96. · DOI
- Kamada K, Barillà D. Combing chromosomal DNA mediated by the SMC complex: structure and mechanisms. BioEssays. 2018;40:1700166. · DOI
- Badel C, Bell SD. Chromosome architecture in an archaeal species naturally lacking structural maintenance of chromosomes proteins. Nat Microbiol. 2024;9:263–73. · DOI
- Soppa J. Prokaryotic structural maintenance of chromosomes (SMC) proteins: distribution, phylogeny, and comparison with MukBs and additional prokaryotic and eukaryotic coiled-coil proteins. Gene. 2001;278:253–64. · DOI
- Waldman VM, Stanage TH, Mims A, Norden IS, Oakley MG. Structural mapping of the coiled-coil domain of a bacterial condensin and comparative analyses across all domains of life suggest conserved features of SMC proteins. Proteins Struct Funct Bioinforma. 2015;83:1027–45. · DOI
- Hirano T. The ABCs of SMC proteins: two-armed ATPases for chromosome condensation, cohesion, and repair. Genes Dev. 2002;16:399–414. · DOI
- Gruber S, Arumugam P, Katou Y, Kuglitsch D, Helmhart W, Shirahige K, et al. Evidence that loading of cohesin onto chromosomes involves opening of its SMC hinge. Cell. 2006;127:523–37. · DOI
- Connelly JC, Leach DRF. Tethering on the brink: the evolutionarily conserved Mre11–Rad50 complex. Trends Biochem Sci. 2002;27:410–8. · DOI
- Kim E, Barth R, Dekker C. Looping the genome with SMC complexes. Annu Rev Biochem. 2023;92 Volume 92:2023:15–41. · DOI · Paper page
- Lin Z, Kong H, Nei M, Ma H. Origins and evolution of the recA/RAD51 gene family: evidence for ancient gene duplication and endosymbiotic gene transfer. Proc Natl Acad Sci. 2006;103:10328–33. · DOI
- Thompson LH, Schild D. Homologous recombinational repair of DNA ensures mammalian chromosome stability. Mutat Res Mol Mech Mutagen. 2001;477:131–53. · DOI
- Cox MM. The RecA protein as a recombinational repair system. Mol Microbiol. 1991;5:1295–9. · DOI
- Seitz EM, Brockman JP, Sandler SJ, Clark AJ, Kowalczykowski SC. RadA protein is an archaeal RecA protein homolog that catalyzes DNA strand exchange. Genes Dev. 1998;12:1248–53. · DOI
- Chintapalli SV, Bhardwaj G, Babu J, Hadjiyianni L, Hong Y, Todd GK, et al. Reevaluation of the evolutionary events within recA/RAD51 phylogeny. BMC Genomics. 2013;14:240. · DOI
- Banerjee A, Neiner T, Tripp P, Albers S-V. Insights into subunit interactions in the sulfolobus acidocaldarius archaellum cytoplasmic complex. FEBS J. 2013;280:6141–9. · DOI
- Chaudhury P, van der Does C, Albers S-V. Characterization of the ATPase FlaI of the motor complex of the pyrococcus furiosus archaellum and its interactions between the ATP-binding protein FlaH. PeerJ. 2018;6:e4984. · DOI
- Castelle CJ, Brown CT, Anantharaman K, Probst AJ, Huang RH, Banfield JF. Biosynthetic capacity, metabolic variety and unusual biology in the CPR and DPANN radiations. Nat Rev Microbiol. 2018;16:629–45. · DOI · Paper page
- Subramanian S, Zhang W, Nimkar S, Kamel M, O’Donnell M, Kuriyan J. Adaptive capacity of a dna polymerase clamp-loader ATPase complex. Mol Biol Evol. 2024;41:msae013. · DOI
- del Val E, Nasser W, Abaibou H, Reverchon S. Design and comparative characterization of RecA variants. Sci Rep. 2021;11:21106. · DOI
- Bobay L-M, Touchon M, Rocha EPC. Manipulating or superseding host recombination functions: a dilemma that shapes phage evolvability. PLOS Genet. 2013;9:e1003825. · DOI
- Paepe MD, Hutinet G, Son O, Amarir-Bouhram J, Schbath S, Petit M-A. Temperate phages acquire DNA from defective prophages by relaxed homologous recombination: the role of Rad52-Like recombinases. PLOS Genet. 2014;10:e1004181. · DOI
- Brito IL. Examining horizontal gene transfer in microbial communities. Nat Rev Microbiol. 2021;19:442–53. · DOI
- Tokuda M, Shintani M. Microbial evolution through horizontal gene transfer by mobile genetic elements. Microb Biotechnol. 2024;17:e14408. · DOI
- Enav H, Paz I, Ley RE. Strain tracking in complex microbiomes using synteny analysis reveals per-species modes of evolution. Nat Biotechnol. 2024:1–11. · DOI
- Woyke T, Doud DFR, Schulz F. The trajectory of microbial single-cell sequencing. Nat Methods. 2017;14:1045–54. · DOI
- Mauger S, Monard C, Thion C, Vandenkoornhuyse P. Contribution of single-cell omics to microbial ecology. Trends Ecol Evol. 2022;37:67–78. · DOI
- Sayers EW, Bolton EE, Brister JR, Canese K, Chan J, Comeau DC, et al. Database resources of the national center for biotechnology information. Nucleic Acids Res. 2022;50:D20–6. · DOI · Paper page
