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Codon usage and bias in mitochondrial genomes of parasitic platyhelminthes
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Korean J Parasito > Volume 42(4):2004 > Article
Le, McManus, and Blair: Codon usage and bias in mitochondrial genomes of parasitic platyhelminthes

Abstract

Sequences of the complete protein-coding portions of the mitochondrial (mt) genome were analysed for 6 species of cestodes (including hydatid tapeworms and the pork tapeworm) and 5 species of trematodes (blood flukes and liver- and lung-flukes). A near-complete sequence was also available for an additional trematode (the blood flukeSchistosoma malayensis). All of these parasites belong to a large flatworm taxon named the Neodermata. Considerable variation was found in the base composition of the protein-coding genes among these neodermatans. This variation was reflected in statistically-significant differences in numbers of each inferred amino acid between many pairs of species. Both convergence and divergence in nucleotide, and hence amino acid, composition was noted among groups within the Neodermata. Considerable variation in skew (unequal representation of complementary bases on the same strand) was found among the species studied. A pattern is thus emerging of diversity in the mt genome in neodermatans that may cast light on evolution of mt genomes generally.

INTRODUCTION

Mitochondrial (mt) genomes are an evolutionary paradox. There are many reasons why genomes should not have persisted in mitochondria - and yet they have indeed persisted (Saccone et al. 2002). Mitochondrial genomes also exhibit features not seen, or not as pronounced, in nuclear genomes. Among these are biases in base composition that must have an influence on the protein subunits for which they code. Studies on mitochondrial codon usage investigating this phenomenon have mainly focused on vertebrates.
We have an ongoing program of sequencing and characterising mitochondrial genomes from parasitic flatworms (Le et al., 2000a, 2000b). The major classes of parasitic flatworms, Trematoda, Monogenea and Cestoda, belong to a larger monophyletic taxon, the Neodermata. This taxon is distinct from other members of the Platyhelminthes (Littlewood and Bray 2001). Arising largely from our previous work, it is now clear that mt genomes of neodermatans resemble those of other metazoans in their organisation (Le et al., 2000a, 2000b). We have previously noted striking differences in base composition among these genomes (Le et al., 2002b). Here, we report codon usage and associated phenomena for as many of these genomes as are currently available.

MATERIALS AND METHODS

Available to us for analysis were DNA sequences encompassing all protein-coding genes of the mitochondria of 11 species of neodermatans, 5 trematodes and 6 cestodes. For an additional trematode species, Schistosoma malayensis, we had sequence for most of the protein-coding genes. Further information on the taxa, GenBank accession numbers and reference sources, are in the footnote to Table 1.
Sequences were aligned using AssemblyLIGN v 1.9c and analysed by MacVector 6.5.3 package (Oxford Molecular Group). Pairwise comparisons of nucleotide and amino acid (aa) sequences of individual genes were undertaken using ClustalW as incorporated into the MacVector 6.5.3 package. Base composition and codon usage was calculated with MacVector 6.5.3, the DNA Strider program (Douglas 1995) and MEGA v2.1 (Kumar et al., 2001 - Arizona State University, Tempe, Arizona, USA).
Translations were done using the neodermatan mt genetic code most recently discussed in Blair et al. (1999), Nakao et al. (2000) and Telford et al. (2000). This code differs from the universal code in that TGA specifies tryptophan, AGA and AGG specify serine, ATA specifies isoleucine and AAA specifies asparagine. Initiation and termination codons will be discussed further below.
The program Tree-Puzzle v5 (Strimmer and von Haeseler, 1996) was used to explore base composition variation and amino-acid composition variation among the mt genomes examined. This program uses a chi-square test to determine whether the base composition of each sequence is identical to the average base composition of the whole alignment.
Mitochondrial genes of neodermatans are all encoded on the same strand. All calculations of base composition, skew etc used the strand reported in GenBank which is equivalent in sequence to the mRNAs of the various genes.
Skew is the unequal representation on a single strand of complementary bases such as G and C, something frequently reported from mt genomes (e.g. Saccone et al., 2002). Skew was estimated using the AT and GC-skew indices (Perna and Kocher, 1995) where:
AT skew = (A-T)/(A+T) and
GC skew = (G-C)/(G+C)
Values for the skew indices can range from -1 to +1. A value of zero indicates that A = T or G = C in frequency on the strand being analysed. A negative value for AT skew implies that T occurs more frequently than A, and so on.

