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Reappraisal of the systematics of Microglanis cottoides (Siluriformes, Pseudopimelodidae), a catfish from southern Brazil

  • Lenice Souza-Shibatta ,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    lenicesouza@hotmil.com

    Affiliation Laboratório de Genética e Ecologia Animal, Departamento de Biologia Geral, Universidade Estadual de Londrina, Londrina, PR, Brazil

  • João F. R. Tonini,

    Roles Methodology, Writing – original draft

    Affiliation Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, United States of America

  • Vitor P. Abrahão,

    Roles Formal analysis, Investigation

    Affiliation Universidade de São Paulo, Museu de Zoologia da USP, São Paulo, SP, Brasil

  • Lucas R. Jarduli,

    Roles Investigation, Methodology

    Affiliation Faculdades Integradas de Ourinhos, Ourinhos, SP, Brasil

  • Claudio Oliveira,

    Roles Investigation, Writing – original draft

    Affiliation Laboratório de Biologia e Genética de Peixes, Departamento de Morfologia, Instituto de Biociências, Universidade Estadual Paulista -UNESP, Botucatu, SP, Brazil

  • Luiz R. Malabarba,

    Roles Investigation, Writing – original draft

    Affiliation Departamento de Zoologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil

  • Silvia H. Sofia,

    Roles Funding acquisition, Investigation, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Laboratório de Genética e Ecologia Animal, Departamento de Biologia Geral, Universidade Estadual de Londrina, Londrina, PR, Brazil

  • Oscar A. Shibatta

    Roles Conceptualization, Funding acquisition, Investigation, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Departamento de Biologia Animal e Vegetal, Universidade Estadual de Londrina, Londrina, PR, Brazil

Abstract

The southern region of Brazil is characterized by high species diversity and endemism of freshwater fishes distributed across geographically isolated river basins. Microglanis cottoides has a widespread range across these river basins and occurs in sympatry with other endemic species of the genus (e.g. M. cibelae, M. eurystoma, and M. malabarbai). Herein we tested the monophyly of M. cottoides and presented for the first time information about the molecular phylogeny of species in the genus. The results suggest that M. cottoides currently forms a non-monophyletic group which includes populations endemic to the Uruguay River basin that are more closely related to M. malabarbai, and excludes M. cibelae, found to be nested within M. cottoides. Based on an integrative approach using morphological and molecular data, we propose M. cibelae as a junior synonym of M. cottoides, and the populations of the Uruguay River basin previously assigned to M. cottoides in fact belong to M. malabarbai. Our molecular phylogeny shows that M. cottoides is sister to M. parahybae, which is also a coastal species, and M. malabarbai is sister of M. garavelloi, both endemic to inland river basins. The time-calibrated phylogeny indicates that the separation between inland and the coastal clades occurred in the Tertiary period, and that the species within the coastal basins diverged in the Pliocene, which overlaps with the diversification times estimated for the two inland species as well. This pattern of diversification corroborates some previous studies with other fishes from the same region.

Introduction

In southern South America, between 6 and 10 Kya, sea level oscillations in the Atlantic formed a series of coastal watersheds geographically isolated from each other, which drain directly into the ocean [1], [2]. In addition, this region comprises the Uruguay River basin, an inland drainage isolated from the coastal ones by the steep mountains on the eastern shore of the Brazilian crystalline shield [1]. As results of geomorphological and sea level variations, studies have identified smaller ecoregions [3] with high levels of endemism across coastal [4], [5], [6], [7] and inland drainages [8], [9], [10], [11] in southern South America.

Microglanis Eigenmann, 1912 (Pseudopimelodidae) are a group of fishes with small body size (standard length of less than 11 cm [12]) comprising 28 species distributed across South America [13], [14], [15], [16]. The geographic distribution of these fishes is affected by physio-ecological constraints since Microglanis do not tolerate salt water, which prevent species from dispersing through the sea, sensu Myers [17]. Four species of Microglanis occur throughout southern South America: M. malabarbai Bertaco and Cardoso 2005 and M. eurystoma Malabarba and Mahler-Jr., 1998 described from the Uruguay river basin, M. cibelae Malabarba and Mahler-Jr., 1998 described from the Tramandaí and Mampituba river basins in the coastal region of Rio Grande do Sul and Santa Catarina states, and M. cottoides (Boulenger 1891) described from the Laguna dos Patos drainage.

The taxonomic history of Microglanis cottoides is controversial among different authors. For instance, Gomes [18] considered M. parahybae (Steindachner 1880) as a junior synonym of M. cottoides due to the great morphological similarity. Mees [19], following the principle of priority, considered M. parahybae a senior synonym of M. cottoides. In contrast, Malabarba & Mahler-Jr [9] reviewed the taxonomy of Microglanis species in southern South America and considered both M. cottoides and M. parahybae as valid species. Thus, it was proposed that M. cottoides would occur in the Laguna dos Patos and Uruguay River drainages [9], [16], [20], [21], and that M. parahybae would be restricted to the Paraíba do Sul River basin. In addition, Malabarba & Mahler-Jr [9] described a new species from the southern South America (M. cibelae) geographically distributed in the Tramandaí (TRA) and Mampituba (MAM) river basins. Although M. cottoides has recently been listed in checklists and fish guides of Southern Atlantic river drainages [22], [23], [24], Microglanis populations in southern South America have not yet been revised on the basis of genetics and morphological data using a statistical framework to test whether current taxonomic decisions would receive support.

Identifications and descriptions of species solely based on morphological characters may present limitations when the characters used are masked by the effect of phenotypic plasticity and/or genetic variability [25]. This scenario would bring instability to species recognition and produce biased reports of species distribution and diversity. For this reason, in recent decades, several molecular tools have been used collectively with morphological data to study biodiversity. For instance, molecular tools have contributed to understanding the ontogenetic pattern of melanin in the lateral region of cyprinid fishes and led the authors to synonymize 12 nominal species [26].

The modern integrative taxonomy was formally introduced in 2005 to increase accuracy and reliability to delimit and describe taxa by integrating information from different kind of data and methodologies, such as molecular markers, ecological and morphological characters [27], [28]. In the last years, the increase of articles using multiple lines of evidence corroborates the success of the modern integrative approach, indicating a clear renewal of the taxonomy [29].

DNA barcoding is among the molecular tools applied in biodiversity studies, identification of cryptic species, and taxonomy [30], [31]. This technique has been quite effective for a wide variety of different taxa (amphibians—[32]; birds—[33]; bats—[34]; reptiles–[35], [36], and freshwater fish from the Neotropical region). This tool has been used with great success, in most cases identifying the species correctly [37], [38], [39], [40], [41], [42], [43], [44], or at different stages of the life cycle [45]. However, there are some criticisms regarding the use of this single fragment of mitochondrial DNA for the identification and description of new species, as well as for phylogenetic analyses [46], [47]. Nonetheless, several studies have shown that the DNA barcoding method is a valuable tool for taxonomy and systematics [25], [30], [48], [49].

Vogler et al. [50] argue against the usefulness of DNA barcoding in the delimitation and identification of species/lineages based only on genetic distances, since it does not take into account the differences in the time of divergence between them. However, improved statistical methods were proposed to delimit species with DNA barcoding data, such as the General Mixed Yule Coalescent Method (GMYC) [51], which is based on an evolutionary model incorporating the topology of a tree, which allows researches to differentiate between the interspecific (''diversification'') and intraspecific (''coalescence'') processes of the branching processes of the lineages [51], [52].

Here, we tested whether 1) Microglanis cottoides may comprise cryptic species across coastal drainages given the high level of endemism of other fish species; 2) endemic species of Microglanis in the coastal drainages from São Paulo to Rio Grande do Sul are synonyms of M. cottoides; and 3) populations from the Uruguay River basin belong to M. cottoides.

