Literature DB >> 28243575

Genome sequences of 12 isolates of the EU1 lineage of Phytophthora ramorum, a fungus-like pathogen that causes extensive damage and mortality to a wide range of trees and other plants.

Judith Turner1, Paul O'Neill2, Murray Grant2, Rick A Mumford1, Richard Thwaites1, David J Studholme2.   

Abstract

Here we present genome sequences for twelve isolates of the invasive pathogen Phytophthora ramorum EU1. The assembled genome sequences and raw sequence data are available via BioProject accession number PRJNA177509. These data will be useful in developing molecular tools for specific detection and identification of this pathogen.

Entities:  

Year:  2017        PMID: 28243575      PMCID: PMC5320048          DOI: 10.1016/j.gdata.2017.02.006

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Direct link to deposited data

https://www.ncbi.nlm.nih.gov/bioproject/177509

Experimental design, materials and methods

Fungus-like pathogens belonging to the oomycete genus Phytophthora pose significant threats to a wide range of plants [1]. Recent studies have generated whole-genome sequence data for Phytophthora species that cause disease in trees [2], [3], [4], [5], [6]. Phytophthora ramorum is an exotic pathogen whose geographical origin is unknown. In North America, P. ramorum is responsible for Sudden Oak Death while in Europe it causes Sudden Larch Death and Ramorum Blight [7], [8], [9], [10]. Four distinct lineages are known, which have been isolated from each other for hundreds of millennia [11], [12], [13]. For more than a decade, a reference genome sequence was available [14] for NA1, the lineage that has established itself in the wild (i.e. outside of the nursery trade) in North America. No genome sequence was available for lineage EU1, the first lineage to be discovered in Europe and which has subsequently been detected in North America [15] [16]. We previously reported genome sequences [3] for one of the two lineages found in Europe, namely EU2. Here we present the first genome sequences for lineage EU1 isolates, which were collected from several host species in several counties of England (see Table 1). The availability of genome sequences from multiple lineages will help to address the question of what are the genetic differences that underlie observed phenotypic differences [17] among the lineages as well evolutionary relationships among lineages and the possibility of identifying lineage-specific molecular markers. Availability of sequence data from multiple isolates within a single lineage may further offer insights into the recent evolutionary events following colonization of a new geographical range and new host populations [18]. In the absence of sexual recombination in these diploid pathogens, one mechanism for rapid adaptation may be aneuploidy and/or loss of heterozygosity (LOH) [19], [20], [21], [22], [23].
Table 1

Isolates and raw sequence data. All samples were collected by The Plant Health and Seeds Inspectorate except for CC12475 and CC14654, which were collected by Fera.

IsolateYearSourceCountyBioSampleSRARead 1 (bp)Read 2 (bp)Read pairsPlatform
CC124752007SoilCornwallSAMN01797768SRX202256737310,929,957HiSeq 2000
CC146542009Leaf detritusCornwallSAMN01797770SRX202259737332,069,494HiSeq 2000
CC21842004Taxus sp.CornwallSAMN01797769SRX202257737326,720,144HiSeq 2000
CC10082002Rhododendron sp.West SussexSAMN05823577SRX21901411008035,377,462HiSeq 2000
CC10332002Viburnum sp.DorsetSAMN05823579SRX21901421008029,037,290HiSeq 2000
CC10482002Viburnum sp.GloucestershireSAMN01797771SRX202261737319,206,505HiSeq 2000
CC21682009Camellia sp.CornwallSAMN05823583SRX21901431008031,267,535HiSeq 2000
CC21762009Pieris sp.CornwallSAMN05823584SRX21901441008032,285,291HiSeq 2000
CC21862009Rhododendron sp.DevonSAMN05823586SRX21901451008022,816,927HiSeq 2000
CC21872009Rhododendron sp.CornwallSAMN05823587SRX21901461008028,439,345HiSeq 2000
CC22752004Laurus nobilisCornwallSAMN01797766SRX20225810010094,913,722GA IIx
CC10112002Rhododendron sp.CheshireSAMN01797767SRX202260100100191,582,259GA IIx
Isolates and raw sequence data. All samples were collected by The Plant Health and Seeds Inspectorate except for CC12475 and CC14654, which were collected by Fera. Paired-reads were generated from genomic sequence libraries, following the manufacturer's instructions, on the Illumina HiSeq 2000 or Illumina GA IIx massively parallel sequencing platforms. Numbers of reads, lengths and database accession numbers for the raw reads are listed in Table 1. We filtered low-quality data and contaminating adaptor sequences using TrimGalore [24], which wraps the Cutadapt tool [25]. The full TrimGalore command line was “trim_galore –q 30 –paired read1.fq read2.fq”. We then assembled the filtered reads using SPAdes 3.9.0 [26] with the following command line: “spades.py --careful -t 8 --pe1-1 read1-filtered.fq --pe1-2 read1-filtered.fq -o output-directory”. During submission of the assemblies to GenBank [27], we removed sequences identified by the NCBI curators as contamination from vectors, mitochondria, bacteria etc. Assembly statistics are summarized in Table 2.
Table 2

