Exceptional Enlargement of the Mitochondrial Genome Results from Distinct Causes in Different Rain Frogs (Anura: Brevicipitidae: <i>Breviceps</i>)

Hemmi, Keitaro; Kakehashi, Ryosuke; Kambayashi, Chiaki; Du Preez, Louis; Minter, Leslie; Furuno, Nobuaki; Kurabayashi, Atsushi

doi:https://doi.org/10.1155/2020/6540343

International Journal of Genomics

On this page

Abstract Introduction Materials and Methods Results and Discussion Conclusion Data Availability Conflicts of Interest Acknowledgments Supplementary Materials References Copyright Related Articles

Research Article | Open Access

Volume 2020 | Article ID 6540343 | https://doi.org/10.1155/2020/6540343

Exceptional Enlargement of the Mitochondrial Genome Results from Distinct Causes in Different Rain Frogs (Anura: Brevicipitidae: Breviceps)

Keitaro Hemmi,¹Ryosuke Kakehashi,^1,2Chiaki Kambayashi,¹Louis Du Preez,^3,4Leslie Minter,³Nobuaki Furuno,¹and Atsushi Kurabayashi^1,2,3

Academic Editor: Hieronim Jakubowski

Received15 Sept 2019

Accepted11 Dec 2019

Published23 Jan 2020

Abstract

The mitochondrial (mt) genome of the bushveld rain frog (Breviceps adspersus, Brevicipitidae, Afrobatrachia) is the largest (28.8 kbp) among the vertebrates investigated to date. The major cause of genome size enlargement in this species is the duplication of multiple genomic regions. To investigate the evolutionary lineage, timing, and process of mt genome enlargement, we sequenced the complete mtDNAs of two congeneric rain frogs, B. mossambicus and B. poweri. The mt genomic organization, gene content, and gene arrangements of these two rain frogs are very similar to each other but differ from those of B. adspersus. The B. mossambicus mt genome (22.5 kbp) does not differ significantly from that of most other afrobatrachians. In contrast, the B. poweri mtDNA (28.1 kbp) is considerably larger: currently the second largest among vertebrates, after B. adspersus. The main causes of genome enlargement differ among Breviceps species. Unusual elongation (12.5 kbp) of the control region (CR), a single major noncoding region of the vertebrate mt genome, is responsible for the extremely large mt genome in B. poweri. Based on the current Breviceps phylogeny and estimated divergence age, it can be concluded that the genome enlargements occurred independently in each species lineage within relatively short periods. Furthermore, a high nucleotide substitution rate and relaxation of selective pressures, which are considered to be involved in changes in genome size, were also detected in afrobatrachian lineages. Our results suggest that these factors were not direct causes but may have indirectly affected mt genome enlargements in Breviceps.

1. Introduction

Mitochondrial (mt) genomes of multicellular animals (metazoans) are generally closed-circular and double-stranded DNA molecules approximately 14–20 kbp in length [1–3]. However, genome size ranges from 6 to 48 kbp [2, 4], and linear and fragmented mtDNAs have been found in approximately 9000 animals investigated thus far [5–7]. In most metazoans, this small organelle genome encodes a typical set of 37 genes: 13 protein genes, involved in the electron transport system of respiration, two rRNA genes (rrns), and 22 tRNA genes (trns). In addition, animal mt genomes contain one long noncoding region, harboring several sequence elements related to mt genomic transcription and replication, named the control region (CR) or alternatively the D-loop region [2].

The mt genomic structure of metazoans, particularly vertebrates, tends to be conserved among closely related taxa. The same mt gene content and gene arrangement (synteny) are observed from fishes to mammals (e.g., [8, 9]). This genomic organization would have arisen in a common ancestor of vertebrates and has been maintained in a wide range of vertebrate taxa over 400 million years [10, 11].

However, in some vertebrate taxa, increases in gene content due to gene duplication and rearrangements of mt gene positions are often observed (e.g., [8, 12]). In particular, a greater degree of structural change in mt genomes has been reported for amphibians, especially modern anurans (neobatrachians) (e.g., [13, 14]). Among anurans, the members of the basal group (a paraphyletic group generally called the “Archaeobatrachia”) retain the typical ancestral (i.e., symplesiomorphic) mt genome organization of vertebrates [15, 16]. In contrast, most of the neobatrachians share the derived positions of three trns translocated from their original locations (LTPF-trn cluster) [15, 17]. The Neobatrachia contains two superfamilies, Hyloidea and Ranoidea. The latter includes three large groups, Microhylidae, Natatanura, and Afrobatrachia [18, 19]. Of these, microhylid frogs retain the mt genomic structure of typical neobatrachian, while in natatanuran and afrobatrachian taxa, mt genomic rearrangements accompanying duplications and translocations of mt genes and the CR are often observed [13, 14, 16, 20, 21]. In particular, the mt genomes of afrobatrachians show large-scale structural changes.

The Afrobatrachia is a group of frogs, endemic to Africa, which currently consists of 422 described species in four families: Arthroleptidae, Brevicipitidae, Hemisotidae, and Hyperoliidae [22]. We have sequenced the complete mt genomes of four afrobatrachians representing all four afrobatrachian families [23]. All of these frogs tend to have large mt genomes, exceeding 20 kbp, and three of them have duplicated mt genes and/or CRs (excluding Hemisus). In particular, the mt genome of Breviceps adspersus (Brevicipitidae) has a highly reconstructed mt genome with many gene rearrangements and many duplicated gene regions. Consequently, the size of the B. adspersus mt genome is the largest among those vertebrates for which mtDNA has been sequenced to date (also the 13th largest among metazoans) [23].

To investigate the evolutionary origin and significance of the unusually large mt genome of B. adspersus, we analyzed the mt genomes of two additional Breviceps species, B. mossambicus and B. poweri. It has been suggested that the duplication of mt genes and the CRs, which results in an increase in genome size, are the result of nonadaptive evolution which, in insects, is correlated with an acceleration of nucleotide substitution rate [24] and a relaxation of purifying selective pressure, leading to a reduction in functional constraints that purge slightly deleterious mutations [25]. Thus, we investigated the changes in the substitution rate and selection pressure among afrobatrachian mt genomes and discuss the correlation between mt genome size and the change in the substitution rate and selective pressure.

2. Materials and Methods

2.1. Specimens Used

In this study, we used four frog specimens: one Mozambique rain frog, Breviceps mossambicus (Peters, 1854), and three Power’s rain frogs, B. poweri (Parker, 1934) [26, 27]. These frogs were obtained via the pet trade; thus, their collection sites are unknown. The frog specimens were stored in 95.5% ethanol as part of AK’s personal amphibian collection. The voucher numbers are 15-004, 15-008, and 15-010 for B. poweri and 14-001 for B. mossambicus.