Material and methods

Ethical statement

All specimens used were collected in accordance with Brazilian laws, and the sampling was approved by the Sistema de Autorização e Informação em Biodiversidade (SISBIO number 12120–1) of the Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio). After collection, the animals were anesthetized and sacrificed using 1% eugenol as approved by the Universidade Estadual de Londrina/UEL Ethics Committee on the Use of Animals (CEUA; protocol 37917–11) and accepted by the National Council for the Control of Animal Experimentation and Federal Board of Veterinary Medicine. The animals were preserved in 92.5o GL ethanol and catalogued in the collection of the Museu de Zoologia da Universidade Estadual de Londrina (MZUEL), Londrina, Paraná, Brazil.

Molecular analyses

Taxon sampling, extraction and sequencing.

To test the monophyly of Microglanis cottoides (Fig 1) we sampled populations across the entire distribution of the species. We collected tissue samples from 81 specimens of Microglanis cottoides from eight populations circumscribed to two hydrographic regions (Southern Atlantic and Uruguay River) from São Paulo to Rio Grande do Sul (Fig 2): Ribeira de Iguape–RIB, n = 10; Paranaguá –PAR, n = 11; Guaratuba–GUA, n = 08; Itapocu–ITA, n = 08; Madre–MAD, n = 05; Araranguá –ARA, n = 10; Laguna dos Patos–PAT, n = 20; and Uruguay–URU, n = 9.

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Fig 1. Microglanis cottoides, MZUEL 7453, 54.6 mm SL.

Specimen collected in the Arroio Divisa, Camaquã River basin, Cristal, RS, 30o54'5.6"S 52o05'18.9"W (Photo by O.A. Shibatta).

https://doi.org/10.1371/journal.pone.0199963.g001

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Fig 2. Map with collection points of Microglanis in the southeastern and southern states of Brazil.

The acronyms SP, PR, SC and RS, refer to the states of São Paulo, Paraná, Santa Catarina and Rio Grande do Sul, respectively. The red circles correspond to the samples from Camaquã river basin, drainage of the type locality of M. cottoides.

https://doi.org/10.1371/journal.pone.0199963.g002

In addition, we included samples of Microglanis species occurring in sympatry with Microglanis cottoides or distributed in the Southern Atlantic and Uruguay basins: M. cibelae (n = 18), Microglanis sp. (n = 4), and M. malabarbai (n = 6). The species identifications were made based on the external morphology, according to Shibatta & Benine [53], Malabarba & Mahler-Jr. [9], and Bertaco & Cardoso [54]. When only the tissues were available, we followed the identifications of collectors. For M. garavelloi, COI sequences were obtained from GenBank (JN989032, GU701443, GU701629, GU701627, and GU701626), and included only species from the Upper Paraná River basin. New sequences generated in this study were submitted to GenBank (M. cottoides: RIB- KP063067 to KP063071, PAR- KP063072 to KP063075, GUA- KP063073 to KP063079, ITA- KP063080 to KP063083, MAD- KP063084 to KP063088, ARA- KP063089 to KP063093, PAT- KP063101 to KP063105, and URU- KP063059 to 063066; M. cibelae: MAM- KP063094 to KP063095, TRA- KP063096 to KP063100; M. malabarbai: MF045829 to MF045833; M. parahybae: KP0603106 to KP063110). Tissue samples of Microglanis sp. from Uruguay River basin were obtained by donation and the species identification were maintained as appointed by the collector, because they were from other localities than the type-locality of M. malabarbai. These specimens were included in the analysis to verify if they could belong to the M. malabarbai species. Although M. eurystoma is also distributed in the Uruguay River basin, this species was not included in the molecular analyses as it was not possible to obtain samples from the type locality. Microglanis parahybae occurs north of the distribution of M. cottoides in coastal drainages of the Paraíba do Sul basin. Thus, we included five samples of this species to test the phylogenetic relationship between species sharing a similar environment but occurring in allopatry. Our analyses included a total of 119 sequences. All species used, as well as information on them, are summarized in S1 Table.

DNA extraction from tissues followed a phenol/chloroform protocol [55]. Partial sequences of the mitochondrial gene COI were amplified using polymerase chain reaction (PCR) with the primers FishF1-5’TCA ACC AAC CAC AAA GAC ATT GGC AC-3’ and FishR1-5’AGA CTT CTG GGT GGC CAA AGA ATC A-3’ [56]. We used 15 μl as a total volume containing 7.5 μl GoTaq Green Master Mix (Promega), 0.15 μl of each primer at 20 μM, 2.0 μl genomic DNA (5 ng/μl), and 5.2 μl of double-distilled water. The PCR consisted of an initial denaturation (5', at 95° C) followed by 35 cycles of chain denaturation (30s at 94° C), primer hybridization (54° C), and nucleotide extension (30s at 72° C). PCR products were checked by electrophoresis in agarose gel, purified using EXOSAP (Exonuclease I and Shrimp Alkaline Phosphatase GE Healthcare®, Piscataway, USA) and sequenced in both directions using Big Dye Terminator v 3.1 (Applied Biosystems), with subsequent reading on an automatic sequencer ABI Prism 3500 XL (Applied Biosystems).

Alignment, genetic distance, phylogenetic estimation, and species delimitation analyses.

Electropherogram Quality Analysis software [57] was used to produce consensus sequences for each individual, from the sequences of both primers. Subsequently, these sequences were edited and aligned using the ClustalW algorithm in MEGA 6.0 [58]. This same software was used to calculate the genetic distance within and between populations using the Kimura-2-Parameters (K2P) model [59]. Traditionally, a threshold of 2% genetic distance has been used to delimit species using COI [49], [38], [41], [60], [61]. Herein we assume this threshold and also estimated the phylogenetic relationships of samples to test the monophyly of nominal species.

The software BEAST v.2.1.3 [62] was used to estimate a Bayesian phylogenetic tree. Fossil data show that the divergence time between Lophiosilurus alexandri and Cephalosilurus apurensis, both in the Pseudopimelodidae family, is estimated between 15.9 and 11.5 million years (Ma) [63]. We time-calibrated the phylogeny using a node-age approach based on divergence times of these two genera, since Microglanis species have not been included previously in time-calibrated phylogenies. We applied a strict clock model with a uniform prior, which is a generally well-justified prior within a species or among a few closely related species [64]. We used as tree prior the Birth-Death model, which is an extension of the Yule model and assumes that at any point in time each lineage may undergo speciation or extinction [65]. The data were analyzed as a single partition and the evolutionary model used was GTR+Γ+I, as specified by the program MrModeltest 2.3 [66]. In BEAST, we ran the analyses for ten million generations, sampling every 1,000th step. The convergence was assessed in Tracer 1.5 with 25% burn-in [67], and we summarized the MCMC samples using the maximum clade credibility topology using TreeAnnotator v1.5.3 [68]. The distribution of haplotypes and mutational step numbers was generated using the software package Network 4.1.0.8 (www.fluxus-engineering.com), with the median-joining method (MJN) [69].

From the results of the phylogenetic analysis, the species delimitation test was performed using the Generalized Mixed Yule Coalescent (GMYC) model [51], which is more suitable for data with one gene. This analysis was conducted using the "Species Limits by Threshold Statistics" package [70], implemented in R Core Team v3.0.1 [71]. By means of this package it is possible to calculate the number of clusters by classifying the bifurcation rates of a phylogeny as a result of interspecific or intra-specific branching processes [51].