Assembly statistics.

IsolateGenBank accession numberTotal length (bp)Genomic coverageNumber of contigsNumber of scaffoldsContig N50 (bp)Scaffold N50 (bp)
CC1008MLJA0000000039,143,61853.4 ×5099462520,82424,587
CC1033MLJB0000000039,265,44341.4 ×5112466621,41025,459
CC1048MLJC0000000039,184,27728.3 ×4887456222,10425,016
CC12475MLIX0000000038,872,79717.0 ×4749444922,49324,333
CC14654MLIY0000000038,990,77947.0 ×5403480218,35523,539
CC2168MLJD0000000039,189,19847.6 ×5208470719,71024,940
CC2176MLJE0000000039,297,62546.6 ×5050463520,98324,953
CC2184MLIZ0000000039,039,51539.6 ×5237470619,15824,300
CC2186MLJF0000000040,428,50132.9 ×6372537819,24923,332
CC2187MLJG0000000039,213,67742.0 ×5054461221,71425,338
CC2275AMZZ0000000038,865,974162.0 ×5507244517,35823,300
CC1011MRWH0000000040,766,767310.2 ×6920595915,33221,758
Assembly statistics. We assessed the completeness of the genome assemblies using BUSCO (Benchmarking Universal Single-Copy Orthologs) [28], which checks for the presence of single-copy orthologous genes commonly conserved across eukaryotes. BUSCO denotes each gene as “complete single copy”, “complete duplicated”, “fragmented”, or “missing” in the assembly. Table 2 shows the percentage of these 429 genes that are “complete single copy” in each genome assembly. The levels of completeness (83.22 to 84.15) are comparable to those of six recently published Phytophthora genomes [5], which had up to 82.8% completeness, as assessed by the same method (Table 3).
Table 3

Completeness of assemblies assessed using BUSCO [28].

