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Taurozzi AJ, Rüther PL, Patramanis I, Koenig C, Sinclair Paterson R, Madupe PP, Harking FS, Welker F, Mackie M, Ramos-Madrigal J, Olsen JV, Cappellini E. Deep-time phylogenetic inference by paleoproteomic analysis of dental enamel. Nat Protoc 2024; 19:2085-2116. [PMID: 38671208 DOI: 10.1038/s41596-024-00975-3] [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: 03/14/2023] [Accepted: 01/12/2024] [Indexed: 04/28/2024]
Abstract
In temperate and subtropical regions, ancient proteins are reported to survive up to about 2 million years, far beyond the known limits of ancient DNA preservation in the same areas. Accordingly, their amino acid sequences currently represent the only source of genetic information available to pursue phylogenetic inference involving species that went extinct too long ago to be amenable for ancient DNA analysis. Here we present a complete workflow, including sample preparation, mass spectrometric data acquisition and computational analysis, to recover and interpret million-year-old dental enamel protein sequences. During sample preparation, the proteolytic digestion step, usually an integral part of conventional bottom-up proteomics, is omitted to increase the recovery of the randomly degraded peptides spontaneously generated by extensive diagenetic hydrolysis of ancient proteins over geological time. Similarly, we describe other solutions we have adopted to (1) authenticate the endogenous origin of the protein traces we identify, (2) detect and validate amino acid variation in the ancient protein sequences and (3) attempt phylogenetic inference. Sample preparation and data acquisition can be completed in 3-4 working days, while subsequent data analysis usually takes 2-5 days. The workflow described requires basic expertise in ancient biomolecules analysis, mass spectrometry-based proteomics and molecular phylogeny. Finally, we describe the limits of this approach and its potential for the reconstruction of evolutionary relationships in paleontology and paleoanthropology.
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Affiliation(s)
| | - Patrick L Rüther
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | | | - Claire Koenig
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | | | - Palesa P Madupe
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Florian Simon Harking
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Frido Welker
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Meaghan Mackie
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | | | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
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Sousa FD, Bertrand YJ, Zizka A, Cangrén P, Oxelman B, Pfeil BE. Chloroplast genome and nuclear loci data for 71 Medicago species. Data Brief 2024; 54:110540. [PMID: 38868387 PMCID: PMC11166683 DOI: 10.1016/j.dib.2024.110540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/15/2024] [Accepted: 05/13/2024] [Indexed: 06/14/2024] Open
Abstract
We present a dataset containing nuclear and chloroplast sequences for 71 species in genus Medicago (Fabaceae), as well as for 8 species in genera Melilotus and Trigonella. Sequence data for a total of 130 samples was obtained with high-throughput sequencing of enriched genomic DNA libraries targeting 61 single-copy nuclear genes from across the Medicago truncatula genome. Chloroplast sequence reads were also generated, allowing for the recovery of chloroplast genome sequences for all 130 samples. A fully-resolved phylogenetic tree was inferred from the chloroplast dataset using maximum-likelihoood methods. More than 80% of accepted Medicago species are represented in this dataset, including three subspecies of Medicago sativa (alfalfa). These data can be further utilised for phylogenetic analyses in Medicago and related genera, but also for probe and primer design and plant breeding studies.
