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Claramunt S. CladeDate
: Calibration information generator for divergence time estimation. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.13977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Santiago Claramunt
- Department of Natural History Royal Ontario Museum Toronto Ontario Canada
- Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada
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Vernygora OV, Campbell EO, Grishin NV, Sperling FA, Dupuis JR. Gauging ages of tiger swallowtail butterflies using alternate SNP analyses. Mol Phylogenet Evol 2022; 171:107465. [DOI: 10.1016/j.ympev.2022.107465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/26/2022] [Accepted: 03/15/2022] [Indexed: 10/18/2022]
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Carruthers T, Sun M, Baker WJ, Smith SA, de Vos JM, Eiserhardt WL. OUP accepted manuscript. Syst Biol 2022; 71:1124-1146. [PMID: 35167690 PMCID: PMC9366463 DOI: 10.1093/sysbio/syac012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 01/24/2022] [Accepted: 02/08/2022] [Indexed: 11/14/2022] Open
Abstract
Phylogenetic analyses are increasingly being performed with data sets that incorporate hundreds of loci. Due to incomplete lineage sorting, hybridization, and horizontal gene transfer, the gene trees for these loci may often have topologies that differ from each other and from the species tree. The effect of these topological incongruences on divergence time estimation has not been fully investigated. Using a series of simulation experiments and empirical analyses, we demonstrate that when topological incongruence between gene trees and the species tree is not accounted for, the temporal duration of branches in regions of the species tree that are affected by incongruence is underestimated, whilst the duration of other branches is considerably overestimated. This effect becomes more pronounced with higher levels of topological incongruence. We show that this pattern results from the erroneous estimation of the number of substitutions along branches in the species tree, although the effect is modulated by the assumptions inherent to divergence time estimation, such as those relating to the fossil record or among-branch-substitution-rate variation. By only analyzing loci with gene trees that are topologically congruent with the species tree, or only taking into account the branches from each gene tree that are topologically congruent with the species tree, we demonstrate that the effects of topological incongruence can be ameliorated. Nonetheless, even when topologically congruent gene trees or topologically congruent branches are selected, error in divergence time estimates remains. This stems from temporal incongruences between divergence times in species trees and divergence times in gene trees, and more importantly, the difficulty of incorporating necessary assumptions for divergence time estimation. [Divergence time estimation; gene trees; species tree; topological incongruence.]
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Affiliation(s)
- Tom Carruthers
- Correspondence to be sent to: Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK; E-mail:
| | - Miao Sun
- Department of Biology, Aarhus University, 8000 Aarhus C, Denmark
| | | | - Stephen A Smith
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Jurriaan M de Vos
- Department of Environmental Sciences – Botany, University of Basel, 4056 Basel, Switzerland
| | - Wolf L Eiserhardt
- Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK
- Department of Biology, Aarhus University, 8000 Aarhus C, Denmark
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Gaeta R. Ancient DNA and paleogenetics: risks and potentiality. Pathologica 2021; 113:141-146. [PMID: 34042097 PMCID: PMC8167392 DOI: 10.32074/1591-951x-146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 06/19/2020] [Indexed: 11/30/2022] Open
Abstract
Paleopathology, the science that studies the diseases of the past, has always been addressed to the future in the use of new diagnostic methods. One of its relatively recent branches is paleogenetics, which is the study of genetic material from the past. Nuclear and mitochondrial DNA recovered from archaeological and paleontological specimens is called ancient DNA (aDNA), which can be extracted from a large variety of biological materials, of different origin, state of preservation and age, such as bones, teeth, coprolites, mummified tissues and hairs. There are many applications for ancient DNA research in the field of archaeology and paleopathology: population demography, genealogy, disease studies, archaeological reconstruction of plant vegetation, calibration of the molecular clock, phylogenetic relationship between different mammals and interpretation of the paleoclimate. However, the study of ancient genetic material is extremely difficult due to its poor quality and quantity, as well possible contamination with modern DNA. New advanced methods will allow extracting DNA from a greater variety of materials, and improvements in sequencing techniques will unveil data that are currently concealed. The aim of this paper is to provide initial insights into paleogenetics and ancient DNA study and to illustrate the limits, risks and potentiality of the research on the genetic material of ancient specimens, whose results have a strong impact on the present and future medicine.