- Buchfink B, Reuter K, Drost H-G. Sensitive protein alignments at tree-of-life scale using DIAMOND. Nat Methods. 2021;18:366–8. · DOI · Paper page
- Newman MEJ. Mixing patterns in networks. Phys Rev E. 2003;67:026126. · DOI
- Hagberg AA, Schult DA, Swart PJ. Exploring Network Structure, Dynamics, and Function using NetworkX. In: Varoquaux G, Vaught T, Millman J, editors. Proceedings of the 7th Python in Science Conference. Pasadena, CA USA; 2008. pp. 11–5. · DOI · Paper page
- Parks DH, Chuvochina M, Waite DW, Rinke C, Skarshewski A, Chaumeil P-A et al. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat Biotechnol 2018 3610. 2018;36:996–1004. · DOI · Paper page
- Parks DH, Chuvochina M, Chaumeil P-A, Rinke C, Mussig AJ, Hugenholtz P. A complete domain-to-species taxonomy for bacteria and archaea. Nat Biotechnol. 2020;38:1079–86. · DOI
- Rinke C, Chuvochina M, Mussig AJ, Chaumeil P-A, Davín AA, Waite DW, et al. A standardized archaeal taxonomy for the genome taxonomy database. Nat Microbiol. 2021;6:946–59. · DOI
- Huerta-Cepas J, Szklarczyk D, Heller D, Hernández-Plaza A, Forslund SK, Cook H, et al. EggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses. Nucleic Acids Res. 2019;47:D309–14. · DOI
- Spielman SJ, Wilke CO. Pyvolve: a flexible python module for simulating sequences along phylogenies. PLoS ONE. 2015;10:e0139047. · DOI
- Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–504. · DOI · Paper page
- Li W, Godzik A. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinforma Oxf Engl. 2006;22:1658–9. · DOI
- Zielezinski A, Vinga S, Almeida J, Karlowski WM. Alignment-free sequence comparison: benefits, applications, and tools. Genome Biol. 2017;18:1–17. · DOI
- Ren J, Bai X, Lu YY, Tang K, Wang Y, Reinert G, et al. Alignment-Free sequence analysis and applications. Annu Rev Biomed Data Sci. 2018;1:93–114. · DOI
- Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30:772–80. · DOI · Paper page
- Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. TrimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009;25:1972–3. · DOI
- Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol. 2020;37:1530–4. · DOI · Paper page
- Hoang DT, Chernomor O, von Haeseler A, Minh BQ, Vinh LS. UFBoot2: improving the ultrafast bootstrap approximation. Mol Biol Evol. 2018;35:518–22. · DOI · Paper page
- Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017;14:587–9. · DOI · Paper page
- Chan CX, Bernard G, Poirion O, Hogan JM, Ragan MA. Inferring phylogenies of evolving sequences without multiple sequence alignment. Sci Rep. 2014;4:6504. · DOI
- Simonsen M, Mailund T, Pedersen CNS. Rapid Neighbour-Joining. In: Crandall KA, Lagergren J, editors. Algorithms in bioinformatics. Berlin, Heidelberg: Springer; 2008. pp. 113–22. · DOI
- Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49:W293–6. · DOI
- Salazar G, Paoli L, Alberti A, Huerta-Cepas J, Ruscheweyh H-J, Cuenca M, et al. Gene expression changes and community turnover differentially shape the global ocean metatranscriptome. Cell. 2019;179:1068–e108321. · DOI
- Varadi M, Anyango S, Deshpande M, Nair S, Natassia C, Yordanova G, et al. AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 2022;50:D439–44. · DOI · Paper page
- The UniProt Consortium. UniProt: the universal protein knowledgebase in 2023. Nucleic Acids Res. 2023;51:D523–31. · DOI · Paper page
- van Kempen M, Kim SS, Tumescheit C, Mirdita M, Lee J, Gilchrist CLM et al. Fast and accurate protein structure search with foldseek. Nat Biotechnol. 2023:1–4. · DOI · Paper page
Metadata
- Authors
- Sussfeld, D., Lannes, R., Corel, E., Bernard, G., Martin, P., Bapteste, E., Pelletier, E., & Lopez, P.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Sussfeld, Duncan
- ORCID
- Venue
- Environmental Microbiome
- Published
- 2025-06-11
- Volume
- 20
- Issue
- 1
- Pages
- 65-65
- ISSN
- 2524-6372 (ISSN-L)
- PMC
- PMC12153180
- OpenAlex
- W4411214362
- Cited by
- 3
- References
- 5
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Environmental Microbiome (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL AMU (submittedVersion, cc-by)
- HAL (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- European Research Council (615274)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Protist diversity and phylogeny
- Keywords
- remote homology detection, marine metagenomes, microbial dark matter, unculturable microorganisms, protein divergence
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