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Affiliation(s)
- Filipe de Sousa
- cE3c-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
| | - Yann J.K. Bertrand
- Institute of Botany, Academy of Sciences of the Czech Republic, CZ-252 43 Průhonice, Czech Republic
| | - Alexander Zizka
- Department of Biology, Philipps-University Marburg, Karl-von-Frisch-Strape 8, 35043 Marburg, Germany
| | - Patrik Cangrén
- Department of Biological and Environmental Sciences, University of Gothenburg, Medicinaregatan 7B, Göteborg 413 90, Sweden
| | - Bengt Oxelman
- Department of Biological and Environmental Sciences, University of Gothenburg, Medicinaregatan 7B, Göteborg 413 90, Sweden
| | - Bernard E. Pfeil
- Department of Biological and Environmental Sciences, University of Gothenburg, Medicinaregatan 7B, Göteborg 413 90, Sweden
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3
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Jones KE, Fér T, Schmickl RE, Dikow RB, Funk VA, Herrando‐Moraira S, Johnston PR, Kilian N, Siniscalchi CM, Susanna A, Slovák M, Thapa R, Watson LE, Mandel JR. An empirical assessment of a single family-wide hybrid capture locus set at multiple evolutionary timescales in Asteraceae. APPLICATIONS IN PLANT SCIENCES 2019; 7:e11295. [PMID: 31667023 PMCID: PMC6814182 DOI: 10.1002/aps3.11295] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 09/05/2019] [Indexed: 05/23/2023]
Abstract
PREMISE Hybrid capture with high-throughput sequencing (Hyb-Seq) is a powerful tool for evolutionary studies. The applicability of an Asteraceae family-specific Hyb-Seq probe set and the outcomes of different phylogenetic analyses are investigated here. METHODS Hyb-Seq data from 112 Asteraceae samples were organized into groups at different taxonomic levels (tribe, genus, and species). For each group, data sets of non-paralogous loci were built and proportions of parsimony informative characters estimated. The impacts of analyzing alternative data sets, removing long branches, and type of analysis on tree resolution and inferred topologies were investigated in tribe Cichorieae. RESULTS Alignments of the Asteraceae family-wide Hyb-Seq locus set were parsimony informative at all taxonomic levels. Levels of resolution and topologies inferred at shallower nodes differed depending on the locus data set and the type of analysis, and were affected by the presence of long branches. DISCUSSION The approach used to build a Hyb-Seq locus data set influenced resolution and topologies inferred in phylogenetic analyses. Removal of long branches improved the reliability of topological inferences in maximum likelihood analyses. The Astereaceae Hyb-Seq probe set is applicable at multiple taxonomic depths, which demonstrates that probe sets do not necessarily need to be lineage-specific.
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Affiliation(s)
- Katy E. Jones
- Botanischer Garten und Botanisches Museum BerlinFreie Universität BerlinKönigin‐Luise‐Str. 6–814195BerlinGermany
| | - Tomáš Fér
- Department of BotanyFaculty of ScienceCharles UniversityBenátská 2CZ 12800PragueCzech Republic
| | - Roswitha E. Schmickl
- Department of BotanyFaculty of ScienceCharles UniversityBenátská 2CZ 12800PragueCzech Republic
- Institute of BotanyThe Czech Academy of SciencesZámek 1CZ 25243PrůhoniceCzech Republic
| | - Rebecca B. Dikow
- Data Science LabOffice of the Chief Information OfficerSmithsonian InstitutionWashingtonD.C.20013‐7012USA
| | - Vicki A. Funk
- Department of BotanyNational Museum of Natural HistorySmithsonian InstitutionWashingtonD.C.20013‐7012USA
