Skip to main content
PeerJ logoLink to PeerJ
. 2019 Jun 20;7:e7031. doi: 10.7717/peerj.7031

The complete mitochondrial genome of Paragonimus ohirai (Paragonimidae: Trematoda: Platyhelminthes) and its comparison with P. westermani congeners and other trematodes

Thanh Hoa Le 1,2,, Khue Thi Nguyen 1, Nga Thi Bich Nguyen 1, Huong Thi Thanh Doan 1,2, Takeshi Agatsuma 3, David Blair 4
Editor: Jean-Lou Justine
PMCID: PMC6589331  PMID: 31259095

Abstract

We present the complete mitochondrial genome of Paragonimus ohirai Miyazaki, 1939 and compare its features with those of previously reported mitochondrial genomes of the pathogenic lung-fluke, Paragonimus westermani, and other members of the genus. The circular mitochondrial DNA molecule of the single fully sequenced individual of P. ohirai was 14,818 bp in length, containing 12 protein-coding, two ribosomal RNA and 22 transfer RNA genes. As is common among trematodes, an atp8 gene was absent from the mitogenome of P. ohirai and the 5′ end of nad4 overlapped with the 3′ end of nad4L by 40 bp. Paragonimusohirai and four forms/strains of P. westermani from South Korea and India, exhibited remarkably different base compositions and hence codon usage in protein-coding genes. In the fully sequenced P. ohirai individual, the non-coding region started with two long identical repeats (292 bp each), separated by tRNAGlu. These were followed by an array of six short tandem repeats (STR), 117 bp each. Numbers of the short tandem repeats varied among P. ohirai individuals. A phylogenetic tree inferred from concatenated mitochondrial protein sequences of 50 strains encompassing 42 species of trematodes belonging to 14 families identified a monophyletic Paragonimidae in the class Trematoda. Characterization of additional mitogenomes in the genus Paragonimus will be useful for biomedical studies and development of molecular tools and mitochondrial markers for diagnostic, identification, hybridization and phylogenetic/epidemiological/evolutionary studies.

Keywords: Paragonimus ohirai, Paragonimus westermani, Repeats, Skewness value, Phylogenetic analysis, Mitochondrial genome, Paragonimidae

Introduction

Paragonimiasis, a neglected disease caused by lung flukes of the genus Paragonimus (Paragonimidae: Trematoda: Platyhelminthes), is a health threat in many tropical and subtropical regions. About seven species in the genus are common pathogens of humans, who usually acquire infection by eating undercooked or raw freshwater crabs or crayfish containing encysted metacercariae. Infection may also occur by eating raw meat of mammalian paratenic hosts (Yoshida et al., 2016).

The genus Paragonimus includes several species complexes. The best known is the P. westermani complex, members of which can infect people mainly in Japan, Korea, China and The Philippines. However, the geographical range of this complex encompasses much of eastern and southern Asia (Blair et al., 2016). The P. ohirai complex, which is phylogenetically distinct from the well-known P. westermani complex (Blair et al., 2016), also occurs in southern and eastern Asia. Paragonimus ohirai (Miyazaki, 1939) itself is primarily coastal in distribution, using fresh- and brackish-water crabs as intermediate hosts, and matures in a range of rodents and other small mammals. It is known from Japan, Taiwan, Korea and mainland China with very occasional human infections reported (Miyazaki, 1991; Habe & Agatsuma T. Hirai, 1985; Agatsuma & Habe, 1986; Agatsuma et al., 1992; Ryu et al., 2000; Sugiyama et al., 2004; Blair, 2008; Blair, 2014). No mitochondrial genome (mitogenome) is available yet for any member of the P. ohirai complex. To date, studies on P. ohirai have mainly focused on morphological, physiological, immunological and protein identification/characterization (Habe & Agatsuma T. Hirai, 1985; Agatsuma et al., 1992; Fujino et al., 1996; Ikeda, Oikawa & Nishiyama, 1996; Ikeda, 2002; Ikeda, 2006). There have been relatively few studies on molecular recognition/variation and discrimination between this species and other members of Paragonimus (Agatsuma & Habe, 1986; Van Herwerden, Blair & Agatsuma, 1999a; Van Herwerden, Blair & Agatsuma, 1999b; Ryu et al., 2000; Blair, Agatsuma & Watanobe, 1997; Blair, Xu & Agatsuma, 1999; Blair et al., 2016).

Genomic information from mitogenomes of animals can be utilized for taxonomic identification, phylogenetic and population studies (Boore, 1999; Hardman & Hardman, 2006; Bernt et al., 2013; Wey-Fabrizius et al., 2013; Solà et al., 2015). A typical trematode mitogenome is a circular DNA molecule consisting of 12 protein-coding, 22 transfer RNA (tRNA) and two ribosomal RNA genes. Gene order tends to be highly conserved within the Order Plagiorchiida (that contains most trematodes, including paragonimids), but variable features, mainly repeats, do occur in the long non-coding regions of these genomes (Wey-Fabrizius et al., 2013; Le, Blair & McManus, 2002; Le et al., 2016). Currently, about 50 complete or near-complete mitogenomes are available from trematodes (Table S1). Many important families are not yet represented at all (Wey-Fabrizius et al., 2013), while other families, such as the Paragonimidae, are represented by data for only a few species. GenBank lists four mitogenomes for P. westermani of different ploidies and/or geographical origins. Coding regions are complete for all of these, but not all include the full non-coding region. Two of these mitogenomes are from eastern Asia, both from South Korea, a diploid (GenBank: AF540958, incomplete non-coding region) and a triploid (AF219379). Another two P. westermani mitogenomes available in Genbank, KM280646 (incomplete non-coding region) and KX943544, are from Northeast India.

Here, we provide genomic information from the complete mitochondrial genome for Paragonimus ohirai, determining the gene content, arrangement and composition, to compare features of this genome with those of the four available mitogenomes from P. westermani and of other members of the genus. We also assess the value of mitogenomes for resolution of the relationships between the trematode species.

Materials and Methods

Source of samples

The P. ohirai samples used in this study were from batches of stored adult specimens, raised in rats experimentally infected with metacercariae collected from the crab hosts (Habe & Agatsuma T. Hirai, 1985). These batches of specimens have been used in many previous studies on morphology, isoenzyme profiles, molecular characterization of this species and molecular taxonomy of Paragonimus spp. (e.g., Habe & Agatsuma Hirai, 1985; Agatsuma & Habe, 1986; Agatsuma et al., 1992; Sugiyama et al., 2004; Miyazaki, 1991, Van Herwerden, Blair & Agatsuma, 1999a; Van Herwerden, Blair & Agatsuma, 1999b; Fujino et al., 1996). Metacercariae from crabs and adults obtained from infected rats were morphologically consistent with P. ohirai as described by Miyazaki (1991); Miyazaki (1939) and Sugiyama et al. (2004). In all cases, the metacercariae collected from the crab hosts were spherical with a thin outer (O) and a thicker inner (I) cyst wall (Habe & Agatsuma T. Hirai, 1985; Sugiyama et al., 2004). Adult worms were around 7 mm long and 3 mm wide. The ventral sucker was larger than the oral sucker; the ovary was smaller than the testes and intricately branched; cuticular spines formed distinct comb-like groups (Sugiyama et al., 2004). These morphological features permit discrimination of P. ohirai from all other Paragonimus species (Tomimura, Arakawa & Ono, 1957; Tada, Nagano & Sato, 1969; Habe & Agatsuma T. Hirai, 1985; Sugiyama et al., 2004).

Briefly, albino rats, Rattus norvegicus, were infected with metacercariae from natural crab hosts (Sesarma dehaani, recently renamed as Chiromantes dehaani) (Sugiyama et al., 2004). Crabs were collected at Kinosaki (Hyogo, 35°37′0″N; 134°49′0″E) and Nagoya (35°10′0″N, 136° 55′0″E) Prefectures in Japan. Five- to eight-week-old male rats were orally infected with metacercariae using a stomach tube. Rats were kept in separate cages and fed a commercial diet. Adult worms were collected two months post-infection. The infected rats were bled to death under ether anesthesia (Habe & Agatsuma T. Hirai, 1985; Agatsuma & Habe, 1986).

Genomic DNA extraction

Following morphological identification, worms were preserved in 70% ethanol. Three adult worms derived from Kinosaki Prefecture and three from Nagoya Prefecture, were individually used for genomic extraction. The mitogenome of one specimen from Kinosaki was completely sequenced, remaining specimens were used to investigate variation in structure of the non-coding region.

Total genomic DNA was extracted from individual specimens using the GeneJET™ Genomic DNA Purification Kit (Thermo Fisher Scientific Inc., Waltham, MA, USA) according to the manufacturer’s instructions. Genomic DNA was eluted in 50 µL of the elution buffer provided in the kit and stored at −20 °C until use. The concentration of DNA was estimated using a GBC UV/visible 911A spectrophotometer (GBC Scientific Equipment Pty. Ltd., Braeside, Australia). A working concentration of 50 ng/µL was prepared and 1 µL of this was used as template for short PCRs and 2 µL for long PCRs, in a 50 µL reaction volume.

Molecular identification of specimens

A molecular approach was also used to confirm the identity of our specimens as P. ohirai. Partial sequences of the cox1 gene were obtained from PCR products amplified using the primer pairs JB3F/JB4.5R (Table 1). A tree was inferred from an alignment of 224cox1 nucleotide sequences (309 bp) of 19 Paragonimus species available in GenBank and in previous publications. Phylogenetic reconstruction was performed using maximum-likelihood analysis (ML) with the Tamura-Nei model in the MEGA 7 package (Kumar, Stecher & Tamura, 2016). This model had the best Bayesian information criterion value, as determined using MEGA. Bootstrap support for each node was evaluated using 100 bootstrap resamplings. The tree inferred showed all P. ohirai sequences together in one group with those of the closely related Japanese P. iloktsuenensis (Fig. S1). Paragonimus iloktsuenensis and P. sadoensis have been regarded as synonyms of P. ohirai (Blair, Agatsuma & Watanobe, 1997).

