Delimiting Genetic Units in Neotropical Toads Under Incomplete Lineage

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Delimiting Genetic Units in Neotropical Toads Under Incomplete Lineage Thomé et al. BMC Evolutionary Biology 2012, 12:242 http://www.biomedcentral.com/1471-2148/12/242 RESEARCH ARTICLE Open Access Delimiting genetic units in Neotropical toads under incomplete lineage sorting and hybridization Maria Tereza C Thomé1*, Kelly R Zamudio2, Célio FB Haddad1 and João Alexandrino1,3 Abstract Background: Delimiting genetic units is useful to enhance taxonomic discovery and is often the first step toward understanding evolutionary mechanisms generating diversification. The six species within the Rhinella crucifer group of toads were defined under morphological criteria alone. Previous data suggest limited correspondence of these species to mitochondrial lineages, and morphological intergradation at transitions between forms suggests hybridization. Here we extensively sampled populations throughout the geographic distribution of the group and analyzed mitochondrial and nuclear sequence data to delimit genetic units using tree–based and allele frequency–based approaches. Results: These approaches yielded complementary results, with allele frequency-based methods performing unexpectedly well given the limited number of loci examined. Both mitochondrial and nuclear markers supported a genetic structure of five units within the group, with three of the inferred units distributed within its main range, while two other units occur in separate isolates. The inferred units are mostly discordant with currently described forms: unequivocal association exists for only two of the six species in the group. Genetic evidence for hybridization exists for two pairs of units, with clear cyto–nuclear allele mixing observed in one case. Conclusions: Our results confirmed that current taxonomy does not represent evolutionary units in the Rhinella crucifer group. Correspondence between genetically distinguishable units and the currently recognized species is only possible for Rhinella henseli and R. inopina. The recognition of other species relies on the reassessment of the geographic range of R. crucifer, the examination of the type series of R. ornata for hybrids, and on the use of additional markers to verify the genetic distinctiveness of R. abei. We state that R. pombali should not remain a valid species since its description appears to be based on hybrids, and that the name R. pombali should be considered a synonym of both R. crucifer and R. ornata. The fifth inferred but undescribed genetic unit may represent a new species. Our results underscore the potential of the R. crucifer species group to contribute to a better understanding of diversification processes and hybridization patterns in the Neotropics, and provide the basis for future evolutionary and taxonomic studies. Keywords: Rhinella crucifer group, Species complex, Bufonidae, Taxonomy * Correspondence: [email protected] 1Departamento de Zoologia, Instituto de Biociências, UNESP - Univ Estadual Paulista, Campus Rio Claro, Caixa Postal 19913506-900, Rio Claro, SP, Brazil Full list of author information is available at the end of the article © 2012 Thomé et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Thomé et al. BMC Evolutionary Biology 2012, 12:242 Page 2 of 13 http://www.biomedcentral.com/1471-2148/12/242 Background State of Minas Gerais with isolated records in the state Molecular data in taxonomic studies has profoundly of Rio de Janeiro; R. ornata occurs from southern State impacted the field by bringing fresh perspectives on dis- of Espírito Santo to northern state of Paraná; R. abei is cussions about species concepts and delimitation [1,2] distributed from the State of Paraná to the State of harnessing the power of barcoding for biodiversity dis- Santa Catarina; and R. henseli occurs from southern covery [3,4], and leading to a more representative ta- State of Santa Catarina to the State of Rio Grande do xonomy [5-7]. Early efforts of genetic delimitation of Sul, with isolated records in the state of Paraná [30-33]. Evolutionary Significant Units [8] for conservation pur- More recently, Vaz–Silva et al. [34] described the sixth poses [9] met with controversy, primarily because of the species in the group, Rhinella inopina, with an allopatric criteria applied [10]. At the core of these discussions is distribution in forest enclaves within the Cerrado biome the recognition of species as segments of population in the limits of the States of Goiás, Tocantins and Bahia lineages against a view of species as operational units of [34] (Figure 1). A broad scale phylogeographical survey a taxonomic rank [11]. Regardless of the adopted view, revealed that mitochondrial clades do not fully corres- most biodiversity researchers agree that delimitation of pond to the current taxonomy [35]. Rhinella henseli cor- genetic units is i) a useful proxy for enhancing the rate responds to a highly divergent mitochondrial clade at of taxonomic discovery and ii) the first step towards the southern