| | | | - Paul R. Johnston
- Freie Universität BerlinEvolutionary BiologyBerlinGermany
- Berlin Center for Genomics in Biodiversity ResearchBerlinGermany
- Leibniz‐Institute of Freshwater Ecology and Inland Fisheries (IGB)BerlinGermany
| | - Norbert Kilian
- Botanischer Garten und Botanisches Museum BerlinFreie Universität BerlinKönigin‐Luise‐Str. 6–814195BerlinGermany
| | - Carolina M. Siniscalchi
- Department of Biological SciencesUniversity of MemphisMemphisTennessee38152USA
- Center for BiodiversityUniversity of MemphisMemphisTennessee38152USA
| | - Alfonso Susanna
- Botanic Institute of Barcelona (IBB‐CSIC‐ICUB)Pg. del Migdia s.n.ES 08038BarcelonaSpain
| | - Marek Slovák
- Department of BotanyFaculty of ScienceCharles UniversityBenátská 2CZ 12800PragueCzech Republic
- Plant Science and Biodiversity CentreSlovak Academy of SciencesSK‐84523BratislavaSlovakia
| | - Ramhari Thapa
- Department of Biological SciencesUniversity of MemphisMemphisTennessee38152USA
- Center for BiodiversityUniversity of MemphisMemphisTennessee38152USA
| | - Linda E. Watson
- Department of Plant Biology, Ecology, and EvolutionOklahoma State UniversityStillwaterOklahoma74078USA
| | - Jennifer R. Mandel
- Department of Biological SciencesUniversity of MemphisMemphisTennessee38152USA
- Center for BiodiversityUniversity of MemphisMemphisTennessee38152USA
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4
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Blanco-Pastor JL, Bertrand YJK, Liberal IM, Wei Y, Brummer EC, Pfeil BE. Evolutionary networks from RADseq loci point to hybrid origins of Medicago carstiensis and Medicago cretacea. AMERICAN JOURNAL OF BOTANY 2019; 106:1219-1228. [PMID: 31535720 DOI: 10.1002/ajb2.1352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 07/12/2019] [Indexed: 06/10/2023]
Abstract
PREMISE Although hybridization has played an important role in the evolution of many plant species, phylogenetic reconstructions that include hybridizing lineages have been historically constrained by the available models and data. Restriction-site-associated DNA sequencing (RADseq) has been a popular sequencing technique for the reconstruction of hybridization in the next-generation sequencing era. However, the utility of RADseq for the reconstruction of complex evolutionary networks has not been thoroughly investigated. Conflicting phylogenetic relationships in the genus Medicago have been mainly attributed to hybridization, but the specific hybrid origins of taxa have not been yet clarified. METHODS We obtained new molecular data from diploid species of Medicago section Medicago using single-digest RADseq to reconstruct evolutionary networks from gene trees, an approach that is computationally tractable with data sets that include several species and complex hybridization patterns. RESULTS Our analyses revealed that assembly filters to exclusively select a small set of loci with high phylogenetic information led to the most-divergent network topologies. Conversely, alternative clustering thresholds or filters on the number of samples per locus had a lower impact on networks. A strong hybridization signal was detected for M. carstiensis and M. cretacea, while signals were less clear for M. rugosa, M. rhodopea, M. suffruticosa, M. marina, M. scutellata, and M. sativa. CONCLUSIONS Complex network reconstructions from RADseq gene trees were not robust under variations of the assembly parameters and filters. But when the most-divergent networks were discarded, all remaining analyses consistently supported a hybrid origin for M. carstiensis and M. cretacea.
