This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Alastruey-Izquierdo A., Alcazar-Fuoli L., Cuenca-Estrella M.: Antifungal susceptibility profile of cryptic species of Aspergillus. Mycopathologia, 178, 427–433 (2014)Alastruey-IzquierdoA.Alcazar-FuoliL.Cuenca-EstrellaM.:Antifungal susceptibility profile of cryptic species of Aspergillus.,178,427–433(2014)Search in Google Scholar
Amselem J. & Fournier E. et al.: Genomic analysis of the necrotrophic fungal pathogens Sclerotinia sclerotiorum and Botrytis cinerea. PLoS Genet. 7, e1002230 (2011)AmselemJ. & FournierE..:Genomic analysis of the necrotrophic fungal pathogens Sclerotinia sclerotiorum and Botrytis cinerea..7, e1002230(2011)Search in Google Scholar
Basenko E. & Hertz-Fowler C. et al.: FungiDB: an integrated bioinformatic resource for fungi and oomycetes. J. Fungi, 4, 39 (2018)BasenkoE. & Hertz-FowlerC..:FungiDB: an integrated bioinformatic resource for fungi and oomycetes.,4,39(2018)Search in Google Scholar
Bellemain E., Carlsen T., Brochmann C., Coissac E., Taberlet P., Kauserud H.: ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases. BMC Microbiol. 10, 189 (2010)BellemainE.CarlsenT.BrochmannC.CoissacE.TaberletP.KauserudH.:ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases..10,189(2010)Search in Google Scholar
Benson D.A., Cavanaugh M., Clark K., Karsch-Mizrachi I., Ostell J., Pruitt K.D., Sayers E.W.: GenBank. Nucleic Acids Res. 46, D41–47 (2017)BensonD.A.CavanaughM.ClarkK.Karsch-MizrachiI.OstellJ.PruittK.D.SayersE.W.:GenBank..46, D41–47(2017)Search in Google Scholar
Bernardi G., Wiley E.O., Mansour H., Miller M.R., Orti G., Haussler D., O’Brien S.J., Ryder O.A., Venkatesh B.: The fishes of genome 10K. Mar. Genom. 7, 3–6 (2012)BernardiG.WileyE.O.MansourH.MillerM.R.OrtiG.HausslerD.O’BrienS.J.RyderO.A.VenkateshB.:The fishes of genome 10K..7,3–6(2012)Search in Google Scholar
Brown G.D., Denning D.W., Gow N.A.R., Levitz S.M., Netea M.G., White T.C.: Hidden killers: human fungal infections. Sci. Transl. Med. 4, 165rv13–165rv13 (2012)BrownG.D.DenningD.W.GowN.A.R.LevitzS.M.NeteaM.G.WhiteT.C.:Hidden killers: human fungal infections..4, 165rv13–165rv13(2012)Search in Google Scholar
Camacho C., Coulouris G., Avagyan V., Ma N., Papadopoulos J., Bealer K., Madden T.L.: BLAST+: architecture and applications. BMC Bioinform. 10, 421 (2009)CamachoC.CoulourisG.AvagyanV.MaN.PapadopoulosJ.BealerK.MaddenT.L.:BLAST+: architecture and applications..10,421(2009)Search in Google Scholar
https://www.cdc.gov/fungal/diseases/index.html CDC (2019): Types of Fungal Diseases. Centers for Disease Control and Prevention, (12.09.2023)https://www.cdc.gov/fungal/diseases/index.htmlCDC(2019):.Centers for Disease Control and Prevention, (12.09.2023)Search in Google Scholar
Chen H., King R., Smith D. Bayon C., Ashfield T., Torriani S., Kanyuka K., Hammond-Kosack K., Bieri S., Rudd J.: Combined pangenomics and transcriptomics reveals core and redundant virulence processes in a rapidly evolving fungal plant pathogen. BMC Biol, 21, 24 (2023)ChenH.KingR.SmithD.BayonC.AshfieldT.TorrianiS.KanyukaK.Hammond-KosackK.BieriS.RuddJ.:Combined pangenomics and transcriptomics reveals core and redundant virulence processes in a rapidly evolving fungal plant pathogen.,21,24(2023)Search in Google Scholar