2.2. Molecular Experiments

We extracted and purified the total DNA from the liver tissue of each fixed specimen with a DNeasy Blood & Tissue Kit (QIAGEN K. K., Tokyo, Japan) or using phenol/chloroform extraction with “DNA sui-sui” extraction buffer (Rizo Inc., Tsukuba, Japan) and ethanol precipitation methods [28].

From the purified total DNA, the whole mtDNA was amplified by PCR and sequenced for B. poweri (voucher 15-004) and B. mossambicus. The PCR amplification and sequencing procedures from Kurabayashi et al. [10] were followed. Specifically, for each specimen, we amplified 10 overlapping fragments containing the entire mt genome using the long and accurate (LA) PCR method with LA-Taq (Takara Bio Inc., Shiga, Japan) according to the manufacturer’s instructions. These fragments were purified using the gel extraction method with a GenElute Agarose Spin Column (Sigma-Aldrich Japan Inc., Tokyo, Japan). The purified PCR fragments were sequenced using the primer walking method with an ABI 3130xl automated DNA sequencer (Applied Biosystems, Foster City, CA, USA). In this study, we used a total of 117 PCR primers for mtDNA amplification and/or sequencing, and 108 of them were newly designed during this study. All the primers used are listed in Supplementary Table S1.

2.3. NGS

The PCR fragments containing the CRs were very long, and these fragments harbored many direct repeat sequences that could not be read by the primer walking method (see Supplementary Fig. S1). Thus, these fragments were sequenced using single-molecule real-time (SMRT) sequencing with the PacBio RS II next-generation sequencer (NGS), which allows exceptionally long read sequencing () [29]. We also applied the multiplex-amplicon approach (see [29]). Briefly, we amplified the CR fragments from three B. poweri and one B. mossambicus specimens (approx. 13 and 8 kbp, respectively; see Supplementary Fig. S2) with the primers having distinct 3 tag sequences for each specimen (consequently, the PCR fragments amplified from the same specimen have the same specific tag sequences, and thus, the PCR results were sortable from the mass NGS output-multiplex-amplicon method). Approximately 5 μg of the gel-purified CR fragments of two B. poweri (vouchers 15-004 and 15-010) and one B. mossambicus was used for the library construction for NGS. We outsourced the library construction and SMRT sequencing to CoMIT (Center of Medical Innovation and Translational Research) of Osaka University. The first SMRT run allowed for the determination of the entire CR sequences of B. mossambicus and one B. poweri specimen (15-010). However, we could not obtain enough sequence reads for another B. poweri specimen (15-004). Thus, for this specimen, we made two internal PCR primers (named bfCSB_Fow1 and bfCSB_Rev2, Supplementary Table S1) based on the resultant CR sequence of B. poweri (15-010). Using these primers, two fragments of the 5 and 3 sides of the CR (approx. 4 and 9 kbp, respectively) were separately amplified from B. poweri (15-004) and the fragments were sequenced by another SMRT run. The assembled sequences of each CR fragment were reconstructed from the RS II outputs using the Long Amplicon Analysis program implemented in the SMRT Link analysis system [29].

The assembled whole mtDNA sequences of B. mossambicus and B. poweri (15-004) and the CR sequence of B. poweri (15-010) were deposited in the International Nucleotide Sequence Database Collaboration (INSDC) under the accession numbers LC498571, LC498572, and LC498573, respectively.

2.4. Phylogenetic Analyses and Divergence Time Estimation

We performed phylogenetic tree reconstructions and a divergence time estimation by adding the sequence data obtained in this study to the dataset of Kurabayashi and Sumida [23], and the analytical methods used by Irisarri et al. [15] were followed. The previous dataset includes not only mt gene sequences but also nuclear genes. The nuclear data were also used in this study. Mitochondrial sequence data of afrobatrachians reported by Zhang et al. [16] were not used here because of a lack of genome size information and sequences of some mt genes. The genes used and their accession numbers are listed in Supplementary Table S2.

First, we aligned the sequences of each of the 13 protein genes, two rrns, and 22 trns, separately. The protein and RNA genes were aligned using the TranslatorX program with the default setting [30] and MAFFT with the L-INS-i option [31], respectively. The sequences of trns were manually aligned using their secondary structures as a guide. Ambiguously aligned sites were deleted using the Gblocks program ver. 0.91b with the default parameters [32]. The final alignment dataset consisted of 21,063 bp (consisting of 13,938 and 7125 mt and nuclear gene sequences, respectively) from 49 operational taxonomic units (OTUs). The alignment data used are provided in Supplementary Data S1.

We used the following sequences in the phylogenetic analyses: two mt rrns, 22 mt trns, and the 1st and 2nd codons of the 13 mt and nine nuclear protein genes (total 15,093 bp). We did not use the 3rd codon positions of the protein genes in the phylogenetic analyses (and divergence time estimation) because it is known that their fast substitution rates could distort the reconstruction of deep anuran phylogenies [33, 34]. We also applied a partitioning strategy in the phylogenetic analyses; i.e., the concatenated sequence data were partitioned into statistically suitable partitions and a distinct nucleotide substitution model was applied for each sequence partition. The PartitionFinder program ver. 1.1.1 [35] was used to estimate the best partitioning scheme using Akaike’s information criterion (AIC) [36]. Consequently, a setting with 17 distinct partitions was suggested as the best partitioning scheme and this partitioning scheme was used in both the maximum likelihood (ML) and Bayesian inference (BI) analyses. An independent general time reversible+gamma distribution (GTR+G) substitution model for each of the 17 partitions was applied in the ML analysis. For the BI analysis, the best substitution model was estimated for each partition using the Kakusan4 program [37]. The detailed partitioning scheme and the suggested substitution models in BI are summarized in Supplementary Data S1.

We performed phylogenetic reconstructions using ML and BI methods. RAxML ver. 8.2.12 and MrBayes ver. 3.2.6 software packages were used for the ML and BI analyses, respectively [38, 39]. The rapid hill climbing algorithm (implemented in RAxML) with the starting tree option of 100 randomized parsimonious trees was applied for the ML analysis. For the BI analysis, 10 million generations of four Markov chains (MCs) were run with one sampling per every 1000 generations and the 1st 10% samples were discarded as burn-in. The convergence of the posterior distribution of model parameters (all parameters reached >200) was checked using Tracer ver. 1.5 [40]. The supports for the internal branches of reconstructed trees were evaluated using bootstrap percentages (BPs) calculated by 1000 pseudoreplications and Bayesian postprobabilities (BPPs) in ML and BI analyses, respectively.

