Genome content and genome organization

The circular mt genome of P. subalpina strain UAMH 11012 is 43,742 bp long [GenBank: JN031566] with an AT-content of 72% and contains 21 open reading frames, 14 of which code for OXPHOS proteins (atp6, atp8, atp9, cox1-3, cob, nad1-6, nad4L; Figure 1). All 21 protein-coding ORFs are transcribed in the same direction and start with the canonical translation initiation codon ATG except cox1 (TTG) and cox3 (GTG). The preferred stop codon was TAA with the exception of nad3 and nad5 (both TAG). Beside the 14 OXPHOS genes, the ribosomal protein S3 (Rps3) and a GIY-YIG endonuclease were recognized. In addition, a putative N-acetyl-transferase with an Acetyltransf_1 domain at the C-terminus was predicted (Pfam Nr: PF00583, amino acid positions 361–526, E-value: 1.8E-23). blastp searches returned several hits for Acetylase_1 containing proteins in other ascomycetes. However, all of these proteins were located in the nuclear genome. Similarly, tblastn searches of the putative mt N-acetyl-transferase against a draft genome sequence of P. subalpina recognized two additional N-acetyl-transferases for P. subalpina but both nuclear proteins were substantially smaller (198 and 202 aa) than the predicted mt protein (579 aa). The functions of the remaining four ORFs are unknown because neither significant blastp hits nor conserved domains in interproscan searches were found. In addition, the large and small ribosomal RNA subunits (rns and rnl) were present in the mt genome. A number of 5,903 Roche/454 GS FLX (454) EST sequencing reads (total number of aligned bases: 1.89 Mbp) mapped to the mt genome. Reads almost exclusively mapped to coding regions of the mt genome (proteins and rRNA genes) and all ORFs except ORF_03 were partially or fully covered by ESTs. However, sequence coverage differed considerably among genes (see Additional file 1).

In total, 27 tRNA genes coding for all amino acids were predicted in the mt genome. Both software tools applied resulted in the same tRNA predictions except tRNA-Cys at position 5,363, which was only predicted by rnaweasel and tRNA-Asn at position 20,122 that was exclusively predicted by trnascan-se. A putative Ochre suppressor tRNA gene (antisense codon: UUA) was predicted by trnascan-se. Protein-coding genes covered 48.1% of the mt genome, while 4.7% and 11.8% correspond to tRNA genes and rRNA genes, respectively (total coding regions: 64.6%).

Duplication of a region including the atp9 open reading frame in PAC

A duplication of an mtDNA region including the atp9 open reading frame was observed in P. subalpina (Figure 1). Beside the atp9 ORF (225 bp), the duplication included 124 bp upstream of the start codon and 37 bp downstream of the stop codon of the atp9 ORF (total length of duplication: 386 bp). The duplication was interrupted by a 488 bp insertion (Figures 1 and 2). The putative ORF_01 (123 aa) shared the first 14 bp of the duplicated atp9 ORF but the remaining 358 bp of ORF_01 including the stop codon lie in the 488 bp insertion interrupting the duplication (Figure 2, bottom).

The presence of a duplication of the region including the atp9 ORF could be confirmed for all eight genomes at the nucleotide level (Figure 2). Three species had two non-interrupted ORFs for the atp9 gene (P. letzii, P. europaea, P. helvetica) with identical protein sequences for P. letzii and P. europaea. The two P. helvetica atp9 protein sequences deviate at two of the 74 aa positions between the two atp9 ORFs. All other species have either an insertion leading to ORF_01 (P. uotolensis, P. fortinii s.s., P. subalpina) or a deletion (P. turicensis) in one of the atp9 ORFs (Figure 2). Similarly, A. applanata possessed an insertion of 234 bp in one of the atp9 ORFs (Figure 2). The insert shows neither direct nor inverted repeats and did not show any similarities with known nucleotide or protein sequences using blastn and blastx searches.

