Abstract
The evolutionary history of Neotropical organisms has been often interpreted through broad-scale generalizations. The most accepted model of diversification for the Brazilian Atlantic forest (BAF) rely on putative historical stability of northern areas and massive past habitat replacement of its southern range. Here, we use the leaf frog Phyllomedusa distincta, endemic to the southern BAF, to better understand diversification patterns within this underexplored rainforest region. We used an integrative approach coupling fine-scale sampling and multilocus sequence data, with traditional and statistical phylogeographic (multilocus approximate Bayesian computation) methods to explore alternative hypotheses of diversification. We also employed species paleodistribution modeling to independently verify habitat stability upon a spatially explicit model. Our data support two divergent lineages with coherent geographic distribution that span throughout northern and southern ranges. Demographic estimates suggested the Southern lineage has experienced a recent population expansion, whereas the Northern lineage remained more stable. Hypothesis testing supports a scenario of ancient vicariance with recent population expansion. The paleodistribution model revealed habitat discontinuity during the Last Glacial Maximum (LGM) with one area of putative stability within the range of the Northern lineage. Evidence on genetic structure, demography, and paleodistribution of P. distincta support a historically heterogeneous landscape for the southern BAF, with both areas of forest stability and regions where forest occupation is probably recent. We also associate the southern end of the Cubatão shear zone with a phylogeographic break in the BAF. Taken together, our results argue for the idea of multiple mechanisms generating diversity in this biome and underscore the need of fine-scale data in revealing more detailed pictures.
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References
Akaike, H. A. I. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716–723.
Alvarado-Serrano, D. F., & Knowles, L. L. (2014). Ecological niche models in phylogeographic studies: applications, advances and precautions. Molecular Ecology Resources, 14(2), 233–248. doi:10.1111/1755-0998.12184.
Álvarez-Presas, M., Sánchez-Gracia, A., Carbayo, F., Rozas, J., & Riutort, M. (2014). Insights into the origin and distribution of biodiversity in the Brazilian Atlantic forest hot spot: a statistical phylogeographic study using a low-dispersal organism. Heredity, 112(6), 656–665. doi:10.1038/hdy.2014.3.
Amaral, F. R., Albers, P. K., Edwards, S. V., & Miyaki, C. Y. (2013). Multilocus tests of Pleistocene refugia and ancient divergence in a pair of Atlantic Forest antbirds (Myrmeciza). Molecular Ecology, 22(15), 3996–4013. doi:10.1111/mec.12361.
Anderson, R. P., & Gonzalez, I. (2011). Species-specific tuning increases robustness to sampling bias in models of species distributions: an implementation with Maxent. Ecological Modelling, 222(15), 2796–2811. doi:10.1016/j.ecolmodel.2011.04.011.
Anderson, R. P., & Raza, A. (2010). The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela. Journal of Biogeography, 37(7), 1378–1393. doi:10.1111/j.1365-2699.2010.02290.x.
Behling, H. (2002). South and southeast Brazilian grasslands during Late Quaternary times: a synthesis. Palaeogeography, Palaeoclimatology, Palaeoecology, 177, 19–27.
Brunes, T., Sequeira, F., Haddad, C., & Alexandrino, J. (2010). Gene and species trees of a Neotropical group of treefrogs: genetic diversification in the Brazilian Atlantic Forest and the origin of a polyploid species. Molecular Phylogenetics and Evolution, 57(3), 1120–1133. doi:10.1016/j.ympev.2010.08.026.
Brunes, T. O., Alexandrino, J., Baêta, D., Zina, J., Haddad, C. F. B., & Sequeira, F. (2014). Species limits, phylogeographic and hybridization patterns in Neotropical leaf frogs (Phyllomedusinae). Zoologica Scripta, 43(6), 586–604. doi:10.1111/zsc.12079.