Morphological analyses

A total of 21 linear measurements was obtained using a digital caliper according to Malabarba and Mahler-Jr [9], and Bertaco and Cardoso [54], with addition of the following variables: snout length (measured from the tip of the snout to the base of the anterior eye margin), pelvic fin length, posterior cleithral process length (measured from the origin of the elevated pectoral spine to its osseous tip), dorsal-fin to adipose-fin distance (measured between the posterior base of the dorsal fin and the anterior base of the adipose fin), anus to anterior anal fin base distance, posterior nostrils distance, anterior to posterior nostrils (measured between the posterior base of anterior nostril to anterior base of posterior nostril).

Specimens identified as Microglanis cottoides, M. cibelae and M. malabarbai, and belonging to the type-locality basins were included in the analysis in order to test the morphological similarity and its congruence with molecular analysis. Variables of body were presented as proportions of standard length (SL) and variables of head were presented as proportions of head length (HL). Differences in average body proportions were tested by One-way ANOVA. Principal components analysis (PCA) on covariance matrix of log transformed data was used to test for morphometrics differences between species, and obtain discriminant characters. Counts of lateral line pores were made on the left side of body, whenever possible. The box plot of counts was built with PAST [72], as well as the ANOVA and PCA were performed with this program.

Results

Molecular analyses

Barcode and genetic distance.

A total of 620 base pairs (bp) of the COI gene were analyzed. We did not find insertions, deletions, or stop codons in these sequences, indicating that all amplified regions correspond to a functional portion of the COI gene.

Genetic distance within the populations considered as Microglanis cottoides (RIB, GUA, PAR, ITA, MAD, ARA, PAT, and URU) ranges from 0% to 7%. Genetic distances within coastal drainage populations (RIB, GUA, PAR, ITA, MAD, ARA, PAT) ranges from 0 to 0.4% (Table 1). In contrast, the population of the Uruguay River basin presented the greatest genetic distance relative to the coastal drainages, varying from 5.7% to 7.3%. These distances were even greater than those found between M. cottoides (coastal drainage) and M. parahybae (from 3.7% to 4.2%). The latter species occurs north of the distribution of M. cottoides, in the Paraíba do Sul River basin. Populations of M. cottoides of the Uruguay River basin occur in sympatry with M. malabarbai and the genetic distance between them was 0.7%. Low genetic divergences were also observed between M. cibelae and M. cottoides (0.5% to 1.8%).

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Table 1. Mean genetic distances using the K2P model (Kimura-2-parameters) among populations of Microglanis cottoides and other species of Microglanis obtained with COI data of 119 individuals.

https://doi.org/10.1371/journal.pone.0199963.t001

Haplotype network.

We found 18 haplotypes among samples of Microglanis in Southern Brazil (Fig 3A). Microglanis cottoides from the Uruguay River basin grouped with Microglanis sp., and M. malabarbai, whereas M. cottoides from the coastal drainages grouped with M. cibelae. The network shows the presence of two distinct groups within M. cottoides, separated by 30 mutational steps (i.e. Uruguay River basin and coastal basins). The number of mutational steps separating individuals from these two regions was greater than that found between M. parahybae and M. cottoides (21 mutational steps). However, the number of mutational steps found between M. malabarbai and populations of M. cottoides from the Uruguay River basin (one to two mutational steps) was similar to the number of mutations between M. cottoides populations of the coastal basins (Fig 3A).

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Fig 3. Median-joining networks and Bayesian phylogenetic tree of Micriglanis obtained with COI data.

(A) Median-Joining networks among haplotypes. Each circle represents a unique haplotype with circle sizes being proportional to their frequencies. Each color represents a species. The numbers between haplotypes correspond to mutational steps. Haplotypes: H1 = Ribeira; H2 = Guaratuba + Paranaguá + Itapocu; H3 = Paranaguá; H4 = Paranaguá; H5 = Madre; H6 = Araranguá; H7 = Araranguá; H8 = M. cibelae (Mampituba); H9 = M. cibelae (Tramandaí); H10 = Patos (Camaquã); H11 = Negro + Uruguay; H12 = Uruguay; H13 = Uruguay; H14 = Microglanis sp. Uruguay; H15 = M. parahybae: H16 = M. malabarbai; H17 = M. malabarbai; H18 = M. garavelloi. (B) Bayesian tree. Node bars represent the threshold time for each cladogenetic event. The values above the branches indicate the posterior probability (pp). * Individuals collected in their respective type locality.

https://doi.org/10.1371/journal.pone.0199963.g003

Phylogenetic analyses and GMYC.

The topology of the Bayesian phylogeny (Fig 3B, completed tree shown as S1 Fig) does not support the monophyly of Microglanis cottoides. Although most of the samples are grouped in the same clade with a high posterior probability (pp = 1), M. cibelae is nested within samples of M. cottoides. Furthermore, populations of M. cottoides from the Uruguay River basin are paraphyletic, since they are clustered with M. malabarbai.

In the molecular phylogeny, we recovered Microglanis parahybae as sister to M. cottoides, whereas M. garavelloi is phylogenetically closer to M. malabarbai. The coastal species M. parahybae and M. cottoides diverged about 4.2 Ma and the species in the Uruguay River basin M. garavelloi and M. malabarbai diverged about 4.5 Ma (Fig 3B). These two major clades of coastal and inland species diverged about 7.5 Ma (Fig 3B). Two large clades are observed in M. cottoides, one in the southern drainages from the Araranguá River to Laguna dos Patos drainage and the other in northern drainages including Ribeira de Iguape, Paranaguá, Guaratuba, Itapocu, and Madre river drainages (Fig 3B).

The GMYC analysis suggests the presence of four evolutionary independent lineages within the samples included here. Microglanis cottoides comprise two clusters: Cluster 1, samples of the coastal basins + Microglanis cibelae, and cluster 2, samples of Uruguay river basin + M. malabarbai. Moreover, M. parahybae and M. garavelloi were identified as separated lineages in the analysis (S2 Fig).

Morphological analyses

The samples examined showed similar SL mean (Tab. 3; ANOVA: F = 0.3736, p = 0.6904). Regarding body proportions, the minimum and maximum values of all variables overlapped, preventing the prompt identification of species (Table 2). Only head depth mean differed from all species (ANOVA: F = 52.59, p < 0.001). Regarding M. cottoides and M. cibelae, we identified differences in snout length (ANOVA: F = 7.156, p = 0.002). Microglanis malabarbai show great morphological disparity from the others species, particularly related to: orbital diameter (F = 16.17, p < 0.001), dorsal-fin spine length (F = 11.97, p < 0.001), pectoral-fin spine length (F = 31.4, p < 0.001), predorsal length (F = 11.23, p < 0.001), dorsal-fin base length (F = 4.858, p = 0.01241), anus to anal fin distance (F = 9.392, p < 0.001), anterior nostrils distance (F = 10.65, p < 0.001). The variables that, on average, differentiate only M. malabarbai and M. cibelae were: head length (F = 4.402, p = 0.01809), mouth width (F = 3.055, p = 0.05722), maxillary barbel length (F = 7.517, p = 0.001555), adipose-fin base length (F = 8.885, p < 0.000574), and anal-fin base length (F = 3.473, p = 0.03978). The variables that differ only M. malabarbai and M. cottoides were: body depth (F = 5.368, p = 0.008202), dorsal to adipose fin distance (F = 3.556, p = 0.03701), anterior to posterior nostrils distance (F = 3.957, p = 0.02628), and caudal peduncle length (F = 3.852, p = 0.2875). The variables that did not differentiate between the species were: interobital width (F = 0.9327, p = 0.4011), pelvic fin length (F = 0.367, p = 0.6949), posterior cleithral process length (F = 0.2766, p = 0.7597), prepelvic length (F = 2.666, p = 0.08074), preanal length (F = 1.013, p = 0.3716), caudal peduncle depth (F = 2.116, p = 0.1326), posterior nostrils distance (F = 0.3461, p = 0.7094).

