Ancient genetic divergence in bumblebee catfish of the genus Pseudopimelodus (Pseudopimelodidae: Siluriformes) from northwestern South America

Pseudopimelodus is a Neotropical genus of bumblebee catfish, composed of four valid species occurring in both trans- and cis-Andean rivers of South America. The orogeny of the Andes has led to diversification in the genus Pseudopimelodus in Colombia. This study analyzed partial sequences of mitochondrial cox1 and nuclear rag2 genes to test the hypothesis that the species, nominally recognized as P. schultzi and P. bufonius in Colombia, correspond to more than two different evolutionary lineages. Results indicate high levels of genetic divergence among individuals of nominal P. schultzi and P. bufonius, from trans- and cis-Andean basins in Colombia. In addition, five divergent lineages of Pseudopimelodus were confidently delimited by using a single-locus species-discovery approach and confirmed by species tree analyses. Additionally, molecular-clock dating showed that most diversification processes in Pseudopimelodus took place during the Miocene, when Andean tectonic evolution was occurring in northwestern South America. The present study provides, for the first time, phylogeographic insight into this Neotropical genus.


INTRODUCTION
Pseudopimelodidae is a Neotropical catfish family that includes seven genera and at least 50 valid species, with a distribution ranging from the Atrato River in Colombia to Río de la Plata in Argentina (Fricke, Eschmeyer & Van der Laan, 2019). Colombia harbors species belonging to six of the seven genera formally described for this family: Batrochoglanis (four species), Cephalosilurus (one species) Cruciglanis (one species), Microglanis (three species), Pseudopimelodus (two species), and Rhyacoglanis (one species) (DoNascimiento et al., 2017). The occurrence of two members of Pseudopimelodus has been recorded in different Colombian rivers, but the distribution of both species remains controversial. For example, a checklist of Colombian freshwater fish circumscribed Pseudopimelodus bufonius (Valenciennes, 1840) to the Caribbean slope rivers (Atrato River, Sinú River, and Catatumbo River), Magdalena-Cauca, Orinoco and Amazon river basins, whereas the endemic species Pseudopimelodus schultzi (Dahl, 1955) was endemic to the Caribbean slope rivers and Magdalena-Cauca River basin (Maldonado-Ocampo, Vari & Usma, 2008). Conversely, a recent revision excluded P. bufonius from the Magdalena-Cauca basin, restricting it to the Caribbean slope rivers and the Orinoco and Amazon river basins (DoNascimiento et al., 2017), while P. schultzi was restricted to the Caribbean slope rivers, including the type locality (Cereté, Córdoba department) of this species of the Sinú River and the Magdalena-Cauca basin.
Furthermore, no phylogeographic studies of Pseudopimelodus have been conducted, leaving a gap in our understanding of the possible effects of geomorphological processes on the diversification of this genus. This gap is important, since phylogeographic analyses may reveal cryptic and deeply divergent lineages that are not reflected in the current taxonomy (Arbogast & Kenagy, 2001). Specifically, some geological processes in northwestern South America may have caused vicariant events and subsequent differences in the evolutionary histories of Pseudopimelodus: (1) the uplift of central cordillera during the Late Oligocene-Early Miocene, (2) the isolation of the Atrato-Pacific slope and the Magdalena-Cauca basin with the uplift of the Western Cordillera during the Late Oligocene-Middle Miocene (Duque-Caro, 1990;Colletta et al., 1990;Kellogg & Vega, 1995), (3) the isolation of the Llanos basin from the Northern Andean Block by the uplift of the eastern Cordillera during the Middle-Late Miocene (Hoorn et al., 1995), and (4) the rise of the Vaupes Arch in the Sub-Andean Foreland region, which divided the present upper Amazonas and upper Orinoco river systems (Hoorn et al., 1995;Lundberg, 1998). Thus, we hypothesize that the species nominally recognized as P. schultzi and P. bufonius in Colombia correspond to more than two separate evolutionary lineages, concordant with basin tectonic evolution in northwestern South America.
To test the hypothesis, we analyzed a partial sequence of the mitochondrially encoded cytochrome c oxidase I (cox1; COI), which exhibits high rates of molecular evolution, to explore recent divergence events within Pseudopimelodus; we then used the nuclear recombination activating gene 2 (rag2) to explore more ancient phylogenetic relationships among samples of this genus from northwestern South America. Both genes are commonly used in evolutionary studies, due to their adequate variability and ability to reveal phylogenetic relationships and identify freshwater fish species, including members of the superfamily Pimelodoidea (Hubert et al., 2008;Lundberg, Sullivan & Hardman, 2011;Sullivan, Lundberg & Hardman, 2006). Furthermore, we investigated the putative existence of new species and their historical biogeography by using three species-delimitation approaches and dated species tree analysis. This study offers the first insight into the phylogeographic processes and evolutionary history of pseudopimelodid species from the cis-and trans-Andean region of Colombia.