Chybowska A.D., Childers D.S., Farrer R.A.: Nine things genomics can tell us about Candida auris. Front. Genet. 11, 351 (2020)ChybowskaA.D.ChildersD.S.FarrerR.A.:Nine things genomics can tell us about Candida auris..11,351(2020)Search in Google Scholar
Corley R.H.V. & Tinker P.B.: Vegetative propagation and biotechnology (in) The oil palm, Ed. R.H.V. Corley, P.B. Tinker, Wiley-Blackwell, 201–215 (2003)CorleyR.H.V. & TinkerP.B.:, Ed.CorleyR.H.V.TinkerP.B.,Wiley-Blackwell,201–215(2003)Search in Google Scholar
Davey J.W., Hohenlohe P.A., Etter P.D., Boone J.Q., Catchen J.M., Blaxter M.L.: Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nat. Rev. Genet. 12, 499–510 (2011)DaveyJ.W.HohenloheP.A.EtterP.D.BooneJ.Q.CatchenJ.M.BlaxterM.L.:Genome-wide genetic marker discovery and genotyping using next-generation sequencing..12,499–510(2011)Search in Google Scholar
de Sena Brandine G., Smith A.D.: Falco: high-speed FastQC emulation for quality control of sequencing data. F1000Research, 8, 1874 (2021)de Sena BrandineG.SmithA.D.:Falco: high-speed FastQC emulation for quality control of sequencing data.,8,1874(2021)Search in Google Scholar
Dean R. & Foster G.D. et al.: The top 10 fungal pathogens in molecular plant pathology. Mol. Plant Pathol. 13, 414–430 (2012)DeanR. & FosterG.D..:The top 10 fungal pathogens in molecular plant pathology..13,414–430(2012)Search in Google Scholar
Dean R.A. & Birren B.W. et al.: The genome sequence of the rice blast fungus Magnaporthe grisea. Nature, 434, 980–986 (2005)DeanR.A. & BirrenB.W..:The genome sequence of the rice blast fungus Magnaporthe grisea.,434,980–986(2005)Search in Google Scholar
Demir E., Babur O., Dogrusoz U., Gursoy A., Nisanci G., Cetin-Atalay R., Orzturk M.: Patika: an integrated visual environment for collaborative construction and analysis of cellular pathways. Bioinformatics, 18, 996–1003 (2002)DemirE.BaburO.DogrusozU.GursoyA.NisanciG.Cetin-AtalayR.OrzturkM.:Patika: an integrated visual environment for collaborative construction and analysis of cellular pathways.,18,996–1003(2002)Search in Google Scholar
Dickman M.B., de Figueiredo P.: Comparative pathobiology of fungal pathogens of plants and animals. PLoS Pathog. 7, e1002324 (2011)DickmanM.B.de FigueiredoP.:Comparative pathobiology of fungal pathogens of plants and animals..7, e1002324(2011)Search in Google Scholar
dos Santos R.A.C., Steenwyk J.L., Rivero-Menendez O., Mead M.E., Silva L.P., Bastos R.W., Alastruey-Izquierdo A., Goldman G.H., Rokas A.: Genomic and phenotypic heterogeneity of clinical isolates of the human pathogens Aspergillus fumigatus, Aspergillus lentulus, and Aspergillus fumigatiaffinis. Front. Genet. 11, 459 (2020)dos SantosR.A.C.SteenwykJ.L.Rivero-MenendezO.MeadM.E.SilvaL.P.BastosR.W.Alastruey-IzquierdoA.GoldmanG.H.RokasA.:Genomic and phenotypic heterogeneity of clinical isolates of the human pathogens Aspergillus fumigatus, Aspergillus lentulus, and Aspergillus fumigatiaffinis..11,459(2020)Search in Google Scholar
