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Eme L, Tamarit D. Microbial Diversity and Open Questions about the Deep Tree of Life. Genome Biol Evol 2024; 16:evae053. [PMID: 38620144 PMCID: PMC11018274 DOI: 10.1093/gbe/evae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2024] [Indexed: 04/17/2024] Open
Abstract
In this perspective, we explore the transformative impact and inherent limitations of metagenomics and single-cell genomics on our understanding of microbial diversity and their integration into the Tree of Life. We delve into the key challenges associated with incorporating new microbial lineages into the Tree of Life through advanced phylogenomic approaches. Additionally, we shed light on enduring debates surrounding various aspects of the microbial Tree of Life, focusing on recent advances in some of its deepest nodes, such as the roots of bacteria, archaea, and eukaryotes. We also bring forth current limitations in genome recovery and phylogenomic methodology, as well as new avenues of research to uncover additional key microbial lineages and resolve the shape of the Tree of Life.
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Affiliation(s)
- Laura Eme
- Ecologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Gif sur-Yvette, France
| | - Daniel Tamarit
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht 3584CH, The Netherlands
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2
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Mammola S, Adamo M, Antić D, Calevo J, Cancellario T, Cardoso P, Chamberlain D, Chialva M, Durucan F, Fontaneto D, Goncalves D, Martínez A, Santini L, Rubio-Lopez I, Sousa R, Villegas-Rios D, Verdes A, Correia RA. Drivers of species knowledge across the tree of life. eLife 2023; 12:RP88251. [PMID: 37846960 PMCID: PMC10581686 DOI: 10.7554/elife.88251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Knowledge of biodiversity is unevenly distributed across the Tree of Life. In the long run, such disparity in awareness unbalances our understanding of life on Earth, influencing policy decisions and the allocation of research and conservation funding. We investigated how humans accumulate knowledge of biodiversity by searching for consistent relationships between scientific (number of publications) and societal (number of views in Wikipedia) interest, and species-level morphological, ecological, and sociocultural factors. Across a random selection of 3019 species spanning 29 Phyla/Divisions, we show that sociocultural factors are the most important correlates of scientific and societal interest in biodiversity, including the fact that a species is useful or harmful to humans, has a common name, and is listed in the International Union for Conservation of Nature Red List. Furthermore, large-bodied, broadly distributed, and taxonomically unique species receive more scientific and societal attention, whereas colorfulness and phylogenetic proximity to humans correlate exclusively with societal attention. These results highlight a favoritism toward limited branches of the Tree of Life, and that scientific and societal priorities in biodiversity research broadly align. This suggests that we may be missing out on key species in our research and conservation agenda simply because they are not on our cultural radar.
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Affiliation(s)
- Stefano Mammola
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research CouncilVerbaniaItaly
- Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of HelsinkiHelsinkiFinland
- National Biodiversity Future CenterPalermoItaly
| | - Martino Adamo
- National Biodiversity Future CenterPalermoItaly
- Department of Life Sciences and Systems Biology, University of TurinTorinoItaly
| | - Dragan Antić
- University of Belgrade - Faculty of BiologyBelgradeSerbia
| | - Jacopo Calevo
- Royal Botanic GardensLondonUnited Kingdom
- School of Molecular and Life Sciences, Curtin UniversityPerthAustralia
| | - Tommaso Cancellario
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research CouncilVerbaniaItaly
| | - Pedro Cardoso
- Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of HelsinkiHelsinkiFinland
| | - Dan Chamberlain
- Department of Life Sciences and Systems Biology, University of TurinTorinoItaly
| | - Matteo Chialva
- National Biodiversity Future CenterPalermoItaly
- Department of Life Sciences and Systems Biology, University of TurinTorinoItaly
| | - Furkan Durucan
- Department of Aquaculture, Isparta University of Applied SciencesIspartaTurkey
| | - Diego Fontaneto
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research CouncilVerbaniaItaly
- National Biodiversity Future CenterPalermoItaly
| | - Duarte Goncalves
- CIIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of PortoMatosinhosPortugal
| | - Alejandro Martínez
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research CouncilVerbaniaItaly
| | - Luca Santini
- Department of Biology and Biotechnologies “Charles Darwin”, Sapienza University of RomeRomeItaly
| | - Iñigo Rubio-Lopez
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research CouncilVerbaniaItaly
| | - Ronaldo Sousa
- CBMA – Centre of Molecular and Environmental Biology, Department of Biology, University of MinhoMinhoPortugal
| | | | - Aida Verdes
- Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias NaturalesMadridSpain
| | - Ricardo A Correia
- Helsinki Lab of Interdisciplinary Conservation Science (HELICS), Department of Geosciences and Geography, University of HelsinkiHelsinkiFinland
- Helsinki Institute of Sustainability Science (HELSUS), University of HelsinkiHelsinkiFinland
- CESAM – Centre for Environmental and Marine Studies, University of AveiroAveiroPortugal
- Biodiversity Unit, University of TurkuTurkuFinland
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3
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Hendriks KP, Kiefer C, Al-Shehbaz IA, Bailey CD, Hooft van Huysduynen A, Nikolov LA, Nauheimer L, Zuntini AR, German DA, Franzke A, Koch MA, Lysak MA, Toro-Núñez Ó, Özüdoğru B, Invernón VR, Walden N, Maurin O, Hay NM, Shushkov P, Mandáková T, Schranz ME, Thulin M, Windham MD, Rešetnik I, Španiel S, Ly E, Pires JC, Harkess A, Neuffer B, Vogt R, Bräuchler C, Rainer H, Janssens SB, Schmull M, Forrest A, Guggisberg A, Zmarzty S, Lepschi BJ, Scarlett N, Stauffer FW, Schönberger I, Heenan P, Baker WJ, Forest F, Mummenhoff K, Lens F. Global Brassicaceae phylogeny based on filtering of 1,000-gene dataset. Curr Biol 2023; 33:4052-4068.e6. [PMID: 37659415 DOI: 10.1016/j.cub.2023.08.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/22/2023] [Accepted: 08/08/2023] [Indexed: 09/04/2023]
Abstract
The mustard family (Brassicaceae) is a scientifically and economically important family, containing the model plant Arabidopsis thaliana and numerous crop species that feed billions worldwide. Despite its relevance, most phylogenetic trees of the family are incompletely sampled and often contain poorly supported branches. Here, we present the most complete Brassicaceae genus-level family phylogenies to date (Brassicaceae Tree of Life or BrassiToL) based on nuclear (1,081 genes, 319 of the 349 genera; 57 of the 58 tribes) and plastome (60 genes, 265 genera; all tribes) data. We found cytonuclear discordance between the two, which is likely a result of rampant hybridization among closely and more distantly related lineages. To evaluate the impact of such hybridization on the nuclear phylogeny reconstruction, we performed five different gene sampling routines, which increasingly removed putatively paralog genes. Our cleaned subset of 297 genes revealed high support for the tribes, whereas support for the main lineages (supertribes) was moderate. Calibration based on the 20 most clock-like nuclear genes suggests a late Eocene to late Oligocene origin of the family. Finally, our results strongly support a recently published new family classification, dividing the family into two subfamilies (one with five supertribes), together representing 58 tribes. This includes five recently described or re-established tribes, including Arabidopsideae, a monogeneric tribe accommodating Arabidopsis without any close relatives. With a worldwide community of thousands of researchers working on Brassicaceae and its diverse members, our new genus-level family phylogeny will be an indispensable tool for studies on biodiversity and plant biology.
