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  • Report
  • Open Access

Draft genome sequence of Venturia carpophila, the causal agent of peach scab

Standards in Genomic Sciences201712:68

  • Received: 23 February 2017
  • Accepted: 20 November 2017
  • Published:


Venturia carpophila causes peach scab, a disease that renders peach (Prunus persica) fruit unmarketable. We report a high-quality draft genome sequence (36.9 Mb) of V. carpophila from an isolate collected from a peach tree in central Georgia in the United States. The genome annotation is described and a phylogenetic analysis of the pathogen is presented. The genome sequence will be a useful resource for various studies on the pathogen, including the biology and ecology, taxonomy and phylogeny, host interaction and coevolution, isolation and characterization of genes of interest, and development of molecular markers for genotyping and mapping.


  • Cladosporium carpophilum
  • Fusicladosporium carpophilum
  • Prunus persica
  • Fungal pathogen
  • Venturiacae


Venturia carpophila E.E. Fisher (syn. Fusicladosporium carpophilum Partridge and Morgan Jones; Cladosporium carpophilum Thüm.; Megacladosporium carpophilum Thüm.(Vienn.-Bourg); Fusicladium carpophilum Thüm (Oudem.); Cladosporium americanum H.C. Greene) is an important fungal pathogen in the family Venturiaceae and is the causal agent of scab in peach ( Prunus persica ) and other species of Prunus [1]. Typical symptoms on fruit are black freckles, spots, and/or scabs of variable size, distribution and density (Fig. 1 a and b) that render the fruit unfit for market [2]. The pathogen also infects shoots and overwinters in lesions on 1-year-old twigs, which are thought to be the source of primary inoculum in the form of conidia that are both airborne and splashborne, resulting in infection of young fruit during the spring and early summer [3]. Peach scab generally develops on the most exposed, easily wetted, uppermost portion of the fruit surface, which is consistent with the splash-borne nature of conidia [4]. Multiple fungicide sprays are required to control peach scab at variable costs, which impose a risk of the pathogen developing resistance to certain fungicides. The effect of the fungicide sprays in reducing disease severity and thus improving fruit quality has been demonstrated, but under certain conditions the results are inconsistent [5].
Fig. 1
Fig. 1

Scab symptoms caused by Venturia carpophila on a immature peach fruit, b a ripe peach fruit, c conidia of V. carpophila (400×), and d an 8-week old colony of V. carpophila growing on potato dextrose agar

Besides peach, several economically important stone fruit crops, including apricot (P. armeniaca), almond (P. dulcis), and plum (P. domestica), can be infected by V. carpophila [1]. Only recently has the taxonomic identity of the pathogens causing scab on stone fruit and other related genera begun to be clarified [68]. No complete genome sequence of V. carpophila has been reported, although some related species have now been sequenced [911]. As with these other species, an annotated genome of V. carpophila is a valuable resource for various genomic, genetic, and systematic studies. For example, various genes of interest and importance, such as those related to fungicide resistance, host recognition, or mating type, can be identified for further research to aid in management of the disease. Microsatellites can be developed as informative markers for genetic mapping and diversity studies. Also, the knowledge obtained from the genome can be useful in improving development of resistant cultivars.

In this report, we describe the first high-quality draft genome sequence of V. carpophila and provide a phylogenetic analysis of the fungus and other closely related species. The genome sequence will facilitate further genomic and phylogenetic exploration to understand the pathogen and its relationship with peach.

Organism information

Classification and features

The sequenced strain of V. carpophila was isolated from a scab-infected peach fruit (cv. Julyprince) from an 8-year-old tree in June 2014 at the USDA-ARS-SEFTNRL, Byron, Georgia, USA (Table 1). Asexually produced conidia (Fig. 1c) of V. carpophila were scraped from a single lesion on the fruit surface using a scalpel, and a dilute spore solution prepared in sterile distilled water. Multiple 0.1 μL aliquots were spread on the surface of replicate water agar plates, amended with lactic acid (0.50 mL/L), streptomycin (0.20 g/L), tetracycline (0.05 g/L) and chloramphenicol (0.05 g/L). Plates were incubated at 27 °C for 48 h under fluorescent light on a 12/12 h day/night cycle. A single germinated spore of V. carpophila was excised on an agar plug using a scalpel under a microscope (50×), and was transferred to antibiotic-amended potato dextrose agar, and was grown for 4 weeks under the same conditions described above (Fig. 1d).
Table 1

