Abstract
In the United Arab Emirates, sudden decline syndrome (SDS) is a destructive disease of date palm caused by the soil-borne fungal pathogen Fusarium proliferatum (Fp) DSM106835. Here, a high-resolution genome assembly of Fp DSM106835 was generated using PacBio HiFi sequencing with Omni-C data to provide a high-quality chromatin-organised reference genome with 418 scaffolds, totalling 58,468,907 bp in length and an N50 value of 4,383,091 bp from which 15,580 genes and 16,321 transcripts were predicted. The assembly achieved a complete BUSCO score of 99.2% for 758 orthologous genes. Compared to seven other Fp strains, Fp DSM106835 exhibited the highest continuity with a cumulative size of 44.26 Mbp for the first ten scaffolds/contigs, surpassing the assemblies of all examined Fp strains. Our findings of the high-quality genome of Fp DSM106835 provide an important resource to investigate its genetics, biology and evolutionary history. This study also contributes to fulfill the gaps in fungal knowledge, particularly the genes/metabolites associated with pathogenicity during the plant-pathogen interaction responsible for SDS.
Similar content being viewed by others
Background & Summary
Date palm (Phoenix dactylifera) is considered as one of the most economically important fruit crops grown in arid lands of the Arabian Peninsula, the Middle East and North Africa. This evergreen tree is well-adapted to harsh desert conditions of long hot summers, little rainfall and low humidity. The United Arab Emirates (UAE) has the largest number of date palms in the world, and is considered among the top global exporters of dates1. On the other hand, date palm orchards in the UAE have recently been suffering from serious diseases caused by fungal pathogens2,3, including sudden death syndrome (SDS; also known as date palm wilt disease)4.
Although researchers have reported several Fusarium species that are associated with disease symptoms of SDS worldwide3,5,6,7, Fusarium oxysporum f.sp. cumini (Foc) DSM106834, F. proliferatum (Fp) DSM106835 and F. solani (Fs) DSM106836 are the causal agents of SDS on date palm in the UAE4. In North Africa, Bayoud is the most destructive fungal disease of date palm that is linked with F. oxysporum f.sp. albedinis (Foa)8,9. Fs was, however, found associated with declined date palm trees in Pakistan10. In the UAE, Fp was identified the main Fusarium spp. causing SDS in Saudi Arabia, Iraq, Jordan and Tunisia11,12,13,14.
The soil-borne filamentous fungus Fp is a plant pathogen that belongs to the family Nectiraceae from the division Ascomycota. Fp is part of the F. fujikuroi species complex (FFSC) that is composed of around 60 different phylogenetic species with phytopathological and clinical relevance15,16. As other Fusarium spp., Fp has the ability to produce the mycotoxin, fumonisin17,18. Fumonisins are carcinogenic, estrogenic and immune suppressive in mammals and may cause birth defects of the brain and spinal cord18,19. Other mycotoxins, such as beauvericin, enniatins and moniliformin, can also be produced by Fp and act as virulence factors and specific effectors to elicit resistance to SDS in date palm11,13,14.
Although SDS has been reported to negatively affect date palm plantations in the UAE and elsewhere, the genetic information of the causal agent is still meager. Therefore, we developed a whole genome sequencing of Fp DSM106835 using PacBio® to provide high throughput sequencing with highly accurate long HiFi reads. Here, we presented a highly contiguous and complete de novo genome assembly for Fp DSM106835, the main causal agent of SDS on date palm in the UAE, using PacBio HiFi long-reads and Omni-C data. The final genome is about 58.5 Mbp across 418 scaffolds, with a scaffold N50 of 4.4 Mbp and a Benchmarking Universal Single-Copy Orthologs (BUSCO)20 score of 99.2%. This genome adds a valuable resource for studying the evolutionarily relationships and elucidating the molecular mechanisms for host specificity to further improve our understanding of Fp DSM106835-date palm interaction.