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Affiliation(s)
- Kasper P Hendriks
- Department of Biology, Botany, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany; Functional Traits Group, Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, the Netherlands.
| | - Christiane Kiefer
- Centre for Organismal Studies (COS), Heidelberg University, Im Neuenheimer Feld 345, 69120 Heidelberg, Germany
| | | | - C Donovan Bailey
- Department of Biology, New Mexico State University, PO Box 30001, MSC 3AF, Las Cruces, NM 88003, USA
| | - Alex Hooft van Huysduynen
- Functional Traits Group, Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, the Netherlands; Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium
| | - Lachezar A Nikolov
- Department of Molecular, Cell and Developmental Biology, University of California, 610 Charles E. Young Dr. S., Los Angeles, CA 90095, USA
| | - Lars Nauheimer
- Australian Tropical Herbarium, James Cook University, PO Box 6811, Cairns, QLD 4870, Australia
| | | | - Dmitry A German
- South-Siberian Botanical Garden, Altai State University, Barnaul, Lesosechnaya Ulitsa, 25, Barnaul, Altai Krai, Russia
| | - Andreas Franzke
- Heidelberg Botanic Garden, Heidelberg University, Im Neuenheimer Feld 361, 69120 Heidelberg, Germany
| | - Marcus A Koch
- Centre for Organismal Studies (COS), Heidelberg University, Im Neuenheimer Feld 345, 69120 Heidelberg, Germany
| | - Martin A Lysak
- CEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic
| | - Óscar Toro-Núñez
- Departamento de Botánica, Universidad de Concepción, Barrio Universitario, Concepción, Chile
| | - Barış Özüdoğru
- Department of Biology, Hacettepe University, Beytepe, Ankara 06800, Türkiye
| | - Vanessa R Invernón
- Sorbonne Université, Muséum National d'Histoire Naturelle, Institut de Systématique, Évolution, Biodiversité (ISYEB), CP 39, 57 rue Cuvier, 75231 Paris Cedex 05, France
| | - Nora Walden
- Centre for Organismal Studies (COS), Heidelberg University, Im Neuenheimer Feld 345, 69120 Heidelberg, Germany
| | - Olivier Maurin
- Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK
| | - Nikolai M Hay
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Philip Shushkov
- Department of Chemistry, Indiana University, 800 E. Kirkwood Ave., Bloomington, IN 47405, USA
| | - Terezie Mandáková
- CEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno 625 00, Czech Republic
| | - M Eric Schranz
- Biosystematics Group, Wageningen University, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands
| | - Mats Thulin
- Department of Organismal Biology, Uppsala University, Norbyvägen 18, 752 36 Uppsala, Sweden
| | | | - Ivana Rešetnik
- Department of Biology, University of Zagreb, Marulićev trg 20/II, 10000 Zagreb, Croatia
| | - Stanislav Španiel
- Institute of Botany, Slovak Academy of Sciences, Plant Science and Biodiversity Centre, Dúbravská cesta 9, 845 23 Bratislava, Slovakia
| | - Elfy Ly
- Functional Traits Group, Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, the Netherlands; Wetsus, European Centre of Excellence for Sustainable Water Technology, Oostergoweg 9, 8911 MA Leeuwarden, the Netherlands; Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands
| | - J Chris Pires
- Soil and Crop Sciences, Colorado State University, 307 University Ave., Fort Collins, CO 80523-1170, USA
| | - Alex Harkess
- HudsonAlpha Institute for Biotechnology, 601 Genome Way Northwest, Huntsville, AL 35806, USA
| | - Barbara Neuffer
- Department of Biology, Botany, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany
| | - Robert Vogt
- Botanischer Garten und Botanisches Museum, Freie Universität Berlin, Königin-Luise-Straße 6-8, 14195 Berlin, Germany
| | - Christian Bräuchler
- Department of Botany, Natural History Museum Vienna, Burgring 7, 1010 Vienna, Austria
| | - Heimo Rainer
- Department of Botany, Natural History Museum Vienna, Burgring 7, 1010 Vienna, Austria
| | - Steven B Janssens
- Department of Biology, KU Leuven, Kasteelpark Arenberg 31 - box 2435, 3001 Leuven, Belgium; Meise Botanic Garden, Nieuwelaan 38, 1860 Meise, Belgium
| | - Michaela Schmull
- Harvard University Herbaria, 22 Divinity Ave., Cambridge, MA 02138, USA
| | - Alan Forrest
- Centre for Middle Eastern Plants, Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh EH3 5LR, UK
| | - Alessia Guggisberg
- ETH Zürich, Institut für Integrative Biologie, Universitätstrasse 16, 8092 Zürich, Switzerland
| | - Sue Zmarzty
- Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK
| | - Brendan J Lepschi
- Australian National Herbarium, Centre for Australian National Biodiversity Research, Clunies Ross St, Acton, ACT 2601, Australia
| | - Neville Scarlett
- La Trobe University, Plenty Road and Kingsbury Dr., Bundoora, VIC 3086, Australia
| | - Fred W Stauffer
- Conservatory and Botanic Gardens of Geneva, CP 60, Chambésy, 1292 Geneva, Switzerland
| | - Ines Schönberger
- Manaaki Whenua Landcare Research, Allan Herbarium, PO Box 69040, Lincoln, New Zealand
| | - Peter Heenan
- Manaaki Whenua Landcare Research, Allan Herbarium, PO Box 69040, Lincoln, New Zealand
| | | | - Félix Forest
- Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK
| | - Klaus Mummenhoff
- Department of Biology, Botany, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany.
| | - Frederic Lens
- Functional Traits Group, Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, the Netherlands; Institute of Biology Leiden, Plant Sciences, Leiden University, Sylviusweg 72, 2333 BE Leiden, the Netherlands.
