Skip to main content

Reducing the information gap on Loricarioidei (Siluriformes) mitochondrial genomics



The genetic diversity of Neotropical fish fauna is underrepresented in public databases. This distortion is evident for the order Siluriformes, in which the suborders Siluroidei and Loricarioidei share equivalent proportion of species, although far less is known about the genetics of the latter clade, endemic to the Neotropical Region. Recently, this information gap was evident in a study about the structural diversity of fish mitochondrial genomes, and hampered a precise chronological resolution of Siluriformes. It has also prevented molecular ecology investigations about these catfishes, their interactions with the environment, responses to anthropogenic changes and potential uses.


Using high-throughput sequencing, we provide the nearly complete mitochondrial genomes for 26 Loricariidae and one Callichthyidae species. Structural features were highly conserved. A notable exception was identified in the monophyletic clade comprising species of the Hemiancistrus, Hypostomini and Peckoltia-clades, a ~60 nucleotide-long deletion encompassing the seven nucleotides at the 3′ end of the Conserved Sequence Block (CSB) D of the control region. The expression of mitochondrial genes followed the usual punctuation pattern. Heteroplasmic sites were identified in most species. The retrieved phylogeny strongly corroborates the currently accepted tree, although bringing to debate the relationship between Schizolecis guntheri and Pareiorhaphis garbei, and highlighting the low genetic variability within the Peckoltia-clade, an eco-morphologically diverse and taxonomically problematic group.


Herein we have launched the use of high-throughput mitochondrial genomics in the studies of the Loricarioidei species. The new genomic resources reduce the information gap on the molecular diversity of Neotropical fish fauna, impacting the capacity to investigate a variety of aspects of the molecular ecology and evolution of these fishes. Additionally, the species showing the partial CSB-D are candidate models to study the replication and transcription of vertebrate mitochondrial genome.


Representing around 5% of vertebrate biodiversity [1], catfishes (Siluriformes) are classified in three suborders: Diplomystoidei, with seven valid species distributed in Andean areas of Argentina and Chile; Siluroidei, summing 2250 species distributed worldwide; and Loricarioidei, endemic to the Neotropical Region with 1538 valid species [1,2,3]. As of March 2017, while one nuclear genome and 102 complete mitochondrial genomes from Siluroidei species were deposited in GenBank, only four Loricarioidei species had their mitochondrial genome sequence publicly released (Table 1). This disproportion is even greater for general nucleotide sequences; for which the number of Siluroidei entries is almost 100 times the amount for Loricarioidei (Table 1).

Table 1 Disproportion of genetic information among Siluriformes’ suborders. Different types of entries in NCBI database, as well as the number of available, valid and new species described in the last 10 years for Siluriformes according to the Catalog of Fishes database

This information gap on the genetic diversity of Loricarioidei fishes is evident in studies of Siluriformes [3, 4] and Otophysi [5, 6] evolution. Recently, in a time-calibrated mitogenome phylogeny of catfishes, the poor taxonomic representation of the Loricarioidei suborder was hypothesized as the most probable cause for the paraphyletic arrangement of the Callichthyidae and Loricariidae families [1]. According to those authors, although this arrangement “does not represent a credible topology”, it “may have implications for the chronology of the basal siluriform nodes” [1], and therefore, may impact studies on the historical biogeography of catfish dispersal throughout the globe.

The underrepresentation of Loricarioidei genetic information deposited in public databases has also prevented a variety of studies about these species, from molecular ecology, biogeography and phylogeny to potential uses in aquaculture or as sentinels of environmental pollution. For instance, species delimitation and phylogenetic analysis of highly speciose genera such as Hypostomus, Peckoltia and Corydoras could benefit from a larger volume of primary genetic resources. Access to new gene sequences would stimulate work on the biogeography and speciation processes of Loricarioidei fishes with wide distribution (e.g.: Hoplosternum littorale, Callichthys callichthys). Likewise, the lack of genetic data is a key limitation preventing studies about the molecular ecology of those Neotropical fishes.

Herein, we focused on the Loricariidae, the most species-rich family in the Loricarioidei and the fifth most species-rich family among all vertebrates [2, 7]. The nearly complete mitochondrial genome sequences from 26 species of Loricariidae and one of Callichthyidae were generated, and their structural features were analyzed. Additionally, the sequences of the 13 protein-coding genes and the two ribosomal RNAs were used to test the currently accepted phylogenetic relationships among Loricariidae subfamilies. These resources complement our recent efforts [8,9,10,11,12], augmenting from four to 36 the number of nearly complete mitochondrial genomes available for Loricarioidei fishes.


The mitochondrial genomes of Loricariidae

The mitochondrial genomes from 27 species, representing 21 Loricariidae genera and Corydoras schwartzi (Callichthyidae), were sequenced almost to their full length. Detailed information regarding each mitogenome is available in Table 2 and Additional files 1, 2 and 3.

Table 2 Geographical coordinates of sampled species and their field and voucher catalog numbers. Vouchers were deposited in the Ichthyological collection of the National Museum belonging to the Federal University of Rio de Janeiro (MNRJ). Quasi-complete mitochondrial genomes were deposited in GenBank and their accession numbers are provided, along with the percentage coverage in comparison to NC015747 for Loricariidae or NC004698 for Corydoras

Coverage, annotation and depth

The new sequences covered from 91.2 to 99.2% the complete Pterygoplichthys disjunctivus mitogenome (Table 2), which was chosen as reference as it was one of the four complete mitogenomes of a Loricarioidei species previously available on public databases, not sequenced by our group. The few nucleotide-long gaps verified in the assembled mitochondrial genomes were located at transfer RNA (tRNA) genes. Despite these few gaps, the analysis of the sequenced mitogenomes, along with those available on GenBank, made it possible to infer the mitochondrial gene composition and order for all species, which was found to be identical to the usual pattern for vertebrates (Fig. 1).