Table 1. Primers for amplification and sequencing of the mitochondrial genome of Paragonimus ohirai.

Primer Sequence (5′->3′) Location
URNLFa AGCCAGGTTGGTTCTTATCTAT rrnL
URNSRa TACCWTGTTACGACTTAHCWCA rrnS
TRECOBFa CAGATGTCYTATTGGGCTGC cob
TRECOBRa GAACHRVCCACARYCCCTTAAAC cob
JB3Fa TTTTTTGGGCATCCTGAGGTTTAT cox1
JB4.5Ra TAAAGAAAGAACATAATGAAAATG cox1
PO1R ACATAGCCACTAACACAGCAC nad2
PO2F TGGTTCGGGTGTTTTCTGCG cob
PO3R CCCACTCAAAACGAAACCTAAG atp6
PO4F CGGTGAGGGTTCCTCTGTTG tRNAAla
PO5F GTCTCACAATCCCAAATCCTGG cox1
PO6F GTTTGGGAAGTGTTGTCTGGG cox1
PO7F TCCTTTTAGGGGAGTAAAGGCC cob
PO8R GCACAACCGCAACAAAGACC atp6
PO9R AGCAGCCCAATCAGAGTTACC rrnS
PO10F CTGCACCAAATCCGAACGCC nad3
PO11F CTTATGGAACTGCAGCACTTC cox2
PO12R CGTACCCAACAAACATAAACC nad5
PO13F AATTTTTCGTGTTAGAGGGAG tRNAGlu
PO14R GAAGATAACGAATTAGCCAAAC cob
PO15F GTGGGTACTTGTATTCTGTG nad6
PO16R GTCAAAACACAAAACAAACAC nad5
PO17R CGCCGTAATTGAAGAACC cox3
PO18F GGTGTAGAAGGGTTGCAC tRNAGlu
PO19F GGCACTTTTTAAGGCTGGTGG nad5
PO20R ACCTCAGATTGGAAGGAAAGCAC NR
PHOR GTTACCAAAGGATCCGCCTGC cob
PHOWR CGGTATGTACCCCAACTAAATC rrnS
POHF ATGATTTGCAGGAGATTTCGGAC rrnS
PHOGLUR CCTCTAACACGAAAAATTAAC tRNAGlu
GLYFa AGTATKYYGTCTTTCCAAGTC tRNAGly
GLYRa ACKAGACCHCYGACTTGGAAAGAC tRNAGly

Notes.

a

Platyhelminth-universal primers used for inital amplification of the corresponding genes/regions to get sequences to design further primers.

Amplification of the mitochondrial genome

The complete mitogenome was sequenced from one specimen from Kinosaki Prefecture. Initially, platyhelminth-universal primers (URNLF/URNSR for the 16S rRNA–12S rRNA, TRECOBF/TRECOBR for cytochrome b (cob) and JB3F/JB4.5R for the cox1 region), were used for amplification and subsequent sequencing of the corresponding genes/regions (Le, Blair & McManus, 2002; Le et al., 2016). The sequence data obtained were used to design further specific P. ohirai primers (Table 1).

Some specific primers in nad5 or cob regions were used with the GLYF or GLYR platyhelminth-universal primers in long-PCRs. Long PCR was used to obtain medium-length and long fragments (5–8 kb) of overlapping regionsand conventional PCRs were used to amplify the rest of the mitogenome. All long-PCRs were prepared using AccuPower® ProFi Taq PCR PreMixKit (Bioneer, Daejeon, South Korea) and short PCRs using Thermo Scientific DreamTaq PCR Master Kit (Thermo Fisher Scientific Inc., Waltham, MA, USA). All PCRs of 50 µL volume were performed in a MJ PTC-100 thermal cycler with initial denaturation at 95 °C for 5 min, followed by 35 cycles, each consisting of denaturation step for 30 s at 94 °C, annealing at 56 °C for 30 s, extension at 68 °C (in some cases, at 72 °C) for 3 to 10 min, depending on the lengths of the expected amplicons; and a final extension at 68 °C (or 72 °C for some reactions) for 7 or 10 min. A negative (no-DNA) control was included in some cases. The PCR products (5–10 µL of each) were examined on a 1% agarose gel, stained with ethidium bromide, and visualized under UV light (Wealtec, Sparks, NV, USA).

Sequencing, assembling and annotation of the mitogenome

PCR products were purified using a GeneJET Gel Extraction and DNA Cleanup Micro Kit (Thermo Scientific Inc.). In some cases, PCR products were cloned using a CloneJET PCR Cloning Kit (if <2 kb) or a TOPO® XL PCR Cloning Kit (Invitrogen Inc., Carlsbad, CA, USA) (if >2 kb). Plasmid DNA was extracted using a GeneJET Plasmid Miniprep Kit (Thermo Scientific, Inc.). A primer-walking approach to sequencing was used. PCR fragments and/or recombinant plasmid DNA were sequenced on automated sequencers using specific or M13 universal sequencing primers, respectively (Macrogen Inc., Seoul, South Korea). Both strands were completely sequenced and at least six sequences (three from each strand) were aligned to obtain the final sequence for characterization.

To explore size variation in the non-coding region (NR), we used forward primer GLYF (binding in tRNAGly) and reverse primer PO17R (located in the cox3 gene) (Table 1), spanning the full NR, for amplification and sequencing of this region from three additional P. ohirai individuals each from Kinosaki and from Nagoya.

Raw and edited sequences (edited using SeqEd v.1.3) were assembled and aligned using AssemblyLIGNv 1.9c and analyzed using the MacVector 8.2 package (Accelrys Inc.). Preliminary identity of a sequence or a region was assigned by searching the GenBank database (https://blast.ncbi.nlm.nih.gov/) using Basic-BLAST or two-sequence-BLAST, or by comparison with the corresponding platyhelminth sequences earlier obtained by us (Le, Blair & McManus, 2002; Le et al., 2016). Repeat sequences were detected in the long non-coding region (LNR) using the Tandem Repeats Finder v3.01 (Benson, 1999).

To confirm the length and to determine the composition and codon usage of each gene, comparisons of nucleotide and amino acid sequences of individual genes were done using MacVector 8.2 (Accelrys Inc.). The echinoderm/flatworm mitochondrial genetic code (translation table 9) was used in all programs for sequence analysis of mitogenomes of trematodes, including P. ohirai. Protein-coding genes were identified by the sequence similarities of translated amino acid sequences from their open reading frames to those already available in the GenBank database. Initiation codons other than ATG (specifically GTG) were considered. Codon usage and nucleotide composition were analyzed using MEGA 7 (Kumar, Stecher & Tamura, 2016). Codon usage for all the protein-coding genes was determined with the online program GENE INFINITY (Codon Usage: http://www.geneinfinity.org/sms/sms_codonusage.html). TreePuzzle v5.3 (Schmidt et al., 2002) was used to confirm (chi-square tests) that the amino-acid composition of each species did not significantly different from the average over the entire alignment (thus potentially biasing phylogenetic inference).

The transfer RNA genes (tRNA were identified using online software, primarily tRNAscan-SE v1.21 (Lowe & Eddy, 1997) with parameters specified for mitochondrial/chloroplast DNA. Three other separate software packages were also used online; ARWEN v 1.2 (Laslett & Canback, 2008); DOGMA (Wyman, Jansen & Boore, 2004) and MITOS Alpha version (Bernt et al., 2013). Final sequences and secondary structures were based on comparisons using all these programs. All transfer RNAs proposed by these programs were checked to confirm their typical “clover-leaf” structure or known variants of this. Any tRNAs not detected by these programs were found by inspection of the sequences, based on the alignment with other trematode tRNA sequences, to form tRNA structures.

Skew values (ranging from −1 to +1) were according to the formula defined by Perna & Kocher (1995) as: AT skew = (A − T)/(A + T) and GC skew = (G − C)/(G + C), where the letters stand for the usage of the corresponding nucleotides in the sequences (see also Solà et al., 2015).

Phylogenetic reconstruction

Concatenated aligned sequences of 12 mitochondrial protein-coding genes from 50 strains/species of 14 families of trematodes listed in Table S1 were used in a phylogenetic analysis. In addition to P. ohirai (Kinosaki strain, Japan), the four available P. westermani sequences (two from South Korea and two from India) were included. Also included were two mitogenomes of P. heterotremus (accession numbers MH059809 and KY952166) and one of P. kellicotti (MH322000). Protein-coding nucleotide sequences were conceptually translated and the amino acid sequences for each gene were aligned separately using MAFFT (available at https://www.ebi.ac.uk/Tools/msa/mafft/) (Katoh & Standley, 2013). Subsequently, the alignments of all 12 genes were concatenated (final alignment length 3,660 amino acids) for phylogenetic analysis. The inferred amino acid sequences of individual species ranged in length from 3,314 amino acids (Orientobilharzia turkestanicum (GenBank: HQ283100; Schistosomatidae)) to 3,405 amino acids (Metagonimus yokogawai (GenBank: KC330755; Heterophyidae)). Most sequences ranged from 3,351 to 3,361 amino acids. Prior to phylogenetic analysis, regions of questionable alignment quality were removed using GBlocks (Castresana, 2000). This reduced the number of positions to 2,509 amino-acid residues.