Muscle tissues of specimens from Magdalena River, Cauca River and Atrato River, preserved in 97% ethanol, were provided by Integral S.A., through the scientific cooperation agreement CT-2013-002443. In addition, muscle tissue from Pseudopimelodus specimens from Sinú River and Orinoco-Amazon hydrographic zones, as well as members of the genera Cruciglanis, Microglanis and Rhyacoglanis, were collected, identified, and provided through the scientific agreements 00466 FUNINDES-INCODER; 0003, 0033, and 00187 FUNINDES-AUNAP; and 037-2014 FUNINDES-HUMEDALES.
Some collection sites were located in sectors with steep slopes in the Magdalena Riverupper sector, upstream of the municipality of Honda, which marks the boundary between the upper and the middle Magdalena. Collection sites in the Cauca River upper and middle sectors were located upstream in the Cauca River canyon, which is the steepest margin of the Antioqueño Plateau in the northern portion of the Central Cordillera (Restrepo-Moreno et al., 2009) and marks the boundary between the middle and lower sectors of Cauca River. This landform has been considered a geographic barrier for many fish species (Dahl, 1971) and is the focus of the largest hydropower project in Colombia (Hidroituango). Additionally, sampling localities in Magdalena River and Cauca River lower sectors and the San Jorge River correspond to lowlands sites downstream in the Cauca River canyon, including flood plain ''ciénagas'' that are part of the Momposina depression, one of the most important wetlands in northwestern South America. Finally, collection sites in the cis-Andean hydrographic sub-zones of Orinoco (Meta River and Negro River) and Amazon (Orteguaza River and Vaupés River) are separated by the Vaupes Arch, the major drainage that divide the Llanos region of eastern Colombia (Winemiller & Willis, 2011).

Cephalosilurus apurensis
Lophiosilurus alexandri B São Francisco r JX899754 -2 Microglanis sp. C Acacias r MH595777 (AOL95) MH553604 (AOL95) 1  Lundberg & Hardman (2006). 5 Hardman & Lundberg (2006). 6 De Carvalho et al. (2011). GPS coordinates for each haplotype are provided in the Supplemental Information. profile for cox1 consisted of an initial cycle at 95 • C for 3 min, 32 cycles of 94 • C for 3 min, 25 s at 60 • C, and 30 s at 72 • C, and the final extension was omitted. A similar thermal profile was used to amplify rag2, but with changes in annealing temperature (58 • C) and extension time (45 s). PCR products were confirmed by agarose gel electrophoresis and EZ vision staining and sequenced in both forward and reverse directions using an ABI sequencer 3730XL. Sequences were checked and edited using Geneious v10.0.9 (https://www.geneious.com) software, and multiple alignment to create consensus sequences was performed with the MAFTT v7.308 (Katoh & Standley, 2013). Both genes were translated into amino acids to confirm absence of stop codons or unexpected frameshift errors using the sequence translation tool Transeq, available in The European Molecular Biology Open Software Suite (EMBOSS https://www.ebi.ac.uk/Tools/st/emboss_transeq/).

Genetic diversity and phylogenetic relationships
Calculation of genetic diversity indices, such as number of haplotypes, haplotype (Hd) and nucleotide (π ) diversity (Nei, 1987), and polymorphic sites, was performed using DNAsp v6 (Rozas et al., 2017). Phylogenetic analysis for each gene and concatenated dataset was conducted using Bayesian Inference, with MrBayes (MB) v3.2 (Ronquist et al., 2012), based on the best-fit model estimated in the software IQ-TREE v1.6.12 (Kalyaanamoorthy et al., 2017). Parameters included two independent Markov Chain Monte Carlo (MCMC) iterations for 20 million generations sampled every 1000 generations, discarding the first 25% sampled generations as burn-in; settings for remaining parameters were left at their default values. Convergence of the MCMC was based on the Potential Scale Reduction Factor (PSRF) approaching 1.0 and the standard deviation of split frequencies approaching 0.0. In addition to sequences obtained in this study, the phylogenetic analysis included previously published rag2 and cox1 sequences of species in all other genera of the family Pseudopimelodidae and the pimelodid species Pseudoplatystoma magdaleniatum and Pimelodus yuma as outgroups (Table 1). In addition, spatial relationships of cox1 haplotypes were explored by constructing a haplotype network based on the Median-Joining algorithm (Bandelt, Forster & Röhl, 1999), using the software PopART v1.7 (Leigh & Bryant, 2015).