RESULTS

Termination and initiation codons

The alignments of 3 gene-junctional blocks are presented in Fig. 1. These alignments comprise junctions between i) two protein-encoding genes (atp6 and nad2; Fig. 1A); ii) a protein-encoding gene and a tRNA gene (nad4 and trnQ; Fig. 1B); and iii) a tRNA and a protein-encoding gene (trnG and cox3; Fig. 1C). As seen in Fig. 1, the amino acid composition of the N-terminus of Atp6 (Fig. 1A) and Nad4 (Fig. 1B) as well as the C-terminus of Cox3 (Fig. 1C) are highly conserved. The C-terminus of Nad2 is less conserved across the range of species surveyed. The conservation of amino acid tracts strongly suggests that atp6 and nad4 can terminate at TAA and cox3 and nad2 may initiate at GTG. The stop codon for atp6 in Taenia crassiceps is discussed below.

Variation in gene length

The general features of the 12 protein-encoding genes are presented in Table 1. Lengths of the individual genes are very similar among closely related species (Table 1). The most striking exceptions are cox1 (encodes 510-609 aa) and cox2 (191-219 aa). Most of the length difference in the former is due to an insertion of about 60 codons near the 5' end in Schistosoma mansoni and in the latter to an insertion of about 20 codons near the 3' end in Schistosoma mekongi. Genes are particularly uniform in length among the cestodes (Table 1), perhaps partly due to the smaller phylogenetic range of cestodes sampled. Among the cestodes, most genes differ in length by 0-4 codons. However, cob in Hymenolepis diminuta is about 10 codons longer than in other cestodes and cox1 in H. diminuta and the G4 genotype (horse-dog strain) of Echinococcus granulosus is 10 or more codons shorter than in other cestodes. The lengths of most genes in cestodes are similar to those of the corresponding genes in trematodes. However, cob in cestodes is shorter than that found in the Asian schistosomes (355-365 aa in cestodes, compared with 371-372 in Asian schistosomes and 364-372 in other trematodes). The cox1 gene encoding 521-539 residues in cestodes is intermediate in length between that in the Asian schistosomes (547-549 aa) and other trematodes (510-511 aa for Fasciola hepatica and Paragonimus westermani, respectively). As mentioned above, S. mansoni has the longest cox1, encoding 609 residues.