Phylogenetic reconstruction was performed in MrBayes 3.2 program (Ronquist et al., 2012). The amino-acid model prior was set to “mixed”. This setting allows the program to infer the best fitting (from ten options) amino-acid substitution model. Two runs, each of four chains, were run for 1,000,000 generations, after which the standard deviation of split frequencies across runs was <0.01. Trees were sampled every 500 generations, and the first 25% discarded as burnin. The Jones, Taylor and Thornton model (Jones, Taylor & Thornton, 1992) was the only amino-acid model supported in the analysis (posterior probability 1.000 and standard deviation 0.000). The tree produced was a 50% majority-rule tree to which all compatible groupings were added. The tree was rooted by outgroup (i.e., members of the Schistosomatidae), a family known to be near the base of the trematode phylogeny in Olson et al. (2003).

Results and Discussion

Gene organization, content and genomic features

The entire mitochondrial genome sequence obtained from the single fully sequenced P. ohirai adult (designated as Pohi-Kinosaki-JP) was deposited in GenBank with the accession number KX765277. This mtDNA was a circular molecule of 14,818 bp (Fig. 1). Locations of genes and other features in this genome are given in Table 2. This is within the length range commonly reported in trematodes, including P. westermani (Paragonimidae), Echinochasmus japonicus (Echinochasmidae), Haplorchis taichui (Heterophyidae), Homalogaster paloniae (Gastrodiscidae), Dicrocoelium spp. (Dicrocoeliidae) (Le, Blair & McManus, 2002; Le et al., 2016; Lee et al., 2013; Liu et al., 2014a; Brabec et al., 2015; Ma et al., 2016a; Yang et al., 2016a), but slightly shorter than in some schistosomes such as Schistosoma spindale (Schistosomatidae) and longer than in opisthorchiids, fasciolids and paramphistomids such as Clonorchis sinensis, Opisthorchis viverrini, Fasciola hepatica, F. gigantica and Paramphistomum spp. (Paramphistomidae) (Le, Blair & McManus, 2001a; Littlewood et al., 2006; Shekhovtsov et al., 2010; Cai et al., 2012; Liu et al., 2014b; Ma et al., 2015; Na et al., 2016). The mitochondrial genome of P. ohirai contained 36 genes: 12 protein-encoding genes, two ribosomal RNA genes and 22 transfer RNA genes (Table 2; Fig. 1). Genes abutted one another or were separated by a short intergenic sequence (Table 2; Fig. S2). The genomic organization of the coding portion in P. ohirai was identical with that in four available P. westermani mitogenomes and those of P. heterotremus and P. kellicotti, and similar to that of other trematodes including Clonorchis sinensis (Shekhovtsov et al., 2010), Opisthorchis viverrini (Cai et al., 2012), Fasciola hepatica (Le, Blair & McManus, 2001a), Fasciola gigantica (Liu et al., 2014b) and Paramphistomum leydeni (Ma et al., 2015), but different from some species of Schistosomatidae (Littlewood et al., 2006; Le et al., 2001b; ; Webster et al., 2007). An extensive non-coding region (NR) was found between tRNAGly and cox3. The NR was divided into two subregions, separated by tRNAGlu.

Figure 1. A circular map of the mitochondrial genome of the lung fluke Paragonimus ohirai (KX765277).

Figure 1

Protein-coding and ribosomal large and small subunit genes are abbreviated according to Boore (1999) with slight modification by Le, Blair & McManus (2002). Genes are transcribed in a clockwise direction from one strand. The transfer RNA genes (tRNA) are designated by the single-letter code for the corresponding amino acid abbreviations, with the exception of those coding for Serine (tRNASer1(AGN) and tRNASer2(UCN)) (Table 2). The long non-coding region consists of two long repeats (LR1 and LR2) separated by tRNAGlu, and followed by six short tandem repeats (STR). A unique sequence is between the last STR6 and cox3.

Table 2. Locations of genes and other features in the mitochondrial genome of Paragonimus ohirai (14,818 bp).

Gene Position(5′>3′) Length Codon tRNAanti-codon Identification of tRNA by Int. seq.length (bp)
bp aa start stop
cox3 1–645 645 214 ATG TAG +3
tRNAHis 649–717 69 GTG AR, SE, DO 0
cob 718–1,836 1,119 372 ATG TAG +5
nad4L 1,842–2,105 264 87 ATG TAG −40
nad4 2,066–3,325 1,260 419 ATG TAG +11
tRNAGln 3,337–3,398 62 TTG AR +6
tRNAPhe 3,405–3,470 66 GAA AR, SE, DO 0
tRNAMet 3,471–3,535 65 CAT AR, SE, DO 0
atp6 3,536–4,051 516 171 ATG TAG +2
nad2 4,054–4,920 867 288 ATG TAG +7
tRNAVal 4,928–4,991 64 TAC AR, SE, DO +2
tRNAAla 4,994–5,059 66 TGC AR, SE, DO +6
tRNAAsp 5,066–5,132 67 GTC AR, SE, DO 0
nad1 5,133–6,038 906 301 ATG TAG +11
tRNAAsn 6,049–6,119 70 GTT AR, SE, DO −2
tRNAPro 6,118–6,184 67 TGG +7
ttRNAIle 6,192–6,254 63 GAT +11
tRNALys 6,266–6,329 64 CTT AR, SE, DO 0
nad3 6,330–6,686 357 118 ATG TAG +7
tRNASer1(AGN)a 6,694–6,755 62 GCT AR +7
tRNATrp 6,763–6,827 65 TCA AR, SE, DO +3
cox1 6,831–8,363 1,533 510 ATG TAG −1
tRNAThr 8,363–8,428 66 TGT AR, SE, DO 0
16S RNA 8,429–9,402 974 0
tRNACys 9,403–9,468 66 GCA AR, DO 0
12S RNA 9,469–10,204 736 0
cox2 10,205–10,804 600 199 ATG TAG −1
nad6 10,804–11,256 453 150 GTG TAG +3
tRNATyr 11,260–1,1,320 61 GTA AR, DO +11
tRNALeu1(CUN) 11,332–11,396 65 TAG AR, DO −3
tRNASer1(UCN)a 11,394–11,457 64 TGA AR +18
tRNALeu2(UUR) 11,476–11,538 63 TAA AR, SE, DO +11
tRNAArg 11,540–11,618 69 TCG AR, DO 0
nad5 11,619–13,202 1,584 527 GTG TAA +10
tRNAGly 13,213–13,284 72 TCC AR, SE, DO +28
LR1 13,313–13,604 292 +8
tRNAGlu 13,613–13,681 69 TTC SE, DO −29
LR2 13,653–13,944 292 +15
STR1 13,960–14,076 117 0
STR2 14,077–14,193 117 0
STR3 14,194–14,310 117 0
STR4 14,311–14,426 117 0
STR5 14,427–14,544 117 0
STR6 14,545–14,661 117 0
unique seq 14,662–14,818 157 0

Notes.

bp
basepair
aa
amino acid
Int. seq.
intergenic sequence

(+, number of nucleotides before start of the following gene; −, number of nucleotides overlapping with the following gene or other feature); LR, Long repeat; STR, short tandem repeat. Transfer RNAs (tRNA) found by software used in this study (SE] tRNAscan-SE 1.21 (Lowe & Eddy, 1997) AR, ARWEN Alpha version (Laslett & Canback, 2008); DO, DOGMA (Wyman, Jansen & Boore, 2004) with slight amendment own by our own determination.

a

Indicating tRNAs lacking DHU-arm.

Characteristics of protein-coding genes in Paragonimus species

In the P. ohirai mitogenome, ten protein-coding genes used ATG as the start codon and TAG as the stop codon and the remaining two genes were initiated with GTG and terminated with TAG and TAA codons (Table 2). Cox1 and cox2 genes were terminated by an incomplete TA- codon, which was presumably completed by the adjacent nucleotide, G (at the start of tRNAThr andnad6, respectively). Translations in all the remaining protein-coding genes were consistent with translation Table 9. Unusual initiation codons, such as ATA or ATT, reported from some metazoans, and TTG or GTT, reported from nematodes, were not found to initiate genes in P. ohirai (Table 2).

Base composition in protein-coding genes is very different between P. ohirai and the four mitogenomes of P. westermani (Table 3). In the former species, frequency of A is 17.00% (13.33–14.89% in P. westermani) and of T is 46.00% (38.21–40.50% in P. westermani). For both these bases, but particularly T, the base composition in P. ohirai is far closer to that typical of the other trematodes we included than that of P. westermani (Le, Blair & McManus, 2004) (Table 3). The G+C value in P. ohirai is lower than in the available P. westermani mitogenomes (Table 3), but closer to that in other trematodes (Le, Blair & McManus, 2004). In all the Paragonimus mitogenomes (as in trematodes generally), there is a strong AT skew: (−0.46 to −0.48). In P. ohirai, the preponderance of G over C is more marked (GC-skew 0.41) than in P. westermani (GC skew: 0.26 to 0.32) (Table 3), and closer to that seen in parasitic flatworms overall (Le, Blair & McManus, 2004). Base composition statistics for P. heterotremus and P. kellicotti, were intermediate between those for P. ohirai and P. westermani. All 64 codons in the mitochondrial genetic code table were used in the mtDNA protein-coding genes in P. ohirai (Table S1). There are 3,356 codons (excluding stop codons) in mitogenomes of P. ohirai and Indian P. westermani Type I (GenBank: KM280646), 3,355 codons in both Korean diploid and triploid P. westermani from East Asia and P. heterotremus and 3,354 in P. kellicotti. The remaining Indian P. westermani (from Arunachal Pradesh, KX943544) uses 3,368 codons (Table S1). An insertion of 45 nucleotides (15 amino acids) relative to other Paragonimus mitogenomes (and indeed all other trematodes) was found in the cytochrome b gene of this mitogenome. It remains to be determined whether this is a true feature unique to this Indian strain or whether it is due to mis-assembly. This region was omitted from phylogenetic analyses.