Methods
Growth and culture maintenance of F. proliferatum DSM106835
The pathogen, Fp DSM106835, was previously isolated from date palm trees showing SDS symptoms from Al Wagan area in Al Ain, Abu Dhabi, UAE, grown and maintained in potato dextrose agar plates (PDA; Lab M Limited, Lancashire, UK) supplemented with 25 mg/L penicillin-streptomycin (Sigma-Aldrich Chemie GmbH, Taufkirchen, Germany) at 25°C4. Plates were subcultured every 14 days on PDA plates until pure Fp DSM106835 colonies were obtained. A flow scheme of the isolation and culturing of Fp DSM106835 can be found in Fig. 1.
DNA extraction and PacBio HiFi sequencing
High molecular weight (HMW) DNA was extracted by first scraping all visible fungal material from the Petri dish, which was then transferred to a 50-ml tube with 2-ml of autoclaved ddH2O, flash frozen to create a pellet of ~500 mg, and ground to become powder. In the ground sample, 10 ml of cetyltrimethyl ammonium bromide (CTAB) and 100 µl of β-mercaptoethanol (BME) were added and incubated at 68°C for 15 minutes. After incubation, 10 µl of protease and 1 µl of RNase were added to the sample and incubated at 60°C for 30 minutes. Phenol/chloroform/isoamyl-alcohol was used to extract DNA from the cell lysate, which was then centrifuged into a pellet. The formed pellet was resuspended in 200 µl Tris-EDTA buffer (TE buffer). DNA samples were first sequenced using the PacBio Sequel II sequencer at Dovetail Genomics (Scotts Valley, California, USA). This sequencing step was carried out by preparing PacBio SMRTbell libraries (∼20 kbp) using the SMRTbell Express Template Prep Kit 2.0 (PacBio, Menlo Park, CA), according to the manufacturer’s protocol.
Omni-C sequencing
Omni-C sequencing is a chromatin conformation capture technology that allows the investigation of the genome’s three-dimensional (3D) organisation. The Omni-C library was prepared using the Dovetail® Omni-C® Kit according to the manufacturer’s protocol. Briefly, the chromatin was fixed with disuccinimidyl glutarate (DSG) and formaldehyde in the nucleus. The crosslinked chromatin was in situ digested with DNaseI.
After digestion, chromatin fragments attached to Chromatin Capture Beads were released by lysing the cells with sodium dodecyl sulfate (SDS) buffer. The chromatin ends were repaired followed by ligation to a biotinylated bridge adapter. After proximity ligation, crosslinks were reversed and DNA was purified. The sequencing librararies using Illumina-compatible adaptors were generated. Biotin-containing fragments were isolated using streptavidin beads before PCR amplification. The library was sequenced on an Illumina HiSeq-X platform. A flow scheme of HMW DNA extraction, library preparations and genome assembly of Fp DSM106835 can be found in Fig. 1.
De novo genome assembly
The genome assembly was carried out by first using 26.9 Gbp of PacBio Circular Consensus Sequencing (CCS) reads as an input to the hifiasm assembler21 with default parameters to create the initial de novo assembly. Omni-C sequencing resulted in a paired-end set of raw reads, each 11,489,515 bp in length and GC content of 49% (Table 1). These reads, along with the de novo assembly, were used as input data for HiRise22, a software pipeline explicitly designed for using proximity ligation data to scaffold genome assemblies (Fig. 2a). Dovetail Omni-C library sequences were aligned to the draft input assembly using BWA23, and pairtools24 was used to remove the PCR duplicates from the assembly; followed by SAMtools25 to generate the final bam file. Quality control using the script get_qc.py part of the HiRise package found 88,132,543 (76.71%) of read pairs were mapped and 12,232,575 (10.65%) were unmapped. The HiRise pipeline was used to identify misassemblies, and to break and sort scaffolds (only those above the threshold) in accordance with the likelihood model used by HiRise. Omni-C contact maps were created from the output of HiRise using Juicer26, and the contact map was configured to identify Topologically Associated Domains and A/B genome compartments. The configured contact map was visualised using Juicebox27 (Fig. 2b). The final de novo assembly of 58,468,907 bp in length had an N50 value of 4,383,091. This assembly was used as a query to perform a BLASTN28 search against the National Center for Biotechnology Information (NCBI) nucleotide database29 as an input for blobtools230 to visualise the assembly and its taxonomic partitioning (Fig. 2c). The HiCanu31 assembler was also used to assemble the genome to compare and validate the hifiasm assembly. The completeness of the final assembly was assessed using BUSCO with fungi_odb10 lineage-specific profile32.