Fig. 1
figure 1

Annotation and sequencing depth of the 27 newly sequenced mitochondrial genomes. Annotation features are shown on the top of this figure as a linear representation generated by the MITOS WebServer [34]. In the upper panel, protein-coding genes are colored in red, ribosomal genes in green, and tRNA in blue. Each tRNA is identified with the one-letter code for the corresponding amino acid. The sequencing depth of each position of the mitochondrial genomes is indicated below the general annotation. In the lower panel, color gradient corresponds to the number of reads supporting a given nucleotide, according to the legend at the right of the figure. Illumina sequencing reads were aligned to the correspondent mitochondrial genome, using Bowtie 1.0 and counted on the Integrative Genome Viewer (IGV) [35]. Representation of read counts as a color-gradient was generated using R. For comparative purposes, the recently released mitogenomes of H. incognitum, Ancistrus sp. 1, Ancistrus sp.2 and C. nattereri were included

Sequences of the two ribosomal RNA (12S and 16S rRNA) and the 13 protein-coding genes were obtained to their full length in most species. Most genes are encoded on the heavy strand, whereas NADH dehydrogenase subunit 6 (nad6) and eight tRNA are found on the light strand (Fig. 1). The majority of the 22 tRNA were completely sequenced in all species, except for Hypostomus affinis (Additional file 3). The complete sequence of the mitochondrial termination factor (mTERF) binding site was obtained for 15 species, while partial sequence was obtained for 10 species. The mTERF is located inside the tRNA-Leu2, justifying the highest frequency of partial sequences verified for this tRNA. Nucleotide frequencies among species were similar (Additional file 1). Among the protein-coding genes, cytochrome c oxidase subunit 1 (cox1) had the highest percentage of invariable amino acids (90%) and ATPase subunit 8 (atp8), the lowest (45%).

The origin of L-strand replication (OL) was sequenced, except for Loricariichthys castaneus and for Hypostomus affinis, and was conserved in most species. The mitochondrial control region (CR) was partially sequenced in all species, except Schizolecis guntheri in which CR was not sequenced (Fig. 1, Additional file 4). The sequence length of the CR varied from zero in S. guntheri to 1083 in K. heylandi, with a mean length of 792 nucleotides. The three CR domains (I, II and III) were found. The termination associated sequence (TAS) in the Domain I was enriched with adenine (A) and thymine (T) nucleotides, and indels were found among the species. Three conserved sequence blocks (CSB-F, CSB-E and CSB-D) were identified in Domain II.

CSB-F was the most conserved among Loricarioidei species (Additional file 4). CSB-E was conserved among 16 species, but diverged in species of the Hemiancistrus, Hypostomini and Peckoltia-clades. While the 3′ end of CSB-E is rich in AT in the Peckoltia-clade and in A in the Hemiancistrus and Hypostomini clades, it is rich in G in the other investigated species (Additional file 4). A deletion of ~60 nucleotides, starting with the seven nucleotides at the 3′ end of CSB-D and spanning over other conserved blocks, follows the same phylogenetic trend (Fig. 2). This deletion is supported by >50 reads in each of the species sequenced herein and by the previously deposited sequence of Pterygoplichthys disjunctivus (NC_015747.1). At the same region, a six nucleotide-long insertion was noted in both species of Rineloricaria (Fig. 2). In most species, the T-homopolymer region was also found, which was followed by an AT-rich segment that characterizes the third domain. CSB-1, CSB-2 and CSB-3 were fully sequenced and highly conserved among the analyzed genomes.

Fig. 2
figure 2

Long nucleotide deletion at the mitochondrial control region in species belonging to the Hypostomini, Hemiancistrus and Peckoltia-clades. Insertion/deletion mutations (indels) are shown as hyphen (−). The position of the Conserved Sequence Block D (CSB-D) is indicated at the left bottom. Phylogenetic relationships among sequences are shown on the left. Branches of the clade displaying the deletion are shown in black, while other are in gray. The names of each taxon are shown in Fig. 3

Sequencing depth is a direct reflection of mitochondrial transcript expression levels. Minimum median sequencing depth was 329 found for Parotocinclus maculicauda, while the maximum median depth was 10,105 for Loricaria cataphracta (Fig. 1, Additional file 1). The variation among species is regarded as minimal differences in the amount of sample submitted to high-throughput sequencing rather than biological. On the other hand, the variation among regions within a single mitogenome is biologically significant, follows the classical mitochondrial RNA punctuation pattern and indicates the activity of a post-transcriptional gene expression mechanism. Genes coding for the three mitochondrial subunits of cytochrome c oxidase were sequenced at the greatest depth, while short intergenic and tRNA sequences showed the lowest depth (Fig. 1). Heteroplasmic positions were found in all species, except one (Additional file 5). The number of heteroplasmies varied from zero in Neoplecostomini gen. n. (TP065) to 21 in Loricariichthys castaneus, with median and average frequencies of 8.0 and 8.9, respectively.

Annotation features

Detailed annotation features of the 13 protein-coding genes of each species are summarized in Additional file 2. The protein-coding genes cytochrome c oxidase subunits 2 and 3 (cox2 and cox3), NADH dehydrogenase subunits 2, 3, 4, 4l and 5 (nad2, nad3, nad4, nad4l, and nad5) were found to be highly conserved, both in total length and nucleotide composition, among species of Loricariidae and Callichthyidae. Cox2, cox3, nad2, nad3, nad4 genes were terminated with an incomplete stop codon (T--), while a complete stop codon (TAA) was found in nad4l and nad5 of all species, except for Hemipsilichthys nimius’ nad5 which is terminated by a TAG. In Kronichthys heylandi nad5 a GTG aligned to the ATG start codon that is found in the other species. However, the codon immediately before this GTG is an ATG. The other six protein-coding mitochondrial genes showed taxon-specific features that are addressed below.

The cytochrome b (cob) gene has 1138 bp and uses an incomplete stop codon (T--) in most species. However, a premature stop codon was found in all Loricariinae species, as well as in the four Ancistrinii clade species. This premature stop codon is produced by the change from TGA to either TAA or TAG and aligns with the penultimate codon of the other sequences. Within the context of the phylogenetic tree (see below) the presence of this premature stop codon is most parsimoniously interpreted as independent synapomorphies supporting the monophyly of the Loricariinae and Ancistrini. This finding is supported by other cob sequences from Loricariinae and Ancistrinii species available at GenBank, and can be interpreted as an example of convergent evolution.