Table 3. Base composition and related statistics (skewness evaluation) for protein-coding genes and ribosomal regions of the mtDNA ofParagonimus ohiraiand otherParagonimusspecies, and means and standard deviations of base composition of all species included in the study.

Sequence Length(nt)* A T G C A+T AT-skew G+C GC-skew
Protein-coding Pohi-Kinosaki-JP 10,104 17.00 46.00 26.17 10.83 63.00 −0.46 37.00 0.41
Pwes(2n)-Haenam-KR 10,101 13.40 38.21 30.61 17.77 51.61 −0.48 48.39 0.26
Pwes(3n)-Bogil-KR 10,101 13.33 38.25 30.61 17.81 51.58 −0.48 48.42 0.26
Pwes-TypeI-IN 10,104 14.89 40.50 29.36 15.25 55.39 −0.46 44.61 0.32
Pwes-AP-IN 10,140 14.72 40.40 29.58 15.30 55.12 −0.46 44.88 0.32
Phet_China 10,101 14.93 43.91 28.18 12.98 58.84 −0.49 41.16 0.37
Pkell 10,098 15.19 44.78 27.73 12.30 59.97 −0.49 40.30 0.38
Mean, all included species 17.58 46.04 25.91 10.41 63.64 −0.45 36.38 0.43
S.D. all included species 3.5 2.86 2.85 2.49 4.93 0.07 4.91 0.07
Ribosomal RNA coding Pohi-Kinosaki-JP 1,710 22.92 37.19 26.90 12.98 60.01 −0.23 39.99 0.35
Pwes(2n)-Haenam-KR 1,732 19.11 32.62 31.12 17.15 51.73 −0.26 48.27 0.29
Pwes(3n)-Bogil-KR 1,732 18.94 32.79 31.29 16.97 51.73 −0.27 48.27 0.30
Pwes-TypeI-IN 1,729 20.24 35.11 29.84 14.81 55.35 −0.27 44.65 0.34
Pwes-AP-IN 1,721 20.22 34.63 30.16 14.99 54.85 −0.26 45.15 0.34
Phet China 1,711 20.81 37.05 28.23 13.91 57.86 −0.28 42.14 0.34
Pkell 1,711 21.33 37.52 27.47 13.68 58.85 −0.28 41.15 0.33

Notes.

Pohi
Paragonimus ohirai
Pwes
P. westermani
Phet
P. heterotremus
Pkell
P. kellicotti.
JP
Japan
KR
South Korea
IN
India.
Kinosaki
Kinosaki locality, Japan
AP
Arunachal Pradesh locality, India (see Table S1)

High A and T nucleotide use (17.00% and 46.00%) in P. ohirai is bolded. S.D. standard deviation nt nucleotide.

a

The overlap between nad4L and nad4 is counted twice in this calculation.

Codon usage indicated that codons containing T and/or A are far more common in P. ohirai and those containing C and/or G are less frequent than in P. westermani (Table S1). For example, for phenylalanine (Phe), the TTT codon is much more frequently used in P. ohirai (325 codons/9.65%) than in diploid and triploid P. westermani (208/6.18–6.19%), P. westermani type I (255/7.57%) and P. westermani AP (253/7.49%). Similar differences in frequencies are noted for the ATT codon for isoleucine (Ile), TTA for leucine (Leu), TCT for serine (Ser), and TAT for tyrosine (Tyr) (Table S1). These differences in base composition greatly influence the skew value calculation (Table 3).

Ribosomal and transfer RNA genes

The mitochondrial large and small ribosomal subunit RNA genes (16S rRNA and 12S rRNA, respectively) were located between the tRNAThr andthe cox2 genes and were separated from each other by tRNACys, as in all platyhelminths reported to date (Le, Blair & McManus, 2002; Le et al., 2016; Liu et al., 2014a; Ma et al., 2016a; Ma et al., 2016b); 2017; (Shekhovtsov et al., 2010; Na et al., 2016; Biswal et al., 2014; Chen et al., 2016). The lengths of 16S rRNA and 12S rRNA, in the mitogenome of P. ohirai, were 974 bp and 736 bp, respectively (Table 2). As in the protein-coding genes, usage of T was high relative to A and usage of C was low relative to G in ribosomal genes. Similarly, the AT-skew was comparable for this region of all Paragonimus mitogenomes (−0.23 to −0.26) but the GC-skew was slightly higher in P. ohirai (0.35) than in P. westermani (0.29–0.34) (Table 3).

Twenty-two transfer RNAs were identified, ranging in size from 61 nucleotides (for tRNATyr) to 72 (for tRNAGly): most are within the range 64–67 nucleotides (Table 2). All anticodon usage is consistent with those described for other platyhelminth species. Twenty of the tRNAs can be folded into typical ‘cloverleaf’ secondary structures. The remaining two tRNAs for serine, tRNASer1(AGN) (62 bp) and tRNASer2(UCN) (64 bp), contain the full T ΨC arm but not the dihydrouridine (DHU) arm (instead, it is replaced by a loop of ten nucleotides for the former and 13 for the latter) (Fig. 2). A DHU arm-lacking form for the former transfer RNA is usual in metazoans and is usual for the latter tRNA in platyhelminths and occurs in some other animal taxa, especially nematodes (Boore, 1999; Le, Blair & McManus, 2001a; Le, Blair & McManus, 2002; Le et al., 2016; Lee et al., 2013; Brabec et al., 2015; Ma et al., 2016a; Yang et al., 2016a; Littlewood et al., 2006; Wolstenholme, 1992). In P. ohirai, the tRNAThr gene uses the last nucleotide G of the protein-coding cox1 gene termination codon; tRNAPro overlaps tRNAAsn by 2 nucleotides; and tRNALeu1(CUN) overlaps tRNASer2(UCN)by 3 nucleotides in their sequences (Table 2). tRNAGly is located downstream of nad5 and tRNAGlu is located in the non-coding region, separating this region into two parts (Table 2). The same arrangement is seen in other Paragonimus species, Fasciolopsis buski, Fascioloides magna and Echinochasmus japonicus, but these two tRNA genes have exchanged positions in opisthorchiids (Opisthorchis felineus, O. viverrini and Clonorchis sinensis) and some fasciolids (Fasciola gigantica, F. hepatica) (Le et al., 2016; Ma et al., 2015; Ma et al., 2016a; Ma et al., 2017; Shekhovtsov et al., 2010; Cai et al., 2012; Liu et al., 2014b).

Figure 2. Drawings of predicted structure models of 22 transfer RNAs in the mitochondrial genome of Paragonimus ohirai, arranged in alphabetical order of the amino acids they specify.

Figure 2

Each tRNA (here abbreviated as trn) gene is named according to the one-letter amino acid abbreviation, with the exception of those specifying Serine, S1 and S2; and Leucine, L1 and L2 (L1, CUN; L2, UUR; S1, AGN; and S2, UCN); DHU arms are missing in tRNASer1(AGN) and in tRNASer2(UCN). A: trnA (Alanine); B: trnR (Arginine); C: trnN (Asparagine); D: trnD (Aspartic acid); E: trnC (Cystine); F: trnE (Glutamic acid); G: trnQ (Glutamine); H: trnG (Glycine); I: trnH (Histidine); J: trnI (Isoleucine); K: trnL1(CUN) (Leucine); L: trnL2(UUR) (Leucine); M: trnK (Lysine); N: trnM (Methionine); O: trnF (Phenylalanine); P: trnP (Proline); Q: trnS1(AGN) (Serine); R: trnS2(UCN) (Serine); S: trnT (Threonine); T: trnW (Tryptophan); U: trnY (Tyrosine); V: trnV (Valine). Names of structural components of a tRNA gene are indicated in the tRNAVal structure.

Polymorphism in non-coding regions feature long and short repeats

The major non-coding region (NR) in P. ohirai from Kinosaki is 1,465 bp in length and divided into two parts: the short NR (SNR, 328 nucleotides) bounded by tRNAGly and tRNAGlu, and the long NR (LNR, 1,137 nucleotides) between tRNAGlu and cox3. There are two long identical repeats (LR1 and LR2, 292 bp each) and six short, identical, tandem repeats (STR1–6) each of 117 bp, in the fully sequenced individual (Pohi-Kinosaki-JP) (Table 2; see GenBank: KX765277). LR1 is located within the SNR while the LR2 overlaps the 3′  end of tRNAGluby 29 bp at the start of the long non-coding region. STR1–6 immediately follow and a 157-nucleotide unique sequence region occurs between STR6 and cox3 (Table 2; Fig. S2).

We amplified and sequenced this non-coding region from additional specimens from Kinosaki and Nagoya (Fig. S3) (GenBank: KX765277; MF510407; MG214475MG214478). In most cases, their NRs were identical in structure and sequence to that in the fully sequenced specimen from Kinosaki (Pohi-Kinosaki-JP). However, in one individual from Nagoya, this region was 2,602 bp long, 1,404 bp longer than that of the Pohi-Kinosaki-JP sample. This individual from Nagoya (GenBank: MF510407) possessed 18 identical 117-bp STRs, 12 more than in the Pohi-Kinosaki-JP individual (Fig. S3).

