Abstract
Chromosome and genome stability are important for normal cell function as instability often correlates with disease and dysfunction of DNA repair mechanisms. Many organisms maintain supernumerary or accessory chromosomes that deviate from standard chromosomes. The pathogenic fungus Zymoseptoria tritici has as many as eight accessory chromosomes, which are highly unstable during meiosis and mitosis, transcriptionally repressed, show enrichment of repetitive elements, and enrichment with heterochromatic histone methylation marks, e.g., trimethylation of H3 lysine 9 or lysine 27 (H3K9me3, H3K27me3). To elucidate the role of heterochromatin on genome stability in Z. tritici, we deleted the genes encoding the methyltransferases responsible for H3K9me3 and H3K27me3, kmt1 and kmt6, respectively, and generated a double mutant. We combined experimental evolution and genomic analyses to determine the impact of these deletions on chromosome and genome stability, both in vitro and in planta. We used whole genome sequencing, ChIP-seq, and RNA-seq to compare changes in genome and chromatin structure, and differences in gene expression between mutant and wildtype strains. Analyses of genome and ChIP-seq data in H3K9me3-deficient strains revealed dramatic chromatin reorganization, where H3K27me3 is mostly relocalized into regions that are enriched with H3K9me3 in wild type. Many genome rearrangements and formation of new chromosomes were found in the absence of H3K9me3, accompanied by activation of transposable elements. In stark contrast, loss of H3K27me3 actually increased the stability of accessory chromosomes under normal growth conditions in vitro, even without large scale changes in gene activity. We conclude that H3K9me3 is important for the maintenance of genome stability because it disallows H3K27me3 in regions considered constitutive heterochromatin. In this system, H3K27me3 reduces the overall stability of accessory chromosomes, generating a “metastable” state for these quasi-essential regions of the genome.
Author summary
Genome and chromosome stability are essential to maintain normal cell function and viability. However, differences in genome and chromosome structure are frequently found in organisms that undergo rapid adaptation to changing environmental conditions, and in humans are often found in cancer cells. We study genome instability in a fungal pathogen that exhibits a high degree of genetic diversity. Regions that show extraordinary diversity in this pathogen are the transposon-rich accessory chromosomes, which contain few genes that are of unknown benefit to the organism but maintained in the population and thus considered “quasi-essential”. Accessory chromosomes in all fungi studied so far are enriched with markers for heterochromatin, namely trimethylation of H3 lysine 9 and 27 (H3K9me3, H3K27me3). We show that loss of these heterochromatin marks has strong but opposing effects on genome stability. While loss of the transposon-associated mark H3K9me3 destabilizes the entire genome, presence of H3K27me3 favors instability of accessory chromosomes. Our study provides insight into the relationship between chromatin and genome stability and why some regions are more susceptible to genetic diversity than others.
Introduction
Chromatin structure plays an important role in genome organization and gene expression [1–3]. A well-studied hallmark of epigenetic regulation is the reversible modification of histone tails, which can alter chromatin structure [4]. Chromatin structure determines accessibility of the underlying DNA to regulatory elements, whereby tightly packed DNA, known as heterochromatin, is less accessible for DNA binding proteins and usually shows little transcriptional activity [5]. Heterochromatic regions often cluster together and are spatially separated from more transcriptionally active and accessible euchromatic regions [6]. Specific histone modifications are associated with either heterochromatic or euchromatic regions. Some of the most studied histone modifications are histone H3 lysine 9 di- or trimethylation (H3K9me2/3) and H3K27me2/3 as markers for heterochromatin and H3K4me2/3 as markers for euchromatin [7].
H3K9me2/3 is catalyzed by the histone methyltransferase KMT1 (Su[var]3–9) [8,9], in fungi also called Clr4 [10] or DIM-5 [11]. Previous studies demonstrated enrichment of this constitutive heterochromatin mark in repeat-rich regions and a clear link with the control of transposable elements (TE) and genome stability [12–14]. For example, H3K9 methylation has been shown to be involved in suppression of meiotic recombination in Arabidopsis thaliana [15] and the control of DNA methylation in Neurospora crassa [11].
H3K27me2/3, usually associated with “facultative heterochromatin”, is catalyzed by KMT6 (E[Z]) as part of the PRC2 complex [16]. In plants, fungi, and animals, this histone mark is used to generate “transcriptional memory” and is easily reversible when environmental or endogenous stimuli require organismal responses. In many organisms, H3K27 methylation is required for development and cell differentiation [17–23], and aberrant H3K7me3 distribution is prevalent in cancer cells [24–26]. In fungi, H3K27me3 correlates with subtelomeric gene silencing [22,23,27], and has been shown to play a role in development, pathogenicity, and transcriptional regulation of secondary metabolite gene clusters [21,28,29].
H3K27me3 is also a hallmark of accessory chromosomes, which are found in several fungal plant pathogens [28,30,31]. Accessory chromosomes are not essential for survival under all environmental conditions, and thus encode “quasi-essential” genes [32] that can confer selective advantages under some conditions e.g. in a specific host species, resulting in presence or absence of these chromosomes among specific individuals of a given species. They are also characterized by extensive structural rearrangements and length variation [33,34]. In some species (Fusarium oxysporum, Nectria haematococca, Alternaria alternata), accessory chromosomes increase virulence [35–38]. However, in the wheat pathogen Zymoseptoria tritici, some accessory chromosomes have been demonstrated to confer reduced fitness and virulence in planta [39], suggesting that there are other stages in the life cycle when they become important. Accessory chromosomes of fungi differ structurally from core chromosomes by higher repeat and lower gene density compared to core chromosomes and show little transcriptional activity [35,40–43]. Transcriptional silencing can be explained by their predominantly heterochromatic structure, with H3K27me3 enrichment on almost the entire chromosome and H3K9me3 covering repetitive sequences [28,30]. Centromeres and telomeres are important structural components of chromosomes. In plants, centromeres of B chromosomes, equivalents to fungal accessory chromosomes, differ from those of A chromosomes [44], but in Z. tritici centromeres, telomere repeats, and subtelomeric regions are so far by all measures near identical on core and accessory chromosomes [31]. Though accessory chromosomes are a frequent phenomenon in fungi, little is known about their origin and maintenance. Studies on chromosome stability revealed that accessory chromosomes are highly unstable, both during mitosis [36,45,46] and meiosis [47].
Here, we investigated to what extent the particular histone methylation pattern on accessory chromosomes contributes to the structural differences, transcriptional repression and instability. We shed light on the roles of H3K9me3 and H3K27me3 on genome stability in the hemi-biotrophic wheat pathogen Z. tritici that reproduces both asexually and sexually. By combining experimental evolution with genome, transcriptome and ChIP sequencing, we show that both heterochromatin-associated histone methylation marks contribute significantly, but in distinct ways, to chromosome stability and integrity. While the presence of H3K27me3 enhances chromosome loss and instability, loss of H3K9me3 promotes chromosome breakage, segmental duplications as well as the formation of new chromosomes − possibly resembling the emergence of accessory chromosomes. Taken together, our findings demonstrate the importance of constitutive heterochromatin for maintaining genome stability and gene silencing as well as an unexpected destabilizing influence of facultative heterochromatin on mitotic accessory chromosome transmission. The presence of eight accessory chromosomes in the reference isolate IPO323 makes Z. tritici an excellent model to study accessory chromosome characteristics and dynamics, which relates to general interest in chromosome maintenance in cancer or other aneuploid cell types.
Results
Deletion of histone methyltransferase encoding genes kmt1 and kmt6 in Zymoseptoria tritici
To investigate the impact of heterochromatin on fitness, transcription and genome stability in Z. tritici, we generated mutants of two histone methyltransferases Kmt1 (S. pombe Clr4; N. crassa DIM-5, Fusarium KMT1, H. sapiens SUV39H1) and Kmt6 (N. crassa SET-7; Fusarium KMT6; H. sapiens EZH2). We identified the Z. tritici genes by BLAST searches with the N. crassa and F. graminearum protein coding sequences as baits. Kmt1 is encoded by kmt1 (Zt_chr_1_01919), and Kmt6 is encoded by kmt6 (Zt_chr_4_00551) [48]. We used Agrobacterium tumefaciens-mediated transformation [49] to delete both genes in a derivate of the Z. tritici reference isolate IPO323 that lost chromosome 18 during in vitro growth, here called Zt09 [31,40,41]. Correct integration of the hph gene, which confers hygromycin resistance [49], and kmt1 or kmt6 deletion were verified by PCR and Southern analyses (S1 and S2 Figs). We generated a double deletion mutant by deleting the kmt1 gene in a kmt6 deletion mutant background by using resistance to nourseothricin conferred by the nat gene [50] as an additional selection marker. We isolated several independent transformants, including eight Δkmt1, six Δkmt6 and ten Δkmt1 Δkmt6 double mutants (from here on abbreviated Δk1/k6). For further studies we selected two or three mutants of each type (S1 Table). Δkmt1 and Δkmt6 single mutants were complemented by re-integrating the previously deleted gene and a neo+ resistance marker that can confer G418 resistance at the native gene loci (S2 Fig).
We performed ChIP-seq on Zt09, Δkmt1 (Zt125-#68, -#80), Δkmt6 (Zt110-#283, -#285, -#365) and the double deletion mutant Δk1/k6 (Zt219-#23, -#116), which verified the absence of H3K9me3 in Δkmt1 and Δk1/k6, and the absence of H3K27me3 in Δkmt6 and Δk1/k6 mutants (S3 Fig), confirming that Kmt1 and Kmt6 are the only histone methyltransferases in Z. tritici responsible for H3K9 and H3K27 trimethylation, respectively. An overview of the subsequent experiments and key results are summarized in S1 Fig.