The Loricariidae species possess a 1551 bp long cox1 gene, as opposed to Callichthyidae in which this gene consists of 1560 bp. The Loricariidae and Callichthyidae species sequenced herein use GTG as cox1 start codon. All Loricariidae species use TAA as a stop codon for this gene, except for two species, Kronichthys heylandi and Schizolecis guntheri, which use an incomplete stop codon (TA-). This exception cannot be confirmed in the literature as the nine cox1 genes sequences publicly available at GenBank and the Barcode of Life Data (BOLD) Systems for K. heylandi and the 12 for S. guntheri do not include the start or stop codons. Callichthyidae species were found to use AGG stop codon for cox1 termination.

The nad1 gene of the Callichthyidae species and of Hemipsilichthys nimius lack an amino acid at the sixth amino acid position, when aligned to the gene sequence of the remaining species. Another amino acid-long gap, at the 257th amino acid position, was found to be exclusive of Loricariinae representatives. In the case of Loricaria cataphracta, however, this gap consists of two amino acids. Among the Hypostominae, Ancistrus sp. 1 and Ancistrus sp. 2 show an additional amino acid-long gap at the penultimate position. These might be phylogenetically informative characters for further studies of Loricariinae and Callichthyidae.

The nad6 is a small protein-coding gene encoded by 522 bp in the studied Loricariidae, except for the five species of Loricariinae and Schizolecis guntheri. In these six exceptions, there is an amino acid-long gap at the 116th position. This gap is shared with the three Corydoras species, which also present another gap at the position 142nd.

The gene atp8 is coded by 168 bp in all studied species, except for four of the five Loricariinae species. In the two Rineloricaria species and in the two Loricarichthys species, an amino acid-long gap was found at the 40th position. As for the ATPase subunit 6 (atp6) gene, Hemipsilichthys nimius was the only species with GTG, instead of ATG, as the start codon. All Loricariidae species have the incomplete stop codon TA- to terminate the atp6 gene, while species of Callichthyidae have the complete stop codon TAA. Corydoras spp. (Callichthyidae) share an apomorphic insertion between the atp6 and cox3 gene. In the newly sequenced C. schwartzi mitogenome, this insertion has 17 nucleotides.

Inferred phylogeny of Loricariidae subfamilies

Sequences from the two ribosomal RNA (12S and 16SrRNA) and the 13 protein-coding mitochondrial genes were concatenated generating a super-alignment of 14116 nucleotides, for each of the 30 Loricariidae and three Corydoras species, producing a fully resolved maximum likelihood (ML) phylogenetic tree (Fig. 3, Final ML Optimization Likelihood: −144076.08), with branches showing high statistical support. The phylogenetic tree was rooted using sequences from Corydoras schwartzi and two additional Corydoras species obtained from GenBank (Table 2). Hemipsilichthys nimius (Delturinae) appears as the sister taxon of the other Loricariidae sub-families, except for Lithogeninae (not sampled in this study). The remaining loricariids form three large clusters, corresponding to the subfamily Loricariinae and a monophyletic group comprised by two clades: the subfamily Hypostominae and a clade formed by Neoplecostominae surrounded by Hypoptopomatinae.

Fig. 3
figure 3

Maximum likelihood phylogeny of Loricariidae subfamilies. The two ribosomal RNA and 13 protein-coding genes (comprising 14116 nucleotides) were aligned using MUSCLE. Bootstrap support values are shown on each node and are based on 1000 replicates. Callichthyidae species were used to root the tree. Loricariidae subfamilies are highlighted in gray (Delturinae), yellow (Loricariinae), green (Hypoptopomatinae) and blue (Hypostominae). The scale bar represents the nucleotide substitution rate, using the GTR + GAMMA + I model

Notably, the retrieved phylogeny strongly supports the position of Otothyrini, an Hypoptopomatinae tribe, closer to Neoplecostominae species, rather than to Hypoptopomatini species, the other traditional Hypoptopomatinae tribe. Thus, Hypoptopomatinae is considered monophyletic but, instead of two, it is composed by three tribes, Hypoptopomatini, Otothyrini and Neoplescostomini. Schizolecis guntheri is currently classified as a member of Otothyrini, but appeared clustered closer to Pareiorhaphis garbei and other members of Neoplecostomini than to the other Otothyrini.

It has been shown that for some lineages the phylogenetic tree topology retrieved using data from as few as three mitochondrial genes is the same as the topology retrieved using a concatenated alignment from the 13 protein-coding and the two rRNA genes [13]. In order to evaluate this in Neotropical catfishes, phylogenetic trees were generated using the three longest mitochondrial genes, which also harbor the majority of informative sites (cox1, nad4 and nad5) and the three mitochondrial genes with the highest performance (nad2, nad4 and nad5), as identified by Havird & Santos [13]. Those trees did not recover the same topology as encountered in the tree recovered using information on the 15 mitochondrial genes (Additional file 6). The position of Loricaria cataphracta was distinct in the tree based on the three genes with the highest performance, and the position of Dekeyseria amazonica was different in the tree based on the three longest genes (Fig. 3, Additional file 6).

Pairwise nucleotide identity (PNI)

Nucleotide identities between pairs of concatenated mitochondrial genes were calculated for every combination of the 33 taxa, arranged according to their phylogenetic relationships and colored as a heat-map for visualization (Fig. 4). Four islands displaying higher pairwise nucleotide identities than their surroundings were identified. Not surprisingly, each of these islands is equivalent to major monophyletic clades. Pairwise nucleotide identities (PNI) among congeneric species displayed a higher degree of similarity, ranging from 89.2% between the two Rineloricaria to 95.4% between Hypostomus sp. and H. cf. plecostomus. PNI inside each island were most often above 85%, whereas nucleotide identity outside the islands but contained in the Loricariidae realm was most often below 85%, ranging down to 80%. Outside the Loricariidae realm, nucleotide identity between any Loricariidae species and any Corydoras ranged from 78 to 80%.

