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      Hexose transporter PsHXT1‐mediated sugar uptake is required for pathogenicity of wheat stripe rust

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          Abstract

          All plant‐interacting microbes must acquire metabolites from their hosts to satisfy nutritional demands for growth. With carbon being crucial for all organisms, sufficient acquisition of sugars from plants is a cardinal task of plant pathogens for successful invasion. Blocking access to host sugars seems to be a promising strategy to control plant diseases. Plant sugar retrieval strengthens plant resistance to pathogens (Yamada et al., 2016). However, it is difficult to discriminate if this is a result of blocking the pathogen’s access to sugar, or a disturbance in sugar‐mediated signalling in plants (Milne et al., 2019; Moore et al., 2015). Since the identification of UfHXT1 provided the first evidence of sugar uptake in rust fungi (Voegele et al., 2001), many sugar transporters have been identified from different pathogenic fungi (Saitoh et al., 2014; Schuler et al., 2015). However, the effects of sugar starvation on pathogen growth, development and pathogenicity are still unclear. Puccinia striiformis f.sp. tritici (Pst) is the causal agent of stripe (yellow) rust, which threatens global wheat production severely. So far, control of Pst mostly relies on the deployment of resistant cultivars carrying specific resistance (R) genes, and the use of chemical fungicides. However, novel, sustainable ways to control Pst are desperately needed. Recently, hexoses were shown to be the major form of sugars utilized by this obligate biotrophic fungus (Chang et al., 2017). In this study, we cloned the hexose transporter gene PsHXT1, which is the only one highly induced during Pst infection (Zheng et al., 2013). Further analysis of PsHXT1/PsHXT1 revealed typical characteristics of a major facilitator superfamily (MFS) symporter with 12 membrane‐spanning segments (Figure 1a). Intraspecies polymorphism of PsHXT1 seems to be fairly low, as all eleven compared Pst genomes show a similarity of greater 99% at the nucleotide level (Figure 1b). While the interspecies variation ranges between 83% and 91% among closely related species, PsHXT1 is clearly different from other rust fungal glucose transporters characterized so far. It only shares 26% similarity with UfHXT1 (Figure 1c). As genes involved in sugar acquisition are much more conserved compared with effectors (Oliva and Quibod, 2017), these genes/proteins might represent promising targets for novel ways to control plant diseases. Figure 1 Silencing PsHXT1 restricts normal growth and development of Puccinia striiformis f.sp. tritici (Pst), leading to decreased fungal biomass and disease symptoms of wheat stripe rust by sugar starvation. (a) Topology of PsHXT1. PsHXT1 is predicted to have 12 transmembrane domains. (b) Intraspecies polymorphism of PsHXT1. Black shading indicates identical nucleotides over all sequences, pink shading indicates a substitution in one race, and blue shading indicates substitutions in more than two races. (c) Phylogenetic analysis of PsHXT1. Branches in red indicate the closest homologs of PsHXT1. The black circle and square indicate characterized hexose transporters from other rust fungi. (d) Transcript levels of PsHXT1 during Pst infection. Vertical lines indicate standard errors of the mean from two independent biological replicates. Asterisks indicate a significant difference (P < 0.01). (e) Subcellular localization of PsHXT1 in Saccharomyces cerevisiae. Bars indicate 2 μm. (f) Subcellular localization of PsHXT1 in Nicotiana benthamiana. DIC indicates bright field, and Merged is the combination of fluorescence and bright field. FM4‐64 specifically labels cell membranes. Bars indicate 50 μm. (g) PsHXT1 shows a specificity for glucose. Cell concentrations were 107, 106, 105, 104 and 103 cells/ml from left to right. (h) Transport characteristics of PsHXT1, such as Km, optimum pH, proton‐symport mechanism and substrate competition, were determined. Vertical lines indicate standard errors of the mean from three independent replicates. (i) Silencing PsHXT1 decreases disease symptoms and Pst biomass at 14 days post‐inoculation. Vertical lines indicate standard errors of the mean from three independent biological replicates. Asterisks indicate a significant difference (P < 0.01). (j) Silencing PsHXT1 restricts growth and development of Pst at 24, 48 and 120 hpi. SV, substomatal vesicle; IH, infection hyphae. Bars indicate 20 μm. Infection area was measured at 120 hpi (unit in 1000 μm2). Results were obtained from 50 infection sites, and values represent mean ± standard error of three independent replicates. Differences were assessed using Student’s t tests. Asterisks indicate a significant difference (P < 0.01). Transcript levels of PsHXT1 during Pst infection were analysed by qRT‐PCR for the complete invasion process (Figure 1d). Transcript levels of PsHXT1 increased from 12 h post‐inoculation (hpi), when primary infection starts with substomatal vesicle formation, and increased continuously to reach a maximum at 168 hpi, when branched hyphae develop and more haustoria are formed. Thereafter, transcript levels sharply decrease to a very low level. This result indicates that PsHXT1 is indispensable for establishing the Pst–wheat interaction. In order to determine the subcellular localization of PsHXT1, a PsHXT1‐GFP fusion protein was generated and expressed in yeast. PsHXT1 was shown to localize to the plasma membrane (Figure 1e). The subcellular localization of PsHXT1 was further analysed by expression in Nicotiana benthamiana (Figure 1f). Both plasmolysis and staining with the membrane marker SynaptoRed™ C2 (FM4‐64) confirmed a plasma membrane localization of PsHXT1. Based on a similar subcellular localization, PsHXT1 could function as a transporter as UfHXT1 (Voegele et al., 2001). In order to identify the biochemical characteristics of PsHXT1, PsHXT1 was expressed in the Saccharomyces cerevisiae mutant strain EBY.VW4000, which lacks all 20 hexose transporters identified. PsHXT1 was shown to exhibit a substrate preference of glucose (Figure 1g). The Km of PsHXT1 was 59 ± 12 μm, and the Vmax was 7.75 ± 2.33 nm under optimal conditions (Figure 1h). The optimum pH of PsHXT1 is about 5.5, but transport activity retained a high level within the pH range from 4 to 7. Two different protonophores, carbonyl cyanide m‐chlorophenylhydrazone (CCCP) and 2,4‐dinitrophenol (DNP), were both able to inhibit the activity of PsHXT1. The SH group inhibitor, p‐chloromercuribenzene sulphonate (pCMBS), had no effect on PsHXT1 activity. Competition experiments confirmed that PsHXT1 has a high affinity for glucose only. All these results indicate that PsHXT1 is a glucose–proton symporter. In order to determine the biological function of PsHXT1 in a Pst–wheat interaction, PsHXT1 was silenced by barley stripe mosaic virus (BSMV)‐mediated host‐induced gene silencing (HIGS). Two independent fragments (PsHXT1‐1as and PsHXT1‐2as) were chosen to silence PsHXT1, and PsINVas served as a positive control (Chang et al., 2017). Disease phenotypes of Pst infection were observed for 14 days. Disease phenotypes decreased on plants treated with either BSMV:PsHXT1‐1as or BSMV:PsHXT1‐2as (Figure 1i). Statistical analysis of the quantity of uredia on infected leaves further supports the differences in disease phenotypes. In addition, the biomass ratio indicates that the biomass of Pst in leaves treated with either BSMV:PsHXT1‐1as or BSMV:PsHXT1‐2as decreased significantly compared with leaves treated with BSMV:00. Development and growth of Pst were examined by histological observation in PsHXT1‐silenced plants (Figure 1j). At 24 hpi, Pst formed more branches, and inflated substomatal vesicles could be observed in nearly 30% of the cases. This indicates that there might be problems with the establishment of the Pst–wheat interaction with PsHXT1‐silenced plants. At 48 hpi, hyphae showed abnormal development and exhibited high levels of malformation (in nearly 70% of the cases). At 120 hpi, the infection area of Pst was significantly decreased in PsHXT1‐silenced plants. Taken together, these results indicate that silencing PsHXT1 restricts normal growth and development of Pst during the infection of wheat significantly, leading to a decrease in fungal biomass and disease symptoms. Combined with the former study on PsINV (Chang et al., 2017), it can be concluded that sugar starvation not only impairs growth and development of Pst, but also slows down pathogen proliferation. To our knowledge, this is the first in vivo evidence demonstrating that sugar starvation restricts both pathogen’s growth and virulence without a possible confusion with signalling effects. This opens new vistas for sugar starvation‐mediated control of wheat stripe rust and suggests that blocking a pathogen’s sugar absorption could be a novel strategy to control disease with restricting pathogen’s growth and proliferation. Although most attention has been paid into seeking effectors and R genes, generating transgenic plants able to silence key transporters in the pathogen might be a future, sustainable alternative to conventional breeding efforts constantly introducing novel R gene combinations, which might easily be overcome. In addition, spraying dsRNA to silence key nutrient uptake elements in pathogens might provide another effective method to control plant diseases (Wang et al., 2016). Accession numbers The GenBank accession number of PsHXT1 is MT036379. Conflict of interest The authors declare no conflict of interest. Author Contributions QC, ZK and JL designed the research. QC, XL and MY performed the experiments. QC, JG and PL analysed the data. QC, LH and RV wrote the manuscript.

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          Bidirectional cross-kingdom RNAi and fungal uptake of external RNAs confer plant protection

          Aggressive fungal pathogens such as Botrytis and Verticillium spp. cause severe crop losses worldwide. We recently discovered that Botrytis cinerea delivers small RNAs (Bc-sRNAs) into plant cells to silence host immunity genes. Such sRNA effectors are mostly produced by B. cinerea Dicer-like protein 1 (Bc-DCL1) and Bc-DCL2. Here we show that expressing sRNAs that target Bc-DCL1 and Bc-DCL2 in Arabidopsis and tomato silences Bc-DCL genes and attenuates fungal pathogenicity and growth, exemplifying bidirectional cross-kingdom RNAi and sRNA trafficking between plants and fungi. This strategy can be adapted to simultaneously control multiple fungal diseases. We also show that Botrytis can take up external sRNAs and double-stranded RNAs (dsRNAs). Applying sRNAs or dsRNAs that target Botrytis DCL1 and DCL2 genes on the surface of fruits, vegetables, and flowers significantly inhibits gray mold disease. Such pathogen gene-targeting RNAs represent a new generation of environmentally-friendly fungicides.
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            A recently evolved hexose transporter variant confers resistance to multiple pathogens in wheat.