AssemblyComplete single copyComplete duplicatedFragmentedMissingTotal
EU1 CC2168 (this study)361 (84.15%)58959429
EU1 CC2184 (this study)361 (84.15%)621058429
EU1 CC2187 (this study)361 (84.15%)621058429
EU2 SOD158 [3]361 (84.15%)621157429
EU1 CC2176 (this study)360 (83.92%)621059429
EU2 SOD136 [3]360 (83.92%)611158429
EU1 CC14654 (this study)359 (83.68%)581159429
EU2 996/3 (6)359 (83.68%)781357429
EU2 SOD22 [3]359 (83.68%)641258429
EU1 CC1008 (this study)358 (83.45%)621259429
EU1 CC1033 (this study)358 (83.45%)601259429
EU1 CC2186 (this study)358 (83.45%)661160429
EU2 SOD58 [3]358 (83.45%)591358429
EU1 CC12475 (this study)357 (83.22%)621260429
EU1 CC2275 (this study)357 (83.22%)561260429
EU2 SOD69 [3]357 (83.22%)611458429
EU2 SODL51 [3]357 (83.22%)641359429
EU1 CC1048 (This study)356 (82.98%)571261429
NA1 Pr102 [14]351 (81.82%)651662429
Completeness of assemblies assessed using BUSCO [28]. Average nucleotide identities (ANI) were calculated, using the dnadiff tool in MUMMer [29], [30], between EU1 and previously published assemblies of closely related genomes [3], [4], [5], [6], [14]. The Pr EU1 assembly shared 99.2% ANI with Pr NA1 and 98.7% ANI with Pr EU2 suggesting a more ancient divergence between EU1 and EU2 than between EU1 and NA1. Between Pr EU1 and its sister species P. lateralis, there was 91.5% ANI. The dnadiff analysis also revealed that 1.5% of the EU1 genome is not alignable against the previously published genomes of EU2 and NA1, suggesting that there is a significant complement of lineage-specific genome content, including genes encoding effector proteins. Heterozygosity has previously been observed in P. ramorum lineage NA1 [14] and is apparent in the newly presented data here for lineage EU1. We surveyed the distribution of heterozygosity across the genome by aligning sequence reads against the previously published genome sequence assembly of NA1 [14], which we downloaded from the Joint Genome Institute at http://genome.jgi.doe.gov/ramorum1/ramorum1.download.ftp.html. Prior to alignment using BWA-mem [31], [32], the reads were first filtered using TrimGalore as described above. The resulting alignment was converted to mpileup format using SAMtools [33]. By parsing the mpileup file, it was possible to count the number of sites that were probably homozygous (> 95% consensus among aligned reads) and those that were probably heterozygous (> 45% and < 55% consensus). Fig. 1 and Fig. 2 show plots of rates of heterozygosity respectively over scaffold 7 and scaffold 24 of the reference genome. On scaffold 7, there are large stretches with little or no heterozygosity in isolates CC2168, CC2176, CC2184, CC2186, CC2275 and CC12475 while the same regions show normal levels of heterozygosity in the other isolates. This suggests that CC2168, CC2176, CC2184, CC2186, CC2275 and CC12475 have undergone LOH in these regions of scaffold 7. The depths of sequencing coverage are normal (see panel B in Fig. 1) across the LOH regions, indicating that this is copy-number-neutral LOH rather than hemizygosity. Similarly, isolate CC2184 appears to have undergone copy-number-neutral LOH on scaffold 24 (Fig. 2); similar patterns can be observed on several other genomic scaffolds including scaffolds 11, 14, 16 and 33. It is not clear whether these putative LOH events occurred during growth on the host plant or whether they occurred subsequently in the laboratory after collection. However, a recent study of phenotypic and genetic variation in lineage NA1 concluded that partial aneuploidy and copy-neutral LOH were induced by the host. The most unique pattern of LOH among the EU1 isolates was observed for isolate CC2184 from yew (Taxus sp.); it would be interesting to survey additional isolates from this host and check whether they display the same distinctive LOH profile across their genomes.
Fig. 1

Heterozygosity profiles of twelve Phytophthora ramorum EU1 isolates over scaffold 7. The previously published P. ramorum NA1 genome sequence [14] was downloaded from the Joint Genome Institute at http://genome.jgi.doe.gov/ramorum1/ramorum1.download.ftp.html and used as a reference sequence, against which genomic sequence reads from each of the 12 isolates were aligned with BWA-mem [31], [32]. Panel A: we used a sliding window of 1000 nucleotides to calculate the rate of heterozygosity. Proportion of single-nucleotide positions at which 45–55% of the aligned reads contain the second-most abundant nucleotide was expressed as a percentage; that is the vertical axis represents percentage heterozygosity. Panel B: we used a sliding window of 1000 nucleotides to calculate average depth of coverage by aligned reads. The vertical axis represents depth of coverage, normalized so that the median depth over the whole genome is one. In both panels, the horizontal axis represents position on the scaffold and regions of zero heterozygosity are highlighted in yellow.

Fig. 2

Heterozygosity profiles of twelve Phytophthora ramorum EU1 isolates over scaffold 24. The previously published P. ramorum NA1 genome sequence [14] was downloaded from the Joint Genome Institute at http://genome.jgi.doe.gov/ramorum1/ramorum1.download.ftp.html and used as a reference sequence, against which genomic sequence reads from each of the 12 isolates were aligned with BWA-mem [31], [32]. Panel A: we used a sliding window of 1000 nucleotides to calculate the rate of heterozygosity. Proportion of single-nucleotide positions at which 45–55% of the aligned reads contain the second-most abundant nucleotide was expressed as a percentage; that is the vertical axis represents percentage heterozygosity. Panel B: we used a sliding window of 1000 nucleotides to calculate average depth of coverage by aligned reads. The vertical axis represents depth of coverage, normalized so that the median depth over the whole genome is one. In both panels, the horizontal axis represents position on the scaffold and regions of zero heterozygosity are highlighted in yellow.