Conservation of putative ORFs in PAC species

In order to collect further evidence that putative ORFs code for proteins, the conservation of these ORFs was investigated in seven additional PAC species. Unfortunately, repeated attempts to amplify the region of ORF_04 failed. In contrast, we could assess the presence and conservation of the other 3 putative ORFs observed in P. subalpina in the additional PAC species. ORF_02 was observed in all eight PAC species. Despite SNPs and indels, none of the indels resulted in frameshift mutations and no premature stop codons were present (see Additional file 2). In contrast, ORF_03 was either missing completely, contained stop codons, or the start codon was missing in five of the eight species. Similarly, ORF_01 was only present in three of the eight species and P. fortinii s.s. had a premature stop codon (Figure 2).

Evolution of gene orders in the Helotiales and Pezizomycotina

Anchored genome alignments for the three helotialean species P. subalpina, S. sclerotiorum and B. cinerea show pronounced genome rearrangements between P. subalpina and the closely related species S. sclerotiorum and B. cinerea (Figure 3). In contrast, complete synteny in gene order were evident between S. sclerotiorum and B. cinerea. Phylogenetic analysis based on 12 OXPHOS protein sequences (atp6, cox1-3, cob, nad1-6, nad4L) allowed for the identification of the four classes of filamentous ascomycetes (Figure 4, Table 2). Although the ML tree shows that the Dothideomycetes and Leotiomycetes share a most recent common ancestor with the Eurotiomycetes, the BS support value (53%) and bayesian PP value (0.55) for this placement are low. Therefore, alternative hypotheses such as Dothideomycetes and Leotiomycetes sharing a most recent common ancestor with the Sordariomycetes cannot be ruled out.

Based on this phylogeny, we have reconstructed putative ancestral gene orders and rearrangements leading to the contemporary gene orders of 14 OXPHOS proteins (atp6, atp8, atp9, cox1-3, cob, nad1-6, nad4L), Rps3, and rRNAs by using crex and treerex analysis (Figures 4A, B; see Additional file 3 for full input gene orders). Identical ancestral gene arrangements were observed in treerex analysis irrespective whether the Leotiomycetes and Dothideomycetes share the most recent common ancestor with the Sordariomycetes or the Eurotiomycetes (data not shown). The evolution of gene orders among species belonging to the Pezizomycotina was mainly characterized by transpositions (Figures 4A, C). In contrast, inversions and inverse-transpositions have not been found in the analysed gene orders, which excluded the two Dothideomycete species. However, the Dothideomycetes have genes that are in opposite orientation with respect to the remaining Pezizomycotina species. Moreover, both species were separated from all other Pezizomycotina species and by themselves by very long evolutionary scenarios rendering the reconstruction unreliable (Figure 4A). In our analysis, only one tandem-duplication-random-loss (trdl) event was suggested by crex analysis involving cob and cox1 to derive the gene order of S. sclerotiorum (Rearrangement 11 in Figure 4). blastx searches of cob and cox1 protein sequences against the mtDNA of S. sclerotiorum confirmed that a duplication-based rearrangement mechanism was involved because a partial cob fragment in front of cox1 was found as expected for the predicted operation (30 aa, E-value: 3.00E-09). Together with the duplication of atp9 for PAC species (see above) this indicates that duplication-based rearrangement are involved in mitogenome evolution of Pezizomycotina. The number of necessary events required to convert one gene order to the other was not always related to the phylogenetic distance between species. For example, gene orders of Podospora anserina and S. sclerotiorum could only be derived from gene orders of their closest relatives by evolutionary scenarios that include multiple transpositions and in the case of S. sclerotiorum a tdrl event.

Based on the used species and gene sampling our analysis indicates that i) the group of Beauveria bassiana (Group 1 in Figure 4) represent the ancestral gene order for the Sordariomycetes, i.e., no gene rearrangements are necessary to reach the node in the phylogenetic tree representing the Sordariomycetes. Similarly, Aspergillus niger (Group 8 in Figure 4) represents the ancestral gene order for the Eurotiomycetes. Furthermore, comparisons among the possible intermediate gene orders of the Sordariomycetes, Eurotiomycetes, and the reconstructed ancestral gene order of the Leotiomycetes indicates the intermediate position of the later (Additional file 4).