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Rangel LT, Fournier GP. Fast-Evolving Alignment Sites Are Highly Informative for Reconstructions of Deep Tree of Life Phylogenies. Microorganisms 2023; 11:2499. [PMID: 37894157 PMCID: PMC10609509 DOI: 10.3390/microorganisms11102499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/26/2023] [Accepted: 09/30/2023] [Indexed: 10/29/2023] Open
Abstract
The trimming of fast-evolving sites, often known as "slow-fast" analysis, is broadly used in microbial phylogenetic reconstruction under the assumption that fast-evolving sites do not retain an accurate phylogenetic signal due to substitution saturation. Therefore, removing sites that have experienced multiple substitutions would improve the signal-to-noise ratio in phylogenetic analyses, with the remaining slower-evolving sites preserving a more reliable record of evolutionary relationships. Here, we show that, contrary to this assumption, even the fastest-evolving sites present in the conserved proteins often used in Tree of Life studies contain reliable and valuable phylogenetic information, and that the trimming of such sites can negatively impact the accuracy of phylogenetic reconstruction. Simulated alignments modeled after ribosomal protein datasets used in Tree of Life studies consistently show that slow-evolving sites are less likely to recover true bipartitions than even the fastest-evolving sites. Furthermore, site-specific substitution rates are positively correlated with the frequency of accurately recovered short-branched bipartitions, as slowly evolving sites are less likely to have experienced substitutions along these intervals. Using published Tree of Life sequence alignment datasets, we also show that both slow- and fast-evolving sites contain similarly inconsistent phylogenetic signals, and that, for fast-evolving sites, this inconsistency can be attributed to poor alignment quality. Furthermore, trimming fast sites, slow sites, or both is shown to have a substantial impact on phylogenetic reconstruction across multiple evolutionary models. This is perhaps most evident in the resulting placements of the Eukarya and Asgardarchaeota groups, which are especially sensitive to the implementation of different trimming schemes.
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Affiliation(s)
- L. Thibério Rangel
- Department of Earth, Atmospheric, & Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;
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Hu X, Haas JG, Lathe R. The electronic tree of life (eToL): a net of long probes to characterize the microbiome from RNA-seq data. BMC Microbiol 2022; 22:317. [PMID: 36550399 PMCID: PMC9773549 DOI: 10.1186/s12866-022-02671-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 10/11/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Microbiome analysis generally requires PCR-based or metagenomic shotgun sequencing, sophisticated programs, and large volumes of data. Alternative approaches based on widely available RNA-seq data are constrained because of sequence similarities between the transcriptomes of microbes/viruses and those of the host, compounded by the extreme abundance of host sequences in such libraries. Current approaches are also limited to specific microbial groups. There is a need for alternative methods of microbiome analysis that encompass the entire tree of life. RESULTS We report a method to specifically retrieve non-human sequences in human tissue RNA-seq data. For cellular microbes we used a bioinformatic 'net', based on filtered 64-mer sequences designed from small subunit ribosomal RNA (rRNA) sequences across the Tree of Life (the 'electronic tree of life', eToL), to comprehensively (98%) entrap all non-human rRNA sequences present in the target tissue. Using brain as a model, retrieval of matching reads, re-exclusion of human-related sequences, followed by contig building and species identification, is followed by confirmation of the abundance and identity of the corresponding species groups. We provide methods to automate this analysis. The method reduces the computation time versus metagenomics by a factor of >1000. A variant approach is necessary for viruses. Again, because of significant matches between viral and human sequences, a 'stripping' approach is essential. Contamination during workup is a potential problem, and we discuss strategies to circumvent this issue. To illustrate the versatility of the method we report the use of the eToL methodology to unambiguously identify exogenous microbial and viral sequences in human tissue RNA-seq data across the entire tree of life including Archaea, Bacteria, Chloroplastida, basal Eukaryota, Fungi, and Holozoa/Metazoa, and discuss the technical and bioinformatic challenges involved. CONCLUSIONS This generic methodology is likely to find wide application in microbiome analysis including diagnostics.
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Affiliation(s)
- Xinyue Hu
- Program in Bioinformatics, School of Biological Sciences, King's Buildings, University of Edinburgh, Edinburgh, EH9 3FD, UK
| | - Jürgen G Haas
- Division of Infection Medicine, University of Edinburgh, Little France, Edinburgh, EH16 4SB, UK
| | - Richard Lathe
- Division of Infection Medicine, University of Edinburgh, Little France, Edinburgh, EH16 4SB, UK.
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Gololobova MA, Belyakova GA. Position of Algae on the Tree of Life. Dokl Biol Sci 2022; 507:312-326. [PMID: 36781528 DOI: 10.1134/s0012496622060035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 07/27/2022] [Accepted: 07/27/2022] [Indexed: 02/15/2023]
Abstract
Issues related to evolution of algal chloroplasts are considered. The position of algae on the Tree of Life is discussed. Algae are now included in five of the monophyletic eukaryotic supergroups: Archaeplastida (Glaucocystophyta, Rhodophyta, Prasinodermophyta, Chlorophyta, and Charophyta), TSAR (Ochrophyta; Dinophyta; Chlorarachniophyta; and photosynthetic species of the genera Chromera, Vetrella, and Paulinella), Haptista (Prymnesiophyta and Rappemonads), Cryptista (Cryptophyta), and Discoba (Euglenophyta). The algal divisions and the respective supergroups are characterized in brief.
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Affiliation(s)
- M A Gololobova
- Biological Faculty, Moscow State University, Moscow, Russia.
| | - G A Belyakova
- Biological Faculty, Moscow State University, Moscow, Russia
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Abstract
Although it is widely taught that all modern life descended via modification from a last universal common ancestor (LUCA), this dominant paradigm is yet to provide a generally accepted explanation for the chasm in design between prokaryotic and eukaryotic cells. Counter to this dominant paradigm, the viral eukaryogenesis (VE) hypothesis proposes that the eukaryotes originated as an emergent superorganism and thus did not evolve from LUCA via descent with incremental modification. According to the VE hypothesis, the eukaryotic nucleus descends from a viral factory, the mitochondrion descends from an enslaved alpha-proteobacteria and the cytoplasm and plasma membrane descend from an archaeal host. A virus initiated the eukaryogenesis process by colonising an archaeal host to create a virocell that had its metabolism reprogrammed to support the viral factory. Subsequently, viral processes facilitated the entry of a bacterium into the archaeal cytoplasm which was also eventually reprogrammed to support the viral factory. As the viral factory increased control of the consortium, the archaeal genome was lost, the bacterial genome was greatly reduced and the viral factory eventually evolved into the nucleus. It is proposed that the interaction between these three simple components generated a superorganism whose emergent properties allowed the evolution of eukaryotic complexity. If the radical tenets of the VE hypothesis are ultimately accepted, current biological paradigms regarding viruses, cell theory, LUCA and the universal Tree of Life (ToL) should be fundamentally altered or completely abandoned.