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Affiliation(s)
- José Luis Blanco-Pastor
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Göteborg, Sweden
- INRA, Centre Nouvelle-Aquitaine-Poitiers, UR4 (URP3F), 86600, Lusignan, France
| | - Yann J K Bertrand
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Göteborg, Sweden
- Institute of Botany, Czech Academy of Sciences, Zámek 1, 25243, Průhonice, Czech Republic
| | | | - Yanling Wei
- Plant Breeding Center, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
| | - E Charles Brummer
- Plant Breeding Center, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
| | - Bernard E Pfeil
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Göteborg, Sweden
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Zhang LN, Ma PF, Zhang YX, Zeng CX, Zhao L, Li DZ. Using nuclear loci and allelic variation to disentangle the phylogeny of Phyllostachys (Poaceae, Bambusoideae). Mol Phylogenet Evol 2019; 137:222-235. [PMID: 31112779 DOI: 10.1016/j.ympev.2019.05.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 05/16/2019] [Accepted: 05/17/2019] [Indexed: 11/18/2022]
Abstract
With the development of sequencing technologies, the use of multiple nuclear genes has become conventional for resolving difficult phylogenies. However, this technique also presents challenges due to gene-tree discordance, as a result of incomplete lineage sorting (ILS) and reticulate evolution. Although alleles can show sequence variation within individuals, which contain information regarding the evolution of organisms, they continue to be ignored in almost all phylogenetic analyses using randomly phased genome sequences. Here, we tried to incorporate alleles from multiple nuclear loci to study the phylogeny of the economically important bamboo genus Phyllostachys (Poaceae, Bambusoideae). Obtaining a total of 3926 sequences, we documented extensive allelic variation for 61 genes from 39 sampled species. Using datasets consisting of selected alleles, we demonstrated substantial discordance among phylogenetic relationships inferred from different alleles, as well as between concatenation and coalescent methods. Furthermore, ILS and hybridization were suggested to be underlying causes of the discordant phylogenetic signals. Taking these possible causes for conflicting phylogenetic results into consideration, we recovered the monophyly of Phyllostachys and its two morphology-defined sections. Our study also suggests that alleles deserve more attention in phylogenetic studies, since ignoring them can yield highly supported but spurious phylogenies. Meanwhile, alleles are helpful for unraveling complex evolutionary processes, particularly hybridization.
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Affiliation(s)
- Li-Na Zhang
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; College of Life Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Peng-Fei Ma
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Yu-Xiao Zhang
- Yunnan Academy of Biodiversity, Southwest Forestry University, Kunming, Yunnan 650224, China
| | - Chun-Xia Zeng
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Lei Zhao
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - De-Zhu Li
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
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Bravo GA, Antonelli A, Bacon CD, Bartoszek K, Blom MPK, Huynh S, Jones G, Knowles LL, Lamichhaney S, Marcussen T, Morlon H, Nakhleh LK, Oxelman B, Pfeil B, Schliep A, Wahlberg N, Werneck FP, Wiedenhoeft J, Willows-Munro S, Edwards SV. Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics. PeerJ 2019; 7:e6399. [PMID: 30783571 PMCID: PMC6378093 DOI: 10.7717/peerj.6399] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 01/07/2019] [Indexed: 12/23/2022] Open
Abstract
Building the Tree of Life (ToL) is a major challenge of modern biology, requiring advances in cyberinfrastructure, data collection, theory, and more. Here, we argue that phylogenomics stands to benefit by embracing the many heterogeneous genomic signals emerging from the first decade of large-scale phylogenetic analysis spawned by high-throughput sequencing (HTS). Such signals include those most commonly encountered in phylogenomic datasets, such as incomplete lineage sorting, but also those reticulate processes emerging with greater frequency, such as recombination and introgression. Here we focus specifically on how phylogenetic methods can accommodate the heterogeneity incurred by such population genetic processes; we do not discuss phylogenetic methods that ignore such processes, such as concatenation or supermatrix approaches or supertrees. We suggest that methods of data acquisition and the types of markers used in phylogenomics will remain restricted until a posteriori methods of marker choice are made possible with routine whole-genome sequencing of taxa of interest. We discuss limitations and potential extensions of a model supporting innovation in phylogenomics today, the multispecies coalescent model (MSC). Macroevolutionary models that use phylogenies, such as character mapping, often ignore the heterogeneity on which building phylogenies increasingly rely and suggest that assimilating such heterogeneity is an important goal moving forward. Finally, we argue that an integrative cyberinfrastructure linking all steps of the process of building the ToL, from specimen acquisition in the field to publication and tracking of phylogenomic data, as well as a culture that values contributors at each step, are essential for progress.