Deletion of kmt1, but not kmt6, severely impacts in vitro and in planta growth
To assess if deletion of kmt1 and kmt6 has an impact on in vitro growth or pathogenicity on wheat, we performed comparative growth and virulence assays comparing the mutants to the wild type Zt09. To compare growth rates, the reference strain Zt09, deletion and complemented strains were grown in liquid YMS cultures and the OD600 was measured until cells reached stationary phase. Overall, the Δkmt1 strains and Δk1/k6 double deletion mutants showed significantly reduced growth in vitro (S4 Fig). The Δkmt6 mutants and both kmt1+ and kmt6+ complementation strains showed no significant differences in growth compared to Zt09 (Wilcoxon rank-sum test, p-values: Δkmt1 0.025; Δkmt6 0.42; Δk1/k6 0.005; kmt1+ 0.28; kmt6+ 0.63).
We furthermore assessed the tolerance of the Δkmt1, Δkmt6 and Δk1/k6 mutants to abiotic stress in vitro by testing temperature, cell wall, oxidative, and genotoxic stressors. As observed in the growth assays, the Δkmt1 and Δk1/k6 double deletion mutants showed overall reduced growth under all tested conditions (S5 Fig), especially under osmotic stress induced by high sorbitol concentrations. The Δkmt6 mutants showed little differences compared to Zt09; however, elevated temperatures often, but not always, led to increased melanization in the Δkmt6 mutants suggesting involvement of H3K27me3 in the response to temperature stress. This phenotype was reversed in the complemented kmt6+ strain (S6 Fig).
To study the effect of the histone methyltransferase deletions on the ability to infect wheat (Triticum aestivum), we inoculated leaves of the susceptible cultivar Obelisk with single cell cultures of Δkmt1, Δkmt6, the Δk1/k6 double deletion mutant and Zt09. The infection assays demonstrated significant impact of both H3K27me3 and H3K9me3 on virulence. While the number of pycnidia and necrotic leaf areas only decreased in the Δkmt6 mutants, wheat infection by Δkmt1 and Δk1/k6 mutants resulted in almost no symptoms (S7 Fig). If any symptoms developed, these appeared considerably later than symptoms caused by the reference Zt09 and the Δkmt6 mutants (S7 Fig).
Loss of H3K9me3 allows H3K27me3 to invade repeat-rich regions
We next addressed how the deletion of kmt1 and kmt6 impacts the distribution of three histone modifications (H3K4me2, H3K9me3, H3K27me3) by ChIP-seq (S2 Table). We previously found that H3K4me2 is associated with gene-rich, transcriptionally active regions on core chromosomes, that constitutive heterochromatin, enriched with H3K9me3, forms almost exclusively on repetitive elements, and that facultative heterochromatin, enriched with H3K27me3, forms nearly on the entire length of all accessory chromosomes and the subtelomeric regions of core chromosomes [31] (Fig 1).
We computed the sequence coverage of each histone modification per chromosome to estimate the global effects on chromatin structure. The absence of one histone methylation mark had differential effects on the distribution of the other two methylation marks on core and accessory chromosomes (Fig 1, Table 1). In the Δkmt1 mutants, the amount of sequences enriched with H3K27me3 decreases on the accessory chromosomes when compared to Zt09, representing the opposite trend to the observations made on the core chromosomes, where we observed an increased amount of sequences enriched in H3K27me3 (Fig 1, Table 1). However, this effect varies on different accessory chromosomes (Table 1, Fig 2). The difference in H3K27me3 distribution can be explained by relocation of H3K27me3 to former H3K9me3-associated sequences in the Δkmt1 mutant (Fig 1). While fewer genes are associated with H3K27me3 (Fig 2), more TEs show H3K27me3 enrichment in the Δkmt1 mutant (Fig 2) compared to Zt09. These observations reveal that loss of H3K9me3 promotes H3K27me3 relocation to TEs and confers simultaneous loss of H3K27me3 at positions with this histone mark in the reference strain. The subtelomeric H3K27me3 enrichment, however, is not affected by this relocation, which explains why we observe opposite effects on core and accessory chromosomes, as core chromosomes predominantly show H3K27me3 enrichment in subtelomeric regions while accessory chromosomes show overall enrichment with H3K27me3. H3K4me2 increases on both core and accessory chromosomes, with accessory chromosomes showing a considerably higher relative increase compared to H3K4me2 in Zt09 (Table 1).
Table 1. Percentage of sequence coverage (significantly enriched regions) of core and accessory chromosomes with H3K4me2, H3K9me3 and H3K27me3 relative to the chromosome length.
Core | Accessory | ||||||
---|---|---|---|---|---|---|---|
Modification | mean | Min | max | mean | min | max | |
Zt09 | H3K4me2 | 23.99 | 17.76 | 31.26 | 5.03 | 1.19 | 9.44 |
△kmt1 | H3K4me2 | 25.25 | 18.51 | 32.78 | 9.68 | 5.67 | 17.32 |
△kmt6 | H3K4me2 | 22.74 | 16.83 | 29.54 | 6.22 | 3.32 | 10.97 |
△k1/k6 | H3K4me2 | 25.39 | 19.11 | 32.69 | 12.28 | 8.47 | 19.96 |
Zt09 | H3K9me3 | 20.14 | 10.84 | 28.71 | 41.03 | 30.78 | 55.97 |
△kmt6 | H3K9me3 | 20.30 | 11.24 | 28.27 | 36.59 | 26.71 | 55.74 |
Zt09 | H3K27me3 | 9.74 | 3.74 | 31.72 | 92.53 | 67.07 | 99.20 |
△kmt1 | H3K27me3 | 14.99 | 6.08 | 32.77 | 77.55 | 56.44 | 96.82 |
Conversely, H3K9me3 is not affected by loss of H3K27me3 in the Δkmt6 mutants, and we did not detect relocation of H3K9me3 as well as only minor differences in coverage. H3K4me2 enrichment does increase on accessory chromosomes, but not to the same extent as observed in the Δkmt1 mutants and it slightly decreases on core chromosomes (Table 1), suggesting minor effects of Δkmt6 on transcriptional activation. In the Δk1/k6 double deletion mutants, where both H3K9me3 and H3K27me3 are not present, we detected an increase in H3K4me2, similar to the Δkmt1 single mutants on core chromosomes and slightly higher on the accessory chromosomes.
In summary, loss of H3K9me3 has a great impact on H3K27me3 distribution, while loss of H3K27me3 has little influence on H3K9me3. Deletion of kmt1 promotes large scale relocalization of other histone modifications, suggesting more dramatic effects on genome organization and transcriptional activation than deletion of kmt6.
H3K27me3 has little effects on transcriptional activation, while loss of H3K9me3 enhances activation of TEs
In other species, H3K27me3 plays a crucial role in gene regulation, while H3K9me3 is involved in silencing of TEs [13,21,28]. Based on our observations from ChIP-seq data, we hypothesized that the two histone methylation marks have similar effects in Z. tritici. To test this hypothesis directly, we sequenced transcriptomes of two biological replicates of Zt09 and two independent transformants of the Δkmt1, Δkmt6, and Δk1/k6 deletion mutants after in vitro growth for 2 days representing exponential growth (S2 Table).
First, we compared the total number of expressed genes. In total, 11,839 genes are annotated in the reference isolate [48]. Out of these, 8,906 are expressed (RPKM >2) in Zt09 during in vitro growth. The number of expressed genes is higher in both the Δkmt1 (9,259) and the Δk1/k6 (9,459) mutants, but to our surprise, lower in the Δkmt6 (8,717) mutants (Fig 3A, S3 Table). This is in contrast to previous studies, where deletion of kmt6 resulted in activation of otherwise silenced gene clusters and overall transcriptional activation [21,23,27,28]. We focused on differential gene expression between core and accessory chromosomes because genes on accessory chromosomes are silent under most conditions that have been tested. While 80% of genes on core chromosomes are expressed in Zt09, only ~25% of genes located on accessory chromosomes display transcriptional activity. Transcription of genes on accessory chromosomes is higher in all mutant strains, ~40–50% (Fig 3A, S3 Table), revealing gene activation on accessory chromosomes specifically upon removal of H3K27me3 or H3K9me3.
We further explored patterns of differential gene expression. Genome wide, 1,365 predicted genes were associated with H3K27me3 and 258 genes with H3K9me3 in Zt09 and the vast majority of these genes shows little transcriptional activity. Interestingly, only a small fraction of genes associated with these histone marks were activated or differentially expressed in the mutants (S4 Table). This indicates that loss of any of these methylation marks is not sufficient for transcriptional activation suggesting additional mechanisms involved in the transcriptional regulation of these genes.
In other fungi, removal of H3K9me3 and especially H3K27me3 was linked to the activation of certain gene classes, in particular secondary metabolite gene clusters [21,28,29]. To assess if genes with a specific function are enriched amongst the activated genes, we performed Gene Ontology (GO) enrichment analysis (topGO, Fisher’s exact test, p-value < 0.01). Consistent with the higher total number of expressed genes, we found the majority of differentially expressed (DE) genes (DESeq2, Padj < 0.001, │log2 fold-change│ > 2) to be significantly upregulated in the Δkmt1 mutant (365 of 477) and in the Δk1/k6 mutant (368 of 477), whereas a majority of DE genes was downregulated in the Δkmt6 mutant (188 of 310) (S5 Table).
We found two GO categories enriched amongst upregulated genes in Δkmt1 and Δk1/k6 mutants: DNA integration (GO:0015074) and RNA-dependent DNA replication (GO:0006278). Predicted functions assessed by BLAST analyses of the proteins encoded by the upregulated genes in these categories include reverse transcriptases, integrases, recombinases and genes containing transposon- or virus-related domains (S6 Table). Consistent with these findings, we detected an increased number of transcripts originating from annotated TEs in the Δkmt1 and Δk1/k6 mutants, but not in Δkmt6 mutants (Fig 3B). This is in agreement with the strong association of TEs with H3K9me3 [31]. Transposons in subtelomeric regions and on accessory chromosomes show additional H3K27me3 enrichment. Removal of H3K9me3, but not of H3K27me3, appears to be responsible for transposon activation but transcription is further enhanced when both, H3K27me3 and H3K9me3 are removed in the Δk1/k6 mutant (Fig 3B; S7 Table).