Duplessis S. & Chiu R. et al.: Obligate biotrophy features unraveled by the genomic analysis of rust fungi. Proc. Natl. Acad. Sci. 108, 9166–71 (2011)DuplessisS. & ChiuR..:Obligate biotrophy features unraveled by the genomic analysis of rust fungi..108,9166–71(2011)Search in Google Scholar
Edgar R.C.: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004)EdgarR.C.:MUSCLE: multiple sequence alignment with high accuracy and high throughput..32,1792–1797(2004)Search in Google Scholar
Fukuda A., Kodama Y., Mashima J., Fujisawa T., Ogasawara O.: DDBJ update: streamlining submission and access of human data. Nucleic Acids Res. 49, D71–75 (2020)FukudaA.KodamaY.MashimaJ.FujisawaT.OgasawaraO.:DDBJ update: streamlining submission and access of human data..49, D71–75(2020)Search in Google Scholar
https://www.broadinstitute.org/fungal-genome-initiative Broad Institute (2008): Fungal Genomics, (25.09.2023)https://www.broadinstitute.org/fungal-genome-initiativeBroad Institute(2008):, (25.09.2023)Search in Google Scholar
Guirao-Abad J.P., Weichert M., Luengo-Gil G., Sze Wah Wong S., Aimanianda V., Grisham C., Malev N., Reddy S., Woollett L., Askew D.S.: Pleiotropic effects of the P5-type ATPase SpfA on stress response networks contribute to virulence in the pathogenic mold Aspergillus fumigatus. MBio, 12, 10–1123 (2021)Guirao-AbadJ.P.WeichertM.Luengo-GilG.Sze Wah WongS.AimaniandaV.GrishamC.MalevN.ReddyS.WoollettL.AskewD.S.:Pleiotropic effects of the P5-type ATPase SpfA on stress response networks contribute to virulence in the pathogenic mold Aspergillus fumigatus.,12,10–1123(2021)Search in Google Scholar
Gupta A.K., Jain H.C., Lynde C.W., MacDonald P., Cooper E.A., Summerbell R.C.: Prevalence and epidemiology of onychomycosis in patients visiting physicians’ offices: a multicenter Canadian survey of 15,000 patients. J. Am. Acad. Dermatol. 43, 244–248 (2000)GuptaA.K.JainH.C.LyndeC.W.MacDonaldP.CooperE.A.SummerbellR.C.:Prevalence and epidemiology of onychomycosis in patients visiting physicians’ offices: a multicenter Canadian survey of 15,000 patients..43,244–248(2000)Search in Google Scholar
Hall B.G.: Building phylogenetic trees from molecular data with MEGA. Mol Biol Evol30(5), 1229–1235 (2013)HallB.G.:Building phylogenetic trees from molecular data with MEGA.30(5),1229–1235(2013)Search in Google Scholar
Hamer J.E., Holden D.W.: Linking approaches in the study of fungal pathogenesis: a commentary. Fungal. Genet. Biol. 21, 11–16 (1997)HamerJ.E.HoldenD.W.:Linking approaches in the study of fungal pathogenesis: a commentary..21,11–16(1997)Search in Google Scholar
Hariharan G., Prasannath K.: Recent advances in molecular diagnostics of fungal plant pathogens: a mini review. Front. Cell. Infect. Microbiol. 10, 600234 (2021)HariharanG.PrasannathK.:Recent advances in molecular diagnostics of fungal plant pathogens: a mini review..10,600234(2021)Search in Google Scholar
Heitman J.: Microbial pathogens in the fungal kingdom. Fungal Biol. Rev. 25, 48–60 (2011)HeitmanJ.:Microbial pathogens in the fungal kingdom..25,48–60(2011)Search in Google Scholar
Hingamp P., van den Broek A.E., Stoesser G., Baker W.: The EMBL nucleotide sequence database: contributing and accessing data. Mol. Biotechnol. 12, 255–268 (1999)HingampP.van den BroekA.E.StoesserG.BakerW.:The EMBL nucleotide sequence database: contributing and accessing data..12,255–268(1999)Search in Google Scholar