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Abstract
Reconstruction of the Tree of Life is a central goal in biology. Although numerous novel phyla of bacteria and archaea have recently been discovered, inconsistent phylogenetic relationships are routinely reported, and many inter-phylum and inter-domain evolutionary relationships remain unclear. Here, we benchmark different marker genes often used in constructing multidomain phylogenetic trees of bacteria and archaea and present a set of marker genes that perform best for multidomain trees constructed from concatenated alignments. We use recently-developed Tree Certainty metrics to assess the confidence of our results and to obviate the complications of traditional bootstrap-based metrics. Given the vastly disparate number of genomes available for different phyla of bacteria and archaea, we also assessed the impact of taxon sampling on multidomain tree construction. Our results demonstrate that biases between the representation of different taxonomic groups can dramatically impact the topology of resulting trees. Inspection of our highest-quality tree supports the division of most bacteria into Terrabacteria and Gracilicutes, with Thermatogota and Synergistota branching earlier from these superphyla. This tree also supports the inclusion of the Patescibacteria within the Terrabacteria as a sister group to the Chloroflexota instead of as a basal-branching lineage. For the Archaea, our tree supports three monophyletic lineages (DPANN, Euryarchaeota, and TACK/Asgard), although we note the basal placement of the DPANN may still represent an artifact caused by biased sequence composition. Our findings provide a robust and standardized framework for multidomain phylogenetic reconstruction that can be used to evaluate inter-phylum relationships and assess uncertainty in conflicting topologies of the Tree of Life.
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Affiliation(s)
| | - Frank O Aylward
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA
- Center for Emerging, Zoonotic, and Arthropod-borne Pathogens, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
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9
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Chow EOW, Fung SF. Narrative Group Intervention to Rediscover Life Wisdom Among Hong Kong Chinese Older Adults: A Single-Blind Randomized Waitlist-Controlled Trial. Innov Aging 2021; 5:igab027. [PMID: 34616957 PMCID: PMC8489428 DOI: 10.1093/geroni/igab027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND OBJECTIVES We developed a new group practice using strength- and meaning-based narrative therapy (NT) for older Chinese living in Hong Kong (HK), to enhance their life wisdom. This paper reports on the intervention and its short- and longer-term effectiveness. RESEARCH DESIGN AND METHODS A randomized waitlist-controlled trial was conducted. A total of 157 older adults were randomly recruited, of whom 75 were randomly assigned to the intervention group which received four 2-hr biweekly NT sessions using the "Tree of Life" metaphor. The others were placed on a waitlist. Perceived wisdom was assessed using the Brief Self-Assessed Wisdom Scale. Assessment occurred at baseline (T0), end of treatment (T1), and 4 (T2) and 8 months later (T3). Overtime effects of NT on wisdom scores were assessed using latent growth curve models with time-invariant covariates for impact. RESULTS The intervention (NT) group showed significant, sustainable overtime within-group improvement in perceived wisdom. Furthermore, when compared to the control group, the NT group showed significant immediate improvements in perceived wisdom [F(2.726, p = .041)], which were maintained at all follow-up points. This effect remained after controlling for age, gender, and educational level (T ML(11) = 17.306, p = .098, root mean square error of approximation = 0.079, comparative fit index = 0.960). No adverse reaction was recorded. DISCUSSION AND IMPLICATIONS NT underpinned by a ToL methodology offers a new theory to understand, promote, and appreciate perceived wisdom in older Chinese living in HK. It contributes to psychotherapy and professional social work practice for older Chinese.
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Affiliation(s)
- Esther Oi Wah Chow
- Department of Social and Behavioural Sciences, City University of Hong Kong, Kowloon, Hong Kong
| | - Sai-Fu Fung
- Department of Social and Behavioural Sciences, City University of Hong Kong, Kowloon, Hong Kong
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10
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Grace OM, Pérez-Escobar OA, Lucas EJ, Vorontsova MS, Lewis GP, Walker BE, Lohmann LG, Knapp S, Wilkie P, Sarkinen T, Darbyshire I, Lughadha EN, Monro A, Woudstra Y, Demissew S, Muasya AM, Díaz S, Baker WJ, Antonelli A. Botanical Monography in the Anthropocene. Trends Plant Sci 2021; 26:433-441. [PMID: 33579621 DOI: 10.1016/j.tplants.2020.12.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 12/15/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
Unprecedented changes in the Earth's biota are prompting urgent efforts to describe and conserve plant diversity. For centuries, botanical monographs - comprehensive systematic treatments of a family or genus - have been the gold standard for disseminating scientific information to accelerate research. The lack of a monograph compounds the risk that undiscovered species become extinct before they can be studied and conserved. Progress towards estimating the Tree of Life and digital information resources now bring even the most ambitious monographs within reach. Here, we recommend best practices to complete monographs urgently, especially for tropical plant groups under imminent threat or with expected socioeconomic benefits. We also highlight the renewed relevance and potential impact of monographies for the understanding, sustainable use, and conservation of biodiversity.