Species delimitation
Mitochondrial cox1 gene sequences were used to implement three single-locus speciesdiscovery (SLSD) methods in R v3.4.163, by using the scripts developed by  and available at https://github.com/legalLab/publications. These methods were implemented to define a priori clusters of putative species (lineages) of Pseudopimelodus as trait values for StarBEAST2 v14 (Ogilvie, Bouckaert & Drummond, 2017) species tree analysis. The three methods implemented corresponded to (1) a divergence threshold optimizing and clustering approach (locMin;Brown et al., 2012), (2) the general mixed Yule coalescent model (GMYC; Pons et al., 2006;Fujisawa & Barraclough, 2013), and (3) a Bayesian approximation of the GMYC (bGMYC; Reid & Carstens, 2012). For all analyses, a set of ultrametric trees was generated with BEAST v1.8.4 (Drummond & Rambaut, 2007) choosing HKY+G as the best-fit substitution model, selected by IQ-TREE v1.6.12, setting a relaxed molecular clock model and a Birth-Death Process as a tree prior (Gernhard, 2008). We ran three independent MCMC chains for 20 million sampled every 18,000 generations, discarding the first 10% of trees as burn-in. Results were combined, and then we sub-sampled a total of 1,000 trees for subsequent analyses. Tracer v1.7 (Rambaut, 2014b) was used to verify convergence and ESS values (>300). All three analyses were based on point estimates from the maximum clade credibility tree generated using TreeAnnotator v1.8.4 and calculation of confidence intervals from the posterior sample of 1,000 trees. The R packages bGMYC v1.0.2 (Reid & Carstens, 2012), splits v1.0-19 (Fujisawa & Barraclough, 2013), and ape v4.1 (Paradis, Claude & Strimmer, 2004) were used in these analyses. A conservative posterior probability of con-specificity at 0.05 were used to summarize the bGMYC posterior samples into putative species.

Species tree and divergence time estimation
We combined sequence information from both mitochondrial cox1 and nuclear rag2 markers to implement a dated species tree considering the molecular substitution model of each gene using StarBEAST2 v14 (Ogilvie, Bouckaert & Drummond, 2017) implemented in BEAST2 v2.6.2 (Bouckaert et al., 2014). For both markers we set a strict molecular clock, constant population as population size model and Yule Process for species tree prior. To estimate the time to the most recent common ancestor (TMRCA), and the corresponding credibility intervals (95% HPD) for the main lineages, two fossil calibrations points were included: one corresponds to the oldest pimelodid fossil from the Paleogene of South America (Gayet & Otero, 1999) that provide a minimum age of 55.8 million years ago (mya), for the divergence between the families Pimelodidae and Pseudopimelodidae. This single calibration age constraint was set in the clade including the two pimelodids species used as outgroups, specifying a normal distribution prior, with a standard deviation equal to 1. Furthermore, an additional fossil calibration corresponding to a cf. Cephalosilurus or Pseudopimelodus from South America middle Miocene (lognormal distribution, mean 0.1, SD 0.8, offset 11.5, range 15.9-11.5 mya; Lundberg, 1998;Lundberg et al., 2010) was incorporated on the ancestral node containing all trans-and cis-Andean Pseudopimelodus. Analysis was run for 150,000,000 generations sampling every 15,000 generations and discarding the 10% of the burn-in samples. Convergence was assessed using Tracer v1.7. The summary of all trees and the annotation of mean ages of all nodes, and the corresponding HPD ranges, was conducted with TreeAnnotator v2.6.0. Finally, the selected tree was visualized using the software FigTree v1.4.3 (Rambaut, 2014a).
We used the MODEL_SELECTION Package v1.5.2 implemented in BEAST2 v2.6.2 to test alternative species tree models for Pseudopimelodus based on the results of SLSD approach. Analyses were performed using the PathSampler icon on the Package Application Launcher, with a path sampling of 10 steps, a chain length of 20 million generations and a burn-in of 10% with no pre burn-in phase. Remaining parameters were left as default following Leaché et al. (2014). Marginal likelihood estimates (MLE) were obtained for each different model run and Bayes Factor Delimitation methods were used to rank the different species delimitation models. Bayes Factors (BF) were calculated by subtracting the MLE among these models, and then multiplying the difference by two [BF = 2 × (MLE1 − MLE0)]. A positive BF value indicates support in favor of model 1, while a negative BF value indicates support in favor of model 0 (Leaché & Bouckaert, 2018).

