Skip to main content
F1000Research logoLink to F1000Research
. 2017 Nov 8;6:1972. [Version 1] doi: 10.12688/f1000research.12867.1

Draft genomes of two Australian strains of the plant pathogen, Phytophthora cinnamomi

Amy L Longmuir 1, Peter L Beech 1,a, Mark F Richardson 2,3
PMCID: PMC5698912  PMID: 29188023

Abstract

Background: The oomycete plant pathogen, Phytophthora cinnamomi, is responsible for the destruction of thousands of species of native Australian plants, as well as several crops, such as avocado and macadamia, and has one of the widest host-plant ranges of the Phytophthora genus. The currently available genome of P. cinnamomi is based on an atypical strain and has large gaps in its assembly. To further studies of the pathogenicity of this species, especially in Australia, more robust assemblies of the genomes of more typical strains are required. Here we report the genome sequencing, draft assembly, and preliminary annotation of two geographically separated Australian strains of P. cinnamomi.

Findings:  Some 308 million raw reads were generated for the two strains. Independent genome assembly produced final genomes of 62.8 Mb (in 14,268 scaffolds) and 68.1 Mb (in 10,084 scaffolds), which are comparable in size and contiguity to other Phytophthora genomes. Gene prediction yielded > 22,000 predicted protein-encoding genes within each genome, while BUSCO assessment showed 82.5% and 81.8% of the eukaryote universal single-copy orthologs to be present in the assembled genomes, respectively.

Conclusions: The assembled genomes of two geographically distant isolates of Phytophthora cinnamomi will provide a valuable resource for further comparative analysis and evolutionary studies of this destructive pathogen, and further annotation of the presented genomes may yield possible targets for novel pathogen control methods.

Keywords: Phytophthora genome, plant pathogen, Phytophthora cinnamomi

Introduction

Phytophthora cinnamomi is a highly virulent plant pathogen that has a devastating impact of the Australian ecosystem, namely in the south-western areas of Western Australia and much of the south and east coasts of Victoria and New South Wales 1. In the south west Botanical Province of Western Australia, alone, over 40% of the 5710 plant species present have been shown to be susceptible to P. cinnamomi 2. Significant genetic and phenotypic variation can occur within a signal clonal linage of P. cinnamomi 3 and susceptibility of a given host plant species has been shown to vary from site to site 4. Furthermore, despite the general lack of crossing during sexual reproduction, P. cinnamomi excels at adapting to new environments and developing virulence to new host species through asexual growth, making it a deadly and difficult-to-control pathogen. Unravelling how P. cinnamomi is able to adapt so quickly, and remain virulent to a wide range of hosts in Australia, is an important research goal.

The currently available genome of P. cinnamomi var. cinnamomi (Joint Genome Institute (JGI); NCBI Accession no. PRJNA68241) is based on the Rans isolate from Sumatra in 1922, which has been in culture for many decades and may not be representative of the current pathogenic strains present in Australia. Here we report and make available two Australian P. cinnamomi genomes, isolated from geographically very separate areas with different available host species. After analyses of genetic differences between these two P. cinnamomi genomes, it may be that key genes or gene families under high evolutionary pressure can be identified; this may aid further studies on more effective control of this pathogen.

Sample collection and sequencing

Two isolates of P. cinnamomi were selected from areas of infection on either side of the Australian continent: one from the Brisbane Ranges in southeastern Australia (DU054, A2 mating type) 5 and the other from southwestern Western Australia (WA94.26, A2 mating type), both Deakin University culture collection. These isolates were selected to represent possible genetic diversity of P. cinnamomi in Australia arising from geographic isolation, and possible variation of selective pressures due to different host species. Isolates were maintained on V8 agar (V8A) [50 ml unclarified V8 ‘Original’ Juice (Campbells, Australia), 0.5 g CaCO 3 and 7.5 g biological agar per 500 mL of distilled water] at 25°C in darkness, as per 5. Genomic DNA was isolated from hyphae using a DNeasy Plant Mini Kit (Qiagen), following the manufacturers protocol. Illumina TruSeq Nano library preparation and sequencing on an Illumina HiSeq 2500 platform were performed by the Australian Genome Resources Facility (Walter and Eliza Hall Institute, Parkville, Australia) generating ~154 million (2x 150bp) raw reads per isolate. Raw reads are available in the NCBI Short Read Archive (SRA) under the Bioproject Accession: PRJNA413098

