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Liang W, Nunes R, Leong JV, Carvalho APS, Müller CJ, Braby MF, Pequin O, Hoshizaki S, Morinaka S, Peggie D, Badon JAT, Mohagan AB, Beaver E, Hsu YF, Inayoshi Y, Monastyrskii A, Vlasanek P, Toussaint EFA, Benítez HA, Kawahara AY, Pierce NE, Lohman DJ. To and fro in the archipelago: Repeated inter-island dispersal and New Guinea's orogeny affect diversification of Delias, the world's largest butterfly genus. Mol Phylogenet Evol 2024; 194:108022. [PMID: 38325534 DOI: 10.1016/j.ympev.2024.108022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 01/20/2024] [Accepted: 01/28/2024] [Indexed: 02/09/2024]
Abstract
The world's largest butterfly genus Delias, commonly known as Jezebels, comprises ca. 251 species found throughout Asia, Australia, and Melanesia. Most species are endemic to islands in the Indo-Australian Archipelago or to New Guinea and nearby islands in Melanesia, and many species are restricted to montane habitats over 1200 m. We inferred an extensively sampled and well-supported molecular phylogeny of the group to better understand the spatial and temporal dimensions of its diversification. The remarkable diversity of Delias evolved in just ca. 15-16 Myr (crown age). The most recent common ancestor of a clade with most of the species dispersed out of New Guinea ca. 14 Mya, but at least six subsequently diverging lineages dispersed back to the island. Diversification was associated with frequent dispersal of lineages among the islands of the Indo-Australian Archipelago, and the divergence of sister taxa on a single landmass was rare and occurred only on the largest islands, most notably on New Guinea. We conclude that frequent inter-island dispersal during the Neogene-likely facilitated by frequent sea level change-sparked much diversification during that period. Many extant New Guinea lineages started diversifying 5 Mya, suggesting that orogeny facilitated their diversification. Our results largely agree with the most recently proposed species group classification system, and we use our large taxon sample to extend this system to all described species. Finally, we summarize recent insights to speculate how wing pattern evolution, mimicry, and sexual selection might also contribute to these butterflies' rapid speciation and diversification.
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Affiliation(s)
- Weijun Liang
- Department of Biology, City College of New York, City University of New York, USA
| | - Renato Nunes
- Department of Biology, City College of New York, City University of New York, USA; PhD Program in Biology, Graduate Center, City University of New York, New York, NY, USA
| | - Jing V Leong
- Department of Biology, City College of New York, City University of New York, USA; Biology Centre of the Czech Academy of Sciences, Branisovska 31, Ceske Budejovice, Czech Republic; Faculty of Science, Department of Zoology, University of South Bohemia, Ceske Budejovice, Czech Republic
| | - Ana Paula S Carvalho
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA
| | | | - Michael F Braby
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, Acton, ACT, Australia; Australian National Insect Collection, Canberra, ACT, Australia
| | | | - Sugihiko Hoshizaki
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Yayoi, Bunkyo-ku, Tokyo, Japan
| | | | - Djunijanti Peggie
- Museum Zoologicum Bogoriense, Research Center for Biosystematics and Evolution, National Research and Innovation Agency, Cibinong-Bogor, Indonesia
| | - Jade Aster T Badon
- Animal Biology Division, Institute of Biological Sciences, University of the Philippines Los Baños, Laguna, Philippines
| | - Alma B Mohagan
- Department of Biology, College of Arts and Sciences, and Center for Biodiversity Research & Extension in Mindanao, Central Mindanao University, Musuan, Maramag, Bukidnon, Philippines
| | - Ethan Beaver
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, Acton, ACT, Australia; Australian National Insect Collection, Canberra, ACT, Australia
| | - Yu-Feng Hsu
- College of Life Science, National Taiwan Normal University, Taipei, Taiwan
| | - Yutaka Inayoshi
- Sritana Condominium 2, 96/173, Huay Kaeo Rd. T. Suthep, A. Muang, Chiang Mai, Thailand
| | - Alexander Monastyrskii
- Vietnam National Museum of Nature, Vietnam Academy of Science and Technology, Cau Giay, Hanoi, Viet Nam
| | - Petr Vlasanek
- T.G. Masaryk Water Research Institute, Prague, Czech Republic
| | | | - Hugo A Benítez
- Laboratorio de Ecología y Morfometría Evolutiva, Centro de Investigación de Estudios Avanzados del Maule, Universidad Católica del Maule, Talca, Chile
| | - Akito Y Kawahara
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA; Entomology & Nematology Department and Department of Biology, University of Florida, Gainesville, FL, USA
| | - Naomi E Pierce
- Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - David J Lohman
- Department of Biology, City College of New York, City University of New York, USA; PhD Program in Biology, Graduate Center, City University of New York, New York, NY, USA; Entomology Section, National Museum of Natural History, Manila, Philippines.
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2
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Serra Moncadas L, Hofer C, Bulzu PA, Pernthaler J, Andrei AS. Freshwater genome-reduced bacteria exhibit pervasive episodes of adaptive stasis. Nat Commun 2024; 15:3421. [PMID: 38653968 PMCID: PMC11039613 DOI: 10.1038/s41467-024-47767-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 04/10/2024] [Indexed: 04/25/2024] Open
Abstract
The emergence of bacterial species is rooted in their inherent potential for continuous evolution and adaptation to an ever-changing ecological landscape. The adaptive capacity of most species frequently resides within the repertoire of genes encoding the secreted proteome (SP), as it serves as a primary interface used to regulate survival/reproduction strategies. Here, by applying evolutionary genomics approaches to metagenomics data, we show that abundant freshwater bacteria exhibit biphasic adaptation states linked to the eco-evolutionary processes governing their genome sizes. While species with average to large genomes adhere to the dominant paradigm of evolution through niche adaptation by reducing the evolutionary pressure on their SPs (via the augmentation of functionally redundant genes that buffer mutational fitness loss) and increasing the phylogenetic distance of recombination events, most of the genome-reduced species exhibit a nonconforming state. In contrast, their SPs reflect a combination of low functional redundancy and high selection pressure, resulting in significantly higher levels of conservation and invariance. Our findings indicate that although niche adaptation is the principal mechanism driving speciation, freshwater genome-reduced bacteria often experience extended periods of adaptive stasis. Understanding the adaptive state of microbial species will lead to a better comprehension of their spatiotemporal dynamics, biogeography, and resilience to global change.
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Affiliation(s)
- Lucas Serra Moncadas
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, Kilchberg, Switzerland
| | - Cyrill Hofer
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, Kilchberg, Switzerland
| | - Paul-Adrian Bulzu
- Department of Aquatic Microbial Ecology, Institute of Hydrobiology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Jakob Pernthaler
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, Kilchberg, Switzerland
| | - Adrian-Stefan Andrei
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, Kilchberg, Switzerland.
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3
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Park H, Joachimiak MP, Jungbluth SP, Yang Z, Riehl WJ, Canon RS, Arkin AP, Dehal PS. A bacterial sensor taxonomy across earth ecosystems for machine learning applications. mSystems 2024; 9:e0002623. [PMID: 38078749 PMCID: PMC10804942 DOI: 10.1128/msystems.00026-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 10/23/2023] [Indexed: 01/24/2024] Open
Abstract
Microbial communities have evolved to colonize all ecosystems of the planet, from the deep sea to the human gut. Microbes survive by sensing, responding, and adapting to immediate environmental cues. This process is driven by signal transduction proteins such as histidine kinases, which use their sensing domains to bind or otherwise detect environmental cues and "transduce" signals to adjust internal processes. We hypothesized that an ecosystem's unique stimuli leave a sensor "fingerprint," able to identify and shed insight on ecosystem conditions. To test this, we collected 20,712 publicly available metagenomes from Host-associated, Environmental, and Engineered ecosystems across the globe. We extracted and clustered the collection's nearly 18M unique sensory domains into 113,712 similar groupings with MMseqs2. We built gradient-boosted decision tree machine learning models and found we could classify the ecosystem type (accuracy: 87%) and predict the levels of different physical parameters (R2 score: 83%) using the sensor cluster abundance as features. Feature importance enables identification of the most predictive sensors to differentiate between ecosystems which can lead to mechanistic interpretations if the sensor domains are well annotated. To demonstrate this, a machine learning model was trained to predict patient's disease state and used to identify domains related to oxygen sensing present in a healthy gut but missing in patients with abnormal conditions. Moreover, since 98.7% of identified sensor domains are uncharacterized, importance ranking can be used to prioritize sensors to determine what ecosystem function they may be sensing. Furthermore, these new predictive sensors can function as targets for novel sensor engineering with applications in biotechnology, ecosystem maintenance, and medicine.IMPORTANCEMicrobes infect, colonize, and proliferate due to their ability to sense and respond quickly to their surroundings. In this research, we extract the sensory proteins from a diverse range of environmental, engineered, and host-associated metagenomes. We trained machine learning classifiers using sensors as features such that it is possible to predict the ecosystem for a metagenome from its sensor profile. We use the optimized model's feature importance to identify the most impactful and predictive sensors in different environments. We next use the sensor profile from human gut metagenomes to classify their disease states and explore which sensors can explain differences between diseases. The sensors most predictive of environmental labels here, most of which correspond to uncharacterized proteins, are a useful starting point for the discovery of important environment signals and the development of possible diagnostic interventions.
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Affiliation(s)
- Helen Park
- Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China
- EPSRC/BBSRC Future Biomanufacturing Research Hub, EPSRC Synthetic Biology Research Centre SYNBIOCHEM Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Marcin P. Joachimiak
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Sean P. Jungbluth
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Ziming Yang
- Computational Science Initiative, Brookhaven National Laboratory, Upton, New York, USA
| | - William J. Riehl
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - R. Shane Canon
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Adam P. Arkin
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- Department of Bioengineering, University of California, Berkeley, California, USA
| | - Paramvir S. Dehal
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Grasso G, Bianciotto V, Marmeisse R. Paleomicrobiology: Tracking the past microbial life from single species to entire microbial communities. Microb Biotechnol 2024; 17:e14390. [PMID: 38227345 PMCID: PMC10832523 DOI: 10.1111/1751-7915.14390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 11/04/2023] [Accepted: 12/10/2023] [Indexed: 01/17/2024] Open
Abstract
By deciphering information encoded in degraded ancient DNA extracted from up to million-years-old samples, molecular paleomicrobiology enables to objectively retrace the temporal evolution of microbial species and communities. Assembly of full-length genomes of ancient pathogen lineages allows not only to follow historical epidemics in space and time but also to identify the acquisition of genetic features that represent landmarks in the evolution of the host-microbe interaction. Analysis of microbial community DNA extracted from essentially human paleo-artefacts (paleofeces, dental calculi) evaluates the relative contribution of diet, lifestyle and geography on the taxonomic and functional diversity of these guilds in which have been identified species that may have gone extinct in today's human microbiome. As for non-host-associated environmental samples, such as stratified sediment cores, analysis of their DNA illustrates how and at which pace microbial communities are affected by local or widespread environmental disturbance. Description of pre-disturbance microbial diversity patterns can aid in evaluating the relevance and effectiveness of remediation policies. We finally discuss how recent achievements in paleomicrobiology could contribute to microbial biotechnology in the fields of medical microbiology and food science to trace the domestication of microorganisms used in food processing or to illustrate the historic evolution of food processing microbial consortia.
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Affiliation(s)
- Gianluca Grasso
- Dipartimento di Scienze della Vita e Biologia dei SistemiUniversità degli Studi of TurinTurinItaly
- Institut Systématique Evolution, Biodiversité (ISYEB: UMR7205 CNRS‐MNHN‐Sorbonne Université‐EPHE‐UA)¸ Muséum National d'Histoire NaturelleParisFrance
- Institute for Sustainable Plant Protection (IPSP), SSNational Research Council (CNR)TurinItaly
| | - Valeria Bianciotto
- Institute for Sustainable Plant Protection (IPSP), SSNational Research Council (CNR)TurinItaly
| | - Roland Marmeisse
- Institut Systématique Evolution, Biodiversité (ISYEB: UMR7205 CNRS‐MNHN‐Sorbonne Université‐EPHE‐UA)¸ Muséum National d'Histoire NaturelleParisFrance
- Institute for Sustainable Plant Protection (IPSP), SSNational Research Council (CNR)TurinItaly
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5
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Lambert S, Voznica J, Morlon H. Deep Learning from Phylogenies for Diversification Analyses. Syst Biol 2023; 72:1262-1279. [PMID: 37556735 DOI: 10.1093/sysbio/syad044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 06/20/2023] [Accepted: 08/08/2023] [Indexed: 08/11/2023] Open
Abstract
Birth-death (BD) models are widely used in combination with species phylogenies to study past diversification dynamics. Current inference approaches typically rely on likelihood-based methods. These methods are not generalizable, as a new likelihood formula must be established each time a new model is proposed; for some models, such a formula is not even tractable. Deep learning can bring solutions in such situations, as deep neural networks can be trained to learn the relation between simulations and parameter values as a regression problem. In this paper, we adapt a recently developed deep learning method from pathogen phylodynamics to the case of diversification inference, and we extend its applicability to the case of the inference of state-dependent diversification models from phylogenies associated with trait data. We demonstrate the accuracy and time efficiency of the approach for the time-constant homogeneous BD model and the Binary-State Speciation and Extinction model. Finally, we illustrate the use of the proposed inference machinery by reanalyzing a phylogeny of primates and their associated ecological role as seed dispersers. Deep learning inference provides at least the same accuracy as likelihood-based inference while being faster by several orders of magnitude, offering a promising new inference approach for the deployment of future models in the field.