            As there are numerous pathogen species that cause disease and limit yields of crops, such as wheat (Triticum aestivum), single genes that provide resistance to multiple pathogens are valuable in crop improvement. The mechanistic basis of multi-pathogen resistance is largely unknown. Here we use comparative genomics, mutagenesis and transformation to isolate the wheat Lr67 gene, which confers partial resistance to all three wheat rust pathogen species and powdery mildew. The Lr67 resistance gene encodes a predicted hexose transporter (LR67res) that differs from the susceptible form of the same protein (LR67sus) by two amino acids that are conserved in orthologous hexose transporters. Sugar uptake assays show that LR67sus, and related proteins encoded by homeoalleles, function as high-affinity glucose transporters. LR67res exerts a dominant-negative effect through heterodimerization with these functional transporters to reduce glucose uptake. Alterations in hexose transport in infected leaves may explain its ability to reduce the growth of multiple biotrophic pathogen species.
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              High genome heterozygosity and endemic genetic recombination in the wheat stripe rust fungus

              Stem, leaf and stripe rust diseases of wheat caused by Puccinia graminis f. sp. tritici (Pgt), P. triticina (Pt) and P. striiformis f. sp. tritici (Pst) have caused significant yield losses during epidemics that have resulted in famines throughout human history. They continue to threaten worldwide wheat production and global food security1 2 3. To prevent wheat rust epidemics, an international consortium known as the Borlaug Global Rust Initiative (http://www.globalrust.org/) was established. Of the three wheat rust diseases, stripe rust occurs most frequently in the United States, primarily due to infection during the early growing season, long-distance air-borne spore dispersal and a recent adaptation to warmer temperatures4 5. Although Pst populations in most areas around the world have low genetic diversity due to clonal asexual reproduction, high levels of genetic diversity have been observed in some Pst populations from western China and central Asia6 7. Recently, Berberis species were reported to serve as the alternate host of Pst in western China and United States8 9. Therefore, sexual reproduction may be an important factor accounting for genetic variation in Pst, and regions in central Asia may serve as the centres of origin for new races. Better understanding of virulence variations and mechanisms of rust fungus–wheat interactions is necessary for the development and deployment of more effective and durable resistant cultivars10. However, wheat rust fungi are obligate biotrophic pathogens that cannot be cultured on artificial media. Most of their life stages, including urediniospores that are commonly used for aetiological and evolutionary biology studies, are dikaryotic (Fig. 1). Therefore, it is extremely difficult to conduct molecular studies and functional characterizations of genes in rust fungi10 11. Nevertheless, recent technological advances have enabled the use of genomic approaches to study virulence variation, development and evolution in rust and other obligate biotrophic fungi12 13. Among the rust fungi that have been sequenced, the genome sequences of Pgt and Melampsora larici-populina (Mlp) were generated by Sanger sequencing12. In 2011, a rough draft sequence of a US isolate of Pst was generated with short reads from next-generation sequencing (NGS)14. All of these rust genome projects used genomic DNA isolated from dikaryotic (N+N) urediniospores for sequencing analyses. The two nuclei in urediniospores are highly heterozygous in rust fungi, a characteristic that has confounded genome assembly by conventional approaches, especially with short NGS reads. The coverage and contig integrity of the released Pst draft sequence (contig N50 of 5 kb) were obviously hampered by the heterozygosity14. In this study, we generate a significantly improved draft genome (~110 Mb) of a Chinese Pst isolate, CY32, using a ‘fosmid-to-fosmid’ sequencing strategy that combines the use of a fosmid library and Illumina sequencing. This isolate has been the most prevalent virulent strain in China since 1991 and caused severe yield losses in the 2002 wheat stripe rust epidemic15. The assembled genome sequence of CY32 is 130.7 Mb, which is approximately twice as large as the released Pst-130 genome (64.8 Mb)14. Our results show that the ‘fosmid-to-fosmid’ strategy is more effective than the conventional whole-genome shotgun (WGS) approach for sequencing dikaryotic rust fungi. In addition, we resequence five prevalent Pst isolates collected from different geographical locations. We identify a large number of SNPs using whole-genome comparative analyses between Pst-CY32 and individual re-sequenced isolates. Approximately 35% of SNPs are in the coding sequence (CDS) regions and half of them are non-synonymous, indicating significant genetic variation among these Pst isolates. Our re-sequencing data implies a significant role for sexual reproduction in evolution of Pst races. Results Genome sequencing and assembly A genomic DNA library consisting of 19,200 fosmid clones with an average insert size of 36 kb was constructed (~6.3-fold genome coverage) and randomly pooled into 1,920 pools (10 clones per pool). Each of the barcoded pools (each with a unique index) was sequenced to ~228-fold depth using Illumina GA and assembled separately using SOAP de novo 16 17 (‘fosmid-to-fosmid’). The primary assembled contigs were used for simulating sequencing and merged into large fragmental reafs (supercontigs) with the overlap layout consensus (OLC)18 to generate the secondary assembly. Self-to-self whole-genome alignment with LASTZ and sequencing depth information were used to remove redundancy in the assembly19. The WGS sequencing approach was employed to sequence paired-ends (PE) genomic libraries that had an