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Published April 27, 2022 | Version version 3
Dataset Open

Biogeographic history of a large clade of ectomycorrhizal fungi, the Russulaceae, in the Neotropics and adjacent regions

  • 1. Comparative Plant and Fungal Biology, Royal Botanic Gardens, Kew, Richmond, United Kingdom; Laboratoire Evolution et Diversité Biologique (UMR 5174), Université Toulouse III – Paul Sabatier/CNRS/IRD, Toulouse, France
  • 2. Department of Biological Sciences, Humboldt State University, Arcata, CA, USA
  • 3. Faculté de Pharmacie, Université de Lille, Laboratoire des Sciences Végétales et Fongiques (LGCgE, ER4), Lille, France
  • 4. Department of Biology, Ghent University, Gent, Belgium
  • 5. Centro Universitário de João Pessoa, João Pessoa, Paraíba, Brazil
  • 6. Institut de Systématique, Évolution, Biodiversité (CNRS, Sorbonne Université, EPHE), Muséum national d'Histoire naturelle, Paris, France
  • 7. Departamento de Botânica, Universidade Federal de Santa Catarina, Florianópolis, Brazil
  • 8. Microbiología Ambiental–School of Microbiology, Laboratory of Taxonomy and Ecology of Fungi–Institute of Biology, University of Antioquia, Medellín, Colombia
  • 9. Departamento de Sistemática e Ecologia, Universidade Federal da Paraíba, Brazil
  • 10. UMR Ecologie des Forêts de Guyane, AgroParisTech/CIRAD/CNRS/Université des Antilles/Université de la Guyane/INRA, Kourou, French Guiana
  • 11. Axe 2 "Diversités biologique et fonctionelle des écosystèmes terrestres", Institut Agronomique Néo-Calédonien (IAC), Nouméa, New Caledonia
  • 12. Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia, Chile
  • 13. Laboratoire Evolution et Diversité Biologique (UMR 5174), Université Toulouse III – Paul Sabatier/CNRS/IRD, Toulouse, France
  • 14. Laboratoire Evolution et Diversité Biologique (UMR 5174), Université Toulouse III – Paul Sabatier/CNRS/IRD, Toulouse, France; Instituto Franco-Argentino para el Estudio del Clima y sus Impactos (UMI IFAECI/CNRS-CONICET-UBA-IRD), Universidad de Buenos Aires, Ciudad Autonoma de Buenos Aires - Argentina

Description

## Sequences and alignments

backbone_concat.fasta - Concatenated LSU-rpb1-rpb2 alignment for 372 backbone taxa.

backbone_concat_part.txt - Gene partitions and substitution models applied to the backbone alignment.

einsi_clade1_Russula_trimmed.fasta - Alignment of 2,279 representative ITS sequences in the Russula clade; alignment end columns with >90% missing data/gaps were trimmed.

einsi_clade2_LactariusMultifurca_trimmed.fasta - Alignment of 621 representative ITS sequences in the Lactarius-Multifurca clade; alignment end columns with >90% missing data/gaps were trimmed.

einsi_clade3_Lactifluus_trimmed.fasta - Alignment of 482 representative ITS sequences in the Lactifluus clade; alignment end columns with >90% missing data/gaps were trimmed.

 

## Phylogenetic trees

backbone_calibrated.nwk - Time-calibrated Russulaceae backbone phylogeny.

backbone_TBE.raxml.support - Russulaceae backbone phylogeny annotated with transfer bootstrap expectation support values.

clade1_Russula_TBE.raxml.support - Russula subclade ITS phylogeny (2,279 tips), annotated with transfer bootstrap expectation support values.

clade2_LactariusMultifurca_TBE.raxml.support - Lactarius-Multifurca subclade ITS phylogeny (621 tips), annotated with transfer bootstrap expectation support values.

clade3_Lactifluus_TBE.raxml.support - Lactifluus subclade ITS phylogeny (482 tips), annotated with transfer bootstrap expectation support values.

supertree_calibrated.nwk - Combined Russulaceae supertree, time-calibrated (root age = 1).

tree_calibrated_clade1_Russula.nwk - Russula subclade ITS backbone phylogeny, time-calibrated (root age = 1).

tree_calibrated_clade2_LactariusMultifurca.nwk - Lactarius-Multifurca subclade ITS backbone phylogeny, time-calibrated (root age = 1).

tree_calibrated_clade3_Lactifluus.nwk - Lactifluus subclade ITS backbone phylogeny, time-calibrated (root age = 1).

 

## Biogeographic analysis

3_disp_counts.R - R script to count dispersal events between biogeographic areas, based on stochastic mapping output.

9_disp_count_time.R - R script to count dispersal events to and from each area through time, based on stochastic mapping output.

area_codes.tab - Area letter coding and colours used for biogeographic analysis and plotting.

area_shapes.zip - Shapefiles for the nine biogeographic areas defined, based on merged areas from Dinerstein et al. 2017 (https://doi.org/10.1093/biosci/bix014) and Löwenberg-Neto (2014: https://doi.org/10.11646/zootaxa.3802.2.12; 2015: https://doi.org/10.11646/10.11646/zootaxa.3985.4.9).

areas_manually_zenodo.csv - Manual assignment of 800 ITS sequences to biogeographic areas based on associated literature records or metadata.

corHMM_ER.Rdata - R data archive with input data and results for the corHMM/Mv biogeographic area reconstruction.
 
corHMM_ER_stoch_maps.Rdata - R data archive with results from the corHMM/Mv biogeographic stochastic mapping.

disp_counts_focal.tab - Dispersal counts to and from each focal area through time, based on BioGeoBEARS stochastic mapping output.

disp_counts_sam_afr.tab - Dispersal counts between Afrotopics and lowland tropical S. America through time, based on BioGeoBEARS stochastic mapping output.

disp_matrix_025.txt - Dispersal rates between biogeographic areas (2.5% quantiles), based on stochastic mapping output.

disp_matrix_975.txt - Dispersal rates between biogeographic areas (97.5% quantiles), based on stochastic mapping output.

disp_matrix_median.txt - Dispersal rates between biogeographic areas (median values), based on stochastic mapping output.

 

## Diversification analysis

5_rates_per_area.R - R script to partition diversification rates by biogeographic area, both overall and through time, based on BAMM diversification rates and area stochastic mapping.

event_data.txt - Posterior samples of diversification rate regimes estimated with BAMM.

div_rates_area_overall.txt - Overall diversification rates per biogeographic area, based on BAMM diversification rates and area stochastic mapping.

div_rates_per_area_025.tsv - Diversification rates through time (2.5% quantiles) partitioned by biogeographic area, based on BAMM diversification rates and area stochastic mapping.

div_rates_per_area_975.tsv - Diversification rates through time (97.5% quantiles) partitioned by biogeographic area, based on BAMM diversification rates and area stochastic mapping.

div_rates_per_area_median.tsv - Diversification rates through time (means) partitioned by biogeographic area, based on BAMM diversification rates and area stochastic mapping.

mcmc_out.txt - BAMM posterior sample characteristics.

Files

area_shapes.zip

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