The divergence times of anurans were estimated using a Bayesian dating method with the BEAST ver. 2.5.2 program package [41]. In the estimation, the amphibian phylogenies recovered from both ML and BI analyses were used as the topology constraint (Figure 1). The sauropsid monophyly (lizard+bird), not recovered by our ML and BI analyses, was a priori assumed in this dating analysis as in previous studies [15, 23]. The same data partitioning scheme and substitution models used in the BI analysis were also applied here. We used the Yule process [42] to describe cladogenesis. The final MCs were run twice for 100 million generations with one sampling per every 10,000 generations, and the 1st one million generations were discarded as burn-in. The posterior distributions of model parameters were checked in the same way as the above BI analysis. Following Irisarri et al. [15], we applied seven (lower age boundaries) calibration points as follows: (A) Sauropsida-Synapsida split: >312 million years ago (Ma), (B) Archosauromorpha-Lepidosauromorpha split: >260 Ma, (C) Cryptobranchidae-Hynobiidae split: >146 Ma, (D) Anura-Caudata split: >249 Ma, (E) most recent common ancestor (MCA) of Discoglossoidea: >161 Ma, (F) MCA of Pipoidea: >146 Ma, and (G) Calyptocephalella-Lechriodus split: >53 Ma. These were used as prior boundaries for divergence time estimation.

Figure 1

Mitochondrial genome organization of afrobatrachians and other anurans. The mitochondrial (mt) genome organization of Breviceps mossambicus and B. poweri determined in this study is compared with that of other afrobatrachians, neobatrachians, and vertebrates reported in previous studies (^aKurabayashi and Sumida [23] and ^bZhang et al. [16]). Genes, pseudogenes, control regions (CRs), and light-strand replication origins (O_L) are shown in boxes. The heavy- and light-strand encoded genes are denoted above and below each gene box, respectively. The boxes do not reflect the actual sizes of the genes and CRs. The single-letter amino acid codes designate the corresponding transfer RNA genes (trns). L1, L2, S1, and S2 indicate trns for Leu (UUR), Leu (CUN), Ser (UCN), and Ser (AGY), respectively. “” shows a pseudogene. Other gene abbreviations are as follows. 12S and 16S: 12S and 16S ribosomal RNAs; CO1–3: cytochrome c oxidase subunits 1–3; Cytb: cytochrome apoenzyme b; ND1–6 and 4L: NADH dehydrogenase subunits 1–6 and 4L. The genes, pseudogenes, O_L, and CRs with duplications and/or rearrangements in afrobatrachians are colored. “Copy” with number shows the duplicated regions within a species. Closed arrows between species indicate the rearranged genes and the presumed evolutionary direction of the translocations. The photos of afrobatrachian species are also provided (excluding Callulina kreffti).

2.5. Relative Rate Test

We compared the relative rates of nucleotide substitutions of mt genes (all mt genes, all mt protein-coding genes, all rrns, and all trns) among afrobatrachian lineages using relative rate tests (RRTs) [43] with the RRTree program [44]. The Kimura two-parameter substitution model [45] was used for the estimation of genetic distances. In this analysis, we used the gene data of 24 neobatrachians. Noncompared lineages were used as the outgroups in each comparison (e.g., when we compared Hemisus and the three Breviceps species, the lineages of the remaining 20 neobatrachians were regarded as the outgroups). The lineages for each comparison are shown in Table 1.

2.6. Detection of Changes in Lineage-Specific Selective Pressure

It is known that the ratio of nonsynonymous/synonymous substitutions (dN/dS ) can be used to identify the changes in selective pressure among taxa [15, 46, 47]. To understand the changes in the dN/dS ratio in ranoid lineages, we used the “branch model” analysis [48] using the Codeml program implemented in PAML 4.9 [49]. In this analysis, we used the alignment data of mt protein genes from 24 neobatrachian taxa and the ML and BI tree topology. We compared five branch models with distinct assumptions about dN/dS ratios. In one model (null model), the single constant was assumed in all neobatrachian lineages while other models allowed the changes in the dN/dS ratios on specific ranoid branches. The details of the models are shown in Table 2. The branch lengths were first calculated under the null model, and the resultant branch lengths were applied in the other models. The significance of the differences in log likelihoods among these models was tested using the likelihood ratio test (LRT).

3. Results and Discussion

3.1. Huge mt Genomes of Rain Frogs

We determined the entire mt DNA sequences of two rain frogs, B. mossambicus and B. poweri. These mt genomes are 22,553 and 28,059 bp in length, which are very large for a vertebrate mt genome (typical size range is 16–17 kbp [1]). Although the genome size of B. mossambicus is similar to those of other afrobatrachian frogs (e.g., marbled reed frog (Hyperolius marmoratus): 22,595 bp and hairy frog (Trichobatrachus robustus): 21,418 bp; see Figure 1), the B. poweri mt genome was the second largest among the vertebrates investigated thus far (according to NCBI organelle genome resources [7] as of August 2019). The third largest vertebrate mt genome is 25,972 bp for the prickly gecko (Heteronotia binoei) [50]. Therefore, the mt genome of B. poweri is closer in size to that of B. adspersus, which possesses the largest known mt genome of vertebrates (28,757 bp).

In contrast to the large genome sizes, the mt gene content of both B. mossambicus and B. poweri is similar to that of many other vertebrates (Figure 1), containing the set of 37 single genes (13 proteins, two rRNA, and 22 tRNA genes) and single long and short noncoding regions commonly found in vertebrate mt genomes. The long noncoding region is referred to as CR and contains putative sequence elements involved in DNA replication and RNA transcription (e.g., terminate associate sequence (TAS) and conserved sequence blocks 1–3 (CSB1–3); see Supplementary Fig. S1 and [51]), and a short noncoding region is known as the light-strand replication origin (O_L). The presence of a small pseudogene, trnS(AGY), between NADH dehydrogenase subunits 4 and 5 (nd4 and nd5) is the singular exception in gene content (Figure 1).

The gene content of B. mossambicus and B. poweri is not similar to that of the congeneric B. adspersus mt genome, which has many duplicated and triplicated gene regions and duplicated CRs, making it the largest known mt genome among vertebrates (Figure 1). Instead, the cause of the mt genome enlargement in B. mossambicus and B. poweri is the unusual expansions of the control regions. The lengths of their CRs are 6,618 and 12,537 bps, respectively, although the typical CR lengths in vertebrates are 1-2 kbp [1]. The long CRs of B. poweri and B. mossambicus result from the occurrence of multiple and long-tandem repeats (Supplementary Fig. S1). The B. mossambicus CR contains four distinct direct tandem repeats, and these repetitive sequences, totaling 4228 bp in length, occupy 63.9% of the CR. The CR of B. poweri (individual 4) has six distinct repeat sequence groups. Two of them are quite long (see Supplementary Fig. S1): one repeat group consists of 1,150 and 1,151 bp, nearly complete, repeat sequences (repeat 1: totaling 2301 bp), while another is composed of 23 units of 233–405 bp incomplete direct repeat sequences (repeat 3: totaling 7,339 bp). Consequently, the total length of the six repeat sequences in the B. poweri CR is 10,625 bp (occupying 84.7% of the CR nucleotides). The long CR over 10 kbp in length is quite rare and has never been completely sequenced in other vertebrate taxa (approximately 12 kbp CR occurred in a Malagasy frog (Gephyromantis pseudoasper) [20]).