average insert size of 200 bp to 6 kb with Illumina GA. The resulting Illumina PE reads (average of 67 bp) in combination with mate pair information from fosmid-pooling reads were used for scaffolding of all the reafs (supercontigs) after filtering out low-quality reads. Because urediniospores used for DNA isolation were harvested from infected wheat leaves instead of sterile cultures, the assembled scaffolds were searched against the nucleotide database to remove possible contamination from plant, bacteria and insects (Supplementary Fig. S1). The combined length of assembled scaffolds is 130.7 Mb. The N50 of scaffolds and contigs reach 125 kb and 18 kb, respectively, which is a significant improvement compared with the Pst draft assembled solely with WGS Illumina reads (Table 1). The Pst genome size was estimated with Illumina sequencing data of three WGS PE libraries (with average insert sizes of 224, 311 and 515 bp, respectively) based on k-mer (k-base fragment) analysis20 and the distribution of contig length and depth. Two peaks (16 and 30) were identified in the 17 k-mer depth distribution of WGS Illumina reads (Fig. 2a), and similarly, two peaks of coverage (Cvg) (7 and 17) were identified in the distribution of contig length and depth (Fig. 2b), indicating that the two haploid nuclei of Pst urediniospores differ significantly in genome sequences. Considering the heterozygous nature of dikaryotic urediniospores, the haploid genome size of Pst was estimated to be ~110 Mb (Supplementary Fig. S2, Supplementary Tables S1–S4, Supplementary Notes 1 and 2). Approximately 49% of the Pst genome assembly consists of transposable elements (TEs) or repetitive sequences. The class I LTR retro-elements and class II terminal inverted repeat (TIR) DNA transposons are among the most abundant ones and account for ~27% and ~17% of the Pst genome, respectively. The same pipeline was used to identify the TE or repetitive sequences in the other two sequenced rust fungi, Pgt and Mlp. We found that the proportion of TEs or repeats in the Pgt and Mlp genomes was ~48% and ~49%, respectively (Supplementary Tables S5–S7). Whereas the Mlp genome is enriched for TIR class II DNA transposons and DIRS class I retrotransposons, the Pgt genome has more LTR class I retrotransposons (Supplementary Fig. S3). The role of these TEs in the evolution of rust genomes requires further investigation. Validation of sequence assembly To validate the ‘fosmid-to-fosmid’ assembly of the Pst-CY32 genome, 10 randomly selected fosmids were individually sequenced from end to end by Sanger sequencing. The mapped ratio of assembled scaffolds of Illumina reads to the Sanger-sequenced fosmids reached 98.53% (Supplementary Table S8). Nine of them were well covered by assembled scaffolds of Pst-CY32. The other Sanger-sequenced fosmid contained highly repetitive sequences or SV (structural variation) regions, which was revealed by alignment with unfiltered contigs and Illumina paired-end sequences (Supplementary Fig. S4). In comparison with the Pst-130 assembly solely using WGS Illumina sequences, the ‘fosmid-to-fosmid’ strategy significantly improved the assembly integrity of the highly heterozygous Pst genome. For example, scaffold 475 of Pst-CY32 contains only one PE sequence-supported gap in the region that matched fosmid_txjkx and 11 contigs of the Pst-130 assembly (Fig. 3). The same phenomenon was observed in other Sanger-sequenced fosmids. On average, the ratio of Pst-130 contigs to matching Pst-CY32 scaffolds is 7.2 (Supplementary Fig. S4). A total of 1,861 expressed sequence tags (ESTs) from CY32 complementary DNA libraries constructed with RNA isolated from urediniospores, germ tubes and haustoria also were used to validate the assembly coverage. For ESTs longer than 500 bp, the coverage by the genome assembly reached 98.92% (Supplementary Table S9). Reciprocal blasting analysis of Pst-coding sequences against those of Pgt and Mlp revealed that over 70% of the predicted Pst genes (17,901 genes) have support in the other two rust genomes (Fig. 4). These results reflect a relatively high confidence for the assembly. Analysis of the ultra-conserved core eukaryotic genes (CEGs) by CEGMA21 indicates that the Pst-CY32 genome assembly has 215 complete and 7 partial models of 248 CEGs (~94%), indicating a high degree of completeness of the genome draft (Supplementary Table S10). Comparative analysis with the Pst-130 genome sequence In comparison with the Pst-130 genome (64.8 Mb) assembled solely with WGS Illumina reads14, the Pst-CY32 genome generated by the ‘fosmid-to-fosmid’ method increased the N50 value from 5 kb to 18 kb for contigs and from 5 kb to 125 kb for scaffolds. The estimated genome size of Pst was increased to 110 Mb. More than 5.3 Mb of scaffolds that contain 1,519 predicted genes of Pst-CY32 were absent in the published Pst-130 genome (e-value 1e−10). Heterozygous features in the genome of dikaryotic Pst High coverage and deep reads (26 × ) allowed the identification of 83,736 heterozygous single-nucleotide variants (SNVs) within the sequenced Pst-CY32 genome (Supplementary Data 1). The heterozygosity rate (0.68 × 10−3) was ~1.6 times higher than that of human (0.43 × 10−3)22 23. Therefore, the two nuclei in urediniospores of Pst-CY32 must be highly heterozygous. In comparison with the estimated genome size, the current assembly is significantly larger and possesses more than 20-Mb assembly ‘redundancy’. Systematic analyses of sequences of highly similar scaffolds revealed that a set of 1,059 genes was present in the overlapping regions of scaffolds with different kinds of overlapping relationships (Supplementary Data 2). The heterozygous regions and distinctive SNV genotypes of the two nuclei of Pst-CY32 were revealed by aligning sequences of assembly scaffolds with matching Sanger-sequenced fosmids. Some of the predicted genes were located in the heterozygous regions of the dikaryotic Pst genome, implying that these ‘redundancy’ genes may result from heterozygous features in the