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Affiliation(s)
- Sophia Lambert
- Institut de Biologie de l'École Normale Supérieure, École Normale Supérieure, CNRS, INSERM, Université Paris Sciences et Lettres, 46 Rue d'Ulm, 75005 Paris, France
- Institute of Ecology and Evolution, Department of Biology, 5289 University of Oregon, Eugene, OR 97403, USA
| | - Jakub Voznica
- Institut Pasteur, Université Paris Cité, Unité Bioinformatique Evolutive, 25-28 Rue du Dr Roux, 75015 Paris, France
- Unité de Biologie Computationnelle, USR 3756 CNRS, 25-28 Rue du Dr Roux, 75015 Paris, France
| | - Hélène Morlon
- Institut de Biologie de l'École Normale Supérieure, École Normale Supérieure, CNRS, INSERM, Université Paris Sciences et Lettres, 46 Rue d'Ulm, 75005 Paris, France
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6
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Tytgat B, Verleyen E, Sweetlove M, Van den Berge K, Pinseel E, Hodgson DA, Chown SL, Sabbe K, Wilmotte A, Willems A, Vyverman W. Polar lake microbiomes have distinct evolutionary histories. SCIENCE ADVANCES 2023; 9:eade7130. [PMID: 37976353 PMCID: PMC10656066 DOI: 10.1126/sciadv.ade7130] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 10/19/2023] [Indexed: 11/19/2023]
Abstract
Toward the poles, life on land is increasingly dominated by microorganisms, yet the evolutionary origin of polar microbiomes remains poorly understood. Here, we use metabarcoding of Arctic, sub-Antarctic, and Antarctic lacustrine benthic microbial communities to test the hypothesis that high-latitude microbiomes are recruited from a globally dispersing species pool through environmental selection. We demonstrate that taxonomic overlap between the regions is limited within most phyla, even at higher-order taxonomic levels, with unique deep-branching phylogenetic clades being present in each region. We show that local and regional taxon richness and net diversification rate of regionally restricted taxa differ substantially between polar regions in both microeukaryotic and bacterial biota. This suggests that long-term evolutionary divergence resulting from low interhemispheric dispersal and diversification in isolation has been a prominent process shaping present-day polar lake microbiomes. Our findings illuminate the distinctive biogeography of polar lake ecosystems and underscore that conservation efforts should include their unique microbiota.
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Affiliation(s)
- Bjorn Tytgat
- Laboratory of Protistology and Aquatic Ecology, Ghent University, Gent, Belgium
| | - Elie Verleyen
- Laboratory of Protistology and Aquatic Ecology, Ghent University, Gent, Belgium
| | - Maxime Sweetlove
- Laboratory of Protistology and Aquatic Ecology, Ghent University, Gent, Belgium
| | - Koen Van den Berge
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, Belgium
| | - Eveline Pinseel
- Laboratory of Protistology and Aquatic Ecology, Ghent University, Gent, Belgium
- Meise Botanic Garden, Meise, Belgium
| | - Dominic A. Hodgson
- British Antarctic Survey, Natural Environment Research Council, Cambridge, UK
- Department of Geography, Durham University, Durham, UK
| | - Steven L. Chown
- Securing Antarctica’s Environmental Future, School of Biological Sciences, Monash University, Melbourne, VIC, Australia
| | - Koen Sabbe
- Laboratory of Protistology and Aquatic Ecology, Ghent University, Gent, Belgium
| | - Annick Wilmotte
- InBio-Centre for Protein Engineering, University of Liège, Liège, Belgium
| | - Anne Willems
- Laboratory of Microbiology, Ghent University, Gent, Belgium
| | | | - Wim Vyverman
- Laboratory of Protistology and Aquatic Ecology, Ghent University, Gent, Belgium
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7
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Vos M, Padfield D, Quince C, Vos R. Adaptive radiations in natural populations of prokaryotes: innovation is key. FEMS Microbiol Ecol 2023; 99:fiad154. [PMID: 37996397 PMCID: PMC10710302 DOI: 10.1093/femsec/fiad154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/08/2023] [Accepted: 11/22/2023] [Indexed: 11/25/2023] Open
Abstract
Prokaryote diversity makes up most of the tree of life and is crucial to the functioning of the biosphere and human health. However, the patterns and mechanisms of prokaryote diversification have received relatively little attention compared to animals and plants. Adaptive radiation, the rapid diversification of an ancestor species into multiple ecologically divergent species, is a fundamental process by which macrobiological diversity is generated. Here, we discuss whether ecological opportunity could lead to similar bursts of diversification in bacteria. We explore how adaptive radiations in prokaryotes can be kickstarted by horizontally acquired key innovations allowing lineages to invade new niche space that subsequently is partitioned among diversifying specialist descendants. We discuss how novel adaptive zones are colonized and exploited after the evolution of a key innovation and whether certain types of are more prone to adaptive radiation. Radiation into niche specialists does not necessarily lead to speciation in bacteria when barriers to recombination are absent. We propose that in this scenario, niche-specific genes could accumulate within a single lineage, leading to the evolution of an open pangenome.
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Affiliation(s)
- Michiel Vos
- European Centre for Environment and Human Health, University of Exeter Medical School, Environment and Sustainability Institute, Treliever Road, Penryn Campus, Penryn, TR10 9FE, United Kingdom
- Environment and Sustainability Institute, University of Exeter, Treliever Road, Penryn Campus, Penryn, TR10 9FE, United Kingdom
| | - Daniel Padfield
- European Centre for Environment and Human Health, University of Exeter Medical School, Environment and Sustainability Institute, Treliever Road, Penryn Campus, Penryn, TR10 9FE, United Kingdom
- Environment and Sustainability Institute, University of Exeter, Treliever Road, Penryn Campus, Penryn, TR10 9FE, United Kingdom
| | - Christopher Quince
- Organisms and Ecosystems, Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom
- Gut Microbes and Health, Quadram Institute, Norwich Research Park, Norwich NR4 7UQ, United Kingdom
| | - Rutger Vos
- Naturalis Biodiversity Center, Understanding Evolution, Darwinweg 2, Leiden 2333 CR, the Netherlands
- Institute of Biology Leiden, Leiden University, Sylviusweg 72, Leiden 2333 BE, the Netherlands
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8
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Jurdzinski KT, Mehrshad M, Delgado LF, Deng Z, Bertilsson S, Andersson AF. Large-scale phylogenomics of aquatic bacteria reveal molecular mechanisms for adaptation to salinity. SCIENCE ADVANCES 2023; 9:eadg2059. [PMID: 37235649 PMCID: PMC10219603 DOI: 10.1126/sciadv.adg2059] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 04/21/2023] [Indexed: 05/28/2023]
Abstract
The crossing of environmental barriers poses major adaptive challenges. Rareness of freshwater-marine transitions separates the bacterial communities, but how these are related to brackish counterparts remains elusive, as do the molecular adaptations facilitating cross-biome transitions. We conducted large-scale phylogenomic analysis of freshwater, brackish, and marine quality-filtered metagenome-assembled genomes (11,248). Average nucleotide identity analyses showed that bacterial species rarely existed in multiple biomes. In contrast, distinct brackish basins cohosted numerous species, but their intraspecific population structures displayed clear signs of geographic separation. We further identified the most recent cross-biome transitions, which were rare, ancient, and most commonly directed toward the brackish biome. Transitions were accompanied by systematic changes in amino acid composition and isoelectric point distributions of inferred proteomes, which evolved over millions of years, as well as convergent gains or losses of specific gene functions. Therefore, adaptive challenges entailing proteome reorganization and specific changes in gene content constrains the cross-biome transitions, resulting in species-level separation between aquatic biomes.
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Affiliation(s)
- Krzysztof T. Jurdzinski
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Maliheh Mehrshad
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Luis Fernando Delgado
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Ziling Deng
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Stefan Bertilsson
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Anders F. Andersson
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
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9
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Liow LH, Uyeda J, Hunt G. Cross-disciplinary information for understanding macroevolution. Trends Ecol Evol 2023; 38:250-260. [PMID: 36456381 DOI: 10.1016/j.tree.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/30/2022]
Abstract
Many different macroevolutionary models can produce the same observations. Despite efforts in building more complex and realistic models, it may still be difficult to distinguish the processes that have generated the biodiversity we observe. In this opinion we argue that we can make new progress by reaching out across disciplines, relying on independent data and theory to constrain macroevolutionary inference. Using mainly paleontological insights and data, we illustrate how we can eliminate less plausible or implausible models, and/or parts of parameter space, while applying comparative phylogenetic approaches. We emphasize that such cross-disciplinary insights and data can be drawn between many other disciplines relevant to macroevolution. We urge cross-disciplinary training, and collaboration using common-use databases as a platform for increasing our understanding.
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Affiliation(s)
- Lee Hsiang Liow
- Natural History Museum, University of Oslo, Oslo 0562, Norway.
| | - Josef Uyeda
- Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Gene Hunt
- Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20560, USA
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10
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Martoni F, Bulman SR, Piper AM, Pitman A, Taylor GS, Armstrong KF. Insect phylogeny structures the bacterial communities in the microbiome of psyllids (Hemiptera: Psylloidea) in Aotearoa New Zealand. PLoS One 2023; 18:e0285587. [PMID: 37186593 PMCID: PMC10184942 DOI: 10.1371/journal.pone.0285587] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 04/27/2023] [Indexed: 05/17/2023] Open
Abstract
The bacterial microbiome of psyllids has been studied for decades, with a strong focus on the primary and secondary endosymbionts capable of providing essential amino acids for the insects' diet and therefore playing a key role in the insects' ability to radiate on novel plant hosts. Here, we combine metabarcoding analysis of the bacterial communities hosted by psyllids with a multi-gene phylogenetic analysis of the insect hosts to determine what factors influence the bacterial diversity of the psyllids' microbiomes, especially in the context of the dispersal and evolutionary radiation of these insects in Aotearoa New Zealand. Using multi-gene phylogenetics with COI, 18S and EF-1α sequences from 102 psyllid species, we confirmed for the first time monophyly for all the six genera of native/endemic Aotearoa New Zealand psyllids, with indications that they derive from at least six dispersal events to the country. This also revealed that, after its ancestral arrival, the genus Powellia has radiated onto a larger and more diverse range of plants than either Psylla or Ctenarytaina, which is uncommon amongst monophyletic psyllids globally. DNA metabarcoding of the bacterial 16S gene here represents the largest dataset analysed to date from psyllids, including 246 individuals from 73 species. This provides novel evidence that bacterial diversity across psyllid species is strongly associated with psyllid phylogenetic structure, and to a lesser degree to their host plant association and geographic distribution. Furthermore, while the strongest co-phylogenetic signals were derived from the primary and secondary symbionts, a signal of phylosymbiosis was still retained among the remaining taxa of the bacterial microbiome, suggesting potential vertical transmission of bacterial lineages previously unknown to have symbiotic roles.