To determine whether the unusually long CR is specific to the individual frogs used or is a common characteristic of the frog species, we checked the CRs of two additional B. poweri individuals. The PCR fragments having similar lengths (approx. 13 kbp, including the whole CR and 5and 3 franking gene regions) are commonly amplified in all three individuals (Supplementary Fig. S2). We also sequenced the CR of one of the two additional individuals. Although the CR lengths differ by 627 bp between the B. poweri individuals (12,537 bp vs. 11,910 bp), the CR sequences of the two B. poweri individuals are quite similar, excluding the number of repeat units. Therefore, the very long CR, with numerous repetitive sequences, seems to be a common feature of this rain frog species.

It is almost impossible to precisely sequence long repetitive regions exceeding 10 kbp, such as those of the B. poweri CR by conventional sequencing methods (i.e., primer walking and construction of deletion mutants [20]) or by using the NGS technique with a short-read sequencing strategy [52]. In this study, a long-read strategy with PacBio RS II allowed us to relatively easily sequence such long repetitive sequences. These results demonstrate the superiority and necessity of long-read sequencing in analyzing the repetitive sequences occasionally found in both organelles and nuclear genomes.

3.2. Phylogeny, Timing, and Distinct Causes of mt Genome Enlargement in These Congeneric Rain Frogs

To infer the phylogenetic lineages and evolutionary times of the mt genome enlargement of afrobatrachians, including Breviceps, we performed molecular phylogenetic analyses and divergence time estimation. The ML and BI methods reconstructed the same tree topology, and the maximum log likelihood () of the resultant ML and the average of the BI tree were -224667.83 and -221797.17, respectively. The time tree of amphibians having the ML/BI tree topology is shown in Figure 2. The major anuran phylogenies and the split ages agreed completely or to a substantial degree with those from previous studies: e.g., the monophyly of neobatrachians and paraphyly of archaeobatrachians with respect to neobatrachians (), monophyly of ranoids (), and the three major clades of ranoids (Natatanura, Microhylidae, and Afrobatrachia, which started to split from 127.0 Ma) (e.g., [15, 16, 19, 53]).

Figure 2

Time tree of anurans. A phylogenetic tree reflecting the divergence ages estimated using a Bayesian relaxed dating method with the 15,093 bp nucleotide data. The tree topology of amphibians is the same as that of the resultant ML and BI trees. Bold branches indicate the lineages leading to the extant anurans. Horizontal blue bars on each node indicate 95% credibility intervals of estimated divergence age. The bootstrap probability (BP) of ML and Bayesian postprobabilities (BPP) are also shown on the right side of each node ( and 99 BPPs), and the calibration points used in the dating analysis are indicated on the corresponding nodes (A to G). The scale of the horizontal axis is in million years.

The resultant phylogenies of afrobatrachian taxa completely match those of recent studies [16, 23, 54] (Figure 3), excluding the Afrobatrachia+Microhylidae clade not supported in Feng et al. [19]. Specifically, (1) Afrobatrachia is monophyletic, (2) Microhylidae becomes the sister taxon of Afrobatrachia, (3) Brevicipitidae forms a clade with Hemisotidae (this clade is called Xenosyneunitanura [18]), (4) Breviceps is monophyletic and B. poweri is the basal taxon of the three species sampled in this genus, and (5) B. mossambicus and B. adspersus have a closer affinity within this sample. The estimated divergence ages of the corresponding nodes are as follows: (1) 118.1 Ma for the divergence between Afrobatrachia and Microhylidae, (2) 107.9 Ma for the most recent common ancestor of afrobatrachians, (3) 87.4 Ma for the split of Brevicipitidae and Hemisotidae, (4) 47.1 Ma for the divergence of B. poweri from the lineage of B. mossambicus+B. adspersus, and (5) 34.0 Ma for the split of B. mossambicus and B. adspersus. The divergence ages estimated here largely agree with those from recent studies [16, 23]. However, for the Breviceps divergences, younger ages have been estimated by Nielsen et al. [54] (20 and 18 Ma for the divergences of 4 and 5, respectively). They used a total of 24 Breviceps taxa and applied some young calibration points within afrobatrachian lineages in their dating analyses. These differences in the data analysis could account for the differences in estimated divergence ages between our study and that of Nielsen et al. [54].

Figure 3

Changes in the dN/dS ratio () among ranoid lineages. The estimated values of neobatrachian branches are shown (based on model 4 in Table 2). The tree topology is the same as those of the ML and BI trees reconstructed in this study. The constant (0.053) of nonranoid neobatrachian lineages was regarded as the background value. The estimated is shown on each ranoid branch. A high indicates the relaxation of purifying pressure. The branches for which values are lower (<0.053) and 1.5 times higher (>0.08) than the background are shown in blue and red colors, respectively. The frog taxa having mtDNAs exceeding >20 kbp and 28 kbp are also highlighted by orange and red colors, respectively.

As described above, the mt genomes of microhylid frogs, the sister group of Afrobatrachia, exhibit average genome sizes for vertebrates (16.7–17.2 kbp) [55, 56]. In contrast, the afrobatrachian mt genomes exceed 20 kbp for all six species examined. Thus, the mt genome enlargement appears to be an evolutionary trend that has arisen in the lineages leading to the living afrobatrachians after the split from the microhylid lineage (Figures 2 and 3). In particular, the mt genome sizes of the two Breviceps species, B. adspersus and B. poweri, are over 28 kbp, making them as the largest and second largest known mt genomes of vertebrates. With regard to the interspecific phylogeny of Breviceps, these two species are not monophyletic; i.e., B. adspersus is closer to B. mossambicus than to B. poweri (Figure 1). Overall, our results indicate that the huge mt genomes arose in two independent rain frog lineages within relatively short periods (>47 and >30 million years for the lineages leading to B. poweri and B. adspersus, respectively). Furthermore, it is noteworthy that the physical causes of mt genome enlargement differ between these two rain frogs. The duplication of multiple gene/CRs and the accumulation of repetitive sequences are the main causes of mt genome enlargement in B. adspersus and B. poweri, respectively.

There are several examples of mt genome enlargement shared by congeneric species. For example, Malagasy poison frogs (Mantella spp.) commonly have >22 kbp mt genomes enlarged by the duplication of genes and CRs [20, 25], and two Scapharca ark shells exhibit >46 kbp mt genomes, mainly caused by elongations (>30 kbp) of noncoding sequences [4, 57]. However, there has been no similar example to that of Breviceps where the mt genome enlargement occurs in independent congeneric lineages, from distinct causes. Thus, the mt genomic structure is highly variable in this frog taxon.

