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. 2021 Mar 22;17(3):e1009448. doi: 10.1371/journal.pgen.1009448

Recent loss of the Dim2 DNA methyltransferase decreases mutation rate in repeats and changes evolutionary trajectory in a fungal pathogen

Mareike Möller 1,2,¤,*, Michael Habig 1,2, Cécile Lorrain 1,2, Alice Feurtey 1,2, Janine Haueisen 1,2, Wagner C Fagundes 1,2, Alireza Alizadeh 3, Michael Freitag 4, Eva H Stukenbrock 1,2,*
Editor: Ksenia Krasileva5
PMCID: PMC8016269  PMID: 33750960

Abstract

DNA methylation is found throughout all domains of life, yet the extent and function of DNA methylation differ among eukaryotes. Strains of the plant pathogenic fungus Zymoseptoria tritici appeared to lack cytosine DNA methylation (5mC) because gene amplification followed by Repeat-Induced Point mutation (RIP) resulted in the inactivation of the dim2 DNA methyltransferase gene. 5mC is, however, present in closely related sister species. We demonstrate that inactivation of dim2 occurred recently as some Z. tritici isolates carry a functional dim2 gene. Moreover, we show that dim2 inactivation occurred by a different path than previously hypothesized. We mapped the genome-wide distribution of 5mC in strains with or without functional dim2 alleles. Presence of functional dim2 correlates with high levels of 5mC in transposable elements (TEs), suggesting a role in genome defense. We identified low levels of 5mC in strains carrying non-functional dim2 alleles, suggesting that 5mC is maintained over time, presumably by an active Dnmt5 DNA methyltransferase. Integration of a functional dim2 allele in strains with mutated dim2 restored normal 5mC levels, demonstrating de novo cytosine methylation activity of Dim2. To assess the importance of 5mC for genome evolution, we performed an evolution experiment, comparing genomes of strains with high levels of 5mC to genomes of strains lacking functional dim2. We found that presence of a functional dim2 allele alters nucleotide composition by promoting C to T transitions (C→T) specifically at CpA (CA) sites during mitosis, likely contributing to TE inactivation. Our results show that 5mC density at TEs is a polymorphic trait in Z. tritici populations that can impact genome evolution.

Author summary

Cytosine DNA methylation (5mC) is known to silence transposable elements in fungi and thereby appears to contribute to genome stability. The genomes of plant pathogenic fungi are highly diverse, differing substantially in transposon content and distribution. Here, we show extensive differences of 5mC levels within a single species of an important wheat pathogen. These differences were caused by inactivation of the DNA methyltransferase Dim2 in the majority of studied isolates. Presence of widespread 5mC increased point mutation rates in regions with active or mutated transposable elements during mitosis. The mutation pattern is dependent on the presence of Dim2 and resembles a mitotic version of Repeat-Induced Point mutation (RIP). Thus, loss of 5mC may represent an evolutionary trade-off offering adaptive potential at the cost of transposon control.

Introduction

DNA methylation is an important process for epigenetic regulation, and functions range from dynamic control of gene expression to transposon silencing and the maintenance of genome integrity [1,2]. Although DNA methylation has been detected on both cytosines and adenines in eukaryotes, cytosine DNA methylation (5mC) has been the focus of most studies so far. In mammals, cytosine methylation is mainly found in “CpGs” (cytosine followed by guanine; here abbreviated CG), while non-CpG methylation (CHG or CHH, where H is any nucleotide other than G) is commonly detected in plants and fungi [3,4]. Various DNA methyltransferases (DNMTs) are involved in the establishment and maintenance of DNA methylation but the distribution and number of enzymes involved is highly variable in different kingdoms [5]. In mammals and plants, enzymes of the DNMT1/MET1 class are maintenance methyltransferases that detect hemi-methylated DNA sequences, for example after replication [68]. De novo methyltransferases, like DNMT3a and DNMT3b in mammals [9] and DRM in plants [10] act on sequences that are free of methylation, presumably by recognition of specific motifs or patterns [9,11]. Although DNMTs are often classified as maintenance or de novo enzymes their function is not necessarily limited to one or the other [12,13].

In fungi, four classes of DNMTs have been identified. Basidiomycetes have DNMT1 homologs that appear to be classical maintenance DNMTs [4,14]. In the ascomycete Neurospora crassa, DNA methylation is mediated by a single enzyme, DIM-2 [15]. While the conserved DIM2 class of enzymes shows limited sequence similarity to DNMT1/MET1 maintenance DNMTs, it is a class specific to fungi [16]. Other fungal proteins resembling DNMT1 include Ascobolus immersus Masc1 and N. crassa RID [17,18], involved in “Methylation Induced Premeiotically” (MIP) or “Repeat-Induced Point mutation” (RIP), respectively [17,19]. DNMT5 enzymes constitute a more recently discovered class of maintenance DNMTs in fungi [20,21]. So far, the presence of 5mC in fungi has been mainly associated with repetitive DNA, suggesting a role in genome defense by silencing of transposable elements (TEs). There is little or no evidence that 5mC is also found in coding sequences to influence gene expression [22], although there are examples of promoter methylation [23,24].

A previous study demonstrated amplification of dim2, a gene encoding the homolog of N. crassa DIM-2, which was predicted to result in mutation and thus inactivation by RIP in the genome of the plant pathogenic fungus Zymoseptoria tritici [25]. For example, the genome of the reference isolate IPO323 carries 23 complete or partial, nonfunctional copies of dim2; all alleles show signatures of RIP, namely numerous C:G to T:A transition mutations. Consequently, 5mC was not detected by mass spectrometry in IPO323 [25]. However, the amplification of dim2 must have occurred recently as two closely related sister species of Z. tritici, Zymoseptoria ardabiliae and Zymoseptoria pseudotritici were shown to carry a single intact dim2 gene and have 5mC [25].

Population genomic analyses have revealed high levels of genetic variation within and between populations of Z. tritici [2628]. This variation is generated by high mutation and recombination rates and by extensive gene flow. Notably, a dynamic landscape of transposable elements in this fungus has been associated with rapid evolution, not only in Z. tritici, but also in sister species [29,30]. Moreover, a recent study demonstrated a pervasive effect of recurrent introgression between closely related species of Zymoseptoria [31]. These interspecific hybridization events are evident from the presence of highly diverged alleles that are maintained over evolutionary time within species.

By genome analyses of multiple Z. tritici isolates from the center of origin of the pathogen, the Middle East, we discovered several Z. tritici isolates with an intact dim2 gene. Our findings suggest that the loss of de novo 5mC not only occurred very recently but is an ongoing process and polymorphic trait in Z. tritici. Here, we address the evolution and function of dim2 in the Zymoseptoria species complex. We show that the presence of an intact and functional dim2 in some Z. tritici isolates corresponds to widespread 5mC in TEs. Integration of a functional dim2 allele into a dim2-deficient background restores methylation of previously non-methylated regions. Using comparative genomics and experimental evolution we show that loss of dim2 and thus 5mC affects nucleotide composition of TEs by influencing mutation rates at CA sites.

Results

The dim2 DNA methyltransferase gene is functional in several Z. tritici isolates

Based on previous findings reporting a recent inactivation of dim2 in the Z. tritici reference isolate IPO323 [25] we carefully inspected the genomic locus in different isolates to characterize the extent of mutational events in different genomes. We identified a non-truncated dim2 gene in an Iranian Z. tritici isolate, Zt10, and set out to investigate its recent evolution in the Zymoseptoria species complex in a much larger collection of genome sequences than previously [25] available. We used BLAST to search for the sequence of dim2 in 22 high-quality assemblies obtained by SMRT sequencing of Z. tritici (Fig 1) [3235], as well as 17 genomes of Z. ardabiliae, and nine genomes of Z. brevis (S1 Table), both closely related sister species of Z. tritici and considered to be endemic to Iran. We detected a single dim2 homolog in each of the Z. ardabiliae and Z. brevis genomes but found multiple mutated and presumably non-functional copies of dim2 in 17 out of 22 Z. tritici genomes (Fig 1). Five Z. tritici isolates contained one presumably functional, non-mutated copy of dim2, often in addition to multiple mutated, non-functional copies, except for isolate Zt469, which contained one functional dim2 gene and no additional copies. For the purpose of this study, we consider dim2 alleles intact and ‘functional’ when they do not contain pre-mature stop codons or frameshift mutations, even though some SNVs may generate missense mutations. In contrast, ‘non-functional’ alleles contain numerous mutations including pre-mature stop codons that are predicted to abrogate protein function. Actual methylation activity was tested in selected strains by assaying cytosine methylation in vivo.

Fig 1. Overview of sampling location, year, host plant, and presence of a functional dim2 DNA methyltransferase gene of Z. tritici isolates analyzed in this study.

Fig 1

Aegilops sp., wild grass in Triticeae; Triticum aestivum, bread wheat; T. turgidum durum, Durum wheat. *non-functional but only recently mutated native dim2 gene.

Zt469 was isolated from Aegilops sp., all other isolates were collected from wheat. Four of five isolates with functional dim2 are from Iran (Zt10, Zt11, Zt289, Zt469) [32,36], and one is from Tunisia (TN09, collected from durum wheat) [32]. We further tested whether presence of a non-mutated dim2 allele is commonly found among Iranian isolates. Twelve additional isolates from Iran (S1 Table) were assayed by PCR and Sanger sequencing and in all cases, we confirmed presence of an intact dim2 allele. A region of chromosome 6 of IPO323 had been previously identified as the native dim2 locus; all additional, non-functional copies are located in subtelomeric regions embedded in repetitive DNA [25]. Consistent with this idea, we found that all non-mutated dim2 genes were located at the predicted native locus on chromosome 6 (Fig 2A and S2 Table). Throughout this study, we refer to dim2 in the original locus on chromosome 6, functional or non-functional, as the ‘native’ gene or allele; dim2 copies outside the native locus are referred to as ‘non-native’ or ‘additional’ alleles.

Fig 2. Sequence comparisons of dim2 alleles in Z.

Fig 2

tritici isolates. (A) Mutations of dim2 in original and ‘deRIPed’ alleles identified by alignment to the functional allele of Zt469. Shown are all native alleles (located on chromosome 6) and one representative non-native, additional copy per isolate. Native alleles (functional and non-functional) lack mutations in the DNA methyltransferase domain that are present in all non-native alleles, except for isolates OregS90 and CRI10. (B) Pairwise sequence comparison of the native, intact dim2 allele from Zt469 with all full-length native and additional dim2 sequences (see S2 Table). No additional dim2 copies were detected in the genome of Zt469 (from Aegilops sp.) whereas all other isolates (from Triticum spp.) have additional copies of dim2. Non-native, additional copies (black dots) in the isolates with functional or recently mutated dim2 (except for UR95) showed higher sequence diversity compared to those with inactivated dim2, where alleles at the native locus (yellow triangle) are amongst the more diverged copies. This supports the idea that this is the ancestral, now heavily mutated allele of dim2. Alleles or isolates are arranged in the same order in panels A (top to bottom) and B (left to right).

Analysis of Z. tritici dim2 alleles reveals multiple cycles of recombination and inactivation

Previously, gene amplification of the native dim2 allele followed by RIP had been suggested as the most likely cause for the apparent lack of 5mC in the Z. tritici IPO323 genome [25,37]. We here conducted a detailed analysis of mutations within native and non-native dim2 genes in the Z. tritici genomes and found some unexpected patterns.

As previously reported, non-functional copies of dim2 contain numerous transition mutations as a consequence of RIP, thus to compare sequences of native and additional (non-native) copies we “deRIPed” mutant copies by reverting C→T and G→A transitions using the functional dim2 from Zt469 as reference, because it likely represents one ancestral allele. We found that all non-native alleles share a specific pattern of transition and, surprisingly, transversion mutations in the DNA methyltransferase domain that are not found in the vast majority of native dim2 genes (Figs 2A and S1A and S2). Transversions are not a consequence of RIP [38,39], thus a mixture of transitions, transversions, and deletions suggests that dim2 was mutated not simply as a result of amplification of the native gene followed by widespread RIP, as originally proposed [25]. Rather, integration of a different dim2 allele (hereafter called ‘transversion allele’) of unknown origin into subtelomeric regions is likely to have resulted in subsequent gene amplification, RIP and presence of multiple non-functional, non-native dim2 copies. The presence of the same transversion mutations in all additional copies indicates that this allele may have resulted from a single integration event in an ancestral Z. tritici isolate. In support of this hypothesis, we found that the flanking regions of the additional, but not the native, copies share homology and are annotated as retrotransposons, suggesting that integration and amplification of non-native copies may have been TE-mediated. The TEs that are found in the flanking regions of most of the additional dim2 copies belong to the LINE family.

While this idea explains events at subtelomeric integrations sites, we also identified two isolates in which the native dim2 gene on chromosome 6 shares the specific transversion mutations in the DNA methyltransferase domain, OregS90 and CRI10 (from the USA and Czech Republic, respectively) (Fig 2A). The native OregS90 dim2 is truncated and surrounded by TEs and the native dim2 of CRI10 lacks mutations in the 3’ region that are present in all additional, but not native, copies.

Five native dim2 genes have a shared deletion in the 5’ region that is not found in any of the additional copies, and a 27-bp insertion at the end of the reading frame. The 5’ deletion results in a 99–109 amino acid in-frame deletion and not in any known functionally important domains, while the ill-conserved C-terminus is extended by nine amino acids (S3 Fig). These results suggest that distinct functional dim2 alleles are present, and given the previously identified signatures of introgression in Z. tritici genomes [31] we consider that these different dim2 alleles at the native locus may reflect separate integration events that have been directed by sequence identity. In summary, our analyses revealed that gene amplification followed by RIP alone is insufficient to explain the distribution of variant dim2 alleles in Z. tritici isolates.