Evolution of mtDNA in PAC and searching regions for species diagnosis

A total of 7,350 bp (16.8% of the mt genome) from four regions of the mt genome were amplified in four additional PAC species to screen for polymorphisms (Table 3). Fragments included coding (cox1 rnl) and intergenic regions (Rps3- putative N-acetyl-transferase, atp9-nad1-nad4). High amounts of DNA polymorphisms were observed within coding and intergenic regions among PAC species (Additional file 5). However, DNA polymorphisms were not always evenly distributed among species within the sequenced DNA fragments. Whereas in three cases all five species contributed to a similar extent to the observed polymorphic regions (e.g. rnl), P. europaea was almost exclusively responsible for a peak in diversity observed in cox1 (data not shown). In addition, a 520 bp indel in the non-coding region spanning Rps3 and the putative N-acetyl-transferase showed a very high nucleotide diversity among the three species with this insert (P. europaea P. fortinii s.s., A. applanata) (Additional File 5). Based on these results three regions were selected and tested on a broader selection of strains. Parts of rnl (~730 bp), a fragment located between Rps3 and the putative N-acetyl-transferase (~850 bp), and a fragment including parts of nad1 and nad4 (~1,650 bp) were sequenced from 32 strains belonging to eight PAC species (Table 3). Best-fitting mutation models selected from jModeltest were F81 + I, TVM + G, TrN + G, and TPM3uf + I + G for the three individual loci and the concatenated dataset, respectively. Variation in the three fragments was considerable among and within species. Often single strains of a species were responsible for this high variation found within species (Figure 5). For example, strains 7_45_5, or T1_K92_131 were separated from the other strains of the respective species for all three loci resulting in 19 and 21 substitutions respectively, not considering indels. P. turicensis was the only species that was monomorphic for all three loci. ML and BI analysis using the concatenated dataset placed strains of each species in well-supported clades (Figure 7). In addition, the tree topology of each individual mtDNA locus and the concatenated mtDNA dataset did not deviate significantly from the topology of the concatenated sequences of four genomic regions sequenced previously [14] (Table 4). No evidence for recombination blocks among the three sequenced loci were found, although incompatible sites were regularly observed (data not shown). Incompatible sites were located within as well as between the three sequenced loci.

Gene content and mt organisation in P. subalpina

The mt genome of filamentous ascomycetes normally code for 14 proteins of the oxidative phosphorylation system [22], including the sequences for the large (rnl) and small (rns) ribosomal subunits. In addition, a varying number of additional proteins with homologies to known proteins, i.e., the ribosomal protein S3 (Rps3) [23, 24], and ORFs with unknown functions may be found [20, 23, 27]. The mt genome of P. subalpina follows this rule. All 14 OXPHOS proteins, the two rRNAs and a complete set of tRNA genes were present. Nevertheless, some unique features were observed. (i) A putative N-acetyl-transferase was predicted in the mt genome. To the best of our knowledge, this is the first report of a putative N-acetyl-transferase in the mt genome of ascomycetes. Acetyl-transferases modify proteins in eukaryotes, both co- and post-translationally by transferring acetyl groups from acetyl-coenzyme A to either the a-amino group of amino-terminal residues or to the e-amino group of lysine residues at various positions [30]. In addition, N-acetyl-transferases were shown to modify several ribosomal proteins in Escherichia coli[31, 32]. Although it seems likely that the putative mt N-acetyl-transferase is involved in protein modifications, the exact function is unknown because N-acetyl-transferases can act on different groups of substrates [30]. (ii) The ribosomal protein S3 (Rps3) formed a free-standing ORF in P. subalpina (Figure 1). To the best of our knowledge this is the second report of a free-standing Rps3 gene in the Pezizomycotina. In all completely sequenced mt genomes of filamentous ascomycetes possessing Rps3, this gene is placed in a group-I intron located in the U11 domain of the rnl except for Phaeospaeria nodorum[23, 24, 26, 33]. Whereas the Rps3 of P. nodorum is large (771 aa) and includes parts of cox1[34], Rps3 found in P. subalpina is similar in length as Rps3 found in S. sclerotiorum and other ascomycetes. In addition, blastp searches revealed no segments of other mt proteins. Rps3 followed cox2 in both species and sequencing of additional mt genomes in the Dothideomycetes and Leotiomycetes will show whether cox2 Rps3 synteny may be another common position of Rps3 in mt genomes. (iii) An Ochre suppressor tRNA gene was predicted. Suppressor tRNAs were found in the genomes of many species and allow the read-through of stop codons [35–37]. They provide a regulatory mechanism of gene expression allowing the production of several proteins from a single gene and were shown to be especially important for RNA viruses [38]. Moreover, suppressor tRNAs are hypothesized to play a role for the transcription of cryptic mitochondrial gene on the antisense strand [39, 40]. (iv) A duplication of a genomic region including the atp9 open reading frame interrupted by a 488 bp insert was observed in P. subalpina, leading to the annotation of ORF_0 1. Re-sequencing of the cox1-ORF_01-ORF_02-atp9-nad1 region for additional seven PAC species confirmed that three species have two intact ORFs coding for atp9. In all other species one of the two atp9 ORFs was interrupted by indels indicating that the duplication of the atp9 region followed by successive modifications predated the separation of PAC species. Interestingly, two types of sequences with no obvious similarity were found between cox1 and the duplicated atp9 regions for PAC species, which was reflected in the annotated gene features and was in accordance with the relatedness of the species. An exception was P. uotolensis strain 5_134_3, which showed a similar sequence and organisation as P. subalpina and P. fortinii s.s. In previous studies we showed for this strain that it might be the result of a hybridization event with P. subalpina. For example the same strain clustered with a P. subalpina strain for the sequence of the translation elongation factor 1-α [14] but three other nuclear loci, microsatellite analysis and single-copy RFLP analysis placed this strain with other strains of P. uotolensis[8, 14, 15].