3.3. Gene Rearrangements and Evolutionary Inference

Although a highly rearranged mt genome is present in B. adspersus [23], the mt gene content and their arrangements of the congeneric B. poweri and B. mossambicus do not deviate largely from the typical mt genomes of vertebrates (Figure 1). The latter Breviceps species have almost the same gene arrangement, with the exception of two small translocations of trnN and light-strand replication origin (O_L) within the WN-O_L-ACY trn cluster (Figure 1). Because the order of trnsWN-O_L found in B. poweri (and also in B. adspersus) is a primitive (plesiomorphic) gene order commonly shared by other afrobatrachians (Figure 1) [16, 23], the O_L-trnsNW order of B. mossambicus appears to be newly emerged in the lineage leading to this species.

The B. poweri and B. mossambicus mt gene arrangements are similar to those of the mt gene orders of neobatrachians, especially Hemisus. Excluding the two minor trn translocations that occurred within the same trn clusters (specifically O_L-trnsNW in B. mossambicus and trnsPLTF in Hemisus), the translocation of trnsHS is the only distinctive difference between Breviceps and Hemisus. Although the trnsHS is located between nd4 and nd5 in most neobatrachians, including Hemisus, this trn block lies between the cytochrome apoenzyme b gene (cytb) and CR in B. poweri and B. mossambicus. The novel cytb-trnsHS-CR arrangement could have arisen in a common ancestor of Breviceps after the split with other brevicipitid genera, for the following reasons: (1) the original nd4-trnsHS-nd5 arrangement remains in another brevicipitid, Callulina kreffti, mt genome [16] and (2) the pseudogene of trnS is found at its original position between nd4 and nd5 in B. poweri and B. mossambicus (Figure 1).

The gene rearrangements in animal mt genomes are considered to reflect animal evolution (e.g., [23, 58–60]), and the rearranged gene orders found in this study can be regarded as novel phylogenetic markers for brevicipitid taxa. Specifically, the O_L-trnsNW can be considered characteristic of some members of the B. mossambicus group [54], while the cytb-trnsHS-CR can be regarded as a synapomorphy of Breviceps.

In the B. adspersus mt genome, the trnsHS block is further translocated and positioned within the triplicated trns-LTPF-12Srrn-trnV-16Srrn cluster. In addition, duplications and translocations of the trnsWN-OL cluster and CR were also found in this species (Figure 1) [23]. The detailed phylogenetic lineage and evolutionary period of these large genomic modifications have not been clarified. This study shows that the mt genomes of B. poweri and B. mossambicus are not markedly rearranged from the typical neobatrachian type, although B. adspersus branches between these species’ lineages (Figure 1 and see [54]). Therefore, it can be concluded that the unique mt genome of B. adspersus evolved only in the lineage leading to this species. Large mt genomic modifications resulting in stepwise gene rearrangements along with multiple lineage splits have been reported in Malagasy frogs (Mantellidae) [20]. However, in Breviceps, large-scale genomic changes occurred in a single species lineage in a relatively short period (>47 Ma in this study and >20 Ma according to [54]), suggesting that the genomic structure of vertebrate mtDNA could harbor higher structural variability than is generally believed (e.g., [9]).

3.4. Substitution Rates and Selective Pressure on the Afrobatrachian mt Genomes and Their Correlations with Genome Size Expansion

As mentioned above, the duplication of genes/CRs and the occurrence of numerous repetitive sequences in the CR are responsible for the huge mt genomes of B. adspersus and B. poweri, respectively. Most of these events occurred in tandem, except for the nontandem duplications of CR and trnS(AGY) (Figure 1), which could have been caused by a nontandem duplication mechanism [20, 23]. In animal mt genomes, it is believed that both duplicated gene regions and tandem repeats in the CR have emerged because of errors in mtDNA replication, such as imprecise replication termination and strand slippage of the nascent DNA strand (e.g., [61, 62]). Furthermore, it has been suggested that accelerated nucleotide changes lead to the frequent tandem duplications via frequent substitutions at the initiation and termination points of mtDNA replication [24]. To investigate the correlation between genome size and nucleotide substitution rates, we compared the relative substitution rates of mt genes (four categories: all 37 genes, 13 protein genes, two rrns, and 22 trns) among afrobatrachian-related taxa using the RRT (Table 1).

The RRT showed that the substitution rates of afrobatrachian mt genes commonly having large genome sizes (>20 kbp) are significantly faster than those of the sister taxon, the microhylids, with normal genome sizes in all compared categories. Furthermore, the substitution rates of xenosyneunitanurans (Brevicipitidae+Hemisotidae), including the longest mt genomic species, are significantly higher than those of another afrobatrachian group, the laurentobatrachians (Arthroleptidae+Hyperoliidae) for all mt genes and protein genes (but are not significant for rrns and trns). These results suggest a correlation between the substitution rate and mt genome size. However, the substitution rates of the Hemisus mtDNA with a 20 kbp genome size are not significant but are faster than those of Breviceps species in all four compared categories. Among Breviceps species, the B. poweri mt genes show faster substitution rates compared to those of B. mossambicus and B. adspersus, although the latter species has the largest mt genome among vertebrates. From these results, it is concluded that mt genomes with large genome sizes also tend to have fast nucleotide substitution rates but the latter factor is not a direct cause of genome enlargement in afrobatrachian frogs.

It has been shown that animal mt genomes are subject to a strong purifying pressure that suppresses mutations leading to functional changes because the functions of mt coding genes are essential for respiration (e.g., [63]). Nevertheless, it has been reported that the purifying pressure of mt genomes is relaxed in neobatrachians, especially in the ranoid lineages [15, 23]. A relaxation of purifying selective pressure, leading to a reduction in functional constraints that purge slightly deleterious mutations, has been suggested as one of the causes of mt genome enlargement [25]. In general, the ratio of nonsynonymous and synonymous substitutions (dN/dS ratio, ) is useful to understanding the conditions for selection of the genes: positive selection (), neutral evolution (), and purifying selection (). Here, we estimate the dN/dS ratio using the branch model to investigate the changes in selective pressures in the ranoid lineages. In this analysis, we calculated the value(s) of the five branch models and compared the resultant log likelihood values among these models (Table 2). The LRT showed that model 4, with variable for all neobatrachian branches, is the best fitted among the models tested ( vs. model 3 with the 2nd largest likelihood value).

Figure 3 indicates the estimated values for the ranoid lineages under the best branch model (model 4). In all neobatrachian lineages, the estimated values are less than 1 (0.039–0.096) and confirm that the mt genomes of neobatrachian frogs are under strong purifying pressure. Compared to the background value (0.053) of the nonranoid neobatrachian lineage, the values are high in 25 of 31 ranoid branches (the branches shown in black and red in Figure 3), indicating that the purifying selection has been relaxed in these lineages. Largely relaxed branches mainly correspond to the ancestral lineages, specifically common ancestral lineages leading to Breviceps (i.e., ranoids, afrobatrachians, and microhylids, afrobatrachians, and xenosyneunitanurans: , 0.090, 0.89, and 0.89, respectively). In contrast, the values of the branches leading to the extant frogs (i.e., terminal branches) tend to be lower. On the other hand, the values of six out of 16 terminal branches are less than the background value, indicating that the purifying selection increased again in these lineages.