Sequence analysis and phylogenetic relationships
Sequence edition yielded a final alignment matrix of a 357 bp and 520 bp fragment for cox1 and rag2, respectively. No evidence of indels or stop codons was found after translation into amino acids, indicating that the amplified product corresponds to functional cox1 and rag2 sequences. For the cox1 dataset, sequence analyses revealed 33 different haplotypes out of 247 sequences analyzed (GenBank accessions MH553571-MH553603; MH800618-MH800835), defined by 72 polymorphic sites, 52 of which were parsimoniously informative. Values of haplotype and nucleotide diversities for cox1 dataset were h = 0.761±0.020 and π = 0.046 ± 0.001, respectively. Additionally, sequence analysis of rag2 in the trans-Andean Pseudopimelodus revealed 26 haplotypes of 77 sequences analyzed (GenBank accessions MH595749-MH595774; MH800567-MH800617), defined by 22 polymorphic sites, 16 of which were parsimoniously informative. Values of haplotype and nucleotide diversities were Hd = 0.878 ± 0.024 and π = 0.010 ± 0.000. According to the Bayesian Information Criterion, the optimal model for cox1 and rag2 datasets were HKY + G4 and HKY respectively. Collection information, voucher numbers and GenBank accessions for all new sequences obtained in this study are provided in Tables S1 and S2.
Median joining network (Fig. 3) confirmed these lineages and also showed a deeper genetic divergence between lineage 1 and the remaining Pseudopimelodus lineages, as evidenced by the largest number of mutation steps (19 point mutations). Notably, lineage 1 and lineage 5, represented by a higher number of samples, showed unique haplotypes related to a common ancestral haplotype distributed in different sampling sites (Fig. 3). Network analysis showed a lineage composed of haplotypes from the Magdalena River middle sector, Magdalena River and Cauca River lower sectors and the San Jorge River (lineage 1); haplotypes from Amazon River hydrographic zone (lineage 2) and Orinoco River hydrographic zone (lineage 3); haplotypes from Atrato River and Sinú River (lineage 4); and haplotypes from the Magdalena River upper sector and, Cauca River upper and middle sectors (lineage 5).
The coalescent-based analyses using the MODEL_SELECTION Package ranked the GMYC species delimitation model as the more likely hypothesis (MLE = −4038.037016) instead of the alternatives bGMYC (MLE = −4042.52818) or locMin (MLE = −4080.28218) models. Moreover, the five evolutionary lineages of Pseudopimelodus were also supported by the dated species tree using the concatenated rag2 and cox1 genes (Fig. 4). This analysis in conjunction to all three SLSD models and phylogenetic analysis using MrBayes (Supplementary Figs. 1-3) showed that cox1 and rag2 recovered the genus Pseudopimelodus as a monophyletic group. In addition, SLSD results and dated species tree support the idea that the genus Rhyacoglanis is a sister clade of Pseudopimelodus plus Cruciglanis. Divergence time estimates (Fig. 4) indicated that lineage 1 diverged from all remaining members of Pseudopimelodus during Middle Miocene (16.21 mya 95% HDP 11.91-20.79). Similarly, a Middle Miocene split was detected between lineage 2 and the clade comprising lineages 3, 4 and 5 (12.37 mya HPD 8.98-16.23), while a Late Miocene divergence was detected between lineage 3 and the clade formed by lineages 4 and 5 (9.93 mya HPD 6. 54-13.20), and between lineages 4 and 5 (5.28 mya HPD 1. 61-8.20).

DISCUSSION
This study tested the hypothesis that the species nominally recognized as P. schultzi and P. bufonius in Colombia correspond to more than two different evolutionary lineages, the divergence times of which agree with Andean tectonic evolution in northwestern South America. Our expectation was that geological events induced vicariance in Pseudopimelodus from northwestern South America. Despite the limitations of using short fragments, the use of nuclear and mitochondrial molecular markers, with different mutational rates, allowed us to infer ancient, as well as more recent, genetic divergence in this group of bumblebee catfish. In this study, we did not cover the complete geographical range where nominal P. bufonius occurs in Colombia; instead, we analyzed only a small number of individuals from the cis-Andean portion. Thus, the detected haplotypes may not represent all genetic lineages present in this geologically complex region.