Base composition and bias

Base compositions differ among the genomes examined (Table 2). When the DNA sequences of the concatenated protein-coding genes for all taxa were analysed using Tree-Puzzle, each differed significantly from the overall consensus. When S. malayensis (incomplete sequence available), P. westermani, F. hepatica and Taenia crassiceps (all with distinctive base compositions - Table 2) were omitted singly or together, the remaining sequences still differed significantly from the consensus.
Redundancy at the third codon position, especially at four-fold degenerate sites, means that sequences differing significantly in nucleotide frequencies may differ less when translated into amino acid sequences. This may also be expected because the greatest bias in base frequencies is usually observed at third codon positions (Saccone et al., 1999, 2002). However, Tree-Puzzle also rejected the hypothesis that inferred amino-acid composition is uniform across all species. Indeed, all species failed the test when all were included in a single test. Omission of single species, or groups of species, did not yield any cases where remaining species passed the test.
Numbers of each amino acid encoded by each mt genome are shown in Table 3. A 2x20 contingency table showed that many pairs of species differed significantly (5% level) from each other in amino-acid composition. Exceptions were comparisons among the three Schistosoma species and comparisons among the three species/genotypes of Echinococcus. The two Taenia species did not differ significantly from each other or from H. diminuta, a surprising finding given that they differed significantly from taeniids in the genus Echinococcus. Interestingly, S. mansoni (a trematode) did not differ significantly from Taenia solium (a cestode). This is not the only apparent example of convergence among our neodermatans. F. hepatica and P. westermani, two trematodes that are not closely related to one another (Cribb et al., 2001), did not differ significantly. It is clear that divergences and convergences are frequent at various taxonomic levels, including between the Trematoda and Cestoda.
Despite the fact that codon usage generally differs significantly among species, the common pattern of bias, with high frequencies of T, means that the same amino acids tend to be most commonly observed in all taxa (Table 3). Leucine is the most common amino acid in every case, followed by serine, valine and phenylalanine (not necessarily in that order). The least common amino acids are glutamine, histidine, lysine and arginine (Table 3), regardless of the base composition of the genome.
Skew in base composition clearly exists among the neodermatan mt genomes (Table 2, Fig. 2). For example, among the neodermatans, T is the most common base, often reaching a frequency of around 50% (with the notable exception of P. westermani). By contrast, A is usually present at around half this frequency. Table 2 shows the overall base composition of protein-coding genes of the available neodermatans, and also the percentage of each base occurring in the third codon position overall and the third codon position of fourfold redundant codons (FFR). In most neodermatans, the percentage of codons ending with C is no greater than about half the representation of C in the proteincoding genes overall. Particularly low values are noted for S. mekongi (0.9%) and S. malayensis (1% - but note that not all genes were available for analysis in this species) (Table 2). Only in P. westermani is C more represented in third codon positions (21.7%) than in protein-coding genes overall (17.9%). This species also has an unusually high representation of G in third codon positions. Usage of T in third codon positions is usually greater than its overall representation in protein-coding genes (Table 2). The only exception is P. westermani which has by far the lowest overall percentage of T. Similarly, A is under-represented in third codon positions in F. hepatica and P. westermani (Table 2).
Among neodermatans, skew values vary considerably. AT-skew is least in S. mansoni and greatest in F. hepatica (Fig. 2). GC-skew is least in P. westermani, reflecting the relatively high occurrence of C. The greatest GC-skews are seen in S. malayensis, S. mekongi and the Echinococcus species.