Heterozygosity profiles of twelve Phytophthora ramorum EU1 isolates over scaffold 7. The previously published P. ramorum NA1 genome sequence [14] was downloaded from the Joint Genome Institute at http://genome.jgi.doe.gov/ramorum1/ramorum1.download.ftp.html and used as a reference sequence, against which genomic sequence reads from each of the 12 isolates were aligned with BWA-mem [31], [32]. Panel A: we used a sliding window of 1000 nucleotides to calculate the rate of heterozygosity. Proportion of single-nucleotide positions at which 45–55% of the aligned reads contain the second-most abundant nucleotide was expressed as a percentage; that is the vertical axis represents percentage heterozygosity. Panel B: we used a sliding window of 1000 nucleotides to calculate average depth of coverage by aligned reads. The vertical axis represents depth of coverage, normalized so that the median depth over the whole genome is one. In both panels, the horizontal axis represents position on the scaffold and regions of zero heterozygosity are highlighted in yellow. Heterozygosity profiles of twelve Phytophthora ramorum EU1 isolates over scaffold 24. The previously published P. ramorum NA1 genome sequence [14] was downloaded from the Joint Genome Institute at http://genome.jgi.doe.gov/ramorum1/ramorum1.download.ftp.html and used as a reference sequence, against which genomic sequence reads from each of the 12 isolates were aligned with BWA-mem [31], [32]. Panel A: we used a sliding window of 1000 nucleotides to calculate the rate of heterozygosity. Proportion of single-nucleotide positions at which 45–55% of the aligned reads contain the second-most abundant nucleotide was expressed as a percentage; that is the vertical axis represents percentage heterozygosity. Panel B: we used a sliding window of 1000 nucleotides to calculate average depth of coverage by aligned reads. The vertical axis represents depth of coverage, normalized so that the median depth over the whole genome is one. In both panels, the horizontal axis represents position on the scaffold and regions of zero heterozygosity are highlighted in yellow. Whole-genome sequence data are now available for multiple isolates of both of the P. ramorum lineages found in Europe, that is EU1 (this study) and EU2 [3], [6] as well as for the NA1 lineage found in North America [14]. As well as being a resource for biological and evolutionary research on this important invasive species, it also allows the identification of genomic sequences that could be targeted in new molecular tools for detection and identification of the species and lineages. Furthermore, identification of loci that are polymorphic among different isolates within the single lineage offers opportunities to track the spread of the pathogen in time and space at high resolution.
Specifications [standardized info for the reader]
Organism/cell line/tissueTwelve isolates of the EU2 lineage of Phytophthora ramorum
SexNot applicable
Sequencer or array typeIllumina HiSeq 2000 and Illumina GA II
Data formatAnalysed; i.e. raw data filtered and assembled
Experimental factorsGenomic sequences of pure microbial cultures
Experimental featuresGenomic sequences of pure microbial cultures
ConsentNot applicable; data are available without restriction
Sample source locationAll isolates were collected in the United Kingdom
  24 in total

1.  Fast algorithms for large-scale genome alignment and comparison.

Authors:  Arthur L Delcher; Adam Phillippy; Jane Carlton; Steven L Salzberg
Journal:  Nucleic Acids Res       Date:  2002-06-01       Impact factor: 16.971

2.  BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

Authors:  Felipe A Simão; Robert M Waterhouse; Panagiotis Ioannidis; Evgenia V Kriventseva; Evgeny M Zdobnov
Journal:  Bioinformatics       Date:  2015-06-09       Impact factor: 6.937

3.  Genome sequencing and mapping reveal loss of heterozygosity as a mechanism for rapid adaptation in the vegetable pathogen Phytophthora capsici.

Authors:  Kurt H Lamour; Joann Mudge; Daniel Gobena; Oscar P Hurtado-Gonzales; Jeremy Schmutz; Alan Kuo; Neil A Miller; Brandon J Rice; Sylvain Raffaele; Liliana M Cano; Arvind K Bharti; Ryan S Donahoo; Sabra Finley; Edgar Huitema; Jon Hulvey; Darren Platt; Asaf Salamov; Alon Savidor; Rahul Sharma; Remco Stam; Dylan Storey; Marco Thines; Joe Win; Brian J Haas; Darrell L Dinwiddie; Jerry Jenkins; James R Knight; Jason P Affourtit; Cliff S Han; Olga Chertkov; Erika A Lindquist; Chris Detter; Igor V Grigoriev; Sophien Kamoun; Stephen F Kingsmore
Journal:  Mol Plant Microbe Interact       Date:  2012-10       Impact factor: 4.171

4.  Loss of heterozygosity in Phytophthora capsici after N-ethyl-nitrosourea mutagenesis.

Authors:  Jon Hulvey; Jacque Young; Ledare Finley; Kurt Lamour
Journal:  Mycologia       Date:  2010 Jan-Feb       Impact factor: 2.696

5.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

6.  Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis.