Mitochondrial cox1 and nuclear rag2 analyses supported our hypothesis of divergent lineages of Pseudopimelodus inhabiting trans and cis-Andean rivers in Colombia. Indeed, the molecular evidence gathered in this study supports the non-monophyly of P. bufonius and P. schultzi, based on the strong genetic divergence among specimens identified as P. schultzi representing populations from Magdalena, Cauca, Atrato, and Sinú rivers, and among nominal P. bufonius from the Amazon and Orinoco rivers. Specifically, trans-Andean P. schultzi includes three divergent lineages: (1) Magdalena River lower and middle sectors, Cauca River lower sector and San Jorge River, (2) Magdalena River upper sector, Cauca River upper and middle sectors, and (3) Sinú and Atrato rivers. Moreover, P. bufonius populations from the cis-Andean region of Colombia include two divergent lineages: (1) Orinoco River hydrographic zone and (2) Amazon River hydrographic zone.
We found perfect congruence among all SLSD methods in delimiting the abovementioned lineages, and species tree analysis supported these results, indicating that at least four new candidate species, previously synonymized with P. schultzi and P. bufonius, occur in Colombia. This outcome suggests that a robust taxonomic revision of Pseudopimelodus, and especially P. bufonius, is needed; future studies should include samples from the type locality (Cayenne, French Guiana;Boeseman, 1972), since considering our results, it is reasonable to think that the species present in the Colombian cis-and trans-Andean rivers may not correspond to P. bufonius sensu stricto.
Furthermore, inter-generic relationships detected in this study, especially those observed with cox1 results using BEAST and SLSD methods that showed that Pseudopimelodus is sister to Cruciglanis, and this clade is sister to Rhyacoglanis, support recent phylogenetic studies on morphological characters and data of gross morphology from the brain of Pseudopimelodidae (Shibatta & Vari, 2017;Abrahão, Pupo & Shibatta, 2018). However, further research, using more markers and a larger sample size, is required to completely clarify the phylogenetic relationships of the family Pseudopimelodidae and its place in a biogeographic framework of Neotropical diversification .
Given the geographic distribution of each identified lineage, and the general branching of the tree topology, the results agree with the geological history of the Andean mountains in Northwestern South America and support previously proposed models of ichthyofauna division, based on several species-level phylogenies (Albert, Lovejoy & Crampton, 2006). Patterns of divergence, in concordance with the geological evolution of Northwestern South America found in this study, have also been reported in other fishes (Hernández et al., 2015;Machado, Galetti & Carnaval, 2018;Rincón-Sandoval, Betancur & Maldonado-Ocampo, 2019) and other taxa such as mammals (Coimbra et al., 2017) and insects (Salgado-Roa et al., 2018;Bartoleti et al., 2018). In addition, our results support a north to south uplift of the Colombian Andes (Florez, 2003), as diversification of Pseudopimelodus occurred in a sequential manner from older lower altitude diversification events to younger higher altitude diversification events, as was also reported in Neotropical plant species in Colombia (Richardson et al., 2018).
The Middle Miocene divergence of lineage 1, which exhibited the deepest divergence of the detected lineages, strongly agrees with the onset of the Eu-Andina phase of the Northern Andes (18 mya to present), previously reported by Van der Hammen (1960). During this phase, the Antioqueño Plateau (the largest high-elevation erosional surface in the Northern Andes) attained its actual elevation in the central Cordillera, from the raising of the erosion surface from close to sea level to 3,600 m a.s.l. (Restrepo-Moreno et al., 2009). This result is concordant with the fact that lineage 1 is predominantly present down-stream of the Cauca River canyon, which is the steepest margin of the Antioqueño Plateau (Restrepo-Moreno et al., 2009).