DISCUSSION

A first requirement in characterising genes is to determine where they start and end. ATG and TAG are regarded as the typical mt stop and start codons respectively in neodermatans. However, we have presented evidence (Blair et al., 1999; Le et al., 2000a) that TAA can also act as a stop codon and GTG as an alternative start codon in neodermatans (as reported for other metazoans: Wolstenholme, 1992). In this study, we have confirmed that these two codons (GTG and TAA) can act respectively to initiate and terminate a gene.
Using a similar approach, we have inferred that the initiation codon of cox1 in the cestode H. diminuta is GTT (Le et al., 2002b) (Table 1) thus agreeing with von Nickisch-Rosenegk et al. (2001). In the latter paper, the initiation codon for nad4 is stated to be ATT. However, an in-frame ATG is situated 6 codons further upstream and we regard this as the correct start codon.
Pairs of genes may overlap, leading to interpretive difficulties. For example, in T. crassiceps, the last A of the stop codon (TAA) of atp6 is shared with the ATG start codon in the following nad2 gene (Fig. 1A). The former could be interpreted as a truncated stop codon or as an actual overlap between two genes. Abbreviated stop codons (T or TA) are known from some metazoans (Wolstenholme, 1992). There is only one example of this among the neodermatans. In T. solium, nad1 ends with a T (Nakao, unpublished). Von Nickish-Rosenegk et al. (2001) suggested that cox1 in H. diminuta is terminated with such a codon (T). However, our later analysis including sequences from several other cestodes indicate that a normal stop codon (TAG) is present here in cestodes but this requires overlap with the downstream trnT (Le et al., 2002a).
Tree-Puzzle always rejected the null hypothesis of equal base or amino-acid composition. A partial explanation for this might be that Tree-Puzzle requires a minimum of four species before it will run the analysis, but we did not have four sufficiently close relatives to include. When only four taeniid cestodes, E. granulosus G1 (sheep-dog strain) and G4 (horse-dog strain) genotypes, E. multilocularis and T. solium were included, all failed the test, although marginally in the case of the E. granulosus G4 genotype and E. multilocularis.
Associated with codon bias is the phenomenon of skew (unequal representation on a single strand of complementary bases). A well-developed theory is available to explain this situation, at least in the case of mammals (Saccone et al., 2002). The asymmetric nature of mt replication means that one of the strands remains in a single-stranded state for relatively long periods. During this time it is prone to particular mutational changes, specifically a reduction in C and A on that strand and a corresponding increase in G and T. Skew is likely to be most pronounced at third codon positions, and especially at four-fold degenerate sites, where any mutational change is synonymous and not subject to selection pressure. Although little is known about the mode of mt replication in phyla other than vertebrates, an echinoderm and a few insects, base composition bias and strong skew are observed in many phyla (Saccone et al., 1999) including flatworms, suggesting that similar mechanisms may operate. As predicted by the theory outlined above, base composition bias and skew are most evident in third codon positions among neodermatans. The pattern observed among neodermatans is similar to that seen in vertebrates, with four-fold redundant sites showing the most extreme skew (Fig. 2). The main difference is that, among vertebrates, GC-skew has a negative value and AT-skew a positive value (Perna and Kocher, 1995). Nematodes and at least some molluscs exhibit negative AT-skew values and positive GC-skew values, as in neodermatans (Perna and Kocher, 1995). The sign of the skew value reflects only the strand being investigated: each strand will have the same value for each skew statistic, but with the opposite sign (Perna and Kocher, 1995).