Classification and general features of Venturia carpophila




Evidence code a



Domain Fungi

TAS [35]


Phylum Ascomycota

TAS [35]


Class Dothidiomycetes

TAS [36]


Order Pleosporales

TAS [37]


Family Venturiaceae

TAS [37]


Genus Venturia

TAS [38]


Species Venturia carpophila

TAS [1]


Strain JB3–5



Gram stain




Cell shape

Not reported




Not reported




Conidia and ascospores

TAS [1, 2]


Temperature range

Mesophilic (15–25 °C)

TAS [39]


Optimum temperature

Not reported



pH range; Optimum

Not reported



Carbon source

Not reported




Rain splash and wind

TAS [3, 39]



Surface wetness

TAS [3]




TAS [2]



Not reported



Oxygen requirement




Biotic relationship


TAS [2]




TAS [2]


Geographic location

Byron, Georgia, USA



Time of sample collection

July 2010




32.652o N




83.739 o W




156 m


a Evidence codes – IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). Evidence codes as for the Gene Ontology project [40]

The fungus belongs in the Eukaryota, is a member of the Fungal kingdom, phylum Ascomycota, class Dothidiomycetes, and family Venturiaceae (Table 1). Several other economically important plant pathogens are members of the Dothidiomycetes, including apple scab ( V. inaequalis ), pear scab ( V. pyrina ), pecan scab ( F. effusum ), rice scald (Magnaprthe oryzae), and Septoria leaf blotch of wheat ( Zymoseptoria tritici syn. Mycosphaerella graminicola). V. carpophila has been classified based on its host range, morphology and some molecular characteristics [1]. The sexual stage (pseudothecia that produce ascospores) of the fungus has been identified and described from Australia [1], but has not been described elsewhere at any time. Its role in the epidemiology of the disease is unknown.

The phylogenetic relationship of V. carpophila to other Ascomycota species based on the 18S rRNA genes shows that it is most closely related to members of the family Venturiaceae, particularly the genera Fusicladium and Venturia (Fig. 2). The 18S rRNA gene was located on scaffold_438 and a 1552 bp sequence aligned with the sequences from the other fungi was used for the analysis. The phylogenetic analysis was performed using the nearest neighbor joining method in CLUSTALX2 [12] with node values based on 1000 replicates. The phylogenetic tree was drawn by TreeView [13]. Members from other genera in the Dothidiomycetes were included as outgroups.
Fig. 2
Fig. 2

The phylogenetic position of Venturia carpophila in comparison with other related fungal species. The tree was developed based on the 18S rRNA gene of the sequenced isolate of V. carpophila, an accession of the 18S rRNA gene of another isolate of V. carpophila, and accessions of other closely-related members of the family Venturiaceae (genera Fusicladium and Venturia) and with outgroup representatives (Phyllosticta harai, Staniwardia suttonii, Mycosphaerella graminicola, M. verrucosiafricana, Xenomeris raetica and Gibberella moniliformis, all in the class Dothidiomyectes of the phylum Ascomycota). The nearest neighbor joining tree was built by CLUSTALX2 [12] and drawn to scale by TreeView [13] based on 18S rRNA sequence phylogenetic analysis involved in a 1000-replicate bootstrapping process (numbers adjacent to branches are support values from 1000 bootstraps). The branch lengths in the tree were measured as substitutions per site, i.e., 0.1 on the scale bar representing 4 substitutions in 100 bp. The evolutionary history was inferred from 1522 aligned characters. The GenBank accession numbers for each species or strain are shown in parenthesis

Genome sequencing information

Genome project history

The genome of V. carpophila described here was sequenced in 2015 at the ICBR core facility of the University of Florida, Gainesville, Florida, USA. The genome was assembled and annotated at the USDA-ARS Fruit and Tree Nut Research Laboratory. This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession MECS00000000 (Bioproject PRJNA321389). The version described in this paper is version MECS01000000. The project data is summarized in Table 2. The project information is in compliance with MIGS version 2.0 [14].
Table 2

Project information





Finishing quality

High-quality draft


Libraries used

A paired-end library (average insert 518 bp for 2 × 300 cycles)