Length variability in non-coding regions in most trematodes, including P. ohirai, is mainly due to different numbers of repeats, which are common features of this region. This polymorphism, seen also in P. westermani, Echinochasmus japonicus, Schistosoma spp. and other trematodes, contributes to a high level of mitochondrial inter-individual and inter-species variation (Blair et al., 2016; Bernt et al., 2013; Le, Blair & McManus, 2001a; Le, Blair & McManus, 2002; Le, Blair & McManus, 2004; Zarowiecki, Huyse & Littlewood, 2007; Le et al., 2016; Oey et al., 2019).

Some caution is required when comparing lengths and structures of non-coding regions from published sources. The long NRs are often not fully represented in mitogenomes in GenBank, despite statements to the contrary. This means that reported lengths of mitogenomes may be very different from actual lengths. When common next-generation sequencing (NGS) methods are used, the presence of multiple and long repeats causes assembly difficulties (Oey et al., 2019). PacBio long-reads were used to establish the structure of the NR in the mitogenome of an Indian P. westermani (Oey et al., 2019). This genome was 20.3 kb in length, with 6.3–6.9 kb of repetitive NR region containing three distinct types of repeats of lengths ranging between 229 and 406 bp. Oey et al., 2019 found evidence of length variation, that might occur at the intra-individual level. In BLAST searches, the closest match was with an Indian P. westermani Type 1 mitogenome (KM280646: 14,103 bp) that had been assembled from short SOLiD reads. Despite high sequence similarity elsewhere in these two genomes, there was only partial similarity with the repeat motifs.

A further two mitogenomes of Paragonimus species have been published recently. These are of P. kellicotti (13,927 bp by Wang et al. (2018) and P. heterotremus (13,927 bp by Qian et al. (2018). Both were assembled from short-read NGS data: the NR may therefore not be complete. In the NR of P. kellicotti, there are three copies (complete or nearly so) of a 111 bp region. In the published genome (MH322000) these are at positions 13,345–13,355, 13,456–13,566 and 13,567–13,362. This repeat does not closely resemble those in other Paragonimus species. A putative tRNAGlu, not identified by Wang et al. (2018), starts at 13,289 and ends at 13,348. In the NR of P. heterotremus (MH059809) there are three complete or near-complete copies of a 37 bp region (13,503–13,539, 13,578–13,614, 13,686–13,717). Interestingly, this motif is a near-palindrome (with BLAST matches at almost the same locations in the reverse orientation). There are also two copies of a 52 bp region (13,614–13,665 and 13,762–13,813). No similarity was found with other Paragonimus species. tRNAGlu is from 13,343 to 13,408.

Phylogenetic analysis

Phylogenetic trees were constructed from concatenated amino-acid sequences from 50 taxa of trematodes (see Table S1). The Bayesian analysis recovered a monophyletic Paragonimidae with the cluster of P. westermani sequences appearing as sister to the remaining members of the genus. This matches previous phylogenetic schemes for Paragonimus (e.g., Nawa et al., 2014). The two Indian P. westermani mitogenomes, originating from the same region of India, despite clustering together, were more distinct from each other than were the two Korean (2n and 3n) mitogenomes (Fig. 3). Three distinct genotypes belonging to the P. westermani complex are known from northeastern India (Devi et al., 2010; Devi et al., 2013; Oey et al., 2019). The two genomes of P. heterotremus are near-identical. Paragonimus ohirai is distinct from the other species, with P. kellicotti as a rather distant sister.

Figure 3. Phylogenetic tree based on concatenated amino-acid sequence data for the 12 mitochondrial proteins from 50 strains of 42 digenean trematode species (Table S1).

Figure 3

Phylogenetic reconstruction was performed in MrBayes 3.2 program (Ronquist et al., 2012) with a final alignment of 2,509 amino-acid residues in length after removing poor-quality regions of the alignment. The tree produced (left-hand side of figure) was a 50% majority-rule tree to which all compatible groupings were added and rooted by outgroup (i.e., members of the Diplostomata –schistosomes and related taxa). Bayesian posterior support values for each node were 100% in every case except one (within the Opisthorchiidae, value of 57% indicated). Accession numbers are given at the end of each sequence label. Paragonimus ohirai in this study is marked by a star symbol. Full names of each species and of families where they belong are provided. The scale bar represents the number of substitutions per site. The tree on the right-hand side of the figure shows the relationships of the same families according to Olson et al. (2003).

The relationships depicted in the Bayesian tree matched reasonably closely those found by Olson et al. (2003) in a study using nuclear ribosomal sequences. Each included family was distinguished and grouped into the suborders proposed in Olson et al. (2003) (Fig. 3). For example, fasciolids and echinostomes are sister groups within the Echinostomata, as are paramphistomes and notocotylids (within the Pronocephalata), and also heterophyids and opisthorchiids (within the Opisthorchiata) (Fig. 3). The suborders mostly appear in the tree where expected from Olson et al. (2003), with two striking exceptions. The first is that the dicrocoeliids appear as rather basal in the tree, whereas they should belong close to Paragonimus within the derived suborder Xiphidiata (Olson et al., 2003). We can offer no convincing explanation for this discrepancy. The other exception is that, in our tree, the echinostomes and fasciolids (Echinostomata) are basal to the Pronocephalata, a situation reversed in Olson et al. (2003).

Conclusion

The present study provides the fully annotated mitogenome of Paragonimus ohirai (from an individual worm from Kinosaki, Japan) and a description of its genomic features in comparison with those of other paragonimids. There is an emphasis on comparisons with members of the P. westermani species complex. Although genomic organization is the same in P. westermani and P. ohirai, their mitogenomes differ remarkably in base composition, influencing codon usage and skew values. Despite this, phylogenetic analysis of the trematodes recovered a monophyletic family Paragonimidae. Fully characterized mitogenomes of additional paragonimid species will be useful for diagnostic, taxonomic, epidemiological, systematic, phylogenetic and population genetic studies.

Supplemental Information

Table S1. List of the trematodes for which complete mitochondrial genomes (or at least the coding portion) are available in GenBank.

Abbr: abbreviation of trematode species name; UNK: unknown; N/A: not available. *Scientific names of hosts, where indicated in original references, are as follows: Cattle/Cow: Bos taurus; Human: Homo sapiens; Yak: Bos grunniens; Goat: Capra aegagrus hircus; Cray: Crayfish Cambarus bouchardi; Dog: Canis familiaris ; Buffalo: Bubalus bubalis; Deer: Cervus elaphus; Crabs: Sesarma dehaani (Japan), Barytelphusa lugubris lugubris (India); Rat: Rattus norvegicus; Duck: Anas platyrhynchos; Cat: Felis catus; Fish: Cyprinoid fish; Black-headed gull: Larus ridibundus; Sheep: Ovis aries; culture: a laboratory-maintained strain.

DOI: 10.7717/peerj.7031/supp-1
Table S2. Codon usage in the mitochondrial genomes of several Paragonimus species.

* Three-letter abbreviations for amino acids according to DDBJ (http://www.ddbj.nig.ac.jp/sub/ref2-e.html). The table cells highlighted indicate examples of bias towards use of A and T (for example, ATT codon for Isoleucine (Ile), TTA for Leucine (Leu), TCT for Serine (Ser), and TAT for Tyrosine (Tyr)).

DOI: 10.7717/peerj.7031/supp-2
Figure S1. Phylogenetic tree inferred from alignment of partial cox1 nucleotides.

The alignment included 224 partial cox1 nucleotide sequences (309 bp) of 19 Paragonimus species available in GenBank and from previous publications, including Paragonimus ohirai from three different localities in Japan. The newly sequenced specimen from Kinosaki is indicated by a star symbol. Phylogenetic reconstruction was performed using maximum-likelihood analysis (ML) with the Tamura-Nei model in the MEGA 7 package (Kumar, Stecher & Tamura, 2016). Bootstrap support for each node was evaluated using 100 bootstrap resamplings and values reported above the node. Accession numbers and species names are given. The sequences for all species complexes, except the P. ohirai complex, have been compressed into triangles. The paraphyletic nature of P. harinasutai and P. bangkokensis has been noted previously ((Habe et al., 2013)). The scale bar indicates the number of substitutions per site.

DOI: 10.7717/peerj.7031/supp-3
Figure S2. Schematic presentation of the fully annotated sequence (14,818 bp) of the complete mitochondrial genome of Paragonimus ohirai (Kinosaki isolate, Japan).

The circular molecule contains 12 protein-coding, two ribosomal (large and small subunits), 22 transfer RNA genes and a non-coding region comprising of repeats (Genbank KX765277). For the abbreviations used for individual genes and regions, see Table 3 and Fig. 1. Start and stop codons for each protein-coding gene are highlighted. Repeat sequences are indicated by alternating colour highlights.

DOI: 10.7717/peerj.7031/supp-4
Figure S3. Sequence alignment of mitochondrial non-coding regions of 6 individuals of Paragonimus ohirai.

The sequences were from 3 Kinosaki (upper lines) and 3 Nagoya specimens (lower lines) obtained by forward primer GLYF (binding in tRNAGly) and reverse primer PO17R (located in cox3) (Table 1). Location of individual genes and repeats in the aligned region is marked.

DOI: 10.7717/peerj.7031/supp-5

Funding Statement

This research is funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 108.02-2017.09 (PI: Thanh Hoa Le). The Japan Society for Promotion of Science (JSPS) supported Dr. Thanh Hoa Le and Dr. Takeshi Agatsuma in preparation of the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Additional Information and Declarations

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Thanh Hoa Le conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Khue Thi Nguyen and Nga Thi Bich Nguyen performed the experiments.

Huong Thi Thanh Doan performed the experiments, analyzed the data.

Takeshi Agatsuma conceived and designed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

David Blair conceived and designed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Data Availability

The following information was supplied regarding data availability:

Fully annotated mitochondrial genome of Paragonimus ohirai (KX765277) and non-coding regions (MF510407; MG214475MG214478) are available in the GenBank database.