Among anurans, the mt genomes with >20 kbp size have only been reported from ranoid taxa (see [7]) and obvious increases in the dN/dS ratio are found in most ranoid lineages. These facts appear to support the idea that the sizes of the mt genome can change concomitantly with lower selection strengths [25]. However, it is remarkable that reincreased purifying pressures are found in species lineages leading to Mantella and Hoplobatrachus, having >20 kbp mt genomes ( and 0.052, respectively). Furthermore, selective pressures of the species lineages of B. adspersus and B. poweri ( and 0.068, respectively), i.e., the exact lineages with increased genome size, are not as relaxed as those of their ancestral lineages. Consequently, our findings suggest that low selective pressure does not directly cause the huge mt genomes as does substitution rate (see the above). Rather, the existence of relaxed purifying selection in the ancestral lineages seems to have an indirect effect on the mt genome size. This indirect correlation might be caused by the accelerated accumulation of deleterious mutations under low selective pressure. Significantly, the mutations occur at the DNA replication-related sites which could induce numerous repetitive regions, leading to large mt genomes, as pointed out in Shao et al. [24].

4. Conclusion

In this study, we show that B. poweri has the second largest known mt genome among the vertebrates after its congeneric B. adspersus. We also found that the unusually large mt genomes did not arise in a common ancestor of these Breviceps species but rather that the genome enlargement occurred independently in each species lineage within relatively short periods. Consistent with this evolutionary inference, the causes of the genome enlargement differed between these species. At present, 19 nominal species are known in Breviceps [22], but only three mt genomes have been analyzed. It is remarkable that two of these mt genomes are the largest known among the vertebrates. Also, the mt genomic structures differ significantly between these congeneric species, suggesting high variability in the mt genomic structures in this genus. Future investigations of Breviceps mt genomes may provide new insights into the hidden diversity of vertebrate mt genomes.

Data Availability

The data used to support the findings of this study are available from the INSDC under the accession numbers LC498571, LC498572, and LC498573 and Supplementary Data S1.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Acknowledgments

We are indebted to CoMIT Omics Center of Osaka University for the PacBio RS II sequencing. We would like to thank Ms. I. Takemura, Nagahama Institute of Bio-Science and Technology, for her helpful assistance in the data analyses in the SMRT Link program. This study was supported by JSPS KAKENHI grants to AK: Grant-in-Aids for Challenging Exploratory Research (#26560437) and for Scientific Research (B) (#17H04608).

Supplementary Materials

Supplementary Table S1: list of primers used in this study. Supplementary Table S2: details on OTUs and gene data used. Supplementary Data S1: alignment data, partitioning strategy, and substitution models used in phylogenetic reconstructions and divergence time estimation. Supplementary Fig. S1: control regions of Breviceps poweri and B. mossambicus. Supplementary Fig. S2: PCR fragments of Breviceps poweri and B. mossambicus control regions. (Supplementary Materials)