dikaryotic Pst genome (Fig. 5). The ‘fosmid-to-fosmid’ strategy allowed us to independently sequence and assemble heterozygous regions that were represented in different fosmid pools, which is an advantage for investigating highly heterozygous genomic regions of dikaryotic rust fungi. Annotation and comparison of three rust fungal genomes By combining automated gene calling and EST-based prediction, a total of 25,288 genes were predicted to encode peptides >50 amino acids. Whereas 1,059 of them are likely ‘redundancy genes’ related to the heterozygous nature and assembly method (Supplementary Data 2), 403 genes are truncated genes (Supplementary Data 3). The coding region, including introns, accounts for 33.59% of the Pst genome assembly (Table 1). To assess the quality of gene prediction, we compared the length distribution of genes, CDS, exons and introns, and the distribution of exon number per Pst gene with those of related plant pathogenic fungi, including two other rust and common corn smut12 24. Pst was found to be similar to other rust fungi in all of the major parameters analysed (Supplementary Fig. S5). Among all of the predicted Pst genes, only 8,334 (32.96%), 2,067 (8.17%) and 2,018 (7.98%) of them had homologues with known functions in the GO, PAMGO, and PHI databases, respectively (Supplementary Figs S6–S8). Among the genes belonging to different PAMGO categories in three rust fungi, the two wheat rust fungi contained more genes involved in DNA recombination, but the gene contents in other categories were similar to those in Mlp (Fig. 6a). We used Hcluster_sg25 to identify orthologues among three rust fungi. A total of 5,560 orthologous clusters were identified in two wheat rust fungi, but only 3,937 clusters were common to Pst and Mlp. The numbers of species-specific gene clusters were 4,469, 5,827 and 4,922 for Pst, Pgt and Mlp, respectively (Fig. 6b). These results are consistent with the closer relationship of Pgt and Pst than to Mlp. Among the genes unique to Pst in comparison with Pgt and Mlp, only 14.43% (1,066 genes) and 3.38% (250 genes) of them have homologues with known functions in the GO and PAMGO databases, reflecting inadequate investigation of gene functions in rust pathogens. Interestingly, most of known homologues belong to metabolic pathways and transport in both databases. When they were categorized into transporters, secreted proteins (SPs), kinases and carbohydrate-active enzymes (CAZY), the proportion of SP genes is higher than the others (Fig. 6c), consistent with observations in Mlp and Pgt 12 and suggesting the importance of SPs in virulence of rust pathogens. This phenomenon also was observed in other obligate plant pathogenic fungi, such as the powdery mildew fungus13. Secretome A total of 2,092 proteins encoded by the Pst genome were predicted by SignalP, TargetP and TMHMM26 27 28, which accounts for 8.3% of the total number of proteins, and were grouped into 916 families. Similarly, the genomes of Pgt and Mlp are predicted to encode 1,459 and 1,178 SPs, respectively, accounting for 8.2% and 7.1% of the total number of Pgt and Mlp proteins. Among the putative SPs of three rust pathogens, Pst shared 341 families with the other two rust pathogens, and more than 62% of the predicted SP families were lineage-specific for Pst (Supplementary Fig. S9). Furthermore, over 92% of them had no distinct orthologues in non-rust fungi, including Ustilago maydis, Blumeria graminis, Magnaporthe oryzae and Fusarium graminearum 13 24 29 30. In cluster analyses, only a few predicted SPs could be grouped into small families, suggesting a substantial diversity of the Pst secretome and the lack of sequence similarity or conservation in fungal avirulence or effector genes (Supplementary Fig. S10). A total of 491 SPs were distributed in 100 putative physical clusters of 2–18 members (Supplementary Data 4). Twenty-seven putative SPs in Pst are homologous to seven haustorially expressed SPs (HESPs) of M. lini 31, including Hesp-897, Hesp-735, Hesp-379, Hesp-379-like and Hesp-C49. Eighteen SPs in Pst are homologous to the rust transferred protein 1 (RTP1)32 in other rust pathogens (Supplementary Data 5). A search for known candidate effector motifs indicated that 1,052 of the Pst SP genes had the ‘Y/F/WxC’ motif of the powdery mildew fungus33 and 114 of them had the RXLR motif reported in oomycete effectors34 (Supplementary Data 6). However, these two motifs occurred at a similar frequency in non-SPs (11,267 and 3,742 of them with the ‘Y/F/WxC’ and `RXLR' motifs, respectively). Therefore, whether Pst effectors use these sequence elements for entry into plant cells is questionable. The genomes of the obligate biotroph B. graminis, facultative biotroph U. maydis, necrotrophic pathogen F. graminearum and symbiont Laccaria bicolor 35 were found to have 442, 426, 1,049, and 1,161 SP genes, respectively, by the same scanning methodology. They account for 7.5%, 6.2%, 7.6% and 5.2% of total protein-coding genes in B. graminis, U. maydis, F. graminearum and L. bicolor, respectively. Therefore, Pst and Pgt appear to have a relatively larger secretome (higher percentage) compared with that of other plant-associated fungi. Several putative Pst effector genes were found to be specifically expressed during sexual reproduction (Fig. 7, Supplementary Data 7 and 8), suggesting that rust fungi with alternate hosts may transmit some specific SPs to cope with infection of the primary and alternate host plants. In comparison with B. graminis, U. maydis and L. bicolor, several subcategories of cell wall-hydrolyzing enzyme (CWHE) genes, particularly pectin esterase and mannanase genes, appeared to be expanded in Pst and Pgt (Supplementary Table S11). Previous studies have shown that the cellulose-degrading capacity is similar among pathogens, but the ability to cope with soft tissue components, for example, hemicellulose and pectin, may vary36, which is consistent with our observation that expanded CWHEs in rust secretomes are mainly hemicellulases and