References

  • Agatsuma & Habe (1986).Agatsuma T, Habe S. Genetic variability and differentiation of natural populations in three Japanese lung flukes, Paragonimus ohirai, Paragonimus iloktsuenensis and Paragonimus sadoensis (Digenea: Troglotrematidae) Journal of Parasitology. 1986;72:417–433. doi: 10.2307/3281682. [DOI] [PubMed] [Google Scholar]
  • Agatsuma et al. (1992).Agatsuma T, Ketudat P, Thaithong S, Shibahara T, Sugiyama H, Habe S, Terasaki K, Kawashima K. Electrophoretic analysis of a natural population of the Thai Paragonimus heterotremus and its genetic relationship to the three Japanese species P. miyazaki, P. ohirai and P. westermani. Parasitology Research. 1992;78:463–468. doi: 10.1007/BF00931564. [DOI] [PubMed] [Google Scholar]
  • Benson (1999).Benson G. Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Research. 1999;27:573–580. doi: 10.1093/nar/27.2.573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Bernt et al. (2013).Bernt M, Donath A, Jühling F, Externbrink F, Florentz C, Fritzsch G, Pütz J, Middendorf M, Stadler PF. MITOS: improved de novo metazoan mitochondrial genome annotation. Molecular Phylogenetic and Evolution. 2013;69:313–319. doi: 10.1016/j.ympev.2012.08.023. [DOI] [PubMed] [Google Scholar]
  • Biswal et al. (2014).Biswal DK, Chatterjee A, Bhattacharya A, Tandon V. The mitochondrial genome of Paragonimus westermani (Kerbert, 1878), the Indian isolate of the lung fluke representative of the family Paragonimidae (Trematoda) PeerJ. 2014;2:e484. doi: 10.7717/peerj.484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Blair (2008).Blair D. Family Paragonimidae Dollfus, 1939. In: Bray RA, Gibson DI, Jones A, editors. Keys to the Trematoda. Vol. 3. CAB International and Natural History Museum; London: 2008. [DOI] [Google Scholar]
  • Blair (2014).Blair D. Paragonimasis. In: Toledo R, Fried B, editors. Digenetic trematodes. Springer Science; New York: 2014. pp. 115–152. [Google Scholar]
  • Blair, Agatsuma & Watanobe (1997).Blair D, Agatsuma T, Watanobe T. Molecular evidence for the synonymy of three species of Paragonimus, and P. ohirai Miyazaki, 1939, P. iloktsuenensis Chen, 1940, and P. sadoensis Miyazaki et al., 1968. Journal of Helminthology. 1997;71:305–310. doi: 10.1017/S0022149X00016114. [DOI] [PubMed] [Google Scholar]
  • Blair et al. (2016).Blair D, Nawa Y, Mitreva M, Doanh PN. Gene diversity and genetic variation in lung flukes (genus Paragonimus) Transactions of the Royal Society of Tropical Medicine and Hygiene. 2016;110:6–12. doi: 10.1093/trstmh/trv101. [DOI] [PubMed] [Google Scholar]
  • Blair, Xu & Agatsuma (1999).Blair D, Xu ZB, Agatsuma T. Paragonimiasis and the genus Paragonimus. Advances Parasitology. 1999;42:113–222. doi: 10.1016/S0065-308X(08)60149-9. [DOI] [PubMed] [Google Scholar]
  • Boore (1999).Boore JL. Animal mitochondrial genomes. Nucleic Acids Research. 1999;27:1767–1780. doi: 10.1093/nar/27.8.1767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Brabec et al. (2015).Brabec J, Kostadinova A, Scholz T, Littlewood DTJ. Complete mitochondrial genomes and nuclear ribosomal RNA operons of two species of Diplostomum (Platyhelminthes: Trematoda): a molecular resource for taxonomy and molecular epidemiology of important fish pathogens. Parasites & Vectors. 2015;8:336. doi: 10.1186/s13071-015-0949-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cai et al. (2012).Cai XQ, Liu GH, Song HQ, Wu CY, Zou FC, Yan H, Yuan ZG, Lin RQ, Zhu XQ. Sequences and gene organization of the mitochondrial genomes of the liver flukes Opisthorchis viverrini and Clonorchis sinensis (Trematoda) Parasitology Research. 2012;110:235–243. doi: 10.1007/s00436-011-2477-2. [DOI] [PubMed] [Google Scholar]
  • Castresana (2000).Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Molecular Biology and Evolution. 2000;17:540–552. doi: 10.1093/oxfordjournals.molbev.a026334. [DOI] [PubMed] [Google Scholar]
  • Chen et al. (2016).Chen L, Feng Y, Chen HM, Wang LX, Feng HL, Yang X, Mughal MN, Fang R. Complete mitochondrial genome analysis of Clinostomum complanatum and its comparison with selected digeneans. Parasitology Research. 2016;115:3249–3256. doi: 10.1007/s00436-016-5102-6. [DOI] [PubMed] [Google Scholar]
  • Devi et al. (2010).Devi KR, Narain K, Agatsuma T, Blair D, Nagataki M, Wickramasinghe S, Yatawara L, Mahanta J. Morphological and molecular characterization of Paragonimus westermani in northeastern India. Acta Tropica. 2010;116:31–38. doi: 10.1016/j.actatropica.2010.05.003. [DOI] [PubMed] [Google Scholar]
  • Devi et al. (2013).Devi KR, Narain K, Mahanta J, Nirmolia T, Blair D, Saikia SP, Agatsuma T. Presence of three distinct genotypes within the Paragonimus westermani complex in northeastern India. Parasitology. 2013;140:76–86. doi: 10.1017/S0031182012001229. [DOI] [PubMed] [Google Scholar]
  • Fujino et al. (1996).Fujino T, Takamiya S, Fukuda K, Aoki T. Two types of parenchymal cells in the lung fluke Paragonimus ohirai (Digenea: Troglotrematidae) characterized by the cytochemistry of their mitochondria. Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology. 1996;113:387–394. doi: 10.1016/0305-0491(95)02056-X. [DOI] [PubMed] [Google Scholar]
  • Habe & Agatsuma Hirai (1985).Habe S, Agatsuma T, Hirai H. Evidence for metacercarial polymorphism in lung flukes, Paragonimus ohirai and Paragonimus iloktsuenensis. Journal of Parasitology. 1985;71:820–827. doi: 10.2307/3281721. [DOI] [PubMed] [Google Scholar]
  • Hardman & Hardman (2006).Hardman M, Hardman LM. Comparison of the phylogenetic performance of neodermatan mitochondrial protein-coding genes. Zoologica Scripta. 2006;35:655–665. doi: 10.1111/j.1463-6409.2006.00248.x. [DOI] [Google Scholar]
  • Ikeda (2002).Ikeda T. Identification and characterization of major allergens in excretory/secretory products of the worm Paragonimus ohirai. International Archives of Allergy and Immunology. 2002;128:187–194. doi: 10.1159/000064251. [DOI] [PubMed] [Google Scholar]
  • Ikeda (2006).Ikeda T. Effects of L-type Ca2+ channel antagonists on in vitro excystment of Paragonimus ohirai metacercariae induced by sodium cholate. Parasitology Research. 2006;99:336–340. doi: 10.1007/s00436-005-0080-0. [DOI] [PubMed] [Google Scholar]
  • Ikeda, Oikawa & Nishiyama (1996).Ikeda T, Oikawa Y, Nishiyama T. Enzyme-linked immunosorbent assay using cysteine proteinase antigens for immunodiagnosis of human paragonimiasis. American Journal of Tropical Medicine and Hygiene. 1996;55:435–437. doi: 10.4269/ajtmh.1996.55.434. [DOI] [PubMed] [Google Scholar]
  • Jones, Taylor & Thornton (1992).Jones DT, Taylor WR, Thornton JM. The rapid generation of mutation data matrices from protein sequences. Computer Applications in the Biosciences. 1992;8:275–282. doi: 10.1093/bioinformatics/8.3.275. [DOI] [PubMed] [Google Scholar]
  • Katoh & Standley (2013).Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular Biology and Evolution. 2013;30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Kumar, Stecher & Tamura (2016).Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Molecular Biology and Evolution. 2016;33:1870–1874. doi: 10.1093/molbev/msw054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Laslett & Canback (2008).Laslett D, Canback B. ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences. Bioinformatics. 2008;24:172–175. doi: 10.1093/bioinformatics/btm573. [DOI] [PubMed] [Google Scholar]
  • Le, Blair & McManus (2001a).Le TH, Blair D, McManus DP. Complete DNA sequence and gene organization of the mitochondrial genome of the liverfluke, Fasciola hepatica L. (Platyhelminthes; Trematoda) Parasitology. 2001a;123:609–621. doi: 10.1017/S0031182001008733. [DOI] [PubMed] [Google Scholar]
  • Le, Blair & McManus (2002).Le TH, Blair D, McManus DP. Mitochondrial genomes of parasitic flatworms. Trends in Parasitology. 2002;18:206–213. doi: 10.1016/S1471-4922(02)02252-3. [DOI] [PubMed] [Google Scholar]
  • Le, Blair & McManus (2004).Le TH, Blair D, McManus DP. Codon usage and bias in mitochondrial genome of platyhelminths. Korean Journal of Parasitology. 2004;42:159–167. doi: 10.3347/kjp.2004.42.4.159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Le et al. (2001b).Le TH, Humair PF, Blair D, Agatsuma T, Littlewood DTJ, McManus DP. Mitochondrial gene content, arrangement and composition compared in African and Asian schistosomes. Molecular and Biochemical Parasitology. 2001b;117:61–71. doi: 10.1016/S0166-6851(01)00330-9. [DOI] [PubMed] [Google Scholar]
  • Le et al. (2016).Le TH, Nguyen NTB, Nguyen KT, Doan HTT, Dung DT, Blair D. A complete mitochondrial genome from Echinochasmus japonicus supports the elevation of Echinochasminae Odhner, 1910 to family rank (Trematoda: Platyhelminthes) Infection, Genetics and Evolution. 2016;45:369–377. doi: 10.1016/j.meegid.2016.09.024. [DOI] [PubMed] [Google Scholar]
  • Lee et al. (2013).Lee D, Choe S, Park H, Jeon HK, Chai JY, Sohn WM, Yong TS, Min DY, Rim HJ, Eom KS. Complete mitochondrial genome of Haplorchis taichui and comparative analysis with other trematodes. Korean Journal of Parasitology. 2013;51:719–726. doi: 10.3347/kjp.2013.51.6.719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Littlewood et al. (2006).Littlewood DT, Lockyer AE, Webster BL, Johnston DA, Le TH. The complete mitochondrial genomes of Schistosoma haematobium and Schistosoma spindale and the evolutionary history of mitochondrial genome changes among parasitic flatworms. Molecular Phylogenetics and Evolution. 2006;39:452–467. doi: 10.1016/j.ympev.2005.12.012. [DOI] [PubMed] [Google Scholar]