Amongst the genes upregulated in the Δkmt6 mutant no GO categories were enriched but based on the previous finding of secondary metabolite activation, we further investigated possible roles of H3K9me3 and H3K27me3 in secondary metabolite gene regulation. Therefore, we identified putative secondary metabolite clusters in the Z. tritici reference genome using antiSMASH (antibiotics & Secondary Metabolite Analysis SHell) [51]. We found a total of 27 secondary metabolite clusters, all located on core chromosomes, and merged the identified genes with the existing gene annotation (S8 Table). Except for the activation of one putative cluster on chromosome 7 in the Δk1/k6 mutant, we did not identify any differential expression of genes in secondary metabolite clusters. Based on these findings, we conclude that, unlike in other fungi [21,29], H3K9me3 and H3K27me3 are not involved in transcriptional regulation of secondary metabolites in Z. tritici under the tested conditions.
Taken together, removal of these histone modifications has little consequences for the expression of the vast majority of associated genes. As expected from its localization, loss of H3K9me3 increases expression of TEs while absence of H3K27me3 by itself has very little impact on transcriptional activation, thus suggesting that in this organism H3K27me3 does not delineate stereotypical “facultative heterochromatin” as removal of H3K27me3 does not activate gene expression.
Loss of H3K27me3 drastically reduces the loss of accessory chromosomes
Chromosome landmarks, namely centromeric and pericentric regions, telomere repeats and subtelomeric regions are similar on core and accessory chromosomes in Z. tritici [31]. Accessory chromosomes are enriched with TEs but share the same TE families as core chromosomes [48]. Nevertheless, accessory chromosomes of Z. tritici are highly unstable, both during meiosis and vegetative growth in vitro and in planta [46,47]. The most striking feature that sets these chromosomes apart is almost chromosome-wide enrichment with H3K27me3 and, as a consequence of the higher TE content, increased enrichment with H3K9me3 [31]. To test whether loss of these modifications affects genome and chromosome stability in Z. tritici, we conducted two different long-term growth or “lab evolution” experiments to study genome stability and to detect dynamics of accessory chromosome losses in strains deficient for two important chromatin marks (S8 Fig).
To assess whether the specific histone methylation pattern on accessory chromosomes contributes to instability of accessory chromosomes, we performed a short-term in vitro growth experiment over four weeks, representing ~80 asexual generations. Zt09, Δkmt6, Δkmt1 and a Δk1/k6 double deletion mutant, as well as the complemented strains kmt1+ and kmt6+ were used as progenitors in the experiment. The presence of all accessory chromosomes in the progenitor strains was verified by PCR at the beginning of the experiment. Each strain was grown in three replicate cultures and ~4% of the cell population was transferred to fresh medium every three to four days. After four weeks of growth, we plated dilutions of each culture to obtain single colonies that were subsequently screened by a PCR assay for the presence of accessory chromosomes (Table 2).
Table 2. Chromosome loss rates and frequency of individual accessory chromosome losses in the Zt091 reference strain and mutants during short-term evolution experiments.
Chromosome | Zt09 | Δkmt1 | Δkmt6 | Δk1/k6 | kmt1+ | kmt6+ |
---|---|---|---|---|---|---|
14 | 18 | 26 | 2 | 13 | 6 | 10 |
15 | 8 | 0 | 0 | 0 | 6 | 7 |
16 | 9 | 2 | 0 | 2 | 0 | 2 |
17 | 0 | 0 | 5 | 0 | 0 | 0 |
19 | 0 | 0 | 0 | 3 | 0 | 0 |
20 | 2 | 51 | 2 | 17 | 2 | 0 |
21 | 1 | 6 | 1 | 6 | 0 | 0 |
total loss | 38 | 85 | 10 | 41 | 14 | 19 |
total tested | 576 | 576 | 576 | 576 | 288 | 288 |
loss rate (%) | 6.6 | 14.8 | 1.7 | 7.1 | 4.88 | 6.94 |
1 Strain Zt09 had previously spontaneously lost chromosome 18 [41].
Previously, we showed that accessory chromosomes are lost at a rate of ~7% in Zt09 and we documented that accessory chromosomes 14, 15 and 16 are more frequently lost than others [46]. Here we demonstrate that, in comparison to Zt09, the Δkmt1 mutant showed a significantly increased chromosome loss rate (one sided Fisher’s exact test for count data, p-value = 2.7 x 10−6). Interestingly, this was not due to an overall increase of accessory chromosome loss, but rather by the dramatically increased (Fisher’s exact test, p-value = 3.7 x 10−9) frequency of loss for chromosome 20 (Table 2). The chromosome loss rate of the other accessory chromosomes was either comparable to Zt09 (Chr. 14, 17, 19, 21) or even significantly lower (Chr. 15 and 16, Fisher’s exact test, p-values = 1.2 x 10−3 and 2.5 x 10−5). This suggests a special role of H3K9me3 for the maintenance of chromosome 20.
In contrast to the Δkmt1 mutants, we detected significantly fewer chromosome losses (Fisher’s exact test, p-value = 1.2 x 10−4) in the Δkmt6 mutants. Out of 576 tested colonies, only ten had lost an accessory chromosome. This represents a four times lower chromosome loss rate compared to wild type. Therefore, absence of H3K27me3 appears to promote stability of accessory chromosomes. Interestingly, chromosome 17 was lost with the highest frequency in this mutant (5/10) but was not lost in any of the other mutant strains or in the wild type.
The double deletion mutant displayed a similar chromosome loss rate as wild type but showed a chromosome loss distribution comparable to the Δkmt1 deletion strain with chromosome 20 being lost significantly more often (Fisher’s exact test, p-value = 1.23 10−4), and chromosomes 15 and 16 lost less frequently (Fisher’s exact test, p-values = 1.95 x 10−3 and 9 x 10−3, respectively). This suggests that the increase in chromosome stability in Δk1/k6 compared to Δkmt1 is due to the removal of the destabilizing H3K27me3.
We considered possible reasons for the high rates of loss of chromosome 20 in Δkmt1 and Δk1/k6 mutant strains by a detailed analysis of TE content, genes and histone methylation redistribution on this chromosome. The proportion of TEs on chromosome 20 is ~23% and thereby considerably lower than the average across the eight accessory chromosomes (33.6% TE content). Consistent with patterns found on the other accessory chromosomes we find no enrichment of specific TE families [48]. Out of the 91 genes on chromosome 20, none has known or even predicted functions; it is therefore difficult to correlate potential gene functions of any of these genes to the enhanced loss rate. Chromosome 20 is one of the chromosomes that exhibits the highest extent of H3K27me3 redistribution (Fig 2) and loss of H3K27me3 in the Δk1/k6 double mutant decreases the high loss rate. However, chromosome 20 is still lost at a higher rate in Δk1/k6 compared to Zt09, indicating that other, so far unknown, factors are involved in this instability. Moreover, not all accessory chromosomes that exhibit H3K27me3 redistribution (19 and 21) are lost at higher rates, and not all accessory chromosomes are lost at the same rate in the Zt09 wild type, despite being enriched with H3K27me3, further suggesting that additional mechanisms are involved in the instability of chromosome 20.
Both complemented strains, kmt1+ and kmt6+, showed chromosome loss rates similar to the wild type strain Zt09 and the highest loss rates for the largest accessory chromosomes (Table 2). This strongly suggests that indeed the absence of the two histone methyltransferases and the respective histone marks influence accessory chromosome dynamics.
In summary, we found that loss of H3K27me3 increases accessory chromosome stability, suggesting a mechanistic explanation for how the widespread H3K27me3 enrichment on accessory chromosomes in normal cells contributes to the previously observed extraordinary chromosome instability.
Loss of H3K9me3 promotes large-scale structural rearrangements mediated by TE instability and redistribution of H3K27me3
In a second evolution experiment, we addressed overall genome stability over a longer period of mitotic growth. The single mutants (Δkmt1 and Δkmt6) and Zt09 were grown in triplicate cultures for ~6 months, representing ~500 asexual generations. We sequenced full genomes of progenitors and the evolved populations after 50 transfers to identify structural variations that arose during the experiment. All strains were sequenced to ~100x coverage by Illumina sequencing, and paired-end reads were mapped to the reference genome of IPO323 and normalized to 1x coverage for visualization [40].
We focused our analysis on large scale chromosomal rearrangements such as duplications, deletions, and translocations. Structural variation was detected computationally from sequence alignments, validated experimentally by PFGE and Southern blotting, and additional rearrangements were identified by manual screening of mapped reads. Analysis of progenitor genomes revealed, except for the already known absence of chromosome 18 [41] and the previously described variations (point mutations and short indels) in Zt09 compared to the IPO323 reference genome [46], lower sequence coverage (~0.6x) on chromosome 17 in the Δkmt6 progenitor strain (Fig 4A). This difference can only be explained by a lower copy number in the sequenced pool of cells, suggesting loss of chromosome 17 in ~40% of the sequenced Δkmt6 cells, a chromosome loss that likely occurred at the very beginning of the experiment.
Unexpectedly, the Δkmt1 progenitor displayed a long high-coverage (~1.6x) region on chromosome 1 (Fig 4), suggesting that the region had been duplicated in ~60% of the sequenced Δkmt1 cells. Furthermore, this genome has a shorter chromosome 6 and does not contain chromosome 20 (Fig 4A, S9 Table). The presence of this kind of structural variation in the progenitor strain is indicative for a high degree of genome instability in absence of Kmt1. Analysis of discordant reads mapped to both ends of the ~1 Mb high-coverage region on chromosome 1 revealed telomeric repeats (TTAGGGn), suggesting the formation of de novo telomeres. Pulsed-field gel electrophoresis (PFGE) and Southern analyses confirmed the formation of two new independent chromosomes both containing the high-coverage region and either the right or left arm of chromosome 1 (Fig 4C). The breakpoint on the left side coincides with a large TE-rich region that is associated with H3K9me3 in the wild type. Both breakpoints coincide with or are in close proximity to regions that show enrichment of relocated H3K27me3 in the Δkmt1 mutant (Fig 4B), suggesting a possible link between relocated H3K27me3 and genome instability.