To further investigate the evolutionary history of dim2 in Z. tritici isolates, we compared the sequence identity of the non-mutated dim2 gene from Zt469 to all other, native and additional, copies of dim2 in the 22 Z. tritici genomes (Fig 2B). Gene amplification followed by RIP predicts that by accumulating transition mutations all copies should become quite similar to each other; RIP becomes less efficient or stops when sequence identity between alleles drops to ~80% [38]. Instead, our analyses revealed that 18/21 isolates showed two distinct patterns, the first matching the prediction because isolates lacking functional dim2 showed higher levels of DNA sequence identities (85–95%) between native and additional alleles (Fig 2B and S2 Table; red, “non-functional”, pattern 1). Here, all copies have suffered repeated RIP cycles, and all copies are non-functional. When, however, a functional, native dim2 allele is present, the additional copies show lower DNA sequence identities (84–88%), likely reducing RIP efficiency and preventing the functional allele from being inactivated. The functional alleles are almost identical (>96%) to the Zt469 allele (Fig 2B and S2 Table; dark blue, “intact”, pattern 2; Zt10, Zt289, Zt11, TN09). This second pattern was unexpected; the most parsimonious explanation is replacement of non-functional alleles at the native locus with novel dim2 alleles, perhaps by recombination with wild grass infecting isolates, such as Zt469. Introgression events between Zymoseptoria species have recently been described [31] and wild grass infecting Z. tritici isolates, sister species and wheat infecting Z. tritici populations co-exist in the same geographical regions in the Middle East [40].

We discerned a third group of three isolates, which suggests that repeated cycles of transposon- or recombination-mediated amplification of dim2 alleles are still ongoing (Fig 2B and S2 Table; light blue, “recently inactivated”, pattern 3; YEQ92, ISY92, UR95). YEQ92 and ISY92 contain non-functional dim2 alleles at the native locus that are still similar (96 and 92%, respectively) to the functional dim2, suggesting a more recent inactivation of dim2 in these isolates. All additional, subtelomeric copies have low sequence identities as in the second pattern described above. UR95 has two recently mutated dim2 alleles, one at the native locus (Zt469 allele) and one in the subtelomeric region on chromosome 8 (transversion allele); both are non-functional alleles but contain relatively few mutations and are still similar to the functional dim2 allele (>90%) suggesting recent integration and inactivation. In summary, our findings suggest that there are multiple functional alleles of dim2 at the native locus present in the Z. tritici population. One group of alleles is derived from the Zt469 allele, a second group contains the “fingerprint” of the transversion allele when compared to the Zt469 allele and a third group contains the 5’ deletion. All alleles exhibit some degree of variation in terms of synonymous, non-synonymous mutations, and INDELs but none of these mutations affect sites that are known to be essential for protein function indicating that all of these alleles may likely encode functional proteins (S3 Fig).

Integration of a functional dim2 allele at the native locus restores 5mC in Zt09

To assess the role of dim2 in DNA methylation we generated mutants in which we either restored or deleted dim2. We integrated the functional dim2 gene of the Iranian Zt10 isolate into the native dim2 locus of Zt09 (derived from reference isolate IPO323) by selecting for hygromycin resistance, conferred by the hph gene, generating the strain Zt09::dim2. In Zt10, we replaced the functional dim2 gene with hph, generating the strain Zt10Δdim2. Integration or deletion of the dim2 alleles were verified by Southern analyses (S4 Fig). To test whether dim2 affects growth or infection, we compared the mutant and respective wild-type strains under different in vitro conditions as well as during host infection. We did not detect any differences between wild-type and mutant strains in vitro (S5 Fig) but integration of the functional dim2 in Zt09 resulted in a small but significant reduction in necrosis and asexual fruiting body formation (measured as number of asexual fruiting bodies, pycnidia, per leaf area) in planta (S6 Fig). We therefore conclude that presence of dim2 is dispensable under the tested in vitro conditions and that re-integration of dim2 into the Zt09 background decreases virulence in planta. We note that restoring DNA methylation in Zt09 after absence of dim2 for likely thousands of generations does not necessarily reflect the influence that DNA methylation may have in Z. tritici under normal conditions. Deletion of dim2 in Zt10 did not have significant immediate impact on virulence; this needs to be further addressed in long term studies.

To validate the presence of 5mC and to compare patterns between isolates and mutants, we performed whole-genome bisulfite sequencing (WGBS). We sequenced three replicates of each wild-type isolate (Zt09 and Zt10) and mutant strain (Zt09::dim2 and Zt10Δdim2). As a control for the bisulfite conversion rate, we added Lambda DNA to each sample; based on this, the bisulfite conversion rate was >99.5%. To confirm the WGBS sequencing results, we performed an additional independent bisulfite conversion, amplified target regions by PCR, cloned and sequenced the fragments, and we performed Southern blot analyses using 5mC-sensitive and -insensitive restriction enzymes (S7 Fig).

We detected high numbers of methylated cytosines in isolates with functional dim2 alleles, i.e., the wild-type Iranian isolate Zt10 and Zt09::dim2. Surprisingly, we also detected low levels of 5mC in the absence of dim2, i.e., in Zt10Δdim2 and Zt09, which had been missed by mass spectrometry in earlier studies [25]. While on average ~300,000 sites in Zt10 and ~400,000 sites in Zt09::dim2 showed 5mC in the presence of dim2, only ~12,000 (Zt09) and ~40,000 (Zt10Δdim2) 5mC sites were found when dim2 was absent (Fig 3A). In all strains, 5mC was restricted to previously annotated TEs and adjacent non-coding regions (Fig 3A). We did not find evidence for gene body or promoter methylation, except for few TE-derived genes. By correlating the 5mC data with previously published histone methylation maps [41] we found that 5mC co-localizes with H3K9me3 marks (Fig 3B). This finding is consistent with observations in N. crassa, C. neoformans, and Arabidopsis thaliana [21,4245].

Fig 3. Localization and site preferences of cytosine methylation in Z.

Fig 3

tritici genomes in presence and absence of dim2. (A) Number of 5mC methylated sites detected by whole genome bisulfite sequencing (WGBS) in TEs, intergenic regions, or genes. The vast majority of methylated sites are localized in TEs followed by intergenic regions and TE-derived genes. (B) 5mC co-localizes with H3K9me3 and TEs in Zt09. Shown are ChIP-seq tracks for H3K4me2, H3K27me3 and H3K9me3 [41], and 5mC sites detected in a representative region on chromosome 9 in the genomes of Zt09 and Zt09::dim2 (three replicates). (C) Genome-wide 5mC levels in the different isolates and respective mutants. 5mC levels are higher in the presence of a functional dim2, and dim2 is required for all non-CG methylation. (D) 5mC levels and site preferences in TEs. CG sites are preferred, followed by CA, and CC. 5mC is almost completely absent from CTs.

We next analyzed the specific context of DNA methylation. In strains without functional dim2, we found 5mC exclusively in CG contexts (genome wide ~0.2% in Zt09 and ~1% in Zt10Δdim2; percentage based on all Cs in the genome). In the presence of dim2, cytosines in CG as well as CHG and CHH contexts were methylated. Genome wide, ~5 or 6% of CGs and <1% of CHGs or CHHs were methylated in Zt10 or Zt09::dim2, respectively (Fig 3C). In sequences annotated as TEs, however, up to 60% of all CGs were methylated (Fig 3D). Methylation of CGs occurred most frequently (~43%, ~61%), but we also detected methylation at CAs (~10%, ~22%), and to lesser extent at CCs (~3%, ~8%), in Zt10 or Zt09::dim2, respectively. At CTs, there was hardly any detectable methylation (<0.01%; Figs 3D and S8). This was surprising, as CTs are the most abundant CH dinucleotides in TEs while CAs are the least abundant sites in TEs of both Zt09 and Zt10 (S3 Table). This suggests a strong site-specific preference of Dim2 for CAs but not CTs in Z. tritici. We furthermore calculated methylation levels (number of 5mC reads/position) and found that 5mC levels and overlap of 5mC sites between replicates are highest in Zt09, where only very few CpG sites are maintained (S9 Fig). Zt10Δdim2 shows high variability of 5mC site positions and methylation levels between the three replicates (independent transformants) indicating that 5mC sites are nearly randomly and progressively lost after dim2 deletion. Zt10 and Zt09::dim2 both have comparable methylation levels that are consistent between replicates (S9 Fig).

Upon integration of a functional dim2 allele in Zt09 we found that overall 5mC levels were higher when compared to Zt10 (compare Fig 3C, left- and right-most panels) and CG methylation levels in Zt10Δdim2 were higher compared to Zt09 (compare Fig 3C, two middle panels). One possible explanation for higher methylation levels in the Zt09::dim2 strain is that upon integration of dim2, a high number of sites are methylated but then reduced by selective conditions. This may occur after several rounds of infection and prolonged growth until a balanced level of 5mC sites is achieved, as found in Zt10. It is also possible that methylation levels differ between isolates and may depend on the abundance of different TE families that vary in terms of methylation density. Our findings suggest that in the absence of the de novo DNA methyltransferase Dim2, 5mC levels decrease significantly over relatively short evolutionary time spans (< 12,000 years, after speciation of Z. tritici [36]).

DNA methylation can be maintained in absence of dim2

We next asked how 5mC can persist in the genome of Z. tritici in the absence of a functional dim2 gene. The presence of CG methylation in isolates without dim2 suggested the presence of an additional DNMT. Thus, we searched for putative DNMT coding regions in the genomes of Z. tritici, Z. ardabiliae, and Z. brevis with the conserved DNMT domain of Dim2 as query in a BLASTp search. In all genomes, we found two additional predicted DNMTs (S11 Fig). One is similar to Dnmt5 of Cryptococcus neoformans [20] (dnmt5, Zt_chr6_00685), the other is a homolog of N. crassa RID [17] (rid, Zt_chr5_00047; manually corrected gene annotation) [46]. Genes for Dnmt5 and Rid are present in all Zymoseptoria spp. genomes we analyzed. The dnmt5 alleles are highly conserved and show very little inter- or intraspecies diversity (S1B Fig). In contrast, rid shows an exceptionally high inter- and intraspecies diversity with three highly distinct alleles present in Zymoseptoria spp. (S1C Fig). This diversity may stem from introgression events between Zymoseptoria species as recently described for highly variable regions in the genome of Z. tritici [31]. However, presence of the different rid alleles does not correlate with presence of a functional dim2 gene in Z. tritici.

RID and its homolog Masc1 in Ascobolus immersus are involved in genome defense during pre-meiosis [17,18]. Although Masc1 is presumed to be a de novo DNMT acting during the sexual cycle of A. immersus [18], there are still no enzyme activity data available for either Masc1 or RID. In contrast, Dnmt5 has been characterized as a 5mCG maintenance DNMT in C. neoformans [20,21] and is thus the most likely candidate for maintenance of 5mC at CG sites that we observed here. Dnmt5 is moderately expressed during infection of wheat in both, Zt09 and Zt10, while the expression levels of rid are very low consistent with its known role in pre-meiotic, and not mitotic, stages (S10 Fig) [17]. Further studies will address the role of Dnmt5 in maintenance and impact on 5mC in Z. tritici.

Presence of dim2 impacts nucleotide composition and activity of TEs

DNA cytosine methylation is correlated with increased C→T mutation rates [47,48]. In Z. tritici and most other fungi [22], 5mC is enriched in TE sequences. To evaluate whether the presence of dim2 impacts sequence composition of TEs, we analyzed TE sequences in isolates with and without a functional dim2 gene. Therefore, we extracted TE sequences, calculated dinucleotide frequencies relative to the TE content for each genome (S3 Table), and visualized the difference in relative frequencies of specific dinucleotides in TEs in the different isolates by correspondence analysis. We found that isolates lacking functional dim2 have more CA/TG sites within TEs compared to isolates with functional dim2 (Fig 4A and 4B). Conversely, isolates with functional dim2 contain more TA sites in TEs (Fig 4A and 4B). Two isolates with recently inactivated dim2, ISY92 and YEQ92, show the same pattern as isolates with functional dim2 but UR95, with two recently inactivated copies, groups with isolates lacking functional dim2. Based on the presence of additional dim2 copies with relatively high sequence identities in UR95 (Fig 2B), we propose that integration of a functional dim2 may lead to rapid inactivation by RIP. Thus, grouping of UR95 with the ‘non-functional’ isolates can be explained by limited Dim2 activity before inactivation of the gene by RIP, a prediction that will be tested in future studies. CA/TG sites are the least frequent sites in TEs, while TA sites are the most abundant. We observed the same pattern (i.e., increased number of TA sites) when we included the sister species Z. ardabiliae (Za17) and Z. brevis (Zb87) and the more distantly related barley pathogen, Z. passerinii (Zpa63), all of which contain a single, functional dim2 (Fig 4B and S3 Table). This pattern is only detectable in TEs, not in the rest of the genome (S3 Table).

Fig 4. Impact of Dim2 on nucleotide composition and TE activity.

Fig 4

(A) and (B) Correspondence analyses showing differences in dinucleotide (2mer) frequencies in TEs of different Z. tritici isolates (A) and other members of the Zymoseptoria species complex (B). TA and CA/TG dinucleotide frequencies have the highest impact on the observed differences between isolates and species, indicated by their relative positions on the dimension 1 versus dimension 2 plot. Isolates (even from different species) containing a functional dim2 (Zt10, Zt289, Zt11, Zt469, TN09, Zb87, Za17, Zpa63) and recently mutated dim2 (ISY92 and YEQ92) have higher TA content and cluster together, while isolates without functional dim2 have higher CA/TG frequencies in TE sequences. (C) Comparison of TE and GC content between different Z. tritici isolates and Zymoseptoria species with and without functional dim2. D) Number of expressed TEs during the time course of wheat infection is significantly higher in Z. tritici isolate Zt09 (non-functional dim2) compared to Zt10 (functional dim2) (Fisher’s Exact Test for Count Data, p-value < 2.2 x 10−16).

Accelerated mutation rates in TEs may impact TE activity, so we next determined the TE content of the various Z. tritici isolates and compared it to that observed in other Zymoseptoria species (Fig 4C). Isolates with functional dim2 had slightly lower TE content than those lacking dim2 (mean of ~16.2% vs. ~18.7%, respectively; Fig 4C) but TE content in other Zymoseptoria species, all with functional dim2, was higher than in many Z. tritici strains. Thus, there is no simple or clear correlation between TE content and de novo 5mC activity. GC content of TEs, however, is considerably lower in isolates with functional dim2 and two isolates with recently mutated dim2, ISY92 and YEQ92, further indicating that Dim2 impacts nucleotide composition (Fig 4C).