Camargo, A., Morando, M., Avila, L., & Sites, J. (2012). Coalescent-based methods: a test of accuracy with simulations and an empirical example with lizards of the Liolaemus darwinii complex (Squamata: Liolaemidae). Evolution, 66(9), 2834–2849. doi:10.5061/dryad.4409k652.
Camargo, A., Werneck, F. P., Morando, M., Sites, J. W., Jr., & Avila, L. J. (2013). Quaternary range and demographic expansion of Liolaemus darwinii (Squamata: Liolaemidae) in the Monte Desert of Central Argentina using Bayesian phylogeography and ecological niche modelling. Molecular Ecology, 22(15), 4038–4054. doi:10.1111/mec.12369.
Carnaval, A. C., & Moritz, C. (2008). Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic forest. Journal of Biogeography, 35, 1187–1201. doi:10.1111/j.1365-2699.2007.01870.x.
Carnaval, A. C., Hickerson, M. J., Haddad, C. F. B., Rodrigues, M. T., & Moritz, C. (2009). Stability predicts genetic diversity in the Brazilian Atlantic forest hotspot. Science, 323(5915), 785–789. doi:10.1126/science.1166955.
Carnaval, A. C., Waltari, E., Rodrigues, M. T., Rosauer, D., Vanderwal, J., Damasceno, R., et al. (2014). Prediction of phylogeographic endemism in an environmentally complex biome. Proceedings of the Royal Society B, 281, 20141461.
Collevatti, R., Terribile, L., de Oliveira, G., Lima-Ribeiro, M., Nabout, J., Rangel, T., & Diniz-Filho, J. (2013). Drawbacks to palaeodistribution modelling: the case of South American seasonally dry forests. Journal of Biogeography, 40(2), 345–358. doi:10.1111/jbi.12005.
Crawford, A. J. (2003). Relative rates of nucleotide substitution in frogs. Journal of Molecular Evolution, 57(6), 636–641. doi:10.1007/s00239-003-2513-7.
Cruz, F. W., Burns, S. J., Karmann, I., Sharp, W. D., Vuille, M., Cardoso, A. O., et al. (2005). Insolation-driven changes in atmospheric circulation over the past 116,000 years in subtropical Brazil. Nature, 434, 63–66. doi:10.1029/2003JB002684.
Drummond, A. J., Suchard, M. A., Xie, D., & Rambaut, A. (2012). Bayesian phylogenetics with BEAUti and the BEAST 1.7. Molecular Biology and Evolution, 29(8), 1969–1973. doi:10.1093/molbev/mss075.
Earl, D. A., & VonHoldt, B. M. (2012). STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources, 4(2), 359–361. doi:10.1007/s12686-011-9548-7.
Edwards, S. V., & Beerli, P. (2000). Perspective: gene divergence, population divergence, and the variance in coalescence time in phylogeographic studies. Evolution, 54(6), 1839–1854. http://www.ncbi.nlm.nih.gov/pubmed/11209764.
Elith, J., Graham, C. H., Anderson, R. P., Dudı, M., Ferrier, S., Guisan, A., et al. (2006). Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 2, 129–151.
Elith, J., Phillips, S. J., Hastie, T., Dudı, M., Miroslav, D., Chee, Y. E., et al. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43–57. doi:10.1111/j.1472-4642.2010.00725.x.
Evanno, G., Regnaut, S., & Goudet, J. (2005). Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, 14(8), 2611–2620. doi:10.1111/j.1365-294X.2005.02553.x.
Faivovich, J., Haddad, C. F. B., Baêta, D., Jungfer, K.-H., Álvares, G. F. R., Brandão, R. A., et al. (2010). The phylogenetic relationships of the charismatic poster frogs, Phyllomedusinae (Anura, Hylidae). Cladistics, 26, 227–261.