Sequencing platforms

Illumina Miseq


Fold coverage






Gene calling method

Augustus using Saccharomyces as the species parameter, also COG and BLAST search NCBI NR (non-redundant) database


Locus Tag



Genbank ID



Genbank Date of Release












Source Material Identifier



Project relevance

Biotechnology/mycology/disease control

Growth conditions and genomic DNA preparation

Culture of V. carpophila was on antibiotic-amended potato dextrose agar. The culture was incubated for 4 weeks at 25 °C (12 h light/12 h dark), when the DNA was extracted from the sample using a ZymoResearch DNA extraction kit (ZymoResearch, Irvine, CA), following a slightly modified protocol for DNA extraction from fungi [15]. A Qiagen Tissue Lyser (Qiagen, Valencia, CA) was used to lyse the mycelium. Once obtained, the DNA was quantified using a Nanodrop spectrophotometer (Nanodrop Products, Wilmington, DE) and stored in TE buffer at −20 °C.

Genome sequencing and assembly

The genome was sequenced using an Illumina paired-end library (a V3 kit, 2 × 300 cycles) and a MiSeq machine, which generated 400,041,052 raw reads consisting of 12,052,356,652 raw nucleotides. The A5-Miseq assembly pipeline was used automatically to check quality, trim adaptors, filter low-quality reads, to correct sequencing errors using robust error correction (EC) parameters, and generate high-quality genome contigs with additional detection of assembly errors [16]. About 97.54% raw reads and 83.90% nucleotides passed EC; thus a total of 39,057,608 EC reads, containing 10,111,608,273 EC nucleotides, were subject to the final assembly process. A total of 657 contigs, accounting for 36,917,822 bp, were assembled, representing the assembled genome size of the pathogen. Of the assembled nucleotides, 98.58% bases had a PHRED-scale score quality > = 40 (Q40) and the average depth of each nucleotide was 263.47, indicating it is a high-quality assembly. Additionally, the longest contig is 1,454,817 bp and the N50 length is 292,586 bp, suggesting the genome was covered mostly by larger contigs. The actual genome size is unknown at this stage, but the 263 × genome coverage likely covers more than 95% of the genome. Therefore we can estimate that the genome size of V. carpophila is ~38.9 Mb, which is in the typical size range of genomes in the phylum Ascomycota [17].

Genome annotation

The draft genome was annotated using the MAKER pipeline [18]. In summary, repeats were first found and masked using RepeatMasker and the RepBase database [19]; ab initio gene prediction was performed with AUGUSTUS under the parameter Saccharomyces [20]; these predicted genes were annotated by BLAST against the NCBI non-redundant (nr) nucleotide database and also by RPSBLAST (Reverse Position-Specific BLAST) batch search in conserved domain database (CDD v3.14) [21, 22]. The CCD is a superset including a total of 47,363 position-specific scoring matrix (PSSM) domains curated in the NCBI and imported from Pfam [23], SMART [24], COG [25], PRK [26], and TIGRFAM [27]. The e-value for BLAST and RPSBLAST search in a database was 1e-50 and 0.01, respectively. In addition, CRISPR regions were identified using the CRISPR Recognition Tool (CRT) [28]; tRNAs were identified by tRNAScan-SE-1.23 [29]; rRNAs were identified by RNAmmer [30]; signal peptides and transmembrane helices were predicted using SignalP [31] and TMHMM [32], respectively. According to BLASTN, 107 of the 657 contigs, accounting for 144,247 bp, only had multiple hits of mitochondrial genome sequences at e-10, suggesting they belong to the organelle genome of the pathogen.

Genome properties

The properties of the V. carpophila genome are summarized in Table 3. The draft genome sequence had 36,917,822 bp in 657 contigs, with a G + C content of 47.36%. The G + C content of the 550 contigs presumable for the nuclear genome is 47.43% and that of the 107 contigs likely belonging to the mitochondrial genome is 30.13%. Of the total 8220 predicted protein-coding genes, 6547 had hits in the nr database. In addition, 4632 had predicted functions, 2694 had Pfam domains, and 3665 were assigned to COGs. The distribution of genes into COG functional categories is presented in Table 4.
Table 3

Nucleotide and gene count levels of the genome



% of Total a

Genome size (bp)