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Table 2. Morfometry of Microglanis cottoides (n = 19), M. cibelae (n = 15) and M. malabarbai (n = 13).

https://doi.org/10.1371/journal.pone.0199963.t002

The Principal components analysis of the combined samples of Microglanis cottoides, M. cibelae and M. malabarbai showed better separation of the groups with components 2 and 3 (Fig 4). The first component, which retained most of the variation (89.4%), was the representative of size. The second and third components retained 3.8% and 1.0%, respectively, and best represented the shape. In PC2, Microglanis malabarbai differs from M. cibelae, for presenting longer maxillary barbel length, anterior internarial distance, prepelvic length, and mouth width (positive variable loadings, Table 3), and for smaller body width, dorsal-fin spine length, preanal length, posterior cleithral process length, and caudal peduncle length (negative variables loadings, Table 3). In this axis, M. cottoides is in intermediary position, not separating from M. cibelae, and evidencing greater similarity with M. cibelae than with M. malabarbai.

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Fig 4. Dispersion of individual scores on the second and third Principal Components axis.

Microglanis cottoides (red, n = 19), M. cibelae (pink, n = 15) and M. malabarbai (blue, n = 13).

https://doi.org/10.1371/journal.pone.0199963.g004

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Table 3. Variables loadings on first three principal components axis of cobined samples of Microglanis cottoides, M. cibelae, and M. malabarbai.

https://doi.org/10.1371/journal.pone.0199963.t003

Lateral line pore counts.

Lateral line pore counts showed overlap in Microglanis cottoides (7–13, median = 11, n = 17) and M. cibelae (7–12, median = 10, n = 15), but differed M. malabarbai (6–7, median = 6, n = 12) (Fig 5).

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Fig 5. Box plot of the lateral line pore counts.

Microglanis cottoides (n = 17), M. cibelae (15), and M. malabarbai (n = 12). Point represents outlier.

https://doi.org/10.1371/journal.pone.0199963.g005

Discussion

Molecular approach

Microglanis cottoides was originally described from the Camaquã River, a tributary of the Laguna dos Patos basin, but its distribution was extended to the Uruguay River basin [9], and the coastal rivers of São Paulo to Rio Grande do Sul States [23]. However, the molecular evidence of our study strongly suggests that M. cottoides, as currently defined, does not form a monophyletic group, since the population occurring in the Uruguay River basin is genetically distinct, and M. cibelae is nested within M. cottoides.

The genetic distance between populations of Microglanis cottoides from the coastal basins and the Uruguay River basin (5.6% to 7.0%) corroborate the hypothesis that the Uruguay River population of M. cottoides has been misidentified. For instance, divergences of this magnitude are often found among congeners of other Neotropical fish [37], [39], [41]. In addition, our results also demonstrate no overlap between the intra and interspecific distances (barcoding gap) of the individuals from the Uruguay River basin and the coastal basins, as well as with the other species of Microglanis added to the analysis (except for M. cibelae) confirming the safe discrimination of species using the barcoding methodology suggested by Hebert et al. [30] and Meyer & Pauly [73]. Thus, although others species of fish occur in both the coastal basins and the Uruguay basins [74], [75], [76], [77], it is not the case of M. cottoides, which has its distribution restricted to coastal drainages.

On the other hand, the low genetic distance between populations preliminarily identified as Microglanis cottoides and Microglanis sp. from the Uruguay River basin and M. malabarbai (0.1% to 0.6%), and between M. cottoides and M. cibelae (0.5% to 1.8%) from the coastal drainages, agree with intra-population variances observed within other species [39], [41], [45] [78], [79].

The haplotype network corroborates the results observed both in phylogenetic analysis and genetic distances. According to Hudson et al. [80], the haplotypes represent the nodes in a group of closely related taxa, linked to each other according to the similarity of the haplotype sequences. Sequence divergence in Microglanis were lower within species than between closely related species, except for M. cibelae. Also, in the network is possible to visualize two very distinct haplogroups within M. cottoides (Uruguay River, corresponding to M. malabarbai, vs. coastal basins), separated by a high number of mutational steps, equivalent to those found among the other species of Microglanis added in the analysis. In fact, it is larger than that found between the haplogroups of M. cottoides from the coastal basin and M. parahybae from the Paraíba do Sul River basin.

The GMYC allows the calculation of the number of clusters resulting from interspecific or intraspecific branching processes [51] and this analysis indicated two clusters for Microglanis cottoides, containing the same clades recovered in the phylogenetic analysis, which reinforces that the species known as M. cibelae is a junior synonym of M. cottoides and that individuals from the Uruguay River basin, identified as M. cottoides, are actually M. malabarbai. In addition, this tool has a tendency to overestimate the number of lineages [51] in other words, to identify intraspecific lineages as distinct lineages, which did not occur with M. cibelae, reinforcing the hypothesis of synonymy.

The phylogenetic analysis showed that the coastal species Microglanis cottoides and M. parahybae are closely related and have diverged about 4.2 Ma; Microglanis garavelloi from the Upper Paraná River basin and M. malabarbai from the Uruguay River diverged also in the Pliocene and have been separated from the coastal species since the late Miocene (± 7.5 Ma). These results agree with Weitzman & Weitzman [81] and Lundberg [82], who suggest that diversification of fish up to the level of modern species predates the Pleistocene, as Albert & Reis [83] state that most Neotropical ichthyofauna diverged between 3.0 and 10 Ma.

The origin of many southern and southeastern Brazilian drainages that now run directly into the Atlantic Ocean was at the time of tectonic activity at the beginning of Tertiary (65–1.8 Ma), generating a complex system of 'failures' in the crystalline shield that culminated in erosions and subsequent events of headwater captures, as occurred between the Tietê River, of the Upper Paraná River basin, and the Paraíba do Sul River [1]. These events were also responsible for the distribution of some species into neighboring drainages, such as Ribeira de Iguape, as well as smaller coastal drainages [84], [85], [86], [87], [88]

The differentiation of species by geographic isolation is the reflection of the geological past and the environmental changes occurring in the region [1], [89], and the degree of genetic divergence is strongly correlated with the age of physical isolation [90]. Thus, the tectonic activity that began in the Tertiary, pobably allowed the species of Microglanis of Southeast-South coast first diverge of the species of the Upper Paraná River system (± 7.5 Ma). Later, in a more recent episode (± 4.2 Ma) that likely involved the Serra do Mar, the diversification of coastal species occurred, separating M. cottoides (from São Paulo to Rio Grande do Sul States), from M. Parahybae (from Rio de Janeiro).

Species of fishes with similar distribution of Microglanis cottoides have already been observed south of Rio de Janeiro. For example, Cyphocharax santacatarinae (Fernández-Yépez 1948) occurs from Santa Catarina to São Paulo, in the Ribeira de Iguape River [91] and Oligosarcus hepsetus (Cuvier 1829) occurs in coastal rivers from Santa Catarina to Rio de Janeiro [92]. The comparison of inter and intraspecific patterns from co-distributed species allows the evaluation of how independent lineages have responded to the same historical processes in a given region [93], [94]. In this way, it is possible to suggest that this region served as an important ichthyofauna divisor of the rivers located to the north and to the south.