Felsenstein J (2005) PHYLIP (Phylogeny Inference Package) version 3.6. Distributed by the author. Department of Genome Sciences, University of Washington, Seattle
Flot, J.-F. (2010). Seqphase: a web tool for interconverting phase input/output files and fasta sequence alignments. Molecular Ecology Resources, 10(1), 162–166. doi:10.1111/j.1755-0998.2009.02732.x.
Fu, Y.-X. (1997). Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics, 147, 915–925.
Fusinatto, L. A., Alexandrino, J., Haddad, C. F. B., Brunes, T. O., Rocha, C. F. D., & Sequeira, F. (2013). Cryptic genetic diversity is paramount in small-bodied amphibians of the genus Euparkerella (Anura: Craugastoridae) endemic to the Brazilian Atlantic forest. PloS One, 8(11), e79504. doi:10.1371/journal.pone.0079504.
Glez-Peña, D., Gómez-Blanco, D., Reboiro-Jato, M., Fdez-Riverola, F., & Posada, D. (2010). ALTER: program-oriented conversion of DNA and protein alignments. Nucleic Acids Research, 38(Web Server issue), W14–W18. doi:10.1093/nar/gkq321.
Grazziotin, F. G., Monzel, M., Echeverrigaray, S., & Bonatto, S. L. (2006). Phylogeography of the Bothrops jararaca complex (Serpentes: Viperidae): past fragmentation and island colonization in the Brazilian Atlantic Forest. Molecular Ecology, 15(13), 3969–3982. doi:10.1111/j.1365-294X.2006.03057.x.
Gruber, S. L., Silva, A. P. Z., Haddad, C. F. B., & Kasahara, S. (2013). Cytogenetic analysis of Phyllomedusa distincta Lutz, 1950 (2n = 2x = 26), P. tetraploidea Pombal and Haddad, 1992 (2n = 4x = 52), and their natural triploid hybrids (2n = 3x = 39) (Anura, Hylidae, Phyllomedusinae). BMC Genet, 14, 75. doi:10.1186/1471-2156-14-75.
Haddad, C. F. B., Pombal, J. P. J., & Batistic, R. F. (1994). Natural hybridization between diploid and tetraploid species of leaf-frogs, genus Phyllomedusa (Amphibia). Journal of Herpetology, 28(4), 425–430.
Haddad, C. F. B., Toledo, L. F., & Prado, C. P. A. (2008). Anfíbios da Mata Atlântica: guia dos anfíbios anuros da Mata Atlântica (1° ed.). São Paulo: Neotrópica.
Haffer, J. (1997). Alternative models of vertebrate speciation in Amazonia: an overview. Biodiversity and Conservation, 6, 451–476.
Hall, T. A. (1999). BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symposium Series, 41, 95–98.
Hasegawa, M., Kishino, H., & Yano, T. (1985). Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. Journal of Molecular Evolution, 22, 160–174.
Heled, J., & Drummond, A. J. (2008). Bayesian inference of population size history from multiple loci. BMC Evolutionary Biology, 8, 289. doi:10.1186/1471-2148-8-289.
Heller, R., Chikhi, L., & Siegismund, H. R. (2013). The confounding effect of population structure on Bayesian skyline plot inferences of demographic history. PloS One, 8(5), e62992. doi:10.1371/journal.pone.0062992.
Hey, J. (2010). Isolation with migration models for more than two populations. Molecular Biology and Evolution, 27(4), 905–920. doi:10.1093/molbev/msp296.
Hey, J., & Nielsen, R. (2007). Integration within the Felsenstein equation for improved Markov chain Monte Carlo methods in population genetics. Proceedings of the National Academy of Sciences of the United States of America, 104(8), 2785–2790. doi:10.1073/pnas.0611164104.
Hickerson, M. J., Stahl, E., & Takebayashi, N. (2007). msBayes: pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computation. BMC Bioinformatics, 8, 268. doi:10.1186/1471-2105-8-268
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15), 1965–1978. doi:10.1002/joc.1276.