Reyes et al. (1999) found that, among mammals, bias and skew were greatest in the regions of the mt genomes where the heavy strand was exposed as single-stranded for the longest time during replication. If the mode of replication in neodermatans is similar to that in mammals, we might expect the same pattern. Given that the locations of the origin(s) of replication are unknown in neodermatan mt genomes, and that they probably differ among taxa (as evidenced by the differing location of long non-coding regions (Le et al., 2002a), we did not feel able to explore this in detail. However, marked differences in skew and bias were noted among genes in a single neodermatan genome (data not shown) as reported by Reyes et al. (1999) for mammals. Analysis of sequences from additional neodermatan taxa may make it possible to infer the nature of the replication process.
Deviations in base composition (and amino-acid composition) among species will violate a basic assumption implicit in many algorithms used to infer phylogenies and can lead to construction of incorrect topologies (Foster and Hickey, 1999). Despite the considerable differences among neodermatan species in nucleotide sequences, and corresponding differences in amino-acid sequences, phylogenetic trees (not shown) inferred from either class of data recover the topology expected from the known systematic relationships among these taxa. This should not be taken as evidence that base composition differences will not affect tree topologies when sequences from a wider array of neodermatan taxa are added. All but two of the species included here fall into two relatively narrow but well-separated systematic groups (trematodes of the family Schistosomatidae and cestodes of the order Cyclophyllidea). Base composition differences would presumably have to be extreme to fail to recover these two groups. The two remaining trematodes, P. westermani and F. hepatica, which have similar base compositions, form a group elsewhere in the tree.
Previous studies have revealed that mt genomes of neodermatans are similar in most respects to those of other bilateral metazoans (Le et al., 2000a). However, these genomes vary considerably in the location(s) of long non-coding regions presumed to have a role in replication, and in the length and structure of these regions (Le et al., 2000a). There is also variation in gene order which, in African schistosomes, is very different from that of all other taxa sequenced to date (Le et al., 2001). Here, we have shown that there can be convergence as well as divergence in nucleotide, and hence amino acid, composition among taxa. A pattern is thus emerging of diversity in the mt genome in neodermatans that may cast light on evolution of mt genomes generally. Certainly, there is a need of data from additional neodermatan taxa, and from flatworms generally. Once these patterns are better understood, mt genome data can be put to practical use in evolutionary and population/species-level studies of important parasites such as the schistosomes (Le et al., 2000b).