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Affiliation(s)
| | | | | | | | | | | | - Lúcia G Lohmann
- Universidade de São Paulo, Instituto de Biociências, Departamento de Botânica, 05508-900, São Paulo, Brazil
| | - Sandra Knapp
- Department of Botany, Natural History Museum, Cromwell Road, London, SW7 5BD, UK
| | - Peter Wilkie
- Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh, EH3 5LP, UK
| | - Tiina Sarkinen
- Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh, EH3 5LP, UK
| | | | | | | | - Yannick Woudstra
- Royal Botanic Gardens, Kew, TW9 3AE, UK; Natural History Museum of Denmark, University of Copenhagen, Gothersgade 130, Copenhagen 1153, Denmark
| | - Sebsebe Demissew
- Department of Plant Biology and Biodiversity Management, National Herbarium, College of Natural Sciences, Addis Ababa University, PO Box 3434, Addis Ababa, Ethiopia
| | - A Muthama Muasya
- Department of Biological Sciences, University of Cape Town, Rondebosch, 7700, South Africa
| | - Sandra Díaz
- Instituto Multidisciplinario de Biología Vegetal (CONICET-UNC) and FCEFyN, Universidad Nacional de Córdoba, Casilla de Correo 495, 5000 Córdoba, Argentina
| | | | - Alexandre Antonelli
- Royal Botanic Gardens, Kew, TW9 3AE, UK; Gothenburg Global Biodiversity Centre, Department of Biological and Environmental Sciences, University of Gothenburg, 41319 Gothenburg, Sweden; Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
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11
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Shen XX, Steenwyk JL, Rokas A. Dissecting incongruence between concatenation- and quartet-based approaches in phylogenomic data. Syst Biol 2021; 70:997-1014. [PMID: 33616672 DOI: 10.1093/sysbio/syab011] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/10/2021] [Accepted: 02/17/2021] [Indexed: 12/12/2022] Open
Abstract
Topological conflict or incongruence is widespread in phylogenomic data. Concatenation- and coalescent-based approaches often result in incongruent topologies, but the causes of this conflict can be difficult to characterize. We examined incongruence stemming from conflict between likelihood-based signal (quantified by the difference in gene-wise log likelihood score or ΔGLS) and quartet-based topological signal (quantified by the difference in gene-wise quartet score or ΔGQS) for every gene in three phylogenomic studies in animals, fungi, and plants, which were chosen because their concatenation-based IQ-TREE (T1) and quartet-based ASTRAL (T2) phylogenies are known to produce eight conflicting internal branches (bipartitions). By comparing the types of phylogenetic signal for all genes in these three data matrices, we found that 30% - 36% of genes in each data matrix are inconsistent, that is, each of these genes has higher log likelihood score for T1 versus T2 (i.e., ΔGLS >0) whereas its T1 topology has lower quartet score than its T2 topology (i.e., ΔGQS <0) or vice versa. Comparison of inconsistent and consistent genes using a variety of metrics (e.g., evolutionary rate, gene tree topology, distribution of branch lengths, hidden paralogy, and gene tree discordance) showed that inconsistent genes are more likely to recover neither T1 nor T2 and have higher levels of gene tree discordance than consistent genes. Simulation analyses demonstrate that removal of inconsistent genes from datasets with low levels of incomplete lineage sorting (ILS) and low and medium levels of gene tree estimation error (GTEE) reduced incongruence and increased accuracy. In contrast, removal of inconsistent genes from datasets with medium and high ILS levels and high GTEE levels eliminated or extensively reduced incongruence, but the resulting congruent species phylogenies were not always topologically identical to the true species trees.
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Affiliation(s)
- Xing-Xing Shen
- State Key Laboratory of Rice Biology and Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou, China.,Institute of Insect Sciences, Zhejiang University, Hangzhou, China
| | - Jacob L Steenwyk
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
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12
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Abstract
Viruses are ubiquitous. They infect almost every species and are probably the most abundant biological entities on the planet, yet they are excluded from the Tree of Life (ToL). However, there can be no doubt that viruses play a significant role in evolution, the force that facilitates all life on Earth. Conceptually, viruses are regarded by many as non-living entities that hijack living cells in order to propagate. A strict separation between living and non-living entities places viruses far from the ToL, but this may be theoretically unsound. Advances in sequencing technology and comparative genomics have expanded our understanding of the evolutionary relationships between viruses and cellular organisms. Genomic and metagenomic data have revealed that co-evolution between viral and cellular genomes involves frequent horizontal gene transfer and the occasional co-option of novel functions over evolutionary time. From the giant, ameba-infecting marine viruses to the tiny Porcine circovirus harboring only two genes, viruses and their cellular hosts are ecologically and evolutionarily intertwined. When deciding how, if, and where viruses should be placed on the ToL, we should remember that the Tree functions best as a model of biological evolution on Earth, and it is important that models themselves evolve with our increasing understanding of biological systems.
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Affiliation(s)
- Hugh M B Harris
- APC Microbiome Ireland, College of Medicine and Health, University College Cork, Cork, Ireland
| | - Colin Hill
- APC Microbiome Ireland, College of Medicine and Health, University College Cork, Cork, Ireland.,School of Microbiology, University College Cork, Cork, Ireland
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13
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Reydon TAC. Taxa hold little information about organisms: Some inferential problems in biological systematics. Hist Philos Life Sci 2019; 41:40. [PMID: 31591647 DOI: 10.1007/s40656-019-0281-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 09/17/2019] [Indexed: 06/10/2023]
Abstract
The taxa that appear in biological classifications are commonly seen as representing information about the traits of their member organisms. This paper examines in what way taxa feature in the storage and retrieval of such information. I will argue that taxa do not actually store much information about the traits of their member organisms. Rather, I want to suggest, taxa should be understood as functioning to localize organisms in the genealogical network of life on Earth. Taxa store information about where organisms are localized in the network, which is important background information when it comes to establishing knowledge about organismal traits, but it is not itself information about these traits. The view of species and higher taxa that is proposed here follows from examining three problems that occur in contemporary biological systematics and are discussed here: the problem of generalization over taxa, the problem of phylogenetic inference, and the problematic nature of the Tree of Life.
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Affiliation(s)
- Thomas A C Reydon
- Institute of Philosophy & Centre for Ethics and Law in the Life Sciences (CELLS), Leibniz University Hannover, Im Moore 21, 30167, Hannover, Germany.
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14
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Abstract
Genome-wide comparison of phylogenetic trees is becoming an increasingly common approach in evolutionary genomics, and a variety of approaches for such comparison have been developed. In this article we present several methods for comparative analysis of large numbers of phylogenetic trees. To compare phylogenetic trees taking into account the bootstrap support for each internal branch, the boot-split distance (BSD) method is introduced as an extension of the previously developed split distance (SD) method for tree comparison. The BSD method implements the straightforward idea that comparison of phylogenetic trees can be made more robust by treating tree splits differentially depending on the bootstrap support. Approaches are also introduced for detecting treelike and netlike evolutionary trends in the phylogenetic Forest of Life (FOL), i.e., the entirety of the phylogenetic trees for conserved genes of prokaryotes. The principal method employed for this purpose includes mapping quartets of species onto trees to calculate the support of each quartet topology and so to quantify the tree and net contributions to the distances between species. We describe the applications methods used to analyze the FOL and the results obtained with these methods. These results support the concept of the Tree of Life (TOL) as a central evolutionary trend in the FOL as opposed to the traditional view of the TOL as a "species tree."
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Affiliation(s)
- Pere Puigbò
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.,Division of Genetics and Physiology, Department of Biology, University of Turku, Turku, Finland
| | - Yuri I Wolf
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
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15
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Luo A, Ho SYW. The molecular clock and evolutionary timescales. Biochem Soc Trans 2018; 46:1183-90. [PMID: 30154097 DOI: 10.1042/BST20180186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 07/17/2018] [Accepted: 07/24/2018] [Indexed: 11/17/2022]
Abstract
The molecular clock provides a valuable means of estimating evolutionary timescales from genetic and biochemical data. Proposed in the early 1960s, it was first applied to amino acid sequences and immunological measures of genetic distances between species. The molecular clock has undergone considerable development over the years, and it retains profound relevance in the genomic era. In this mini-review, we describe the history of the molecular clock, its impact on evolutionary theory, the challenges brought by evidence of evolutionary rate variation among species, and the statistical models that have been developed to account for these heterogeneous rates of genetic change. We explain how the molecular clock can be used to infer rates and timescales of evolution, and we list some of the key findings that have been obtained when molecular clocks have been applied to genomic data. Despite the numerous challenges that it has faced over the decades, the molecular clock continues to offer the most effective method of resolving the details of the evolutionary timescale of the Tree of Life.