After six months of vegetative growth, we sequenced the pooled genomes of all nine ‘evolved’ populations. We found no evidence for large-scale genomic rearrangements in any of the evolved Zt09 or Δkmt6 populations (Fig 5A). Apart from seven small deletions or duplications (S9 Table), the largest structural variation found in one of the evolved Δkmt6 populations (Δkmt6 50–2), was a partial loss (~18 kb) at the right end of chromosome 15. However, we found variation in the read coverage of accessory chromosomes in all sequenced genomes indicating whole chromosome losses in individual cells of the sequenced population. The distinct dynamics of individual accessory chromosome losses were described in the previous section as part of the short-term growth results (Table 2).
In contrast to the few variations detected in the Zt09 and Δkmt6 populations, we found numerous large-scale high-coverage regions on different core chromosomes, chromosome breakages followed by de novo telomere formation, chromosomal fusions, as well as several smaller deletions and duplications in the evolved Δkmt1 populations (Fig 5A, S9 Table). All three evolved Δkmt1 populations have large duplicated regions on chromosome 1 (Fig 6), but their locations as well as the resulting structural variations differ from the one identified in the progenitor strain (Fig 6A). This can be explained by independent events, as not all Δkmt1 progenitor cells underwent the rearrangement of chromosome 1 (Fig 4C), or by continuous structural rearrangement events as a consequence of the presence of large duplicated regions in the genome. Analyses of the affected regions and breakpoints indicate a connection between the structural variations of progenitor (compared to the reference) and evolved strains. In all evolved Δkmt1 populations, duplicated regions fully or partially overlap with the high-coverage region of the progenitor strain (Fig 6A–6D).
Since populations reflect a mixture of distinct genotypes, we also sequenced three single Δkmt1 clones originating from the populations from transfer 50 to characterize the structural variation in more detail (Fig 5B). The single clones were selected based on different PFGE karyotypes (S9 Fig) and originated from population Δkmt1-50-1 (Δkmt1-50-1-1) and Δkmt1-50-2 (Δkmt1-50-2-1 and Δkmt1-50-2-2). As two of these single clones (Δkmt1-50-1-1 and Δkmt1-50-2-2) largely resemble the genotypes found in their respective populations, we conclude the presence of a predominant genotype in each evolved replicate population. However, Δkmt1-50-2-1 clearly differs from this genotype and therefore reveals the existence of additional, rarer genotypes in the evolved populations. Relatively small deletions and duplications (up to 30 kb) as well as chromosome breakage followed by de novo telomere formation were found on almost all chromosomes. These occurred mainly linked to annotated TEs (S10 Table) whereby loss of H3K9me3 likely promoted instability. However, major rearrangements, including chromosomal fusions, were always linked to large segmental duplications (S10 Fig). In two strains we detected higher coverage of entire core chromosomes indicating core chromosome duplications (Fig 5B). Results from read coverage (S10 Table) and PCR analyses indicate that Δkmt1-50-2-2, as well as the majority of the Δkmt1-50-2 population, may have undergone a whole genome duplication.
To investigate whether the underlying sequence is involved in the formation of large-scale rearrangements, we analyzed the breakpoints of each duplicated region. The location of breakpoints does not show a clear TE-associated pattern as observed for the smaller deletions or chromosome breakages. Out of 28 analyzed breakpoints, only seven are directly located within annotated TEs, while thirteen fall into genes, seven are intergenic and one is located in the centromere (S11 Table). Considering all structural rearrangements in the three sequenced single clones, we found that out of 62 events, 34 were associated (direct overlap or <5 kb distance) to regions that show enrichment for H3K27me3 (S12 Table). Based on these observations, we hypothesize that two non-exclusive pathways, namely TE-associated instability caused by loss of H3K9me3 or invasion of H3K27me3, may serve as initial events, which are followed by continuous rearrangements possibly caused by increased mitotic recombination activity and deficiency in DNA repair resulting in a spectrum of structural variation (S11 Fig).
Discussion
H3K27me3 destabilizes accessory chromosomes
We investigated the effects of loss of two important heterochromatin-associated histone modifications, H3K9me3 and H3K27me3, on chromatin organization, transcription and genome stability and characterized phenotypes of the deletion mutants. Loss of H3K9me3 allows relocalization of H3K27me3 in kmt1 deletion mutants, which has great impact on genome and chromosome stability, resulting in numerous large-scale rearrangements. In contrast, the genomes of evolved Δkmt6 and Zt09 strains revealed only few and relatively minor changes. Unexpectedly, the presence of H3K27me3 impacts chromosome stability by either destabilizing whole chromosomes in normal cells, supported by the high loss-rate in the reference strain compared to the Δkmt6 mutants, or by mislocalization as shown by the increased sequence instability in the Δkmt1 mutants. Taken together, enrichment with H3K27me3 in wild type cells is a main driver of mitotic chromosome instability.
We propose different scenarios for how chromosomes may get lost during mitosis and how H3K27me3 may be linked to these processes. For example, accessory chromosomes may not be accurately replicated whereby only one sister chromatid is transmitted. Alternatively, non-disjunction of sister chromatids during mitosis produces one cell with two copies and one cell lacking the respective chromosome. Previous cytology on Z. tritici strains expressing GFP-tagged CENPA/CenH3 protein suggested that core and accessory chromosomes may be physically separated in the nucleus [31]. Previous studies showed that H3K27me3-enriched chromatin localizes near the nuclear periphery, and loss of H3K27me3 enables movement of this chromatin to the nucleus core in mammals and fungi [52,53]. Proximity to the nuclear membrane and heterochromatic structure can furthermore result in differential, and often late, replication timing [54,55]. Loss of H3K27me3 and the correlated movement to the inner nuclear matrix may alter replication dynamics of accessory chromosomes resulting in higher rates of faithfully replicated chromosomes and lower rates of mitotic loss (Fig 7).
Heterochromatic regions, especially associated with H3K27me3, tend to cluster together and form distinct foci in the nucleus of Drosophila melanogaster visualized by cytology [56,57], and loss of H3K27me3 reduces interaction between these regions [58]. We hypothesize that enrichment of H3K27me3 on the entire accessory chromosomes maintains physical interactions that persist throughout mitosis. This may decrease the efficiency of separation of sister chromatids resulting in loss of the chromosome in one cell and a duplication in the other cell. So far, we have focused our screening on chromosome losses but determining the exact rates of accessory chromosome duplications is necessary to test this hypothesis. Genome sequencing of Z. tritici chromosome loss strains revealed that duplications of accessory chromosomes can occur [46]. Similarly, B chromosomes in rye are preferentially inherited during meiosis by non-disjunction of sister chromatids during the first pollen mitosis [59], indicating that deviation from normal chromosome segregation occurs. Accessory chromosomes are commonly found in natural isolates of Z. tritici, despite the high loss rates we demonstrated during mitotic growth [46]. This observation implies the presence of other mechanisms that counteract the frequent losses of accessory chromosomes. Recent analyses of meiotic transmission showed that unpaired accessory chromosomes are transmitted at higher rates in a uniparental way [60,61]. We propose that H3K27me3 is involved in accessory chromosome instability and transmission both during mitosis and meiosis by influencing nuclear localization of chromosomes and thereby altering replication or transmission (Fig 7). Future analyses with fluorescently tagged core and accessory chromosomes and by chromosome conformation capture (Hi-C) will shed light on nuclear interactions and chromosome transmission dynamics. As not all accessory chromosomes, despite being enriched with H3K27me3, are lost at the same rate, we note that additional mechanisms likely contribute to accessory chromosome dynamics.
H3K9me3 loss allows invasion by H3K27me3 and results in genome instability
While loss of H3K27me3 resulted in only minor differences to wild type growth and, unexpectedly, rather promoted than decreased genome stability, we detected a high number of smaller (up to 30 kb) deletions and duplications, chromosome breakages and several gross chromosomal rearrangements linked to large duplications in the Δkmt1 mutants. Absence of H3K9me2/3 has been associated with chromosome and genome instability in other organisms [13,14,62,63]. Smaller deletions, duplications and chromosome breakages resulting in shortened chromosomes due to loss of chromosome ends that we identified in the Δkmt1 mutants, correlate with TEs, enriched with H3K9me3 in wild type. Replication of heterochromatin-associated DNA is challenging for the cell as repetitive sequences may form secondary structures that can stall the replication machinery [64]. Consequently, instability of repeated sequences has been linked to errors during DNA replication [65–67]. Furthermore, the structural variation that arises depends on the mode of DNA repair following the DNA damage [68,69]. The structural rearrangements detected in the Δkmt1 mutants indicate that repair of double-strand breaks involves both non-homologous end joining and de novo telomere formation. We propose that the main factor for genome instability is replication-associated instability of repeated sequences subsequently promoting the formation of large-scale rearrangements (S11 Fig).
Not all breakpoints of rearrangements, especially of the large duplicated sequences, were associated with TEs, however. We found that duplicated sequences in the experimentally evolved Δkmt1 mutants fully or partially overlap with the duplicated regions of the Δkmt1 progenitor strain. This suggests that structural variations are subject to continuous rearrangements, resulting in rearrangements no longer directly linked to the initial event. We note that the rearrangements and genotypes we detected are the result of selection during our long-term growth experiments and thus do not necessarily reflect the full spectrum of rearrangements occurring in Δkmt1 mutants; many additional structural variants may have disappeared quickly from the population or included lethal events.