Howe K.L. & Flicek P. et al.: Ensembl 2021. Nucleic Acids Res. 49, D884–D891 (2020)HoweK.L. & FlicekP..:Ensembl 2021..49, D884–D891(2020)Search in Google Scholar
Hu Z.: Using VisANT to analyze networks. Curr. Protoc. Bioinf. 45, 8–8 (2014)HuZ.:Using VisANT to analyze networks..45,8–8(2014)Search in Google Scholar
Hushiarian R., Yusof N.A., Dutse S.W: Detection and control of Ganoderma boninense: Strategies and perspectives. Springer-Plus, 2, 555 (2013)HushiarianR.YusofN.A.DutseS.W:Detection and control of Ganoderma boninense: Strategies and perspectives.,2,555(2013)Search in Google Scholar
Jain A., Singhal N., Kumar M.: AFRbase: a database of protein mutations responsible for antifungal resistance. Bioinformatics, 39, 11 (2023)JainA.SinghalN.KumarM.:AFRbase: a database of protein mutations responsible for antifungal resistance.,39,11(2023)Search in Google Scholar
http://www.glycopedia.eu/IMG/pdf/the_plant_cell_walls.pdf Joseleau J.P., Pérez S. (2016) The Plant Cell Walls: complex polysaccharide nano-composites, (13.09.2023)http://www.glycopedia.eu/IMG/pdf/the_plant_cell_walls.pdfJoseleauJ.P.PérezS.(2016), (13.09.2023)Search in Google Scholar
Kaczmarek A.M., King K.M., West J.S., Stevens M., Sparkes D., Dickinson M.J.: A loop-mediated isothermal amplification (LAMP) assay for rapid and specific detection of airborne inoculum of Uromyces betae (Sugar Beet Rust). Plant Dis. 103, 417–421 (2019)KaczmarekA.M.KingK.M.WestJ.S.StevensM.SparkesD.DickinsonM.J.:A loop-mediated isothermal amplification (LAMP) assay for rapid and specific detection of airborne inoculum of Uromyces betae (Sugar Beet Rust)..103,417–421(2019)Search in Google Scholar
Kämper J. & Birren B.W. et al.: Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis. Nature, 444, 97–101 (2006)KämperJ. & BirrenB.W..:Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis.,444,97–101(2006)Search in Google Scholar
Katoh K.: MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 30, 3059–3066 (2002)KatohK.:MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform..30,3059–3066(2002)Search in Google Scholar
King R., Brown N.A., Urban M., Hammond-Kosack K.E.: Intergenome comparison of the Quorn fungus Fusarium venenatum and the closely related plant infecting pathogen Fusarium graminearum. BMC Genom. 19, 1–19 (2018)KingR.BrownN.A.UrbanM.Hammond-KosackK.E.:Intergenome comparison of the Quorn fungus Fusarium venenatum and the closely related plant infecting pathogen Fusarium graminearum..19,1–19(2018)Search in Google Scholar
Koepfli K.P., Paten B., O’Brien S.J.: The genome 10K project: a way forward. Annu. Rev. Anim. Biosci. 3, 57–111 (2015)KoepfliK.P.PatenB.O’BrienS.J.:The genome 10K project: a way forward..3,57–111(2015)Search in Google Scholar
Kozel T.R., Wickes B.: Fungal diagnostics. Cold Spring Harbor Perspect. Med. 4(4), a019299 (2014)KozelT.R.WickesB.:Fungal diagnostics..4(4), a019299(2014)Search in Google Scholar
Lombard V., Golaconda Ramulu H, Drula E., Coutinho P.M., Henrissat B.: The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic Acids Res. 42, D490–D495 (2013)LombardV.Golaconda RamuluHDrulaE.CoutinhoP.M.HenrissatB.:The carbohydrate-active enzymes database (CAZy) in 2013..42, D490–D495(2013)Search in Google Scholar