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16
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Abstract
The classic Darwinian theory and the Synthetic evolutionary theory and their linear models, while invaluable to study the origins and evolution of species, are not primarily designed to model the evolution of organisations, typically that of ecosystems, nor that of processes. How could evolutionary theory better explain the evolution of biological complexity and diversity? Inclusive network-based analyses of dynamic systems could retrace interactions between (related or unrelated) components. This theoretical shift from a Tree of Life to a Dynamic Interaction Network of Life, which is supported by diverse molecular, cellular, microbiological, organismal, ecological and evolutionary studies, would further unify evolutionary biology.
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Affiliation(s)
- Eric Bapteste
- Sorbonne Universités, UPMC Université Paris 06, Institut de Biologie Paris-Seine (IBPS), F-75005 Paris, France
- CNRS, UMR7138, Institut de Biologie Paris-Seine, F-75005 Paris, France
| | - Philippe Huneman
- Institut d’Histoire et de Philosophie des Sciences et des Techniques (CNRS / Paris I Sorbonne), F-75006 Paris, France
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17
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Abstract
During the summer of 2016, in the midst of one of the biggest refugee crises in centuries, the author of this article joined the team from a shelter for unaccompanied refugee minors on Samos, Greece, in an effort to provide young boys seeking asylum in Europe with an opportunity to engage in speaking about the difficulties they have encountered in life. The team used a collective narrative methodology called the "Tree of Life", originally developed by Ncube-Mlilo and Denborough. In addition to traditional psychological treatments, collective narrative practice creates a secure foundation for addressing trauma, suffering, and hardship. This approach takes into consideration cultural differences and is easy to access for refugees with perceived stigma of traditional mental health services. The Tree of Life is a minimum of 8-hour workshop involving a strength-based narrative methodology, using the tree as a metaphor. This enables participants to share and develop enriching stories about their lives, which are rooted in their cultural and social histories. The workshop conducted on Samos proved to be an effective way to invite young unaccompanied minors to speak about their difficulties in ways that were not retraumatizing, but instead made them stronger.
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18
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Staley JT. Domain Cell Theory supports the independent evolution of the Eukarya, Bacteria and Archaea and the Nuclear Compartment Commonality hypothesis. Open Biol 2017; 7:170041. [PMID: 28659382 PMCID: PMC5493775 DOI: 10.1098/rsob.170041] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 05/26/2017] [Indexed: 01/15/2023] Open
Abstract
In 2015, the Royal Society of London held a meeting to discuss the various hypotheses regarding the origin of the Eukarya. Although not all participants supported a hypothesis, the proposals that did fit into two broad categories: one group favoured 'Prokaryotes First' hypotheses and another addressed 'Eukaryotes First' hypotheses. Those who proposed Prokaryotes First hypotheses advocated either a fusion event between a bacterium and an archaeon that produced the first eukaryote or the direct evolution of the Eukarya from the Archaea. The Eukaryotes First proponents posit that the eukaryotes evolved initially and then, by reductive evolution, produced the Bacteria and Archaea. No mention was made of another previously published hypothesis termed the Nuclear Compartment Commonality (NuCom) hypothesis, which proposed the evolution of the Eukarya and Bacteria from nucleated ancestors (Staley 2013 Astrobiol Outreach1, 105 (doi:10.4172/2332-2519.1000105)). Evidence from two studies indicates that the nucleated Planctomycetes-Verrucomicrobia-Chlamydia superphylum members are the most ancient Bacteria known (Brochier & Philippe 2002 Nature417, 244 (doi:10.1038/417244a); Jun et al. 2010 Proc. Natl Acad. Sci. USA107, 133-138 (doi:10.1073/pnas.0913033107)). This review summarizes the evidence for the NuCom hypothesis and discusses how simple the NuCom hypothesis is in explaining eukaryote evolution relative to the other hypotheses. The philosophical importance of simplicity and its relationship to truth in hypotheses such as NuCom and Domain Cell Theory is presented. Domain Cell Theory is also proposed herein, which contends that each of the three cellular lineages of life, the Archaea, Bacteria and Eukarya domains, evolved independently, in support of the NuCom hypothesis. All other proposed hypotheses violate Domain Cell Theory because they posit the evolution of different cellular descendants from ancestral cellular types.
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Affiliation(s)
- James T Staley
- Department of Microbiology and Astrobiology Program, University of Washington, Seattle, WA 98195, USA
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19
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Tashkandy N, Sabban S, Fakieh M, Meier-Kolthoff JP, Huang S, Tindall BJ, Rohde M, Baeshen MN, Baeshen NA, Lapidus A, Copeland A, Pillay M, Reddy TBK, Huntemann M, Pati A, Ivanova N, Markowitz V, Woyke T, Göker M, Klenk HP, Kyrpides NC, Hahnke RL. High-quality draft genome sequence of Flavobacterium suncheonense GH29-5(T) (DSM 17707(T)) isolated from greenhouse soil in South Korea, and emended description of Flavobacterium suncheonense GH29-5(T). Stand Genomic Sci 2016; 11:42. [PMID: 27313837 PMCID: PMC4910214 DOI: 10.1186/s40793-016-0159-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 05/23/2016] [Indexed: 02/01/2023] Open
Abstract
Flavobacterium suncheonense is a member of the family Flavobacteriaceae in the phylum Bacteroidetes. Strain GH29-5T (DSM 17707T) was isolated from greenhouse soil in Suncheon, South Korea. F. suncheonense GH29-5T is part of the GenomicEncyclopedia ofBacteria andArchaea project. The 2,880,663 bp long draft genome consists of 54 scaffolds with 2739 protein-coding genes and 82 RNA genes. The genome of strain GH29-5T has 117 genes encoding peptidases but a small number of genes encoding carbohydrate active enzymes (51 CAZymes). Metallo and serine peptidases were found most frequently. Among CAZymes, eight glycoside hydrolase families, nine glycosyl transferase families, two carbohydrate binding module families and four carbohydrate esterase families were identified. Suprisingly, polysaccharides utilization loci (PULs) were not found in strain GH29-5T. Based on the coherent physiological and genomic characteristics we suggest that F. suncheonense GH29-5T feeds rather on proteins than saccharides and lipids.