Concomitant with loss of H3K9me3 in the Δkmt1 strains, we found relocalization of H3K27me3 to former H3K9me3 regions. A similar redistribution of H3K27me3 in absence of heterochromatin factors has been reported in plants and animals [70–72] and other fungi [22,27,73]. In N. crassa, redistribution of H3K27me3 in a Δkmt1 (dim-5) mutant background results in severe growth defects and increased sensitivity to genotoxic stress that can be rescued by elimination of H3K27me3, indicating that aberrant H3K27me3 distribution severely impacts cell viability [27]. Although we did not see rescue of phenotypic defects observed in planta or in in vitro stress assays in the Δk1/k6 double mutants, the chromosome-loss rate was reduced compared to Δkmt1 mutants, suggesting a stabilizing effect when H3K27me3 is absent. We found that some breakpoints of the rearrangements in the Δkmt1 mutants without H3K9me3 also show enrichment with the invading H3K27me3. This finding also suggests that sequences associated with H3K27me3 are more susceptible to genome instability. Regions enriched with H3K27me3 have been shown to exhibit a high degree of genetic variability in form of mutations, increased recombination, or structural variation compared to the rest of the genome [21,23,30,31,74–76]. Experimental evolution in Fusarium fujikuroi showed that increased H3K27me3 levels in subtelomeric regions coincided with increased instability [77] and we previously detected a highly increased rate of chromosomal breakage under stress conditions in subtelomeric H3K27me3 regions in Z. tritici [46]. These observations together with our findings strongly indicate that H3K27me3 plays a pivotal role in decreasing genome stability.
In summary, the presence of Kmt1 and H3K9me3 respectively, is essential to maintain genome integrity in this fungus. TE-mediated rearrangements may be involved in the genetic variability detected in Z. tritici isolates [78–80] and have been suggested as drivers of genome evolution in various species [81–83]. Our findings concerning the role of H3K9me3 for genome stability provide a basis for future studies focusing on the influence of heterochromatin on structural genome rearrangements using Z. tritici as a model organism. We found that, unlike for H3K9me3, presence and not absence of H3K27me3 is linked to genome instability. Surprisingly, loss of H3K27me3 does not result in dramatic changes of overt phenotypes and is also not clearly linked to transcriptional activation in Z. tritici. This allowed us to uncouple the transcriptional and regulatory effects of H3K27me3 from the influence on chromatin stability and will in the future result in further mechanistic insights on the influence of histone modifications on chromosome stability.
Materials and methods
Culturing conditions of fungal and bacterial strains
Zymoseptoria tritici strains were cultivated on solid (2% [w/v] Bacto agar) or in liquid YMS medium (0.4% [w/v] yeast extract, 0.4% [w/v] malt extract, 0.4% [w/v] sucrose). Liquid cultures were inoculated from plate or directly from glycerol stocks and grown for 3–4 days at 18°C in a shaking incubator at 200 rpm. Plates were inoculated from glycerol stocks and grown for 5–6 days at 18°C. Escherichia coli TOP10 cells were grown overnight in dYT (1.6% [w/v] tryptone, 1% [w/v] yeast extract, 0.5% [w/v] NaCl and 2% Bacto agar for solid medium) supplemented with antibiotics for plasmid selection (40 μg/mL kanamycin) at 37°C and at 200 rpm for liquid cultures. Agrobacterium tumefaciens strain AGL1 was grown in dYT containing rifampicin (50 μg/mL) and carbenicillin (100 μg/mL) supplemented with antibiotics for plasmid selection (40 μg/mL kanamycin) at 28°C at 200 rpm in liquid culture for 18 h and on plate at 28°C for two days.
Transformation of Z. tritici
Z. tritici deletion and complementation strains were engineered using A. tumefaciens-mediated transformations as described before [49,84]. Flanking regions of the respective genes were used to facilitate homologous recombination for integration at the correct genomic location. The plasmid pES61 (a derivate of the binary vector pNOV-ABCD [49]) was used for targeted gene deletion and complementation. Plasmids were assembled using a restriction enzyme-based approach or Gibson assembly [85]. Plasmids were amplified in E. coli TOP10 cells and transformed in the A. tumefaciens strain AGL1 as described previously [86]. Gene deletions of kmt1 (Zt09_chr_1_01919) and kmt6 (Zt09_chr_4_00551) were facilitated by replacement of the respective ORF with a hygromycin resistance cassette (hph). The kmt1/kmt6 double deletion mutant was constructed by integrating a nourseothricin resistance cassette (nat) replacing kmt1 in a kmt6 deletion mutant background. Complementation constructs containing the respective gene and a G418 resistance cassette (neo) were integrated at the native loci in the deletion strains. All plasmids and strains constructed in this study are listed in S1 Table. Transformed strains were screened by PCR for correct integrations of the construct followed by Southern blot [87] with probes generated by DIG labeling (Roche, Mannheim, Germany) following manufacturer’s instructions.
DNA isolation for PCR screening and southern blotting
For rapid PCR screening (candidates for transformation and chromosome loss), a single Z. tritici colony was resuspended in 50 μL of 25 mM NaOH, incubated at 98°C for 10 min and afterwards 50 μL of 40 mM Tris-HCl pH 5.5 were added. Four μl of the mix was used as template for PCRs. For DNA extraction for Southern blotting, we used a standard phenol-chloroform extraction protocol [88] for DNA isolation.
Phenotypic characterization in vitro
For the in vitro growth assays, liquid YMS cultures were inoculated with 100 cells/μL (OD600 = 0.01); cells were grown in 25 mL YMS at 18°C and 200 rpm. For each mutant and complementation strain, two transformants (biological replicates), and three replicate cultures per transformant (technical replicates) were used. For the reference strain Zt09, two separate pre-cultures were grown as biological replicates and each pre-culture was used to inoculate three replicate cultures. OD600 was measured at different time points throughout the experiment until the stationary phase was reached. The R package growthcurver [89] was used to fit the growth curve data enabling to compare in vitro growth of the different strains.
To test the tolerance of mutant and reference strains towards different stressors, we performed an in vitro stress assay on YMS plates. Each plate contained additives constituting different stress conditions. Cell suspensions containing 107/108 cells/mL and a tenfold dilution series down to 100 cells/mL were prepared; 3 μL of each dilution were pipetted on solid YMS containing the following additives: 0.5 M NaCl, 1 M NaCl, 1 M sorbitol, 1.5 M sorbitol, 1.5 mM H2O2, 2 mM H2O2, 300 μg/mL Congo red, 0.01% MMS (methyl methane sulfonate), 0.025% MMS, 1 μg/mL actinomycin D and 1.5 μg/mL actinomycin D. Furthermore, we included a H2O-agar (2% bacto agar) plate. All plates were incubated at 18°C for six days, except for one YMS plate that was incubated at 28°C to test for thermal stress responses.
Phenotypic characterization in planta
Seedlings of the susceptible wheat cultivar Obelisk (Wiersum Plantbreeding BV, Winschoten, The Netherlands) were potted (three plants per pot) after four days of pre-germination and grown for seven more days. Single cell suspensions of mutant and reference strain were prepared (108 cells / mL in H2O with 0.1% Tween 20) and brush inoculated on a marked area of the second leaf. Following inoculation, the plants were incubated in sealed plastic bags containing ~ 1 L of H2O for 48 h providing high humidity to promote infections. Growth conditions for the plants throughout the complete growth phase and infection were 16 h light (200 μmol/m-2s-1) and 8 h dark at 20°C and 90% humidity. First appearances of symptoms, necrosis or pycnidia, were assessed by manual inspection of every treated leaf. 21 or 28 days post infection, inoculated leaves were finally screened for infection symptoms. Visual inspection of each leaf was performed to evaluate the percentage of leaf area covered by necrosis and pycnidia. Six different categories were differentiated based on the observed coverage (0: 0%, 1: 1–20%, 2: 21–40%, 3: 41–60%, 4: 61–80%, 5: 81–100%). Furthermore, automated symptom evaluation was performed by analysis of scanned images of infected leaf areas as described previously [90].
Long-term evolution experiment
For the long-term evolution experiment (~6 months), cells were inoculated directly from the glycerol stocks into 20 mL liquid YMS cultures. We used Zt09, Δkmt6 (#285) and Δkmt1 (#68), each strain grown in triplicates. Every three to four days, cells were transferred to new YMS medium. Cells were grown at 18°C and 200 rpm. For every transfer, cell density of the cultures was measured by OD600 and the new cultures were inoculated with a cell density of ~ 100 cells / μL (correlating to a transfer of 0.1% of the population). After 50 transfers, the genomes of the evolved populations and each progenitor strain were sequenced. Additionally, three genomes of single clones derived from the Δkmt1 populations after 50 transfers were sequenced to characterize genome rearrangements in more detail.
Short-term evolution experiment
For the short-term evolution experiment over a time period of four weeks, cultures were inoculated from single colonies grown on solid YMS. Zt09, Δkmt6 (#285), Δkmt1 (#80), Δk1/Δk6 (#23) double mutant, kmt1+ (#42) and kmt6+ (#11) were grown in triplicate YMS cultures. For this experiment we used a different independent Δkmt1 mutant clone (#80), as we discovered that the strain used in the previous long-term evolution experiment (#68) was missing chromosome 20. Every three to four days, 900 μL culture were transferred to 25 mL fresh YMS (correlating to a transfer of ~ 4% of the population). After four weeks of growth (including eight transfers to new medium) at 18°C and 200 rpm, cultures were diluted and plated on YMS agar to obtain single colonies. These single colonies were PCR screened for presence of accessory chromosomes as described in [46].