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Affiliation(s)
- Francesco Martoni
- Bio-Protection Research Centre, Lincoln University, Lincoln, New Zealand
- Plant Biosecurity Cooperative Research Centre, University of Canberra, Canberra, ACT, Australia
- Agriculture Victoria, AgriBio Centre, Bundoora, VIC, Australia
| | - Simon R Bulman
- The New Zealand Institute for Plant & Food Research Ltd, Lincoln, New Zealand
- Better Border Biosecurity (B3), Lincoln, New Zealand
| | | | - Andrew Pitman
- Better Border Biosecurity (B3), Lincoln, New Zealand
- Foundation of Arable Research, Hornby, Christchurch, New Zealand
| | - Gary S Taylor
- The University of Adelaide, Adelaide, South Australia
| | - Karen F Armstrong
- Bio-Protection Research Centre, Lincoln University, Lincoln, New Zealand
- Plant Biosecurity Cooperative Research Centre, University of Canberra, Canberra, ACT, Australia
- Better Border Biosecurity (B3), Lincoln, New Zealand
- Agricultural and Life Sciences Faculty, Lincoln University, Lincoln, New Zealand
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11
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Höhna S, Kopperud BT, Magee AF. CRABS: Congruent rate analyses in birth–death scenarios. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Sebastian Höhna
- GeoBio‐Center LMU Ludwig‐Maximilians‐Universität München Munich Germany
- Department of Earth and Environmental Sciences, Paleontology & Geobiology Ludwig‐Maximilians‐Universität München Munich Germany
| | - Bjørn T. Kopperud
- GeoBio‐Center LMU Ludwig‐Maximilians‐Universität München Munich Germany
- Department of Earth and Environmental Sciences, Paleontology & Geobiology Ludwig‐Maximilians‐Universität München Munich Germany
| | - Andrew F. Magee
- Department of Human Genetics University of California Los Angeles California USA
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12
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Wise IJ, Borry P. An Ethical Overview of the CRISPR-Based Elimination of Anopheles gambiae to Combat Malaria. JOURNAL OF BIOETHICAL INQUIRY 2022; 19:371-380. [PMID: 35175513 PMCID: PMC9463432 DOI: 10.1007/s11673-022-10172-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/02/2021] [Indexed: 05/07/2023]
Abstract
Approximately a quarter of a billion people around the world suffer from malaria each year. Most cases are located in sub-Saharan Africa where Anopheles gambiae mosquitoes are the principal vectors of this public health problem. With the use of CRISPR-based gene drives, the population of mosquitoes can be modified, eventually causing their extinction. First, we discuss the moral status of the organism and argue that using genetically modified mosquitoes to combat malaria should not be abandoned based on some moral value of A. gambiae. Secondly, we argue that environmental impact studies should be performed to obtain an accurate account of the possible effects of a potential eradication of the organism. However, the risks from the purposeful extinction of A. gambiae should not overtake the benefits of eradicating malaria and risk assessments should be used to determine acceptable risks. Thirdly, we argue that the eventual release of the genetically modified mosquitoes will depend on transparency, community involvement, and cooperation between different nations.
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Affiliation(s)
- India Jane Wise
- Centre for Biomedical Ethics and Law (CBMER), Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven, Kapucijnenvoer 35 Box, 7001 3000 Leuven, Belgium
| | - Pascal Borry
- Centre for Biomedical Ethics and Law (CBMER), Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven, Kapucijnenvoer 35 Box, 7001 3000 Leuven, Belgium
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13
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Tricou T, Tannier E, de Vienne DM. Ghost lineages can invalidate or even reverse findings regarding gene flow. PLoS Biol 2022; 20:e3001776. [PMID: 36103518 PMCID: PMC9473628 DOI: 10.1371/journal.pbio.3001776] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Introgression, endosymbiosis, and gene transfer, i.e., horizontal gene flow (HGF), are primordial sources of innovation in all domains of life. Our knowledge on HGF relies on detection methods that exploit some of its signatures left on extant genomes. One of them is the effect of HGF on branch lengths of constructed phylogenies. This signature has been formalized in statistical tests for HGF detection and used for example to detect massive adaptive gene flows in malaria vectors or to order evolutionary events involved in eukaryogenesis. However, these studies rely on the assumption that ghost lineages (all unsampled extant and extinct taxa) have little influence. We demonstrate here with simulations and data reanalysis that when considering the more realistic condition that unsampled taxa are legion compared to sampled ones, the conclusion of these studies become unfounded or even reversed. This illustrates the necessity to recognize the existence of ghosts in evolutionary studies.
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Affiliation(s)
- Théo Tricou
- Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France
| | - Eric Tannier
- Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France
- INRIA Grenoble Rhône-Alpes, F-38334 Montbonnot, France
| | - Damien M. de Vienne
- Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, F-69622 Villeurbanne, France
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14
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Leducq JB, Sneddon D, Santos M, Condrain-Morel D, Bourret G, Cecilia Martinez-Gomez N, Lee JA, Foster JA, Stolyar S, Jesse Shapiro B, Kembel SW, Sullivan JM, Marx CJ. Comprehensive phylogenomics of Methylobacterium reveals four evolutionary distinct groups and underappreciated phyllosphere diversity. Genome Biol Evol 2022; 14:6652236. [PMID: 35906926 PMCID: PMC9364378 DOI: 10.1093/gbe/evac123] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Methylobacterium is a group of methylotrophic microbes associated with soil, fresh water, and particularly the phyllosphere, the aerial part of plants that has been well-studied in terms of physiology but whose evolutionary history and taxonomy are unclear. Recent work has suggested that Methylobacterium is much more diverse than thought previously, questioning its status as an ecologically and phylogenetically coherent taxonomic genus. However, taxonomic and evolutionary studies of Methylobacterium have mostly been restricted to model species, often isolated from habitats other than the phyllosphere, and have yet to utilize comprehensive phylogenomic methods to examine gene trees, gene content, or synteny. By analyzing 189 Methylobacterium genomes from a wide range of habitats, including the phyllosphere, we inferred a robust phylogenetic tree while explicitly accounting for the impact of horizontal gene transfer. We showed that Methylobacterium contains four evolutionarily distinct groups of bacteria (namely A, B, C, D), characterized by different genome size, GC content, gene content and genome architecture, revealing the dynamic nature of Methylobacterium genomes. In addition to recovering 59 described species, we identified 45 candidate species, mostly phyllosphere-associated, stressing the significance of plants as a reservoir of Methylobacterium diversity. We inferred an ancient transition from a free-living lifestyle to association with plant roots in Methylobacteriaceae ancestor, followed by phyllosphere association of three of the major groups (A, B, D), whose early branching in Methylobacterium history has been heavily obscured by HGT. Together, our work lays the foundations for a thorough redefinition of Methylobacterium taxonomy, beginning with the abandonment of Methylorubrum.
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Affiliation(s)
- Jean-Baptiste Leducq
- Université Laval - Quebec City (QC) Canada.,University of Idaho - Moscow (ID) US
| | | | | | | | | | | | | | | | | | - B Jesse Shapiro
- Université de Montréal - Montreal (QC) Canada.,McGill University - Montreal (QC) Canada
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15
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Guryanova SV. Regulation of Immune Homeostasis via Muramyl Peptides-Low Molecular Weight Bioregulators of Bacterial Origin. Microorganisms 2022; 10:1526. [PMID: 36013944 PMCID: PMC9413341 DOI: 10.3390/microorganisms10081526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 12/10/2022] Open
Abstract
Metabolites and fragments of bacterial cells play an important role in the formation of immune homeostasis. Formed in the course of evolution, symbiotic relationships between microorganisms and a macroorganism are manifested, in particular, in the regulation of numerous physiological functions of the human body by the innate immunity receptors. Low molecular weight bioregulators of bacterial origin have recently attracted more and more attention as drugs in the prevention and composition of complex therapy for a wide range of diseases of bacterial and viral etiology. Signaling networks show cascades of causal relationships of deterministic phenomena that support the homeostasis of multicellular organisms at different levels. To create networks, data from numerous biomedical and clinical research databases were used to prepare expert systems for use in pharmacological and biomedical research with an emphasis on muramyl dipeptides. Muramyl peptides are the fragments of the cell wall of Gram-positive and Gram-negative bacteria. Binding of muramyl peptides with intracellular NOD2 receptors is crucial for an immune response on pathogens. Depending on the microenvironment and duration of action, muramyl peptides possess positive or negative regulation of inflammation. Other factors, such as genetic, pollutions, method of application and stress also contribute and should be taken into account. A system biology approach should be used in order to systemize all experimental data for rigorous analysis, with the aim of understanding intrinsic pathways of homeostasis, in order to define precise medicine therapy and drug design.
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Affiliation(s)
- Svetlana V Guryanova
- Medical Institute, Peoples' Friendship University of Russia (RUDN University) of the Ministry of Science and Higher Education of the Russian Federation, 117198 Moscow, Russia
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16
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Gao Y, Wu M. Microbial genomic trait evolution is dominated by frequent and rare pulsed evolution. SCIENCE ADVANCES 2022; 8:eabn1916. [PMID: 35857501 PMCID: PMC9286504 DOI: 10.1126/sciadv.abn1916] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 06/02/2022] [Indexed: 06/12/2023]
Abstract
On the macroevolutionary time scale, does trait evolution proceed gradually or by rapid bursts (pulses) separated by prolonged periods of stasis or slow evolution? Although studies have shown that pulsed evolution is prevalent in animals, our knowledge about the tempo and mode of evolution across the tree of life is very limited. This long-standing debate calls for a test in bacteria and archaea, the most ancient and diverse forms of life with unique population genetic properties. Using a likelihood-based framework, we show that pulsed evolution is not only present but also prevalent and predominant in microbial genomic trait evolution. We detected two distinct types of pulsed evolution (small frequent and large rare jumps) that are predicted by the punctuated equilibrium and quantum evolution theories. Our findings suggest that major bacterial lineages could have originated in quick bursts and that pulsed evolution is a common theme across the tree of life.
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Affiliation(s)
- Yingnan Gao
- Department of Biology, University of Virginia, Charlottesville, VA 22094, USA
| | - Martin Wu
- Department of Biology, University of Virginia, Charlottesville, VA 22094, USA
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17
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Louca S, Henao-Diaz LF, Pennell M. The scaling of diversification rates with age is likely explained by sampling bias. Evolution 2022; 76:1625-1637. [PMID: 35567800 DOI: 10.1111/evo.14515] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 04/07/2022] [Indexed: 01/22/2023]
Abstract
Numerous phylogenetic studies reported the existence of a pervasive scaling relationship between the ages of extant eukaryotic clades and their estimated diversification rates. The causes of this age-rate-scaling (ARS), whether biological and/or artifactual, remain unresolved. Here we fit diversification models to thousands of eukaryotic time-calibrated phylogenies to explore multiple potential causes of the ARS including parameter non-identifiability, model inadequacy, biases in taxonomic practice, and an important and ubiquitous form of sampling bias-preferentially analyzing larger extant clades. We distinguish between two mechanism by which such sampling biases can cause an ARS: First, by favoring clades that happen to be unusually large merely by chance (i.e., due to the stochastic nature of the cladogenic process), thus leading to rate overestimation, and second, by favoring clades that have truly higher diversification rates. We find that, of the proposed explanations, only sampling biases are likely to contribute to the observed ARS. We develop methods for fully correcting for sampling bias mechanism 1, and find that despite these corrections a substantial ARS remains. We then confirm using simulations that preferring trees with truly higher rates (mechanism 2) likely explains this residual ARS. Since we do not have a completely unbiased sample of clades, including extinct ones, for phylogenetic analyses, it is difficult to demonstrate unambiguously that sampling biases are the sole cause of the ARS. Sampling biases are, however, a parsimonious and plausible explanation for this widely observed macroevolutionary pattern, and this has implications for how we interpret the distribution of diversification rate estimates in extant clades.
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Affiliation(s)
- Stilianos Louca
- Department of Biology, University of Oregon, Eugene, OR, USA.,Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA
| | - L Francisco Henao-Diaz
- Biodiversity Research Centre, University of British Columbia, Vancouver, Canada.,Department of Zoology, University of British Columbia, Vancouver, Canada
| | - Matt Pennell
- Biodiversity Research Centre, University of British Columbia, Vancouver, Canada.,Department of Zoology, University of British Columbia, Vancouver, Canada
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18
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Louca S. The rates of global bacterial and archaeal dispersal. THE ISME JOURNAL 2022; 16:159-167. [PMID: 34282284 PMCID: PMC8692594 DOI: 10.1038/s41396-021-01069-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 06/28/2021] [Accepted: 07/12/2021] [Indexed: 02/07/2023]
Abstract
The phylogenetic resolution at which microorganisms display geographic endemism, the rates at which they disperse at global scales, and the role of humans on global microbial dispersal are largely unknown. Answering these questions is necessary for interpreting microbial biogeography, ecology, and macroevolution and for predicting the spread of emerging pathogenic strains. To resolve these questions, I analyzed the geographic and evolutionary relationships between 36,795 bacterial and archaeal ("prokaryotic") genomes from ∼7000 locations around the world. I find clear signs of continental-scale endemism, including strong correlations between phylogenetic divergence and geographic distance. However, the phylogenetic scale at which endemism generally occurs is extremely small, and most "species" (defined by an average nucleotide identity ≥ 95%) and even closely related strains (average nucleotide identity ≥ 99.9%) are globally distributed. Human-associated lineages display faster dispersal rates than other terrestrial lineages; the average net distance between any two human-associated cell lineages diverging 50 years ago is roughly 580 km. These results suggest that many previously reported global-scale microbial biogeographical patterns are likely the result of recent or current environmental filtering rather than geographic endemism. For human-associated lineages, estimated transition rates between Europe and North America are particularly high, and much higher than for non-human associated terrestrial lineages, highlighting the role that human movement plays in global microbial dispersal. Dispersal was slowest for hot spring- and terrestrial subsurface-associated lineages, indicating that these environments may act as "isolated islands" of microbial evolution.