The TE content of a genome does not necessarily reflect the activity of TEs, as these sequences may be relics, i.e., mutated and thus inactivated TEs. We therefore assessed whether TEs in Zt09 and Zt10 contained annotated, transposon-related genes as a putative indicator for the presence of active TEs. In Zt09, 56 genes completely overlap (>90% of the sequence) with annotated TEs. Among those, we identified 30 transposon- or virus-related genes encoding for endonucleases, transposases, ribonucleases, and reverse transcriptases, or genes encoding virus-related domains (S4 Table). In contrast, we did not detect any fungal genes overlapping TEs in Zt10. We did find homologs of some of the transposon-associated genes of Zt09 in the genome of Zt10, but they all contained numerous transitions resulting in mis- and nonsense mutations. This indicates that Zt09 contains active TEs whereas homologous elements are inactivated in Zt10.

Lastly, we compared the expression of TEs in Zt09 and Zt10 during the time course of infection by analyzing previously published RNA-seq data [35]. We computed transcripts per million (TPM) originating from TEs in both the biotrophic and necrotrophic phases of infection and considered a TE expressed when TPM was > 0. While ~21% of TEs produced RNA in Zt10, ~35% of TEs were transcribed in Zt09 (Fig 4D) indicating that silencing of TE loci is less pronounced in Zt09 where dim2 is non-functional.

Dim2 promotes C→T transitions at CAs during mitosis

The difference between CA/TG and TA site abundance in genomes with and without functional dim2 suggests that the mutation rate, specifically for C→T transitions, is affected by the presence of 5mC. To address whether Dim2 plays a role in promoting these mutations, we conducted a one-year evolution experiment that included the Iranian isolate Zt10 (functional dim2) and the reference isolate IPO323 (non-functional dim2, isolate Zt09 is a derivate of IPO323). This was a mutation accumulation experiment on cells that were dividing by mitosis without competition or selection. Each ancestral isolate was propagated as 40 independent replicates. After 52 weeks (corresponding to ~1,000 mitotic cell divisions) the genomes of 40 evolved replicate strains per isolate and the progenitor isolates were sequenced to map SNPs. We found that the mutation rate in Zt10 was more than tenfold higher than in IPO323, on average ~170 vs. ~13 mutations per replicate (Fig 5A and S5 Table). The vast majority of mutations in Zt10 (> 95%) occurred in 5mC regions (S6 Table) and > 95% of all mutations were C→T transitions, while only ~32% of all mutations in IPO323 were C→T transitions. In Zt10, > 98% of the C→T transitions occurred at CAs (vs. ~21% in IPO323) (Fig 5B). This was a surprise, because the majority of methylated sites are at CGs. Our findings suggest the presence of a dim2-dependent mechanism that specifically targets and mutates CA/TG but not CGs in sequence repeats during mitosis. Such a mutator resembles the hitherto undescribed but much looked-for mitotic version of RIP.

Fig 5. Number and site preferences of SNPs in isolates with functional (Zt10) and non-functional (IPO323*) dim2 after one year of mitotic growth.

Fig 5

(A) Detected number of SNPs in the 40 replicates of each isolate. The number of SNPs in Zt10 replicates is significantly higher compared to IPO323 (Wilcoxon rank sum test, ***p-value < 0.001). The vast majority of mutations are C to T transitions. (B) Sequence context of the mutations in the two tested isolates. The SNPs of all replicates were pooled for this analysis. C→T transitions are predominantly found in a CA context resulting in CA to TA (or GT to TA) mutations. CG sites, although preferentially methylated, are not mutated at high rates. *Isolate Zt09 is a derivate of IPO323.

Discussion

Our study of the DNA methyltransferase dim2 in the fungal pathogen Z. tritici reveals an exceptional extent of intra species polymorphism that has functional and genetic implications. Although it has been reported that 5mC is absent in Z. tritici [25], we found that some isolates contain a functional Dim2 de novo 5mC methyltransferase. We present evidence that loss of most 5mC is quite recent; we found that 5mC is not completely absent in Z. tritici, even when there is no functional Dim2; and we discovered a Dim2-dependent mutator phenomenon. The majority of isolates in which we identified non-mutated dim2 genes originated in Iran, previously shown to be the center of origin of Z. tritici [36]. The closely related sister species Z. ardabiliae and Z. brevis were collected in Iran as well and are considered to be endemic to this region [40,49]. We found only one Z. tritici isolate (Zt469) that did not carry any additional dim2 copies. This isolate was collected from Aegilops sp., also in Iran. We propose that the original state of the native dim2 locus has been maintained in the two sister species and Z. tritici isolates collected from wild grasses. Even functional dim2 alleles show sequence polymorphisms, i.e., transitions and in-frame deletions (between <10–100 aa in non-conserved regions), respectively. Thus, all available data suggest that dim2 gene amplification, recombination events, and RIP have been specific to wheat-infecting Z. tritici isolates.

Here, we found contradicting evidence to a previous hypothesis, suggesting that the mutated dim2 copies in IPO323 and similar strains arose by gene duplications of the native dim2 followed by transposon-mediated movement to subtelomeric regions and RIP [25]. Instead, non-functional subtelomeric dim2 copies show patterns of increased transversion mutations specifically in the region coding for the DNMT domain. Such patterns are not an expected outcome of RIP. Instead, we consider interspecific hybridization and introgression between distinct lineages with different dim2 alleles. Our findings also suggest that there are at least three groups of functional dim2 alleles at the native locus in the extant Z. tritici population. One group is derived from or similar to the Zt469 allele, a second group of alleles contains a 5’ deletion and a third group is enriched with “transversions” when compared to the Zt469 allele. Two strains, OregS90 and CRI10, had non-functional “transversion alleles” at the native locus and we propose that both may be derived by secondary integration events. Isolate UR95 contains numerous non-functional copies but also two more recently mutated alleles, one 5’ deletion and one transversion allele, both non-functional. This indicates that intact and thus presumably functional copies of these alleles are present in Zymoseptoria populations. The current set of genomes did not reveal a functional “transversion allele” at the native locus or subtelomeric region, but we identified a putative functional copy in WAI329, an Australian Illumina-sequenced isolate [50]. A likely scenario for repeated invasion and inactivation cycles predicts that some wild grass infecting isolates carried “transversion alleles” that were not mutated. Gene amplification or TE-mediated recombination coupled to RIP resulted in numerous non-functional alleles. Our data suggest recombination between isolates with transversion alleles in ectopic loci, which may have induced RIP of the native dim2 allele because of high sequence similarity outside of the DNMT catalytic domain, thus resulting in non-functional dim2 alleles only, and therefore absence of de novo DNMT activity. This is consistent with the previously reported signatures of re-current introgression in Z. tritici [31]. Further analyses of diverse Z. tritici isolates from different hosts and geographical locations (T. aestivum, Triticum durum, or Aegilops sp.) are needed to track the evolutionary history of the dim2 gene in the Zymoseptoria species complex.

The previous study on dim2 suggested absence of 5mC based on liquid chromatography coupled with electrospray ionization tandem mass spectrometry (ESI–MS/MS) [25]. This finding is consistent with the low levels of methylation we discovered in strains lacking Dim2 activity. Based on recent results obtained in studies with Cryptococcus we hypothesize that this low level of 5mC has been maintained by the single homologue of Dnmt5 [20,21] after the loss of Dim2. This DNMT acts as a maintenance DNMT but does not catalyze de novo DNA methylation [21]. In the absence of a de novo DNMT, DNA methylation is likely to decrease over time as any loss of 5mC cannot be restored. This idea is supported by our finding that 5mC levels are higher upon deletion of dim2 (Zt10Δdim2) compared to Zt09, where dim2 was likely inactivated thousands of generations ago.

Sequence repeats are the predominant targets of DNA methylation in fungi [15,22,51,52], and 5mC enrichment is correlated with genome defense mechanisms that act to silence transposons [1]. We found that nucleotide composition in TEs differs between isolates and species that have functional or non-functional dim2 alleles. CA sites, the preferred target sites of Dim2 in addition to CGs, are reduced in frequency when Dim2 is present. TA sites, however, are more frequent when Dim2 is present. This links increased C→T transition frequency to the presence of functional Dim2. Spontaneous deamination of 5mC also yields C→T transitions [48], giving rise to accelerated mutation rates at 5mC sites, a well-known phenomenon [53]. Correlation of decreased C:G to T:G transitions in absence of the DNA methyltransferase CMT3 was recently shown in plants [54]. However, the observed differences in dinucleotide frequencies in Zymoseptoria and the high rate of C→T transitions in the evolution experiment suggest a role of Dim2 and 5mC in the generation of mutations. The mutations occurring throughout the evolution experiment specifically affected CAs but not CGs. If mutations resulted from spontaneous deamination, we would have expected a greater effect on CGs because they have higher 5mC levels. Lack of Dim2 resulted in complete loss of 5mC at CAs and therefore reduced CA to TA mutation frequencies. We also did not observe a noticeable difference of CG site abundance between isolates with or without functional Dim2, suggesting that non-CG 5mC (mediated by Dim2) is the main driver of the C→T transitions we observed. This suggests that, although repetitive regions are a shared target for DNMTs in different fungal species, distinct target sites of 5mC may correlate with the sequence composition of repetitive regions and the presence of other proteins involved in the 5mC pathway.

What is the underlying mechanism for the reduced CA to TA mutation frequency in absence of functional dim2? The best-known process causing C→T transitions in fungi is RIP, which occurs during pre-meiosis after fertilization but before karyogamy [38,39]. While RIP depends largely on the presence of the putative DNMT, RID [17], DIM-2 has also been suggested to be involved in RIP in N. crassa [19]. Thus, we propose that the absence of Dim2 may also play a role in the efficiency and rate of RIP in Z. tritici. Mechanistic studies are still lacking to address this question because crosses with engineered strains are difficult to carry out.

There is little precedence for a mutator process that generates CA to TA mutations and acts during vegetative growth in any eukaryote, the type of mutator uncovered by our evolution experiment. In N. crassa, RIP acts preferentially on CAs [19,39,55], and DIM-2 preferentially methylates CTs [22]. Presence of Z. tritici Dim2 yields non-CpG 5mC preferentially at CAs and increases C→T mutations. Essentially, the dim2-dependent phenomenon described here resembles what is expected for a mitotic version of RIP. We do not know yet whether Dim2 is directly involved in this mechanism and whether Rid may also play a role. However, functional alleles of rid are present in all strains we analyzed in the evolution experiment, and in all species examined so far rid is expressed solely during the sexual cycle [17]. Experiments with bacterial DNMTs uncovered inherent mutator activity under appropriate environmental conditions (e.g., low concentrations of the methyl donor, S-adenosylmethionine [SAM], or AdoMet) or when specific point mutations (e.g., in the SAM-binding motif) were generated [5661]. Another possible mechanism may involve differences in DNA repair efficiency, so that CG sites are more efficiently repaired compared to CA sites. Hemi-methylation of mutated CG sites could hereby aid in strand recognition and mismatch repair as suggested for mammalian cells [62]. Our ongoing studies are directed towards uncovering functional sequence motifs in Dim2 and examining growth conditions that increase or decrease the novel mutator phenotype.

Why are presence of widespread 5mC and differences in mutation rates polymorphic traits in this fungal pathogen? In several fungal species, 5mC is completely absent or methylation levels are very low [22,6365] raising the question about the importance of 5mC in terms of genome defense and evolution. While silencing or inactivation of TEs protects genome integrity and stability, it may limit the adaptive potential in response to changing environmental conditions. Transposon-mediated genome diversity, gene or even chromosome copy number variations are frequently found in fungal pathogens, and they form a crucial aspect of rapid evolution [6669]. Here we uncovered a system that suggests continuing loss and re-acquisition of the ability to silence or inactivate TEs in the genomes of numerous isolates of an important plant pathogen, Z. tritici. The finding that dim2 is absent in most isolates outside the center of origin suggests that loss of dim2 is adaptive for survival in agricultural environments. Nevertheless, in the center of origin, functional dim2 copies are re-acquired and maintained, suggesting that 5mC is important under certain environmental conditions. The efficiency and abundance of DNA methylation and mutations may therefore represent an evolutionary trade-off between genome integrity and adaptive potential.

Materials and methods

Fungal isolates and growth conditions

All Zymoseptoria spp. isolates used in this study (S1 Table) were cultivated at 18°C in YMS (4 g yeast extract, 4 g malt, 4 g sucrose per 1 L, 20 g agar per L for plates) medium. Cultures for DNA extraction and plant infection experiments were inoculated directly from the -80°C glycerol stocks and grown in liquid YMS medium at 200 rpm for 5 days (DNA extractions) and in pre-cultures (3 days) and main cultures (2 days) for plant infections.

SMRT sequencing and assembly of Iranian isolates Zt289 and Zt469

High molecular weight DNA was extracted as previously described [70]. Library preparation and PacBio sequencing was performed at the Max Planck Genome Center in Cologne, Germany (https://mpgc.mpipz.mpg.de/home/) on a Pacific Biosciences Sequel II. One SMRT cell was sequenced per genome. Genome assemblies were performed as described [71]. In brief, genomes were assembled de novo using the SMRT Analysis software v.5 (Pacific Bioscience) using default and “fungal” parameters. The assembly quality was determined using Quast [72] and the assembly with the best quality used for further analyses. Genome assembly statistics are summarized in S7 Table.

Identification of TEs and analysis of TE expression

We annotated transposable elements with the REPET pipeline (https://urgi.versailles.inra.fr/Tools/REPET) [73] as described in [71]. Briefly, we identified repetitive element consensus sequences in each genome using TEdenovo following the developer’s recommendations [73]. We used each library of consensus sequences to annotate genomes using TEannot with default parameters. To evaluate TE activity we analyzed expression in planta using RNA-seq data of Z. tritici isolates Zt10 and Zt09 [35]. First, raw sequencing reads were quality filtered and trimmed using Trimmomatic (v0.36) [74] and mapped to the respective genome using hisat2 (v2.2.0) [75]. Reads were trimmed using the following parameters: LEADING:30 SLIDINGWINDOW:4:30 AVGQUAL:30 MINLEN:50. After mapping, the resulting aligned read files were used to assess read counts for each stage and replicate (with a total of two replicates per stage). The read count table was generated using TEcount function of the TEtranscript pipeline with the following parameter: -mode multi [76]. Briefly, TEtranscript pipeline counts both uniquely and multi-mapped reads mapped to annotated transposons and genes to attribute transcript abundance. A given TE was considered transcribed only if reads mapped all along the element length, in order to avoid redundancy [76]. Levels of expression were calculated using Transcript per Million (TPM) normalization which corresponds to the normalization of read counts with transposon (or gene) length per million. We considered a TE as ‘expressed’ if TPM > 0.