Fig. 4
figure 4

Pairwise nucleotide identity among sequenced mitochondrial genomes. Species are ordered according to the retrieved phylogeny on both axes. Species names are shown on the left side, and their phylogenetic relationships are depicted at the bottom. The color gradient represents the percentage of nucleotide identity according to the legend at the right of the figure


Mitochondrial genome structure

The structure of the newly sequenced mitochondrial genomes follows the general pattern described for ostariophysian fish [14]. Among the identified differences, a ~60 nucleotide-long deletion at the control region shared by Baryancistrus xanthellus and species of Hypostomini and Peckoltia-clade highlights. In accordance with findings based on 248 ray-finned fish [14], cox1 was the most conserved protein-coding gene in the mitochondrial genomes of Loricarioidei species, while atp8 was the most variable. Corroborating Satoh et al. [14], the mitochondrial termination factor (mTERF) binding site found in the species used in this study was identical to the human sequence, implying functional conservation. The mTERF binding site is located inside the tRNA-Leu2 gene, which was the most frequent tRNA gene with partial sequence, corroborating the functional conservation.

The order of each gene in the mitogenome was inferred as the same as in other ostariophysian fish [14], which is the typical for metazoans [15]. An intriguing difference is the disruption of the classical head-to-tail junction between atp6 and cox3 among Corydoras species. A 17 nucleotide-long insertion was initially noted by Saitoh et al. [16] at the mitogenome of C. rabauti, but this trait was considered phylogenetically uninformative as it was not shared by any other species evaluated in that study [16]. Subsequently, Moreira et al. [9], observed a homologous 21 nucleotide-long insertion in the mitogenome of C. nattereri and hypothesized this apomorphic trait as relevant for the phylogeny of this speciose genus. The 17 nucleotide-long insertion found in C. schwartzi corroborates and extends that hypothesis. Although having the same length as in C. rabauti, these two 17 nucleotide-long insertions differ by six nucleotide substitutions (one transition and five transversions).

The mitochondrial control region is composed by three domains (I, II and III) containing several conserved sequence blocks (CSB), each showing a taxon-specific distribution in vertebrates [17,18,19,20]. Recently, it has been demonstrated that CSB-D and CSB-1 are present in 250 fish species, although their functions are not yet clear [14]. While the newly generated mitochondrial genomes confirmed the presence of CSB-1 within the Loricarioidei, more than one-third of the CSB-D was deleted in species of the Hemiancistrus, Hypostomini and Peckoltia-clades. A complete CSB-D was found in the other species, including the ones belonging to the subfamily Ancistrini, which is closely related to those clades where the partial CSB-D was identified. There are four monophyletic clades closer to the Hemiancistrus, Hypostomini and Peckoltia-clades than to Ancistrini [7], suggesting that this partial CSB-D deletion is a synapomorphy for a subset of Hypostominae species. It will be elucidative to test the occurrence of this deletion in species belonging to these four clades. Likewise, comparative studies using species in which CSB-D is partially deleted and their closest relatives with complete CSB-D might provide insights to the role played by this conserved sequence block in replication and transcription of the genome.

Among the 250 fish species studied by Satoh et al. [14], three Siluriformes species were used; two representatives of Siluroidei and Corydoras rabauti, a Loricarioidei representative. The sequence of Pterygoplichthys disjunctivus (NC_015747.1) corroborates this deletion in the CSB-D, and although it was available since 2011, it was not included in the study of Satoh et al. [14]. Here, the mitochondrial genome of P. disjunctivus is used to confirm our findings, as it was obtained using a combination of long and short PCR from DNA and sequenced using the Sanger method [6]. Additionally, this deletion is supported by the recently released mitochondrial genomes of Hypancistrus zebra (Peckoltia-clade; KX611143.1) [11] and Pterygoplichthys anisitsi (Hypostomini; KT239003, KT239004, KT239005) [12].

Mitochondrial gene expression

The variation found in the expression of mitochondrial genes is in accordance with the punctuation pattern, in which the polycistronic RNA is cleaved at the tRNAs genes [21, 22]. This pattern has been observed for other Loricarioidei species [8,9,10,11], and suggests the fish mitochondria are transcribed as a polycistronic RNA which is latter edited to monocistronic molecules and to two bicistronic RNAs, coding for nad4/nad4L and atp8/atp6.

The high sequencing depth also allowed for the detection of heteroplasmic sites in all species, except in Neoplecostomini gen. n. (TP065), the species with the lowest count of mapped reads. On the other hand, Loricariichthys castaneus was the species with the highest counts of both heteroplasmic sites and mapped reads (Additional file 5). Recently, we reported similar frequencies of heteroplasmic sites found in the mitogenome of other fish species [8, 10, 11]. Mitochondrial heteroplasmies are associated with several health disorders in humans [23,24,25] and with insecticide resistance in insects [26]. However, the consequences of heteroplasmies on fish physiology, if any, are unknown.

Phylogenetic analysis

Our phylogenetic analysis gives strong statistical support for most of the recently published Loricariidae phylogenies, including branches with poor bootstrap values [7, 27, 28]. Specifically, our data corroborate previous studies on the positioning of Neoplecostomini as a tribe embedded within the subfamily Hypoptopomatinae. The mitochondrial genomic data also supports the positioning of Neoplecostomini closer to Otothyrini, with Hypoptopomatini as the sister taxon of Neoplecostomini and Otothyrini, as proposed by Roxo et al. [27].

Schizolecis guntheri was found to be a member of Neoplecostomini rather than Otothyrini, its current classification based on morphological traits and limited molecular evidence [27, 28]. Indeed, a sister-group relationship between S. guntheri and Pareiorhaphis garbei was previously recovered by Cramer et al. [28], using a matrix of 4678 nucleotides from partial sequences of one mitochondrial (cox1) and three nuclear genes (recombination activating genes 1 and 2, and F-Reticulon 4). The S. guntheri and P. garbei specimens used by Cramer et al. [28] were sampled from the same population as in the present study. This finding is corroborated to some extend by the molecular identification of our specimens using the BOLD Systems (Additional file 7). According to the BOLD algorithm, our specimen of P. garbei appears in a small cluster composed by a few other P. garbei and unidentified Neoplecostomus species, in a sister relationship to a larger S. guntheri clade, while our S. guntheri appears embedded among other S. guntheri specimens from other regions in Brazil.