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Affiliation(s)
- Stilianos Louca
- Department of Biology, University of Oregon, Eugene, OR, USA.
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
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19
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Upham NS, Esselstyn JA, Jetz W. Molecules and fossils tell distinct yet complementary stories of mammal diversification. Curr Biol 2021; 31:4195-4206.e3. [PMID: 34329589 DOI: 10.1016/j.cub.2021.07.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 05/05/2021] [Accepted: 07/07/2021] [Indexed: 11/25/2022]
Abstract
Reconstructing the tempo at which biodiversity arose is a fundamental goal of evolutionary biologists, yet the relative merits of evolutionary-rate estimates are debated based on whether they are derived from the fossil record or time-calibrated phylogenies (timetrees) of living species. Extinct lineages unsampled in timetrees are known to "pull" speciation rates downward, but the temporal scale at which this bias matters is unclear. To investigate this problem, we compare mammalian diversification-rate signatures in a credible set of molecular timetrees (n = 5,911 species, ∼70% from DNA) to those in fossil genus durations (n = 5,320). We use fossil extinction rates to correct or "push" the timetree-based (pulled) speciation-rate estimates, finding a surge of speciation during the Paleocene (∼66-56 million years ago, Ma) between the Cretaceous-Paleogene (K-Pg) boundary and the Paleocene-Eocene Thermal Maximum (PETM). However, about two-thirds of the K-Pg-to-PETM originating taxa did not leave modern descendants, indicating that this rate signature is likely undetectable from extant lineages alone. For groups without substantial fossil records, thankfully all is not lost. Pushed and pulled speciation rates converge starting ∼10 Ma and are equal at the present day when recent evolutionary processes can be estimated without bias using species-specific "tip" rates of speciation. Clade-wide moments of tip rates also enable enriched inference, as the skewness of tip rates is shown to approximate a clade's extent of past diversification-rate shifts. Molecular timetrees need fossil-correction to address deep-time questions, but they are sufficient for shallower time questions where extinctions are fewer.
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Affiliation(s)
- Nathan S Upham
- Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT 06511, USA; School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
| | - Jacob A Esselstyn
- Department of Biological Sciences and Museum of Natural Science, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Walter Jetz
- Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT 06511, USA.
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20
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Helmstetter AJ, Glemin S, Käfer J, Zenil-Ferguson R, Sauquet H, de Boer H, Dagallier LPMJ, Mazet N, Reboud EL, Couvreur TLP, Condamine FL. Pulled Diversification Rates, Lineages-Through-Time Plots and Modern Macroevolutionary Modelling. Syst Biol 2021; 71:758-773. [PMID: 34613395 PMCID: PMC9016617 DOI: 10.1093/sysbio/syab083] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 11/29/2022] Open
Abstract
Estimating time-dependent rates of speciation and extinction from dated phylogenetic trees of extant species (timetrees), and determining how and why they vary, is key to understanding how ecological and evolutionary processes shape biodiversity. Due to an increasing availability of phylogenetic trees, a growing number of process-based methods relying on the birth–death model have been developed in the last decade to address a variety of questions in macroevolution. However, this methodological progress has regularly been criticized such that one may wonder how reliable the estimations of speciation and extinction rates are. In particular, using lineages-through-time (LTT) plots, a recent study has shown that there are an infinite number of equally likely diversification scenarios that can generate any timetree. This has led to questioning whether or not diversification rates should be estimated at all. Here, we summarize, clarify, and highlight technical considerations on recent findings regarding the capacity of models to disentangle diversification histories. Using simulations, we illustrate the characteristics of newly proposed “pulled rates” and their utility. We recognize that the recent findings are a step forward in understanding the behavior of macroevolutionary modeling, but they in no way suggest we should abandon diversification modeling altogether. On the contrary, the study of macroevolution using phylogenetic trees has never been more exciting and promising than today. We still face important limitations in regard to data availability and methods, but by acknowledging them we can better target our joint efforts as a scientific community. [Birth–death models; extinction; phylogenetics; speciation.]
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Affiliation(s)
- Andrew J Helmstetter
- Fondation pour la Recherche sur la Biodiversité - Centre for the Synthesis and Analysis of Biodiversity, 34000 Montpellier, France
| | - Sylvain Glemin
- CNRS, Ecosystmes Biodiversit Evolution (Universit de Rennes), 35000 Rennes, France
| | - Jos Käfer
- Universit de Lyon, Universit Lyon 1, CNRS, Laboratoire de Biomtrie et Biologie Evolutive UMR 5558, F-69622 Villeurbanne, France
| | | | - Herv Sauquet
- National Herbarium of New South Wales, Royal Botanic Gardens and Domain Trust, Sydney, New South Wales, 2000, Australia.,Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Hugo de Boer
- Natural History Museum, University of Oslo, 0318 Oslo, Norway
| | | | - Nathan Mazet
- CNRS, Institut des Sciences de l'Evolution de Montpellier (Universit de Montpellier), Place Eugne Bataillon, 34095 Montpellier, France
| | - Eliette L Reboud
- CNRS, Institut des Sciences de l'Evolution de Montpellier (Universit de Montpellier), Place Eugne Bataillon, 34095 Montpellier, France
| | | | - Fabien L Condamine
- CNRS, Institut des Sciences de l'Evolution de Montpellier (Universit de Montpellier), Place Eugne Bataillon, 34095 Montpellier, France
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21
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Ward LM, Li-Hau F, Kakegawa T, McGlynn SE. Complex History of Aerobic Respiration and Phototrophy in the Chloroflexota Class Anaerolineae Revealed by High-Quality Draft Genome of Ca. Roseilinea mizusawaensis AA3_104. Microbes Environ 2021; 36. [PMID: 34470945 PMCID: PMC8446752 DOI: 10.1264/jsme2.me21020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Roseilinea is a novel lineage of Chloroflexota known only from incomplete metagenome-assembled genomes (MAGs) and preliminary enrichments. Roseilinea is notable for appearing capable of anoxygenic photoheterotrophy despite being only distantly related to well-known phototrophs in the Chloroflexia class such as Chloroflexus and Roseiflexus. Here, we present a high-quality MAG of a member of Roseilinea, improving our understanding of the metabolic capacity and phylogeny of this genus, and resolving the multiple instances of horizontal gene transfer that have led to its metabolic potential. These data allow us to propose a candidate family for these organisms, Roseilineaceae, within the Anaerolineae class.
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Affiliation(s)
- Lewis M Ward
- Department of Earth and Planetary Sciences, Harvard University.,Earth-Life Science Institute, Tokyo Institute of Technology
| | - Fátima Li-Hau
- Earth-Life Science Institute, Tokyo Institute of Technology
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22
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San Roman M, Wagner A. Diversity begets diversity during community assembly until ecological limits impose a diversity ceiling. Mol Ecol 2021; 30:5874-5887. [PMID: 34478597 PMCID: PMC9293205 DOI: 10.1111/mec.16161] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/17/2021] [Accepted: 08/20/2021] [Indexed: 12/20/2022]
Abstract
Microbial communities are hugely diverse, but we do not yet understand how species invasions and extinctions drive and limit their diversity. On the one hand, the ecological limits hypothesis posits that diversity is primarily limited by environmental resources. On the other hand, the diversity‐begets‐diversity hypothesis posits that such limits can be easily lifted when new ecological niches are created by biotic interactions. To find out which hypothesis better explains the assembly of microbial communities, we used metabolic modelling. We represent each microbial species by a metabolic network that harbours thousands of biochemical reactions. Together, these reactions determine which carbon and energy sources a species can use, and which metabolic by‐products—potential nutrients for other species—it can excrete in a given environment. We assemble communities by modelling thousands of species invasions in a chemostat‐like environment. We find that early during the assembly process, diversity begets diversity. By‐product excretion transforms a simple environment into one that can sustain dozens of species. During later assembly stages, the creation of new niches slows down, existing niches become filled, successful invasions become rare, and species diversity plateaus. Thus, ecological limitations dominate the late assembly process. We conclude that each hypothesis captures a different stage of the assembly process. Species interactions can raise a community's diversity ceiling dramatically, but only within limits imposed by the environment.
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Affiliation(s)
- Magdalena San Roman
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Andreas Wagner
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland.,The Santa Fe Institute, Santa Fe, NM, USA.,Stellenbosch Institute for Advanced Study, Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa
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23
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Calland JK, Pascoe B, Bayliss SC, Mourkas E, Berthenet E, Thorpe HA, Hitchings MD, Feil EJ, Corander J, Blaser MJ, Falush D, Sheppard SK. Quantifying bacterial evolution in the wild: A birthday problem for Campylobacter lineages. PLoS Genet 2021; 17:e1009829. [PMID: 34582435 PMCID: PMC8500405 DOI: 10.1371/journal.pgen.1009829] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/08/2021] [Accepted: 09/20/2021] [Indexed: 11/20/2022] Open
Abstract
Measuring molecular evolution in bacteria typically requires estimation of the rate at which nucleotide changes accumulate in strains sampled at different times that share a common ancestor. This approach has been useful for dating ecological and evolutionary events that coincide with the emergence of important lineages, such as outbreak strains and obligate human pathogens. However, in multi-host (niche) transmission scenarios, where the pathogen is essentially an opportunistic environmental organism, sampling is often sporadic and rarely reflects the overall population, particularly when concentrated on clinical isolates. This means that approaches that assume recent common ancestry are not applicable. Here we present a new approach to estimate the molecular clock rate in Campylobacter that draws on the popular probability conundrum known as the 'birthday problem'. Using large genomic datasets and comparative genomic approaches, we use isolate pairs that share recent common ancestry to estimate the rate of nucleotide change for the population. Identifying synonymous and non-synonymous nucleotide changes, both within and outside of recombined regions of the genome, we quantify clock-like diversification to estimate synonymous rates of nucleotide change for the common pathogenic bacteria Campylobacter coli (2.4 x 10-6 s/s/y) and Campylobacter jejuni (3.4 x 10-6 s/s/y). Finally, using estimated total rates of nucleotide change, we infer the number of effective lineages within the sample time frame-analogous to a shared birthday-and assess the rate of turnover of lineages in our sample set over short evolutionary timescales. This provides a generalizable approach to calibrating rates in populations of environmental bacteria and shows that multiple lineages are maintained, implying that large-scale clonal sweeps may take hundreds of years or more in these species.
