1
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Smith CE, Smith ANH, Cooper TF, Moore FBG. Fitness of evolving bacterial populations is contingent on deep and shallow history but only shallow history creates predictable patterns. Proc Biol Sci 2022; 289:20221292. [PMID: 36100026 PMCID: PMC9470251 DOI: 10.1098/rspb.2022.1292] [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
Long-term evolution experiments have tested the importance of genetic and environmental factors in influencing evolutionary outcomes. Differences in phylogenetic history, recent adaptation to distinct environments and chance events, all influence the fitness of a population. However, the interplay of these factors on a population's evolutionary potential remains relatively unexplored. We tracked the outcome of 2000 generations of evolution of four natural isolates of Escherichia coli bacteria that were engineered to also create differences in shallow history by adding previously identified mutations selected in a separate long-term experiment. Replicate populations started from each progenitor evolved in four environments. We found that deep and shallow phylogenetic histories both contributed significantly to differences in evolved fitness, though by different amounts in different selection environments. With one exception, chance effects were not significant. Whereas the effect of deep history did not follow any detectable pattern, effects of shallow history followed a pattern of diminishing returns whereby fitter ancestors had smaller fitness increases. These results are consistent with adaptive evolution being contingent on the interaction of several evolutionary forces but demonstrate that the nature of these interactions is not fixed and may not be predictable even when the role of chance is small.
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Affiliation(s)
- Chelsea E Smith
- Department of Biological Sciences, Kent State University, Kent, OH 44242, USA
| | - Adam N H Smith
- School of Mathematical and Computational Sciences, Massey University, Auckland 0634, New Zealand
| | - Tim F Cooper
- School of Natural Sciences, Massey University, Auckland 0634, New Zealand
| | - Francisco B-G Moore
- Department of Biological Sciences, Kent State University, Kent, OH 44242, USA.,Department of Biology, University of Akron, Akron, OH 44325, USA
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2
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Cisneros-Mayoral S, Graña-Miraglia L, Pérez-Morales D, Peña-Miller R, Fuentes-Hernáandez A. Evolutionary history and strength of selection determine the rate of antibiotic resistance adaptation. Mol Biol Evol 2022; 39:6692293. [PMID: 36062982 PMCID: PMC9512152 DOI: 10.1093/molbev/msac185] [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: 11/29/2022] Open
Abstract
Bacterial adaptation to stressful environments often produces evolutionary constraints whereby increases in resistance are associated with reduced fitness in a different environment. The exploitation of this resistance-cost trade-off has been proposed as the basis of rational antimicrobial treatment strategies designed to limit the evolution of drug resistance in bacterial pathogens. Recent theoretical, laboratory, and clinical studies have shown that fluctuating selection can maintain drug efficacy and even restore drug susceptibility, but can also increase the rate of adaptation and promote cross-resistance to other antibiotics. In this paper, we combine mathematical modeling, experimental evolution, and whole-genome sequencing to follow evolutionary trajectories towards β-lactam resistance under fluctuating selective conditions. Our experimental model system consists of eight populations of Escherichia coli K12 evolving in parallel to a serial dilution protocol designed to dynamically control the strength of selection for resistance. We implemented adaptive ramps with mild and strong selection, resulting in evolved populations with similar levels of resistance, but with different evolutionary dynamics and diverging genotypic profiles. We found that mutations that emerged under strong selection are unstable in the absence of selection, in contrast to resistance mutations previously selected in the mild selection regime that were stably maintained in drug-free environments and positively selected for when antibiotics were reintroduced. Altogether, our population dynamics model and the phenotypic and genomic analysis of the evolved populations show that the rate of resistance adaptation is contingent upon the strength of selection, but also on evolutionary constraints imposed by prior drug exposures.