Of note, the pairwise nucleotide identity (PNI) variation encountered among three genera of the Peckoltia-clade (Peckoltia, Ancistomus and Panaqolus) is below the range of variation encountered within each of the two genera in its sister clade (Hypostomini), but above the variation between these genera (Hypostomus and Pterygoplichthys). This is also valid if we include the recently described mitochondrial genome of Hypancistrus zebra [11], another member of the Peckoltia-clade. However, the morphological diversity within the Peckoltia-clade exceeds by far the variation found among Hypostomini. Although the Hypostomini and Peckoltia-clade are both species-rich, most Hypostomini species are grouped into two large genera (Hypostomus and Pterygoplichthys) while the Peckoltia-clade is the most genus-rich Loricariidae tribe [7] and also harbors the worst taxonomic problems within this family [29].

The low divergence found among the mitochondrial genomes from the four genera (H. zebra included) belonging to the Peckoltia-clade is a piece of information that shall assist in the explanation and resolution of these long standing taxonomic problems. In addition, an intriguing question emerges from our results: How is the tremendous eco-morphological diversity characteristic of the Peckoltia-clade achieved with such a low genetic variation?


Herein we have launched the use of high-throughput mitochondrial genomics in the studies of the Loricarioidei species, advancing the knowledge on the genetic diversity of Neotropical fish fauna. Nearly complete mitochondrial genomes were sequenced for 27 species, representing 21 Loricariidae and one Callichthyidae genera. These new resources greatly reduce the underrepresentation of Loricarioidei among the Siluriformes mitochondrial genomes deposited in GenBank and other public databases. However, the proportion of genetic data available for Siluroidei still outpaces that of Loricarioidei, especially with regard to nuclear genes.


Taxonomic sampling and RNA extraction

Twenty-seven species from 21 Loricariidae genera (representing six subfamilies) and one Callichthyidae genus, were sampled in the Amazon basin, and in coastal basins of southeastern Brazil, and acquired at local ornamental fish suppliers in the cities of Rio de Janeiro (Rio de Janeiro State) and Belém (Pará State), in Brazil (Table 2). Samples from the Amazon basin were collected near Manaus (Amazonas State); samples from coastal streams were collected in the states of Rio de Janeiro and Espírito Santo. Specimens were initially identified by experienced taxonomists; identifications were then confirmed by similarity searches using the cox1 Folmer region from each specimen against the BOLD Systems database (Additional file 7). Additionally, the complete and nearly complete mitochondrial genomes from Loricarioidei species available on GenBank were downloaded and used for comparative and phylogenetic purposes. GenBank accession numbers of all mitogenomes are displayed in Table 2. All voucher specimens were deposited at a permanent ichthyological collection (Museu Nacional, Universidade Federal do Rio de Janeiro - MNRJ) (Table 2). Fish sampling and handling were authorized by the appropriate Brazilian Government agency (Instituto Chico Mendes de Conservação da Biodiversidade, ICMBio), under the license number 21006-4.

Immediately after sampling, fish were killed, and liver dissected and preserved in RNA Later solution (Thermo Fisher Scientific) at 4 °C until arrival at the laboratory, where samples were stored at −20 °C. Total RNA was extracted from the liver tissue following the phenol-choloroform method, according to manufacture’s instructions (TRIzol Reagent, Thermo Fisher Scientific). After extraction, total RNA was initially quantified using a BioDrop DUO (BioDrop) spectrophotometer, and quality and quantity were further evaluated using the Bioanalyzer RNA 6000 nano kit (Agilent). Only RNA preparations with RNA Integrity Number (RIN) above 6.0 were used for the cDNA library preparation.

Library preparation and sequencing

Complementary DNA (cDNA) libraries were prepared using the TruSeq RNA Sample Kit v.2 (Illumina), strictly following the manufacturer’s recommendations. The fragmentation time in the thermocycler was adjusted to 45 s to ensure that most fragment lengths were in the range of 300 to 500 base pairs. All libraries were accessed for quality using the Bioanalyzer DNA 1000 kit (Agilent). Library quantification was performed using the Library Quantification Universal Kit for Illumina with Revised Primers-SYBR (Kapa Biosystems) for real time PCR for each library, and once more for each pool of up to nine libraries, individually marked with specific barcodes, destined to clusterization in Illumina HiSeq2500 sequencing lanes. Library pools were clustered using the TrueSeq PE Cluster Kit v3 for cBot (Illumina) into different lanes. Paired-end sequencing of 100 bp were performed on a HiSeq2500 using the TrueSeq SBS Kit v.3 (Illumina). Raw data were demultiplexed using the BCL2FASTQ software (Illumina). Reads were trimmed for adaptors with Trimmomatic [30] and their quality was evaluated using FastQC (Babraham Bioinformatics). Reads with Phred score equal to or higher than 30 were used for de novo assembly of transcriptomes using Trinity’s default parameters [31, 32].

Mitogenome assembly and annotation

The mitochondrial genomes were assembled using the mitochondrial transcripts retrieved from the liver transcriptome of each fish, following the approach described by Moreira et al. [8]. Briefly, searches using the BLASTn algorithm against the mitogenomes from the closest related species available were performed to capture mitochondrial transcripts among the entire transcriptome. The retrieved mitochondrial transcripts were aligned to the complete mitogenome available from the closest related species (Pterygoplichthys disjunctivus NC015747, Hypoptopoma incognitum NC028072 or Ancistrus sp. KP960567). The assembled mitochondrial genomes were manually edited for removal of poorly aligned bases at both ends. In most cases, some gaps remained in intergenic and tRNA regions due to the punctuation pattern of the mitochondrial transcript expression. These gaps were filled with Ns.