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Affiliation(s)
- Gustavo A. Bravo
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - Alexandre Antonelli
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
- Gothenburg Global Biodiversity Centre, Göteborg, Sweden
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
- Gothenburg Botanical Garden, Göteborg, Sweden
| | - Christine D. Bacon
- Gothenburg Global Biodiversity Centre, Göteborg, Sweden
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
| | - Krzysztof Bartoszek
- Department of Computer and Information Science, Linköping University, Linköping, Sweden
| | - Mozes P. K. Blom
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Stella Huynh
- Institut de Biologie, Université de Neuchâtel, Neuchâtel, Switzerland
| | - Graham Jones
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
| | - L. Lacey Knowles
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Sangeet Lamichhaney
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - Thomas Marcussen
- Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
| | - Hélène Morlon
- Institut de Biologie, Ecole Normale Supérieure de Paris, Paris, France
| | - Luay K. Nakhleh
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Bengt Oxelman
- Gothenburg Global Biodiversity Centre, Göteborg, Sweden
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
| | - Bernard Pfeil
- Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
| | - Alexander Schliep
- Department of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Göteborg, Sweden
| | | | - Fernanda P. Werneck
- Coordenação de Biodiversidade, Programa de Coleções Científicas Biológicas, Instituto Nacional de Pesquisa da Amazônia, Manaus, AM, Brazil
| | - John Wiedenhoeft
- Department of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Göteborg, Sweden
- Department of Computer Science, Rutgers University, Piscataway, NJ, USA
| | - Sandi Willows-Munro
- School of Life Sciences, University of Kwazulu-Natal, Pietermaritzburg, South Africa
| | - Scott V. Edwards
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
- Gothenburg Centre for Advanced Studies in Science and Technology, Chalmers University of Technology and University of Gothenburg, Göteborg, Sweden
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Eriksson JS, de Sousa F, Bertrand YJK, Antonelli A, Oxelman B, Pfeil BE. Allele phasing is critical to revealing a shared allopolyploid origin of Medicago arborea and M. strasseri (Fabaceae). BMC Evol Biol 2018; 18:9. [PMID: 29374461 PMCID: PMC5787288 DOI: 10.1186/s12862-018-1127-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 01/22/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Whole genome duplication plays a central role in plant evolution. There are two main classes of polyploid formation: autopolyploids which arise within one species by doubling of similar homologous genomes; in contrast, allopolyploidy (hybrid polyploidy) arise via hybridization and subsequent doubling of nonhomologous (homoeologous) genomes. The distinction between polyploid origins can be made using gene phylogenies, if alleles from each genome can be correctly retrieved. We examined whether two closely related tetraploid Mediterranean shrubs (Medicago arborea and M. strasseri) have an allopolyploid origin - a question that has remained unsolved despite substantial previous research. We sequenced and analyzed ten low-copy nuclear genes from these and related species, phasing all alleles. To test the efficacy of allele phasing on the ability to recover the evolutionary origin of polyploids, we compared these results to analyses using unphased sequences. RESULTS In eight of the gene trees the alleles inferred from the tetraploids formed two clades, in a non-sister relationship. Each of these clades was more closely related to alleles sampled from other species of Medicago, a pattern typical of allopolyploids. However, we also observed that alleles from one of the remaining genes formed two clades that were sister to one another, as is expected for autopolyploids. Trees inferred from unphased sequences were very different, with the tetraploids often placed in poorly supported and different positions compared to results obtained using phased alleles. CONCLUSIONS The complex phylogenetic history of M. arborea and M. strasseri is explained predominantly by shared allotetraploidy. We also observed that an increase in woodiness is correlated with polyploidy in this group of species and present a new possibility that woodiness could be a transgressive phenotype. Correctly phased homoeologues are likely to be critical for inferring the hybrid origin of allopolyploid species, when most genes retain more than one homoeologue. Ignoring homoeologous variation by merging the homoeologues can obscure the signal of hybrid polyploid origins and produce inaccurate results.