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Affiliation(s)
- Sandra Cisneros-Mayoral
- Programa de Biología Sintética, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, 62210, Cuernavaca, Mexico
| | - Lucía Graña-Miraglia
- Department of Cell & Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - Deyanira Pérez-Morales
- Programa de Biología de Sistemas, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de Méexico, 62210, Cuernavaca, Mexico
| | - Rafael Peña-Miller
- Programa de Biología de Sistemas, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, 62210, Cuernavaca, Mexico
| | - Ayari Fuentes-Hernáandez
- Programa de Biología Sintética, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de Méexico, 62210, Cuernavaca, Mexico
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3
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Forni G, Martelossi J, Valero P, Hennemann FH, Conle O, Luchetti A, Mantovani B. Macroevolutionary Analyses Provide New Evidence of Phasmid Wings Evolution as a Reversible Process. Syst Biol 2022; 71:1471-1486. [PMID: 35689634 DOI: 10.1093/sysbio/syac038] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 05/13/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
The concept that complex ancestral traits can never be recovered after their loss is still widely accepted, despite phylogenetic and molecular approaches suggest instances where phenotypes may have been lost throughout the evolutionary history of a clade and subsequently reverted back in derived lineages. One of the first and most notable examples of such a process is wing evolution in phasmids; this polyneopteran order of insects, which comprises stick and leaf insects, has played a central role in initiating a long-standing debate on the topic. In this study, a novel and comprehensive time tree including over 300 Phasmatodea species is used as a framework for investigating wing evolutionary patterns in the clade. Despite accounting for several possible biases and sources of uncertainty, macroevolutionary analyses consistently revealed multiple reversals to winged states taking place after their loss, and reversibility is coupled with higher species diversification rates. Our findings support a loss of or reduction in wings that occurred in the lineage leading to the extant phasmid most recent common ancestor, and brachyptery is inferred to be an unstable state unless co-opted for nonaerodynamic adaptations. We also explored how different assumptions of wing reversals probability could impact their inference: we found that until reversals are assumed to be over 30 times more unlikely than losses, they are consistently inferred despite uncertainty in tree and model parameters. Our findings demonstrate that wing evolution is a reversible and dynamic process in phasmids and contribute to our understanding of complex trait evolution.
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Affiliation(s)
- Giobbe Forni
- Dip. Scienze Biologiche, Geologiche e Ambientali (BiGeA), University of Bologna, Italy
| | - Jacopo Martelossi
- Dip. Scienze Biologiche, Geologiche e Ambientali (BiGeA), University of Bologna, Italy
| | | | | | | | - Andrea Luchetti
- Dip. Scienze Biologiche, Geologiche e Ambientali (BiGeA), University of Bologna, Italy
| | - Barbara Mantovani
- Dip. Scienze Biologiche, Geologiche e Ambientali (BiGeA), University of Bologna, Italy
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4
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Bonforti A, Solé R. Unicellular-multicellular evolutionary branching driven by resource limitations. J R Soc Interface 2022; 19:20220018. [PMID: 35642429 DOI: 10.1098/rsif.2022.0018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Multicellular life forms have evolved many times on our planet, suggesting that this is a common evolutionary innovation. Multiple advantages have been proposed for the emergence of multicellularity (MC). In this paper, we address the problem of how the first precondition for MC, namely 'stay together', might have occurred under spatially limited resources exploited by a population of unicellular agents. Using a minimal model of evolved cell-cell adhesion among growing and dividing cells that exploit a localized resource with a given size, we show that a transition occurs at a critical resource size separating a phase of evolved multicellular aggregates from a phase where unicellularity (UC) is favoured. The two phases are separated by an intermediate domain where both UC and MC can be selected by evolution. This model provides a minimal approach to the early stages that were required to transition from individuality to cohesive groups of cells associated with a physical cooperative effect: when resources are present only in a localized portion of the habitat, MC is a desirable property as it helps cells to keep close to the available local nutrients.