Lu T., Yao B., Zhang C.: DFVF: database of fungal virulence factors. Database, 2012, bas032 (2012)LuT.YaoB.ZhangC.:DFVF: database of fungal virulence factors.,2012, bas032(2012)Search in Google Scholar
Dieckmann M.A., Beyvers S., Beyvers S., Nkouamedjo-Fankep R.C., Hanel P.H., Jelonek L., Blom J., Goesmann A.: EDGAR3.0: comparative genomics and phylogenomics on a scalable infrastructure. Nucleic Acids Res. 49, W185–W192 (2021)DieckmannM.A.BeyversS.BeyversS.Nkouamedjo-FankepR.C.HanelP.H.JelonekL.BlomJ.GoesmannA.:EDGAR3.0: comparative genomics and phylogenomics on a scalable infrastructure..49, W185–W192(2021)Search in Google Scholar
Moran G.P., Coleman D.C., Sullivan D.J.: Comparative genomics and the evolution of pathogenicity in human pathogenic fungi. Eukaryotic Cell, 10, 34–42 (2011)MoranG.P.ColemanD.C.SullivanD.J.:Comparative genomics and the evolution of pathogenicity in human pathogenic fungi.,10,34–42(2011)Search in Google Scholar
Nash A., Sewell T., Farrer R.A., Abdolrasouli A., Shelton J.M.G., Fisher M.C. & Rhodes J.: MARDy: Mycology Antifungal Resistance Database. Bioinformatics, 34, 3233–3234 (2018)NashA.SewellT.FarrerR.A.AbdolrasouliA.SheltonJ.M.G.FisherM.C. & RhodesJ.:MARDy: Mycology Antifungal Resistance Database.,34,3233–3234(2018)Search in Google Scholar
Okonechnikov K., Golosova O., Fursov M.: Unipro UGENE: a unified bioinformatics toolkit. Bioinformatics, 28, 1166–1167 (2012)OkonechnikovK.GolosovaO.FursovM.:Unipro UGENE: a unified bioinformatics toolkit.,28,1166–1167(2012)Search in Google Scholar
Nikitin, A., Egorov, S., Daraselia, N., & Mazo, I. (2003). Pathway studio--the analysis and navigation of molecular networks. Bioinformatics (Oxford, England), 19(16), 2155–2157. https://doi.org/10.1093/bioinformatics/btg290NikitinA.EgorovS.DaraseliaN. & MazoI.(2003).Pathway studio--the analysis and navigation of molecular networks.,19(16),2155–2157. https://doi.org/10.1093/bioinformatics/btg290Open DOISearch in Google Scholar
Pierre M.J. & Ksenia V.K.: Distinct genomic context predict gene presence-absence variation in different pathotypes of Magnaporthe oryzae. Genetics, iyae012 (2024). Advanced online ublication.PierreM.J. & KseniaV.K.:Distinct genomic context predict gene presence-absence variation in different pathotypes of Magnaporthe oryzae., iyae012(2024). Advanced online ublication.Search in Google Scholar
Prakash H., Rudramurthy S.M., Gandham P.S., Ghosh A.K., Kumar M.M., Badapanda C., Chakrabarti A.: Apophysomyces variabilis: draft genome sequence and comparison of predictive virulence determinants with other medically important Mucorales. BMC Genom. 18, 1–13 (2017)PrakashH.RudramurthyS.M.GandhamP.S.GhoshA.K.KumarM.M.BadapandaC.ChakrabartiA.:Apophysomyces variabilis: draft genome sequence and comparison of predictive virulence determinants with other medically important Mucorales..18,1–13(2017)Search in Google Scholar
Ramzi A.B., Che Me M.L., Ruslan U.S., Baharum S.N., Nor Muhammad N.A.: Insight into plant cell wall degradation and pathogenesis of Ganoderma boninense via comparative genome analysis. PeerJ, 7, e8065 (2019)RamziA.B.Che MeM.L.RuslanU.S.BaharumS.N.Nor MuhammadN.A.:Insight into plant cell wall degradation and pathogenesis of Ganoderma boninense via comparative genome analysis.,7, e8065(2019)Search in Google Scholar