Transcription of ORFs in the mt genome

Identification of mtDNA genes is no guarantee that they are also active, as was e.g. shown for a silent copy of the cox2 gene in the soybean mitochondrion [19, 41]. Mapping of 454 EST sequence reads showed that they were mostly restricted to ORFs and rDNA genes. All ORFs except ORF_03 were confirmed by ESTs. However, pronounced differences in the sequence coverage were observed. Several factors could explain the differences observed in the transcription profile of coding regions. Either the 454 sequencing protocol introduced non-uniform coverage in the normalized cDNA library [42] or the differences in the coverage reflect some differences in the expression of mt genes. Indeed, transcription of mt genes in the ascomycete Saccharomyces cerevisiae was shown to be far from uniform [43]. Future RT-qPCR assays for P. subalpina will show whether the observed differences in cDNA coverage reflect differences in expression profiles for mt proteins.

Do putative ORFs code for proteins?

Putative ORFs are regularly annotated in fungal genomes [20, 23, 27, 44]. However, whether they really code for proteins is rarely assessed. In the present study we used an indirect approach to gain additional evidence whether putative ORFs code for proteins. We assume that putative ORFs that code for a protein should (i) be transcribed, i.e., ESTs should match the respective regions and (ii) nucleotide sequences of the ORFs should be conserved among closely related species, in particular premature stop codons and frameshifts should not be detected. ORF_02 is an example of a transcribed and conserved ORF that most likely codes for a protein although blastp searches recognized no similar proteins in the NCBI database. In contrast, ORF_03 was either completely deleted or included premature stop codons in four species and the insert responsible for ORF_01 was only present in three species and included a frame-shift mutation in one of these species. Therefore, we hypothesize that ORF_01 and ORF_03 do not code for proteins because they are not universally conserved despite their (partial) transcription (see Additional file 1). However, definitive evidence that conserved and transcribed ORFs code for proteins is only given when the corresponding proteins are isolated [19].

Evolution of gene orders in filamentous ascomycetes

Phylogenetic analysis based on protein data of 12 OXPHOS genes resulted in a robust phylogeny with the exception of the Dothideomycetes and Leotiomycetes which clustered together, but their position was not resolved and it remained unclear whether they share the most common ancestor with the Sordariomycetes or the Eurotiomycetes. Indeed, several deep phylogenetic analysis based on nuclear genes and/or rDNA loci placed the Leotiomycetes in a cluster with the Sordariomycetes [43, 44]. To attribute for the uncertainty of the placement of Leotiomycetes, we analyzed the evolution of gene orders using both alternative hypotheses.