  • Liu et al. (2014b).Liu GH, Gasser RB, Young ND, Song HQ, Ai L, Zhu XQ. Complete mitochondrial genomes of the ‘intermediate form’ of Fasciola and Fasciola gigantica, and their comparison with F. hepatica. Parasites & Vectors. 2014b;7:150. doi: 10.1186/1756-3305-7-150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Liu et al. (2014a).Liu GH, Yan HB, Otranto D, Wang XY, Zhao GH, Jia WZ, Zhu XQ. Dicrocoelium chinensis and Dicrocoelium dendriticum (Trematoda: Digenea) are distinct lancet fluke species based on mitochondrial and nuclear ribosomal DNA sequences. Molecular Phylogenetics and Evolution. 2014a;79:325–331. doi: 10.1016/j.ympev.2014.07.002. [DOI] [PubMed] [Google Scholar]
  • Lowe & Eddy (1997).Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Research. 1997;25:955–964. doi: 10.1093/nar/25.5.955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ma et al. (2016b).Ma J, He JJ, Liu GH, Blair D, Liu LZ, Liu Y, Zhu XQ. Mitochondrial genome of Ogmocotyle sikae and implications for phylogenetic studies of the Notocotylidae trematodes. Infection, Genetics and Evolution. 2016b;37:208–314. doi: 10.1016/j.meegid.2015.11.018. [DOI] [PubMed] [Google Scholar]
  • Ma et al. (2016a).Ma J, He JJ, Liu GH, Leontovyč R, Kašný M, Zhu XQ. Complete mitochondrial genome of the giant liver fluke Fascioloides magna (Digenea: Fasciolidae) and its comparison with selected trematodes. Parasites & Vectors. 2016a;9:429. doi: 10.1186/s13071-016-1699-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ma et al. (2015).Ma J, He JJ, Liu GH, Zhou DH, Liu JZ, Liu Y, Zhu XQ. Mitochondrial and nuclear ribosomal DNA dataset supports that Paramphistomum leydeni (Trematoda: Digenea) is a distinct rumen fluke species. Parasites & Vectors. 2015;8:201. doi: 10.1186/s13071-015-0823-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ma et al. (2017).Ma J, Sun MM, He JJ, Liu GH, Ai L, Chen MX, Zhu XQ. Fasciolopsis buski (Digenea: Fasciolidae) from China and India may represent distinct taxa based on mitochondrial and nuclear ribosomal DNA sequences. Parasites & Vectors. 2017;10:101. doi: 10.1186/s13071-017-2039-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Miyazaki (1939).Miyazaki I. On a new lung fluke Paragonimus ohirai n.sp. Fukuoka Acta Medica. 1939;32:1247–1252. (in Japanese with German summary) [Google Scholar]
  • Miyazaki (1991).Miyazaki I. An illustrated book of helminthic zoonoses. International Medical Foundation of Japan; Tokyo: 1991. [Google Scholar]
  • Na et al. (2016).Na L, Gao JF, Liu GH, Fu X, Su X, Yue DM, Gao Y, Zhang Y, Wang CR. The complete mitochondrial genome of Metorchis orientalis (Trematoda: Opisthorchiidae): Comparison with other closely related species and phylogenetic implications. Infection, Genetics and Evolution. 2016;39:45–50. doi: 10.1016/j.meegid.2016.01.010. [DOI] [PubMed] [Google Scholar]
  • Nawa et al. (2014).Nawa Y, Thaenkham U, Doanh PN, Blair D. Helminth-Trematode: Paragonimus westermani and Paragonimus species. In: Motarjemi Y, Moy G, Todd ECD, editors. Encyclopedia of food safety. Vol. 2. Elsevier/Academic Press; Amsterdam: 2014. pp. 179–187. [Google Scholar]
  • Oey et al. (2019).Oey H, Zakrzewski M, Narain K, Devi KR, Agatsuma T, Nawaratna S, Gobert GN, Jones MK, Ragan MA, McManus DP, Krause L. Whole-genome sequence of the oriental lung fluke Paragonimus westermani. Gigascience. 2019;8(1):giy146. doi: 10.1093/gigascience/giy146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Olson et al. (2003).Olson PD, Cribb TH, Tkach VV, Bray RA, Littlewood DTJ. Phylogeny and classification of the Digenea (Platyhelminthes: Trematoda) International Journal for Parasitology. 2003;33:733–755. doi: 10.1016/S0020-7519(03)00049-3. [DOI] [PubMed] [Google Scholar]
  • Perna & Kocher (1995).Perna NT, Kocher TD. Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. Journal of Molecular Evolution. 1995;41:353–358. doi: 10.1007/BF00186547. [DOI] [PubMed] [Google Scholar]
  • Qian et al. (2018).Qian L, Zhou P, Li WL, Wang HP, Miao TJ, Hu LG. Characterization of the complete mitochondrial genome of the lung fluke, Paragonimus heterotremus. Mitochondrial DNA Part B. 2018;3:560–561. doi: 10.1080/23802359.2018.1462119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ronquist et al. (2012).Ronquist F, Teslenko M, Van Der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology. 2012;61:539–542. doi: 10.1093/sysbio/sys029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ryu et al. (2000).Ryu JS, Hwang UW, Min DY, Shin KS, Nam SJ, Lee OR. Molecular identification of Paragonimus ohirai and P. westermani from Anhui Province, China. Parasite. 2000;7:305–309. doi: 10.1051/parasite/2000074305. [DOI] [PubMed] [Google Scholar]
  • Schmidt et al. (2002).Schmidt HA, Strimmer K, Vingron M, Haeseler Avon. TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. Bioinformatics. 2002;18:502–504. doi: 10.1093/bioinformatics/18.3.502. [DOI] [PubMed] [Google Scholar]
  • Shekhovtsov et al. (2010).Shekhovtsov SV, Katokhin AV, Kolchanov NA, Mordvinov VA. The complete mitochondrial genomes of the liver flukes Opisthorchis felineus and Clonorchis sinensis (Trematoda) Parasitology International. 2010;59:100–103. doi: 10.1016/j.parint.2009.10.012. [DOI] [PubMed] [Google Scholar]
  • Solà et al. (2015).Solà E, Álvarez Presas M, Frías-López C, Littlewood DTJ, Rozas J, Riutort M. Evolutionary analysis of mitogenomes from parasitic and free-living flatworms. PLOS ONE. 2015;10:e0120081. doi: 10.1371/journal.pone.0120081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Sugiyama et al. (2004).Sugiyama H, Morishima Y, Kameoka Y, Arakawa K, Kawanaka M. Paragonimus ohirai metacercariae in crabs collected along the Arakawa River in Tokyo, Japan. Journal of Veterinary Medical Science. 2004;66:927–931. doi: 10.1292/jvms.66.927. [DOI] [PubMed] [Google Scholar]
  • Tada, Nagano & Sato (1969).Tada I, Nagano K, Sato A. On the lung fluke, Paragonomus ohirai Miyazaki, 1939, parasitic in crabs from Tanagashima is. Kagoshima, Japan. Acta Medica Universitatis Kagoshimaensis. 1969;11:109–115. [Google Scholar]
  • Tomimura, Arakawa & Ono (1957).Tomimura T, Arakawa A, Ono T. Infection incidence of larval lung flukes, Paragonimus ohirai, in Sesarma dehaani from the Maruyama River in Hyogo Prefecture. Japanese Journal of Veterinary Science. 1957;19:19–29. doi: 10.1292/jvms1939.19.19. (in Japanese with English summary) [DOI] [Google Scholar]
  • Van Herwerden, Blair & Agatsuma (1999a).Van Herwerden L, Blair D, Agatsuma T. Genetic diversity in parthenogenetic triploid Paragonimus westermani. International Journal for Parasitology. 1999a;29:1477–1482. doi: 10.1016/S0020-7519(99)00072-7. [DOI] [PubMed] [Google Scholar]
  • Van Herwerden, Blair & Agatsuma (1999b).Van Herwerden L, Blair D, Agatsuma T. Intra- and interindividual variation in ITS1 of Paragonimus westermani (Trematoda: digenea) and related species: implications for phylogenetic studies. Molecular Phylogenetics and Evolution. 1999b;12:67–73. doi: 10.1006/mpev.1998.0572. [DOI] [PubMed] [Google Scholar]
  • Wang et al. (2018).Wang T, Wang YF, Xu FQ, Li X, Qu R, Song L, Tang YP, LinP L. Characterization of the complete mitochondrial genome of the lung fluke, Paragonimus kellicotti. Mitochondrial DNA Part B. 2018;3:715–716. doi: 10.1080/23802359.2018.1483763. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • Webster et al. (2007).Webster BL, Rudolfová J, Horák P, Littlewood DT. The complete mitochondrial genome of the bird schistosome Trichobilharzia regenti (Platyhelminthes: Digenea), causative agent of cercarial dermatitis. Journal of Parasitology. 2007;93:553–561. doi: 10.1645/GE-1072R.1. [DOI] [PubMed] [Google Scholar]
  • Wey-Fabrizius et al. (2013).Wey-Fabrizius AR, Podsiadlowski L, Herlyn H, Hankeln T. Platyzoan mitochondrial genomes. Molecular Phylogenetics and Evolution. 2013;69:365–375. doi: 10.1016/j.ympev.2012.12.015. [DOI] [PubMed] [Google Scholar]
  • Wolstenholme (1992).Wolstenholme DR. Animal mitochondrial DNA: structure and evolution. International Review of Cytology. 1992;141:173–216. doi: 10.1016/S0074-7696(08)62066-5. [DOI] [PubMed] [Google Scholar]
  • Wyman, Jansen & Boore (2004).Wyman SK, Jansen RK, Boore JL. Automatic annotation of organellar genomes with DOGMA. Bioinformatics. 2004;20:3252–3255. doi: 10.1093/bioinformatics/bth352. [DOI] [PubMed] [Google Scholar]
  • Yang et al. (2016a).Yang X, Wang L, Feng H, Qi M, Zhang Z, Gao C, Wang C, Hu M, Fang R, Li C. Characterization of the complete mitochondrial genome sequence of Homalogaster paloniae (Gastrodiscidae, Trematoda) and comparative analyses with selected digeneans. Parasitology Research. 2016a;115:3941–3949. doi: 10.1007/s00436-016-5160-9. [DOI] [PubMed] [Google Scholar]
  • Yoshida et al. (2016).Yoshida A, Matsuo K, Moribe J, Tanaka R, Kikuchi T, Nagayasu E, Misawa N, Maruyama H. Venison, another source of Paragonimus westermani infection. Parasitology International. 2016;65:607–612. doi: 10.1016/j.parint.2016.09.009. [DOI] [PubMed] [Google Scholar]
  • Zarowiecki, Huyse & Littlewood (2007).Zarowiecki MZ, Huyse T, Littlewood DTJ. Making the most of mitochondrial genomes—Markers for phylogeny, molecular ecology and barcodes in Schistosoma (Platyhelminthes: Digenea) International Journal for Parasitology. 2007;37:1401–1418. doi: 10.1016/j.ijpara.2007.04.014. [DOI] [PubMed] [Google Scholar]