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Affiliation(s)
- Jonna S Eriksson
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Gothenburg, Sweden. .,Gothenburg Global Biodiversity Centre, Box 461, SE-405 30, Göteborg, Sweden.
| | - Filipe de Sousa
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Gothenburg, Sweden
| | - Yann J K Bertrand
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Gothenburg, Sweden
| | - Alexandre Antonelli
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Gothenburg, Sweden.,Gothenburg Global Biodiversity Centre, Box 461, SE-405 30, Göteborg, Sweden.,Gothenburg Botanical Garden, SE-41319, Göteborg, Sweden
| | - Bengt Oxelman
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Gothenburg, Sweden.,Gothenburg Global Biodiversity Centre, Box 461, SE-405 30, Göteborg, Sweden
| | - Bernard E Pfeil
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 40530, Gothenburg, Sweden.,Gothenburg Global Biodiversity Centre, Box 461, SE-405 30, Göteborg, Sweden
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8
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Oxelman B, Brysting AK, Jones GR, Marcussen T, Oberprieler C, Pfeil BE. Phylogenetics of Allopolyploids. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2017. [DOI: 10.1146/annurev-ecolsys-110316-022729] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Bengt Oxelman
- Gothenburg Global Biodiversity Centre, Department of Biology and Environmental Sciences, University of Gothenburg, SE405 30 Göteborg, Sweden
| | - Anne Krag Brysting
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, NO-0316 Oslo, Norway
| | - Graham R. Jones
- Gothenburg Global Biodiversity Centre, Department of Biology and Environmental Sciences, University of Gothenburg, SE405 30 Göteborg, Sweden
| | - Thomas Marcussen
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, NO-0316 Oslo, Norway
| | - Christoph Oberprieler
- Evolutionary and Systematic Botany Group, Institute of Plant Sciences, University of Regensburg, D-93053 Regensburg, Germany
| | - Bernard E. Pfeil
- Gothenburg Global Biodiversity Centre, Department of Biology and Environmental Sciences, University of Gothenburg, SE405 30 Göteborg, Sweden
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9
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Song J, Zheng S, Nguyen N, Wang Y, Zhou Y, Lin K. Integrated pipeline for inferring the evolutionary history of a gene family embedded in the species tree: a case study on the STIMATE gene family. BMC Bioinformatics 2017; 18:439. [PMID: 28974198 PMCID: PMC5627428 DOI: 10.1186/s12859-017-1850-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 09/26/2017] [Indexed: 11/28/2022] Open
Abstract
Background Because phylogenetic inference is an important basis for answering many evolutionary problems, a large number of algorithms have been developed. Some of these algorithms have been improved by integrating gene evolution models with the expectation of accommodating the hierarchy of evolutionary processes. To the best of our knowledge, however, there still is no single unifying model or algorithm that can take all evolutionary processes into account through a stepwise or simultaneous method. Results On the basis of three existing phylogenetic inference algorithms, we built an integrated pipeline for inferring the evolutionary history of a given gene family; this pipeline can model gene sequence evolution, gene duplication-loss, gene transfer and multispecies coalescent processes. As a case study, we applied this pipeline to the STIMATE (TMEM110) gene family, which has recently been reported to play an important role in store-operated Ca2+ entry (SOCE) mediated by ORAI and STIM proteins. We inferred their phylogenetic trees in 69 sequenced chordate genomes. Conclusions By integrating three tree reconstruction algorithms with diverse evolutionary models, a pipeline for inferring the evolutionary history of a gene family was developed, and its application was demonstrated. Electronic supplementary material The online version of this article (10.1186/s12859-017-1850-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jia Song
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Sisi Zheng
- Beijing Key Laboratory of Gene Resources and Molecular Development College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Nhung Nguyen
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Department of Medical Physiology, College of Medicine, Texas A&M University, Houston, TX, 77030, USA
| | - Youjun Wang
- Beijing Key Laboratory of Gene Resources and Molecular Development College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yubin Zhou
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Department of Medical Physiology, College of Medicine, Texas A&M University, Houston, TX, 77030, USA
| | - Kui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.
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