Gene orders were compared previously for some fungal orders [16, 45, 46] but no automated and formally well-defined approach was used to reconstruct the rearrangement history. crex is based on the notion of common intervals, which reflect genes that appear consecutively in the input gene orders. In addition, we used treerex resulting in a detailed reconstruction of the rearrangement history and our analysis revealed that the evolution of gene orders in filamentous ascomycetes is mainly driven by transposition events and that gene orders are (mostly) conserved for close relatives. The conservation of gene orders in close relatives was also shown in previous studies. For example, the transposition leading to the gene order of Verticillium dahliae (Rearrangement 3 in Figure 4) was confirmed in seven additional Verticillium species [16]. Similarly, 3 species closely related to A. niger (Aspergillus tubingensis Penicillium chrysogenum and Penicillium digitatum) were recently shown to have the same gene order as A. niger for the set of genes used in our analysis [47].

Gene order analyses were shown to be useful to confirm phylogenetic analysis in several organismal groups [45–49] and in the present study we show, that the extent of gene rearrangements reflects the phylogenetic position of a species in most cases. For example, the ancestral gene order of the Leotiomycetes was most closely related to the two ancestral gene orders of the Sordariomycetes and Eurotiomycetes based on the parsimonious rearrangement scenarios reconstructed by crex reflecting an intermediate position of the Leotiomycetes (see Additional File 4). This fits well with the results of the phylogenetic analysis showing that the Leotiomycetes could share the most recent common ancestor either with the Sordariomycetes or the Eurotiomycetes. However, two exceptions were observed. First, P. anserina deviated from N. crassa by several transpositions and the loss of the atp9 gene. Similarly, the two Dothideomycete species deviated from themselves and all other Pezizomycotina by complex rearrangement scenarios. It was possible to reconstruct the possible ancestral gene order for the Sordariomycetes and the Eurotiomycetes although the presented results must be regarded as preliminary because of the limited species sampling in particular in the Leotiomycetes and the exclusion of the tRNAs due to restrictions of the software tools used. Since tRNAs are important for understanding the evolution of gene orders [49, 50] the presented results need to be verified with a data set including the tRNAs.

Evolution of mtDNA in PAC species and suitability of mt markers for species diagnosis

The amount of variation found within PAC species was high, despite the fact that strains from most of the species were derived from a single study site (Table 3). Intra-species variability in the mt genome among species belonging to ascomycetes can vary greatly. Whereas mtDNA was highly diverse in many collections of filamentous ascomycetes [20, 51, 52], low levels of diversity were observed in M. graminicola for a world-wide collection of strains [27]. The high amount of variation in PAC species could be the result of genetic exchange among mt genomes. Although mt genomes were characterized by the absence of any genetic recombination in some studies [27] an increasing number of reports show recombination in mtDNA of plants and fungi [52–54]. Therefore, we searched for inconsistencies in our dataset to find evidence for recombination events. Although inconsistencies were observed among parsimony informative sites for PAC species, the inconsistencies occurred within loci as well as between loci and no recombination blocks were evident, indicating that rather parallel mutations than recombination characterize the evolution of the mt genome in PAC species.

Mt loci were often used as diagnostic markers in systematics. They received particular attention during barcoding campaigns [55] and were also successfully applied for fungal species diagnosis [18, 20, 56]. In the present study it was possible to analyze the resolution of mtDNA markers at a fine taxonomic level using a well-defined species complex. Several marker types were used to characterize cryptic species in PAC such as single-copy RFLPs, microsatellite markers and sequence markers [14, 15]. In the present study we show that two of the three examined mtDNA regions allow to distinguish all eight PAC species. Only one strain of P. uotolensis was misplaced using the sequence information of the partial rnl gene. The amount of variation found in three mt loci was high compared to nuclear loci sequenced previously [14]. For example, P. letzii and P. europaea have identical sequences for several nuclear coding and non-coding loci and were difficult to diagnose based on single-copy RFLP markers [14] but formed well supported monophyletic groups for all mt loci. So far, mating type idiomorphs were the only nuclear regions with a similar ability to distinguish PAC species [57]. However, a disadvantage of the mating type for species diagnosis is their heterothallic organisation in PAC species, which does not allow amplifying a single fragment for all strains. In this respect, mt markers developed in the present study offer advantages and mt loci can be regarded as useful diagnostic markers for PAC.