Pulsed-field gel electrophoresis (PFGE)
Cells were grown in YMS medium for five days and harvested by centrifugation for 10 min at 3,500 rpm. We used 5 x 108 cells for plug preparation that were washed twice with Tris-HCl, pH 7.5, resuspended in 1 mL TE buffer (pH 8) and mixed with 1 mL of 2.2% low range ultra agarose (Bio-Rad, Munich, Germany). The mixture was pipetted into plug casting molds and cooled for 1 h at 4°C. Plugs were placed to 50 mL screw cap Falcon tubes containing 5 mL of lysis buffer (1% SDS; 0.45 M EDTA; 1.5 mg/mL proteinase K [Roth, Karlsruhe, Germany]) and incubated for 48 h at 55°C while the buffer was replaced once after 24 h. Chromosomal plugs were washed three times for 20 min with 1 X TE buffer before storage in 0.5 M EDTA at 4°C. PFGE was performed with a CHEF-DR III pulsed-field electrophoresis system (BioRad, Munich, Germany). Separation of mid-size chromosomes was conducted with the settings: switching time 250 s– 1000 s, 3 V/cm, 106° angle, 1% pulsed-field agarose in 0.5 X TBE for 72 h. Large chromosomes were separated with the following settings: switching time 1000 s– 2000 s, 2 V/cm, 106° angle, 0.8% pulsed-field agarose in 1 X TAE for 96 h. Saccharomyces cerevisiae chromosomal DNA (BioRad, Munich, Germany) was used as size marker for the for mid-size chromosomes, Schizosaccharomyces pombe chromosomal DNA (BioRad, Munich, Germany) for the large chromosomes. Gels were stained in ethidium bromide staining solution (1 μg/mL ethidium bromide in H2O) for 30 min. Detection of chromosomal bands was performed with the GelDocTM XR+ system (Bio-Rad, Munich, Germany). Southern blotting was performed as described previously [87] but using DIG-labeled probes generated with the PCR DIG labeling Mix (Roche, Mannheim, Germany) following the manufacturer’s instructions.
ChIP-sequencing
Cells were grown in liquid YMS medium at 18°C for 2 days until an OD600 of ~ 1 was reached. Chromatin immunoprecipitation was performed as previously described [91] with minor modifications. We used antibodies against H3K4me2 (#07–030, Merck Millipore), H3K9me3 (#39161, Active Motif) and H3K27me3 (#39155, Active Motif). ChIP DNA was purified using SureBeads Protein G Magnetic Beads (Bio-Rad, Munich, Germany) and, replacing phenol/chloroform extractions, we used the ChIP DNA Clean & Concentrator Kit (Zymo Research, Freiburg, Germany). We sequenced two biological and one additional technical replicate for Zt09, Δkmt1, Δkmt6, and the Δk1/k6 strains. Sequencing was performed at the OSU Center for Genome Research and Biocomputing on an Illumina HiSeq2000 or HiSeq3000 to obtain 50-nt reads and at the Max Planck Genome Center, Cologne, Germany (https://mpgc.mpipz.mpg.de/home/) on an Illumina Hiseq3000 platform obtaining 150-nt reads (S2 Table).
RNA-sequencing
For RNA extraction, cells were grown in liquid YMS at 18°C and 200 rpm for two days until an OD600 of ~ 1 was reached. Cells were harvested by centrifugation and ground in liquid nitrogen. Total RNA was extracted using TRIzol (Invitrogen, Karlsruhe, Germany) according to manufacturer’s instructions. The extracted RNA was further DNAse-treated and cleaned up using the RNA Clean & Concentrator-25 Kit (Zymo Research, Freiburg, Germany). RNA samples of two biological replicates of Zt09, Δkmt1, Δkmt6, and the Δk1/k6 double mutant were sequenced. Poly(A)-captured, stranded library preparation and sequencing were performed by the Max Planck-Genome-centre Cologne, Germany (https://mpgc.mpipz.mpg.de/home/) on an Illumina Hiseq3000 platform obtaining ~ 20 million 150-nt reads per sample (S2 Table).
Genome sequencing
Genomic DNA for sequencing was prepared as described previously [92]. Library preparation and genome sequencing of the progenitor strains used for the evolution experiments were performed at Aros, Skejby, Denmark using an Illumina HiSeq2500 platform obtaining 100-nt paired-end reads. Library preparation (PCR-free) and sequencing of the evolved populations and the three evolved single Δkmt1 mutants were performed by the Max Planck Genome Center, Cologne, Germany (https://mpgc.mpipz.mpg.de/home/) on an Illumina HiSeq3000 platform resulting in 150-nt paired-end reads (S2 Table).
Short read mapping and data analysis
A detailed list of all programs and commands used for mapping and sequencing data analyses can be found in the supplementary text S1. All sequencing data was quality filtered using the FastX toolkit ((http://hannonlab.cshl.edu/fastx_toolkit/) and Trimmomatic [93]. RNA-seq reads were mapped using hisat2 [94], mapping of ChIP and genome data was performed with Bowtie2 [95]. Conversion of sam to bam format, sorting and indexing of read alignments was done with samtools [96].
To detect enriched regions in the ChIP mappings, we used HOMER [97]. Peaks were called individually for replicates and merged with bedtools [98]. Only enriched regions found in all replicates were considered for further analyses. Genome coverage of enriched regions and overlap to genes and TEs was calculated using bedtools [98].
We used cuffdiff [99] to calculate RPKM values and to estimate expression in the different strains. Raw reads mapping on genes and TEs were counted by HTSeq [100], differential expression analysis was performed in R [101] with DESeq2 [102]. Cutoff for significantly differentially expressed genes was padj < 0.001 and |log2 fold-change| > 2. The R package topGO [103] was used to perform gene ontology enrichment analyses. Fisher’s exact test (p-value < 0.01) was applied to detect significantly enriched terms in the category ‘biological process’.
To detect structural variation in the sequenced genomes, we used SpeedSeq [104] and LUMPY [105]. All detected variation was further verified by manual visual inspection. Visualization was performed with the integrative genome browser (IGV) [106].
Supporting information
Acknowledgments
We thank all current and past members of the Environmental Genomics group for fruitful discussions and overall support.
Data Availability
Sequencing raw reads (FASTQ files) of all genomic, ChIP-seq and RNA-seq data are available online at Sequence Read Archive (SRA) under BioProject ID PRJNA494102.
Funding Statement
Research in the lab of EHS on histone modifications in Zymoseptoria tritici is funded by a fellowship from the Max Planck Society to EHS. Work on H3 lysine 27 methylation in the lab of MF was supported by NSF grants (MCB 1515998 and MCB1818006).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Goldberg AD, Allis CD, Bernstein E. Epigenetics: A Landscape Takes Shape. Cell. 2007;128: 635–638. 10.1016/j.cell.2007.02.006 [DOI] [PubMed] [Google Scholar]
- 2.Kornberg RD, Lorch Y. Chromatin structure and transcription. Annu Rev Cell Biol. 1992;8: 563–587. 10.1146/annurev.cb.08.110192.003023 [DOI] [PubMed] [Google Scholar]
- 3.Venkatesh S, Workman JL. Histone exchange, chromatin structure and the regulation of transcription. Nat Rev Mol Cell Biol. 2015;16: 178–189. 10.1038/nrm3941 [DOI] [PubMed] [Google Scholar]
- 4.Bannister AJ, Kouzarides T. Regulation of chromatin by histone modifications. Cell Res. 2011;21: 381–395. 10.1038/cr.2011.22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Harr JC, Gonzalez‐Sandoval A, Gasser SM. Histones and histone modifications in perinuclear chromatin anchoring: from yeast to man. EMBO Rep. 2016;17: e201541809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zimmer C, Fabre E. Principles of chromosomal organization: Lessons from yeast. J Cell Biol. 2011;192: 723–733. 10.1083/jcb.201010058 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Freitag M. Histone Methylation by SET Domain Proteins in Fungi. Annu Rev Microbiol. 2017;36: 413–439. [DOI] [PubMed] [Google Scholar]
- 8.Rea S, Eisenhaber F, O’Carroll D, Strahl BD, Sun ZW, Schmid M, et al. Regulation of chromatin structure by site-specific histone H3 methyltransferases. Nature. 2000;406: 593–599. 10.1038/35020506 [DOI] [PubMed] [Google Scholar]
- 9.Allis CD, Berger SL, Cote J, Dent S, Jenuwien T, Kouzarides T, et al. New Nomenclature for Chromatin-Modifying Enzymes. Cell. 2007;131(4):633–6. 10.1016/j.cell.2007.10.039 [DOI] [PubMed] [Google Scholar]
- 10.Grewal SIS, Klar AJS. Chromosomal Inheritance of Epigentic States in Fission Yeast During Mitosis and Meiosis. Cell. 1996;86: 95–101. [DOI] [PubMed] [Google Scholar]
- 11.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]
- 12.Mikkelsen TS, Ku M, Jaffe DB, Issac B, Lieberman E, Giannoukos G, et al. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells. Nature. 2007;448: 553–560. 10.1038/nature06008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zeller P, Padeken J, Van Schendel R, Kalck V, Tijsterman M, Gasser SM. Histone H3K9 methylation is dispensable for Caenorhabditis elegans development but suppresses RNA:DNA hybrid-associated repeat instability. Nat Genet. 2016;48: 1385–1395. 10.1038/ng.3672 [DOI] [PubMed] [Google Scholar]
- 14.Peters AHFM, O’Carroll D, Scherthan H, Mechtler K, Sauer S, Schöfer C, et al. Loss of the Suv39h histone methyltransferases impairs mammalian heterochromatin and genome stability. Cell. 2001;107: 323–337. [DOI] [PubMed] [Google Scholar]
- 15.Underwood CJ, Choi K, Lambing C, Zhao X, Serra H, Borges F, et al. Epigenetic activation of meiotic recombination near Arabidopsis thaliana centromeres via loss of H3K9me2 and non-CG DNA methylation. Genome Res. 2018; 10.1101/gr.227116.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Müller J, Hart CM, Francis NJ, Vargas ML, Sengupta A, Wild B, et al. Histone methyltransferase activity of a Drosophila Polycomb group repressor complex. Cell. 2002;111: 197–208. [DOI] [PubMed] [Google Scholar]
- 17.Goodrich J, Puangsomlee P, Martin M, Long D, Meyerowitz EM, Coupland G. A Polycomb-group gene regulates homeotic gene expression in Arabidopsis. Nature. 1997;386: 44–51. 10.1038/386044a0 [DOI] [PubMed] [Google Scholar]