Sequence identification and comparison of DNA methyltransferases

All analyzed genomes and isolates used in this study are listed in S1 Table and originate from the following studies [3136,40,49,71,7782]. We identified homologs of dim2 using the predicted ‘deRIPed’ protein sequence of Z. tritici IPO323 [25] as a template. To compare the sequence identity between active and inactive dim2 copies in the genome, we used dim2 of isolate Zt469 as a reference and performed pairwise comparisons. To identify additional putative DNA methyltransferases, we used the DNA methyltransferase domain of the Dim2 protein as query for a BLAST search against the Z. tritici genomes. BLAST searches, phylogenetic trees and alignments were performed using Geneious ‘Blast’, Geneious ‘Alignment’ and Geneious ‘Map to reference’ (Geneious version 10.2.4 (http://www.geneious.com, [83]). A distance tree based on the nucleotide sequence of dim2, rid and dnmt5 was generated with the following settings: alignment type: global alignment with free end gaps, cost matrix: 65% similarity, genetic distance: Jukes-Cantor, tree build method: neighbor joining, outgroup: Zymoseptoria passerinii (Zpa63).

Generation of dim2 deletion and integration strains

We transformed the Z. tritici isolates Zt09 and Zt10 using an Agrobacterium tumefaciens-mediated transformation (ATMT) protocol as previously described [84]. Briefly, we created plasmids containing the integration (pES189) or deletion (pES188) constructs using Gibson assembly [85] (S8 Table). Both constructs contained the hygromycin resistance cassette as selection marker. Plasmids were amplified in E. coli TOP10 cells and sequenced to confirm correct assembly of the constructs followed by electroporation of A. tumefaciens strain AGL1. Zymoseptoria tritici strains were transformed with the respective A. tumefaciens strains by co-incubation for 3–4 days at 18°C on induction medium. Following co-incubation, the strains were grown on selection medium containing hygromycin to select for integration of the constructs and cefotaxime to eliminate A. tumefaciens. Single Z. tritici colonies were selected, streaked out twice and the correct integration of the construct was verified by PCR and by Southern blot analyses (S4 Fig).

Bisulfite treatment and sequencing

We extracted high molecular weight DNA of three biological replicates of Zt10 and Zt09 and three independent transformants of Zt10Δdim2 and Zt09::dim2 as described previously [70]. Genomic DNA was sent to the Max Planck Genome Centre in Cologne, Germany (https://mpgc.mpipz.mpg.de/home/) for bisulfite treatment and sequencing. Lambda DNA was used as spike-in (~1%) to determine conversion efficiency. Genomic DNA was fragmented with a COVARIS S2 and an Illumina-compatible library was prepared with the NEXTflex Bisulfite Library Prep Kit for Illumina Sequencing (Bioo Scientific/PerkinElmer, Austin, TX). Bisulfite conversion was performed using the EZ DNA Methylation Gold Kit (Zymo Research, Irvine, CA). Illumina sequencing was performed on a HiSeq3000 machine with paired-end 150-nt read mode (S9 Table).

To confirm bisulfite sequencing results, we treated genomic DNA of the fungal strains and, as a control for conversion efficiency, the Universal Methylated DNA Standard (Zymo Research) (~100 ng) with bisulfite using the EZ DNA Methylation-Lightning Kit (Zymo Research) according to manufacturer’s instructions. Two representative loci per fungal strain and the human MLH1 for the control were amplified by PCR (ZymoTaq PreMix, Zymo Research) using specifically designed primers for amplification of the bisulfite-treated DNA (designed using the ‘Bisulfite Primer Seeker’ (Zymo Research), S8 Table). PCR products were cloned using the TOPO TA kit (Thermo Fisher Scientific) and Sanger sequenced (Eurofins Genomics, Ebersberg, Germany). Analysis of sequenced bisulfite-converted DNA sequences was performed using Geneious software version 10.2.4 [83].

Data analysis of whole genome bisulfite sequencing data

A list of software and input commands used in our analyses is provided in the S1 Text.

Reads were quality filtered using Trimmomatic (v0.36) [74] and subsequently mapped using Bismark (v0.20.0) [86]. Duplicate reads were removed. Methylated sites were extracted using the bismark_methylation_extractor applying the–no_overlap and CX options. We considered sites methylated, if at least 4 reads and ≥ 50% of reads supported methylation. We then extracted these sites (see S1 Text) in CG, CHG or CHH contexts for further analysis. Bedtools (v2.25.0) [87] was used to correlate methylation and genomics features.

Southern blots to detect DNA methylation and confirm dim2 mutant strains

To detect presence or absence of 5mC, we performed Southern blots according to standard protocols [88]. Genomic DNA was extracted using a standard phenol-chloroform extraction method [89]. The same amount of DNA and enzymes (BfuCI, DpnI, DpnII; 25 units, New England Biolabs, Frankfurt, Germany) was used as input for the different restriction digests to make restriction patterns comparable between enzymes and Z. tritici isolates for the detection of DNA methylation. Probes were generated with the PCR DIG labeling Mix (Roche, Mannheim, Germany) following the manufacturer’s instructions and chemiluminescent signals were detected using the GelDoc XR+ system (Bio-Rad, Munich, Germany).

Phenotypic assay in vitro

Spores were diluted in water (107 cells/mL and tenfold dilution series to 1,000 cells/mL) and three μL of the spore suspension dilutions were pipetted on plates and incubated for ten days. To test for responses to different stress conditions in vitro, YMS plates containing NaCl (0.5 M and 1 M), sorbitol (1 M and 1.5 M), Congo Red (300 μg/mL and 500 μg/mL), H2O2 (1.5 mM and 2 mM), methyl methanesulfonate (0.01% and 0.005%) and two plates containing only YMS were prepared. All plates were incubated at 18°C, except for one of the YMS plates that was incubated at 28°C.

Phenotypic assay on wheat

Seedlings of the wheat cultivar Obelisk (Wiersum Plantbreeding BV, Winschoten, The Netherlands) were pre-germinated on wet sterile Whatman paper for four days under normal growth conditions (16 h at light intensity of ~200 μmol/m-2s-1 and 8 h darkness in growth chambers at 20°C with 90% humidity) followed by potting and growth for an additional seven days. Marked areas on the second leaves (30 leaves per strain) were inoculated with a spore suspension of 107 cells/mL in H2O and 0.1% Tween 20. Mock controls were treated with H2O and 0.1% Tween 20 only. 23 days post inoculation, treated leaves were analyzed for infection symptoms in form of necrosis and pycnidia. Evaluation was performed by assigning categories for necrosis and pycnidia coverage to each leaf (categories: 0 = 0%, 1 = 1–20%, 2 = 21–40%, 3 = 41–60%, 4 = 61–80%, 5 = 81–100%).

Gene expression analysis

Expression of dnmt5 and rid in Zt09 and Zt10 as well as of dim2 in Zt10 was analyzed using previously generated in planta and in vitro RNA-seq data [35,41]. In planta data refers to the previously characterized morphological wheat infection stages: (A) infection establishment, (B) biotrophic growth, (C) lifestyle transition, (D) necrotrophic growth and reproduction [35]. In vitro data reflects growth of Zt09 in liquid YMS medium at 18°C and 200 rpm [41]. In brief, reads were quality filtered and trimmed as described in [35] and mapped to the respective Z. tritici genomes [37,71] using hisat2 v2.2.0 [90]. Relative abundance of transcripts for all Zt09 and Zt10 genes [46,71] was calculated in RPKM using Cuffdiff2 v2.1.1 [91].

Analysis of dinucleotide frequencies

TE sequences were extracted from the genome using bedtools getfasta [87]. k-mer frequencies in annotated TEs and masked genomes were determined using the software jellyfish (version 2.3.0) [92]. Correspondence analyses were carried out and visualized in R [93] using the packages "FactoMineR" (v2.3) and "factoextra" (v1.0.7) [94].

Mutation accumulation experiment and SNP analysis

A single colony derived directly from a plated dilution of frozen stock for Zt10 or IPO323 was resuspended in 1 mL YMS including 25% glycerol by 2 min vortexing on a VXR basic Vibrax at 2000 rpm, and 10–50 μL were re-plated onto a YMS agar plate. Forty replicates were produced. Cells were grown for 7 days at 18°C until a random colony (based on vicinity to a prefixed position on the plate) derived from a single cell was picked and transferred to a new plate as described above. The transfers were conducted for one year (52 times) before the DNA of a randomly chosen colony of each replicate was extracted and sequenced. Sequencing and library preparation were performed at the Max Planck Genome Center in Cologne, Germany (https://mpgc.mpipz.mpg.de/home/). Sequencing was performed on an Illumina HiSeq2500 machine obtaining paired-end 250-nt reads (S9 Table). Paired-end reads were quality filtered (Trimmomatic v0.38), mapped (bowtie2 v2.3.5) and SNPs were called using samtools (v1.7) mpileup (see S1 Text).

Supporting information

S1 Fig. Phylogenetic trees of DNA sequences encoding the dim2, dnmt5, and rid genes.

(A) Phylogenetic tree based on alignments of “deRIPed” dim2 alleles to the native, functional gene of Zt469. The Z. tritici dim2 is distinct from the Z. brevis and Z. ardabiliae gene. The native Z. tritici copies, except for OregS90 and CRI10, and non-native copies form distinct clusters. Shown are two representative “deRIPed” non-native copies per isolate. (B) Dnmt5 is present in all analyzed genomes and shows relatively little inter- or intraspecies diversity. (C) The rid gene shows an exceptionally high inter- and intraspecies diversity with three highly distinct alleles present among genomes of Z. tritici, Z. ardabiliae and Z. brevis. Green background indicates Z. tritici, blue Z. ardabiliae, yellow Z. brevis. Z. passerinii is used as an outgroup.

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S2 Fig

Alignment of original (A) and ‘deRIPed’ (B) full-length (> 3000 bp) dim2 alleles compared to the functional allele of isolate Zt469. All native copies, (functional and non-functional, except for OregS90 and CRI10) lack mutations in the DNA methyltransferase domain (position ~2,300–3,500) that are present in all non-native copies suggesting that the additional copies did not emerge from amplification of the native dim2. Black lines indicate differences to the reference.

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S3 Fig. Protein alignment of eight known or presumed functional and two de-RIPed, non-functional alleles.

(A) Cartoon of complete protein coding sequences. The conserved domains detected by homology searches are indicated above the alignment (BAH, Bromo-Adjacent Homology domain). The top four alleles (Zt467, Zt468, Zt469, Zt471) were identified in strains isolated from Aegilops, all others were isolated from wheat. Alleles from CRI10 and Zt09 are non-functional and were “de-RIPed” as described in the main text. Sequences of alleles from Zt289 and TN09 suggest the presence of several potentially functional dim2 alleles in natural populations of Z. tritici. Color scheme according to rasmol (http://www.pdg.cnb.uam.es/cursos/Barcelona2002/pages/Farmac/CMU_course/ProtG/ShapelyColors.html). (B) Complete sequence alignment of all alleles shown in the cartoon. All SNVs and indels that lead to non-synonymous changes are indicated; there are many more synonymous than non-synonymous mutations in the various alleles. The conserved ten canonical motifs found in most DNMTases are underlined and indicated with Roman numerals. Motif I is the SAM (Adomet)-binding domain, motif IV includes the catalytic site with the invariant Pro-Cys site. Motif VIII is the most variable in Zymoseptoria dim2 alleles–this region is considered a poorly conserved targeting domain in bacterial DNMTases. Amino acids indicated in bold red show variations likely caused by the deRIP procedure (i.e., C or G were introduced when T or A would have retained the conserved amino acid, e.g. TCN->CCN, Ser, conserved, to Pro, de-RIP, or CAR->CGR, Gln, conserved, to Arg, de-RIP). Amino acids shown in blue suggest the presence of two or more different alleles in the Z. tritici population; most of these differences occur at the non-conserved C-terminus. Mutation of the predominant TAG/A stop codon to CAG/A (Q) generated a short addition of nine amino acids in two alleles. In addition to the known Dim2 domains, the two BAH (aa 494–601 and 637–748) and DNMT catalytic domain (aa 694–1171), we predict several other motifs that are conserved in Dim2 proteins from a wide variety of fungi, covering all groups of ascomycetes. This includes unexpected weak similarity to a domain that may be important to the targeting of DNMT1, the mammalian maintenance DNMT, to replication foci (RFD, replication focus domain), another short motif (TIVTPF) that is present in almost all Dim2 proteins but embedded in variable sequences, a putative nuclear localization signal (NLS), and two short motifs that are nearly invariable in Dim2 proteins (FPDHR and PTRPHGVGL). The only variant amino acid that may affect function is a D->A change predicted in the deRIPed version of the non-functional Zt09 dim2 allele at the end of the second BAH domain (orange A). All other differences are predicted to have only minor, if any, consequences for Dim2 activity.

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S4 Fig. Southern blots to confirm the correct integration of (A) the deletion construct for dim2 in Zt10 (Zt10Δdim2) and (B) dim2 (originating from Zt10) in Zt09 (Zt09::dim2).

Three positive transformants (#49, #63 and #84) were found amongst the Zt09::dim2 candidates, whereas all seven candidates for Zt10Δdim2 were verified (correct transformants are highlighted in bold).

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S5 Fig. Phenotypic characterization of Zt10, Zt10Δdim2, Zt09 and Zt09::dim2 in vitro.

We compared growth phenotypes under different in vitro conditions including temperature, osmotic, oxidative, genotoxic and cell wall stress. We spotted spore dilutions of each reference isolate and three independent dim2 mutant transformants on each plate. We did not detect any noticeable differences in growth between reference and mutant strains. Previously described differences between the Z. tritici isolates Zt09 and Zt10 were observed [35].

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S6 Fig. Results of wheat infection experiments with Z. tritici isolates Zt09, Zt10 and the mutants Zt09::dim2 and Zt10Δdim2 on wheat.