Genome assembly

Raw sequencing data for each isolate was first pre-processed using Trimmomatic v0.33 6 with the following parameters: ILLUMINACLIP:TruSeq3-PE-2.fa:2:30:10:4 AVGQUAL:30 MINLEN:36, to remove Illumina adapters and filter reads based on quality scores (Phred score). Only reads with average Phred > 30 were retained. To ensure only the desired P. cinnamomi genomes were assembled, a second round of pre-processing was conducted to remove potential contaminants. MetaPhlAn v2 7, was run with default settings and identified the Paenibacillus genus as a likely contaminate. Using BBMap v0.35 ( BBMap - Bushnell. B), we mapped the Trimmomatic-filtered reads to the closest species match ( Paenibacillus sp., JDR-2, GenBank accession: GCA_000023585.1, with 2.7% and 2.0% of DU054 and WA94.26 reads mapping, respectively; these Paenibacillus reads were subsequently removed. The remaining reads were then mapped using BBMap to the human genome (GRCh38; NCBI accession: GCA_000001405.15), with < 0.5% (~ 430,000 reads from DU054 and ~ 630,000 from WA94.26) being mapped and subsequently removed from the data set. Thus, the final set of reads (DU054, 149 million reads; WA94.26, 151 million reads) used for the assembly contained highly quality paired-end reads not belonging to either human or bacterial contaminants.

De novo contig assembly of the two genomes was conducted independently, using IDBA-UD v1.1.0 8. IDBA-UD was run using the following parameters: --mink 20 --maxk 100 --step 20 --min_contig 500 --min_support 2 --min_count 3. Briefly, these conducted a multiple K-mer assembly from k = 20 up to k = 100; only assembled contigs above 500 bp and those with a minimum depth coverage ≥ 3 were kept. As heterogeneous data can increase redundancy in genome assemblies, the IDBA-UD assembled contigs were run through the Redundans pipeline v0.12c 9 with the following parameters: -threads 4 -min_length 500. Redundans uses paired-end mapping data to reduce assembled sequence redundancy and scaffold contigs into longer less fragmented sequences. The final assembled genome of DU054 was 62.80 Mb in 14,269 scaffolds with an N50 of 9,951; the longest scaffold was 1.54 Mb in length ( Table 1). For WA94.26, the final genome was 68.07 Mb in length, in 10,085 scaffolds with the largest being 1.54 Mb and an N50 of 20,813. GC content remained consistent, at ~ 53%, between both isolate genomes across both assemblies and before and after processing with Redundans. The quality, as measured by the above metrics, of the presented genomes is comparable to the previously available P. cinnamomi var. cinnamomi Rans isolate genome (JGI).. The final genome assemblies are available under the NCBI Bioproject Accession: PRJNA413098.

Table 1. Summary of genomic features of assembled genomes comparing IDBA-UD output to scaffolded genome after Redundans processing and the P. cinnamomi Rans isolate genome.

DU054 WA94.26
IDBA-UD Redundans IDBA-UD Redundans
Assembly
size (Mb)
71.29 62.80 76.95 68.07
No. scaffolds 33,475 14,268 36,333 10,084
N50 (bp) 4,085 9,951 4,075 20,813
No. predicted
genes
NA 23,414 NA 22,573

We used the BUSCO (benchmarking universal single-copy orthologs) pipeline v1.22 10 with the default e-value cutoff of 0.01, to assess the completeness of the assembled genomes and compared the results to the previously available Rans isolate. Utilizing the set of 429 conserved eukaryotic single-copy orthologs (hereafter BUSCOs), the analysis indicated 82.5% and 81.8% BUSCO completeness for DU054 and WA94.26 genomes, respectively. For DU054, 335 complete BUSCOs (including single-copy and duplicated BUSCOs) and 19 fragmented BUSCOs were identified, and 333 complete and 19 fragmented BUSCOs in WA94.26 ( Table 2). Overall, we find comparable levels of BUSCO completeness with the Rans isolate, suggesting our two Australian isolate assemblies are as complete references as that currently available.