DNA coding (bp)



DNA G + C (bp)



DNA scaffolds



Total genes



Protein coding genes



RNA genes



Pseudo genes

Not reported


Genes in internal clusters

Not reported


Genes with function prediction



Genes assigned to COGs



Genes with Pfam domains



Genes with signal peptides



Genes with transmembrane helices



CRISPR repeats



a The total is based on either the size of the genome in base pairs or the total number of protein coding genes in the annotated genome

Table 4

Number of genes associated with the 25 general COG functional categories



% of total a









RNA processing and modification








Replication, recombination and repair




Chromatin structure and dynamics




Cell cycle control, mitosis and meiosis




Nuclear structure




Defense mechanisms




Signal transduction mechanisms




Cell wall/membrane biogenesis




Cell motility






Extracellular structures




Intracellular trafficking and secretion




Posttranslational modification, protein turnover, chaperones




Energy production and conversion




Carbohydrate transport and metabolism




Amino acid transport and metabolism




Nucleotide transport and metabolism




Coenzyme transport and metabolism




Lipid transport and metabolism




Inorganic ion transport and metabolism




Secondary metabolites biosynthesis, transport and catabolism




General function prediction only




Function unknown



Not in COGs

a The total is based on the total number of protein coding genes in the annotated genome

Insights from the genome sequence

The genome provides a useful resource for identifying genes of interest in V. carpophila . Furthermore, the phylogenetic analysis presented earlier confirms the relationship of V. carpophila to other members of the Venturiacae and confirms previous observations on the taxonomic relationships among these members of the Ascomycota. Based on the phylogenetic analysis using the sequence of the 18S rRNA gene (Fig. 2), V. carpophila is closely related to other scab-causing fungal pathogens of higher plants, including V. cerasi, causing scab on cherry, and also V. nashicola, cause of scab on Asian pear.

Extended insights

The genome of the peach scab fungus, V. carpophila, will be of great value to research on this organism moving forward. Apart from the opportunity it affords for more detailed analysis of individual genes relating to the secretome, we have identified several genes of interest and all microsatellites for further characterization. First, we have located the full open reading frame for one of the mating type idiomorph genes (MAT1–2) in scaffold_15 (between 199,706–200,916 bp) with two predicted introns (between 199,953–200,006 bp and between 200,318–200,365 bp), which paves the way for a better understanding of the reproduction of this fungus, particularly in the USA [1]. When fully characterized, the mating type idiomorphs provide the basis not only for a more complete understanding of the epidemiology of the pathogen, but also the potential opportunity for management of the disease through control of the sexual stage, as has been demonstrated with the closely related apple scab pathogen [33]. Secondly, we have also identified the cytochrome b gene in scaffold_347 (between 2149 and 7821 bp), which contains at least two introns. The accurate boundaries of the introns need further determination by PCR and sequencing of cDNA. This gene is particularly important in plant pathogenic fungi as it plays a critical role in resistance to the quinone outside inhibitor fungicides (also known as strobilurins). Understanding the structure of this gene will form the basis for assessing risk of resistance to the quinone outside inhibitors, as demonstrated in closely related pathogens [34]. Thirdly, we have identified a total of 4021 microsatellites in 322 of the 657 scaffolds. On average, there was about one microsatellite per 10 kb of genome. The tri-type microsatellite was the most abundant. The total length of the largest 101 scaffolds (0 to 100) is 31,436,433 bp, accounting for 85.15% of the total genome size and containing 80.10% of the microsatellites. The count and distribution of microsatellites on scaffold_0 to scaffold-100 are presented (Fig. 3 a and b). Scaffold 9 had the highest count of microsatellites (152), and it was also the longest scaffold. Microsatellites are basic to studying the genetic diversity and population structure of the pathogen, and also have potential to be used for tracking specific genes of interest.
Fig. 3
Fig. 3

Count (a) and distribution (b) of microsatellites on scaffold_0 to scaffold_100. The total length of the 101 scaffolds (0 to 100) is 31,436,433 bp, accounting for 85.15% of the total genome size and containing 80.10% of the microsatellites. Scaffold_9 is the longest (1,454,817 bp) and has the most microsatellites (152). In b, each cross mark represents a microsatellite at the corresponding position on that scaffold


The predicted genes may represent most functional genes in the V. carpophila genome and can be used as a new resource for developing molecular markers for genetic diversity studies, and for other research into the biology, ecology, taxonomy and phylogeny of the pathogen, and for research into host/pathogen coevolution.