Furthermore, the divergence between lineage 2 and the clade containing lineages 3, 4 and 5 was estimated to be at 12.37 mya ). This estimated date is consistent with the first development of the Amazon River during the late-middle Miocene, when the paleo-Amazon River was still partly connected to the paleo-Orinoco, through a fluvio-lacustrine system (Hoorn, 1993;Hoorn et al., 1995). Then, the ''paleo-Amazon-Orinoco'' split into two different Atlantic-draining basins at approximately 8-10 mya, as result of the elevation of the Vaupes Arch in the region comprising the southern area of the Colombian Llanos (Cooper et al., 1995;Hoorn et al., 1995;Lundberg, 1998). Previous studies have also yielded evidence of allopatric sister lineages of freshwater fish, isolated by this Amazonas-Orinoco vicariance event (Sivasundar, Bermingham & Orti, 2001;Winemiller et al., 2008;. The Late Miocene divergence (9.93 mya HPD 6.54-13.20) observed between lineage 3 and the clade containing lineages 4 and 5, agrees with the uplift of Eastern Cordillera (10 mya; Gregory-Wodzicki, 2000) that permanently divided the former foreland basin into the Magdalena and Llanos basins (Hoorn et al., 1995). However, the Eastern Cordillera was not a substantial orographic barrier, as there must have been a low-elevation fluvial corridor between the Magdalena Valley and the eastern Orinoco plains connecting these two geographic provinces (Richardson et al., 2018). This may explain the closer phylogenetic relationships detected between lineage 3 (haplotypes from Orinoco hydrographic zone) and the trans-Andean lineages 4 and 5. This fluvial corridor may correspond to the area of the Garzón Massif (between latitudes 1 • -4 • N), located in the southeastern flank of the Eastern Cordillera in the Colombian Andes (Altenberger et al., 2012), which has suffered a more recent and rapid exhumation process (Anderson et al., 2016). In fact, Anderson et al. (2016) states that an important barrier to dispersal was not fully established in the Eastern Cordillera until the latest Miocene-Pliocene (ca. 6-3 mya) phase of the rapid exhumation of the Garzón basement.
Moreover, the splitting of lineage 4 from lineage 5 occurred during the late Miocene (5.28 mya HPD 1. 61-8.20), concordant with the uplift of the Western Cordillera that caused the isolation of the trans-Andean Atrato-Pacific slope from the Magdalena basin during Late Miocene to Pliocene (Kellogg & Vega, 1995). In addition, the close relationship of samples from the Atrato and Sinú rivers (lineage 4) supports the previous hypothesis that a historical connection resulting from headwater stream capture existed between the adjacent Atrato and Sinú basins that was posteriorly isolated by the uplift of Western Cordillera during the Miocene (Rincón-Sandoval, Betancur & Maldonado-Ocampo, 2019).
Altogether, the results obtained in this study provide a better understanding of the phylogeographic processes that govern the current distribution and diversification of freshwater ichthyofauna in northwestern South America. Moreover, as shown by SLSD and species tree results, the taxonomic diversity within Pseudopimelodus is currently underestimated, which can affect the estimation of species richness, jeopardize the understanding of ecological patterns, and may be harmful to species at a high risk of extinction (Vogel Ely et al., 2017). In light of these results, ongoing studies of morphological analyses, including osteology and external morphology, we are describing two new Pseudopimelodus species from the Magdalena-Cauca River Basin, corresponding to lineages 1 and 5 described herein (Restrepo-Gómez et al., unpublished data, 2020). Finally, and independently of taxonomic implications, genetic divergence of Pseudopimelodus lineages must be considered in current conservation and management policies of Colombian bumblebee catfish fisheries.

CONCLUSIONS
This study provides strong mtDNA evidence that the genus Pseudopimelodus in Colombia comprises at least five different, clearly delimited, evolutionary lineages. The lineages exhibit phylogenetic histories that agree with the geological history of northwestern South America. We recommend that future genetic studies include more genetic markers and a greater number of samples, from additional localities, to examine more thoroughly and provide a deeper understanding of the phylogeographic patterns of this genus in South America. These results contribute to the phylogeographic knowledge of Pseudopimelodidae inhabiting cis and trans-Andean river systems in Colombia and provide an important benchmark for future phylogenetic studies in this diverse and widespread Neotropical catfish family.
River. The authors would also like to acknowledge the valuable comments of Carolina de Barros Machado da Silva and the anonymous reviewers that improved the manuscript.

ADDITIONAL INFORMATION AND DECLARATIONS Funding
This research was supported by the scientific cooperation agreement between Universidad Nacional de Colombia and Integral S.A., on 19th September 2013 and Universidad Nacional de Colombia, Sede Medellín and Empresas Públicas de Medellín, Grant CT-2013-002443 ''Variación genotípica y fenotípica de poblaciones de especies reófilas presentes en el área de influencia del proyecto hidroeléctrico Ituango'', Grant CT-2019-000661 ''Variabilidad genética de un banco de peces de los sectores medio y bajo del río Cauca''. The funders had no role in study design, data collection and analyses, decision to publish, or preparation of the manuscript.