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Affiliation(s)
- Jessica K. Calland
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
| | - Ben Pascoe
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
| | - Sion C. Bayliss
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
| | - Evangelos Mourkas
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
| | - Elvire Berthenet
- French National Reference Center for Campylobacters and Helicobacters, University of Bordeaux, Bordeaux, France
- Institute of Life Sciences, Swansea University Medical School, Swansea University, Singleton Park, Swansea, United Kingdom
| | - Harry A. Thorpe
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
- Department of Biostatistics, University of Oslo, Oslo, Norway
| | - Matthew D. Hitchings
- Institute of Life Sciences, Swansea University Medical School, Swansea University, Singleton Park, Swansea, United Kingdom
| | - Edward J. Feil
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
| | - Jukka Corander
- Department of Biostatistics, University of Oslo, Oslo, Norway
- Department of Mathematics and Statistics, Helsinki Institute for Information Technology, University of Helsinki, Helsinki, Finland
- Parasites and Microbes, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Martin J. Blaser
- Center for Advanced Biotechnology and Medicine, Rutgers University, New Brunswick, New Jersey, United States of America
| | - Daniel Falush
- Centre for Microbes, Development and Health, Institute Pasteur of Shanghai, Shanghai, China
- * E-mail: (DF); (SKS)
| | - Samuel K. Sheppard
- The Milner Centre for Evolution, University of Bath, Bath, United Kingdom
- Department of Zoology, University of Oxford, Oxford, United Kingdom
- * E-mail: (DF); (SKS)
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24
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Louca S, McLaughlin A, MacPherson A, Joy JB, Pennell MW. Fundamental Identifiability Limits in Molecular Epidemiology. Mol Biol Evol 2021; 38:4010-4024. [PMID: 34009339 PMCID: PMC8382926 DOI: 10.1093/molbev/msab149] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Viral phylogenies provide crucial information on the spread of infectious diseases, and many studies fit mathematical models to phylogenetic data to estimate epidemiological parameters such as the effective reproduction ratio (Re) over time. Such phylodynamic inferences often complement or even substitute for conventional surveillance data, particularly when sampling is poor or delayed. It remains generally unknown, however, how robust phylodynamic epidemiological inferences are, especially when there is uncertainty regarding pathogen prevalence and sampling intensity. Here, we use recently developed mathematical techniques to fully characterize the information that can possibly be extracted from serially collected viral phylogenetic data, in the context of the commonly used birth-death-sampling model. We show that for any candidate epidemiological scenario, there exists a myriad of alternative, markedly different, and yet plausible "congruent" scenarios that cannot be distinguished using phylogenetic data alone, no matter how large the data set. In the absence of strong constraints or rate priors across the entire study period, neither maximum-likelihood fitting nor Bayesian inference can reliably reconstruct the true epidemiological dynamics from phylogenetic data alone; rather, estimators can only converge to the "congruence class" of the true dynamics. We propose concrete and feasible strategies for making more robust epidemiological inferences from viral phylogenetic data.
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Affiliation(s)
- Stilianos Louca
- Department of Biology, University of Oregon, Eugene, OR, USA
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA
| | - Angela McLaughlin
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
- Bioinformatics, University of British Columbia, Vancouver, BC, Canada
| | - Ailene MacPherson
- Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Jeffrey B Joy
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
- Bioinformatics, University of British Columbia, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Matthew W Pennell
- Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
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25
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Shoemaker WR, Jones SE, Muscarella ME, Behringer MG, Lehmkuhl BK, Lennon JT. Microbial population dynamics and evolutionary outcomes under extreme energy limitation. Proc Natl Acad Sci U S A 2021; 118:e2101691118. [PMID: 34385301 PMCID: PMC8379937 DOI: 10.1073/pnas.2101691118] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Microorganisms commonly inhabit energy-limited ecosystems where cellular maintenance and reproduction is highly constrained. To gain insight into how individuals persist under such conditions, we derived demographic parameters from a collection of 21 heterotrophic bacterial taxa by censusing 100 populations in an effectively closed system for 1,000 d. All but one taxon survived prolonged resource scarcity, yielding estimated times to extinction ranging over four orders of magnitude from 100 to 105 y. Our findings corroborate reports of long-lived bacteria recovered from ancient environmental samples, while providing insight into mechanisms of persistence. As death rates declined over time, lifespan was extended through the scavenging of dead cells. Although reproduction was suppressed in the absence of exogenous resources, populations continued to evolve. Hundreds of mutations were acquired, contributing to genome-wide signatures of purifying selection as well as molecular signals of adaptation. Consistent ecological and evolutionary dynamics indicate that distantly related bacteria respond to energy limitation in a similar and predictable manner, which likely contributes to the stability and robustness of microbial life.
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Affiliation(s)
- William R Shoemaker
- Department of Biology, Indiana University, Bloomington, IN, 47405;
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095
| | - Stuart E Jones
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | | | | | - Brent K Lehmkuhl
- Department of Biology, Indiana University, Bloomington, IN, 47405
| | - Jay T Lennon
- Department of Biology, Indiana University, Bloomington, IN, 47405;
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26
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Abstract
The ancestors of cyanobacteria generated Earth's first biogenic molecular oxygen, but how they dealt with oxidative stress remains unconstrained. Here we investigate when superoxide dismutase enzymes (SODs) capable of removing superoxide free radicals evolved and estimate when Cyanobacteria originated. Our Bayesian molecular clocks, calibrated with microfossils, predict that stem Cyanobacteria arose 3300-3600 million years ago. Shortly afterwards, we find phylogenetic evidence that ancestral cyanobacteria used SODs with copper and zinc cofactors (CuZnSOD) during the Archaean. By the Paleoproterozoic, they became genetically capable of using iron, nickel, and manganese as cofactors (FeSOD, NiSOD, and MnSOD respectively). The evolution of NiSOD is particularly intriguing because it corresponds with cyanobacteria's invasion of the open ocean. Our analyses of metalloenzymes dealing with reactive oxygen species (ROS) now demonstrate that marine geochemical records alone may not predict patterns of metal usage by phototrophs from freshwater and terrestrial habitats.
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27
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Louca S, Pennell MW. Why extinction estimates from extant phylogenies are so often zero. Curr Biol 2021; 31:3168-3173.e4. [PMID: 34019824 DOI: 10.1016/j.cub.2021.04.066] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/11/2021] [Accepted: 04/26/2021] [Indexed: 12/18/2022]
Abstract
Time-calibrated phylogenies of extant species ("extant timetrees") are widely used to estimate historical speciation and extinction rates by fitting stochastic birth-death models.1 These approaches have long been controversial, as many phylogenetic studies report zero extinction in many taxa, contradicting the high extinction rates seen in the fossil record and the fact that the majority of species ever to have existed are now extinct.2-9 To date, the causes of this discrepancy remain unresolved. Here, we provide a novel and simple explanation for these "zero-inflated" extinction estimates, based on the recent discovery that there exist many alternative "congruent" diversification scenarios that cannot be distinguished based solely on extant timetrees.10 Due to such congruencies, estimation methods tend to converge to some scenario congruent to (i.e., statistically indistinguishable from) the true diversification scenario, but not necessarily to the true diversification scenario itself. This congruent scenario may exhibit negative extinction rates, a biologically meaningless but mathematically feasible situation, in which case estimators will tend to stick to the boundary of zero extinction. Based on this explanation, we make multiple testable predictions, which we confirm using analyses of simulated trees and 121 empirical trees. In contrast to other proposed mechanisms for erroneous extinction rate estimates,5,11-14 our proposed mechanism specifically explains the zero inflation of previous extinction rate estimates in the absence of detectable model violations, even for large trees. Not only do our results likely resolve a long-standing mystery in phylogenetics, they demonstrate that model congruencies can have severe consequences in practice.
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Affiliation(s)
- Stilianos Louca
- Department of Biology, University of Oregon, 1210 University of Oregon, Eugene, OR 97403, USA; Institute of Ecology and Evolution, University of Oregon, 5289 University of Oregon, Eugene, OR 97403, USA.
| | - Matthew W Pennell
- Biodiversity Research Centre, University of British Columbia, 2212 Main Mall, Vancouver, BC V6T1Z4, Canada; Department of Zoology, University of British Columbia, 6270 University Boulevard, Vancouver, BC V6T1Z4, Canada.
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28
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Gastoldi L, Ward LM, Nakagawa M, Giordano M, McGlynn SE. Changes in ATP Sulfurylase Activity in Response to Altered Cyanobacteria Growth Conditions. Microbes Environ 2021; 36. [PMID: 34039816 PMCID: PMC8209453 DOI: 10.1264/jsme2.me20145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
We investigated variations in cell growth and ATP Sulfurylase (ATPS) activity when two cyanobacterial strains-Synechocystis sp. PCC6803 and Synechococcus sp. WH7803-were grown in conventional media, and media with low ammonium, low sulfate and a high CO2/low O2 atmosphere. In both organisms, a transition and adaptation to the reconstructed environmental media resulted in a decrease in ATPS activity. This variation appears to be decoupled from growth rate, suggesting the enzyme is not rate-limiting in S assimilation and raising questions about the role of ATPS redox regulation in cell physiology and throughout Earth history.
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Affiliation(s)
- Lucia Gastoldi
- Laboratory of Algal and Plant Physiology, Department of Life and Environmental Sciences (DISVA), Università Politecnica delle Marche (UNIVPM)
| | - Lewis M Ward
- Department of Earth and Planetary Sciences, Harvard University.,Earth-Life Science Institute, Tokyo Institute of Technology
| | | | - Mario Giordano
- Laboratory of Algal and Plant Physiology, Department of Life and Environmental Sciences (DISVA), Università Politecnica delle Marche (UNIVPM)
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29
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Cage and maternal effects on the bacterial communities of the murine gut. Sci Rep 2021; 11:9841. [PMID: 33972615 PMCID: PMC8110963 DOI: 10.1038/s41598-021-89185-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 02/05/2021] [Indexed: 01/04/2023] Open
Abstract
Findings from gut microbiome studies are strongly influenced by both experimental and analytical factors that can unintentionally bias their interpretation. Environment is also critical. Both co-housing and maternal effects are expected to affect microbiomes and have the potential to confound other manipulated factors, such as genetics. We therefore analysed microbiome data from a mouse experiment using littermate controls and tested differences among genotypes (wildtype versus colitis prone-mdr1a−/−), gut niches (stool versus mucus), host ages (6 versus 18 weeks), social groups (co-housed siblings of different genotypes) and maternal influence. We constructed a 16S phylogenetic tree from bacterial communities, fitting random forest models using all 428,234 clades identified. Models discriminated all criteria except host genotype, where no community differences were found. Host social groups differed in abundant, low-level, taxa whereas intermediate phylogenetic and abundance scales distinguished ages and niches. Thus, a carefully controlled experiment treating evolutionary clades of microbes equivalently without reference to taxonomy, clearly identifies whether and how gut microbial communities are distinct across ecologically important factors (niche and host age) and other experimental factors, notably cage effects and maternal influence. These findings highlight the importance of considering such environmental factors in future microbiome studies.
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30
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Ward LM, Fischer WW, McGlynn SE. Candidatus Anthektikosiphon siderophilum OHK22, a New Member of the Chloroflexi Family Herpetosiphonaceae from Oku-okuhachikurou Onsen. Microbes Environ 2021; 35. [PMID: 32727976 PMCID: PMC7511795 DOI: 10.1264/jsme2.me20030] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
We report the draft metagenome-assembled genome of a member of the Chloroflexi family Herpetosiphonaceae from microbial biofilms developed in a circumneutral, iron-rich hot spring in Japan. This taxon represents a novel genus and species—here proposed as Candidatus Anthektikosiphon siderophilum—that expands the known taxonomic and genetic diversity of the Herpetosiphonaceae and helps orient the evolutionary history of key traits like photosynthesis and aerobic respiration in the Chloroflexi.
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Affiliation(s)
- Lewis M Ward
- Department of Earth & Planetary Sciences, Harvard University.,Earth-Life Science Institute, Tokyo Institute of Technology
| | - Woodward W Fischer
- Division of Geological & Planetary Sciences, California Institute of Technology
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31
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Ward LM, Shih PM. Granick revisited: Synthesizing evolutionary and ecological evidence for the late origin of bacteriochlorophyll via ghost lineages and horizontal gene transfer. PLoS One 2021; 16:e0239248. [PMID: 33507911 PMCID: PMC7842958 DOI: 10.1371/journal.pone.0239248] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/29/2020] [Indexed: 11/19/2022] Open
Abstract
Photosynthesis-both oxygenic and more ancient anoxygenic forms-has fueled the bulk of primary productivity on Earth since it first evolved more than 3.4 billion years ago. However, the early evolutionary history of photosynthesis has been challenging to interpret due to the sparse, scattered distribution of metabolic pathways associated with photosynthesis, long timescales of evolution, and poor sampling of the true environmental diversity of photosynthetic bacteria. Here, we reconsider longstanding hypotheses for the evolutionary history of phototrophy by leveraging recent advances in metagenomic sequencing and phylogenetics to analyze relationships among phototrophic organisms and components of their photosynthesis pathways, including reaction centers and individual proteins and complexes involved in the multi-step synthesis of (bacterio)-chlorophyll pigments. We demonstrate that components of the photosynthetic apparatus have undergone extensive, independent histories of horizontal gene transfer. This suggests an evolutionary mode by which modular components of phototrophy are exchanged between diverse taxa in a piecemeal process that has led to biochemical innovation. We hypothesize that the evolution of extant anoxygenic photosynthetic bacteria has been spurred by ecological competition and restricted niches following the evolution of oxygenic Cyanobacteria and the accumulation of O2 in the atmosphere, leading to the relatively late evolution of bacteriochlorophyll pigments and the radiation of diverse crown group anoxygenic phototrophs. This hypothesis expands on the classic "Granick hypothesis" for the stepwise evolution of biochemical pathways, synthesizing recent expansion in our understanding of the diversity of phototrophic organisms as well as their evolving ecological context through Earth history.