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Affiliation(s)
- Adriano Bonforti
- ICREA-Complex Systems Lab, UPF-PRBB, Dr. Aiguader 80, 08003 Barcelona, Spain.,Institut de Biologia Evolutiva, CSIC-UPF, Passeig Maritim de la Barceloneta 37, 08003 Barcelona, Spain
| | - Ricard Solé
- ICREA-Complex Systems Lab, UPF-PRBB, Dr. Aiguader 80, 08003 Barcelona, Spain.,Institut de Biologia Evolutiva, CSIC-UPF, Passeig Maritim de la Barceloneta 37, 08003 Barcelona, Spain.,Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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5
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Drug-dependent growth curve reshaping reveals mechanisms of antifungal resistance in Saccharomyces cerevisiae. Commun Biol 2022; 5:292. [PMID: 35361876 PMCID: PMC8971432 DOI: 10.1038/s42003-022-03228-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 03/07/2022] [Indexed: 11/15/2022] Open
Abstract
Microbial drug resistance is an emerging global challenge. Current drug resistance assays tend to be simplistic, ignoring complexities of resistance manifestations and mechanisms, such as multicellularity. Here, we characterize multicellular and molecular sources of drug resistance upon deleting the AMN1 gene responsible for clumping multicellularity in a budding yeast strain, causing it to become unicellular. Computational analysis of growth curve changes upon drug treatment indicates that the unicellular strain is more sensitive to four common antifungals. Quantitative models uncover entwined multicellular and molecular processes underlying these differences in sensitivity and suggest AMN1 as an antifungal target in clumping pathogenic yeasts. Similar experimental and mathematical modeling pipelines could reveal multicellular and molecular drug resistance mechanisms, leading to more effective treatments against various microbial infections and possibly even cancers. Combined growth curve experiments and quantitative modeling reveal antifungal responses of planktonic yeast, providing a future framework to examine antimicrobial drug resistance.
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Santos-Lopez A, Marshall CW, Haas AL, Turner C, Rasero J, Cooper VS. The roles of history, chance, and natural selection in the evolution of antibiotic resistance. eLife 2021; 10:e70676. [PMID: 34431477 PMCID: PMC8412936 DOI: 10.7554/elife.70676] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/24/2021] [Indexed: 12/20/2022] Open
Abstract
History, chance, and selection are the fundamental factors that drive and constrain evolution. We designed evolution experiments to disentangle and quantify effects of these forces on the evolution of antibiotic resistance. Previously, we showed that selection of the pathogen Acinetobacter baumannii in both structured and unstructured environments containing the antibiotic ciprofloxacin produced distinct genotypes and phenotypes, with lower resistance in biofilms as well as collateral sensitivity to β-lactam drugs (Santos-Lopez et al., 2019). Here we study how this prior history influences subsequent evolution in new β-lactam antibiotics. Selection was imposed by increasing concentrations of ceftazidime and imipenem and chance differences arose as random mutations among replicate populations. The effects of history were reduced by increasingly strong selection in new drugs, but not erased, at times revealing important contingencies. A history of selection in structured environments constrained resistance to new drugs and led to frequent loss of resistance to the initial drug by genetic reversions and not compensatory mutations. This research demonstrates that despite strong selective pressures of antibiotics leading to genetic parallelism, history can etch potential vulnerabilities to orthogonal drugs.