Notes

This work was supported in part by Wellcome Trust (Ref: 068762) and by the National Health and Medical Research Council of Australia.

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Fig. 1
Alignments of the junctions between pairs of mt genes from selected flatworms to demonstrate that TAA can act as a termination codon and GTG as an initiation codon. A. atp6-nad2; B. nad4-trnQ and C. trnG-cox3 regions. Sequences encoding genes are highlighted. TAA and GTG codons are in bold and double-underlined. The typical initiation codon (ATG) is underlined; TAG (termination) is under-asterisked (*) where analysed. Dashes (-) indicate gaps inserted for alignment purposes. Supposed amino acid residues in tRNA and intergenic sequences are in italics. Slashes (//) show a long non-coding region encroaching between trnG and cox3 in F. hepatica and P. westermani. See text for genetic code analysis. Names of species as for Table 1.
kjp-42-159-g001.jpg
Fig. 2
Histogram showing AT-skew and GC-skew in concatenated protein-coding genes overall (minus start and stop codons) and at four-fold redundant (FFR) sites only.
kjp-42-159-g002.jpg
Table 1.
Characteristics of protein-encoding genes in the mitochondrial genomes of parasitic platyhelminthesa)
Genes Class Trematoda Class Cestoda
Sja Sme Sml Smn Fhe Pwe Tcr Tso Emu EgrG1 EgrG4 Hdi
atp6 ATG 172 ATG 173 ATG 173 ATG 173 ATG 172 ATG 170 GTG 170 ATG 171 ATG 171 ATG 170 ATG 170 ATG 171
TAA 519 TAA 522 TAG 522 TAG 522 TAG 519 TAG 513 TAA 513 TAA 516 TAG 516 TAG 513 TAG 513 TAG 516
cob ATG 371 ATG 372 ATG 372 GTG 364 ATG 370 ATG 372 ATG 357 ATG 355 ATG 355 ATG 355 ATG 355 ATG 365
TAG 1116 TAA 1119 TAA 1119 TAG 1095 TAG 1113 TAG 1119 TAA 1074 TAA 1068 TAA 1068 TAA 1068 TAA 1068 TAG 1098
cox1 GTG 547 ATG 549 ATG ATG 609 ATG 510 ATG 511 ATG 537 ATG 539 ATG 535 ATG 535 GTG 526 GTG 521
TAG 1644 TAA 1650 – – – TAG 1830 TAG 1533 TAG 1536 TAG 1614 TAG 1620 TAG 1608 TAG 1608 TAG 1581 TAG 1566
cox2 ATG 202 ATG 219 ATG 197 ATG 200 ATG 199 ATG 194 ATG 193 GTG 193 GTG 193 GTG 193 ATG 191
TAA 609 TAA 660 TAA 594 TAG 603 TAG 600 TAG 585 TAG 582 TAG 582 TAA 582 TAG 582 TAA 579
cox3 ATG 214 ATG 216 ATG 216 GTG 217 ATG 213 ATG 214 GTG 214 ATG 214 ATG 215 ATG 215 ATG 215 ATG 216
TAG 645 TAG 651 TAA 651 TAG 654 TAG 642 TAG 645 TAG 645 TAG 645 TAG 648 TAG 648 TAG 648 TAG 651
nad1 ATG 296 ATG 295 ATG 297 GTG 296 GTG 300 ATG 296 ATG 297 ATG 297 ATG 297 GTG 297 ATG 297 ATG 296
TAG 891 TAA 888 TAA 894 TAG 891 TAG 903 TAG 891 TAG 894 T 892 TAG 894 TAA 894 TAA 894 TAG 891
nad2 ATG 284 ATG 283 ATG 283 GTG 279 ATG 288 ATG 288 ATG 292 ATG 293 ATG 293 ATG 293 ATG 293 ATG 293
TAG 855 TAA 852 TAG 852 TAA 840 TAG 867 TAA 867 TAG 879 TAA 882 TAG 882 TAG 882 TAG 882 TAG 882
nad3 ATG 117 ATG 120 ATG 120 ATG 120 ATG 118 ATG 118 GTG 115 ATG 115 ATG 115 ATG 115 ATG 115 ATG 115
TAG 354 TAG 363 TAG 363 TAG 363 TAG 357 TAG 357 TAG 348 TAG 348 TAA 348 TAG 348 TAA 348 TAG 348
nad4 ATG 424 ATG 423 ATG 423 ATG 419 GTG 423 ATG 420 GTG 419 ATG 417 ATG 419 ATG 419 ATG 419 ATG 415
TAG 1275 TAA 1272 TAA 1272 TAA 1260 TAA 1272 TAG 1263 TAG 1260 TAG 1254 TAG 1260 TAG 1260 TAA 1260 TAG 1248
nad4L ATG 87 ATG 87 ATG 87 ATG 86 GTG 90 GTG 85 ATG 86 ATG 86 GTG 86 GTG 86 GTG 86 ATG 86
TAA 264 TAA 264 TAA 264 TAA 261 TAG 273 TAG 258 TAG 261 TAA 261 TAG 261 TAA 261 TAA 261 TAG 261
nad5 ATG 528 GTG 530 – – – ATG 527 GTG 522 GTG 527 ATG 522 ATG 522 ATG 524 ATG 523 ATG 523 ATG 524
TAG 1587 TAA 1593 TAG TAG 1584 TAG 1569 TAG 1584 TAA 1569 TAA 1569 TAA 1575 TAG 1572 TAA 1572 TAG 1575
nad6 ATG 152 GTG 153 ATG 149 ATG 150 ATG 150 ATG 150 ATG 150 ATG 151 ATG 151 ATG 151 ATG 152
TAG 459 TAA 462 TAA 450 TAG 453 TAG 453 TAA 453 TAG 453 TAA 456 TAG 456 TAG 456 TAA 459