Transposable element analysis, gene prediction and annotation
The assembly of Fp DSM106835 was subjected to transposable element (TE) analysis using a customised repeat annotation pipeline. This pipeline incorporated multiple de novo TE discovery tools, including RepeatModeler33, HelitronScanner34, MITE Tracker35, SINEScan36, and RepeatMasker. In brief, RepeatModeler integrates RECON37, RepeatScout38, and LTRHavest/LTRretriver39. These tools obtained a comprehensive representation of TEs, leading to a relatively complete TE library. Subsequently, RepeatMasker was employed with this library to identify genome-wide TEs and mask all the repeats and tandem sequences. The resulting masked genome sequences were then subjected to de novo gene prediction and annotation using BRAKER 240. In the BRAKER 2 pipeline, Augustus41 was trained with protein sequences of orthologous genes in fungi genomes to help in gene prediction. The genome was then subjected to functional annotation and Gene Ontology (GO) analysis using Blast2GO42, and the prediction of secondary metabolites was performed using fungal-antiSMASH43.
Assessment of completeness and continuity of the genome assembly
For assembly continuity comparison, the genome sequences of seven Fp strains with gene annotations, ET1 (FJOF00000000)44, FFSC RH7 (JAJALB000000000)45, Fp_A8 (MRDB00000000)46, ITEM2341 (PKMI00000000)47, MPVP328 (PKMJ00000000)48, NRRL62905 (FCQG00000000)49, and R16 (PKMG00000000)50 were downloaded from the NCBI database. These strains were compared against Fp DSM106835 by comparing the sequence length of each assembly with the average scaffold length, and completeness analysis was performed by comparing the results of BUSCO analysis of each genome against fungi_odb10 lineage-specific profile.
Data Records
All sequence data, including raw HiFi long reads and Omni-C short reads, were deposited to the NCBI database under BioProject PRJEB64160, with accessions ERR1173347951 and ERR1173347852, respectively. The genome assembly is available through NCBI GenBank with the accession CAUHTQ00000000053. The genome annotation information was deposited in the Figshare database54.
Technical Validation
Evaluating the quality of the genome assembly
The PacBio sequencing produced 1,754,151 raw HiFi long reads with an average read length of 15,045.5 bp, resulting in 26.4 Gbp, mostly falling between 5,000–25,000 bp in length and approximately 560x coverage (Supplementary Fig. S1). By utilising the hifiasm and HiRise software, the assembly of HiFi reads with Omni-C reads generated 418 scaffolds, amounting to 58.47 Mbp. The N50 value was 4.38 Mbp. The largest 11 scaffolds had a combined size of 45.18 Mbp, which accounted for 77.3% of the entire genome (Table 1). Similar results were obtained when the assembly of HiCanu was compared to that using hifiasm (Supplementary Fig. S2). The assembly achieved a completeness rate of 99.2% for the 758 orthologous genes in fungi_odb10 using BUSCO, similar to the genome assembly of Fp strain Fp_A8 (99.3%; Table 1).