Ho, S. Y. W., & Shapiro, B. (2011). Skyline-plot methods for estimating demographic history from nucleotide sequences. Molecular Ecology Resources, 11(3), 423–434. doi:10.1111/j.1755-0998.2011.02988.x.
Hudson, R. R. (2002). Generating samples under a Wright–Fisher neutral model of genetic variation. Bioinformatics, 18(2), 337–338.
Huson, D. H., & Bryant, D. (2006). Application of phylogenetic networks in evolutionary studies. Molecular Biology and Evolution, 23(2), 254–267. doi:10.1093/molbev/msj030.
IBGE. (2012). Mapa da área de aplicação da Lei n° 11.428 de 2006. Instituto Brasileiro de Geografia e Estatística—IBGE. http://www.ibge.gov.br/home/geociencias/recursosnaturais/mapas_doc6.shtm
Jakobsson, M., & Rosenberg, N. A. (2007). CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics, 23(14), 1801–1806. doi:10.1093/bioinformatics/btm233.
Jeffreys, H. (1961). The theory of probability. Oxford: Oxford University Press.
Joly, S., & Bruneau, A. (2006). Incorporating allelic variation for reconstructing the evolutionary history of organisms from multiple genes: an example from Rosa in North America. Systematic Biology, 55(4), 623–636. http://www.ncbi.nlm.nih.gov/pubmed/16969938.
Librado, P., & Rozas, J. (2009). DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 25(11), 1451–1452. doi:10.1093/bioinformatics/btp187.
Liu, C., Berry, P. M., Dawson, T. P., & Pearson, R. G. (2005). Selecting thresholds of occurrence in the prediction of species distributions. Ecography, 3, 385–393.
Lutz, B. (1950). Anfíbios anuros da coleção Adolpho Lutz. V. Locomoção e estruturadas extremidades. V.a Phyllomedusa (P.) burmeisteri distincta A. Lutz. V.b Aplastodiscus perviridis A. Lutz. Memórias do Instituto Oswaldo Cruz, 48, 599–637.
Martins, F. M. (2011). Historical biogeography of the Brazilian Atlantic forest and the Carnaval-Moritz model of Pleistocene refugia: what do phylogeographical studies tell us? Biological Journal of the Linnean Society, 104(3), 499–509. doi:10.1111/j.1095-8312.2011.01745.x.
Milne, I., Wright, F., Rowe, G., Marshall, D. F., Husmeier, D., & McGuire, G. (2004). TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments. Bioinformatics, 20(11), 1806–1807. doi:10.1093/bioinformatics/bth155.
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A., & Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403(6772), 853–858. doi:10.1038/35002501.
Nielsen, R., & Wakeley, J. (2001). Distinguishing migration from isolation: a Markov chain Monte Carlo approach. Genetics, 158(2), 885–896.
Otto-Bliesner, B. L., Marshall, S. J., Overpeck, J. T., Miller, G. H., & Hu, A. (2006). Simulating Arctic climate warmth and icefield retreat in the last interglaciation. Science, 311(5768), 1751–1753. doi:10.1126/science.1120808.
Otto-Bliesner, B. L., Hewitt, C. D., Marchitto, T. M., Brady, E., Abe-Ouchi, A., Crucifix, M., et al. (2007). Last Glacial Maximum ocean thermohaline circulation: PMIP2 model intercomparisons and data constraints. Geophysical Research Letters, 34(12), L12706. doi:10.1029/2007GL029475.
Pellegrino, K. C. M., Rodrigues, M. T., Waite, A. N., Morando, M., Yassuda, Y. Y., & Sites, J. W. J. (2005). Phylogeography and species limits in the Gymnodactylus darwinii complex (Gekkonidae, Squamata): genetic structure coincides with river systems in the Brazilian Atlantic Forest. Biological Journal of the Linnean Society, 85(1982), 13–26. doi:10.1016/j.ympev.2011.07.010.