Table 2. Summary of BUSCO assessment.

DU054 WA94.26 P. cinnamomi var.
cinnamomi
Total BUSCOs 429 429 429
Complete and single copy
BUSCOs
262 (61.07%) 249 (58.04%) 281 (65.50%)
Complete and duplicate
BUSCOs
73 (17.01%) 84 (19.58%) 49 (11.42%)
Fragmented BUSCOs 19 (4.42%) 18 (4.19%) 17 (3.96%)
Missing BUSCOs 75 (17.48%) 78 (18.18%) 82 (19.11%)

Preliminary genome annotation

In the absence of any available high quality ESTs (expressed sequence tags) or transcriptome (gene expression) data for P. cinnamomi, we conducted a preliminary protein-coding sequence prediction using GeneMark-ES v4.32 11, which utilises a self-training algorithm to identify exon, intron and intergenic regions as well as initiation and termination sites. GeneMark-ES was run using the default settings and a database of predicted gene models (i.e., predicted polypeptides) was constructed for DU054 and WA94.26 genomes. An initial 23,414 gene models were identified in DU054 and 22,573 in WA94.26. Of these, 14,735 pairs of predicted gene models appear to be orthologous between the two genomes (reciprocal best-hit Blastp 10, e value ≤ 1e-5). As a preliminary verification of these gene model builds, we identified orthologous counterparts to eight available Phytophthora genomes with more complete annotations ( P. infestans 12, P. kernoviae 13, P. lateralis 14, P. nicotianae 15, P. parasitica (P1569_v1; Broad Institute), P. ramorum 16, P. sojae 16 and P. cinnamomi var. cinnamomi). Accordingly, we used OrthoFinder v1.1.10 17 with default parameters, except we used DIAMOND 18 as the alignment program with the diamond_more_sensitive flag. OrthoFinder first identifies ‘orthogroups’ (an extension of orthologues to include groups of genes descended from a single gene in the last common ancestor of a group of species 17) and then orthologues between each pair of species in the comparison. OrthoFinder assigned 88.5% (170,769) of the genes found in all the species to 19,089 orthogroups, and of these 50% of all the genes were contained in orthogroups, which had 10 or more genes within them. We found 2,931 orthogroups that contained genes for each of the species, and of these 1,309 orthogroups consisted entirely of single copy genes, see associated data repository 19. Using these single copy orthogroups gene trees were first constructed then the species tree was inferred using the distance-based implemented by fastme 20. The resultant species tree (see associated data repository 19) exhibits strong congruence to the Phytophthora phylogeny recently published by 21, providing more evidence that the genome assembly and preliminary annotation conducted here is valuable.

Conclusions

In summary, we present the genome assembly of two geographically separated isolates of Phytophthora cinnamomi from Australia, representing the first genome assembly of an Australian-isolated strain. These high-quality genomes will act as a valuable resource, particularly for the further identification and analysis of protein-encoding genes, which are expressed during plant infection, such as members of the avirulence gene families 22. These gene families are of specific interest in the development of novel and effective pathogen control mechanisms.

Data availability

The data referenced by this article are under copyright with the following copyright statement: Copyright: © 2017 Longmuir AL et al.

Raw reads are available in the NCBI SRA under the Bioproject Accession: PRJNA413098

The final assemblies are available at DDBJ/EMBL/GenBank under the accessions, PDCY00000000 and PDCZ00000000 and under the Bioproject Accession: PRJNA413098.

Supporting data, including OrthoFinder analysis and BUSCO assessment results can be found in the associated data repository: doi, 10.4225/16/59d15a6917a5e 19. Data are available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0).