References

D. R. Wolstenholme, “Animal mitochondrial DNA: structure and evolution,” in Mitochondrial Genomes, D. R. Wolstenholme and K. W. Jeon, Eds., pp. 173–216, Academic Press, New York, 1992.
View at: Publisher Site | Google Scholar
F. Pereira, J. Carneiro, and B. van Asch, “A guide for mitochondrial DNA analysis in non-human forensic Investigations~!2010-01-07~!2010-04-02~!2010-05-17~!,” The Open Forensic Science Journal, vol. 3, no. 2, pp. 33–44, 2010.
View at: Publisher Site | Google Scholar
D. V. Lavrov and W. Pett, “Animal mitochondrial DNA as we do not know it: mt-genome organization and evolution in nonbilaterian lineages,” Genome Biology and Evolution, vol. 8, no. 9, pp. 2896–2913, 2016.
View at: Publisher Site | Google Scholar
Y. Hou, B. Wu, Z.-H. Liu et al., “Complete mitochondrial genome of ark shell Scapharca subcrenata,” Mitochondrial DNA Part A, vol. 27, no. 2, pp. 939-940, 2016.
View at: Publisher Site | Google Scholar
E. Kayal, B. Bentlage, A. G. Collins, M. Kayal, S. Pirro, and D. V. Lavro, “Evolution of linear mitochondrial genomes in medusozoan cnidarians,” Genome Biology and Evolution, vol. 4, no. 1, pp. 1–12, 2011.
View at: Publisher Site | Google Scholar
F. Song, H. Li, G. H. Liu et al., “Mitochondrial genome fragmentation unites the parasitic lice of eutherian mammals,” Systematic Biology, vol. 68, no. 3, pp. 430–440, 2019.
View at: Publisher Site | Google Scholar
NCBI organelle genome resources, Available from http://www.ncbi.nlm. http://nih.gov/genome/browse!/organelles/.
J. L. Boore, “Animal mitochondrial genomes,” Nucleic Acids Research, vol. 27, no. 8, pp. 1767–1780, 1999.
View at: Publisher Site | Google Scholar
J. Warzecha, A. Fornal, M. Oczkowicz, and M. Bugno-Poniewierska, “A molecular characteristic of the Anatidae mitochondrial control region – a review,” Annals of Animal Science, vol. 18, no. 1, pp. 3–15, 2018.
View at: Publisher Site | Google Scholar
A. Kurabayashi, C. Usuki, N. Mikami et al., “Complete nucleotide sequence of the mitochondrial genome of a Malagasy poison frog Mantella madagascariensis: evolutionary implications on mitochondrial genomes of higher anuran groups,” Molecular Phylogenetics and Evolution, vol. 39, no. 1, pp. 223–236, 2006.
View at: Publisher Site | Google Scholar
S. Kumar, G. Stecher, M. Suleski, and S. B. Hedges, “TimeTree: a resource for timelines, timetrees, and divergence times,” Molecular Biology and Evolution, vol. 34, no. 7, pp. 1812–1819, 2017.
View at: Publisher Site | Google Scholar
R. L. Mueller and J. L. Boore, “Molecular mechanisms of extensive mitochondrial gene rearrangement in plethodontid salamanders,” Molecular Biology and Evolution, vol. 22, no. 10, pp. 2104–2112, 2005.
View at: Publisher Site | Google Scholar
A. Kurabayashi, N. Yoshikawa, N. Sato et al., “Complete mitochondrial DNA sequence of the endangered frog Odorrana ishikawae (family Ranidae) and unexpected diversity of mt gene arrangements in ranids,” Molecular Phylogenetics and Evolution, vol. 56, no. 2, pp. 543–553, 2010.
View at: Publisher Site | Google Scholar
R. Kakehashi, A. Kurabayashi, S. Oumi, S. Katsuren, M. Hoso, and M. Sumida, “Mitochondrial genomes of Japanese Babina frogs (Ranidae, Anura): unique gene arrangements and the phylogenetic position of genus Babina,” Genes & Genetic Systems, vol. 88, no. 1, pp. 59–67, 2013.
View at: Publisher Site | Google Scholar
I. Irisarri, D. S. Mauro, F. Abascal, A. Ohler, M. Vences, and R. Zardoya, “The origin of modern frogs (Neobatrachia) was accompanied by acceleration in mitochondrial and nuclear substitution rates,” BMC Genomics, vol. 13, no. 1, p. 626, 2012.
View at: Publisher Site | Google Scholar
P. Zhang, D. Liang, R.-L. Mao, D. M. Hillis, D. B. Wake, and D. C. Cannatella, “Efficient sequencing of anuran mtDNAs and a mitogenomic exploration of the phylogeny and evolution of frogs,” Molecular Biology and Evolution, vol. 30, no. 8, pp. 1899–1915, 2013.
View at: Publisher Site | Google Scholar
M. Sumida, Y. Kanamori, H. Kaneda et al., “Complete nucleotide sequence and gene rearrangement of the mitochondrial genome of the Japanese pond frog Rana nigromaculata,” Genes & Genetic Systems, vol. 76, no. 5, pp. 311–325, 2001.
View at: Publisher Site | Google Scholar
D. R. Frost, T. Grant, J. Faivovich et al., “The amphibian tree of life,” Bulletin of the American Museum of Natural History, vol. 297, pp. 1–291, 2006.
View at: Publisher Site | Google Scholar
Y. J. Feng, D. C. Blackburn, D. Liang et al., “Phylogenomics reveals rapid, simultaneous diversification of three major clades of Gondwanan frogs at the Cretaceous–Paleogene boundary,” Proceedings of the National Academy of Sciences, vol. 114, no. 29, pp. E5864–E5870, 2017.
View at: Publisher Site | Google Scholar
A. Kurabayashi, M. Sumida, H. Yonekawa, F. Glaw, M. Vences, and M. Hasegawa, “Phylogeny, recombination, and mechanisms of stepwise mitochondrial genome reorganization in mantellid frogs from Madagascar,” Molecular Biology and Evolution, vol. 25, no. 5, pp. 874–891, 2008.
View at: Publisher Site | Google Scholar
Y. Xia, Y. Zheng, I. Miura, P. B. Y. Wong, R. W. Murphy, and X. Zeng, “The evolution of mitochondrial genomes in modern frogs (Neobatrachia): nonadaptive evolution of mitochondrial genome reorganization,” BMC Genomics, vol. 15, no. 1, p. 691, 2014.
View at: Publisher Site | Google Scholar
D. R. Frost, Amphibian species of the world: an online reference. Version 6.0, American Museum of Natural History, New York, USA, 2019.
A. Kurabayashi and M. Sumida, “Afrobatrachian mitochondrial genomes: genome reorganization, gene rearrangement mechanisms, and evolutionary trends of duplicated and rearranged genes,” BMC Genomics, vol. 14, no. 1, p. 633, 2013.
View at: Publisher Site | Google Scholar
R. Shao, M. Dowton, A. Murrell, and S. C. Barker, “Rates of gene rearrangement and nucleotide substitution are correlated in the mitochondrial genomes of insects,” Molecular Biology and Evolution, vol. 20, no. 10, pp. 1612–1619, 2003.
View at: Publisher Site | Google Scholar
B. Boussau, J. M. Brown, and M. K. Fujita, “Nonadaptive evolution of mitochondrial genome size,” Evolution, vol. 65, no. 9, pp. 2706–2711, 2011.
View at: Publisher Site | Google Scholar
W. C. H. Peters, “Diagnosen neuer Batrachier, welche zusammen mit der früher (24. Juli und 17. August) gegebenen Übersicht der Schlangen und Eidechsen mitgetheilt werden,” Bericht über die zur Bekanntmachung geeigneten Verhandlungen der königlich-preussischen Akademie der Wissenschaften zu Berlin, vol. 1854, pp. 614–628, 1854.
View at: Google Scholar
H. W. Parker, A monograph of the frogs of the family Microhylidae, Trustees of the British Museum, London, 1934.
J. Sambrook and D. W. Russell, Molecular Cloning: A Laboratory Manual, vol. 1, Cold Spring Harbor Laboratory Press, New York, 3rd Edition edition, 2001.
Pacific Bioscience, “SMRT Link user guide (v5.1.0),” 2018, Available from https: //http://www.pacb.com/documentation/smrt-link-user-guide-v5-1-0/.
View at: Google Scholar
F. Abascal, R. Zardoya, and M. J. Telford, “TranslatorX: multiple alignment of nucleotide sequences guided by amino acid translations,” Nucleic Acids Research, vol. 8, pp. 7–13, 2010.
View at: Google Scholar
K. Katoh and H. Toh, “Recent developments in the MAFFT multiple sequence alignment program,” Briefings in Bioinformatics, vol. 9, no. 4, pp. 286–298, 2008.
View at: Publisher Site | Google Scholar
J. Castresana, “Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis,” Molecular Biology and Evolution, vol. 17, no. 4, pp. 540–552, 2000.