Sequencing the complete mt genome of Phialocephala subalpina

In the course of a genome sequencing project of P. subalpina strain UAMH 11012, an initial Roche/454 GS FLX (454) shotgun run was performed at the Functional Genomics Centre Zurich (FGCZ, Uni/ETH Zurich) and from that a draft of the circular mt genome of P. subalpina strain UAMH 11012 became available. The draft sequence was subdivided into 12 fragments (see Additional file 6) and amplified from strain UAMH 11012 using long-range PCR in 20 μl volumes (Expand Long Range dNTPack kit, Roche, Rotkreuz, Switzerland). PCR conditions were optimized for 4 kb fragments with high AT contents by lowering the temperature during the elongation step from 68°C to 62°C and an initial elongation time of 4 min. PCR fragments were purified using the Wizard Plus SV kit (Promega, Wallisellen, Switzerland) and sequenced at Microsynth (Balgach, Switzerland).

Annotation of the mt genome

Open reading frames (ORFs) in the mtDNA sequence of P. subalpina were searched with NCBI orf finder[58]. blastp[59] and interproscan[60] were used for homology-based function prediction of proteins. In addition, homologous regions of putative ORFs were sequenced for seven PAC species and sequences were analyzed for indels and SNPs resulting in frameshift mutations and/or pre-mature stop codons. The tRNA genes were predicted by trnascan-se v1.21[61] and rnaweasel[62] searches using default settings for mt genomes. The ribosomal RNAs were determined by comparison with sequences from other fungi using blastn. Group I and group II introns were predicted using rnaweasel[62]. Duplications in the mt genome were searched using the software dotter[63].

EST evidence for ORFs

Expression of ORFs was tested by searching for ESTs derived from a normalized EST library of strain UAMH 11012 sequenced on the 454 platform at FGCZ (Rémy Bruggmann, unpublished). Single 454 cDNA reads belonging to the mt genome were filtered using the software genomethreader[64] and the sequence coverage for each base in the mt genome was calculated (= number of reads covering a specific base in the genome).

Analyzing the duplication of the atp9 region in PAC species

A region between cox1 and nad1 included a duplication of the atp9 region in P. subalpina (see results). In order to test the presence of the duplication in other PAC species, the region between cox1 and nad1 was sequenced from additional 7 PAC species (Table 1). The entire locus was amplified using primers mtPF_F07_F27774 (TAGAGGTAATCAAACCAATG) and PF_cox1_F (AGCCCACCAAAACCTCATGC) using long-range PCR and sequenced as described above.

Evolution of gene orders in Pezizomycotina

In a first step, mt genome alignments for the helotialean species B. cinerea S. sclerotiorum and P. subalpina based on the publically available sequences were performed using the mauve 2.3.1 software [65] and locally collinear blocks identified by mauve were compared with the annotated gene features in P. subalpina. In a second step, the phylogenetic relationship among species belonging to the Pezizomycotina was analyzed using a concatenated protein dataset of 12 OXPHOS proteins (atp6 cox1-3 cob nad1-6 nad4L). Proteins coding for atp8 (48 aa) and atp9 (74 aa) are missing in one or more of the species included in the analysis (atp8: P. nodorum; atp9: P. anserina and P. nodorum) and we omitted these two genes in the phylogenetic analysis. The protein data set was aligned using mafft[66] and the mafft-homologues option was applied. The resulting alignment was trimmed in gblocks 0.91b[67] using default settings. Candida albicans served as outgroup in the phylogenetic analysis (see below).