(A) Zt09::dim2 strains show significantly less necrotic lesions compared to Zt09 (*** Wilcoxon rank-sum test, p-value = 2.178 x 10−7) while there is no significant difference in the quantities of necrotic lesions caused by Zt10 and Zt10Δdim2 strains. (B) Coverage with pycnidia is significantly reduced between Zt09 and Zt09::dim2 (** Wilcoxon rank-sum test, p-value = 0.003301) but not between Zt10 and Zt10Δdim2 strains. Categories for necrotic lesion and pycnidia coverage: 0 = 0%, 1 = 1–20%, 2 = 21–40%, 3 = 41–60%, 4 = 61–80%, 5 = 81–100%.

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S7 Fig. Detection of cytosine methylation by enzymatic digestion and Southern blot and confirmation of bisulfite sequencing results by PCR and Sanger sequencing.

Restriction enzyme analysis followed by Southern blots using the rDNA spacer (A) or a retrotransposon RIL2 (B) as probe. In addition to the cytosine methylation sensitive (BfuCI, +) or insensitive (DpnII, -) enzymes, we used DpnI (*) to test for the presence of adenine methylation. Zt09 and Zt150 contain a non-functional dim2, whereas the Iranian strains Zt10, Zt11 and the Z. ardabiliae strain Za17 have a functional copy. In all strains with a functional dim2 we see a clear difference between the restrictions with BfuCI and DpnII, indicating the presence of DNA methylation. In Zt09 and Zt150 this difference is not detectable except for one band that is not restricted in both strains in the rDNA blot. The genomic DNA of Zt09 treated with DpnI is not digested suggesting absence of 6mA methylation in these regions. (C) Confirmation of bisulfite sequencing by an independent bisulfite treatment followed by PCR of target loci and Sanger sequencing. Two target loci (repeated region that showed 5mC signals in all isolates) were chosen per isolate, shown are the number of detected 5mC sites in these loci (size of loci ~ 180–260 bp). N is the number of cloned PCR products that were sequenced. Based on these data we can confirm the presence of 5mC methylation in all isolates and a lower frequency in absence of a functional dim2.

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S8 Fig. 5mC site preferences in CG, CHG and CHH sequence contexts.

(A) CGA and CGC sites are preferred in CG contexts in presence of dim2, while CGA and CGG are slightly preferred targets in absence of dim2. (B) Among CHG sites, CAG sites are the predominant target sites of 5mC. For CHG and CHH contexts only data for Zt10 and Zt09::dim2 are shown, as there is no detectable methylation outside of CG contexts in absence of a functional dim2. (C) In CHH contexts, CA sites followed by CC sites have the highest methylation frequency. CT sites are almost completely devoid of 5mC.

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S9 Fig. Methylation levels (A) and overlap of 5mC sites between the three replicates (B).

(A) Methylation levels of 5mC sites (5mC reads/site) in the different mutants and replicates. Methylation levels do not drop below 50% as this was the threshold to call 5mC sites. Methylation levels are highest in Zt09, where only few CpG sites are maintained by Dnmt5. All other strains have methylation levels mostly between 70–80% indicating more heterogenity of 5mC sites within the cell populations. (B) Overlap of detected 5mC sites between replicates of the same strain. Zt10 and Zt09 replicates originate from three independent inoculations while the mutant replicates represent independent transformants. The largest differences in terms of 5mC site overlap can be observed in the Zt10Δdim2 mutant. A likely explanation is that 5mC sites are in the process of being lost in absence of dim2 and that different sites get lost at different times in the independent transformants.

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S10 Fig. Expression pattern of the three (putative) DNA methyltransferases dim2, dnmt5 and rid during plant infection and in vitro in the isolates Zt10 and Zt09.

In vitro data is only available for Zt09. Expression during infection was monitored in specific stages: A–infection establishment, B–biotrophic growth, C–transition from biotrophic to necrotrophic growth, D–necrotrophic colonization [35].

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S11 Fig. Predicted domains of the three putative DNA methyltransferase proteins Dim2, Dnmt5 and Rid identified in the Zymoseptoria genomes.

Protein sequences were analyzed with SMART [95], NCBI Blast and InterProScan [96].

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S1 Table. List of Z. tritici, Z. ardabiliae, Z. brevis and Z. passerinii isolates used in this study.

Listed are collection date, origin, information about the genome assembly and presence/absence of dim2 in each isolate.

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S2 Table. Detected copies and pairwise identity of full-length (>3,000 bp) dim2 copies in Z. tritici genomes.

The dim2 gene of the Iranian isolate Zt469 was used as query for the blast search.

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S3 Table. Dinucleotide frequencies in transposable elements (TEs) and TE masked genomes in Z. tritici isolates and the sister species Z. brevis, Z. ardabiliae and Z. passerinii.

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S4 Table. Genes overlapping TEs and their functional annotation in Zt09.

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S5 Table. SNPs detected in Zt10 and IPO323 after 52 weeks of experimental evolution compared to the reference strain at the start of the experiment.

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S6 Table. Genome-wide occurrence of 5mC and SNPs in Zt10.

Listed are GC and AT content, number of 5mC sites (pooled data from WGBS of all three replicates) and number of SNPs (pooled data from all 40 replicates) in 500 bp windows.

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S7 Table. PacBio genome assembly metrics of Iranian isolates Zt289 and Zt469.

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S8 Table. List of all oligos and plasmids used in this study.

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S9 Table. Overview of Illumina sequencing data, detected 5mC sites, and SNPs.

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S1 Text. Software and commands used for bisulfite and genome data analysis to detect 5mC sites and SNPs.

(DOCX)

Acknowledgments

We thank Bruce A. McDonald for providing Iranian Z. tritici isolates, Fatemeh Salimi for sampling Iranian Z. tritici isolates, Kathrin Happ, Anja Lachner, Maja Stralucke, Kim Hufnagel and Doreen Landermann for assistance with experiments and John B. Ridenour for comments on the manuscript. EHS is a CIFAR fellow and acknowledges support.

Data Availability

Sequencing raw reads (FASTQ files) of all bisulfite and genomic data and the SMRT genome assemblies generated in this study are available online at Sequence Read Archive (SRA) under BioProject ID PRJNA614493. Previously published genome assemblies are available under BioProject PRJEB33986, PRJNA638605, PRJNA639021 (Zpa63), PRJNA638553 (Zb87), PRJNA638515 (Zp13), PRJNA638382 (Za17), https://doi.org/10.5281/zenodo.3820378, PRJNA414407 (Zt05 and Zt10). The genome sequence of the reference isolate IPO323 (Zt09) is available at: http://genome.jgi.doe.gov/Mycgr3/Mycgr3.home.html. In planta RNA-seq datasets for Z. tritici Zt09 and Zt10 are available at NCBI Gene Expression Omnibus with the accession number GSE106136. In vitro RNA-seq data for Zt09 is available in the NCBI Sequence Read Archives SRX5578740 and SRX5578741.