The authors thank Minling Zhang, Bryan Blackburn, and Wanda Evans for their technical support. This article reports the results of research only. Mention of a trademark or proprietary product is solely for the purpose of providing specific information and does not constitute a guarantee or warranty of the product by the USDA and does not imply its approval to the exclusion of other products that may also be suitable.


The research is partly supported by USDA-ARS projects (No. 6606–21,220-012-00D and No. 6606–21,000-004-00D).

Authors’ contributions

CC, CB, and BW conceived the project and drafted the manuscript. CC performed genome bioinformatics and phylogenetic analysis. CB collected the isolate and extracted the DNA. Each author read and approved the final version of the manuscript.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

USDA, Agricultural Research Service, Southeastern Fruit and Tree Nut Research Lab, 21 Dunbar Road, Byron, GA 31008, USA


  1. Fisher EE. Venturia carpophila sp. nov., the ascigerous state of the apricot freckle fungus. Trans Br Mycol Soc. 1961;44:337–42.View ArticleGoogle Scholar
  2. Keitt GW. Peach scab and its control. Washington, DC: United States Department of Agriculture Bulletin No. 395; 1917.View ArticleGoogle Scholar
  3. Lan Z, Scherm H. Moisture sources in relation to conidial dissemination and infection by Cladosporium carpophilum within peach canopies. Phytopathology. 2003;93:1581–6.View ArticlePubMedGoogle Scholar
  4. Bock CH, Hotchkiss MW, Okie WR, Wood BW. The distribution of peach scab lesions on the surface of diseased peaches. Eur J Plant Pathol. 2011;130:393–402.View ArticleGoogle Scholar
  5. Schnabel G, Layne DR. Comparison of reduced-application and sulfur-based fungicide programs on scab intensity, fruit quality, and cost of disease control on peach. Plant Dis. 2004;88:162–6.View ArticleGoogle Scholar
  6. Schnabel G, Schnabel EL, Jones AL. Characterization of ribosomal DNA from Venturia inaequalis and its phylogenetic relationship to rDNA from other tree-fruit Venturia species. Phytopathology. 1999;89:100–8.View ArticlePubMedGoogle Scholar
  7. Schubert K. Taxonomic revision of the genus Cladosporium s. Lat. 3. A revision of Cladosporium species described by J.J. Davis and H.C. Greene (WIS). Mycotaxon. 2005;92:55–76.Google Scholar
  8. Schubert K, Ritschel A, Braun U. A monograph of Fusicladium s.Lat. (Hyphomycetes). Schlechtendalia. 2003;9:1–132.Google Scholar
  9. Bock CH, Chen CX, FH Y, Stevenson KL, Wood BW. Draft genome sequence of Fusicladium effusum, cause of pecan scab. Stand Genomic Sci. 2016;11:36.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Jones D. Venturia pyrina ICMP 11032 genome sequencing. NCBIGenBank, Bioproject, accession no. PRJNA232087. 2014. Accessed 26 May 2016.
  11. Deng C: Venturia inaequalis genome sequencing. NCBI-GenBank, Bioproject 261633, accession no. PRJNA261633. Accessed 26 May 2016. 2014.
  12. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, et al. Clustal W and clustal X version 2.0. Bioinformatics. 2007;23:2947–8.View ArticlePubMedGoogle Scholar
  13. Page RDM. TreeView: an application to display phylogenetic trees on personal computers. Comput Appl Biosci. 1996;12:357–8.PubMedGoogle Scholar
  14. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV, et al. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol. 2008;26:541–7.View ArticlePubMedPubMed CentralGoogle Scholar
  15. Seyran M, Nischwitz C, Lewis KJ, Gitaitis RD, Brenneman TB, Stevenson KL. Phylogeny of the pecan scab fungus Fusicladium effusum G. Winter based on the cytochrome b gene sequence. Mycol Prog. 2010;9:305–8.View ArticleGoogle Scholar
  16. Coil D, Jospin G, Darling AE. A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data. Bioinformatics. 2015;31:587–9.View ArticlePubMedGoogle Scholar