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

[version 1; referees: 2 approved

References

  • 1. Cahill DM, Rookes JE, Wilson BA, et al. : Phytophthora cinnamomi and Australia’s biodiversity: impacts, predictions and progress towards control. Aust J Bot. 2008;56(4):279–310. 10.1071/BT07159 [DOI] [Google Scholar]
  • 2. Shearer BL, Crane CE, Barrett S, et al. : Phytophthora cinnamomi invasion, a major threatening process to conservation of flora diversity in the South-west Botanical Province of Western Australia. Aust J Bot. 2007;55(3):225–238. 10.1071/BT06019 [DOI] [Google Scholar]
  • 3. Hüberli D, Tommerup IC, Dobrowolski MP, et al. : Phenotypic variation in a clonal lineage of two Phytophthora cinnamomi populations from Western Australia. Mycol Res. 2001;105(9):1053–1064. 10.1016/S0953-7562(08)61967-X [DOI] [Google Scholar]
  • 4. Shearer B, Dillon M: Susceptibility of plant species in Banksia woodlands on the Swan Coastal Plain, Western Australia, to infection by Phytophthora cinnamomi. Aust J Bot. 1996;44(4):433–445. 10.1071/BT9960433 [DOI] [Google Scholar]
  • 5. Rookes JE, Wright ML, Cahill DM: Elucidation of defence responses and signalling pathways induced in Arabidopsis thaliana following challenge with Phytophthora cinnamomi. Physiological and Molecular Plant Physiology. 2008;72(4–6):151–161. 10.1016/j.pmpp.2008.08.005 [DOI] [Google Scholar]
  • 6. Bolger AM, Lohse M, Usadel B: Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20. 10.1093/bioinformatics/btu170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Segata N, Waldron L, Ballarini A, et al. : Metagenomic microbial community profiling using unique clade-specific marker genes. Nat Meth. 2012;9(8):811–814. 10.1038/nmeth.2066 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Peng Y, Leung HC, Yiu SM, et al. : IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth. Bioinformatics. 2012;28(11):1420–1428. 10.1093/bioinformatics/bts174 [DOI] [PubMed] [Google Scholar]
  • 9. Pryszcz LP, Gabaldón T: Redundans: an assembly pipeline for highly heterozygous genomes. Nucleic Acids Res. 2016;44(12):e113. 10.1093/nar/gkw294 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Simao FA, Waterhouse RM, Ioannidis P, et al. : BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics. 2015;31(19):3210–3212. 10.1093/bioinformatics/btv351 [DOI] [PubMed] [Google Scholar]
  • 11. Lomsadze A, Ter-Hovhannisyan V, Chernoff YO, et al. : Gene identification in novel eukaryotic genomes by self-training algorithm. Nucleic Acids Res. 2005;33(20):6494–6506. 10.1093/nar/gki937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Haas BJ, Kamoun S, Zody MC, et al. : Genome sequence and analysis of the Irish potato famine pathogen Phytophthora infestans. Nature. 2009;461(7262):393–398. 10.1038/nature08358 [DOI] [PubMed] [Google Scholar]
  • 13. Sambles C, Schlenzig A, O’Neill P, et al. : Draft genome sequences of Phytophthora kernoviae and Phytophthora ramorum lineage EU2 from Scotland. Genom Data. 2015;6:193–194. 10.1016/j.gdata.2015.09.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Quinn L, O’Neill PA, Harrison J, et al. : Genome-wide sequencing of Phytophthora lateralis reveals genetic variation among isolates from Lawson cypress ( Chamaecyparis lawsoniana) in Northern Ireland. FEMS Microbiol Lett. 2013;344(2):179–185. 10.1111/1574-6968.12179 [DOI] [PubMed] [Google Scholar]
  • 15. Liu H, Ma X, Yu H, et al. : Genomes and virulence difference between two physiological races of Phytophthora nicotianae. Gigascience. 2016;5:3. 10.1186/s13742-016-0108-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Tyler BM, Tripathy S, Zhang X, et al. : Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis. Science. 2006;313(5791):1261–1266. 10.1126/science.1128796 [DOI] [PubMed] [Google Scholar]
  • 17. Emms DM, Kelly S: OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy. Genome Biol. 2015;16(1):157. 10.1186/s13059-015-0721-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Buchfink B, Xie C, Huson DH: Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2015;12(1):59–60. 10.1038/nmeth.3176 [DOI] [PubMed] [Google Scholar]
  • 19. Longmuir A, Beech P, Richardson M: Supporting data for "Draft Genomes of two Australian strains of the plant pathogen, Phytophthora cinnamomi". [data collection],2017. 10.4225/16/59d15a6917a5e [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Lefort V, Desper R, Gascuel O: FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program. Mol Biol Evol. 2015;32(10):2798–800. 10.1093/molbev/msv150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. McCarthy CGP, Fitzpatrick DA: Phylogenomic Reconstruction of the Oomycete Phylogeny Derived from 37 Genomes. mSphere. 2017;2(2): pii: e00095-17. 10.1128/mSphere.00095-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Bos JI, Kanneganti TD, Young C: The C‐terminal half of Phytophthora infestans RXLR effector AVR3a is sufficient to trigger R3a-mediated hypersensitivity and suppress INF1-induced cell death in Nicotiana benthamiana. Plant J. 2006;48(2):165–176. 10.1111/j.1365-313X.2006.02866.x [DOI] [PubMed] [Google Scholar]
F1000Res. 2017 Nov 28. doi: 10.5256/f1000research.13945.r28065