Funding Statement

Research in the lab of EHS is supported by the State of Schleswig-Holstein, the Max- Planck-Gesellschaft and CIFAR. Research in the lab of MF is supported by National Science Foundation (NSF) grant (MCB1818006). MM is supported by the Deutsche Forschungsgemeinschaft (DFG, MO 3755/1-1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Jones PA. Functions of DNA methylation: Islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012;13: 484–492. 10.1038/nrg3230 [DOI] [PubMed] [Google Scholar]
  • 2.Slotkin RK, Martienssen R. Transposable elements and the epigenetic regulation of the genome. Nat Rev Genet. 2007;8: 272–85. 10.1038/nrg2072 [DOI] [PubMed] [Google Scholar]
  • 3.Martienssen RA., Colot V. DNA Methylation and Epigenetic Inheritance in Plants and Filamentous Fungi. Science. 2001;293: 1070–1074. 10.1126/science.293.5532.1070 [DOI] [PubMed] [Google Scholar]
  • 4.Zemach A, McDaniel IE, Silva P, Zilberman D. Genome-Wide Evolutionary Analysis of Eukaryotic DNA Methylation. Science. 2010;238: 916–919. 10.1126/science.1186366 [DOI] [PubMed] [Google Scholar]
  • 5.Lyko F. The DNA methyltransferase family: A versatile toolkit for epigenetic regulation. Nat Rev Genet. 2018;19: 81–92. 10.1038/nrg.2017.80 [DOI] [PubMed] [Google Scholar]
  • 6.Robert M, Morin S, Beaulieu N, Gauthier F, Chute IC, Barsalou A, et al. DNMT1 is required to maintain CpG methylation and aberrant gene silencing in human cancer cells. Nat Genet. 2003;33: 61–65. 10.1038/ng1068 [DOI] [PubMed] [Google Scholar]
  • 7.Gruenbaum Y, Cedar H, Kazin A. Substrate and sequence specificity of a eukaryotic DNA methylase. Nature. 1982;295: 620–622. 10.1038/295620a0 [DOI] [PubMed] [Google Scholar]
  • 8.Leonhardt H, Page AW. A Targeting Sequence Directs DNA Methyltransferase to Sites of DNA Replication in Mammalian nuclei. Cell. 1992;71: 865–873. 10.1016/0092-8674(92)90561-p [DOI] [PubMed] [Google Scholar]
  • 9.Okano M, Bell DW, Haber DA, Li E. DNA Methyltransferases Dnmt3a and Dnmt3b Are Essential for De Novo Methylation and Mammalian Development. Cell. 1999;99: 247–257. 10.1016/s0092-8674(00)81656-6 [DOI] [PubMed] [Google Scholar]
  • 10.Cao X, Jacobsen SE. Role of the Arabidopsis DRM Methyltransferases in De Novo DNA Methylation and Gene Silencing. Curr Biol. 2002;12: 1138–1144. 10.1016/s0960-9822(02)00925-9 [DOI] [PubMed] [Google Scholar]
  • 11.Cao X, Springer NM, Muszynski MG, Phillips RL, Kaeppler S, Jacobsen SE. Conserved plant genes with similarity to mammalian de novo DNA methyltransferases. PNAS. 2000;97: 4979–4984. 10.1073/pnas.97.9.4979 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jeltsch A, Jurkowska RZ. New concepts in DNA methylation. Trends Biochem Sci. 2014;39: 310–318. 10.1016/j.tibs.2014.05.002 [DOI] [PubMed] [Google Scholar]
  • 13.Goyal R, Reinhardt R, Jeltsch A. Accuracy of DNA methylation pattern preservation by the Dnmt1 methyltransferase. Nucleic Acids Res. 2006;34: 1182–1188. 10.1093/nar/gkl002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zolan ME, Pukkila PJ. Inheritance of DNA methylation in Coprinus cinereus. Mol Cell Biol. 1986;6: 195–200. 10.1128/mcb.6.1.195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kouzminova E, Selker EU. Dim-2 encodes a DNA methyltransferase responsible for all known cytosine methylation in Neurospora. EMBO J. 2001;20: 4309–4323. 10.1093/emboj/20.15.4309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Goll MG, Bestor TH. Eukaryotic Cytosine Methyltransferases. Annu Rev Biochem. 2005;74: 481–514. 10.1146/annurev.biochem.74.010904.153721 [DOI] [PubMed] [Google Scholar]
  • 17.Freitag M, Williams RL, Kothe GO, Selker EU. A cytosine methyltransferase homologue is essential for repeat-induced point mutation in Neurospora crassa. PNAS. 2002;99: 8802–8807. 10.1073/pnas.132212899 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Malagnac F, Wendel B, Goyon C, Faugeron G, Zickler D, Rossignol JL, et al. A gene essential for de novo methylation and development in ascobolus reveals a novel type of eukaryotic DNA methyltransferase structure. Cell. 1997;91: 281–290. 10.1016/s0092-8674(00)80410-9 [DOI] [PubMed] [Google Scholar]
  • 19.Gladyshev E, Kleckner N. DNA sequence homology induces cytosine-to-thymine mutation by a heterochromatin-related pathway in Neurospora. Nat Genet. 2017;49: 887–894. 10.1038/ng.3857 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Huff JT, Zilberman D. Dnmt1-independent CG methylation contributes to nucleosome positioning in diverse eukaryotes. Cell. 2014;156: 1286–1297. 10.1016/j.cell.2014.01.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Catania S, Dumesic PA, Pimentel H, Nasif A, Stoddard CI, Burke JE, et al. Evolutionary Persistence of DNA Methylation for Millions of Years after Ancient Loss of a De Novo Methyltransferase. Cell. 2020;180: 263–277.e20. 10.1016/j.cell.2019.12.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bewick AJ, Hofmeister BT, Powers RA, Mondo SJ, Grigoriev I V, James TY, et al. Diversity of cytosine methylation across the fungal tree of life. Nat Ecol Evol. 2019; 10.1038/s41559-019-0810-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ruesch CE, Ramakrishnan M, Park J, Li N, Chong HS, Zaman R, et al. The Histone H3 Lysine 9 Methyltransferase DIM-5 Modifies Chromatin at frequency and Represses Light-Activated Gene Expression. G3 GENES, GENOMES, Genet. 2015;5: 93–101. 10.1534/g3.114.015446 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Xue Z, Ye Q, Anson SR, Yang J, Xiao G, Kowbel D, et al. Transcriptional interference by antisense RNA is required for circadian clock function. Nature. 2014/08/17. 2014;514: 650–653. 10.1038/nature13671 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Dhillon B, Cavaletto JR, Wood K V., Goodwin SB. Accidental amplification and inactivation of a methyltransferase gene eliminates cytosine methylation in Mycosphaerella graminicola. Genetics. 2010;186: 67–77. 10.1534/genetics.110.117408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Linde CC, Zhan J, McDonald BA. Population Structure of Mycosphaerella graminicola: From Lesions to Continents. Phytopathology. 2002;92: 946–955. 10.1094/PHYTO.2002.92.9.946 [DOI] [PubMed] [Google Scholar]
  • 27.Zhan J, Pettway RE, McDonald BA. The global genetic structure of the wheat pathogen Mycosphaerella graminicola is characterized by high nuclear diversity, low mitochondrial diversity, regular recombination, and gene flow. Fungal Genet Biol. 2003;38: 286–297. 10.1016/s1087-1845(02)00538-8 [DOI] [PubMed] [Google Scholar]
  • 28.Hartmann FE, Sánchez-Vallet A, McDonald BA, Croll D. A fungal wheat pathogen evolved host specialization by extensive chromosomal rearrangements. ISME J. 2017;11: 1189–1204. 10.1038/ismej.2016.196 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Oggenfuss U, Badet T, Wicker T, Hartmann FE, Singh NK, Abraham LN, et al. A population-level invasion by transposable elements in a fungal pathogen. bioRxiv. 2020; 10.1101/2020.02.11.944652 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Lorrain C, Feurtey A, Möller M, Haueisen J, Stukenbrock E. Dynamics of transposable elements in recently diverged fungal pathogens: lineage-specific transposable element content and efficiency of genome defences. bioRxiv. 2020; 10.1101/2020.05.13.092635 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Feurtey A, Stevens DM, Stephan W, Stukenbrock EH. Interspecific gene exchange introduces high genetic variability in crop pathogen. Genome Biol Evol. 2019;evz224. 10.1093/gbe/evz224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Badet T, Oggenfuss U, Abraham L, McDonald BA, Croll D. A 19-isolate reference-quality global pangenome for the fungal wheat pathogen Zymoseptoria tritici. BMC Biol. 2020;18: 12. 10.1186/s12915-020-0744-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Plissonneau C, Stürchler A. The Evolution of Orphan Regions in Genomes of a Fungal Pathogen of Wheat. mBio. 2016;7: e01231–16. 10.1128/mBio.01231-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Plissonneau C, Hartmann FE, Croll D. Pangenome analyses of the wheat pathogen Zymoseptoria tritici reveal the structural basis of a highly plastic eukaryotic genome. BMC Biol. 2018;16: 5. 10.1186/s12915-017-0457-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Haueisen J, Möller M, Eschenbrenner CJ, Grandaubert J, Seybold H, Adamiak H, et al. Highly flexible infection programs in a specialized wheat pathogen. Ecol Evol. 2019;9: 275–294. 10.1002/ece3.4724 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Stukenbrock EH, Bataillon T, Dutheil JY, Hansen TT, Li R, Zala M, et al. The making of a new pathogen: Insights from comparative population genomics of the domesticated wheat pathogen Mycosphaerella graminicola and its wild sister species. Genome Res. 2011;21: 2157–2166. 10.1101/gr.118851.110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Goodwin SB, M’barek S Ben, Dhillon B, Wittenberg AHJ, Crane CF, Hane JK, et al. Finished genome of the fungal wheat pathogen Mycosphaerella graminicola reveals dispensome structure, chromosome plasticity, and stealth pathogenesis. PLOS Genet. 2011;7: e1002070. 10.1371/journal.pgen.1002070 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Galagan JE, Selker EU. RIP: The evolutionary cost of genome defense. Trends Genet. 2004;20: 417–423. 10.1016/j.tig.2004.07.007 [DOI] [PubMed] [Google Scholar]
  • 39.Selker EU. PREMEIOTIC INSTABILITY OF REPEATED SEQUENCES IN NEUROSPORA CRASSA. Annu Rev Genet. 1990;24: 579–613. 10.1146/annurev.ge.24.120190.003051 [DOI] [PubMed] [Google Scholar]
  • 40.Stukenbrock EH, Quaedvlieg W, Javan-Nikhah M, Zala M, Crous PW, McDonald BA. Zymoseptoria ardabiliae and Z. pseudotritici, two progenitor species of the septoria tritici leaf blotch fungus Z. tritici (synonym: Mycosphaerella graminicola). Mycologia. 2012;104: 1397–407. 10.3852/11-374 [DOI] [PubMed] [Google Scholar]
  • 41.Möller M, Schotanus K, Soyer JL, Haueisen J, Happ K, Stralucke M, et al. Destabilization of chromosome structure by histone H3 lysine 27 methylation. PLOS Genet. 2019;15: e1008093. 10.1371/journal.pgen.1008093 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tamaru H, Selker EU. A histone H3 methyltransferase controls DNA methylation in Neurospora crassa. Nature. 2001;414: 277–83. 10.1038/35104508 [DOI] [PubMed] [Google Scholar]
  • 43.Jackson JP, Lindroth AM, Cao X, Jacobsen SE. Control of CpNpG DNA methylation by the KRYPTONITE histone H3 methyltransferase. Nature. 2002;416: 556–560. 10.1038/nature731 [DOI] [PubMed] [Google Scholar]
  • 44.Du J, Johnson LM, Jacobsen SE, Patel DJ. DNA methylation pathways and their crosstalk with histone methylation. Nat Rev Mol Cell Biol. 2015;16. 10.1038/nrm4043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Dumesic PA, Homer CM, Moresco JJ, Pack LR, Shanle EK, Coyle SM, et al. Product Binding Enforces the Genomic Specificity of a Yeast Polycomb Repressive Complex. Cell. 2015;160: 204–218. 10.1016/j.cell.2014.11.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Grandaubert J, Bhattacharyya A, Stukenbrock EH. RNA-seq Based Gene Annotation and Comparative Genomics of Four Fungal Grass Pathogens in the Genus Zymoseptoria Identify Novel Orphan Genes and Species-Specific Invasions of Transposable Elements. G3. 2015;5: g3.115.017731-. 10.1534/g3.115.017731 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Selker EU, Stevens JN. DNA methylation at asymmetric sites is associated with numerous transition mutations. PNAS. 1985;82: 8114–8. 10.1073/pnas.82.23.8114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Holliday R, Grigg G. DNA methylation and mutation. Mutat Res. 1993;285: 61–67. 10.1016/0027-5107(93)90052-h [DOI] [PubMed] [Google Scholar]
  • 49.Quaedvlieg W, Kema GHJ, Groenewald JZ, Verkley GJM, Seifbarghi S, Razavi M, et al. Zymoseptoria gen. nov.: A new genus to accommodate Septoria-like species occurring on graminicolous hosts. Persoonia Mol Phylogeny Evol Fungi. 2011;26: 57–69. 10.3767/003158511X571841 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.McDonald MC, McGinness L, Hane JK, Williams AH, Milgate A, Solomon PS. Utilizing Gene Tree Variation to Identify Candidate Effector Genes in Zymoseptoria tritici. G3. 2016;6: 779–91. 10.1534/g3.115.025197 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Montanini B, Chen P-Y, Morselli M, Jaroszewicz A, Lopez D, Martin F, et al. Non-exhaustive DNA methylation-mediated transposon silencing in the black truffle genome, a complex fungal genome with massive repeat element content. Genome Biol. 2014;15: 411. 10.1186/s13059-014-0411-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Nakayashiki H, Ikeda K, Hashimoto Y, Tosa Y, Mayama S. Methylation is not the main force repressing the retrotransposon MAGGY in Magnaporthe grisea. Nucleic Acids Res. 2001;29: 1278–84. 10.1093/nar/29.6.1278 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Duncan BK, Miller JH. Mutagenic deamination of cytosine residues in DNA. Nature. 1980;287: 560–561. 10.1038/287560a0 [DOI] [PubMed] [Google Scholar]
  • 54.Kiefer C, Willing E, Jiao W, Sun H, Piednoël M, Hümann U, et al. Interspecies association mapping links reduced CG to TG substitution rates to the loss of gene-body methylation. Nat Plants. 2019;5. 10.1038/s41477-019-0486-9 [DOI] [PubMed] [Google Scholar]
  • 55.Mazur AK, Gladyshev E. Partition of Repeat-Induced Point Mutations Reveals Structural Aspects of Homologous DNA-DNA Pairing. Biophysj. Biophysical Society; 2018;115: 605–615. 10.1016/j.bpj.2018.06.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Yang AS, Shen JC, Zingg JM, Mi S, Jones PA. HhaI and HpaII DNA methyltransferases bind DNA mismatches, methylate uracil and block DNA repair. Nucleic Acids Res. 1995;23: 1380–1387. 10.1093/nar/23.8.1380 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Shen JC, Zingg JM, Yang AS, Schmutte C, Jones PA. A mutant HpaII methyltransferase functions as a mutator enzyme. Nucleic Acids Res. 1995;23: 4275–4282. 10.1093/nar/23.21.4275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Rosa AL, Folco HD, Mautino MR. In vivo levels of S-adenosylmethionine modulate C:G to T:A mutations associated with repeat-induced point mutation in Neurospora crassa. Mutat Res Mol Mech Mutagen. 2004;548: 85–95. 10.1016/j.mrfmmm.2004.01.001 [DOI] [PubMed] [Google Scholar]
  • 59.Mautino MR, Rosa AL. Analysis of Models Involving Enzymatic Activities for the Occurrence of C→T Transition Mutations During Repeat-Induced Point Mutation (RIP) in Neurospora crassa. J Theor Biol. 1998;192: 61–71. 10.1006/jtbi.1997.0608 [DOI] [PubMed] [Google Scholar]
  • 60.Chen L, MacMillan AM, Verdine GL. Mutational separation of DNA binding from catalysis in a DNA cytosine methyltransferase. J Am Chem Soc. American Chemical Society; 1993;115: 5318–5319. 10.1021/ja00065a063 [DOI] [Google Scholar]
  • 61.Shen J-C, Rideout III WM, Jones PA. High frequency mutagenesis by a DNA methyltransferase. Cell. 1992;71: 1073–1080. 10.1016/s0092-8674(05)80057-1 [DOI] [PubMed] [Google Scholar]
  • 62.Wang K-Y, James Shen C-K. DNA methyltransferase Dnmt1 and mismatch repair. Oncogene. 2004;23: 7898–7902. 10.1038/sj.onc.1208111 [DOI] [PubMed] [Google Scholar]
  • 63.Freitag M. Histone Methylation by SET Domain Proteins in Fungi. Annu Rev Microbiol. 2017;36: 413–439. 10.1146/annurev-micro-102215-095757 [DOI] [PubMed] [Google Scholar]
  • 64.Ikeda KI, Van Vu B, Kadotani N, Tanaka M, Murata T, Shiina K, et al. Is the fungus Magnaporthe losing DNA methylation? Genetics. 2013;195: 845–855. 10.1534/genetics.113.155978 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Yang K, Liang L, Ran F, Liu Y, Li Z, Lan H, et al. The DmtA methyltransferase contributes to Aspergillus flavus conidiation, sclerotial production, aflatoxin biosynthesis and virulence. Sci Rep. 2016;6: 1–13. 10.1038/s41598-016-0001-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Selmecki A, Forche A, Berman J. Genomic plasticity of the human fungal pathogen Candida albicans. Eukaryot Cell. 2010;9: 991–1008. 10.1128/EC.00060-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Hu G, Wang J, Choi J, Jung WH, Liu I, Litvintseva AP, et al. Variation in chromosome copy number influences the virulence of Cryptococcus neoformans and occurs in isolates from AIDS patients. BMC Genomics. 2011;12: 526. 10.1186/1471-2164-12-526 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Möller M, Stukenbrock EH. Evolution and genome architecture in fungal plant pathogens. Nat Rev Microbiol. 2017;15: 756. 10.1038/nrmicro.2017.76 [DOI] [PubMed] [Google Scholar]
  • 69.Raffaele S, Kamoun S. Genome evolution in filamentous plant pathogens: why bigger can be better. Nat Rev Microbiol. 2012;10: 417–430. 10.1038/nrmicro2790 [DOI] [PubMed] [Google Scholar]
  • 70.Allen GC, Flores-Vergara MA, Krasynanski S, Kumar S, Thompson WF. A modified protocol for rapid DNA isolation from plant tissues using cetyltrimethylammonium bromide. Nat Protoc. 2006;1: 2320–2325. 10.1038/nprot.2006.384 [DOI] [PubMed] [Google Scholar]
  • 71.Feurtey A, Lorrain C, Croll D, Eschenbrenner C, Freitag M, Habig M, et al. Genome compartmentalization predates species divergence in the plant pathogen genus Zymoseptoria. BMC Genomics. 2020;21: 588. 10.1186/s12864-020-06871-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013;29: 1072–1075. 10.1093/bioinformatics/btt086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Flutre T, Duprat E, Feuillet C, Quesneville H. Considering Transposable Element Diversification in De Novo Annotation Approaches. PLOS One. 2011;6: e16526. 10.1371/journal.pone.0016526 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Bolger AM, Lohse M, Usadel B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30: 2114–2120. 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12: 357–60. 10.1038/nmeth.3317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Jin Y, Hammell M. Analysis of RNA-Seq Data Using TEtranscripts. Methods Mol Biol. 2018;1751: 153–167. 10.1007/978-1-4939-7710-9_11 [DOI] [PubMed] [Google Scholar]
  • 77.Möller M, Habig M, Freitag M, Stukenbrock EH. Extraordinary Genome Instability and Widespread Chromosome Rearrangements During Vegetative Growth. Genetics. 2018;210 no. 2: 517–529. 10.1534/genetics.118.301050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Grandaubert J, Dutheil JY, Stukenbrock EH. The genomic determinants of adaptive evolution in a fungal pathogen. Evol Lett. 2019; 299–312. 10.1002/evl3.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Jürgens T, Linde CC, Mcdonald BA. Genetic structure of Mycosphaerella graminicola populations from Iran, Argentina and Australia. Eur J Plant Pathol. 2006; 115:223–23. 10.1007/s10658-006-9000-0 [DOI] [Google Scholar]
  • 80.Daboussi MJ. Fungal transposable elements and genome evolution. Genetica. 1997;100: 253–260. 10.1023/A:1018354200997 [DOI] [PubMed] [Google Scholar]
  • 81.Zhan J, Linde CC, Jürgens T, Merz U, Steinebrunner F, McDonald BA. Variation for neutral markers is correlated with variation for quantitative traits in the plant pathogenic fungus Mycosphaerella graminicola. Mol Ecol. 2005;14: 2683–2693. 10.1111/j.1365-294X.2005.02638.x [DOI] [PubMed] [Google Scholar]
  • 82.Stukenbrock EH, Dutheil JY. Fine-scale recombination maps of fungal plant pathogens reveal dynamic recombination landscapes and intragenic hotspots. Genetics. 2018;208: 1209–1229. 10.1534/genetics.117.300502 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28: 1647–1649. 10.1093/bioinformatics/bts199 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Poppe S, Dorsheimer L, Happel P, Stukenbrock EH. Rapidly Evolving Genes Are Key Players in Host Specialization and Virulence of the Fungal Wheat Pathogen Zymoseptoria tritici (Mycosphaerella graminicola). PLOS Pathog. 2015;11: 1–21. 10.1371/journal.ppat.1005055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Gibson DG, Young L, Chuang RY, Venter JC, Hutchison CA, Smith HO. Enzymatic assembly of DNA molecules up to several hundred kilobases. Nat Methods. 2009;6: 343–345. 10.1038/nmeth.1318 [DOI] [PubMed] [Google Scholar]
  • 86.Krueger F, Andrews SR. Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics. 2011;27: 1571–1572. 10.1093/bioinformatics/btr167 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010;26: 841–842. 10.1093/bioinformatics/btq033 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Southern EM. Detection of specific sequences among DNA fragments separated by gel electrophoresis. J Mol Biol. 1975;98: 503–517. 10.1016/s0022-2836(75)80083-0 [DOI] [PubMed] [Google Scholar]
  • 89.Sambrock J, W. Russel D. Molecular Cloning: A Laboratory Manual (3rd edition). 2001 [Google Scholar]
  • 90.Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol. 2019;37: 907–915. 10.1038/s41587-019-0201-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Trapnell C, Hendrickson DG, Sauvageau M, Goff L, Rinn JL, Pachter L. Differential analysis of gene regulation at transcript resolution with RNA-seq. Nat Biotechnol. 2013;31: 46–53. 10.1038/nbt.2450 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Marçais G, Kingsford C. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics. 2011;27: 764–770. 10.1093/bioinformatics/btr011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.R Core Team. R: A Language and Environment for Statistical Computing. R Found Stat Comput. 2019; https://www.r-project.org [Google Scholar]
  • 94.Lê S, Josse J, Husson F. FactoMineR: An R Package for Multivariate Analysis. J Stat Softw. 2008;25. 10.18637/jss.v025.i01 [DOI] [Google Scholar]
  • 95.Letunic I, Bork P. 20 years of the SMART protein domain annotation resource. Nucleic Acids Res. 2017;46: D493–D496. 10.1093/nar/gkx922 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Finn RD, Attwood TK, Babbitt PC, Bateman A, Bork P, Bridge AJ, et al. InterPro in 2017-beyond protein family and domain annotations. Nucleic Acids Res. 2017;45: D190–D199. 10.1093/nar/gkw1107 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Kirsten Bomblies, Ksenia Krasileva