Further reading

  • Chang et al. (2016).Chang QC, Liu GH, Gao JF, Zheng X, Zhang Y, Duan H, Yue DM, Fu X, Su X, Gao Y, Wang CR. Sequencing and characterization of the complete mitochondrial genome from the pancreatic fluke Eurytrema pancreaticum (Trematoda: Dicrocoeliidae) Gene. 2016;576:160–165. doi: 10.1016/j.gene.2015.09.081. [DOI] [PubMed] [Google Scholar]
  • Habe et al. (2013).Habe S, Doanh PN, Yahiro S, Vannavong N, Barennes H, Odermatt P, Dreyfuss G, Horii Y, Nawa Y. Paragonimus paishuihoensis Metacercariae in Freshwater Crabs, Potamon lipkei, in Vientiane Province, Lao PDR. Korean Journal of Parasitology. 2013;51:683–687. doi: 10.3347/kjp.2013.51.6.683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Wang et al. (2011).Wang Y, Wang CR, Zhao GH, Gao JF, Li MW, Zhu XQ. The complete mitochondrial genome of Orientobilharzia turkestanicum supports its affinity with African Schistosoma spp. Infection, Genetics and Evolution. 2011;11:1964–1970. doi: 10.1016/j.meegid.2011.08.030. [DOI] [PubMed] [Google Scholar]
  • Yan et al. (2013).Yan HB, Wang XY, Lou ZZ, Li L, Blair D, Yin H, Cai JZ, Dai XL, Lei MT, Zhu XQ, Cai XP, Jia WZ. The mitochondrial genome of Paramphistomum cervi (Digenea), the first representative for the family Paramphistomidae. PLOS ONE. 2013;8:e71300. doi: 10.1371/journal.pone.0071300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Yang et al. (2015a).Yang X, Gasser RB, Koehler AV, Wang L, Zhu K, Chen L, Feng H, Hu M, Fang R. Mitochondrial genome of Hypoderaeum conoideum - comparison with selected trematodes. Parasites & Vectors. 2015a;8:97. doi: 10.1186/s13071-015-0720-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Yang et al. (2016b).Yang X, Wang L, Chen H, Feng H, Shen B, Hu M, Fang R. The complete mitochondrial genome of Gastrothylax crumenifer (Gastrothylacidae, Trematoda) and comparative analyses with selected trematodes. Parasitology Research. 2016b;115:2489–2497. doi: 10.1007/s00436-016-5019-0. [DOI] [PubMed] [Google Scholar]
  • Yang et al. (2015b).Yang X, Zhao Y, Wang L, Feng H, Tan L, Lei W, Zhao P, Hu M, Fang R. Analysis of the complete Fischoederius elongatus (Paramphistomidae, Trematoda) mitochondrial genome. Parasites & Vectors. 2015b;8:279. doi: 10.1186/s13071-015-0893-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Zhao et al. (2016).Zhao YY, Yang X, Chen HM, Wang LX, Feng HL, Zhao PF, Tan L, Lei WQ, Ao Y, Hu M, Fang R. The complete mitochondrial genome of Orthocoelium streptocoelium (Digenea: Paramphistomidae) for comparison with other digeneans. Journal of Helminthology. 2016;31:1–7. doi: 10.1017/S0022149X16000183. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1. List of the trematodes for which complete mitochondrial genomes (or at least the coding portion) are available in GenBank.

Abbr: abbreviation of trematode species name; UNK: unknown; N/A: not available. *Scientific names of hosts, where indicated in original references, are as follows: Cattle/Cow: Bos taurus; Human: Homo sapiens; Yak: Bos grunniens; Goat: Capra aegagrus hircus; Cray: Crayfish Cambarus bouchardi; Dog: Canis familiaris ; Buffalo: Bubalus bubalis; Deer: Cervus elaphus; Crabs: Sesarma dehaani (Japan), Barytelphusa lugubris lugubris (India); Rat: Rattus norvegicus; Duck: Anas platyrhynchos; Cat: Felis catus; Fish: Cyprinoid fish; Black-headed gull: Larus ridibundus; Sheep: Ovis aries; culture: a laboratory-maintained strain.

DOI: 10.7717/peerj.7031/supp-1
Table S2. Codon usage in the mitochondrial genomes of several Paragonimus species.

* Three-letter abbreviations for amino acids according to DDBJ (http://www.ddbj.nig.ac.jp/sub/ref2-e.html). The table cells highlighted indicate examples of bias towards use of A and T (for example, ATT codon for Isoleucine (Ile), TTA for Leucine (Leu), TCT for Serine (Ser), and TAT for Tyrosine (Tyr)).

DOI: 10.7717/peerj.7031/supp-2
Figure S1. Phylogenetic tree inferred from alignment of partial cox1 nucleotides.

The alignment included 224 partial cox1 nucleotide sequences (309 bp) of 19 Paragonimus species available in GenBank and from previous publications, including Paragonimus ohirai from three different localities in Japan. The newly sequenced specimen from Kinosaki is indicated by a star symbol. Phylogenetic reconstruction was performed using maximum-likelihood analysis (ML) with the Tamura-Nei model in the MEGA 7 package (Kumar, Stecher & Tamura, 2016). Bootstrap support for each node was evaluated using 100 bootstrap resamplings and values reported above the node. Accession numbers and species names are given. The sequences for all species complexes, except the P. ohirai complex, have been compressed into triangles. The paraphyletic nature of P. harinasutai and P. bangkokensis has been noted previously ((Habe et al., 2013)). The scale bar indicates the number of substitutions per site.

DOI: 10.7717/peerj.7031/supp-3
Figure S2. Schematic presentation of the fully annotated sequence (14,818 bp) of the complete mitochondrial genome of Paragonimus ohirai (Kinosaki isolate, Japan).

The circular molecule contains 12 protein-coding, two ribosomal (large and small subunits), 22 transfer RNA genes and a non-coding region comprising of repeats (Genbank KX765277). For the abbreviations used for individual genes and regions, see Table 3 and Fig. 1. Start and stop codons for each protein-coding gene are highlighted. Repeat sequences are indicated by alternating colour highlights.

DOI: 10.7717/peerj.7031/supp-4
Figure S3. Sequence alignment of mitochondrial non-coding regions of 6 individuals of Paragonimus ohirai.

The sequences were from 3 Kinosaki (upper lines) and 3 Nagoya specimens (lower lines) obtained by forward primer GLYF (binding in tRNAGly) and reverse primer PO17R (located in cox3) (Table 1). Location of individual genes and repeats in the aligned region is marked.

DOI: 10.7717/peerj.7031/supp-5

Data Availability Statement

The following information was supplied regarding data availability:

Fully annotated mitochondrial genome of Paragonimus ohirai (KX765277) and non-coding regions (MF510407; MG214475MG214478) are available in the GenBank database.


Articles from PeerJ are provided here courtesy of PeerJ, Inc

RESOURCES