The assembled mitochondrial genomes were annotated using the web-based services MitoFish and MITOS [33, 34], and manually curated for inconsistencies. To estimate the sequencing depth of each base, Bowtie v. 1.0.0 was used to align Illumina reads onto the assembled mitogenomes. Aligned reads were viewed using IGV, Tablet, PysamStats (v. 0.84) and BAMStats (v. 1.25) [35,36,37]. Heteroplasmic sites were identified using three conditions: first, different nucleotides were sequenced in the same position; second, that position must have more than 100 supporting reads; and third, the frequency of the second most frequent base must be higher than 10%. Using these criteria, every polymorphic nucleotide is supported by at least 10 reads.

Phylogenetic analysis

The sequences for the two rRNA and for the 13 protein-coding genes were recovered in the mitochondrial genomes from all species. The sequences of the 15 mitochondrial genes were aligned using the built-in MUSCLE algorithm from SeaView [38, 39]. Protein-coding gene sequences were aligned by their amino acid residues, and phylogenetic analyses were performed using the nucleotide information. Alignments of each gene were concatenated to create a single super-alignment consisting of 14,116 nucleotides. Pairwise nucleotide identity was calculated using SeaView and tabulated in R (R Core Team [40]).

jModelTest2 (v. 2.1.6) available at the CIPRES Science Gateway were used to select the best-fit model of nucleotide substitution under the Bayesian information criterion (BIC) [41,42,43]. The ML analysis was performed using RAxML (v. 8.2.4) available at CIPRES under the GTR + GAMMA + I model for all sites [44]. Branch support was evaluated with 1000 bootstrap replicates.


12S rRNA and 16S rRNA:

12S and 16S ribosomal RNA


State of Amazonas

atp6 and atp8:

ATPase subunit 6 and 8


Barcode of Life Data


Complementary DNA


Cytochrome b


Cytochrome c oxidase subunits 1,2 and 3


Mitochondrial control region


State of Espírito Santo


Instituto Chico Mendes de Conservação da Biodiversidade


Maximum likelihood


Museu Nacional, Universidade Federal do Rio de Janeiro


Mitochondrial termination factor

nad1–6 and 4l:

NADH dehydrogenase subunit 1–6 and 4l

OL :

Origin of L-strand replication


State of Pará


Pairwise nucleotide identity


RNA Integrity Number


State of Rio de Janeiro


Termination associated sequence


Transfer RNA


  1. Kappas I, Vittas S, Pantzartzi CN, Drosopoulou E, Scouras ZG. A time-calibrated mitogenome phylogeny of catfish (Teleostei: Siluriformes). PLoS One. 2016;11:e0166988.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Eschmeyer WN, Fong JD. Species by family/subfamily. Cat. FISHES. 2016 [cited 2016 Dec 15]. Available from:

  3. Sullivan JP, Lundberg JG, Hardman M. A phylogenetic analysis of the major groups of catfishes (Teleostei: Siluriformes) using rag1 and rag2 nuclear gene sequences. Mol Phylogenet Evol. 2006;41:636–62.

    CAS  Article  PubMed  Google Scholar 

  4. Hardman M. The phylogenetic relationships among non-diplomystid catfishes as inferred from mitochondrial cytochrome b sequences; the search for the ictalurid sister taxon (Otophysi: Siluriformes). Mol Phylogenet Evol. 2005;37:700–20.

    CAS  Article  PubMed  Google Scholar 

  5. Peng Z, He S, Wang J, Wang W, Diogo R. Mitochondrial molecular clocks and the origin of the major Otocephalan clades (Pisces: Teleostei): a new insight. Gene. 2006;370:113–24.

    CAS  Article  PubMed  Google Scholar 

  6. Nakatani M, Miya M, Mabuchi K, Saitoh K, Nishida M. Evolutionary history of Otophysi (Teleostei), a major clade of the modern freshwater fishes: Pangaean origin and Mesozoic radiation. BMC Evol Biol. 2011;11:177.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lujan NK, Armbruster JW, Lovejoy N, López-fernández H. Multilocus molecular phylogeny of the suckermouth armored catfishes (Siluriformes: Loricariidae) with a focus on subfamily Hypostominae. Mol Phylogenet Evol. 2015;82:269–88.

    Article  PubMed  Google Scholar 

  8. Moreira DA, Furtado C, Parente TE. The use of transcriptomic next-generation sequencing data to assemble mitochondrial genomes of Ancistrus spp. (Loricariidae). Gene. 2015;573:171–5.

    CAS  Article  PubMed  Google Scholar 

  9. Moreira DA, Buckup PA, Andrade PCC, Magalhães MGP, Brito M, Furtado C, et al. The complete mitochondrial genome of Corydoras nattereri (Callichthyidae:Corydoradinae). Neotrop Ichthyol. 2016;14:e150167.

    Article  Google Scholar 

  10. Moreira DA, Magalhaes MGP, de Andrade PCC, Furtado C, Val AL, Parente TE. An RNA-based approach to sequence the mitogenome of Hypoptopoma incognitum (Siluriformes: Loricariidae). Mitochondrial DNA Part A. 2016;27:3784–6.

    CAS  Article  Google Scholar 

  11. Magalhães MGP, Moreira DA, Furtado C, Parente TE. The mitochondrial genome of Hypancistrus zebra (Isbrücker & Nijssen, 1991) (Siluriformes: Loricariidae), an endangered ornamental fish from the Brazilian Amazon. Conserv Genet Resour. 2016;0:1–6.

    Google Scholar 

  12. Parente TE, Moreira DA, Magalhães MGP, De Andrade PCC, Furtado C, Haas BJ, et al. The liver transcriptome of suckermouth armoured catfish (Pterygoplichthys anisitsi, Loricariidae): identification of expansions in defensome gene families. Mar Pollut Bull. 2017;115:352–61.

    CAS  Article  PubMed  Google Scholar 

  13. Havird JC, Santos SR. Performance of single and concatenated sets of mitochondrial genes at inferring metazoan relationships relative to full mitogenome data. PLoS One. 2014;9:1–10.

    Article  Google Scholar 

  14. Satoh TP, Miya M, Mabuchi K, Nishida M. Structure and variation of the mitochondrial genome of fishes. BMC Genomics. 2016;17:719.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Bernt M, Braband A, Schierwater B, Stadler PF. Genetic aspects of mitochondrial genome evolution. Mol Phylogenet Evol. 2013;69:328–38.