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Affiliation(s)
- Raffaele Gaeta
- Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, Italy
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Carruthers T, Scotland RW. The implications of interrelated assumptions on estimates of divergence times and rates of diversification. Syst Biol 2021; 70:1181-1199. [PMID: 33760070 DOI: 10.1093/sysbio/syab021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 03/16/2021] [Accepted: 03/22/2021] [Indexed: 11/15/2022] Open
Abstract
Phylogenies are increasingly being used as a basis to provide insight into macroevolutionary history. Here, we use simulation experiments and empirical analyses to evaluate methods that use phylogenies as a basis to make estimates of divergence times and rates of diversification. This is the first study to present a comprehensive assessment of the key variables that underpin analyses in this field - including substitution rates, speciation rates, and extinction, plus character sampling and taxon sampling. We show that in unrealistically simplistic cases (where substitution rates and speciation rates are constant, and where there is no extinction), increased character and taxon sampling lead to more accurate and precise parameter estimates. By contrast, in more complex but realistic cases (where substitution rates, speciation rates, and extinction rates vary), gains in accuracy and precision from increased character and taxon sampling are far more limited. The lack of accuracy and precision even occurs when using methods that are designed to account for more complex cases, such as relaxed clocks, fossil calibrations, and models that allow speciation rates and extinction rates to vary. The problem also persists when analysing genomic scale datasets. These results suggest two interrelated problems that occur when the processes that generated the data are more complex. First, methodological assumptions are more likely to be violated. Second, limitations in the information content of the data become more important.
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Affiliation(s)
- Tom Carruthers
- Royal Botanic Gardens Kew, Richmond, London, TW9 3AE, United Kingdom
| | - Robert W Scotland
- Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, United Kingdom
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Couvreur TL, Dauby G, Blach‐Overgaard A, Deblauwe V, Dessein S, Droissart V, Hardy OJ, Harris DJ, Janssens SB, Ley AC, Mackinder BA, Sonké B, Sosef MS, Stévart T, Svenning J, Wieringa JJ, Faye A, Missoup AD, Tolley KA, Nicolas V, Ntie S, Fluteau F, Robin C, Guillocheau F, Barboni D, Sepulchre P. Tectonics, climate and the diversification of the tropical African terrestrial flora and fauna. Biol Rev Camb Philos Soc 2021; 96:16-51. [PMID: 32924323 PMCID: PMC7821006 DOI: 10.1111/brv.12644] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 08/07/2020] [Accepted: 08/13/2020] [Indexed: 12/30/2022]
Abstract
Tropical Africa is home to an astonishing biodiversity occurring in a variety of ecosystems. Past climatic change and geological events have impacted the evolution and diversification of this biodiversity. During the last two decades, around 90 dated molecular phylogenies of different clades across animals and plants have been published leading to an increased understanding of the diversification and speciation processes generating tropical African biodiversity. In parallel, extended geological and palaeoclimatic records together with detailed numerical simulations have refined our understanding of past geological and climatic changes in Africa. To date, these important advances have not been reviewed within a common framework. Here, we critically review and synthesize African climate, tectonics and terrestrial biodiversity evolution throughout the Cenozoic to the mid-Pleistocene, drawing on recent advances in Earth and life sciences. We first review six major geo-climatic periods defining tropical African biodiversity diversification by synthesizing 89 dated molecular phylogeny studies. Two major geo-climatic factors impacting the diversification of the sub-Saharan biota are highlighted. First, Africa underwent numerous climatic fluctuations at ancient and more recent timescales, with tectonic, greenhouse gas, and orbital forcing stimulating diversification. Second, increased aridification since the Late Eocene led to important extinction events, but also provided unique diversification opportunities shaping the current tropical African biodiversity landscape. We then review diversification studies of tropical terrestrial animal and plant clades and discuss three major models of speciation: (i) geographic speciation via vicariance (allopatry); (ii) ecological speciation impacted by climate and geological changes, and (iii) genomic speciation via genome duplication. Geographic speciation has been the most widely documented to date and is a common speciation model across tropical Africa. We conclude with four important challenges faced by tropical African biodiversity research: (i) to increase knowledge by gathering basic and fundamental biodiversity information; (ii) to improve modelling of African geophysical evolution throughout the Cenozoic via better constraints and downscaling approaches; (iii) to increase the precision of phylogenetic reconstruction and molecular dating of tropical African clades by using next generation sequencing approaches together with better fossil calibrations; (iv) finally, as done here, to integrate data better from Earth and life sciences by focusing on the interdisciplinary study of the evolution of tropical African biodiversity in a wider geodiversity context.
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Affiliation(s)
| | - Gilles Dauby
- AMAP Lab, IRD, CIRAD, CNRS, INRAUniversity of MontpellierMontpellierFrance
- Laboratoire d'évolution Biologique et Ecologie, Faculté des SciencesUniversité Libre de BruxellesCP160/12, Avenue F.D. Roosevelt 50Brussels1050Belgium
| | - Anne Blach‐Overgaard
- Section for Ecoinformatics & Biodiversity, Department of BiologyAarhus UniversityNy Munkegade 114Aarhus CDK‐8000Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of BiologyAarhus UniversityNy Munkegade 114Aarhus CDK‐8000Denmark
| | - Vincent Deblauwe
- Center for Tropical Research (CTR), Institute of the Environment and SustainabilityUniversity of California, Los Angeles (UCLA)Los AngelesCA90095U.S.A.