27 Oct 2020

Dear Dr Möller,

Thank you very much for submitting your Research Article entitled 'Recent loss of the Dim2 DNA methyltransferase decreases mutation rate in repeats and changes evolutionary trajectory in a fungal

pathogen' to PLOS Genetics. Your manuscript was fully evaluated at the editorial level and by independent peer reviewers. The reviewers appreciated the attention to an important problem, but raised some substantial concerns about the current manuscript. Based on the reviews, we will not be able to accept this version of the manuscript, but we would be willing to review again a much-revised version. We cannot, of course, promise publication at that time.

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The manuscript received most enthusiastic and supportive feedback from all reviewers all of whom unanimously agreed that the study presents major scientific advancement in area of fungal genome evolution and DNA methylation. We invite you to revise your manuscript addressing all of the reviewer’s comments and provide it for re-review. All reviewers agreed that experimental evolution is at the center of this study. Please, consider and address carefully the critique of experimental evolution section by the first reviewer providing a more in-depth explanation of the choice of strain used in experimental evolution. In this context, it is important discuss in more detail other differences besides dim2 between the Zt09 and Zt10 strains. Two of the reviewers comment on the origin and functionality of dim2 alleles that needs careful consideration. The third reviewer raises an important issue of interpreting Zt09:DIM2 virulence phenotypes which also need closer attention. Finally, provide more details on methodology and conclusions used throughout the study as outlined by reviewers.

Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: The manuscript 'Recent loss of the Dim2 DNA methyltransferase decreases mutation rate in repeats and changes evolutionary trajectory in a fungal pathogen' by Möller and colleagues reports on computational and experimental analyses of the Dim2 DNA methyltransfereses in the fungal wheat pathogen Zymoseptoria tritici. The authors demonstrate that, next to conserved rid and dnmt5, few Z. tritici strains isolated at the centre of origin carry intact dim2 while many other isolates encode (multiple) inactivated versions of this gene. The authors furthermore show that dim2 is responsible for de novo DNA methylation (5mC) at transposable elements (TEs). Intriguingly, by performing experimental evolution experiments, the authors observed increased nucleotide changes C->T on CpA sites during mitosis. These mutations could contribute to the inactivity of TEs which therefore would shape the TE repertoires in strains polymorphic in dim2. This mutational processes seems to be analogous to the RIP genome defense mechanisms, which is RID dependent and thus far has been linked to the sexual cycle of fungi. This here described dim2-dependent mutator could therefore explain the occurrence of RIP-like mutations in many fungal genomes that lack apparent sexual cycles.

I really enjoyed reading this paper. It is very clearly written, the data is presented in a very clear manner, and the results seem to support the authors' main conclusions. However, I am concerned about some aspects of the experimental evolution experiment the authors conducted to show that dim2 promotes C->T mutations during mitosis. It is unclear why the authors use a different isolate with non-functional dim2 (IPO323) compared with Zt09 that is used throughout the remainder of the manuscript. The authors indicated that Zt09 is derived from IPO32. Based on information I found in other papers from this group, Zt09 seems to be an isolate with a deletion of chromosome 18. Thus, it is at least questionable to which extend the observations made on Zt09 throughout the manuscript can be easily transferred to IPO323 as it is not clear to which extent the genotypes differer (except del chr. 18, e.g. accumulation of other mutations throughout the genome). Furthermore, Zt09/IPO323 and Zt10 have been isolated from different regions and at different time points, and it is therefore conceivable that the genotypes of Zt10 and IPO323 differ not only in dim2. Consequently, the increased number of mutations in the evolved strains compared with the reference might therefore not only be due to differences in dim2. To address these concerns, the authors need to corroborate their observations by performing the evolution experiments by using the deletion/complementation strains of Zt09 and Zt10 as here the genetic background is identical.

Some further detailed comments/suggestions:

L112: Could the authors please provide more detail how full-length dim2 was identified in Zt10?

L221: The authors observe that introduction of dim2 into a dim2 deficient strain (Zt09) reduces virulence while deletion of dim2 in a dim2 competent strain (Zt10) does not show a corresponding phenotype (increase in virulence). Furthermore, the authors suggest (L485) that loss of dim2 is adaptive in an agricultural setting due to increased virulence. The authors really need to explain this observation in the first place and why increased DNA methylation would impact virulence.

L245: Could the authors provide a bit more detailed on the distribution of 5mC in the genome. How does the distribution of methylation levels look like (number of mC reads over C per position)?

L285: Obviously, this paper focuses on dim2 rather than on dnmt5. However, I feel the authors might have missed a huge opportunity by not providing additional functional data (e.g. deletion/complementation and WGBS) on the role of dnmt5. Recent work by Bewick and colleagues demonstrated that the majority of fungi encode dim2, dnmt5, and rid (Bewick et al. 2019). However, most work to my knowledge on DNA methylation in fungi has focused on systems with only two DNA methyltransferases (dim2 and rid, e.g. Neurospora). Studying a system with all three enzymes would provide an intriguing opportunity.

L297: How do the authors explain the grouping of UR95 in the correspondence analyses?

L397: This is similar to the point raised for Fig 2. The authors seem to infer that dim2 alleles with polymorphisms except premature stop codons are functionally active. First, do this polymorphisms alter amino-acid residues, for instance in the catalytic domain. Second, to ascertain that these alleles are functional, the authors need to provide additional data that these alleles are indeed functional.

L467: Could the authors provide more details how the different DNA methlytransferases are expressed in Z. tritici? Is dim2, for example, constitutively expressed?

L503: Could the authors please provide some brief details how genome assemblies were performed?

L530: Was the search with the DNA methyltransferase domain done using BLAST or via profile search against the genome?

Fig. 2: The authors identify multiple dim2 that contain an 5' deletion. Nevertheless, they conclude that some of these might be intact, thus active. For example, Zt289 contain this deletion. However the authors do not provide any evidence that this allele is indeed functional. I would suggest to at least briefly address this possible ambiguity in the results/discussion.

Fig. 3: Can the authors please provide an explanation why the number of methylated sites is higher in the Zt09::dim2 strain compared with Zt10? is there a difference in copy-number of expression of the dim2 allele between the isolates?

Fig. 4: For clarity, could the authors please indicate in panel a and b the different dim2 classes (active, inactive, etc.) based on e.g. differences in color or shapes?

Reviewer #2: Although a wheat pathogen, Zymoseptoria tritici is a tractable lab model to study fungal genome evolution. In this manuscript, Möller et al. present the identification of Z. tritici isolates carrying a functional dim2 gene while strains of reference display inactivated dim2 genes and low levels of 5mC. They showed that presence of functional dim2 alleles, either from endogenous or transgenic origin, correlates with significant levels of 5mC in TEs. Importantly, an evolution experiment conducted over 1000 mitotic divisions reveals that functional dim2 enzyme alters nucleotide composition of TE, in a RIP independent manner. This finding is a real breakthrough in the field of fungal genome evolution. Overall, the quality of this manuscript is suitable for publication in PLOS Genetics, providing some modifications and clarifications that are listed below.

The major concern deals with the mutation patterns of the de-RIPed non-native dim2 alleles (Figure 2), which strongly suggest a clonal origin of all of the sequenced subtelomeric copies. Consequently, the authors’ statement that “all non-native alleles share a specific pattern of transition and, surprisingly, transversion mutations in the DNA methyltransferase domain” does not fully fit with these data. More than specific, these are almost identical patterns, likely inherited from a single integration event of the so-called ‘transversion allele’ in an ancestral strain lacking dim2 activity. The text should be modified adequately. The authors should also consider using the de-RIPed dim2 phylogenetic analysis present in this study (Figure S1 A) to address questions linked to the clonal origin of the ‘transversion allele’, namely when and where (i.e. in which strain) this integration event might have happened.

The “native dim2 gene” expression is misleading since “native” would mean “functional” is most readers’ mind, whereas here, it is used to qualify a genomic location rather than a functional feature. So I would rather use “resident dim2 gene” or alternatively “dim2 native locus”.

- Abstract: “Integration of a functional dim2 allele in strains with mutated dim2 restored normal 5mC levels, demonstrating de novo cytosine methylation activity of dim2 this is an overstatement”.

The authors did not demonstrate de novo methylation activity of dim2 and alternative possibilities exist. For one, 5mC patterns could very well be installed by non-DIM2 DNMT(s) and further maintained by DIM2.

- line 120: “Five Z. tritici isolates contained an intact, non-mutated copy of dim2 in addition to multiple mutated, non-functional copies”.

How is it possible that an intact non-mutated copy of dim2 persists, meaning that it escaped RIP, when multiple mutated, non-functional copies are also present in the same haploid genome? Are they some data related to RIP efficiency on repeats located in cis vs in trans in Z. tritici’s genome? Alternatively, would you postulate that these strains did not reproduce sexually?

- p148: Any polymorphism among functional Dim2 alleles of the strains from Iran ? On a more general note, it would be interesting to give more evolutionary depth to this descriptive paragraph by performing dN/dS analyses, at least for conserved transversion mutations within the catalytic domain, eventually compared to the few ones outside of it.

- line 157: Are they from a specific retrotransposon family?

- line 182: “This second pattern was unexpected; the most parsimonious explanation is replacement of non-functional alleles at the native locus with novel dim2 alleles, perhaps by recombination with wild grass infecting isolates, such as Zt469.”

On what ground? The authors should underpin this hypothesis with further mechanistic explanation. Is there any established example of such a replacement to refer to? Besides, the authors stated in the discussion section that “Further analyses of diverse Z. tritici isolates from different hosts and geographical locations (T. aestivum , Triticum durum , or Aegilops sp.) are needed to track the evolutionary history of the dim2 gene in the Zymoseptoria species complex. ” Therefore if it is not known for sure that wheat-pathogen strains and wild-grass infecting strains are present at the locations (Table S2), how to argue for inter-specific recombination events?

- Figure 2A: It would be handy to give some structural information about end/start of the dim2 CDS and location of conserved N-term motifs of the dim2 enzyme.

- line 229 and Fig S6: in order to properly demonstrated that fragments of higher molecular weight generated by 5mC-sensitive enzymes are readily due to DNA methylation and not to partial enzymatic reactions, these blots have to be hybridized using a single unmethylted gene as a probe.

- line 255: “a de novo DNA methyltransferase is present.”

Which one are you referring to?

- lines 267-286: What is the point of this paragraph? This is more of general background and should be moved either in S8 figure legend for the first part or in discussion section for the last sentences.

-lines 415-416: “A likely scenario for repeated invasion and inactivation cycles predicts that some wild grass infecting isolates carried “transversion alleles” that were not mutated.”

If the ‘tranversion alleles’ are the non-native mutated ones showed fig2A, this sentence is puzzling.

- lines 482-484: “Here we uncovered a system of continuing loss and re-acquisition of the ability to silence or inactivate TEs in the genomes of numerous isolates of an important plant pathogen, Z. tritici.”

Still speculative, this sentence should be rephrased.

Reviewer #3: I would like to congratulate the authors on a great manuscript that I already enjoyed reading the preprint. I also would like to apologize for being really late with the reviews.

The manuscript describes an evolutionary study of the DNA methyltransferase DIM2 in the important plant pathogen Z. tritici. The study is very timely and very well executed. I only have a couple of minor suggestions and comments that are easily addressed by re-writing.

Minor points:

* p. 6 140ff and Figure 2. It would be great if the text and the figure could be linked some more. Right now this is a bit difficult to follow. For example, l 179 mentions pattern 2 and this is not explained in the figure. I think the authors talk about three patterns. This should be more explicit in the text and in the figure.

* I am a bit confused by the usage of dim2 as active and inactive. The common conventions followed is that functional alleles are all capital italic "DIM2", non-functional low case italic dim2, and protein variants as all capital DIM2. This is potentially something the authors want to take on board.

* The authors state that methylation has a negative effect on infection in wheat based on Fig. S5 where a functional DIM2 is transformed into Zt09 (and potentially that Zt10 having a functional allele is not as infective). What is the sample size of transformants tested here? Could this be a pleitropic effect of the gene insertion? How does the mutation of Zt09:DIM2 alter this phenotype? There is no need to do new experiments if these are too long-winded. Yet I would encourage the authors to consider these alternative explanations for the observed reduced virulence in this transgenic Z. tritici line.