    CAS  Article  PubMed  Google Scholar 

  16. Saitoh K, Miya M, Inoue JG, Ishiguro NB, Nishida M. Mitochondrial genomics of ostariophysan fishes: perspectives on phylogeny and biogeography. J Mol Evol. 2003;56:464–72.

    CAS  Article  PubMed  Google Scholar 

  17. Lee W-J, Conroy J, Howell WH, Kocher TD. Structure and evolution of Teleost mitochondrial control regions. J Mol Evol. 1995;41:54–66.

    CAS  Article  PubMed  Google Scholar 

  18. Cui Z, Liu Y, Li CP, You F, Chu KH. The complete mitochondrial genome of the large yellow croaker, Larimichthys crocea (Perciformes, Sciaenidae): unusual features of its control region and the phylogenetic position of the Sciaenidae. Gene. 2009;432:33–43.

    CAS  Article  PubMed  Google Scholar 

  19. Nilsson MA. The structure of the Australian and South American marsupial mitochondrial control region. Mitochondrial DNA. 2009;20:126–38.

    CAS  Article  PubMed  Google Scholar 

  20. Wang L, Zhou X, Nie L. Organization and variation of mitochondrial DNA control region in pleurodiran turtles. Zoologia. 2011;28:495–504.

    Article  Google Scholar 

  21. Ojala D, Montoya J, Attardi G. tRNA punctuation model of RNA processing in human mitochondria. Nature. 1981;290:470–4.

    CAS  Article  PubMed  Google Scholar 

  22. Mercer TR, Neph S, Dinger ME, Crawford J, Smith M a, Shearwood AMJ, et al. The human mitochondrial transcriptome. Cell. 2011;146:645–58.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. Lin Y-F, Schulz AM, Pellegrino MW, Lu Y, Shaham S, Haynes CM. Maintenance and propagation of a deleterious mitochondrial genome by the mitochondrial unfolded protein response. Nature. 2016;533:1–8.

    Article  Google Scholar 

  24. Sosa MX, Sivakumar IKA, Maragh S, Veeramachaneni V, Hariharan R, Parulekar M, et al. Next-generation sequencing of human mitochondrial reference genomes uncovers high heteroplasmy frequency. PLoS Comput Biol. 2012;8:e1002737.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  25. Huang T. Next generation sequencing to characterize mitochondrial genomic DNA heteroplasmy. Curr Protoc Hum Genet. 2011;19(8):1–12.

    Google Scholar 

  26. Van Leeuwen T, Vanholme B, Van Pottelberge S, Van Nieuwenhuyse P, Nauen R, Tirry L, et al. Mitochondrial heteroplasmy and the evolution of insecticide resistance: non-Mendelian inheritance in action. Proc Natl Acad Sci U S A. 2008;105:5980–5.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Roxo FF, Albert JS, Silva GSC, Zawadzki CH, Foresti F, Oliveira C. Molecular phylogeny and biogeographic history of the armored neotropical catfish subfamilies Hypoptopomatinae, Neoplecostominae and Otothyri. PLoS One. 2014;9:e105564.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Cramer CA, Bonatto SL, Reis RE. Molecular phylogeny of the Neoplecostominae and Hypoptopomatinae (Siluriformes: Loricariidae) using multiple genes. Mol Phylogenet Evol. 2011;59:43–52.

    CAS  Article  PubMed  Google Scholar 

  29. Armbruster JW, Werneke DC, Tan M. Three new species of saddled loricariid catfishes, and a review of Hemiancistrus, Peckoltia, and allied genera (Siluriformes). Zookeys. 2015;123:97–123.

    Article  Google Scholar 

  30. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–20.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson D a, Amit I, et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011;29:644–52.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  32. Haas BJ, Papanicolaou A, Yassour M, Grabherr M, Blood PD, Bowden J, et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nat Protoc. 2013;8:1494–512.

    CAS  Article  PubMed  Google Scholar 

  33. Iwasaki W, Fukunaga T, Isagozawa R, Yamada K, Maeda Y, Satoh TP, et al. Mitofish and mitoannotator: a mitochondrial genome database of fish with an accurate and automatic annotation pipeline. Mol Biol Evol. 2013;30:2531–40.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. Bernt M, Donath A, Jühling F, Externbrink F, Florentz C, Fritzsch G, et al. MITOS: improved de novo metazoan mitochondrial genome annotation. Mol Phylogenet Evol. 2013;69:313–9.

    Article  PubMed  Google Scholar 

  35. Thorvaldsdóttir H, Robinson JT, Mesirov JP. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief Bioinform. 2013;14:178–92.

    Article  PubMed  Google Scholar 

  36. Milne I, Bayer M, Cardle L, Shaw P, Stephen G, Wright F, et al. Tablet--next generation sequence assembly visualization. Bioinformatics. 2009;26:401–2.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25:2078–9.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Gouy M, Guindon S, Gascuel O. SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Mol Biol Evol. 2010;27:221–4.

    CAS  Article  PubMed  Google Scholar 

  39. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  40. R Development Core Team. R: A Language and Environment for Statistical Computing [Internet]. Team RDC, editor. R Found. Stat. Comput. Vienna: R Foundation for Statistical Computing; 2008. p. 409. Available from:

  41. Lanfear R, Calcott B, Ho SYW, Guindon S. Partitionfinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses. Mol Biol Evol. 2012;29:1695–701.

    CAS  Article  PubMed  Google Scholar 

  42. Darriba D, Taboada GL, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 2012;9:772.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  43. Miller MA, Pfeiffer W, Schwartz T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. In: Proc. Gatew. Comput. Environ. Work. 2010. p. 1–8.

    Google Scholar 

  44. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30:1312–3.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

Download references


Authors are thankful to Maithê G.P. Magalhães and Paula C.C. de Andrade for providing essential support for Illumina Libraries preparation at FIOCRUZ, to Emanuel Neuhaus (MN/UFRJ) and Gustavo A. Ferraro (MN/UFRJ, FAPERJ fellow) for providing curatorial support for the processing of voucher specimens at MN/UFRJ, to Dr. Rachel Ann Hauser-Davis for comments on early versions of this MS, and to Dr. Jansen Zuanon (INPA) for valuable assistance in the identification of Amazonian samples.