Genome annotation
A total of 3.96 Mbp of transposable repeat sequences were detected in the genome of Fp DSM106835, including retroelements (0.48 Mbp), DNA transposons (0.39 Mbp), rolling-circle replicates (Helitrons; 1.52 Mbp), and some unclassified repeats (1.56 Mbp), collectively constituting 6.76% of the total genome (Table 2; Fig. 3). Notably, the genome of Fp DSM106835 also included long terminal repeat (LTR) retroelements that belong to Gypsy superfamily. Heitron rolling-circle elements and unclassified elements accounted for a significant part of repeat sequences. The gene prediction using BRAKER245 resulted in 15,580 putative genes, of which 267 were TE and 15,313 were non-TE genes. We also detected 16,321 transcripts, where the average gene length was about 1,580 bp. After performing functional annotation on the predicted sequences, GO terms distribution for cellular components, molecular function, and biological processes was identified (Fig. 4a) with the highest number of annotations belonging to GO levels 3–7. The evidence code distribution was calculated, and mostly they received a hit from Inferred from Electronic Annotation (IEA) and Inferred from Biological aspect of Ancestor (IBA) sections (Fig. 4b). Similarly, the enzyme code (EC) classification was carried out, from which most of the sequences were found to be either transferases or oxidoreductases (Fig. 4c).
The number of secondary metabolite biosynthesis gene clusters was also identified (Fig. 4d). In general, various gene clusters ranging from clinically relevant fumonisins, virulence-related ACT-Toxin II, and phytotoxic destruxin A were present in the genome. Gene clusters of secondary metabolites were found to belong to the biosynthesis of fusaric acid, oxyjavanicin, gibberellin, bikaverin, ACT-Toxin II, koraiol, Fujikurin A, α-acorenol, NG-391 and Gibepyrone A (Table 3).
Genome continuity and completeness analysis
The continuity analysis revealed that Fp DSM106835 exhibited the highest continuity among the seven Fp strains collected from NCBI. The cumulative size of the first 10 scaffolds/contigs was 44.26 Mbp, which surpassed the assemblies of all other Fp strains ranging from 12.19 Mbp in Fp Fp_A8) to 36.19 Mbp in Fp ET1 (Fig. 5a). The same genomes were compared for their completeness using BUSCO19, and Fp DSM106835 achieved a completeness rate of 99.2% for the 758 orthologous genes in the Fungi_odb10 database, which is comparable to Fp Fp_A8 (99.3%; Fig. 5b).
Code availability
This work did not utilise a custom script. Data processing was carried out using the protocols and manuals of the relevant bioinformatics software.
References
FAO. World Food and Agriculture – Statistical Yearbook 2021. https://doi.org/10.4060/cb4477en (FAO, 2021).
Saeed, E. E. et al. Chemical control of dieback disease on date palm caused by the fungal pathogen, Thielaviopsis punctulata, in United Arab Emirates. Plant Dis. 100, 2370–2376 (2016).
Alhammadi, M. S., Al-Shariqi, R., Maharachchikumbura, S. & Al-Sadi, A. M. Molecular identification of fungal pathogens associated with date palm root diseases in the United Arab Emirates. J. Plant Pathol. 99, 1–7 (2018).
Alwahshi, K. J. et al. Molecular identification and disease management of date palm sudden decline syndrome in the United Arab Emirates. Int. J. Mol. Sci. 20, 923 (2019).
Armengol, J. et al. Identification, incidence and characterization of Fusarium proliferatum on ornamental palms in Spain. Eur. J. Plant Pathol. 112, 123–131 (2005).
Mansoori, B. & Kord, H. Yellow death: A disease of date palm in Iran caused by Fusarium solani. J. Phytopathol. 154, 125–127 (2006).
Al-Otibi, F., Al-Zahrani, R. M. & Marraiki, N. Biodegradation of selected hydrocarbons by Fusarium species isolated from contaminated soil samples in Riyadh, Saudi Arabia. J. Fungi 9, 216 (2023).
Tantaoui, A., Ouinten, M., Geiger, J. P. & Fernandez, D. Characterization of a single clonal lineage of Fusarium oxysporum f.sp. albedinis causing Bayoud disease of date palm in Morocco. Phytopathology 86, 787–792 (1996).
El Hassni, M. et al. Biological control of bayoud disease in date palm: selection of microorganisms inhibiting the causal agent and inducing defense reactions. Environ. Exp. Bot. 59, 224–234 (2007).