- 18.Holec S, Berger F. Polycomb Group Complexes Mediate Developmental Transitions in Plants. Plant Physiol. 2012;158: 35–43. 10.1104/pp.111.186445 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.O’Carroll D, Erhardt S, Pagani M, Barton SC. The Polycomb -Group Gene Ezh2 Is Required for Early Mouse Development. Mol Cell Biol. 2001;21: 4330–4336. 10.1128/MCB.21.13.4330-4336.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee TI, Jenner RG, Boyer LA, Guenther MG, Levine SS, Kumar RM, et al. Control of Developmental Regulators by Polycomb in Human Embryonic Stem Cells. Cell. 2006;125: 301–313. 10.1016/j.cell.2006.02.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Connolly LR, Smith KM, Freitag M. The Fusarium graminearum histone H3 K27 methyltransferase KMT6 regulates development and expression of secondary metabolite gene clusters. PLoS Genet.; 2013;9: e1003916 10.1371/journal.pgen.1003916 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.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]
- 23.Jamieson K, Rountree MR, Lewis ZA, Stajich JE, Selker EU. Regional control of histone H3 lysine 27 methylation in Neurospora. Proc Natl Acad Sci U S A. 2013;110: 6027–32. 10.1073/pnas.1303750110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Holm K, Grabau D, Lövgren K, Aradottir S, Gruvberger-Saal S, Howlin J, et al. Global H3K27 trimethylation and EZH2 abundance in breast tumor subtypes. Mol Oncol. 2012;6: 494–506. 10.1016/j.molonc.2012.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ngollo M, Lebert A, Daures M, Judes G, Rifai K, Dubois L, et al. Global analysis of H3K27me3 as an epigenetic marker in prostate cancer progression. BMC Cancer. 2017;17: 1–8. 10.1186/s12885-016-3022-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wei Y, Xia W, Zhang Z, Liu J, Wang H, Adsay N V, et al. Loss of trimethylation at lysine 27 of histone H3 is a predictor of poor outcome in breast, ovarian, and pancreatic cancers. Mol Carcinog.; 2008;47: 701–706. 10.1002/mc.20413 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Basenko EY, Sasaki T, Ji L, Prybol CJ, Burckhardt RM, Schmitz RJ, et al. Genome-wide redistribution of H3K27me3 is linked to genotoxic stress and defective growth. Proc Natl Acad Sci U S A. 2015;112(46):E6339–48. 10.1073/pnas.1511377112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Studt L, Rösler SM, Burkhardt I, Arndt B, Freitag M, Humpf H-U, et al. Knock-down of the methyltransferase Kmt6 relieves H3K27me3 and results in induction of cryptic and otherwise silent secondary metabolite gene clusters in Fusarium fujikuroi. Environ Microbiol. 2016;18: 4037–4054. 10.1111/1462-2920.13427 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chujo T, Scott B. Histone H3K9 and H3K27 methylation regulates fungal alkaloid biosynthesis in a fungal endophyte-plant symbiosis. Mol Microbiol. 2014;92: 413–434. 10.1111/mmi.12567 [DOI] [PubMed] [Google Scholar]
- 30.Galazka JM, Freitag M. Variability of chromosome structure in pathogenic fungi-of “ends and odds.” Curr Opin Microbiol.; 2014;20: 19–26. 10.1016/j.mib.2014.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Schotanus K, Soyer JL, Connolly LR, Grandaubert J, Happel P, Smith KM, et al. Histone modifications rather than the novel regional centromeres of Zymoseptoria tritici distinguish core and accessory chromosomes. Epigenetics Chromatin.; 2015;8: 41 10.1186/s13072-015-0033-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Hutchison CA, Chuang RY, Noskov VN, Assad-Garcia N, Deerinck TJ, Ellisman MH, et al. Design and synthesis of a minimal bacterial genome. Science. 2016;351aad6253 10.1126/science.aad6253 [DOI] [PubMed] [Google Scholar]
- 33.Covert SF. Supernumerary chromosomes in filamentous fungi. Curr Genet. 1998;33: 311–319. [DOI] [PubMed] [Google Scholar]
- 34.Möller M, Stukenbrock EH. Evolution and genome architecture in fungal plant pathogens. Nat Rev Microbiol. 2017;15: 756–771. 10.1038/nrmicro.2017.76 [DOI] [PubMed] [Google Scholar]
- 35.Ma L-J, van der Does HC, Borkovich K a, Coleman JJ, Daboussi M-J, Di Pietro A, et al. Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium. Nature. 2010;464: 367–373. 10.1038/nature08850 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Miao V, Covert S, VanEtten H. A fungal gene for antibiotic resistance on a dispensable (“B”) chromosome. Science. 1991;254: 1773–1776. [DOI] [PubMed] [Google Scholar]
- 37.Van Dam P, Fokkens L, Ayukawa Y, Van Der Gragt M, Ter Horst A, Brankovics B, et al. A mobile pathogenicity chromosome in Fusarium oxysporum for infection of multiple cucurbit species. Sci Rep. 2017;7: 1–15. 10.1038/s41598-016-0028-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Johnson LJ, Johnson RD, Akamatsu H, Salamiah A, Otani H, Kohmoto K, et al. Spontaneous loss of a conditionally dispensable chromosome from the Alternaria alternata apple pathotype leads to loss of toxin production and pathogenicity. Curr Genet. 2001;40: 65–72. [DOI] [PubMed] [Google Scholar]
- 39.Habig M, Quade J, Stukenbrock EH. Forward genetics approach reveals host-genotype dependent importance of accessory chromosomes in the fungal wheat pathogen Zymoseptoria tritici. mBio. 2017;8:e01919–17 10.1128/mBio.01919-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Goodwin SB, Ben M’barek S, 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]
- 41.Kellner R, Bhattacharyya A, Poppe S, Hsu TY, Brem RB, Stukenbrock EH. Expression profiling of the wheat pathogen Zymoseptoria tritici reveals genomic patterns of transcription and host-specific regulatory programs. Genome Biol Evol. 2014;6: 1353–1365. 10.1093/gbe/evu101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Rudd JJ, Kanyuka K, Hassani-Pak K, Derbyshire M, Andongabo A, Devonshire J, et al. Transcriptome and metabolite profiling of the infection cycle of Zymoseptoria tritici on wheat reveals a biphasic interaction with plant immunity involving differential pathogen chromosomal contributions and a variation on the hemibiotrophic lifestyle def. Plant Physiol. 2015;167: 1158–85. 10.1104/pp.114.255927 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Coleman JJ, Rounsley SD, Rodriguez-Carres M, Kuo A, Wasmann CC, Grimwood J, et al. The genome of Nectria haematococca: contribution of supernumerary chromosomes to gene expansion. PLoS Genet. 2009;5: e1000618 10.1371/journal.pgen.1000618 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Jin W, Lamb JC, Vega JM, Dawe RK, Birchler JA, Jiang J. Molecular and Functional Dissection of the Maize B Chromosome Centromere. Plant Cell. 2005;17: 1412 LP–1423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Vlaardingerbroek I, Beerens B, Schmidt SM, Cornelissen BJC, Rep M. Dispensable chromosomes in Fusarium oxysporum f. sp lycopersici. Mol Plant Pathol. 2016; 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.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]
- 47.Wittenberg AHJ, van der Lee T AJ, Ben M’barek S, Ware SB, Goodwin SB, Kilian A, et al. Meiosis drives extraordinary genome plasticity in the haploid fungal plant pathogen Mycosphaerella graminicola. PLoS One. 2009;4: e5863 10.1371/journal.pone.0005863 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.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–. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Bowler J, Scott E, Tailor R, Scalliet G, Ray J, Csukai M. New capabilities for Mycosphaerella graminicola research. Mol Plant Pathol. 2010;11: 691–704. 10.1111/j.1364-3703.2010.00629.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Mehrabi R, Mirzadi Gohari A, da Silva GF, Steinberg G, Kema GHJ, de Wit PJGM. Flexible gateway constructs for functional analyses of genes in plant pathogenic fungi. Fungal Genet Biol. 2015;79: 186–192. 10.1016/j.fgb.2015.03.016 [DOI] [PubMed] [Google Scholar]
- 51.Weber T, Blin K, Duddela S, Krug D, Kim HU, Bruccoleri R, et al. AntiSMASH 3.0-A comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Res. 2015;43: W237–W243. 10.1093/nar/gkv437 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Klocko AD, Ormsby T, Galazka JM, Leggett NA, Uesaka M, Honda S, et al. Normal chromosome conformation depends on subtelomeric facultative heterochromatin in Neurospora crassa. Proc Natl Acad Sci. 2016;113: 15048–15053. 10.1073/pnas.1615546113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Harr JC, Luperchio TR, Wong X, Cohen E, Wheelan SJ, Reddy KL. Directed targeting of chromatin to the nuclear lamina is mediated by chromatin state and A-type lamins. J Cell Biol. 2015;208: 33–52. 10.1083/jcb.201405110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Heun P, Laroche T, Raghuraman MK, Gasser SM. The positioning and dynamics of origins of replication in the budding yeast nucleus. J Cell Biol. 2001;152: 385–400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Jørgensen HF, Azuara V, Amoils S, Spivakov M, Terry A, Nesterova T, et al. The impact of chromatin modifiers on the timing of locus replication in mouse embryonic stem cells. Genome Biol. 2007;8: 1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Buchenau P, Hodgson J, Strutt H, Arndt-Jovin DJ. The Distribution of Polycomb-Group Proteins During Cell Division and Development in Drosophila embryos: impact on models for silencing. Cell. 1998;141: 469–481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Messmer S, Franke A, Paro R. Analysis of the functional role of the Polycomb chromo domain in Drosophila melanogaster. Genes Dev. 1992;6: 1241–1254. [DOI] [PubMed] [Google Scholar]