pectinesterases. Interestingly, cutinase genes also were expanded in Pst. Although they may not be involved in wheat infection (germ tubes of Pst urediniospores invade wheat through stomata), cutinases may have an important role in Berberis infection because germ tubes produced by basidiospores directly penetrate epidermal cells of Berberis leaves37. Transporters A total of 512 transporter genes, including 7 sugar and 12 amino acid transporter genes, were present in the Pst genome. Four of seven Pst genes encoding putative nucleotide sugar transporters were confirmed by qRT–PCR analysis to be highly expressed in planta. In contrast, two hexose transporters that are closely related to U. fabae HXT1 were constitutively expressed in urediniospores, germ tubes and other infection structures (Supplementary Data 7 and 8), which contrasts with the expression profiles of hexose transporter genes in U. fabae 38 and M. larici-populina 12. The Pst genome also lacks a distinct orthologue of the U. maydis srt1 sucrose transporter gene, which is similar to observations in Pgt and Mlp 12 39. Thus, the rust fungi may convert sucrose to hexose by secreted invertase, and haustoria then take up hexose from host cells as the major carbohydrate source38 40. Another notable adaptation was observed in the amino acid–polyamine–organocation superfamily. Whereas the yeast genome contains only nine amino acid transporter genes, the Pst genome contains 15, indicating an expansion of the amino acid transporter family that may be related to the defect of Pst in nitrogen metabolism. Noticeably, the lack of a nitrite reductase gene in Pst will make it incapable of nitrate assimilation, which is consistent with observations in Pgt and Mlp 12. Therefore, the uptake of amino acids from host cells by haustoria is essential for protein synthesis in Pst. Data from qRT–PCR analysis confirmed that 8 of 12 predicted amino acid transporter genes are highly expressed during Pst infection of wheat or Berberis plants (Supplementary Data 7 and 8). Six of them are highly similar to PIG27 of U. fabae, which is specific for lysine and histidine41. Two others share homology with AAT3p and PIG2 of U. fabae 42 43. Their upregulated expression in infected plant tissues supported the hypothesis that amino acid transporters are responsible for the uptake of amino acids from plant cells by haustoria37. Re-sequencing of five additional Pst isolates To explore the intra-specific race evolution, five additional Pst isolates from different geographical locations were selected for re-sequencing analysis (Supplementary Table S12). Based on their virulence on 17 differential wheat cultivars (Fig. 8a), Pst-CY32 appeared to be more closely related to Pst-130 (ref. 44) than to CY23 and other Pst isolates. Their genomes were re-sequenced at 22-29X by the WGS strategy to a genome coverage of over 95% (Supplementary Table S13). In comparison with Pst-CY32, more than 100,000 SNPs were identified in the five re-sequenced Pst isolates and 81,000 in Pst-130 (ref. 14). The number of SNPs is similar for individual isolates, and heterozygous SNPs occupied more than 80% of SNPs in the genomes of all six of these Pst isolates, which may be related to their heterozygous dikaryotic genomes (Table 2). Based on re-sequencing data, rich SNP distribution in the heterozygous regions of Pst-CY32 could be observed, and genotypes of these five isolates are distinctive in these regions, further indicating the heterozygous property of the Pst genome (Fig. 5). The number of SNPs in gene-coding regions (cSNPs) accounts for ~35% of total SNPs. Among them, half were non-synonymous mutations that may impact virulence, race specificity and other biological traits and may be responsible for adaptation to host and environmental changes. Phylogenetic trees of these Pst isolates were constructed based on total SNPs and cSNPs. The topological features of the cSNP and SNP trees are similar. The Pst isolates collected from different locations exhibited significant genetic variation based on genome-wide cSNPs and could be classified into different branches (Fig. 8b). These results indicate that similar races may possess unexpected levels of genetic variation at the genome level. However, the SNP- or sequence-based phylogenetic tree differed from the virulence-based tree. Therefore, the evolutionary relations of Pst isolates based on SNPs were not correlated with their virulence features. For example, isolate PK-CDRD is more similar to 104E137A- in virulence than it is to Pst-78 in genome variation. Furthermore, these intra-species isolates cannot be grouped in the phylogenetic tree based on their geographical origins. Isolate Pst-78, a prevalent race in the United States, shared most recent ancestors with isolate PK-CDRD from Pakistan. Isolate Pst-130 from North America was more closely related to the Chinese isolate CY32 than to other Pst isolates. These results indicate that sexual reproduction and genetic recombination may be more important than expected for the origin of these globally dispersed isolates. We also investigated the distribution of InDels and SVs among five re-sequenced Pst isolates (Supplementary Tables S14 and S15). In general, all of them are rich in InDels (1,863 on average) and SVs (759 on average), although they vary in the abundance. These results further indicate that significant genetic variation exists among these Pst isolates. Interestingly, isolate CY23, a relatively old Chinese race with a limited host range, has almost twice as many InDels as other Pst isolates in comparison with Pst-CY32 and contains only deletion-type SVs, suggesting that CY23 may differ from other Pst isolates in variations associated with race evolution and virulence. When 12 candidate Pst effector genes were selected for sequencing analysis, one of them, Gene_5778, was found to contain a 3-bp deletion in the CDS region (deletion of AGT at 346–348) in isolate CY23. Discussion The stripe rust fungus is one of the most important pathogens of wheat in the