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Affiliation(s)
- Nisreen Tashkandy
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Sari Sabban
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Fakieh
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jan P Meier-Kolthoff
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Sixing Huang
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Brian J Tindall
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Manfred Rohde
- HZI - Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Mohammed N Baeshen
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia ; Center of Nanotechnology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Nabih A Baeshen
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia ; Center of Nanotechnology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Alla Lapidus
- Centre for Algorithmic Biotechnology, St. Petersburg State University, St. Petersburg, Russia
| | - Alex Copeland
- Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Manoj Pillay
- Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, CA USA
| | - T B K Reddy
- Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Marcel Huntemann
- Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Amrita Pati
- Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Natalia Ivanova
- Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Victor Markowitz
- Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, CA USA
| | - Tanja Woyke
- Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Markus Göker
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Hans-Peter Klenk
- School of Biology, Newcastle University, Newcastle upon Tyne, UK
| | - Nikos C Kyrpides
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia ; Department of Energy Joint Genome Institute, Genome Biology Program, Walnut Creek, CA USA
| | - Richard L Hahnke
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
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20
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Boeckmann B, Marcet-Houben M, Rees JA, Forslund K, Huerta-Cepas J, Muffato M, Yilmaz P, Xenarios I, Bork P, Lewis SE, Gabaldón T. Quest for Orthologs Entails Quest for Tree of Life: In Search of the Gene Stream. Genome Biol Evol 2015; 7:1988-99. [PMID: 26133389 PMCID: PMC4524488 DOI: 10.1093/gbe/evv121] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Quest for Orthologs (QfO) is a community effort with the goal to improve and benchmark orthology predictions. As quality assessment assumes prior knowledge on species phylogenies, we investigated the congruency between existing species trees by comparing the relationships of 147 QfO reference organisms from six Tree of Life (ToL)/species tree projects: The National Center for Biotechnology Information (NCBI) taxonomy, Opentree of Life, the sequenced species/species ToL, the 16S ribosomal RNA (rRNA) database, and trees published by Ciccarelli et al. (Ciccarelli FD, et al. 2006. Toward automatic reconstruction of a highly resolved tree of life. Science 311:1283–1287) and by Huerta-Cepas et al. (Huerta-Cepas J, Marcet-Houben M, Gabaldon T. 2014. A nested phylogenetic reconstruction approach provides scalable resolution in the eukaryotic Tree Of Life. PeerJ PrePrints 2:223) Our study reveals that each species tree suggests a different phylogeny: 87 of the 146 (60%) possible splits of a dichotomous and rooted tree are congruent, while all other splits are incongruent in at least one of the species trees. Topological differences are observed not only at deep speciation events, but also within younger clades, such as Hominidae, Rodentia, Laurasiatheria, or rosids. The evolutionary relationships of 27 archaea and bacteria are highly inconsistent. By assessing 458,108 gene trees from 65 genomes, we show that consistent species topologies are more often supported by gene phylogenies than contradicting ones. The largest concordant species tree includes 77 of the QfO reference organisms at the most. Results are summarized in the form of a consensus ToL (http://swisstree.vital-it.ch/species_tree) that can serve different benchmarking purposes.
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Affiliation(s)
| | - Marina Marcet-Houben
- Bioinformatics and Genomics, Centre for Genomic Regulation, Barcelona, Spain Universitat Pompeu Fabra, Barcelona, Spain
| | - Jonathan A Rees
- US National Evolutionary Synthesis Center, Duke University, Durham, NC
| | - Kristoffer Forslund
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jaime Huerta-Cepas
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Matthieu Muffato
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Pelin Yilmaz
- Microbial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Ioannis Xenarios
- Swiss-Prot, Swiss Institute of Bioinformatics, Geneva, Switzerland Vital-IT, Swiss Institute of Bioinformatics, Lausanne, Switzerland Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany Germany Molecular Medicine Partnership Unit, University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany Max Delbrück Centre for Molecular Medicine, Berlin, Germany
| | | | - Toni Gabaldón
- Bioinformatics and Genomics, Centre for Genomic Regulation, Barcelona, Spain Universitat Pompeu Fabra, Barcelona, Spain Institució Catalana de Recerca I Estudis Avançats, Barcelona, Spain
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21
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Abstract
One of the most fundamental questions in evolutionary biology is the origin of the lineage leading to eukaryotes. Recent phylogenomic analyses have indicated an emergence of eukaryotes from within the radiation of modern Archaea and specifically from a group comprising Thaumarchaeota/"Aigarchaeota" (candidate phylum)/Crenarchaeota/Korarchaeota (TACK). Despite their major implications, these studies were all based on the reconstruction of universal trees and left the exact placement of eukaryotes with respect to the TACK lineage unclear. Here we have applied an original two-step approach that involves the separate analysis of markers shared between Archaea and eukaryotes and between Archaea and Bacteria. This strategy allowed us to use a larger number of markers and greater taxonomic coverage, obtain high-quality alignments, and alleviate tree reconstruction artifacts potentially introduced when analyzing the three domains simultaneously. Our results robustly indicate a sister relationship of eukaryotes with the TACK superphylum that is strongly associated with a distinct root of the Archaea that lies within the Euryarchaeota, challenging the traditional topology of the archaeal tree. Therefore, if we are to embrace an archaeal origin for eukaryotes, our view of the evolution of the third domain of life will have to be profoundly reconsidered, as will many areas of investigation aimed at inferring ancestral characteristics of early life and Earth.
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22
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Abstract
Current hypotheses about the history of cellular life are mainly based on analyses of cultivated organisms, but these represent only a small fraction of extant biodiversity. The sequencing of new environmental lineages therefore provides an opportunity to test, revise, or reject existing ideas about the tree of life and the origin of eukaryotes. According to the textbook three domains hypothesis, the eukaryotes emerge as the sister group to a monophyletic Archaea. However, recent analyses incorporating better phylogenetic models and an improved sampling of the archaeal domain have generally supported the competing eocyte hypothesis, in which core genes of eukaryotic cells originated from within the Archaea, with important implications for eukaryogenesis. Given this trend, it was surprising that a recent analysis incorporating new genomes from uncultivated Archaea recovered a strongly supported three domains tree. Here, we show that this result was due in part to the use of a poorly fitting phylogenetic model and also to the inclusion by an automated pipeline of genes of putative bacterial origin rather than nucleocytosolic versions for some of the eukaryotes analyzed. When these issues were resolved, analyses including the new archaeal lineages placed core eukaryotic genes within the Archaea. These results are consistent with a number of recent studies in which improved archaeal sampling and better phylogenetic models agree in supporting the eocyte tree over the three domains hypothesis.