Referee response for version 1

David J Studholme 1

This manuscript announces the availability of genomic sequence data from Phytophthora cinnammomi strains DU054 and WA94.26. This is a useful resource for researchers interested in this important pathogen. The authors have deposited and made available the raw sequence data in SRA and their assemblies in GenBank, which is commendable. The genome annotation and protein sequences do not appear to be deposited in GenBank, however. This does not preclude publication, but when discussing predicted genes in the manuscript, the authors should be up-front about this or provide full details of the annotations in supplementary data or deposit them in some public repository.

One oversight that the authors should be aware of is the previous publication of two genome sequences of this species, one of which (MP94-48) is from Australia. See Studholme et al. (2015) 1. So, the authors' assertion (in their Conclusions section) that this is the first genome assembly from an Australian strain should be revised. The authors should also include those two assemblies in their comparisons of assembly quality metrics. And also please revise the several other mentions of previously sequenced genome throughout the text in the light of the additional two previously sequenced genomes. Also, it would be interesting to assess how similar or different all these four available P.c. genome sequences are to each other, e.g. by calculating pairwise ANIs.

Some specific points that should be addressed around the methodology:

  1. Why were reads mapped against the human genome? Why should contamination from human DNA be more prevalent or likely than from other organisms?

  2. The authors make good efforts to remove contaminating Paenibacillus sequence reads. Interestingly, we also observed contamination of Phytophthora genomic DNA with this bacterial genus. However, the authors go on to claim that the data contained "highly quality reads not belonging to ... bacterial contaminants". Their approach does not remove non-Paenibacillus bacterial contaminants.

  3. Please cite a reference to support the claim that "heterogeneous data can increase redundancy in genome assemblies". It is not entirely clear what this statement means, precisely, and in any case it is not self-evident and needs to be supported by peer-reviewed publication.

  4. The use of BUSCO version 1.22 is questionable, given that versions 2 and 3 are now available. Furthermore, rather than using the general Eukaryote set of BUSCOs, the authors should use the Stramenopile set.

  5. The completeness of the genome assemblies is rather poor (only < 65% of expected genes are present intact in a single copy). It would be useful to compare/benchmark this against other available Phytophthora genome sequences. For example, our recent sequencing of P. ramorum genomes, we found around 81- 85% of Stramenopile BUSCOs were intact and single-copy in each genome (See PubMed ID 28243575).

  6. Towards the end of page 4, the authors claim that the "preliminary annotation ... is valuable". I agree and would go further to say that not just the annotation but the genome sequencing per se is valuable. I would also suggest including a brief explanation of how/why the presented data is valuable. 

  7. The authors say that their annotation is valuable, but the annotation has not apparently been deposited in a public repository. Therefore, please either make this valuable resource available, or remove the claim that it is valuable.

Some very minor points:

  1. In the Introduction, it was not obvious to me what is meant by a "Botanical Province". Please consider explaining this term.

  2. Please add an apostrophe after "manufacturers".

  3. At several places in the text, the authors write "parameters" when they really mean "parameter values" or "options" or "switches". Please check and revise.