View at: Publisher Site | Google Scholar
S. Hoegg, M. Vences, H. Brinkmann, and A. Meyer, “Phylogeny and comparative substitution rates of frogs inferred from sequences of three nuclear genes,” Molecular Biology and Evolution, vol. 21, no. 7, pp. 1188–1200, 2004.
View at: Publisher Site | Google Scholar
C. Gissi, M. D. San, G. Pesole, and R. Zardoya, “Mitochondrial phylogeny of Anura (Amphibia): a case study of congruent phylogenetic reconstruction using amino acid and nucleotide characters,” Gene, vol. 366, no. 2, pp. 228–237, 2006.
View at: Publisher Site | Google Scholar
R. Lanfear, B. Calcott, S. Y. W. Ho, and S. Guindon, “PartitionFinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses,” Molecular Biology and Evolution, vol. 29, no. 6, pp. 1695–1701, 2012.
View at: Publisher Site | Google Scholar
H. Akaike, “Information theory and an extension of the maximum likelihood principle,” B. N. Petrov and C. F. Budapest, Eds., pp. 267–281, Akadimiai Kiado.
View at: Google Scholar
A. S. Tanabe, “Kakusan4 and Aminosan: two programs for comparing nonpartitioned, proportional, and separate models for combined molecular phylogenetic analyses of multilocus sequence data,” Molecular Ecology Resources, vol. 11, no. 5, pp. 914–921, 2011.
View at: Publisher Site | Google Scholar
A. Stamatakis, “RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies,” Bioinformatics, vol. 30, no. 9, pp. 1312-1313, 2014.
View at: Publisher Site | Google Scholar
F. Ronquist, M. Teslenko, P. van der Mark et al., “MRBAYES 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space,” Systematic Biology, vol. 61, no. 3, pp. 539–542, 2012.
View at: Publisher Site | Google Scholar
A. Rambaut and A. J. Drummond, 2009, Tracer v. 1.5 available from http://tree.bio.ed.ac.uk/software/tracer/.
R. Bouckaert, T. G. Vaughan, J. Barido-Sottani et al., “BEAST 2.5: an advanced software platform for Bayesian evolutionary analysis,” PLoS Computational Biology, vol. 15, no. 4, p. e1006650, 2019.
View at: Publisher Site | Google Scholar
G. U. Yule, “A mathematical theory of evolution, based on the conclusions of Dr. J. C. Willis, F.R.S,” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 213, no. 402-410, pp. 21–87, 1925.
View at: Publisher Site | Google Scholar
P. Li and J. Bousquet, “Relative rate test for nucleotide substitutions between two lineages,” Molecular Biology and Evolution, vol. 9, pp. 1185–1189, 1992.
View at: Google Scholar
R. M. Robinson and D. Huchon, “RRTree: relative–rate tests between groups of sequences on a phylogenetic tree,” Bioinformatics, vol. 16, no. 3, pp. 296-297, 2000.
View at: Publisher Site | Google Scholar
M. Kimura, “A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences,” Journal of Molecular Evolution, vol. 16, no. 2, pp. 111–120, 1980.
View at: Publisher Site | Google Scholar
Z. Yang, Computational molecular evolution, Oxford University Press, New York, 2006.
E. Buschiazzo, C. Ritland, J. Bohlmann, and K. Ritland, “Slow but not low: genomic comparisons reveal slower evolutionary rate and higher dN/dS in conifers compared to angiosperms,” BMC Evolutionary Biology, vol. 12, no. 1, p. 8, 2012.
View at: Publisher Site | Google Scholar
Z. Yang, “PAML: a program package for phylogenetic analysis by maximum likelihood,” Computer Applications in the Biosciences, vol. 13, no. 5, pp. 555-556, 1997.
View at: Publisher Site | Google Scholar
Z. Yang, “PAML 4: phylogenetic analysis by maximum likelihood,” Molecular Biology and Evolution, vol. 24, no. 8, pp. 1586–1591, 2007.
View at: Publisher Site | Google Scholar
M. K. Fujita, J. L. Boore, and C. Moritz, “Multiple origins and rapid evolution of duplicated mitochondrial genes in parthenogenetic geckos (Heteronotia binoei; Squamata, Gekkonidae),” Molecular Biology and Evolution, vol. 24, no. 12, pp. 2775–2786, 2007.
View at: Publisher Site | Google Scholar
E. Jemt, Ö. Persson, Y. Shi et al., “Regulation of DNA replication at the end of the mitochondrial D-loop involves the helicase TWINKLE and a conserved sequence element,” Nucleic Acids Research, vol. 43, no. 19, pp. 9262–9275, 2015.
View at: Publisher Site | Google Scholar
M. Mahmoud, M. Zywicki, T. Twardowski, and W. M. Karlowski, “Efficiency of PacBio long read correction by 2nd generation Illumina sequencing,” Genomics, vol. 111, no. 1, pp. 43–49, 2019.
View at: Publisher Site | Google Scholar
R. A. Pyron and J. J. Wiens, “A large-scale phylogeny of Amphibia including over 2800 species, and a revised classification of extant frogs, salamanders, and caecilians,” Molecular Phylogenetics and Evolution, vol. 61, no. 2, pp. 543–583, 2011.
View at: Publisher Site | Google Scholar
S. V. Nielsen, R. Savel, S. R. Daniels, W. Conradie, M. P. Heinicke, and B. P. Noonan, “Multilocus phylogenetics in a widespread African anuran lineage (Brevicipitidae: Breviceps) reveals patterns of diversity reflecting geoclimatic change,” Journal of Biogeography, vol. 45, no. 9, pp. 2067–2079, 2018.
View at: Publisher Site | Google Scholar
P. Zhang, H. Zhou, Y. Q. Chen, Y. F. Liu, and L. H. Qu, “Mitogenomic perspectives on the origin and phylogeny of living amphibians,” Systematic Biology, vol. 54, no. 3, pp. 391–400, 2005.
View at: Publisher Site | Google Scholar
D. S. Hwang and J. S. Lee, “Complete mitochondrial genome of the boreal digging frog Kaloula borealis (Anura, Microhylidae),” Mitochondrial DNA, vol. 23, no. 4, pp. 301-302, 2012.
View at: Publisher Site | Google Scholar
Y. G. Liu, T. Kurokawa, M. Sekino, T. Tanabe, and K. Watanabe, “Complete mitochondrial DNA sequence of the ark shell _Scapharca broughtonii_ : An ultra-large metazoan mitochondrial genome,” Comparative Biochemistry and Physiology Part D: Genomics and Proteomics, vol. 8, no. 1, pp. 72–81, 2013.
View at: Publisher Site | Google Scholar
J. L. Boore, T. M. Collins, D. Stanton, L. L. Daehler, and W. M. Brown, “Deducing the pattern of arthropod phytogeny from mitochondrial DNA rearrangements,” Nature, vol. 376, no. 6536, pp. 163–165, 1995.
View at: Publisher Site | Google Scholar
J. L. Boore and W. M. Brown, “Big trees from little genomes: mitochondrial gene order as a phylogenetic tool,” Current Opinion in Genetics and Development, vol. 8, no. 6, pp. 668–674, 1998.
View at: Publisher Site | Google Scholar
J. Y. Zhang, L.-P. Zhang, D.-N. Yu, K. B. Storey, and R.-Q. Zheng, “Complete mitochondrial genomes of Nanorana taihangnica and N. yunnanensis (Anura: Dicroglossidae) with novel gene arrangements and phylogenetic relationship of Dicroglossidae,” BMC Evolutionary Biology, vol. 18, no. 1, p. 26, 2018.
View at: Publisher Site | Google Scholar
C. Moritz and W. Brown, “Tandem duplications in animal mitochondrial DNAs: variation in incidence and gene content among lizards,” Proceedings of the National Academy of Sciences of the United States of America, vol. 84, no. 20, pp. 7183–7187, 1987.
View at: Publisher Site | Google Scholar
Y. Xia, Y. Zheng, R. W. Murphy, and X. Zeng, “Intraspecific rearrangement of mitochondrial genome suggests the prevalence of the tandem duplication-random loss (TDLR) mechanism in Quasipaa boulengeri,” BMC genomics, vol. 17, no. 1, p. 965, 2016.
View at: Publisher Site | Google Scholar
J.-Y. Li, C. Zeng, G.-Y. Yan, and L.-S. He, “Characterization of the mitochondrial genome of an ancient amphipod Halice sp. MT-2017 (Pardaliscidae) from 10,908 m in the Mariana Trench,” Scientific Reports, vol. 9, no. 1, p. 2610, 2019.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2020 Keitaro Hemmi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

937

Downloads

1220

Citations