- 58.Denholtz M, Bonora G, Chronis C, Splinter E, de Laat W, Ernst J, et al. Long-Range Chromatin Contacts in Embryonic Stem Cells Reveal a Role for Pluripotency Factors and Polycomb Proteins in Genome Organization. Cell Stem. 2013;13: 602–616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Banaei-Moghaddam AM, Schubert V, Kumke K, Weiβ O, Klemme S, Nagaki K, et al. Nondisjunction in Favor of a Chromosome: The Mechanism of Rye B Chromosome Drive during Pollen Mitosis. Plant Cell. 2012;24: 4124–4134. 10.1105/tpc.112.105270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Habig M, Kema G, Holtgrewe Stukenbrock E. Meiotic drive of female-inherited supernumerary chromosomes in a pathogenic fungus. eLife 2018; e40251 10.7554/eLife.40251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Fouché S, Plissonneau C, McDonald BA, Croll D. Meiosis Leads to Pervasive Copy-Number Variation and Distorted Inheritance of Accessory Chromosomes of the Wheat Pathogen Zymoseptoria tritici. Genome Biol Evol. 2018;10: 1416–1429. 10.1093/gbe/evy100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Peng JC, Karpen GH. Heterochromatic genome stability requires regulators of histone H3 K9 methylation. PLoS Genet. 2009;5(3): e1000435 10.1371/journal.pgen.1000435 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kondo Y, Shen L, Ahmed S, Boumber Y, Sekido Y, Haddad BR, et al. Downregulation of histone H3 lysine 9 methyltransferase G9a induces centrosome disruption and chromosome instability in cancer cells. PLoS One. 2008;3: e2037 10.1371/journal.pone.0002037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Voineagu I, Narayanan V, Lobachev KS, Mirkin SM. Replication stalling at unstable inverted repeats: Interplay between DNA hairpins and fork stabilizing proteins. Proc Natl Acad Sci USA. 2008;105: 9936–9941. 10.1073/pnas.0804510105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Khurana S, Oberdoerffer P. Replication stress: A lifetime of epigenetic change. Genes. 2015;6: 858–877. 10.3390/genes6030858 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Allshire RC, Madhani HD. Ten principles of heterochromatin formation and function. Nat Rev Mol Cell Biol. 2017;19: 229–244. 10.1038/nrm.2017.119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Li PC, Petreaca RC, Jensen A, Yuan JP, Green MD, Forsburg SL. Replication Fork Stability Is Essential for the Maintenance of Centromere Integrity in the Absence of Heterochromatin. Cell Rep. 2013;3: 638–645. 10.1016/j.celrep.2013.02.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Chiruvella KK, Liang Z, Wilson TE. Repair of double-strand breaks by end joining. Cold Spring Harb Perspect Biol. 2013;5: a012757 10.1101/cshperspect.a012757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Pennaneach V, Putnam CD, Kolodner RD. Chromosome healing by de novo telomere addition in Saccharomyces cerevisiae. Mol Microbiol. 2006;59: 1357–1368. 10.1111/j.1365-2958.2006.05026.x [DOI] [PubMed] [Google Scholar]
- 70.Peters AHFM, Kubicek S, Mechtler K, O’Sullivan RJ, Derijck AAHA, Perez-Burgos L, et al. Partitioning and Plasticity of Repressive Histone Methylation States in Mammalian Chromatin. Mol Cell. 2003;12: 1577–1589. [DOI] [PubMed] [Google Scholar]
- 71.Deleris A, Stroud H, Bernatavichute Y, Johnson E, Klein G, Schubert D, et al. Loss of the DNA Methyltransferase MET1 Induces H3K9 Hypermethylation at PcG Target Genes and Redistribution of H3K27 Trimethylation to Transposons in Arabidopsis thaliana. PLoS Genet. 2012;8(11): e1003062 10.1371/journal.pgen.1003062 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Murphy PJ, Cipriany BR, Wallin CB, Ju CY, Szeto K, Hagarman JA, et al. Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells. Proc Natl Acad Sci USA. 2013;110: 7772–7777. 10.1073/pnas.1218495110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Jamieson K, Wiles ET, McNaught KJ, Sidoli S, Leggett N, Shao Y, et al. Loss of HP1 causes depletion of H3K27me3 from facultative heterochromatin and gain of H3K27me2 at constitutive heterochromatin. Genome Res. 2016;26: 97–107. 10.1101/gr.194555.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Cuomo CA, Güldener U, Xu J-R, Trail F, Turgeon BG, Di Pietro A, et al. The Fusarium graminearum genome reveals a link between localized polymorphism and pathogen specialization. Science. 2007;317: 1400–1402. 10.1126/science.1143708 [DOI] [PubMed] [Google Scholar]
- 75.Seidl MF, Cook DE, Thomma BPHJ. Chromatin Biology Impacts Adaptive Evolution of Filamentous Plant Pathogens. PLoS Pathog. 2016;12: e1005920 10.1371/journal.ppat.1005920 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Fokkens L, Shahi S, Connolly LR, Stam R, Schmidt SM, Smith KM, et al. The multi-speed genome of Fusarium oxysporum reveals association of histone modifications with sequence divergence and footprints of past horizontal chromosome transfer events. bioRxiv. 2018; 10.1101/465070 [DOI] [Google Scholar]
- 77.J Janevska S, Baumann L, Sieber CMK, Münsterkötter M, Ulrich J, Kämper J, et al. Elucidation of the Two H3K36me3 Histone Methyltransferases Set2 and Ash1 in Fusarium fujikuroi Unravels Their Different Chromosomal Targets and a Major Impact of Ash1 on Genome Stability. Genetics. 2018;208: 153 LP–171 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.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]
- 79.Mehrabi R, Taga M, Kema GHJ. Electrophoretic and cytological karyotyping of the foliar wheat pathogen Mycosphaerella graminicola reveals many chromosomes with a large size range. Mycologia. 2007;99: 868–76. [DOI] [PubMed] [Google Scholar]
- 80.McDonald BA., Martinez JP. Chromosome length polymorphisms in a Septoria tritici population. Curr Genet. 1991;19: 265–271. [Google Scholar]
- 81.Feschotte C, Pritham EJ. DNA Transposons and the Evolution of Eukaryotic Genomes. Annu Rev Genet. 2007;41: 331–368. 10.1146/annurev.genet.40.110405.090448 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Barrón MG, Fiston-Lavier A-S, Petrov DA, González J. Population Genomics of Transposable Elements in Drosophila. Annu Rev Genet. 2014;48: 561–581. 10.1146/annurev-genet-120213-092359 [DOI] [PubMed] [Google Scholar]
- 83.Hedges DJ, Batzer MA. From the margins of the genome: Mobile elements shape primate evolution. BioEssays. 2005;27: 785–794. 10.1002/bies.20268 [DOI] [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(7): e1005055 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.Zwiers LH, De Waard MA. Efficient Agrobacterium tumefaciens-mediated gene disruption in the phytopathogen Mycosphaerella graminicola. Curr Genet. 2001;39: 388–393. [DOI] [PubMed] [Google Scholar]
- 87.Southern EM. Detection of specific sequences among DNA fragments separated by gel electrophoresis. J Mol Biol. 1975;98: 503–517. [DOI] [PubMed] [Google Scholar]
- 88.Sambrock J, W. Russel D. Molecular Cloning: A Laboratory Manual(3rd edition). 2001 [Google Scholar]
- 89.Sprouffske K, Wagner A. Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves. BMC Bioinformatics. 2016;17: 172 10.1186/s12859-016-1016-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Stewart EL, Hagerty CH, Mikaberidze A, Mundt C, Zhong Z, McDonald BA. An improved method for measuring quantitative resistance to the wheat pathogen Zymoseptoria tritici using high throughput automated image analysis. Phytopathology. 2016;106(7):782–788 10.1094/PHYTO-01-16-0018-R [DOI] [PubMed] [Google Scholar]
- 91.Soyer JL, Möller M, Schotanus K, Connolly LR, Galazka JM, Freitag M, et al. Chromatin analyses of Zymoseptoria tritici: Methods for chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). Fungal Genet Biol.; 2015;79: 63–70. 10.1016/j.fgb.2015.03.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.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]
- 93.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]
- 94.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]
- 95.Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9: 357–359. 10.1038/nmeth.1923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics. 2011;27: 2987–2993. 10.1093/bioinformatics/btr509 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Heinz S, Benner C, Spann N, Bertolino E, Lin YC, Laslo P, et al. Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities. Mol Cell. 2010;38: 576–589. 10.1016/j.molcel.2010.05.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.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]
- 99.Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol. 2010;28: 511–515. 10.1038/nbt.1621 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Anders S, Pyl PT, Huber W. HTSeq-A Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31: 166–169. 10.1093/bioinformatics/btu638 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Ihaka R, Gentleman R. R: A Language for Data Analysis and Graphics. J Comput Graph Stat. 1996;5: 299–314. [Google Scholar]
- 102.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15: 1–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Alexa A, Rahnenführer J, Lengauer T. Improved scoring of functional groups from gene expression data by decorrelating GO graph structure. Bioinformatics. 2006;22: 1600–1607. 10.1093/bioinformatics/btl140 [DOI] [PubMed] [Google Scholar]
- 104.Chiang C, Layer RM, Faust GG, Lindberg MR, Rose DB, Garrison EP, et al. SpeedSeq: Ultra-fast personal genome analysis and interpretation. Nat Methods. 2015;12: 966–968. 10.1038/nmeth.3505 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Layer RM, Chiang C, Quinlan AR, Hall IM. LUMPY: A probabilistic framework for structural variant discovery. Genome Biol. 2014;15: 1–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Thorvaldsdóttir H, Robinson JT, Mesirov JP. Integrative Genomics Viewer (IGV): High-performance genomics data visualization and exploration. Brief Bioinform. 2013;14: 178–192. 10.1093/bib/bbs017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Ramírez F, Ryan DP, Grüning B, Bhardwaj V, Kilpert F, Richter AS, et al. deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Res. 2016;44: W160–W165. 10.1093/nar/gkw257 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Sequencing raw reads (FASTQ files) of all genomic, ChIP-seq and RNA-seq data are available online at Sequence Read Archive (SRA) under BioProject ID PRJNA494102.