At the time of the separation between the coastal species and those of the adjacent plateau, the Uruguay River maintained a connection with what is now called the Upper Parana River and, according to Beurlen (apud [95]), only came to separate in the Miocene (24–5.3 Ma) on occasion of erosion in its basaltic cover. The close phylogenetic relationship between Microglanis garavelloi of the Upper Paraná River and M. malabarbai of the Uruguay River corroborates this fact.

The shared distribution of species among isolated basins may reflect recent vicariant events, such as changes in the drainage course or capture of rivers from one basin by the other, generated by geomorphological modifications [1]. Alternatively, in the case of Microglanis cottoides, dispersion between coastal rivers, due to the sea level fluctuations in the late Pleistocene, mainly by marine regression in the glacial periods, that allowed communication between drainages along the continental shelf [96] [97]. In the Brazilian continental shelf, recent studies have shown that sea level fluctuations during the Quaternary have left evidence, such as paleodrainages, that confirm successive stages of exposure and submersion [2], [98], [99], [100], [101]. Thus, geomorphological features associated with fluvial channels on continental shelves may indicate that coastal drainage, which now flows directly into the oceans, had communication with other nearby drainage basins [101], allowing ichthyofauna flow. This is one of the plausible explanations for the wide distribution of many species, including M. cottoides, in coastal drainages that are now isolated.

Morphological approach

Malabarba & Mahler-Jr. [9] diagnosed Microglanis cibelae for having a smaller head than M. cottoides (25.6–31.1% SL vs. 29.3–33.8%), and lower body width (25.4–29.8% SL vs. 28.5–33.9%). As can be observed there were overlaps in the proportions, which does not allow the species to be safely identified. In our analyses we also did not find intervals of these characteristics that could differentiate the samples as distinct species and, therefore, we used the PCA, because it was considered more suitable to measure the variation of the morphometric variables [102]. Nevertheless, there was a wide overlap between M. cottoides and M. cibelae on the second principal component axis. Malabarba & Mahler-Jr. ([9], p.253) still presented a linear regression graph pointing to ontogenetic divergence in head size, which is relatively higher in M. cottoides than in M. cibelae in specimens larger than 30 mm SL. The same was observed in our study, corroborating those authors [9]. However, these variations in morphological characteristics may represent different populations, not different species. Malabarba & Mahler-Jr. [9] also include samples from the Uruguay River basin identified as M. cottoides. By our analysis, all the samples identified as M. cottoides of this basin correspond to the species M. malabarbai, whose differences are very large in relation to M. cibelae, and which may have influenced the decision of those authors.

Initially, the possibility of a cryptic species in sympatry with Microglanis malabarbai was considered, but was not confirmed, as the genetic divergence is too low to separate them into distinct species. However, a more complex situation seems to be involved, considering the two reviews of Microglanis from southern Brazil [9], [54]. Both studies, analyzing only the morphology, were not able to distinguish some populations of Microglanis from the Uruguay and Laguna dos Patos basins, even with high genetic divergence among them observed herein, raising the hypothesis that the morphological variation in populations of M. cottoides and M. malabarbai make them difficult to identify correctly. In addition, both papers describe differences in head length, body width, pectoral spine length, maxillary barbel length, and internareal distance to diagnose M. cibelae, M. cottoides (including Uruguay River and Laguna dos Patos samples), and M. malabarbai, indicating the presence of morphological variation among their samples. Both M. cottoides and M. malabarbai present strongly structured populations (e.g. M. cibelae corresponds to a clade among remaining lineages of M. cottoides) in such a way that morphometric differences described previously may correspond to morphological differences among lineages or populations within each species.

The greater morphological proximity between M. cottoides and M. cibelae than with M. malabarbai observed with PCA, corroborates with the molecular results. Although our analyses point out differences between the head depth proportions of M. cottoides and M. cibelae, this measure must be carefully analyzed, as it is altered according to the opening of the mouth. On the other hand, snout length proportions differ significantly between the two samples. However, the wide overlap of the morphometry of M. cottoides with M. cibelae on PC2 and PC3 shows that the differences observed in morphological proportions occur at population level. On the other hand, multivariate morphometry corroborates the validity of M. malabarbai. Among the characters pointed out by Malabarba & Mahler-Jr [9] to distinguish M. cottoides from M. cibelae, head length and body width, no significant differences were found in this investigation.

Regarding the lateral line pores, Bertaco & Cardoso [54] also noticed a larger number in Microglanis cottoides than in M. malabarbai. In the description of M. cibelae, Malabarba & Mahler-Jr. [9] point 7 to 10 pores (usually 8) for the species, a number similar to that of M. cottoides in this study. With respect to the M. cibelae specimens examined, a greater variation is observed in this study than that by Malabarba & Mahler-Jr [9], mainly in maximum and modal numbers, but with a similar minimum number. The color pattern is another character pointed by Bertaco & Cardoso [54] differing M. malabarbai with M. cottoides and M. cibelae, but the analysis of samples from different localities of Uruguay River basin has shown variations that generate confusions (Oscar Shibatta, pers. obs.).

Based on our results, we propose that Microglanis cibelae is a junior synonym of M. cottoides and that individuals from the Uruguay River basin, previously identified as M. cottoides, are actually M. malabarbai, refuting the initial hypothesis of this work that there are cryptic species of Microglanis in the studied coastal drainages, and corroborating that only M. cottoides occurs in the coastal drainages from São Paulo to Rio Grande do Sul states and does not occur in the Uruguay River basin. Regarding the phylogenetic hypotheses proposed in this contribution, we are planning to test them with new analyses that include more genes.

Supporting information

S1 Table. Taxon, vouchers and locality information of the analyzed specimens of Microglanis.

*Material examined in the morphological analyses.

https://doi.org/10.1371/journal.pone.0199963.s001

(DOCX)

S1 Fig. Detailed Bayesian phylogenetic tree of Microglanis based on COI data.

https://doi.org/10.1371/journal.pone.0199963.s002

(TIF)

S2 Fig. Bayesian tree obtained through analysis of the COI gene.

Branches highlighted in red are the result of interspecific and intra-specific branching processes of Microglanis lineages, using the GMYC model, based on the results of the phylogenetic analysis. In particular, M. cibelae associated to M. cottoides from coastal drainage and M. cottoides from the Uruguay River basin, associated with M. malabarbai. The values above the branches refer to the posterior probability.

https://doi.org/10.1371/journal.pone.0199963.s003

(TIF)

Acknowledgments

We are grateful to the colleagues from Universidade Estadual de Londrina (UEL) who contributed to the fieldwork (Edson Santana, Fernando C. Jerep, Raul Nascimento, and José L. Birindelli). We thank Raul Nascimento for helping with the map, Juliano Ferrer and Juliana Wingert from Universidade Federal do Rio Grande do Sul for helping with the tissue samples, and the Programa de Pós-Graduação em Ciências Biológicas da UEL, for the logistical support. To Phil Grayson, from Edwards Laboratory, Harvard University, who kindly reviewed the manuscript.