Retief J.D.: Phylogenetic analysis using PHYLIP. Bioinf. Method. Protoc. 243–258 (2000)RetiefJ.D.:Phylogenetic analysis using PHYLIP..243–258(2000)Search in Google Scholar
Sexton A.C., Howlett B.J.: Parallels in fungal pathogenesis on plant and animal hosts. Eukaryotic Cell, 5, 1941–1949 (2019)SextonA.C.HowlettB.J.:Parallels in fungal pathogenesis on plant and animal hosts.,5,1941–1949(2019)Search in Google Scholar
Seyedmousavi S., Guillot J., Arné P., de Hoog G.S., Mouton J.W., Melchers W.J.G., Verweij P.E.: Aspergillus and aspergilloses in wild and domestic animals: a global health concern with parallels to human disease. Med. Mycol. 53, 765–797 (2015)SeyedmousaviS.GuillotJ.ArnéP.de HoogG.S.MoutonJ.W.MelchersW.J.G.VerweijP.E.:Aspergillus and aspergilloses in wild and domestic animals: a global health concern with parallels to human disease..53,765–797(2015)Search in Google Scholar
Shannon P.: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome. Res. 13, 2498–2504 (2003)ShannonP.:Cytoscape: a software environment for integrated models of biomolecular interaction networks..13,2498–2504(2003)Search in Google Scholar
Sharon A., Shlezinger N.: Fungi infecting plants and animals: killers, non-killers, and cell death. PLoS Pathog. 9, e1003517 (2013)SharonA.ShlezingerN.:Fungi infecting plants and animals: killers, non-killers, and cell death..9, e1003517(2013)Search in Google Scholar
Shi-Kunne X., van Kooten M., Depotter J.R.L., Thomma B.P., Seidl M.F.: The genome of the fungal pathogen Verticillium dahliae reveals extensive bacterial to fungal gene transfer. Genome Biol. Evol. 11, 855–868 (2019)Shi-KunneX.van KootenM.DepotterJ.R.L.ThommaB.P.SeidlM.F.:The genome of the fungal pathogen Verticillium dahliae reveals extensive bacterial to fungal gene transfer..11,855–868(2019)Search in Google Scholar
Thompson J.D., Gibson T.J., Higgins D.G.: Multiple sequence alignment using ClustalW and ClustalX. Current Protoc. Bioinf. 2–3 (2002)ThompsonJ.D.GibsonT.J.HigginsD.G.:Multiple sequence alignment using ClustalW and ClustalX..2–3(2002)Search in Google Scholar
Tissot F., Lamoth F., Hauser P.M., Orasch C., Flückiger U., Siegemund M., Zimmerli S., Calandra T., Bille J., Eggimann P., Marchetti O.: Fungal Infection Network of Switzerland (FUNGINOS). β-glucan antigenemia anticipates diagnosis of blood culture-negative intraabdominal candidiasis. Am J Respir Crit Care Med. 188, 1100–9 (2013)TissotF.LamothF.HauserP.M.OraschC.FlückigerU.SiegemundM.ZimmerliS.CalandraT.BilleJ.EggimannP.MarchettiO.:Fungal Infection Network of Switzerland (FUNGINOS). β-glucan antigenemia anticipates diagnosis of blood culture-negative intraabdominal candidiasis..188,1100–9(2013)Search in Google Scholar
Urban M. & Hammond-Kosack K.E. et al.: PHI-base: the pathogen-host interactions database. Nucleic Acid Res. 48, D613–D620 (2020)UrbanM. & Hammond-KosackK.E..:PHI-base: the pathogen-host interactions database..48, D613–D620(2020)Search in Google Scholar