  17. Mohanta TK, Bae H. The diversity of fungal genome. Biological Procedures Online. 2015;17:8.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Campbell MS, Holt C, Moore B, Yandell M. Genome annotation and curation using MAKER and MAKER-P. Curr Protoc Bioinformatics. 2014;48:4 11 11–14 11 39.PubMedGoogle Scholar
  19. Jurka J, Kapitonov VV, Pavlicek A, Klonowski P, Kohany O, Walichiewicz J. Repbase update, a database of eukaryotic repetitive elements. Cytogenetic and Genome Research. 2005;110:462–7.View ArticlePubMedGoogle Scholar
  20. Stanke M, Diekhans M, Baertsch R, Haussler D. Using native and syntenically mapped cDNA alignments to improve de novo gene finding. Bioinformatics. 2008;24:637–44.View ArticlePubMedGoogle Scholar
  21. Marchler-Bauer A, Bryant SH. CD-search: protein domain annotations on the fly. Nucleic Acids Res. 2004;32:W327–31.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–402.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Sonnhammer ELL, Eddy SR, Durbin R. Pfam: a comprehensive database of protein domain families based on seed alignments. Proteins-Structure Function and Bioinformatics. 1997;28:405–20.View ArticleGoogle Scholar
  24. Schultz J, Milpetz F, Bork P, Ponting CP. SMART, a simple modular architecture research tool: identification of signaling domains. Proc Natl Acad Sci U S A. 1998;95:5857–64.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Tatusov RL, Galperin MY, Natale DA, Koonin EV. The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res. 2000;28:33–6.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Klimke W, Agarwala R, Badretdin A, Chetvernin S, Ciufo S, Fedorov B, Kiryutin B, O’Neill K, Resch W, Resenchuk S, et al. The National Center for biotechnology Information's protein clusters database. Nucleic Acids Res. 2009;37:D216–23.View ArticlePubMedGoogle Scholar
  27. Haft DH, Selengut JD, White O. The TIGRFAMs database of protein families. Nucleic Acids Res. 2003;31:371–3.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Bland C, Ramsey TL, Sabree F, Lowe M, Brown K, Kyrpides NC, Hugenholtz P. CRISPR recognition tool (CRT): a tool for automatic detection of clustered regularly interspaced palindromic repeats. BMC Bioinformatics. 2007;8:209.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997;25:955–64.View ArticlePubMedPubMed CentralGoogle Scholar
  30. Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35:3100–8.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods. 2011;8:785–6.View ArticlePubMedGoogle Scholar
  32. Krogh A, Larsson B, von Heijne G, Sonnhammer ELL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol. 2001;305:567–80.View ArticlePubMedGoogle Scholar
  33. Sutton DK, MacHardy WE, Lord WG. Effects of shredding or treating apple leaf litter with urea on ascospore dose of Venturia inaequalis and disease buildup. Plant Dis. 2000;84:1319–26.View ArticleGoogle Scholar
  34. Standish JR, Avenot HF, Brenneman TB, Stevenson KL. Location of an intron in the cytochrome b gene indicates reduced risk of QoI fungicide resistance in Fusicladium effusum. Plant Dis. 2016;100:2294–8.View ArticleGoogle Scholar
  35. Kirk PM, Cannon PF, Minter DW, Stalpers JA. Dictionary of the fungi. 10th ed. Wallingford: CABI; 2008.Google Scholar
  36. Luttrell ES. Taxonomy of Pyrenomycetes. Columbia: University of Missouri Studies 24; 1951.Google Scholar
  37. Barr ME. Classification of Loculoascomycetes. Mycologia. 1979;71:935–57.View ArticleGoogle Scholar
  38. De Notaris G. Cenno sulla tribu de’pirenomiceti sferiacei e descrizione di alcuni nuovi generi. Nuovo Giornale Botanico Italiano. 1844;1:322–35.Google Scholar
  39. Lawrence EG, Zehr EI. Environmental effects on the development and dissemination of Cladosporium carpophilum on peach. Phytopathology. 1982;72:773–6.View ArticleGoogle Scholar
  40. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al. Gene ontology: tool for the unification of biology. Nat Genet. 2000;25:25–9.View ArticlePubMedPubMed CentralGoogle Scholar


© The Author(s). 2017