In a third step, gene order of all 14 OXPHOS proteins, Rps3, and rRNAs (rns and rnl) was studied for 22 species in Pezizomycotina (Table 2) using crex[68] and treerex[69] analysis. A limitation that applies to most gene order analysis approaches, including crex and treerex is that they can only be applied to gene orders with an equal gene content with each gene appearing exactly once. Therefore, we had to exclude tRNA genes because the identification of homologous tRNA genes was hampered in our dataset due to gene losses and/or multiple occurrences of the same tRNA genes (see Additional file 7). Moreover, tRNAs are difficult to predict by the available tools as we have shown for P. subalpina (see Results), rendering them uncertain candidates for gene order analysis. An informal introduction to crex and treerex analysis as well as a detailed description of the performed gene order analysis is given in the Additional file 4. The Dothideomycetes were excluded from analysis because both species were separated from all other Pezizomycotina and by themselves by very long evolutionary scenarios including several inversion and tdrl events which makes the reconstruction unreliable. Similarly, the gene order of P. anserina was excluded since TreeREx cannot handle gene orders with unequal gene content (loss of atp9 in P. anserina). The scenario shown in Figure 4 is derived from the separate analysis of N. crassa and P. anserina considering the common genes only.

Searching regions for species diagnosis in PAC

The following strategy was applied to identify regions suitable for species diagnosis in PAC. In a first step, four fragments each between 1,200-2,800 bp long spanning coding and intergenic regions in the mtDNA were chosen (cox1 rnl nad1-nad4 Rps3- putative N-acetyl-transferase) and amplified in four additional PAC species (A. applanata P. fortinii s.s., P. helvetica, and P. europaea) including the phylogenetically most distantly related PAC species known to date (P. europaea and A. applanata) [14]. Coding regions were chosen because they were either shown to be suitable for species diagnosis previously [17] or have the potential to be used to diagnose also closely related species of PAC. In contrast, intergenic regions were chosen because they were shown to be highly polymorphic [20]. Nucleotide diversity for the five species was analyzed in dnasp v5.0[70] and sites[71]. Based on these results, one coding region (rnl) and two intergenic regions (nad1-nad4 Rps3- putative N-acetyl-transferase) were selected. These three loci were then tested on a broader collection of strains to study the evolution of mtDNA within PAC species and their suitability for species diagnosis. The dataset includes 32 strains belonging to 8 PAC species (Table 3). For primers used to amplify and sequence fragments see Additional file 8. Fragments were amplified in a 15 μl reaction volume using approximately 5 ng of template DNA. After an initial denaturation step for 2 min at 94°C, 31 cycles were performed each consisting of a denaturation step at 94°C for 30 s, an annealing step at 50°C for 30 s and an extension step at 60°C for 90 s [72] followed by a final extension step for 6 min at 72°C. Fragments were directly purified using an ExoSap protocol [15] and sequencing was conducted at the Genetic Diversity Centre (GDC, ETH Zurich). The nucleotide sequences of each locus were aligned with Clustal W separately and the resulting data matrices were then concatenated into one combined data matrix and subjected to phylogenetic analysis.

Phylogentic analysis

Phylogenetic trees were inferred using Bayesian inference (BI) and maximum likelihood (ML) methods for the protein and nucleotide dataset. ML analysis for the protein dataset was performed in treefinder[73] using the substitution model selected by protest[74]. ML analysis for nucleotide datasets were performed in paup[75] using the substitution model selected by jmodeltest v1.0[76]. Branch supports were provided by 1,000 bootstrap replicates for both datasets. BI trees were calculated with mrbayes 3.1[77] for protein and nucleotide datasets by running two analyses each consisting of two simultaneous runs with four heated chains per run. Each analysis was run for 5 Mio generations and trees were sampled every 100 generations. Post-burn-in was assumed when the average standard deviation of split frequencies was consistently ≤ 0.01. Post-burn-in trees were collected and the parameter and topology summarizations calculated. To ensure that the analyses reached stationarity and converged on the same topology and likelihood scores, the resulting likelihoods, tree topologies and model estimates were compared by eye.

The tree topologies derived from the nucleotide data sets (each single locus and the concatenated alignment) were compared with tree topologies from the concatenated sequences of four genomic regions (b-tubulin elongation factor 1-α pPF_018 and pPF_076) sequenced previously [14] using the approximately unbiased (AU) and the weighted Shimodaira and Hasegawa (WSH) tests [29]. Only one strain (type strain) per species was included to compare tree topologies. Both tests were calculated in treefinder using 10,000 replicates. In addition, a compatibility matrix of nucleotide substitutions was constructed using the software Sites[71] to search for possible recombination blocks in the datasets.