van Dam P., de Sain M., Ter Horst A., van der Gragt M., Rep M.: Use of comparative genomics-based markers for discrimination of host specificity in Fusarium oxysporum. Appl. Environ. Microbiol. 84, e01868–17 (2018)van DamP.de SainM.Ter HorstA.van der GragtM.RepM.:Use of comparative genomics-based markers for discrimination of host specificity in Fusarium oxysporum..84, e01868–17(2018)Search in Google Scholar
van der Does H.C., Rep M.: Virulence genes and the evolution of host specificity in plant-pathogenic fungi. Mol. Plant-Microbe Interact. 20, 1175–1182 (2007)van der DoesH.C.RepM.:Virulence genes and the evolution of host specificity in plant-pathogenic fungi..20,1175–1182(2007)Search in Google Scholar
Walker T.S., Bais H.P., Déziel E., Schweizer H.P., Rahme L.G., Fall R., Vivanco J.M.: Pseudomonas aeruginosa-plant root interactions. Pathogenicity, biofilm formation, and root exudation. Plant Physiol. 134, 320–331 (2003)WalkerT.S.BaisH.P.DézielE.SchweizerH.P.RahmeL.G.FallR.VivancoJ.M.:Pseudomonas aeruginosa-plant root interactions. Pathogenicity, biofilm formation, and root exudation..134,320–331(2003)Search in Google Scholar
Weber M., Schaer J., Walther G., Kaerger K., Steinmann J., Rath P.M., Spiess B., Buchheidt D., Hamprecht A., & Kurzai O.: FunResDB-A web resource for genotypic susceptibility testing of Aspergillus fumigatus. Medical mycology, 56, 117–120 (2018)WeberM.SchaerJ.WaltherG.KaergerK.SteinmannJ.RathP.M.SpiessB.BuchheidtD.HamprechtA. & KurzaiO.:FunResDB-A web resource for genotypic susceptibility testing of Aspergillus fumigatus.,56,117–120(2018)Search in Google Scholar
Wei L., Liu Y., Dubchak I., Shon J., Park J.: Comparative genomics approaches to study organism similarities and differences. J. Biomed. Inf. 35, 142–150 (2002)WeiL.LiuY.DubchakI.ShonJ.ParkJ.:Comparative genomics approaches to study organism similarities and differences..35,142–150(2002)Search in Google Scholar
Fang W., Wu J., Cheng M., Zhu X., Du M., Chen C., Liao W., Zhi K., Pan W.: Diagnosis of invasive fungal infections: challenges and recent developments. J Biomed Sci. 30, 42 (2023)FangW.WuJ.ChengM.ZhuX.DuM.ChenC.LiaoW.ZhiK.PanW.:Diagnosis of invasive fungal infections: challenges and recent developments..30,42(2023)Search in Google Scholar
https://www.who.int/publications/i/item/9789240060241 World Health Organization (2022): WHO fungal priority pathogens list to guide research and public health action (11.02.2024)https://www.who.int/publications/i/item/9789240060241World Health Organization(2022):(11.02.2024)Search in Google Scholar
Yandell M., Ence D.: A beginner’s guide to eukaryotic genome annotation. Nat. Rev. Genet. 13, 329–342 (2012)YandellM.EnceD.:A beginner’s guide to eukaryotic genome annotation..13,329–342(2012)Search in Google Scholar
Yu CH, Sephton-Clark P, Tenor JL, Toffaletti DL, Giamberardino C, Haverkamp M., Cuomo C.A., Perfect J.R.: Gene expression of diverse Cryptococcus isolates during infection of the human central nervous system. Mbio, 12, e02313–21 (2021)YuCHSephton-ClarkPTenorJLToffalettiDLGiamberardinoCHaverkampM.CuomoC.A.PerfectJ.R.:Gene expression of diverse Cryptococcus isolates during infection of the human central nervous system.,12, e02313–21(2021)Search in Google Scholar