* The insight gained by the correspondence analysis wasn't immediate obvious to me. I am also not familiar with this analysis. This could be explained a bit more or supported with additional analysis e.g. what are the relative abundance of CG or GA sides in +dim2 lines TEs?

* The method section could include version numbers for all programs used with specific flags if any were evoked.

I really enjoyed the evolution experiment. Nicely done.

I don't have anything to add to the discussion as my suggestion were already included based on the comments on the preprint.

**********

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: None

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Reviewer #3: Yes: Benjamin Schwessinger

Decision Letter 1

Kirsten Bomblies, Ksenia Krasileva

26 Feb 2021

Dear Dr Möller,

We are pleased to inform you that your manuscript entitled "Recent loss of the Dim2 DNA methyltransferase decreases mutation rate in repeats and changes evolutionary trajectory in a fungal

pathogen" has been editorially accepted for publication in PLOS Genetics. Congratulations!

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Ksenia Krasileva

Guest Editor

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Kirsten Bomblies

Section Editor: Evolution

PLOS Genetics

www.plosgenetics.org

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----------------------------------------------------

Comments from the reviewers (if applicable):

The reviewers found that their comments were addressed. Great job!

Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #2: The authors responded to all points I raised.

Reviewer #3: I really appreciated the very thoughtful responses to all reviewers comments. They are all addressed satisfactory in my opinion. I am looking forward seeing this article in print.

**********

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Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information.

Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #2: No

Reviewer #3: Yes: Benjamin Schwessinger

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Acceptance letter

Kirsten Bomblies, Ksenia Krasileva

17 Mar 2021

PGENETICS-D-20-01371R1

Recent loss of the Dim2 DNA methyltransferase decreases mutation rate in repeats and changes evolutionary trajectory in a fungal pathogen

Dear Dr Möller,

We are pleased to inform you that your manuscript entitled "Recent loss of the Dim2 DNA methyltransferase decreases mutation rate in repeats and changes evolutionary trajectory in a fungal pathogen" has been formally accepted for publication in PLOS Genetics! Your manuscript is now with our production department and you will be notified of the publication date in due course.

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Associated Data

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

    Supplementary Materials

    S1 Fig. Phylogenetic trees of DNA sequences encoding the dim2, dnmt5, and rid genes.

    (A) Phylogenetic tree based on alignments of “deRIPed” dim2 alleles to the native, functional gene of Zt469. The Z. tritici dim2 is distinct from the Z. brevis and Z. ardabiliae gene. The native Z. tritici copies, except for OregS90 and CRI10, and non-native copies form distinct clusters. Shown are two representative “deRIPed” non-native copies per isolate. (B) Dnmt5 is present in all analyzed genomes and shows relatively little inter- or intraspecies diversity. (C) The rid gene shows an exceptionally high inter- and intraspecies diversity with three highly distinct alleles present among genomes of Z. tritici, Z. ardabiliae and Z. brevis. Green background indicates Z. tritici, blue Z. ardabiliae, yellow Z. brevis. Z. passerinii is used as an outgroup.

    (PDF)

    S2 Fig

    Alignment of original (A) and ‘deRIPed’ (B) full-length (> 3000 bp) dim2 alleles compared to the functional allele of isolate Zt469. All native copies, (functional and non-functional, except for OregS90 and CRI10) lack mutations in the DNA methyltransferase domain (position ~2,300–3,500) that are present in all non-native copies suggesting that the additional copies did not emerge from amplification of the native dim2. Black lines indicate differences to the reference.

    (PDF)

    S3 Fig. Protein alignment of eight known or presumed functional and two de-RIPed, non-functional alleles.

    (A) Cartoon of complete protein coding sequences. The conserved domains detected by homology searches are indicated above the alignment (BAH, Bromo-Adjacent Homology domain). The top four alleles (Zt467, Zt468, Zt469, Zt471) were identified in strains isolated from Aegilops, all others were isolated from wheat. Alleles from CRI10 and Zt09 are non-functional and were “de-RIPed” as described in the main text. Sequences of alleles from Zt289 and TN09 suggest the presence of several potentially functional dim2 alleles in natural populations of Z. tritici. Color scheme according to rasmol (http://www.pdg.cnb.uam.es/cursos/Barcelona2002/pages/Farmac/CMU_course/ProtG/ShapelyColors.html). (B) Complete sequence alignment of all alleles shown in the cartoon. All SNVs and indels that lead to non-synonymous changes are indicated; there are many more synonymous than non-synonymous mutations in the various alleles. The conserved ten canonical motifs found in most DNMTases are underlined and indicated with Roman numerals. Motif I is the SAM (Adomet)-binding domain, motif IV includes the catalytic site with the invariant Pro-Cys site. Motif VIII is the most variable in Zymoseptoria dim2 alleles–this region is considered a poorly conserved targeting domain in bacterial DNMTases. Amino acids indicated in bold red show variations likely caused by the deRIP procedure (i.e., C or G were introduced when T or A would have retained the conserved amino acid, e.g. TCN->CCN, Ser, conserved, to Pro, de-RIP, or CAR->CGR, Gln, conserved, to Arg, de-RIP). Amino acids shown in blue suggest the presence of two or more different alleles in the Z. tritici population; most of these differences occur at the non-conserved C-terminus. Mutation of the predominant TAG/A stop codon to CAG/A (Q) generated a short addition of nine amino acids in two alleles. In addition to the known Dim2 domains, the two BAH (aa 494–601 and 637–748) and DNMT catalytic domain (aa 694–1171), we predict several other motifs that are conserved in Dim2 proteins from a wide variety of fungi, covering all groups of ascomycetes. This includes unexpected weak similarity to a domain that may be important to the targeting of DNMT1, the mammalian maintenance DNMT, to replication foci (RFD, replication focus domain), another short motif (TIVTPF) that is present in almost all Dim2 proteins but embedded in variable sequences, a putative nuclear localization signal (NLS), and two short motifs that are nearly invariable in Dim2 proteins (FPDHR and PTRPHGVGL). The only variant amino acid that may affect function is a D->A change predicted in the deRIPed version of the non-functional Zt09 dim2 allele at the end of the second BAH domain (orange A). All other differences are predicted to have only minor, if any, consequences for Dim2 activity.

    (PDF)

    S4 Fig. Southern blots to confirm the correct integration of (A) the deletion construct for dim2 in Zt10 (Zt10Δdim2) and (B) dim2 (originating from Zt10) in Zt09 (Zt09::dim2).

    Three positive transformants (#49, #63 and #84) were found amongst the Zt09::dim2 candidates, whereas all seven candidates for Zt10Δdim2 were verified (correct transformants are highlighted in bold).

    (PDF)

    S5 Fig. Phenotypic characterization of Zt10, Zt10Δdim2, Zt09 and Zt09::dim2 in vitro.

    We compared growth phenotypes under different in vitro conditions including temperature, osmotic, oxidative, genotoxic and cell wall stress. We spotted spore dilutions of each reference isolate and three independent dim2 mutant transformants on each plate. We did not detect any noticeable differences in growth between reference and mutant strains. Previously described differences between the Z. tritici isolates Zt09 and Zt10 were observed [35].

    (PDF)

    S6 Fig. Results of wheat infection experiments with Z. tritici isolates Zt09, Zt10 and the mutants Zt09::dim2 and Zt10Δdim2 on wheat.

    (A) Zt09::dim2 strains show significantly less necrotic lesions compared to Zt09 (*** Wilcoxon rank-sum test, p-value = 2.178 x 10−7) while there is no significant difference in the quantities of necrotic lesions caused by Zt10 and Zt10Δdim2 strains. (B) Coverage with pycnidia is significantly reduced between Zt09 and Zt09::dim2 (** Wilcoxon rank-sum test, p-value = 0.003301) but not between Zt10 and Zt10Δdim2 strains. Categories for necrotic lesion and pycnidia coverage: 0 = 0%, 1 = 1–20%, 2 = 21–40%, 3 = 41–60%, 4 = 61–80%, 5 = 81–100%.

    (PDF)

    S7 Fig. Detection of cytosine methylation by enzymatic digestion and Southern blot and confirmation of bisulfite sequencing results by PCR and Sanger sequencing.

    Restriction enzyme analysis followed by Southern blots using the rDNA spacer (A) or a retrotransposon RIL2 (B) as probe. In addition to the cytosine methylation sensitive (BfuCI, +) or insensitive (DpnII, -) enzymes, we used DpnI (*) to test for the presence of adenine methylation. Zt09 and Zt150 contain a non-functional dim2, whereas the Iranian strains Zt10, Zt11 and the Z. ardabiliae strain Za17 have a functional copy. In all strains with a functional dim2 we see a clear difference between the restrictions with BfuCI and DpnII, indicating the presence of DNA methylation. In Zt09 and Zt150 this difference is not detectable except for one band that is not restricted in both strains in the rDNA blot. The genomic DNA of Zt09 treated with DpnI is not digested suggesting absence of 6mA methylation in these regions. (C) Confirmation of bisulfite sequencing by an independent bisulfite treatment followed by PCR of target loci and Sanger sequencing. Two target loci (repeated region that showed 5mC signals in all isolates) were chosen per isolate, shown are the number of detected 5mC sites in these loci (size of loci ~ 180–260 bp). N is the number of cloned PCR products that were sequenced. Based on these data we can confirm the presence of 5mC methylation in all isolates and a lower frequency in absence of a functional dim2.

    (TIF)

    S8 Fig. 5mC site preferences in CG, CHG and CHH sequence contexts.

    (A) CGA and CGC sites are preferred in CG contexts in presence of dim2, while CGA and CGG are slightly preferred targets in absence of dim2. (B) Among CHG sites, CAG sites are the predominant target sites of 5mC. For CHG and CHH contexts only data for Zt10 and Zt09::dim2 are shown, as there is no detectable methylation outside of CG contexts in absence of a functional dim2. (C) In CHH contexts, CA sites followed by CC sites have the highest methylation frequency. CT sites are almost completely devoid of 5mC.

    (PDF)

    S9 Fig. Methylation levels (A) and overlap of 5mC sites between the three replicates (B).

    (A) Methylation levels of 5mC sites (5mC reads/site) in the different mutants and replicates. Methylation levels do not drop below 50% as this was the threshold to call 5mC sites. Methylation levels are highest in Zt09, where only few CpG sites are maintained by Dnmt5. All other strains have methylation levels mostly between 70–80% indicating more heterogenity of 5mC sites within the cell populations. (B) Overlap of detected 5mC sites between replicates of the same strain. Zt10 and Zt09 replicates originate from three independent inoculations while the mutant replicates represent independent transformants. The largest differences in terms of 5mC site overlap can be observed in the Zt10Δdim2 mutant. A likely explanation is that 5mC sites are in the process of being lost in absence of dim2 and that different sites get lost at different times in the independent transformants.

    (PDF)

    S10 Fig. Expression pattern of the three (putative) DNA methyltransferases dim2, dnmt5 and rid during plant infection and in vitro in the isolates Zt10 and Zt09.

    In vitro data is only available for Zt09. Expression during infection was monitored in specific stages: A–infection establishment, B–biotrophic growth, C–transition from biotrophic to necrotrophic growth, D–necrotrophic colonization [35].

    (PDF)

    S11 Fig. Predicted domains of the three putative DNA methyltransferase proteins Dim2, Dnmt5 and Rid identified in the Zymoseptoria genomes.

    Protein sequences were analyzed with SMART [95], NCBI Blast and InterProScan [96].

    (PDF)

    S1 Table. List of Z. tritici, Z. ardabiliae, Z. brevis and Z. passerinii isolates used in this study.

    Listed are collection date, origin, information about the genome assembly and presence/absence of dim2 in each isolate.

    (XLSX)

    S2 Table. Detected copies and pairwise identity of full-length (>3,000 bp) dim2 copies in Z. tritici genomes.

    The dim2 gene of the Iranian isolate Zt469 was used as query for the blast search.

    (XLSX)

    S3 Table. Dinucleotide frequencies in transposable elements (TEs) and TE masked genomes in Z. tritici isolates and the sister species Z. brevis, Z. ardabiliae and Z. passerinii.

    (XLSX)

    S4 Table. Genes overlapping TEs and their functional annotation in Zt09.

    (XLSX)

    S5 Table. SNPs detected in Zt10 and IPO323 after 52 weeks of experimental evolution compared to the reference strain at the start of the experiment.

    (XLSX)

    S6 Table. Genome-wide occurrence of 5mC and SNPs in Zt10.

    Listed are GC and AT content, number of 5mC sites (pooled data from WGBS of all three replicates) and number of SNPs (pooled data from all 40 replicates) in 500 bp windows.

    (XLSX)

    S7 Table. PacBio genome assembly metrics of Iranian isolates Zt289 and Zt469.

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    S8 Table. List of all oligos and plasmids used in this study.

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    S9 Table. Overview of Illumina sequencing data, detected 5mC sites, and SNPs.

    (XLSX)

    S1 Text. Software and commands used for bisulfite and genome data analysis to detect 5mC sites and SNPs.

    (DOCX)

    Attachment

    Submitted filename: 012421_Responses to Reviewers.docx

    Data Availability Statement

    Sequencing raw reads (FASTQ files) of all bisulfite and genomic data and the SMRT genome assemblies generated in this study are available online at Sequence Read Archive (SRA) under BioProject ID PRJNA614493. Previously published genome assemblies are available under BioProject PRJEB33986, PRJNA638605, PRJNA639021 (Zpa63), PRJNA638553 (Zb87), PRJNA638515 (Zp13), PRJNA638382 (Za17), https://doi.org/10.5281/zenodo.3820378, PRJNA414407 (Zt05 and Zt10). The genome sequence of the reference isolate IPO323 (Zt09) is available at: http://genome.jgi.doe.gov/Mycgr3/Mycgr3.home.html. In planta RNA-seq datasets for Z. tritici Zt09 and Zt10 are available at NCBI Gene Expression Omnibus with the accession number GSE106136. In vitro RNA-seq data for Zt09 is available in the NCBI Sequence Read Archives SRX5578740 and SRX5578741.


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