References

  1. 1. Ribeiro AC. 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 2006, 4: 225–246.
  2. 2. Suguio K. Geologia do Quaternário e Mudanças Ambientais. São Paulo: Oficina de Textos; 2010.
  3. 3. Abell R, Thieme ML, Revenga C, Bryer M, Kottelat M, Bogutskaya N, et al. Freshwater ecoregions of the world: a new map of biogeographic units for freshwater biodiversity conservation. BioScience, 2008, 58: 403–414.
  4. 4. Vari RP. The Curimatidae, a lowland Neotropical fish family (Pisces: Characiformes): distribution, endemism, and phylogenetic biogeography. In: Vanzolini PE, Heyer WR, editors. Proceedings of a Workshop on Neotropical Distribution Patterns. Rio de Janeiro: Academia Brasileira de Ciências; 1988. pp. 343–377.
  5. 5. Bizerril CRSF. Análise taxonômica e biogeografia da ictiofauna de água doce do leste brasileiro. Acta Biológica Leopoldensia 1994, 16: 51–80.
  6. 6. Menezes NA. Implications of the distribution patterns of the species of Oligosarcus (Teleostei, Characidae) from Central and Southern South America. In: Vanzolini PE, Heyer WRR, editors. Proceedings of a Workshop on Neotropical Distribution Patterns. Rio de Janeiro: Academia Brasileira de Ciências; 1988. pp. 295–304.
  7. 7. Buckup PA. The eastern Brazilian Shield. In: Albert JS, Reis RE, editors. Historical Biogeography of Neotropical Freshwater Fishes. Berkeley, CA: University of California Press, 2011. p.203–210.
  8. 8. Lucena CAS, Kullander SO. The Crenicichla (Teleostei: Cichlidae) species of the Uruguay River drainage in Brazil. Ichthyological Exploration of Freshwaters 1992, 3: 97–160.
  9. 9. Malabarba LR, Mahler JKF Jr. Review of the genus Microglanis in the rio Uruguay and coastal drainages of southern Brazil (Ostariophysi: Pimelodidae). Ichthyological Exploration of Freshwaters1998, 9: 243–254.
  10. 10. Quevedo R, Reis RE. Pogonopoma obscurum: a new species of loricariid catfish (Siluriformes: Loricariidae) from southern Brazil, with comments on the genus Pogonopoma. Copeia 2002, 2002: 402–410.
  11. 11. Miquelarena AM, López HL. Considerations on the ichthyofauna of the Uruguay River basin: Hemiancistrus fuliginosus Cardoso & Malabarba, 1999 (Loricariidae: Ancistrinae). Journal of Applied Ichthyology 2004, 20: 234–237.
  12. 12. Shibatta OA. Family Pseudopimelodidae (Bumblebee catfishes, dwarf marbled catfishes). In: Reis RE, Kullander SO, Ferraris CJ Jr., editors. Check List of the Freshwater Fishes of South and Central America. Porto Alegre: Edipucrs, 2003. pp. 401–405.
  13. 13. Jarduli LR, Shibatta OA. Description of a new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Amazon basin, Amazonas State, Brazil. Neotropical Ichthyology 2013, 11: 507–512.
  14. 14. Ruiz WBG. Three new species of catfishes of the genus Microglanis from Brazil (Teleostei: Pseudopimelodidae), with comments on the characters used within the genus. Ichthyological Exploration of Freshwaters 2016, 27: 211–232.
  15. 15. Terán GE, Jarduli LR, Alonso F, Mirande JM, Shibatta OA. Microglanis nigrolineatus, a new species from northwestern Argentina (Ostariophysi: Pseudopimelodidae). Ichthyological Exploration of Freshwaters 2016, 27: 193–202.
  16. 16. Eschmeyer WN, Fricke R, van der Laan R. Catalog of Fishes: Genera, Species, References. 2017. Available from: http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp.Electronic version accessed 05.12.2017.F
  17. 17. Myers GS. Fresh-water fishes and West Indian zoogeography. Annual Report of the Board of Regents of the Smithsonian Institution 92 (1938, for the year 1937): 339–364. Available from: http://people.wku.edu/charles.smith/biogeog/MYER1938.htm
  18. 18. Gomes AL. A review of Microglanis, a genus of South American catfishes, with notes on related genera. Occasional Papers of the Museum of Zoology 1946, 494: 1–19.
  19. 19. Mees GF. The Auchenipteridae and Pimelodidae of Suriname (Pisces, Nematognathi). Zoologische Verhandelingen 1974, 132: 1–246.
  20. 20. Shibatta OA. Família Pseudopimelodidae. In Buckup PA, Menezes NA, Ghazzi MS, editors. Catálogo das espécies de peixes de água doce do Brasil. Rio de Janeiro: Museu Nacional, 2007. pp. 103–104
  21. 21. Mori H, Shibatta OA. A new species of Microglanis Eigenmann, 1912 (Siluriformes: Pseudopimelodidae) from Rio São Francisco basin, Brazil. Zootaxa 2006, 1302: 31–42.
  22. 22. Oyakawa OT, Akama A, Mautari KC, Nolasco JC. Peixes de riachos da Mata Atlântica. São Paulo: Neotrópica; 2006.
  23. 23. Menezes NA, Weitzman SH, Oyakawa OT, Lima FCT, Castro RMC, Weitzman MJ. Peixes de água doce da Mata Atlântica: lista preliminar das espécies de água doce neotropicais. São Paulo: Museu de Zoologia, Universidade de São Paulo; 2007.
  24. 24. Oyakawa OT, Menezes NA. Checklist dos peixes de água doce do Estado de São Paulo, Brasil. Biota Neotropica 2011, 11: 19–32.
  25. 25. Hebert PDN, Cywinska A, Ball SL, Dewaard JR. Biological identifications through DNA barcodes. Proceedings of the Real Society B 2003a, 270: 313–321.
  26. 26. Ciccotto PJ, Page L. From 12 to one species: variation in Lobocheilos rhabdoura (Fowler, 1934) (Cyprinidae: Labeonini). Copeia 2016, 104: 879–889.
  27. 27. Dayrat B. Toward integrative taxonomy. Biological Journal of the Linnean Society 2005, 85: 407–415.
  28. 28. Will KP, Mishler BD, Wheeler QD. The perils of DNA Barcoding and the need for integrative taxonomy. Systematic Biology 2005, 54: 844–851. pmid:16243769
  29. 29. Pante E, Schoelinck C, Puillandre N. From Integrative taxonomy to species description: One Step Beyond. Systematic Biology 2015, 64: 152–160. pmid:25358968
  30. 30. Hebert PDN, Ratnasingham S, Dewaard JR. Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species. Proceedings of the Royal Society B 2003b, 270: 96–99.
  31. 31. Melo BF, Ochoa LE, Vari RP, Oliveira C. Cryptic species in the Neotropical fish genus Curimatopsis (Teleostei, Characiformes). Zoologica Scripta 2016, 45: 650–658.
  32. 32. Crawford AJ, Cruz C, Griffith E, Ross H, Ibánez R, Lips KR, et al. DNA barcoding applied to ex situ tropical amphibian conservation programme reveals cryptic diversity in captive populations. Molecular Ecology Resources 2012, 13: 1005–1018. pmid:23280343
  33. 33. Johnsen A, Rindal E, Ericson PGP, Zuccon D, Kerr KCR, Stoeckle MY, et al. DNA barcoding of Scandinavian birds reveals divergent lineages in trans-Atlantic species. Journal of Ornithology 2010, 151: 565–578.
  34. 34. Clare EL, Lim BK, Fenton MB, Hebert PDN. Neotropical bats: estimating species diversity with DNA barcodes. PLoS ONE 2011, 6(7): e22648. https://doi.org/10.1371/journal.pone.0022648 pmid:21818359