Maitlo, W. A., Markhand, G. S., Abul-Soad, A. A., Lodhi, A. M. & Jatoi, M. A. Chemcial control of sudden decline disease of date palm (Phoenix dactylifera L.) in Sindh, Pakistan. Pak. J. Bot. 45, 7–11 (2013).
Abdalla, M. Y., Al-Rokibah, A., Moretti, A. & Mulè, G. Pathogenicity of toxigenic Fusarium proliferatum from date palm in Saudi Arabia. Plant Dis. 84, 321–324 (2000).
Hameed, M. A. Inflorescence rot disease of date palm caused by Fusarium proliferatum in Southern Iraq. Afr. J. Biotechnol. 11, 8616–8621 (2012).
Alananbeh, K., Tahat, M. M. & Al-Taweel, H. First report of Fusarium proliferatum on date palm (Phoenix dactylifera L.) in Jordan. Plant Dis. https://doi.org/10.1094/PDIS-06-20-1219- (2021).
Rabaaoui, A. et al. Phylogeny and mycotoxin profile of pathogenic Fusarium species isolated from sudden decline syndrome and leaf wilt symptoms on date palms (Phoenix dactylifera) in Tunisia. Toxins 13, 463 (2021).
Niehaus, E.-M. et al. Comparative “omics” of the Fusarium fujikuroi species complex highlights differences in genetic potential and metabolite synthesis. Genome Biol. Evol. 8, 3574–3599 (2016).
Yilmaz, N. et al. Redefining species limits in the Fusarium fujikuroi species complex. Persoonia - Mol. Phylogeny Evol. Fungi 46, 129–162 (2021).
Rheeder, J. P., Marasas, W. F. O. & Vismer, H. F. Production of fumonisin analogs by Fusarium species. Appl. Environ. Microbiol. 68, 2101–2105 (2002).
Kamle, M. et al. Fumonisins: impact on agriculture, food, and human health and their management strategies. Toxins 11, 328 (2019).
Chen, J. et al. Fumonisin B1: Mechanisms of toxicity and biological detoxification progress in animals. Food Chem. Toxicol. 149, 111977 (2021).
Simão, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V. & Zdobnov, E. M. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31, 3210–3212 (2015).
Cheng, H., Concepcion, G. T., Feng, X., Zhang, H. & Li, H. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat. Methods 18, 170–175 (2021).
Putnam, N. H. et al. Chromosome-scale shotgun assembly using an in vitro method for long-range linkage. Genome Res. 26, 342–350 (2016).
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
Open2C et al. Pairtools: from sequencing data to chromosome contacts. 2023.02.13.528389 Preprint at https://doi.org/10.1101/2023.02.13.528389 (2023).
Danecek, P. et al. Twelve years of SAMtools and BCFtools. GigaScience 10, giab008 (2021).
Durand, N. C. et al. Juicer provides a one-click system for analyzing loop-resolution Hi-C experiments. Cell Syst. 3, 95–98 (2016).
Durand, N. C. et al. Juicebox provides a visualization system for Hi-C contact maps with unlimited zoom. Cell Syst. 3, 99–101 (2016).
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990).
Sayers, E. W. et al. Database resources of the national center for biotechnology information. Nucleic Acids Res. 50, D20–D26 (2022).
Challis, R., Richards, E., Rajan, J., Cochrane, G. & Blaxter, M. BlobToolKit – Interactive quality assessment of genome assemblies. G3-Genes Genom. Genet. 10, 1361–1374 (2020).
Nurk, S. et al. HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads. Genome Res. 30, 1291–1305 (2020).
Kriventseva, E. V. et al. OrthoDB v10: sampling the diversity of animal, plant, fungal, protist, bacterial and viral genomes for evolutionary and functional annotations of orthologs. Nucleic Acids Res. 47, D807–D811 (2019).
Flynn, J. M. et al. RepeatModeler2 for automated genomic discovery of transposable element families. Proc. Natl. Acad. Sci. 117, 9451–9457 (2020).