world. Although haploid basidiospores were recently found to infect Berberis species8 9, Pst exists in the dikaryotic phase during all stages of wheat infection (Fig. 1). Unlike diploid organisms that contain pairs of homologous chromosomes, two nuclei in dikaryotic urediniospores formed by plasmogamy between two compatible haploid strains may be distantly related and highly heterozygous because the resulting diploids may be sterile or of low fertility. In comparison with the human genome, the Pst-CY32 genome is indeed more heterozygous. The dikaryotic nature of Pst made it extremely difficult for genome assembly, particularly with short WGS reads generated by NGS techniques. Among three rust genomes that have been published, the contig N50 for the Pst-130 assembly was only 5 kb (ref. 14). For the Pgt and Mlp genomes, improved assembly was achieved with longer reads from Sanger sequencing, which is much more expensive than NGS. However, over 90 Mb of the Sanger reads could not be assembled into the released 88.6-Mb Pgt genome (http://www.broadinstitute.org), likely due to genome heterozygosity. The current de novo genome assembly of Pst-CY32 has scaffold N50 of 125 kb, which is significantly improved over the assembly based solely on WGS sequencing. In comparison with non-rust fungal pathogens, Pst, Pgt and Mlp all have larger and more complex secretomes. Some of the expanded families of secreted proteins in Pst or other rust fungi may have important roles in fungal–plant interactions. For example, one cutinase family expanded in three rust fungi has 18, 9, and 8 members in Pst, Pgt and Mlp, respectively (Supplementary Fig. S11). These cutinase genes may be important for the infection of leaves of the woody alternate host plant. Among the Pst-specific genes with homologues of known functions, the most abundant category, with over 250 members, is related to DNA replication and repair, which is consistent with the report in Pgt and Mlp 12. Some of these genes may be related to evolutionary adaptation to environmental stresses, such as strong UV light during airborne dispersal. During the last century, spontaneous mutations were assumed to be the major source of genetic variation responsible for the emergence of new virulent races3 45. Because the alternate host was not known until 2010 (ref. 8), studies of the role of sexual reproduction in genetic variation and race evolution have been neglected in Pst. The re-sequencing data generated here show that similar Pst races or isolates from different continents possessed an unexpectedly large amount of genetic variation at the genome level based on SNP and InDel analyses. The phylogenetic relationship among these Pst isolates is not related to their virulence features on differential cultivars or to their geographical origins. All these data from comparative genome analyses suggest that genetic recombination contributes significantly to genome variations in Pst and may be more important than expected for the origin of globally dispersed isolates. Consistent with this inference, high levels of genetic diversity were observed in Pst populations from western China and central Asia7 46, where susceptible Berberis species are widely distributed9. Therefore, the role of sexual reproduction in genetic diversity and global epidemics of Pst should be considered important and further assessed by sequencing additional Pst isolates and performing population-level comparative analyses. Methods Strains and DNA preparation A single-spore isolate of Pst-CY32 (ref. 15) was reproduced on seedlings of wheat cultivar Mingxian169. Five additional Pst strains isolated from Shaanxi province of China, USA, Pakistan, Hungary, and Australia were assayed for their virulence on 17 international differential wheat cultivars45 47 and used for re-sequencing. Urediniospores were harvested and used for DNA isolation by the CTAB/SDS method. High molecular weight genomic DNA was isolated with the Gentra Puregene Cell Kit (Qiagen) and separated on a 1% agarose gel with a Bio-Rad CHEF-DR II electrophoresis apparatus. The 35–45 kb DNA fraction was isolated from the CHEF gel and used for fosmid library construction48. Genome sequencing and gene prediction The dikaryotic Pst-CY32 strain was sequenced by Illumina GA and assembled by a ‘fosmid-to-fosmid’ strategy using SOAP denovo 16 17 and Celera Assembler18 (Supplementary Fig. S1). The protein-coding genes were predicted with a combination of homology-based prediction (Genewise (wise2-2-0), GeneMark-ES (version 2.3a), Augustus (version 2.5) and EST-based prediction. The resulting predictions were integrated using Glean (glean-1-0-1)49 50. The integrated gene collection was searched against the TE database to remove TE-related fragments, and genes encoding peptides shorter than 50 amino acids were filtered out (Supplementary Data 9). Reciprocal blast analysis of Pst, Pgt and Mlp coding sequences was conducted with BlastP V2.2.23 (e-value 1e−7). Hcluster_sg V0.5.0 was used for gene family clustering51 52. Solar V0.6.9 was used to remove redundant members (Match rate ≥0.33)20. TEs and tandem repeats were identified by de novo and knowledge based (Repbase Update, v. 17.11) strategies for all three rust fungi with REPET53 (http://urgi.versailles.inra.fr/index.php/urgi/Tools/REPET). SNV detection To assess the heterozygosity rate and its distribution, high-quality reads (average quality score of >20) from WGS sequencing of three short-insert libraries (224-bp inserts, total clean reads of 3,322 Mb) were realigned to the reference assembly with SOAPaligner (version 2.21)23. The probabilities of every possible genotype for each position on the reference genome were calculated, and a statistical model based on Bayesian theory and the Illumina quality system was used to call SNVs. The allelic sequence with the highest probability was used as the reference sequence, and heterozygous SNVs were called if other alleles also had high probability23 54. Secretome and subcellular targeting prediction SPs of