  35. 35. Nguyen SN, Yang JX, Le TNT, Nguyen LT, Orlov NL, Hoang CV, et al. DNA barcoding of Vietnamese bent—toed geckos (Squamata: Gekkonidae: Cyrtodactylus) and the description of a new species. Zootaxa 2014, 3784: 048–066.
  36. 36. Ayala-Varela FP, Troya-Rodríguez D, Talero-Rodríguez X, Torres-Carvajal O. A new Andean Anoles species of the Dactyloa clade (Squamata: Iguanidae) from western Ecuador. Amphibian & Reptile Conservation 2014, 8: 8–24.
  37. 37. Carvalho DC, Oliveira DAA, Pompeu PS, Leal CG, Oliveira C, Hanner R. Deep barcode divergence in Brazilian freshwater fishes: the case of the São Francisco River Basin. Mitochondrial DNA 2011, 22: 80–86.
  38. 38. Mabragaña E, Díaz AJM, Hanner R, Zhang J, González CM. DNA Barcoding identifies Argentine fishes from marine and brackish waters. PLoS ONE 2011, 6: e28655. pmid:22174860
  39. 39. Pereira LHG, Pazian MF, Hanner R, Foresti F, Oliveira C. DNA barcodes discriminate freshwater fishes from the Paraíba do Sul River Basin, São Paulo, Brazil. Mitochondrial DNA 2011a, 22: 71–79.
  40. 40. Pereira LHG, Pazian MF, Hanner R, Foresti F, Oliveira C. DNA barcoding reveals hidden diversity in the Neotropical freshwater fish Piabina argentea (Characiformes: Characidae) from the Upper Paraná Basin of Brazil. Mitochondrial DNA 2011b, 22: 87–96. pmid:21707318
  41. 41. Pereira LHG, Hanner R, Foresti F, Oliveira C. Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? BMC Genetics 2013, 14: 20. pmid:23497346
  42. 42. Bellafronte E, Mariguela T, Garcia-Pereira L, Oliveira C, Moreira-Filho O. DNA barcode of Parodontidae species from the La Plata river basin-applying new data to clarify taxonomic problems. Neotropical Ichthyology 2013, 11: 497–506.
  43. 43. Rosso JJ, Mabragaña E, Castro MG, Díaz de Astarloa M. DNA barcoding Neotropical fishes: recent advances from the Pampa Plain, Argentina. Molecular Ecology Resource 2012, 12: 999–1011.
  44. 44. Costa-Silva GJ, Rodriguez MS, Roxo FF, Foresti F, Oliveira C. Using different methods to access the difficult task of delimiting species in a complex Neotropical hyperdiverse group. PLoS ONE 2015, 10, e0135075. pmid:26332320
  45. 45. Frantine-Silva W, Sofia SH, Orsi ML, Almeida FS. DNA barcoding of freshwater ichthyoplankton in the Neotropics as a tool for ecological monitoring. Molecular Ecology Resources 2015, 15: 1226–1237. pmid:25655460
  46. 46. Lipscomb D, Platnick N, Wheeler Q. The intellectual content of taxonomy: a comment on DNA taxonomy. Trends in Ecology and Evolution 2003, 18: 65–66.
  47. 47. Moritz C, Cicero C. DNA barcoding: promise and pitfalls. PLoS Biology 2004, 2: 1529–1531.
  48. 48. Waugh J. DNA barcoding in animal species: progress, potential and pitfalls. BioEssays 2007, 29: 188–197. pmid:17226815
  49. 49. Ward RD, Hanner R, Hebert PDN. The campaign to DNA barcode all fishes, FISH-BOL. Journal of Fish Biology 2009, 74: 329–56. pmid:20735564
  50. 50. Vogler AP, Monaghan MT. Recent advances in DNA taxonomy. Journal of Zoological Systematics and Evolutionary Research 2006, 45: 1–10.
  51. 51. Pons J, Barraclough T, Gomez-Zurita J, Cardoso A, Duran D, Hazell S, Kamoun S, Sumlin W, Vogler AP. (2006). Sequence-based species delimitation for the DNA taxonomy of undescribed insects. Systematics Biology 2006, 55: 595–609.
  52. 52. Monaghan MT, Wild R., Elliot M., Fujisawa T., Balke M., Inward DJ, Lees DC, Ranaivosolo R, Eggleton P, Barraclough TG, Vogler AP. Accelerated species inventory on Madagascar using coalescent-based models of species delineation. Systematic Biology 2009, 58: 298–311. pmid:20525585
  53. 53. Shibatta OA, Benine RC. A new species of Microglanis (Siluriformes: Pseudopimelodidae) from upper rio Paraná basin, Brazil. Neotropical Ichthyology 2005, 3:579–585.
  54. 54. Bertaco VA, Cardoso AR. A new species of Microglanis (Siluriformes: Pseudopimelodidae) from rio Uruguay drainage, Brazil. Neotropical Ichthyology 2005, 3: 61–67.
  55. 55. Sambrook J, Russel DW. Molecular cloning: A laboratory manual. New York: Cold Spring Harbor Laboratory Press; 2001.
  56. 56. Ward RD, Zemlak TS, Innes BH, Last PR, Hebert PDN. DNA barcoding Australia’s fish species. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 2005, 360: 1847–1857.
  57. 57. Togawa RC, Brígido MM. PHPH: Web based tool for simple electropherogram quality analysis. In 1st International Conference on Bioinformatics and Computational Biology-IcoBiCoBi 14th to 16th May 2003. Ribeirão Preto, Brazil.
  58. 58. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution 2013, 30: 2725–2729. pmid:24132122
  59. 59. Kimura M. A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. Journal of Molecular Evolution 1980, 16: 111–120. pmid:7463489
  60. 60. Shimabukuro-Dias CK, Costa Silva GJD, Ashikaga FY, Foresti F, Oliveira C. Molecular identification of the fish fauna from the Pantanal flood plain area in Brazil. Mitochondria DNA A 2017, 28(4): 588–592.
  61. 61. Ribolli J1, Scaranto BM, Shibatta OA, Bombardelli RA, Zaniboni-Filho E. DNA barcoding confirms the occurrence of Rhamdia branneri and Rhamdia voulezi (Siluriformes: Heptapteridae) in the Iguaçu River Basin. Neotropical Ichthyology. 2017, 15: e160147.
  62. 62. Drummond AJ, Bouckaert RR. Bayesian evolutionary analysis with BEAST. Cambridge University Press. 2015.
  63. 63. Lundberg JG, Sabaj-Pérez MH, Dahdul WM, Aguilera OA. The Amazonian Neogene fish fauna In: Hoorn C, Wesselingh FP, editors. Amazonia: Landscape and species evolution: A look into the past. Oxford: Wiley-Blackwell press; 2010. pp. 281–301.
  64. 64. Li WLS, Drummond AJ. Model averaging and Bayes factor calculation of relaxed molecular clocks in Bayesian phylogenetics. Molecular Biology and Evolution 2012, 29: 751–761. pmid:21940644
  65. 65. Nee S, May RM, Harvey PH. The reconstructed evolutionary process. Philosophical Transactions of the Royal Society B, Biological Sciences. 1994, 344: 305–311. pmid:7938201
  66. 66. Nylander JAA. MrModeltest—Evolutionary Biology Centre. Uppsala University; 2004.
  67. 67. Rambaut A, Suchard MA, Xie D, Drummond AJ. Tracer v1.6. 2014. Available from: http://tree.bio.ed.ac.uk/software/tracer/
  68. 68. Drummond AJ, Suchard MA, Xie D, Rambaut A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Molecular Biology and Evolution 2012, 29: 1969–1973.
  69. 69. Bandelt J, Forster P, Röhl A. Median-joining networks for inferring intraspecific phylogenies. Molecular Biology and Evolution 1999, 16: 37–48. pmid:10331250
  70. 70. Fujisawa T, Barraclough TG. Delimiting species using single-locus data and the generalized mixed yule coalescent (GMYC) approach: a revised method and evaluation on simulated datasets. Systematic Biology 2013, 62: 707–724. pmid:23681854
  71. 71. R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org