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Affiliation(s)
- Tom A Williams
- Institute for Cell and Molecular Biosciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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23
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Abstract
The viral nature of the first “giant virus,” Mimivirus, was realized in 2003, 10 y after its initial isolation from the water of a cooling tower in Bradford, UK. Soon after its genome was sequenced, the mining of the Global Ocean Sampling environmental sequence database revealed that the closest relatives of Mimivirus, only known to infect Acanthamoeba, were to be found in the sea. These predicted marine Mimivirus relatives remained elusive until 2010, with the first genomic characterization of a virus infecting a heterotrophic unicellular eukaryote, the microflagellate grazer Cafeteria roenbergensis. The genome analysis of a virus (PgV) infecting the common unicellular algae Phaeocystis globosa now shows that it is a bona fide member of the Mimivirus family (i.e., the Megaviridae), extending the realm of these giant viruses to abundant blooming phytoplankton species. Despite its smaller genome size (460 kb encoding 434 proteins), PgV exhibits the most intriguing feature of the previously characterized Megaviridae: an associated virophage. However, the 19-kb virophage genome, devoid of a capsid gene, is packaged in the PgV particle and propagated as a “viral plasmid,” the first ever described. The PgV genome also exhibits the duplication of “core genes,” normally present as single copies and a putative new type of mobile element. In a DNA polymerase phylogeny including representatives of the three cellular domains, PgV and the other Megaviridae cluster into their own clade deeply branching between domains Archaea and Eukarya domains, thus exhibiting the topology of a fourth domain in the Tree of Life.
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Affiliation(s)
- Jean-Michel Claverie
- Structural and Genomic Information Laboratory (IGS-UMR7256 and Mediterranean Institute of Microbiology (FR3479); Centre National de la Recherche Scientifique; Aix-Marseille University; Marseille, France
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24
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Abstract
We recently described Megavirus chilensis, a giant virus isolated off the coast of Chile, also replicating in fresh water acanthamoeba. Its 1,259,197-bp genome encodes 1,120 proteins and is the largest known viral genome. Megavirus and its closest relative Mimivirus only share 594 orthologous genes, themselves sharing only 50% of identical residues in average. Despite this divergence, comparable to the maximal divergence exhibited by bacteria within the same division (e.g., gamma proteobacteria), Megavirus retained all of the genomic features unique to Mimivirus, in particular its genes encoding key-elements of the translation apparatus, a trademark of cellular organisms. Besides homologs to the four aminoacyl-tRNA synthetases (aaRS) encoded by Mimivirus, Megavirus added three additional ones, raising the total of known virus-encoded aaRS to seven: IleRS, TrpRS, AsnRS, ArgRS, CysRS, MetRS, TyrRS. This finding strongly suggests that large DNA viruses derived from an ancestral cellular genome by reductive evolution. The nature of this cellular ancestor remains hotly debated.
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Affiliation(s)
- Matthieu Legendre
- Information Génomique et Structurale; Centre National de la Recherche Scientifique-Unité Propre de Recherche 2589; Aix-Marseille University; Institut de Microbiologie de la Méditerranée; Parc Scientifique de Luminy; Case 934; Marseille, France
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25
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Schoch CL, Crous PW, Groenewald JZ, Boehm EWA, Burgess TI, de Gruyter J, de Hoog GS, Dixon LJ, Grube M, Gueidan C, Harada Y, Hatakeyama S, Hirayama K, Hosoya T, Huhndorf SM, Hyde KD, Jones EBG, Kohlmeyer J, Kruys A, Li YM, Lücking R, Lumbsch HT, Marvanová L, Mbatchou JS, McVay AH, Miller AN, Mugambi GK, Muggia L, Nelsen MP, Nelson P, Owensby CA, Phillips AJL, Phongpaichit S, Pointing SB, Pujade-Renaud V, Raja HA, Plata ER, Robbertse B, Ruibal C, Sakayaroj J, Sano T, Selbmann L, Shearer CA, Shirouzu T, Slippers B, Suetrong S, Tanaka K, Volkmann-Kohlmeyer B, Wingfield MJ, Wood AR, Woudenberg JHC, Yonezawa H, Zhang Y, Spatafora JW. A class-wide phylogenetic assessment of Dothideomycetes. Stud Mycol 2011; 64:1-15S10. [PMID: 20169021 PMCID: PMC2816964 DOI: 10.3114/sim.2009.64.01] [Citation(s) in RCA: 344] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
We present a comprehensive phylogeny derived from 5 genes, nucSSU, nucLSU rDNA, TEF1, RPB1 and RPB2, for 356 isolates and 41 families (six newly described in this volume) in Dothideomycetes. All currently accepted orders in the class are represented for the first time in addition to numerous previously unplaced lineages. Subclass Pleosporomycetidae is expanded to include the aquatic order Jahnulales. An ancestral reconstruction of basic nutritional modes supports numerous transitions from saprobic life histories to plant associated and lichenised modes and a transition from terrestrial to aquatic habitats are confirmed. Finally, a genomic comparison of 6 dothideomycete genomes with other fungi finds a high level of unique protein associated with the class, supporting its delineation as a separate taxon.
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Affiliation(s)
- C L Schoch
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, MSC 6510, Bethesda, Maryland 20892-6510, U.S.A
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Nolan M, Gronow S, Lapidus A, Ivanova N, Copeland A, Lucas S, Del Rio TG, Chen F, Tice H, Pitluck S, Cheng JF, Sims D, Meincke L, Bruce D, Goodwin L, Brettin T, Han C, Detter JC, Ovchinikova G, Pati A, Mavromatis K, Mikhailova N, Chen A, Palaniappan K, Land M, Hauser L, Chang YJ, Jeffries CD, Rohde M, Spröer C, Göker M, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Chain P. Complete genome sequence of Streptobacillus moniliformis type strain (9901). Stand Genomic Sci 2009; 1:300-7. [PMID: 21304670 PMCID: PMC3035246 DOI: 10.4056/sigs.48727] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Streptobacillus moniliformis Levaditi et al. 1925 is the type and sole species of the genus Streptobacillus, and is of phylogenetic interest because of its isolated location in the sparsely populated and neither taxonomically nor genomically much accessed family 'Leptotrichiaceae' within the phylum Fusobacteria. The 'Leptotrichiaceae' have not been well characterized, genomically or taxonomically. S. moniliformis,is a Gram-negative, non-motile, pleomorphic bacterium and is the etiologic agent of rat bite fever and Haverhill fever. Strain 9901T, the type strain of the species, was isolated from a patient with rat bite fever. Here we describe the features of this organism, together with the complete genome sequence and annotation. This is only the second completed genome sequence of the order Fusobacteriales and no more than the third sequence from the phylum Fusobacteria. The 1,662,578 bp long chromosome and the 10,702 bp plasmid with a total of 1511 protein-coding and 55 RNA genes are part of the Genomic Encyclopedia of Bacteria and Archaea project.
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