limit of the species’ range; a northern clade understanding evolutionary mechanisms contributing to includes R. crucifer and part of R. pombali, and a central diversification of closely related organisms, two mea- clade includes remaining populations of R. pombali, sures that are specially relevant for conservation plan- along with R. ornata and R. abei. Rhinella pombali is ning of taxa in threatened environments [12,13]. found along an east–west axis where the northern and Using genetic criteria for unit delimitation has pro- central clades meet, ranging from the coast throughout mpted a recent change of paradigm in systematics [14]. the inland plateau. Its morphology is intermediate be- Newly available computational tools based on multilocus tween R. crucifer and R. ornata [30], which taken to- methods are now applied to 'species' delimitation [15], gether with the mitochondrial DNA is suggestive of a inference of the relationships among previously defined hybrid origin. Hybridization between the morphospecies species [16-18], or both [19,20]. However, the delimita- R. abei and R. henseli is also possible as individuals tion of genetic units with tree–based methods is not occur in syntopy, and are thus likely to interbreed. straightforward because it often requires previous as- Nuclear sequence data from this study showed only signment of individuals to hypothetical species. In evidence of incomplete lineage sorting [35]. addition, the absence of horizontal gene flow is an as- The lack of fine-scale sampling in Thomé et al. [35] sumption for most of these methods [21]. Alternatively, prevented both detailed mapping of mtDNA lineages analyses of allele frequencies at multilocus markers and description of geographic patterns of nuclear allele can jointly explore genetic structure and infer levels frequencies, resulting in an incomplete description of of migration without a priori information [22], and the spatial genetic structure in the Rhinella crucifer have been used to delimit closely related species that group. Here we greatly increase both the geographic and potentially hybridize [23-27]. These methods have dis- population sampling and use sequence data from a set advantages over species-tree methods, such as limited of three mitochondrial and three nuclear genes to de- phylogenetic signal, potential sensitivity to very recent limit genetic units in the Rhinella crucifer group. Given genetic isolation [15], and a tradeoff between the costs the widespread distribution of the group, and evidence of population–level sampling and the number of markers of recent divergences and hybridization, we employ a required to detect genetic structure, especially when the combination of tree and allele frequency–based me- efficiency of the markers [28] is not known a priori. thods. We discuss the results in the context of available The Rhinella crucifer species group is a widespread information on the taxonomy and history of the group, group of toads that occurs throughout the Brazilian At- and provide a perspective on the potential for future lantic Forest, a highly endangered biome [29] distributed evolutionary studies. along 30 lat degrees along the eastern coastline of South America. This widespread distribution includes high Results morphological variation, both within and among popu- Mitochondrial DNA genetic lineages lations [30], which has led to a confused taxonomic We obtained 386, 401, and 398 sequences for control history for the group [31]. In a taxonomic review, region, ND1, and ND2 fragments, respectively. After Baldissera et al. [30] recognized five species based on concatenation we found 305 unique haplotypes among morphological and morphometric variation: Rhinella the 404 sampled individuals. The topology of the mito- crucifer occurs from the State of Ceará to northern chondrial tree (Figure 2) recovers the monophyly of State of Espírito Santo; R. pombali is restricted to the the Rhinella crucifer group with high support. Two Thomé et al. BMC Evolutionary Biology 2012, 12:242 Page 3 of 13 http://www.biomedcentral.com/1471-2148/12/242 L1 CE RN PB L4 PE L5 AL SE L2 BA R. inopina L3 R. crucifer L6−11 L12 L14−15 L13 L16−18 R. pombali MG L68−75 L25−30 ES L76−79, L19−24 86 L49 L47 L31−38 L83 L48 L46 RJ SP L39 L80−81 R. ornata L84 CA PR L82 L40−45 AP L50−67 L85 L102 IT MI SC L88−100 R. abei L101,104−105 L103 L106 RS R. henseli L107−109 Figure 1 Species distribution and sampling. Distribution of morphological species in the Rhinella crucifer group, and localities sampled for this study: Rhinella crucifer in yellow, R. inopina in pale blue, R. pombali in dashed orange, R. ornata in solid orange, R. abei in pale orange, and R. henseli in dark blue. Stars indicate type localities. Initials indicate states or departments. Brazil: CE for Ceará, RN for Rio Grande do Norte, PB for Paraíba, PE for Pernambuco, AL for Alagoas, SE for Sergipe, BA for Bahia, MG for Minas Gerais, ES for Espírito Santo, RJ for Rio de Janeiro, SP for São Paulo, SC for Santa Catarina, and RS for Rio Grande do Sul.
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