a) In each cell, the predicted initiation codon is shown at the upper left, the termination codon at the lower left, the number of amino acids at upper right and the number of nucleotides at the lower right. Start codons other than ATG & TAA and stop codons other than TAG are shown in bold and underlined. Dashes (---) indicate the gene has not been fully sequenced (S. malayensis only). Trematodes - Sja: Schistosoma japonicum (Schistosomatidae, GenBank accession AF215860); Sme: S. mekongi (Schistosomatidae, AF217449); Sml: S. malayensis (Schistosomatidae, AF295106); Smn: S. mansoni (Schistosomatidae, AF216698); Fhe: Fasciola hepatica (Fasciolidae, AF216697); Pwe: Paragonimus westermani (Paragonimidae, AF219379). Cestodes - Tcr: Taenia crassiceps (Taeniidae, AF216699); Tso: Taenia solium (Taeniidae, AB086256); Emu: Echinococcus multilocularis (Taeniidae, AB018440); Egr: E. granulosus (Taeniidae, G1: genotype 1 (sheep-dog strain), AF297617 and G4: genotype 4 (horse-dog strain), AF346403); Hdi: Hymenolepis diminuta (Hymenolepididae, AF314223).

Table 2.
Overall protein-coding and 3rd codon position (all codons and four-fold redundant (FFR) codons) base usage among parasitic platyhelminthes
Species Base-compositiona)
Total bp usagec) Total codon Nod) Codon ending witha)
T C A G T+A T C A G
% % % % % All FFR All FFR All FFR All FFR
Trematodes
S. mansoni 45.6 8.2 23.3 23.0 68.9 10344 3448 47.6 51.8 4.2 4.3 27.1 24.1 21.1 19.7
S. japonicum 48.3 8.0 23.0 20.7 71.3 10218 3406 54.8 64.3 3.4 3.7 23.9 19.6 17.9 12.5
S. mekongi 48.4 6.7 24.3 20.6 72.7 10296 3432 56.0 65.9 0.9 1.2 25.5 21.0 17.5 11.9
S. malayensisb) 48.8 6.6 23.6 20.9 72.4 8145b) 2714 56.1 67.9 1.0 1.0 25.2 20.7 17.6 10.4
F. hepatica 49.4 9.6 14.2 26.8 63.6 10104 3368 57.2 67.8 4.6 5.5 9.9 6.7 28.3 20.0
P. westermani 38.3 17.9 13.2 30.6 51.5 10086 3362 34.1 35.4 21.7 19.4 7.1 6.7 37.1 38.5
Cestodes
T. solium 48.6 7.9 23.5 20.0 72.1 10092 3364 53.4 56.7 3.7 3.8 26.3 25.3 16.7 14.2
T. crassiceps 50.6 7.2 23.4 18.8 74.0 10095 3365 56.6 63.6 2.2 1.3 25.1 20.7 16.1 14.5
E. multilocularis 50.6 7.1 18.3 24.0 68.9 10098 3366 57.8 61.8 2.3 2.1 16.0 15.4 23.8 20.8
E. granulosus (G1) 49.9 7.6 16.8 25.7 66.7 10092 3364 56.3 58.7 3.4 4.0 12.6 11.1 27.7 26.2
E. granulosus (G4) 50.1 7.4 17.7 24.8 67.8 10065 3355 56.8 60.4 2.9 2.8 14.1 12.8 26.2 24.0
H. diminuta 47.4 9.5 23.7 19.4 71.1 10074 3358 50.7 52.1 6.0 5.1 26.7 25.8 16.6 16.9

a) Excluding start and stop codons.

b) Not all protein-encoding genes of S. malayensis are available for analysis.

c) Bases overlapping between nad4L and nad4 are counted twice.

d) Includes start and stop codons.

Table 3.
Numbers of each amino acid present in polypeptides encoded by mitochondrial genes of parasitic flatwormsa)
A C D E F G H I K L M N P Q R S T V W Y Totalb)
Sja 85 95 87 64 367 234 48 330 56 493 111 119 81 27 58 348 92 351 104 232 3382
Sme 78 102 82 68 342 234 55 352 66 496 117 123 82 24 55 354 87 348 100 243 3408
Smn 84 102 66 74 327 249 53 304 60 536 115 97 75 31 64 379 67 418 108 215 3424
Fhe 116 121 70 75 372 300 51 166 44 562 88 70 95 26 64 333 80 434 118 159 3344
Pwe 151 110 66 81 339 320 60 124 50 577 77 70 91 28 71 360 84 417 111 149 3336
EgrG1 80 149 80 65 398 243 50 199 42 507 82 97 69 25 50 338 89 464 97 216 3340
EgrG4 79 140 82 66 407 228 52 207 44 499 87 100 71 25 53 333 91 455 97 215 3331
Emu 82 148 76 63 418 236 49 221 43 499 82 106 71 24 51 344 88 436 93 212 3342
Tso 81 138 84 68 413 193 56 314 48 494 86 126 71 23 49 371 95 343 90 197 3340
Tcr 63 135 84 57 433 186 52 302 49 514 93 153 72 21 48 358 93 325 86 217 3341
Hdi 100 131 67 73 417 190 53 297 47 507 83 136 80 22 52 365 110 298 88 217 3333

a) Start codons omitted. Schistosoma malayensis was omitted because a full sequence was not available. Names of species as for Table 1.

b) Total numbers lie in a narrow range (3331-3424), so it was not felt necessary to also tabulate percentages of each.

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