  72. 72. Hammer O, Harper DAT, Ryan PD. PAST: Paleontological Statistic software package for education and data analysis. Paleontologia Eletronica 2001, 4: 1–9. http://palaeoelectronica.org/2001_1/past/issue1_01.htm
  73. 73. Meyer CP, Paulay G. DNA barcoding: error rates based on comprehensive sampling. PLoS Biology 2005, 3: 2229–2238.
  74. 74. Lucinda PHF. Systematics of the genus Cnesterodon Garman, 1895 (Cyprinodontiformes: Poecilidae: Poeciliinae). Neotropical Ichthyology 2005, 3: 259–270.
  75. 75. Menezes NA, Ribeiro AC, Weitzman SH, Torres RA. Biogeography of Glandulocaudinae (Teleostei: Characiformes: Characidae) revisited: phylogenetic patterns, historical geology and genetic connectivity. Zootaxa 2008, 1726: 33–48.
  76. 76. Reis RE, Weber C., Malabarba LR. Review of the genus Hypostomus Lacépède, 1803 from southern Brazil, with descriptions of three new species (Pisces, Siluriformes, Loricariidae). Revue Suisse de Zoologie 1990, 97: 729–766.
  77. 77. Silva JFP. Two new species of Bryconamericus Eigenmann (Characiformes: Characidae) from southern Brazil. Neotropical Ichthyology 2004, 2: 55–60.
  78. 78. Ratnasingham S, Heber PDN. BOLD—The Barcode of Life Data System (www.bacodingoflife.org). Molecular Ecology Notes 2007, 7: 355–364. pmid:18784790
  79. 79. Lakra WS, Verma MS, Goswami M, Lal KK, Mohindra V, Punia P, et al. DNA barcoding Indian marine fishes. Molecular Ecology Resources 2011, 11: 60–71. pmid:21429101
  80. 80. Hudson HD, Rupp R, Scornavacca C. Phylogenetic networks: Concepts, algorithms and applications. Cambridge University Press, 2010.
  81. 81. Weitzman SH, Weitzman MJ. Biogeography and evolutionary diversification in Neotropical freshwaters, with comments on the refuge theory. In: Prance GT, editor. Biological Diversification in the Tropics. New York: Columbia University Press; 1982. pp. 403–422.
  82. 82. Lundberg JG. (1997). Fishes of the Miocene La Venta fauna: additional taxa, biotic and paleoenvironmental implications. In: Kay RF, Madden RH, Cifelli RI, Flyin JJ, editors. Vertebrate Paleontology in the Neotropics: the Miocene of La Venta, Colombia. Washington: Smithsonian Institution Press; 1997. pp.67–91.
  83. 83. Albert JS, Reis RE. Historical biogeography of Neotropical freshwater fishes. Berkeley, CA. University of California Press. 2011.
  84. 84. Malabarba MC. Phylogeny of fossil Characiformes and paleobiogeography of the Tremembé Formation, São Paulo, Brazil. In: Malabarba LR, Reis RE, Vari R.P, Lucena ZMS, Lucena CAS, editors. Phylogeny and classification of Neotropical fishes. Porto Alegre: Edipucrs; 1998. pp. 69–84.
  85. 85. Langeani F, Castro RC, Oyakawa OT, Shibatta OA, Pavanelli CS, Casatti L. Diversidade da ictiofauna do Alto Rio Paraná: composição atual e perspectivas futuras. Biota Neotropica 2007, 7: 1–17.
  86. 86. Serra JP, Carvalho FR, Langeani F. Ichthyofauna of the rio Itatinga in the Parque das Neblinas, Bertioga, São Paulo: composition and biogeography. Biota Neotropical 2007, 7:
  87. 87. Marceniuk AP, Hilsdorf AWS, Langeani F. A ictiofauna de cabeceiras do rio Tietê, São Paulo, Brasil. Biota Neotropica 2011, 11: 217–236.
  88. 88. Camelier P, Menezes NA, Costa-Silva GJ, Oliveira C. Molecular and morphological data of the freshwater fish Glandulocauda melanopleura (Characiformes: Characidae) provide evidences of river captures and local differentiation in the Brazilian Atlantic Forest. PLoS ONE 2018, 13(3): e0194247. https://doi.org/10.1371/journal.pone.0194247 pmid:29579069
  89. 89. Ribeiro AC, Jacob RM, Silva RRRS, Lima FCT, Ferreira DC, Ferreira KM, et al. Distributions and phylogeographic data of rheophilic freshwater fishes provide evidences on the geographic extension of a central-Brazilian Amazonian palaeoplateau in the area of the present day Pantanal wetland. Neotropical Ichthyology 2013, 11: 319–326.
  90. 90. Craw D, Waters J. Geological and biological evidence for regional drainage reversal during lateral tectonic transport, Marlborough, New Zealand. Journal of the Geological Society 2007, 164: 785–793.
  91. 91. Vari RP. Systematics of the neotropical characiform genus Cyphocharax Fowler (Pisces, Ostariophysi). Smithsonian Contributions of Zoology 1992, 529:137.
  92. 92. Ribeiro AC, Menezes NA. Phylogenetic Relationships of the species and biogeography of the characid genus Oligosarcus Günther, 1864 (Ostariophysi, Characiformes, Characidae). Zootaxa 2015, 3949: 41–81.
  93. 93. Avise JC, Arnold J, Ball RM, Bermingham E, Lambt T, Neigel JE, Reeb CA, Saunders NC. Intraspecific phylogeography: The mitochondrial DNA bridge between population genetics and systematics. Annual Review of Ecology and Systematics 1987, 18: 489–522.
  94. 94. Moritz C, Faith DP. Comparative phylogeography and the identification of genetically divergent areas for conservation. Molecular Ecology 1998, 7: 419–429.
  95. 95. Kullander SO. A revision of the South American cichlid genus Cichlasoma (Teleostei: Cichlidae). Swedish: Museum of Natural History; 1983.
  96. 96. Weitzman SH, Menezes NA, Weitzman MJ. Phylogenetic biogeography of the Glandulocaudini (Teleostei: Characiformes, Characidae) with comments on the distribution of other freshwater fishes in eastern and southeastern Brazil. In: Vanzolini PE, Heyer WR, edotors. Proceedings of a Workshop on Neotropical Distribution Patterns. Rio de Janeiro: Academia Brasileira de Ciências; 1988. pp. 379–427.
  97. 97. Menezes NA, Weitzman SH. Two new species of Mimagoniates (Teleostei: Characidae: Glandulocaudinae), their phylogeny and biogeography and a key to the glandulocaudin fishes of Brazil and Paraguay. Proceedings of the Biological Society of Washington 1990, 103: 380–426.
  98. 98. Abreu JGN, Calliari LJ. Paleocanais na plataforma continental interna do Rio Grande do Sul: evidências de uma drenagem fluvial pretérita. Revista Brasileira de Geofísica 2005, 23: 123–132.
  99. 99. Weschenfelder J, Corrêa ICS, Toldo EE Jr, Baitelli R. Paleocanais como indicativo de eventos regressivos quaternários do nível do mar no Sul do Brasil. Revista Brasileira de Geofísica 2008, 26: 367–375.
  100. 100. Conti LA, Furtado VV. Topographic registers of paleo-valleys on the Southeastern brazilian continental shelf. Brazilian Journal of Oceanography 2009, 57: 113–121.
  101. 101. Thomaz AT, Malabarba LR, Bonatto SL, Knowles LL. Testing the effect of palaeodrainages versus habitat stability on genetic divergence in riverine systems: study of a Neotropical fish of the Brazilian coastal Atlantic Forest. Journal of Biogeography 2015, 42: 2389–2401.
  102. 102. Reis SF. Morfometria e estatística multivariada em biologia evolutiva. Revista Brasileira de Zoologia 1988, 5:571–580.