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Affiliation(s)
- Alfonso Santos-Lopez
- Department of Microbiology and Molecular Genetics, School of Medicine, University of PittsburghPittsburghUnited States
| | - Christopher W Marshall
- Department of Microbiology and Molecular Genetics, School of Medicine, University of PittsburghPittsburghUnited States
| | - Allison L Haas
- Department of Microbiology and Molecular Genetics, School of Medicine, University of PittsburghPittsburghUnited States
| | - Caroline Turner
- Department of Microbiology and Molecular Genetics, School of Medicine, University of PittsburghPittsburghUnited States
| | - Javier Rasero
- Department of Psychology, Carnegie Mellon UniversityPittsburghUnited States
| | - Vaughn S Cooper
- Department of Microbiology and Molecular Genetics, School of Medicine, University of PittsburghPittsburghUnited States
- Center for Evolutionary Biology and Medicine, University of PittsburghPittsburghUnited States
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7
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Isaksson H, Conlin PL, Kerr B, Ratcliff WC, Libby E. The Consequences of Budding versus Binary Fission on Adaptation and Aging in Primitive Multicellularity. Genes (Basel) 2021; 12:661. [PMID: 33924996 PMCID: PMC8145350 DOI: 10.3390/genes12050661] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/15/2021] [Accepted: 04/22/2021] [Indexed: 01/21/2023] Open
Abstract
Early multicellular organisms must gain adaptations to outcompete their unicellular ancestors, as well as other multicellular lineages. The tempo and mode of multicellular adaptation is influenced by many factors including the traits of individual cells. We consider how a fundamental aspect of cells, whether they reproduce via binary fission or budding, can affect the rate of adaptation in primitive multicellularity. We use mathematical models to study the spread of beneficial, growth rate mutations in unicellular populations and populations of multicellular filaments reproducing via binary fission or budding. Comparing populations once they reach carrying capacity, we find that the spread of mutations in multicellular budding populations is qualitatively distinct from the other populations and in general slower. Since budding and binary fission distribute age-accumulated damage differently, we consider the effects of cellular senescence. When growth rate decreases with cell age, we find that beneficial mutations can spread significantly faster in a multicellular budding population than its corresponding unicellular population or a population reproducing via binary fission. Our results demonstrate that basic aspects of the cell cycle can give rise to different rates of adaptation in multicellular organisms.
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Affiliation(s)
- Hanna Isaksson
- Department of Mathematics and Mathematical Statistics, Umeå University, 90187 Umeå, Sweden;
- Integrated Science Lab, Umeå University, 90187 Umeå, Sweden
| | - Peter L. Conlin
- Georgia Institute of Technology, School of Biological Sciences, Atlanta, GA 30332, USA; (P.L.C.); (W.C.R.)
| | - Ben Kerr
- Department of Biology, BEACON Center for the Study of Evolution in Action, University of Washington, Seattle, WA 98195, USA;
| | - William C. Ratcliff
- Georgia Institute of Technology, School of Biological Sciences, Atlanta, GA 30332, USA; (P.L.C.); (W.C.R.)
| | - Eric Libby
- Department of Mathematics and Mathematical Statistics, Umeå University, 90187 Umeå, Sweden;
- Integrated Science Lab, Umeå University, 90187 Umeå, Sweden
- Santa Fe Institute, Santa Fe, NM 87501, USA
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8
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Desjardins E, Kurtz J, Kranke N, Lindeza A, Richter SH. Beyond Standardization: Improving External Validity and Reproducibility in Experimental Evolution. Bioscience 2021. [DOI: 10.1093/biosci/biab008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Discussions of reproducibility are casting doubts on the credibility of experimental outcomes in the life sciences. Although experimental evolution is not typically included in these discussions, this field is also subject to low reproducibility, partly because of the inherent contingencies affecting the evolutionary process. A received view in experimental studies more generally is that standardization (i.e., rigorous homogenization of experimental conditions) is a solution to some issues of significance and internal validity. However, this solution hides several difficulties, including a reduction of external validity and reproducibility. After explaining the meaning of these two notions in the context of experimental evolution, we import from the fields of animal research and ecology and suggests that systematic heterogenization of experimental factors could prove a promising alternative. We also incorporate into our analysis some philosophical reflections on the nature and diversity of research objectives in experimental evolution.