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Affiliation(s)
- Lewis M. Ward
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, United States of America
| | - Patrick M. Shih
- Department of Plant Biology, University of California, Davis, California, United States of America
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- Feedstocks Division, Joint BioEnergy Institute, Emeryville, California, United States of America
- Genome Center, University of California, Davis, California, United States of America
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32
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Jalasvuori M. Silent rain: does the atmosphere-mediated connectivity between microbiomes influence bacterial evolutionary rates? FEMS Microbiol Ecol 2020; 96:5841522. [PMID: 32436564 DOI: 10.1093/femsec/fiaa096] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/20/2020] [Indexed: 01/21/2023] Open
Abstract
Air carries a vast number of bacteria and viruses over great distances all the time. This leads to continuous introduction of foreign genetic material to local, established microbial communities. In this perspective, I ask whether this silent rain may have a slowing effect on the overall evolutionary rates in the microbial biosphere. Arguably, the greater the genetic divergence between gene 'donors' and 'recipients', the greater the chance that the gene product has a deleterious epistatic interaction with other gene products in its genetic environment. This is due to the long-term absence of check for mutual compatibility. As such, if an organism is extensively different from other bacteria, genetic innovations are less probable to fit to the genome. Here, genetic innovation would be anything that elevates the fitness of the gene vehicle (e.g. bacterium) over its contemporaries. Adopted innovations increase the fitness of the compatible genome over incompatible ones, thus possibly tempering the pace at which mutations accumulate in existing genomes over generations. I further discuss the transfer of bacteriophages through atmosphere and potential effects that this may have on local dynamics and perhaps phage survival.
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Affiliation(s)
- Matti Jalasvuori
- Department of Biological and Environmental Science, Nanoscience Center, University of Jyvaskyla, Jyvaskyla, FI-40014, Finland
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33
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Madi N, Vos M, Murall CL, Legendre P, Shapiro BJ. Does diversity beget diversity in microbiomes? eLife 2020; 9:e58999. [PMID: 33215610 PMCID: PMC7755399 DOI: 10.7554/elife.58999] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 11/19/2020] [Indexed: 11/29/2022] Open
Abstract
Microbes are embedded in complex communities where they engage in a wide array of intra- and inter-specific interactions. The extent to which these interactions drive or impede microbiome diversity is not well understood. Historically, two contrasting hypotheses have been suggested to explain how species interactions could influence diversity. 'Ecological Controls' (EC) predicts a negative relationship, where the evolution or migration of novel types is constrained as niches become filled. In contrast, 'Diversity Begets Diversity' (DBD) predicts a positive relationship, with existing diversity promoting the accumulation of further diversity via niche construction and other interactions. Using high-throughput amplicon sequencing data from the Earth Microbiome Project, we provide evidence that DBD is strongest in low-diversity biomes, but weaker in more diverse biomes, consistent with biotic interactions initially favouring the accumulation of diversity (as predicted by DBD). However, as niches become increasingly filled, diversity hits a plateau (as predicted by EC).
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Affiliation(s)
- Naïma Madi
- Département de sciences biologiques, Université de MontréalMontrealCanada
| | - Michiel Vos
- European Centre for Environment and Human Health, University of ExeterPenrynUnited Kingdom
| | - Carmen Lia Murall
- Département de sciences biologiques, Université de MontréalMontrealCanada
| | - Pierre Legendre
- Département de sciences biologiques, Université de MontréalMontrealCanada
| | - B Jesse Shapiro
- Département de sciences biologiques, Université de MontréalMontrealCanada
- Department of Microbiology and Immunology, McGill UniversityMontrealCanada
- McGill Genome Centre, McGill UniversityMontrealCanada
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34
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The evolution of bacterial pathogens in the Anthropocene. INFECTION GENETICS AND EVOLUTION 2020; 86:104611. [PMID: 33130070 DOI: 10.1016/j.meegid.2020.104611] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 10/23/2020] [Accepted: 10/27/2020] [Indexed: 12/18/2022]
Abstract
Humankind has become a primary driver of global environmental and climate change. The extent of planetary change is such that it has been proposed to classify the current geological age as the 'Anthropocene'. Anthropogenic environmental degradation presents numerous threats to human health and wellbeing, including an increased risk of infectious disease. This review focuses on how processes such as pollution, climate change and human-mediated dispersal could affect the evolution of bacterial pathogens. Effects of environmental change on the 'big five' of evolution: mutation rate, recombination (horizontal gene transfer), migration, selection and drift are discussed. Microplastic pollution is used as a case study to highlight the combined effects of some of these processes on the evolutionary diversification of human pathogens. Although the evidence is still incomplete, a picture is emerging that environmental pathogens could evolve at increased rates in the Anthropocene, with potential consequences for human infection.
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35
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DeSalle R, Riley M. Should Networks Supplant Tree Building? Microorganisms 2020; 8:E1179. [PMID: 32756444 PMCID: PMC7466111 DOI: 10.3390/microorganisms8081179] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/21/2020] [Accepted: 07/29/2020] [Indexed: 12/15/2022] Open
Abstract
Recent studies suggested that network methods should supplant tree building as the basis of genealogical analysis. This proposition is based upon two arguments. First is the observation that bacterial and archaeal lineages experience processes oppositional to bifurcation and hence the representation of the evolutionary process in a tree like structure is illogical. Second is the argument tree building approaches are circular-you ask for a tree and you get one, which pins a verificationist label on tree building that, if correct, should be the end of phylogenetic analysis as we currently know it. In this review, we examine these questions and suggest that rumors of the death of the bacterial tree of life are exaggerated at best.
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Affiliation(s)
- Rob DeSalle
- Sackler Institute for Comparative Genomics, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024, USA;
| | - Margaret Riley
- Department of Biology, University of Massachusetts Amherst, 116 North Pleasant Street, Amherst, MA 01003, USA
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36
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Louca S. Phylogeographic Estimation and Simulation of Global Diffusive Dispersal. Syst Biol 2020; 70:340-359. [PMID: 32726450 DOI: 10.1093/sysbio/syaa061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 07/19/2020] [Accepted: 07/20/2020] [Indexed: 11/14/2022] Open
Abstract
The analysis of time-resolved phylogenies (timetrees) and geographic location data allows estimation of dispersal rates, for example, for invasive species and infectious diseases. Many estimation methods are based on the Brownian Motion model for diffusive dispersal on a 2D plane; however, the accuracy of these methods deteriorates substantially when dispersal occurs at global scales because spherical Brownian motion (SBM) differs from planar Brownian motion. No statistical method exists for estimating SBM diffusion coefficients from a given timetree and tip coordinates, and no method exists for simulating SBM along a given timetree. Here, I present new methods for simulating SBM along a given timetree, and for estimating SBM diffusivity from a given timetree and tip coordinates using a modification of Felsenstein's independent contrasts and maximum likelihood. My simulation and fitting methods can accommodate arbitrary time-dependent diffusivities and scale efficiently to trees with millions of tips, thus enabling new analyses even in cases where planar BM would be a sufficient approximation. I demonstrate these methods using a timetree of marine and terrestrial Cyanobacterial genomes, as well as timetrees of two globally circulating Influenza B clades. My methods are implemented in the R package "castor." [Independent contrasts; phylogenetic; random walk; simulation; spherical Brownian motion.].
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Affiliation(s)
- Stilianos Louca
- Department of Biology, University of Oregon, USA.,Institute of Ecology and Evolution, University of Oregon, USA
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37
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Testing the “(Neo-)Darwinian” Principles against Reticulate Evolution: How Variation, Adaptation, Heredity and Fitness, Constraints and Affordances, Speciation, and Extinction Surpass Organisms and Species. INFORMATION 2020. [DOI: 10.3390/info11070352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Variation, adaptation, heredity and fitness, constraints and affordances, speciation, and extinction form the building blocks of the (Neo-)Darwinian research program, and several of these have been called “Darwinian principles”. Here, we suggest that caution should be taken in calling these principles Darwinian because of the important role played by reticulate evolutionary mechanisms and processes in also bringing about these phenomena. Reticulate mechanisms and processes include symbiosis, symbiogenesis, lateral gene transfer, infective heredity mediated by genetic and organismal mobility, and hybridization. Because the “Darwinian principles” are brought about by both vertical and reticulate evolutionary mechanisms and processes, they should be understood as foundational for a more pluralistic theory of evolution, one that surpasses the classic scope of the Modern and the Neo-Darwinian Synthesis. Reticulate evolution moreover demonstrates that what conventional (Neo-)Darwinian theories treat as intra-species features of evolution frequently involve reticulate interactions between organisms from very different taxonomic categories. Variation, adaptation, heredity and fitness, constraints and affordances, speciation, and extinction therefore cannot be understood as “traits” or “properties” of genes, organisms, species, or ecosystems because the phenomena are irreducible to specific units and levels of an evolutionary hierarchy. Instead, these general principles of evolution need to be understood as common goods that come about through interactions between different units and levels of evolutionary hierarchies, and they are exherent rather than inherent properties of individuals.
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38
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Arning N, Wilson DJ. The past, present and future of ancient bacterial DNA. Microb Genom 2020; 6:mgen000384. [PMID: 32598277 PMCID: PMC7478633 DOI: 10.1099/mgen.0.000384] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/18/2020] [Indexed: 12/12/2022] Open
Abstract
Groundbreaking studies conducted in the mid-1980s demonstrated the possibility of sequencing ancient DNA (aDNA), which has allowed us to answer fundamental questions about the human past. Microbiologists were thus given a powerful tool to glimpse directly into inscrutable bacterial history, hitherto inaccessible due to a poor fossil record. Initially plagued by concerns regarding contamination, the field has grown alongside technical progress, with the advent of high-throughput sequencing being a breakthrough in sequence output and authentication. Albeit burdened with challenges unique to the analysis of bacteria, a growing number of viable sources for aDNA has opened multiple avenues of microbial research. Ancient pathogens have been extracted from bones, dental pulp, mummies and historical medical specimens and have answered focal historical questions such as identifying the aetiological agent of the black death as Yersinia pestis. Furthermore, ancient human microbiomes from fossilized faeces, mummies and dental plaque have shown shifts in human commensals through the Neolithic demographic transition and industrial revolution, whereas environmental isolates stemming from permafrost samples have revealed signs of ancient antimicrobial resistance. Culminating in an ever-growing repertoire of ancient genomes, the quickly expanding body of bacterial aDNA studies has also enabled comparisons of ancient genomes to their extant counterparts, illuminating the evolutionary history of bacteria. In this review we summarize the present avenues of research and contextualize them in the past of the field whilst also pointing towards questions still to be answered.
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Affiliation(s)
- Nicolas Arning
- Big Data Institute, Nuffield Department of Population Health, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF, UK
| | - Daniel J. Wilson
- Big Data Institute, Nuffield Department of Population Health, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF, UK
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39
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Siqueira AC, Morais RA, Bellwood DR, Cowman PF. Trophic innovations fuel reef fish diversification. Nat Commun 2020; 11:2669. [PMID: 32472063 PMCID: PMC7260216 DOI: 10.1038/s41467-020-16498-w] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 05/01/2020] [Indexed: 12/29/2022] Open
Abstract
Reef fishes are an exceptionally speciose vertebrate assemblage, yet the main drivers of their diversification remain unclear. It has been suggested that Miocene reef rearrangements promoted opportunities for lineage diversification, however, the specific mechanisms are not well understood. Here, we assemble near-complete reef fish phylogenies to assess the importance of ecological and geographical factors in explaining lineage origination patterns. We reveal that reef fish diversification is strongly associated with species' trophic identity and body size. Large-bodied herbivorous fishes outpace all other trophic groups in recent diversification rates, a pattern that is consistent through time. Additionally, we show that omnivory acts as an intermediate evolutionary step between higher and lower trophic levels, while planktivory represents a common transition destination. Overall, these results suggest that Miocene changes in reef configurations were likely driven by, and subsequently promoted, trophic innovations. This highlights trophic evolution as a key element in enhancing reef fish diversification.