Authors:  Brett M Tyler; Sucheta Tripathy; Xuemin Zhang; Paramvir Dehal; Rays H Y Jiang; Andrea Aerts; Felipe D Arredondo; Laura Baxter; Douda Bensasson; Jim L Beynon; Jarrod Chapman; Cynthia M B Damasceno; Anne E Dorrance; Daolong Dou; Allan W Dickerman; Inna L Dubchak; Matteo Garbelotto; Mark Gijzen; Stuart G Gordon; Francine Govers; Niklaus J Grunwald; Wayne Huang; Kelly L Ivors; Richard W Jones; Sophien Kamoun; Konstantinos Krampis; Kurt H Lamour; Mi-Kyung Lee; W Hayes McDonald; Mónica Medina; Harold J G Meijer; Eric K Nordberg; Donald J Maclean; Manuel D Ospina-Giraldo; Paul F Morris; Vipaporn Phuntumart; Nicholas H Putnam; Sam Rash; Jocelyn K C Rose; Yasuko Sakihama; Asaf A Salamov; Alon Savidor; Chantel F Scheuring; Brian M Smith; Bruno W S Sobral; Astrid Terry; Trudy A Torto-Alalibo; Joe Win; Zhanyou Xu; Hongbin Zhang; Igor V Grigoriev; Daniel S Rokhsar; Jeffrey L Boore
Journal:  Science       Date:  2006-09-01       Impact factor: 47.728

7.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

8.  Genome sequences of six Phytophthora species associated with forests in New Zealand.

Authors:  D J Studholme; R L McDougal; C Sambles; E Hansen; G Hardy; M Grant; R J Ganley; N M Williams
Journal:  Genom Data       Date:  2015-11-22

9.  Draft genome sequences of seven isolates of Phytophthora ramorum EU2 from Northern Ireland.

Authors:  Lourdes de la Mata Saez; Alistair R McCracken; Louise R Cooke; Paul O'Neill; Murray Grant; David J Studholme
Journal:  Genom Data       Date:  2015-09-22

10.  Genome sequences of six Phytophthora species threatening forest ecosystems.

Authors:  Nicolas Feau; Greg Taylor; Angela L Dale; Braham Dhillon; Guillaume J Bilodeau; Inanç Birol; Steven J M Jones; Richard C Hamelin
Journal:  Genom Data       Date:  2016-10-03
View more
  4 in total

1.  Genomic biosurveillance detects a sexual hybrid in the sudden oak death pathogen.

Authors:  Richard C Hamelin; Guillaume J Bilodeau; Renate Heinzelmann; Kelly Hrywkiw; Arnaud Capron; Erika Dort; Angela L Dale; Emilie Giroux; Stacey Kus; Nick C Carleson; Niklaus J Grünwald; Nicolas Feau
Journal:  Commun Biol       Date:  2022-05-19

2.  Mitotic Recombination and Rapid Genome Evolution in the Invasive Forest Pathogen Phytophthora ramorum.

Authors:  Angela L Dale; Nicolas Feau; Sydney E Everhart; Braham Dhillon; Barbara Wong; Julie Sheppard; Guillaume J Bilodeau; Avneet Brar; Javier F Tabima; Danyu Shen; Clive M Brasier; Brett M Tyler; Niklaus J Grünwald; Richard C Hamelin
Journal:  mBio       Date:  2019-03-12       Impact factor: 7.867

3.  Genome sequencing of oomycete isolates from Chile supports the New Zealand origin of Phytophthora kernoviae and makes available the first Nothophytophthora sp. genome.

Authors:  David J Studholme; Preeti Panda; Eugenio Sanfuentes Von Stowasser; Mariela González; Rowena Hill; Christine Sambles; Murray Grant; Nari M Williams; Rebecca L McDougal
Journal:  Mol Plant Pathol       Date:  2018-12-05       Impact factor: 5.663

4.  Characterization of phenotypic variation and genome aberrations observed among Phytophthora ramorum isolates from diverse hosts.

Authors:  Marianne Elliott; Jennifer Yuzon; Mathu Malar C; Sucheta Tripathy; Mai Bui; Gary A Chastagner; Katie Coats; David M Rizzo; Matteo Garbelotto; Takao Kasuga
Journal:  BMC Genomics       Date:  2018-05-02       Impact factor: 3.969

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.