  4. Please write "high-quality" not "highly quality".

  5. On page 3, the authors say that no gene expression data are available for this species. This is untrue, since EST data (i.e. expressed sequence tags) are available. Furthermore, in the SRA, there are several RNAseq datasets available: 

    Illumina HiSeq 2000 sequencing; RNAseq analysis of germinating cysts of Phytophthora cinnamomi 1 ILLUMINA (Illumina HiSeq 2000) run: 46,420 spots, 4.2M bases, 3.5Mb downloads Accession: ERX709652 Select item 14623972.

    Illumina HiSeq 2000 paired end sequencing 1 ILLUMINA (Illumina HiSeq 2000) run: 9.9M spots, 1.8G bases, 1.1Gb downloads Accession: ERX943317 Select item 1426113.

    Phytophthora cinnamomi library 1 ILLUMINA (Illumina HiSeq 2000) run: 88.1M spots, 17.6G bases, 10.3Gb downloads Accession: SRX124562 Select item 1426104.

    Phytophthora cinnamomi library 1 ILLUMINA (Illumina HiSeq 2000) run: 30,453 spots, 6.1M bases, 2.6Mb downloads Accession: SRX124561 Select item 1426095.

    Phytophthora cinnamomi library1 ILLUMINA (Illumina HiSeq 2000) run: 50.6M spots, 10.1G bases, 5.9Gb downloads Accession: SRX124560 Select item 1426086.

    Phytophthora cinnamomi library 2 ILLUMINA (Illumina HiSeq 2000) runs: 38.5M spots, 7.7G bases, 4.5Gb downloads Accession:  SRX124559

  6. ​​When quoting N50 values, please include the units. For example, the N50 for DU054 was 9,951 bp or nt.

  7. The authors refer to (on page 4) "more complete annotations" of several species. Among these examples is P. lateralis and a citation of our paper (PubMed 23678994) about the sequencing of this species' genome; however, I would not agree that its annotation is "more complete".

  8. On page 3, second paragraph, the authors write "the available genome". It is not the "genome" that is available; rather it is the "genome sequence".

Once the authors have addressed all these issues, I would be very pleased to see this indexed.

I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

References

  • 1. Studholme DJ, McDougal RL, Sambles C, Hansen E, Hardy G, Grant M, Ganley RJ, Williams NM: Genome sequences of six Phytophthora species associated with forests in New Zealand. Genom Data.2016;7: 10.1016/j.gdata.2015.11.015 54-6 10.1016/j.gdata.2015.11.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
F1000Res. 2017 Nov 20. doi: 10.5256/f1000research.13945.r27740

Referee response for version 1

Erik Andreasson 1, Laura Grenville Briggs 1

This data adds information about this important organism in the standard format to report a draft genome these days so it looks fine. They used hiseq and sequence coverage (BUSCO) looks appropriate and expected although there are relatively large differences between the two isolates (i.e .different final genome sizes and busco completeness scores). One suggestion is to add information on how many libraries they sequenced, and if it was only paired end and not also mate paired.

We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2017 Nov 17. doi: 10.5256/f1000research.13945.r27739

Referee response for version 1

Nicolás Daniel Ayub 1

The work was carried out professionally and resulted in good draft genomes of two pathogen strains belonging to Phytophthora genus. In my opinion, this article is an important contribution to future studies about the molecular mechanism involved in Phytophthora-plant interaction. Particularly, in the first steps of pathogen adhesion, where the virulence factors related to this are little known.

I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Associated Data

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

    Data Availability Statement

    The data referenced by this article are under copyright with the following copyright statement: Copyright: © 2017 Longmuir AL et al.

    Raw reads are available in the NCBI SRA under the Bioproject Accession: PRJNA413098

    The final assemblies are available at DDBJ/EMBL/GenBank under the accessions, PDCY00000000 and PDCZ00000000 and under the Bioproject Accession: PRJNA413098.

    Supporting data, including OrthoFinder analysis and BUSCO assessment results can be found in the associated data repository: doi, 10.4225/16/59d15a6917a5e 19. Data are available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0).


    Articles from F1000Research are provided here courtesy of F1000 Research Ltd

    RESOURCES