- International Institute of Tropical Agriculture (IITA)YaoundéCameroon
| | | | - Vincent Droissart
- AMAP Lab, IRD, CIRAD, CNRS, INRAUniversity of MontpellierMontpellierFrance
- Laboratoire de Botanique Systématique et d'Écologie, École Normale SupérieureUniversité de Yaoundé IPO Box 047YaoundéCameroon
- Herbarium et Bibliothèque de Botanique AfricaineUniversité Libre de BruxellesBoulevard du TriompheBrusselsB‐1050Belgium
- Africa & Madagascar DepartmentMissouri Botanical GardenSt. LouisMOU.S.A.
| | - Oliver J. Hardy
- Laboratoire d'évolution Biologique et Ecologie, Faculté des SciencesUniversité Libre de BruxellesCP160/12, Avenue F.D. Roosevelt 50Brussels1050Belgium
| | - David J. Harris
- Royal Botanic Garden Edinburgh20A Inverleith RowEdinburghU.K.
| | | | - Alexandra C. Ley
- Institut für Geobotanik und Botanischer GartenUniversity Halle‐WittenbergNeuwerk 21Halle06108Germany
| | | | - Bonaventure Sonké
- Laboratoire de Botanique Systématique et d'Écologie, École Normale SupérieureUniversité de Yaoundé IPO Box 047YaoundéCameroon
| | | | - Tariq Stévart
- Herbarium et Bibliothèque de Botanique AfricaineUniversité Libre de BruxellesBoulevard du TriompheBrusselsB‐1050Belgium
- Africa & Madagascar DepartmentMissouri Botanical GardenSt. LouisMOU.S.A.
| | - Jens‐Christian Svenning
- Section for Ecoinformatics & Biodiversity, Department of BiologyAarhus UniversityNy Munkegade 114Aarhus CDK‐8000Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of BiologyAarhus UniversityNy Munkegade 114Aarhus CDK‐8000Denmark
| | - Jan J. Wieringa
- Naturalis Biodiversity CenterDarwinweg 2Leiden2333 CRThe Netherlands
| | - Adama Faye
- Laboratoire National de Recherches sur les Productions Végétales (LNRPV)Institut Sénégalais de Recherches Agricoles (ISRA)Route des Hydrocarbures, Bel Air BP 1386‐ CP18524DakarSenegal
| | - Alain D. Missoup
- Zoology Unit, Laboratory of Biology and Physiology of Animal Organisms, Faculty of ScienceUniversity of DoualaPO Box 24157DoualaCameroon
| | - Krystal A. Tolley
- South African National Biodiversity InstituteKirstenbosch Research CentrePrivate Bag X7, ClaremontCape Town7735South Africa
- School of Animal, Plant and Environmental SciencesUniversity of the WitwatersrandPrivate Bag 3Wits2050South Africa
| | - Violaine Nicolas
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHEUniversité des AntillesCP51, 57 rue CuvierParis75005France
| | - Stéphan Ntie
- Département de Biologie, Faculté des SciencesUniversité des Sciences et Techniques de MasukuFrancevilleBP 941Gabon
| | - Frédiéric Fluteau
- Institut de Physique du Globe de Paris, CNRSUniversité de ParisParisF‐75005France
| | - Cécile Robin
- CNRS, Géosciences Rennes, UMR6118University of RennesRennes35042France
| | | | - Doris Barboni
- CEREGE, Aix‐Marseille University, CNRS, IRD, Collège de France, INRA, Technopole Arbois MéditerranéeBP80Aix‐en‐Provence cedex413545France
| | - Pierre Sepulchre
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA‐CNRS‐UVSQUniversité Paris‐SaclayGif‐sur‐YvetteF‐91191France
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Abstract
Understanding and representing uncertainty is crucial in academic research because it enables studies to build on the conclusions of previous studies, leading to robust advances in a particular field. Here, we evaluate the nature of uncertainty and the manner by which it is represented in divergence time estimation, a field that is fundamental to many aspects of macroevolutionary research, and where there is evidence that uncertainty has been seriously underestimated. We address this issue in the context of methods used in divergence time estimation, and with respect to the manner by which time-calibrated phylogenies are interpreted. With respect to methods, we discuss how the assumptions underlying different methods may not adequately reflect uncertainty about molecular evolution, the fossil record, or diversification rates. Therefore, divergence time estimates may not adequately reflect uncertainty and may be directly contradicted by subsequent findings. For the interpretation of time-calibrated phylogenies, we discuss how the use of time-calibrated phylogenies for reconstructing general evolutionary timescales leads to inferences about macroevolution that are highly sensitive to methodological limitations in how uncertainty is accounted for. By contrast, we discuss how the use of time-calibrated phylogenies to test specific hypotheses leads to inferences about macroevolution that are less sensitive to methodological limitations. Given that many biologists wish to use time-calibrated phylogenies to reconstruct general evolutionary timescales, we conclude that the development of methods of divergence time estimation that adequately account for uncertainty is necessary. [Divergence time estimation; macroevolution; uncertainty.].
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Affiliation(s)
- Tom Carruthers
- Department of Comparative Plant and Fungal Biology, Royal Botanic Gardens Kew, Richmond, London, TW9 3AE, UK
| | - Robert W Scotland
- Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK
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