Major financial support came from the Partnerships for Enhanced Engagement in Research (PEER) grant from the U.S. Agency for International Development (PGA-2000003446 and PGA-2000004790) to TEP, associated with NSF grant DEB-1120263 to Dr. Mark E. Hahn, from the Woods Hole Oceanographic Institution (WHOI). Authors acknowledge the use of the computer clusters from the IOC/FIOCRUZ and the WHOI. Additional financial support was provided by grants from the following agencies from Brazil: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) e Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM), to PAB (CNPq 307610/2013-6, 564940/2010-0, 476822/2012-2, CAPES/CNPq Protax 440566/2015-0, and FAPERJ E-26/111.404/2012, E-26/200.697/2014), to ALV (CNPq 303930/2014-4, 573976/2008-2 and FAPEAM 0603159/2008), to DAM (CAPES PhD fellowship) and to TEP (CAPES postdoctoral PNPD fellowship). The funding agencies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

The voucher specimens for species used herein are deposited in the permanent Ichthyological Collection of the Museu Nacional, Universidade Federal do Rio de Janeiro – MNRJ under the numbers listed in Table 2. The mitochondrial genomes described herein are available on GenBank under the accession numbers listed in Table 2.

Authors’ contributions

D.A.M. performed data analyses/interpretation and drafted the manuscript. P.A.B. contributed with sample collection, data interpretation and manuscript preparation. C.F. performed Illumina sequencing and reviewed the manuscript. A.L.V. contributed with sample collection and manuscript preparation. R.S. contributed with data analyses and manuscript preparation. T.E.P. designed the work, contributed with data analyses, performed data interpretation and wrote the manuscript. All authors have read and approved the manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

“Not applicable.”

Ethics approval and consent to participate

Fish sampling and handling were authorized by the appropriate Brazilian Government agency (Instituto Chico Mendes de Conservação da Biodiversidade, ICMBio), under the license number 21006–4.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Thiago Estevam Parente.

Additional files

Additional file 1:

Summary data about mitochondrial genome sequences produced in the study. Mitogenomes were assembled using transcriptomic data. The number of transcripts used to assemble each mitogenome is shown, as well as their lengths without gaps. The 100 bp paired end Illumina Hi-Seq2500 reads were mapped against the assembled mitochondrial genome. The number of total reads mapped, as well as the average and median sequencing depth, which estimates the number each nucleotide was sequenced, are also provided. The nucleotide usage for each mitochondrial genome is shown. (PDF 59 kb)

Additional file 2:

Summary data about mitochondrial genome sequences produced in the study. Total length for each mitochondrial gene is given. For the protein coding genes, the used start and stop codons are shown. The complete 12S and 16S ribosomal RNA are highlighted in bold. (PDF 104 kb)

Additional file 3:

Completeness of transfer RNAs sequencing. It is shown whether each of the 22 tRNA coded in the mitochondrial genome of 31 Loricarioidei species was sequenced to its complete length (complete), partially sequenced (partial) or not sequenced (not seq.). (PDF 65 kb)

Additional file 4:

The mitochondrial control region highlighting the Conserved Sequence Blocks (CSB). Insertion/deletion mutations (indels) are shown as hyphens (−). Background is colored according to the nucleotide at each position, blue for T, red for A, yellow for G and green for C, or in white for indels. The positions of the CSB are delimited at the right bottom of the alignment. (PDF 376 kb)

Additional file 5:

Heteroplasmic sites identified on the mitochondrial genomes of Loricarioidei catfishes. This spreadsheet file is sub-divided in 32 independent sheets; one containing the legend, another with a summary and one for each of the 31 Loricarioidei species, identified by their field numbers as detailed on Table 2 in the main text. The sheets for each species show every heteroplasmic position identified, the total number of supporting reads, as well as, for each nucleotide, the absolute count and its proportion. On the Summary sheet, each column contains all the heteroplasmic positions found for a single species (identified on the column head). The first column on the left shows the gene where this position is located. Genes coding for ribosomal RNAs are colored in green, while genes coding for transfer RNAs are colored in blue and protein coding genes are colored in orange. Lines represent homologous positions among the mitochondrial genomes from the different species. Three conditions were used to characterize a heteroplasmic site: first, different nucleotides were sequenced in the same position; second, that position must have more than 100 supporting reads; and third, the frequency of the second most frequent base must be higher than 10%. On the Summary sheet, the positions with more than 1000 supporting reads are highlighted in red. (XLSX 63 kb)

Additional file 6:

Phylogenetic tree retrieved using the three longest genes (A) and the three genes with the best performance (B). The three longest genes, cox1, nad4 and nad5, also harbored most informative characters. A - The position of Dekeyseria amazonica, highlighted in a red box, changed in relation to the tree using the 15 mitochondrial genes. The three genes with best performance as identified by Havird & Santos [13] were nad2, nad4 and nad5. B - The position of Loricaria cataphracta, highlighted in a red box, changed in relation to the tree using the 15 mitochondrial genes. Genes were aligned with built-in MUSCLE using SeaView and used for phylogenetic tree reconstruction using RAxML under the GTR + GAMMA + I model and 1000 bootstrap replica. (PDF 62 kb)

Additional file 7:

Confirmation of species identification using cox1 barcode sequence and the BOLD Systems. The Folmer region of Cytochrome c oxidase subunit 1 of each species was used as queries for similarity searches against the BOLD database. The resulting output is presented as a phylogenetic tree generated online. The query species are shown in red and indicated by a red arrow. For each tree, the species name, as well as its field and voucher numbers are shown above the arrow. (PDF 765 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Moreira, D.A., Buckup, P.A., Furtado, C. et al. Reducing the information gap on Loricarioidei (Siluriformes) mitochondrial genomics. BMC Genomics 18, 345 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Catfishes
  • Teleostei
  • Loricariidae
  • Biodiversity
  • Evolution
  • Neotropical Region
  • Next-Generation Sequencing