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Affiliation(s)
- Eric Desjardins
- Rotman Institute of Philosophy, Department of Philosophy, University of Western Ontario, London, Ontario, Canada
| | | | | | | | - S Helene Richter
- RG Behavioural Biology and Animal Welfare, Institute of Neuro and Behavioural Biology all at the WWU, Münster, Germany
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9
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Niculescu VF. aCLS cancers: Genomic and epigenetic changes transform the cell of origin of cancer into a tumorigenic pathogen of unicellular organization and lifestyle. Gene 2020; 726:144174. [DOI: 10.1016/j.gene.2019.144174] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 10/13/2019] [Accepted: 10/15/2019] [Indexed: 02/08/2023]
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10
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Kuzdzal‐Fick JJ, Chen L, Balázsi G. Disadvantages and benefits of evolved unicellularity versus multicellularity in budding yeast. Ecol Evol 2019; 9:8509-8523. [PMID: 31410258 PMCID: PMC6686284 DOI: 10.1002/ece3.5322] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 04/15/2019] [Indexed: 12/18/2022] Open
Abstract
Multicellular organisms appeared on Earth through several independent major evolutionary transitions. Are such transitions reversible? Addressing this fundamental question entails understanding the benefits and costs of multicellularity versus unicellularity. For example, some wild yeast strains form multicellular clumps, which might be beneficial in stressful conditions, but this has been untested. Here, we show that unicellular yeast evolve from clump-forming ancestors by propagating samples from suspension after larger clumps have settled. Unicellular yeast strains differed from their clumping ancestors mainly by mutations in the AMN1 (Antagonist of Mitotic exit Network) gene. Ancestral yeast clumps were more resistant to freeze/thaw, hydrogen peroxide, and ethanol stressors than their unicellular counterparts, but they grew slower without stress. These findings suggest disadvantages and benefits to multicellularity and unicellularity that may have impacted the emergence of multicellular life forms.
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Affiliation(s)
- Jennie J. Kuzdzal‐Fick
- Department of Systems BiologyThe University of Texas MD Anderson Cancer CenterHoustonTexas
- Department of Biology and BiochemistryUniversity of HoustonHoustonTexas
| | - Lin Chen
- Department of Systems BiologyThe University of Texas MD Anderson Cancer CenterHoustonTexas
| | - Gábor Balázsi
- Department of Systems BiologyThe University of Texas MD Anderson Cancer CenterHoustonTexas
- Louis and Beatrice Laufer Center for Physical & Quantitative BiologyStony Brook UniversityStony BrookNew York
- Department of Biomedical EngineeringStony Brook UniversityStony BrookNew York
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11
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Simões P, Fragata I, Santos J, Santos MA, Santos M, Rose MR, Matos M. How phenotypic convergence arises in experimental evolution. Evolution 2019; 73:1839-1849. [DOI: 10.1111/evo.13806] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/12/2019] [Accepted: 06/15/2019] [Indexed: 12/29/2022]
Affiliation(s)
- Pedro Simões
- cE3c—Centre for Ecology, Evolution and Environmental Changes, Faculdade de CiênciasUniversidade de Lisboa Campo Grande 1749‐016 Lisboa Portugal
| | - Inês Fragata
- cE3c—Centre for Ecology, Evolution and Environmental Changes, Faculdade de CiênciasUniversidade de Lisboa Campo Grande 1749‐016 Lisboa Portugal
| | - Josiane Santos
- cE3c—Centre for Ecology, Evolution and Environmental Changes, Faculdade de CiênciasUniversidade de Lisboa Campo Grande 1749‐016 Lisboa Portugal
| | - Marta A. Santos
- cE3c—Centre for Ecology, Evolution and Environmental Changes, Faculdade de CiênciasUniversidade de Lisboa Campo Grande 1749‐016 Lisboa Portugal
| | - Mauro Santos
- Departament de Genètica i de Microbiologia, Grup de Genòmica, Bioinformàtica i Biologia Evolutiva (GGBE)Universitat Autonòma de Barcelona 08193 Barcelona Spain
| | - Michael R. Rose
- Department of Ecology and Evolutionary BiologyUniversity of California, Irvine Irvine California 92697
| | - Margarida Matos
- cE3c—Centre for Ecology, Evolution and Environmental Changes, Faculdade de CiênciasUniversidade de Lisboa Campo Grande 1749‐016 Lisboa Portugal
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