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Affiliation(s)
- Alexandre C Siqueira
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4811, Australia.
| | - Renato A Morais
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4811, Australia
- College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia
| | - David R Bellwood
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4811, Australia
- College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia
| | - Peter F Cowman
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4811, Australia
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40
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Billaud O, Moen DS, Parsons TL, Morlon H. Estimating Diversity Through Time Using Molecular Phylogenies: Old and Species-Poor Frog Families are the Remnants of a Diverse Past. Syst Biol 2020; 69:363-383. [PMID: 31682272 DOI: 10.1093/sysbio/syz057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 07/08/2019] [Accepted: 08/26/2019] [Indexed: 01/27/2023] Open
Abstract
Estimating how the number of species in a given group varied in the deep past is of key interest to evolutionary biologists. However, current phylogenetic approaches for obtaining such estimates have limitations, such as providing unrealistic diversity estimates at the origin of the group. Here, we develop a robust probabilistic approach for estimating diversity through time curves and uncertainty around these estimates from phylogenetic data. We show with simulations that under various realistic scenarios of diversification, this approach performs better than previously proposed approaches. We also characterize the effect of tree size and undersampling on the performance of the approach. We apply our method to understand patterns of species diversity in anurans (frogs and toads). We find that Archaeobatrachia-a species-poor group of old frog clades often found in temperate regions-formerly had much higher diversity and net diversification rate, but the group declined in diversity as younger, nested clades diversified. This diversity decline seems to be linked to a decline in speciation rate rather than an increase in extinction rate. Our approach, implemented in the R package RPANDA, should be useful for evolutionary biologists interested in understanding how past diversity dynamics have shaped present-day diversity. It could also be useful in other contexts, such as for analyzing clade-clade competitive effects or the effect of species richness on phenotypic divergence.
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Affiliation(s)
- O Billaud
- Institut de Biologie de l'École Normale Supérieure (IBENS), CNRS UMR 8197, INSERM U1024, École Normale Supérieure, Paris Sciences et Lettres (PSL) Research University, F-75005 Paris, France
| | - D S Moen
- Department of Integrative Biology, Oklahoma State University, 517 Life Sciences West, Stillwater, OK 74078, USA
| | - T L Parsons
- Laboratoire de Probabilités, Statistique et Modélisation (LPSM), Sorbonne Université, CNRS UMR 8001, Paris, France
| | - H Morlon
- Institut de Biologie de l'École Normale Supérieure (IBENS), CNRS UMR 8197, INSERM U1024, École Normale Supérieure, Paris Sciences et Lettres (PSL) Research University, F-75005 Paris, France
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41
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Ward LM, Lingappa UF, Grotzinger JP, Fischer WW. Microbial mats in the Turks and Caicos Islands reveal diversity and evolution of phototrophy in the Chloroflexota order Aggregatilineales. ENVIRONMENTAL MICROBIOME 2020; 15:9. [PMID: 33902735 PMCID: PMC8067394 DOI: 10.1186/s40793-020-00357-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 03/19/2020] [Indexed: 05/03/2023]
Abstract
Genome-resolved metagenomic sequencing approaches have led to a substantial increase in the recognized diversity of microorganisms; this included the discovery of novel metabolic pathways in previously recognized clades, and has enabled a more accurate determination of the extant distribution of key metabolisms and how they evolved over Earth history. Here, we present metagenome-assembled genomes of members of the Chloroflexota (formerly Chloroflexi or Green Nonsulfur Bacteria) order Aggregatilineales (formerly SBR1031 or Thermofonsia) discovered from sequencing of thick and expansive microbial mats present in an intertidal lagoon on Little Ambergris Cay in the Turks and Caicos Islands. These taxa included multiple new lineages of Type 2 reaction center-containing phototrophs that were not closely related to previously described phototrophic Chloroflexota-revealing a rich and intricate history of horizontal gene transfer and the evolution of phototrophy and other core metabolic pathways within this widespread phylum.
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Affiliation(s)
- Lewis M Ward
- Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA, 02138, USA.
| | - Usha F Lingappa
- Division of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - John P Grotzinger
- Division of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Woodward W Fischer
- Division of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
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42
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Extant timetrees are consistent with a myriad of diversification histories. Nature 2020; 580:502-505. [PMID: 32322065 DOI: 10.1038/s41586-020-2176-1] [Citation(s) in RCA: 226] [Impact Index Per Article: 56.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Accepted: 03/10/2020] [Indexed: 11/09/2022]
Abstract
Time-calibrated phylogenies of extant species (referred to here as 'extant timetrees') are widely used for estimating diversification dynamics1. However, there has been considerable debate surrounding the reliability of these inferences2-5 and, to date, this critical question remains unresolved. Here we clarify the precise information that can be extracted from extant timetrees under the generalized birth-death model, which underlies most existing methods of estimation. We prove that, for any diversification scenario, there exists an infinite number of alternative diversification scenarios that are equally likely to have generated any given extant timetree. These 'congruent' scenarios cannot possibly be distinguished using extant timetrees alone, even in the presence of infinite data. Importantly, congruent diversification scenarios can exhibit markedly different and yet similarly plausible dynamics, which suggests that many previous studies may have over-interpreted phylogenetic evidence. We introduce identifiable and easily interpretable variables that contain all available information about past diversification dynamics, and demonstrate that these can be estimated from extant timetrees. We suggest that measuring and modelling these identifiable variables offers a more robust way to study historical diversification dynamics. Our findings also make it clear that palaeontological data will continue to be crucial for answering some macroevolutionary questions.
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43
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Schmidt ML, Biddanda BA, Weinke AD, Chiang E, Januska F, Props R, Denef VJ. Microhabitats are associated with diversity-productivity relationships in freshwater bacterial communities. FEMS Microbiol Ecol 2020; 96:fiaa029. [PMID: 32105331 PMCID: PMC8453396 DOI: 10.1093/femsec/fiaa029] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 02/25/2020] [Indexed: 01/08/2023] Open
Abstract
Eukaryotic communities commonly display a positive relationship between biodiversity and ecosystem function (BEF) but the results have been mixed when assessed in bacterial communities. Habitat heterogeneity, a factor in eukaryotic BEFs, may explain these variable observations but it has not been thoroughly evaluated in bacterial communities. Here, we examined the impact of habitat on the relationship between diversity assessed based on the (phylogenetic) Hill diversity metrics and heterotrophic productivity. We sampled co-occurring free-living (more homogenous) and particle-associated (more heterogeneous) bacterial habitats in a freshwater, estuarine lake over three seasons: spring, summer and fall. There was a strong, positive, linear relationship between particle-associated bacterial richness and heterotrophic productivity that strengthened when considering dominant taxa. There were no observable BEF trends in free-living bacterial communities for any diversity metric. Biodiversity, richness and Inverse Simpson's index, were the best predictors of particle-associated production whereas pH was the best predictor of free-living production. Our findings show that heterotrophic productivity is positively correlated with the effective number of taxa and that BEF relationships are associated with microhabitats. These results add to the understanding of the highly distinct contributions to diversity and functioning contributed by bacteria in free-living and particle-associated habitats.
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Affiliation(s)
- Marian L Schmidt
- University of Michigan, Ann Arbor, Department of Ecology & Evolutionary Biology, Ann Arbor, MI USA
- The University of Texas at Austin, Department of Integrative Biology, Austin, TX USA
| | - Bopaiah A Biddanda
- Grand Valley State University, Annis Water Resources Institute, Muskegon, MI, USA
| | - Anthony D Weinke
- Grand Valley State University, Annis Water Resources Institute, Muskegon, MI, USA
| | - Edna Chiang
- University of Michigan, Ann Arbor, Department of Ecology & Evolutionary Biology, Ann Arbor, MI USA
- University of Wisconsin, Department of Bacteriology, Madison, WI, USA
| | - Fallon Januska
- Grand Valley State University, Annis Water Resources Institute, Muskegon, MI, USA
| | - Ruben Props
- University of Michigan, Ann Arbor, Department of Ecology & Evolutionary Biology, Ann Arbor, MI USA
- Center for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium
| | - Vincent J Denef
- University of Michigan, Ann Arbor, Department of Ecology & Evolutionary Biology, Ann Arbor, MI USA
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44
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Gonzalez-Alba JM, Baquero F, Cantón R, Galán JC. Stratified reconstruction of ancestral Escherichia coli diversification. BMC Genomics 2019; 20:936. [PMID: 31805853 PMCID: PMC6896753 DOI: 10.1186/s12864-019-6346-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 11/28/2019] [Indexed: 12/15/2022] Open
Abstract
Background Phylogenetic analyses of the bacterial genomes based on the simple classification in core- genes and accessory genes pools could offer an incomplete view of the evolutionary processes, of which some are still unresolved. A combined strategy based on stratified phylogeny and ancient molecular polymorphisms is proposed to infer detailed evolutionary reconstructions by using a large number of whole genomes. This strategy, based on the highest number of genomes available in public databases, was evaluated for improving knowledge of the ancient diversification of E. coli. This staggered evolutionary scenario was also used to investigate whether the diversification of the ancient E. coli lineages could be associated with particular lifestyles and adaptive strategies. Results Phylogenetic reconstructions, exploiting 6220 available genomes in Genbank, established the E. coli core genome in 1023 genes, representing about 20% of the complete genome. The combined strategy using stratified phylogeny plus molecular polymorphisms inferred three ancient lineages (D, EB1A and FGB2). Lineage D was the closest to E. coli root. A staggered diversification could also be proposed in EB1A and FGB2 lineages and the phylogroups into these lineages. Several molecular markers suggest that each lineage had different adaptive trajectories. The analysis of gained and lost genes in the main lineages showed that functions of carbohydrates utilization (uptake of and metabolism) were gained principally in EB1A lineage, whereas loss of environmental-adaptive functions in FGB2 lineage were observed, but this lineage showed higher accumulated mutations and ancient recombination events. The population structure of E. coli was re-evaluated including up to 7561 new sequenced genomes, showing a more complex population structure of E. coli, as a new phylogroup, phylogroup I, was proposed. Conclusions A staggered reconstruction of E. coli phylogeny is proposed, indicating evolution from three ancestral lineages to reach all main known phylogroups. New phylogroups were confirmed, suggesting an increasingly complex population structure of E. coli. However these new phylogroups represent < 1% of the global E. coli population. A few key evolutionary forces have driven the diversification of the two main E. coli lineages, metabolic flexibility in one of them and colonization-virulence in the other.
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Affiliation(s)
- José Maria Gonzalez-Alba
- Servicio de Microbiología. Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.,CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Fernando Baquero
- Servicio de Microbiología. Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.,CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Unidad de Resistencia a Antibióticos y Virulencia Bacteriana, Madrid, Spain
| | - Rafael Cantón
- Servicio de Microbiología. Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.,Red Española de Investigación en Patología Infecciosa (REIPI), Madrid, Spain
| | - Juan Carlos Galán
- Servicio de Microbiología. Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain. .,CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. .,Unidad de Resistencia a Antibióticos y Virulencia Bacteriana, Madrid, Spain.
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45
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Becker P, Bosschaerts M, Chaerle P, Daniel HM, Hellemans A, Olbrechts A, Rigouts L, Wilmotte A, Hendrickx M. Public Microbial Resource Centers: Key Hubs for Findable, Accessible, Interoperable, and Reusable (FAIR) Microorganisms and Genetic Materials. Appl Environ Microbiol 2019; 85:e01444-19. [PMID: 31471301 PMCID: PMC6803313 DOI: 10.1128/aem.01444-19] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
In the context of open science, the availability of research materials is essential for knowledge accumulation and to maximize the impact of scientific research. In microbiology, microbial domain biological resource centers (mBRCs) have long-standing experience in preserving and distributing authenticated microbial strains and genetic materials (e.g., recombinant plasmids and DNA libraries) to support new discoveries and follow-on studies. These culture collections play a central role in the conservation of microbial biodiversity and have expertise in cultivation, characterization, and taxonomy of microorganisms. Information associated with preserved biological resources is recorded in databases and is accessible through online catalogues. Legal expertise developed by mBRCs guarantees end users the traceability and legality of the acquired material, notably with respect to the Nagoya Protocol. However, awareness of the advantages of depositing biological materials in professional repositories remains low, and the necessity of securing strains and genetic resources for future research must be emphasized. This review describes the unique position of mBRCs in microbiology and molecular biology through their history, evolving roles, expertise, services, challenges, and international collaborations. It also calls for an increased deposit of strains and genetic resources, a responsibility shared by scientists, funding agencies, and publishers. Journal policies requesting a deposit during submission of a manuscript represent one of the measures to make more biological materials available to the broader community, hence fully releasing their potential and improving openness and reproducibility in scientific research.