Xiong, W., He, L., Lai, J., Dooner, H. K. & Du, C. HelitronScanner uncovers a large overlooked cache of Helitron transposons in many plant genomes. Proc. Natl. Acad. Sci. 111, 10263–10268 (2014).
Crescente, J. M., Zavallo, D., Helguera, M. & Vanzetti, L. S. MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes. BMC Bioinformatics 19, 348 (2018).
Mao, H. & Wang, H. SINE_scan: an efficient tool to discover short interspersed nuclear elements (SINEs) in large-scale genomic datasets. Bioinformatics 33, 743–745 (2017).
Bao, Z. & Eddy, S. R. Automated de novo identification of repeat sequence families in sequenced genomes. Genome Res. 12, 1269–1276 (2002).
Price, A. L., Jones, N. C. & Pevzner, P. A. De novo identification of repeat families in large genomes. Bioinforma. Oxf. Engl. 21(Suppl 1), i351–358 (2005).
Ellinghaus, D., Kurtz, S. & Willhoeft, U. LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons. BMC Bioinformatics 9, 18 (2008).
Brůna, T., Hoff, K. J., Lomsadze, A., Stanke, M. & Borodovsky, M. BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database. NAR Genomics Bioinforma. 3, lqaa108 (2021).
Stanke, M. et al. AUGUSTUS: ab initio prediction of alternative transcripts. Nucleic Acids Res. 34, W435–W439 (2006).
Götz, S. et al. High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Res. 36, 3420–3435 (2008).
Blin, K. et al. antiSMASH 6.0: improving cluster detection and comparison capabilities. Nucleic Acids Res. 49, W29–W35 (2021).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:FJOF00000000.1 (2016).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:JAJALB000000000.1 (2022).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:MRDB00000000.1 (2018).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:PKMI00000000.1 (2018).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:PKMJ00000000.1 (2021).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:FCQG00000000.1 (2016).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:PKMG00000000.1 (2021).
NCBI Sequence Reads Archive, https://identifiers.org/ncbi/insdc.sra:ERR11733479 (2023).
NCBI Sequence Reads Archive, https://identifiers.org/ncbi/insdc.sra:ERR11733478 (2023).
NCBI GenBank, https://identifiers.org/ncbi/nucleotide:CAUHTQ000000000 (2023).
Purayil, G. P., Almarzooqi, A. Y., El-Tarabily, K. A., You, F. M. & AbuQamar, S. F. Fully resolved assembly of Fusarium proliferatum DSM106835 genome., figshare, https://doi.org/10.6084/m9.figshare.23731314 (2023).
Acknowledgements
We would like to express our gratitude to Dr. C. Zheng for her contribution in preparing some of the figures. This work is supported by Abu Dhabi Education and Knowledge (Grant #: 21S105) to K. El-Tarabily, and Khalifa Center for Genetic Engineering and Biotechnology-UAEU (Grant #: 31R286) to S. AbuQamar.
Author information
Authors and Affiliations
Contributions
G. Purayil: data curation, methodology, software, and writing – original draft; A. Almarzooqi: methodology, review, and editing; K. El-Tarabily: conceptualization, resources, and supervision; F. You: data curation, methodology, software, and writing – original draft; S. AbuQamar: conceptualization, data curation, writing – review, editing, and supervision.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Purayil, G.P., Almarzooqi, A.Y., El-Tarabily, K.A. et al. Fully resolved assembly of Fusarium proliferatum DSM106835 genome. Sci Data 10, 705 (2023). https://doi.org/10.1038/s41597-023-02610-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41597-023-02610-4
This article is cited by
-
Beyond NGS data sharing for plant ecological resilience and improvement of agronomic traits
Scientific Data (2024)
-
A high-quality genome assembly and annotation of Thielaviopsis punctulata DSM102798
Scientific Data (2024)
-
Whole-genome sequencing of Fusarium spp. causing sugarcane root rot on both chewing cane and sugar-making cane
Stress Biology (2024)