Pelletier, T. A., & Carstens, B. C. (2014). Model choice for phylogeographic inference using a large set of models. Molecular Ecology, 23(12), 3028–3043. doi:10.1111/mec.12722.
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3–4), 231–259. doi:10.1016/j.ecolmodel.2005.03.026.
Porto, T. J., Carnaval, A. C., & da Rocha, P. L. B. (2013). Evaluating forest refugial models using species distribution models, model filling and inclusion: a case study with 14 Brazilian species. Diversity and Distributions, 19(3), 330–340. doi:10.1111/j.1472-4642.2012.00944.x.
Posada, D. (2008). jModelTest: phylogenetic model averaging. Molecular Biology and Evolution, 25(7), 1253–1256. doi:10.1093/molbev/msn083.
Pritchard, J., Stephens, M., & Donnelly, P. (2000). Inference of population structure using multilocus genotype data. Genetics, 155, 945–959.
Radosavljevic, A., & Anderson, R. P. (2013). Making better Maxent models of species distributions: complexity, overfitting and evaluation. Journal of Biogeography, 41, 629–643. doi:10.1111/jbi.12227.
Ramos-Onsins, S. E., & Rozas, J. (2002). Statistical properties of new neutrality tests against population growth. Molecular Biology and Evolution, 19(12), 2092–2100. http://www.ncbi.nlm.nih.gov/pubmed/12446801.
Ribeiro, A. C. (2006). Tectonic history and the biogeography of the freshwater fishes from the coastal drainages of eastern Brazil: an example of faunal evolution associated with a divergent continental margin. Neotropical Ichthyology, 4(2), 225–246.
Ribeiro, M. C., Metzger, J. P., Martensen, A. C., Ponzoni, F. J., & Hirota, M. M. (2009). The Brazilian Atlantic Forest: how much is left, and how is the remaining forest distributed? Implications for conservation. Biological Conservation, 142(6), 1141–1153. doi:10.1016/j.biocon.2009.02.021.
Rojas, M., Moreno, Æ. P., Kageyama, Æ. M., Crucifix, M., Hewitt, Æ. C., Ohgaito, R., et al. (2009). The Southern Westerlies during the last glacial maximum in PMIP2 simulations. Climate Dynamics, 32, 525–548. doi:10.1007/s00382-008-0421-7.
Rull, V. (2008). Speciation timing and neotropical biodiversity: the Tertiary-Quaternary debate in the light of molecular phylogenetic evidence. Molecular Ecology, 17(11), 2722–2729. doi:10.1111/j.1365-294X.2008.03789.x.
Saadi, B. A., Machette, M. N., Haller, K. M., Dart, R. L., Bradley, L., & Souza, A. M. P. D. De. (2002). Map and database of Quaternary faults and lineaments in Brazil. U.S. Geological Survey, Open-File Report 02-230, version 1.0., 1–59.
Salzburger, W., Ewing, G. B., & von Haeseler, A. (2011). The performance of phylogenetic algorithms in estimating haplotype genealogies with migration. Molecular Ecology, 20(9), 1952–1963. doi:10.1111/j.1365-294X.2011.05066.x.
Silva, S. M., Moraes-Barros, N., Ribas, C. C., Ferrand, N., & Morgante, J. S. (2012). Divide to conquer: a complex pattern of biodiversity depicted by vertebrate components in the Brazilian Atlantic Forest. Biological Journal of the Linnean Society, 107(1), 39–55. doi:10.1111/j.1095-8312.2012.01919.x.
Stephens, M., Smith, N. J., & Donnelly, P. (2001). A new statistical method for haplotype reconstruction from population data. American Journal of Human Genetics, 68, 978–989.
Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
Thomé, M. T. C., Zamudio, K. R., Giovanelli, J. G. R., Haddad, C. F. B., Baldissera, F. A., & Alexandrino, J. (2010). Phylogeography of endemic toads and post-Pliocene persistence of the Brazilian Atlantic Forest. Molecular Phylogenetics and Evolution, 55(3), 1018–1031. doi:10.1016/j.ympev.2010.02.003.
Thomé, M. T. C., Zamudio, K. R., Haddad, C. F. B., & Alexandrino, J. (2012). Delimiting genetic units in Neotropical toads under incomplete lineage sorting and hybridization. BMC Evolutionary Biology, 12, 242. doi:10.1186/1471-2148-12-242.
Thomé, M. T. C., Zamudio, K. R., Haddad, C. F. B., & Alexandrino, J. (2014). Barriers, rather than refugia, underlie the origin of diversity in toads endemic to the Brazilian Atlantic Forest. Molecular Ecology, 23(24), 6152–6164. doi:10.1111/mec.12986
Turchetto-Zolet, A. C., Pinheiro, F., Salgueiro, F., & Palma-Silva, C. (2013). Phylogeographical patterns shed light on evolutionary process in South America. Molecular Ecology, 22(5), 1193–213. doi:10.1111/mec.12164
Valdez, L., & D’Elía, G. (2013). Differentiation in the Atlantic Forest: phylogeography of Akodon montensis (Rodentia, Sigmodontinae) and the Carnaval–Moritz model of Pleistocene refugia. Journal of Mammalogy, 94(4), 911–922. doi:10.1644/12-MAMM-A-227.1.
Wakeley, J., & Hey, J. (1997). Estimating ancestral population parameters. Genetics, 145, 847–855.
Watterson, G. A. (1975). On the number of segregating sites in genetical models without recombination. Theoretical Population Biology, 7, 256–276.
Weber, S. L., Drijfhout, S. S., Abe-Ouchi, A., Crucifix, M., Eby, M., Ganopolski, A., et al. (2007). The modern and glacial overturning circulation in the Atlantic Ocean in PMIP coupled model simulations. Climate of the Past, 3, 51–64. doi:10.5194/cpd-2-923-2006.
Acknowledgments
This work was supported by São Paulo Research Foundation (FAPESP)—grants #2005/52727-5 and #2006/56938-3 to JA, #2008/50928-1 and #2013/50741-7 to CFBH, and fellowship grant #2011/51392-0 to MTCT; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)—grant #300612/2008-7 to CFBH; and Fundação para a Ciência e a Tecnologia (FCT)—project #PTDC/BIA-BEC/105093/2008 (funded by Fundo Europeu de Desenvolvimento Regional through the Programa Operacional Factores de Competitividade program and Portuguese national funds) to FS, and fellowship grants #SFRH/BD/61689/2009 to TOB and #SFRH/BPD/87721/2012 to FS (under the Programa Operacional Potencial Humano-Quadro de Referência Estratégico Nacional funds from the European Social Fund and Portuguese Ministério da Educação e Ciência). We are further grateful to Elaine M. Lucas (Unochapecó/Brazil), Miguel Trefault Rodrigues (USP/Brazil), and Selvino Neckel de Oliveira (UFSC/Brazil) for tissue donations; all members of UNESP/RC Herpetology Lab from 2009 to 2013, in particular, João Paulo de Cortes, for sample collections; José Carlos Brito for assisting in species distribution modeling analysis; and Andrew J. Crawford and an anonymous reviewer for their helpful comments and suggestions.
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The research was conducted in accordance with Brazilian legislation governing standards of ethical procedures for collecting and scientific studies, and under consent and approval of Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio - permission 25906-1 and 2).
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Brunes, T.O., Thomé, M.T.C., Alexandrino, J. et al. Ancient divergence and recent population expansion in a leaf frog endemic to the southern Brazilian Atlantic forest. Org Divers Evol 15, 695–710 (2015). https://doi.org/10.1007/s13127-015-0228-4
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DOI: https://doi.org/10.1007/s13127-015-0228-4