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Affiliation(s)
- P Becker
- BCCM/IHEM Fungi Collection, Mycology and Aerobiology, Sciensano, Brussels, Belgium
| | - M Bosschaerts
- BCCM Coordination Cell, Belgian Science Policy, Brussels, Belgium
| | - P Chaerle
- BCCM/DCG Diatoms Collection, Ghent University, Ghent, Belgium
| | - H-M Daniel
- BCCM/MUCL, Mycothèque de l'Université Catholique de Louvain, Earth and Life Institute, Mycology Laboratory, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - A Hellemans
- BCCM/LMG Bacteria Collection, Laboratory of Microbiology, Faculty of Science, Ghent University, Ghent, Belgium
| | - A Olbrechts
- BCCM/GeneCorner Plasmid Collection, Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - L Rigouts
- BCCM/ITM Mycobacteria Collection, Institute of Tropical Medicine, Antwerp, Belgium
| | - A Wilmotte
- BCCM/ULC Cyanobacteria Collection, InBios-Centre for Protein Engineering, Université de Liège, Liège, Belgium
| | - M Hendrickx
- BCCM/IHEM Fungi Collection, Mycology and Aerobiology, Sciensano, Brussels, Belgium
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46
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Louca S, Pennell MW. A General and Efficient Algorithm for the Likelihood of Diversification and Discrete-Trait Evolutionary Models. Syst Biol 2019; 69:545-556. [DOI: 10.1093/sysbio/syz055] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 08/14/2019] [Accepted: 08/15/2019] [Indexed: 11/13/2022] Open
Abstract
Abstract
As the size of phylogenetic trees and comparative data continue to grow and more complex models are developed to investigate the processes that gave rise to them, macroevolutionary analyses are becoming increasingly limited by computational requirements. Here, we introduce a novel algorithm, based on the “flow” of the differential equations that describe likelihoods along tree edges in backward time, to reduce redundancy in calculations and efficiently compute the likelihood of various macroevolutionary models. Our algorithm applies to several diversification models, including birth–death models and models that account for state- or time-dependent rates, as well as many commonly used models of discrete-trait evolution, and provides an alternative way to describe macroevolutionary model likelihoods. As a demonstration of our algorithm’s utility, we implemented it for a popular class of state-dependent diversification models—BiSSE, MuSSE, and their extensions to hidden-states. Our implementation is available through the R package $\texttt{castor}$. We show that, for these models, our algorithm is one or more orders of magnitude faster than existing implementations when applied to large phylogenies. Our algorithm thus enables the fitting of state-dependent diversification models to modern massive phylogenies with millions of tips and may lead to potentially similar computational improvements for many other macroevolutionary models.
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Affiliation(s)
- Stilianos Louca
- Department of Biology, 1210 University of Oregon, Eugene, OR 97403, USA
- Institute of Ecology and Evolution, 5289 University of Oregon, Eugene, OR 97403, USA
| | - Matthew W Pennell
- Biodiversity Research Centre, University of British Columbia, 2212 Main Mall, Vancouver, V6T1Z4 British Columbia, Canada
- Department of Zoology, University of British Columbia, 6270 University Blvd, Vancouver, V6T1Z4 British Columbia, Canada
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47
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Finke N, Simister RL, O'Neil AH, Nomosatryo S, Henny C, MacLean LC, Canfield DE, Konhauser K, Lalonde SV, Fowle DA, Crowe SA. Mesophilic microorganisms build terrestrial mats analogous to Precambrian microbial jungles. Nat Commun 2019; 10:4323. [PMID: 31541087 PMCID: PMC6754388 DOI: 10.1038/s41467-019-11541-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 07/03/2019] [Indexed: 12/02/2022] Open
Abstract
Development of Archean paleosols and patterns of Precambrian rock weathering suggest colonization of continents by subaerial microbial mats long before evolution of land plants in the Phanerozoic Eon. Modern analogues for such mats, however, have not been reported, and possible biogeochemical roles of these mats in the past remain largely conceptual. We show that photosynthetic, subaerial microbial mats from Indonesia grow on mafic bedrocks at ambient temperatures and form distinct layers with features similar to Precambrian mats and paleosols. Such subaerial mats could have supported a substantial aerobic biosphere, including nitrification and methanotrophy, and promoted methane emissions and oxidative weathering under ostensibly anoxic Precambrian atmospheres. High C-turnover rates and cell abundances would have made these mats prime locations for early microbial diversification. Growth of landmass in the late Archean to early Proterozoic Eons could have reorganized biogeochemical cycles between land and sea impacting atmospheric chemistry and climate.
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Affiliation(s)
- N Finke
- Departments of Microbiology and Immunology and Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, Canada
- Nordic center for earth evolution (NordCEE), University of Southern Denmark, Odense, Denmark
| | - R L Simister
- Departments of Microbiology and Immunology and Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, Canada
| | | | - S Nomosatryo
- Research center for Limnology, Indonesian Institute of Sciences (LIPI), Jawa Barat, Indonesia
- GFZ German Research Centre for Geosciences, Potsdam, Germany
| | - C Henny
- Research center for Limnology, Indonesian Institute of Sciences (LIPI), Jawa Barat, Indonesia
| | | | - D E Canfield
- Nordic center for earth evolution (NordCEE), University of Southern Denmark, Odense, Denmark
| | - K Konhauser
- Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Canada
| | - S V Lalonde
- European Institute for Marine Studies, Technopôle Brest-Iroise, Plouzané, France
| | - D A Fowle
- Department of Geology, University of Kansas, Lawrence, KS, USA
| | - S A Crowe
- Departments of Microbiology and Immunology and Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, Canada.
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Lingappa UF, Monteverde DR, Magyar JS, Valentine JS, Fischer WW. How manganese empowered life with dioxygen (and vice versa). Free Radic Biol Med 2019; 140:113-125. [PMID: 30738765 DOI: 10.1016/j.freeradbiomed.2019.01.036] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 01/25/2019] [Indexed: 01/02/2023]
Abstract
Throughout the history of life on Earth, abiotic components of the environment have shaped the evolution of life, and in turn life has shaped the environment. The element manganese embodies a special aspect of this collaboration; its history is closely entwined with those of photosynthesis and O2-two reigning features that characterize the biosphere today. Manganese chemistry was central to the environmental context and evolutionary innovations that enabled the origin of oxygenic photosynthesis and the ensuing rise of O2. It was also manganese chemistry that provided an early, fortuitous antioxidant system that was instrumental in how life came to cope with oxidative stress and ultimately thrive in an aerobic world. Subsequently, the presence of O2 transformed the biogeochemical dynamics of the manganese cycle, enabling a rich suite of environmental and biological processes involving high-valent manganese and manganese redox cycling. Here, we describe insights from chemistry, biology, and geology, to examine manganese dynamics in the environment, and its unique role in the history of life.
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Affiliation(s)
- Usha F Lingappa
- Div. of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA.
| | - Danielle R Monteverde
- Div. of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - John S Magyar
- Div. of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Joan Selverstone Valentine
- Div. of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA; Dept. of Chemistry & Biochemistry, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Woodward W Fischer
- Div. of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
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49
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Abstract
Sam Granick opened his seminal 1957 paper titled 'Speculations on the origins and evolution of photosynthesis' with the assertion that there is a constant urge in human beings to seek beginnings (I concur). This urge has led to an incessant stream of speculative ideas and debates on the evolution of photosynthesis that started in the first half of the twentieth century and shows no signs of abating. Some of these speculative ideas have become commonplace, are taken as fact, but find little support. Here, I review and scrutinize three widely accepted ideas that underpin the current study of the evolution of photosynthesis: first, that the photochemical reaction centres used in anoxygenic photosynthesis are more primitive than those in oxygenic photosynthesis; second, that the probability of acquiring photosynthesis via horizontal gene transfer is greater than the probability of losing photosynthesis; and third, and most important, that the origin of anoxygenic photosynthesis pre-dates the origin of oxygenic photosynthesis. I shall attempt to demonstrate that these three ideas are often grounded in incorrect assumptions built on more assumptions with no experimental or observational support. I hope that this brief review will not only serve as a cautionary tale but also that it will open new avenues of research aimed at disentangling the complex evolution of photosynthesis and its impact on the early history of life and the planet.
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Affiliation(s)
- Tanai Cardona
- Department of Life Sciences, Imperial College London, London, UK
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50
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Louca S, Mazel F, Doebeli M, Parfrey LW. A census-based estimate of Earth's bacterial and archaeal diversity. PLoS Biol 2019; 17:e3000106. [PMID: 30716065 PMCID: PMC6361415 DOI: 10.1371/journal.pbio.3000106] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 12/21/2018] [Indexed: 12/17/2022] Open
Abstract
The global diversity of Bacteria and Archaea, the most ancient and most widespread forms of life on Earth, is a subject of intense controversy. This controversy stems largely from the fact that existing estimates are entirely based on theoretical models or extrapolations from small and biased data sets. Here, in an attempt to census the bulk of Earth's bacterial and archaeal ("prokaryotic") clades and to estimate their overall global richness, we analyzed over 1.7 billion 16S ribosomal RNA amplicon sequences in the V4 hypervariable region obtained from 492 studies worldwide, covering a multitude of environments and using multiple alternative primers. From this data set, we recovered 739,880 prokaryotic operational taxonomic units (OTUs, 16S-V4 gene clusters at 97% similarity), a commonly used measure of microbial richness. Using several statistical approaches, we estimate that there exist globally about 0.8–1.6 million prokaryotic OTUs, of which we recovered somewhere between 47%–96%, representing >99.98% of prokaryotic cells. Consistent with this conclusion, our data set independently "recaptured" 91%–93% of 16S sequences from multiple previous global surveys, including PCR-independent metagenomic surveys. The distribution of relative OTU abundances is consistent with a log-normal model commonly observed in larger organisms; the total number of OTUs predicted by this model is also consistent with our global richness estimates. By combining our estimates with the ratio of full-length versus partial-length (V4) sequence diversity in the SILVA sequence database, we further estimate that there exist about 2.2–4.3 million full-length OTUs worldwide. When restricting our analysis to the Americas, while controlling for the number of studies, we obtain similar richness estimates as for the global data set, suggesting that most OTUs are globally distributed. Qualitatively similar results are also obtained for other 16S similarity thresholds (90%, 95%, and 99%). Our estimates constrain the extent of a poorly quantified rare microbial biosphere and refute recent predictions that there exist trillions of prokaryotic OTUs. A massive survey of Earth's Bacteria and Archaea reveals that their diversity is orders of magnitude lower than previously thought. The study also indicates that extinctions played an important role in prokaryotic evolution. The global diversity of Bacteria and Archaea ("prokaryotes"), the most ancient and most widespread forms of life on Earth, is subject to high uncertainty. Here, to estimate the global diversity of prokaryotes, we analyzed a large number of 16S ribosomal RNA gene sequences, found in all prokaryotes and commonly used to catalogue prokaryotic diversity. Sequences were obtained from a multitude of environments across thousands of geographic locations worldwide. From this data set, we recovered 739,880 prokaryotic operational taxonomic units (OTUs), i.e., 16S gene clusters sharing 97% similarity, roughly corresponding to prokaryotic species. Using several statistical approaches and through comparison with existing databases and previous independent surveys, we estimate that there exist globally between 0.8 and 1.6 million prokaryotic OTUs. When restricting our analysis to the Americas, while controlling for the number of studies, we obtain similar estimates as for the global data set, suggesting that most OTUs are not restricted to a single continent but are instead globally distributed. Our estimates constrain the extent of a commonly hypothesized but poorly quantified rare prokaryotic biosphere and refute recent predictions that there exists trillions of prokaryotic OTUs. Our findings also indicate that, contrary to common speculation, extinctions may strongly influence global prokaryotic diversity.
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Affiliation(s)
- Stilianos Louca
- Department of Biology, University of Oregon, Eugene, Oregon, United States of America
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, United States of America
- Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
- Department of Zoology, University of British Columbia, Vancouver, Canada
- * E-mail:
| | - Florent Mazel
- Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
- Department of Botany, University of British Columbia, Vancouver, Canada
| | - Michael Doebeli
- Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
- Department of Zoology, University of British Columbia, Vancouver, Canada
- Department of Mathematics, University of British Columbia, Vancouver, Canada
| | - Laura Wegener Parfrey
- Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
- Department of Zoology, University of British Columbia, Vancouver, Canada
- Department of Botany, University of British Columbia, Vancouver, Canada
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