Pst, Pgt, Mlp, Um, Fg, Lb and Bg were identified by the same methodology12. SignalP3.0 was used to predict signal peptides. Tmhmm-2.0c and Targetp-1.1 were used to predict proteins with transmembrane domains and targeting to mitochondria, respectively. GPI (glycosylphosphatidyl inositol)—anchor proteins were identified with big-PI FungalPredictor26 27 28. Re-sequencing and genetic variation analysis PE (paired ends) libraries with 500-bp inserts for every Pst isolate were sequenced using Illumina technology by WGS strategy. High-quality reads were compared with the reference sequence of Pst-CY32 by SOAPaligner (SOAP_snp and SOAP_InDel) to identify highly confident SNPs and InDels. Phylogenic trees of Pst isolates based on total SNPs and cSNPs were constructed with TreeBeST-1.9.2 (PHYML) and NJ (bootstraps: 100). Virulence clustering of the seven Pst isolates was done using Heatmap.2. Author contributions W.Z., L.H., J.H. and X.W contributed equally to this work. Z.K., W.Z., L.H., J.-R.X. and G. Zhang managed the project. Z.K., W.Z., L.H., J.-R.X., G. Zhang, X.C., H.Y. designed the experiments and led the data analysis. H.Z., W.Z., Jie Zhao., J.G., G. Zhan, Q.H., X.G. and X.C. prepared the DNA samples. J.H., C.Q., P.N., L.Y., W.D. and W.M.Z. performed sequencing and assembly. J.H. and C.Q. performed genome annotation and repeat analysis. X.W., J.G., J.L., H.L., X.H., G.P., L.H., C.Q., J.H and W.Z. performed comparative genomics. X.W., J.L., J.G., X.H., Jie Zhao., C.T., Y.C., M.L., J. Zhang, Z.Z., S.Z., D.H., J.W., H.Z. and Jing Zhao. performed the virulence identification and gene expression experiments. Z.K., W.Z., J.-R.X., G. Zhang., L.H., X.W., J.L., J.G., X.H. and J.Z. wrote the paper. Additional information Accession codes: Sequence data have been deposited in GenBank nucleotide core database under the accession number AONS00000000. How to cite this article: Zheng, W. et al. High genome heterozygosity and endemic genetic recombination in the wheat stripe rust fungus. Nat. Commun. 4:2673 doi: 10.1038/ncomms3673 (2013). Supplementary Material Supplementary Tables, Figures and Notes Supplementary Figures S1-S11, Supplementary Tables S1-S15, Supplementary Notes 1-2 Supplementary Data 1 SNVs in Pst-CY32 genome Supplementary Data 2 Highly similar genes in the overlapping scaffolds. Supplementary Data 3 Truncated Pst genes Supplementary Data4 491 putaive SP genes organized in physical clusters Supplementary Data 5 Putative SPs of Pst-CY32 with homologues of haustorially expressed secreted proteins (HESP) in M. lini and the rust transferred protein 1 (RTP1) in other rust fungi. Supplementary Data 6 Distribution of "Y/F/WxC" and RXLR -amino acid motif Supplementary Data 7 Relative expression levels of selected Pst putative SP and transporter genes at 4 different stages. Supplementary Data 8 Primer sequences used in q RT-PCR. Supplementary Data 9 Filtered out genes encoding peptides shorter than 50 amino acids.
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                Contributors
                kangzs@nwsuaf.edu.cn
                liujie2003@hotmail.com
                Journal
                Plant Biotechnol J
                Plant Biotechnol J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                04 June 2020
                December 2020
                : 18
                : 12 ( doiID: 10.1111/pbi.v18.12 )
                : 2367-2369
                Affiliations
                [ 1 ] State Key Laboratory of Crop Stress Biology for Arid Areas College of Plant Protection Northwest A&F University Yangling Shaanxi China
                [ 2 ] Bio‐Agriculture Institute of Shaanxi Shaanxi Key Laboratory of Plant Nematology Xi’an Shaanxi China
                [ 3 ] Department of Agronomy Inner Mongolia Agricultural University Hohhot Inner Mongolia China
                [ 4 ] State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agroproducts Institute of Plant Virology Ningbo University Ningbo Zhejiang China
                [ 5 ] Department of Phytopathology Faculty of Agricultural Sciences Institute of Phytomedicine University of Hohenheim Stuttgart Baden‐Württemberg Germany
                [ 6 ] State Key Laboratory of Crop Stress Biology for Arid Areas College of Life Sciences Northwest A&F University Yangling Shaanxi China
                Author notes
                [*] [* ] Correspondence (Tel +86 029 87092262; Fax +86 029 87092262; email liujie2003@ 123456hotmail.com (J.L.); Tel +86 029 87091312; Fax +86 029 87091266; email kangzs@ 123456nwsuaf.edu.cn (Z.K.)

                [†]

                These authors contributed equally to this work.

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                https://orcid.org/0000-0003-2278-1146
                Article
                PBI13398
                10.1111/pbi.13398
                7680534
                32386262
                58baadc2-53c8-478e-9f2b-5cc42afe6ac6
                © 2020 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 05 March 2020
                : 29 April 2020
                : 01 May 2020
                Page count
                Figures: 1, Tables: 0, Pages: 3, Words: 2132
                Funding
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31620103913
                Funded by: National Key Research and Development Program of China , open-funder-registry 10.13039/501100013290;
                Award ID: 2016YFD0100602
                Funded by: Open Project of State Key Laboratory of Crop Stress Biology for Arid Areas
                Award ID: CSBAA2019011
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                Brief Communications
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                2.0
                December 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.4 mode:remove_FC converted:22.11.2020

                Biotechnology
                wheat stripe rust,sugar starvation,hexose transporter,growth and development,host‐induced gene silencing

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