Dissecting the genome, secretome, and effectome repertoires of Monilinia spp.: The causal agent of brown rot disease: A comparative analysis

被引:16
作者
Akhoon, Bashir Akhlaq [1 ]
Gupta, Shishir Kumar [2 ]
Dhar, Manoj Kumar [1 ]
机构
[1] Univ Jammu, Sch Biotechnol, Genome Res Lab, Jammu 180006, India
[2] Univ Wurzburg, Bioctr, Dept Bioinformat, Funct Genom & Syst Biol Grp, D-97074 Wurzburg, Germany
关键词
Brown rot pathogen; Monilinia genome; Postharvest disease; Fungal secretome; Virulence factors; Phylogenetics; 1ST REPORT; PHYLOGENETIC ANALYSIS; FRUCTICOLA; PREDICTION; PROTEIN; APPLE; GENE; INFECTION; EVOLUTION; ENZYMES;
D O I
10.1016/j.postharvbio.2022.112120
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Brown rot is one of the most economically important pomes and stone fruit diseases in the world, incurring significant losses during both pre-and post-harvest phases. The disease is caused by the fungus Monilinia, which consists mostly of three fungal species: Monilinia laxa, M. fructicola, and M. fructigena. Genomic insights on the eight Monilinia isolates provided a substantial catalogue of genes involved in cellulolysis, pectinolysis, proteol-ysis, and secondary metabolism. The examination of transcription factor distribution revealed that the tran-scription factors fungal trans and Zn clus are prevalent in their TFomes. KEGG pathway analysis indicated that Monilinia spp. infection activated multiple pathways involved in carbohydrate catabolism, autophagy, and pentose and glucuronate interconversion for effective colonization. The secretome analysis revealed several putative fungal effectors, and RNA-Seq transcriptome profiling confirmed the expression of many virulence -promoting genes. We also looked at how evolution has influenced the secretome architecture of the fungus and discovered secretome family expansion in Monilinia spp., which might assist in adaptability to both external and internal environments. Furthermore, we discovered that several Monilinia effectors are evolving under positive selection pressure, suggesting that Monilinia spp. may become more fungicide resistant soon.
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页数:16
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共 119 条
[1]   β-Amino acid-containing hybrid peptides -: new opportunities in peptidomimetics [J].
Aguilar, Marie-Isabel ;
Purcell, Anthony W. ;
Devi, Romila ;
Lew, Rebecca ;
Rossjohn, Jamie ;
Smitha, A. Ian ;
Perlmutter, Patrick .
ORGANIC & BIOMOLECULAR CHEMISTRY, 2007, 5 (18) :2884-2890
[2]   Rapidly evolving genes in pathogens: Methods for detecting positive selection and examples among fungi, bacteria, viruses and protists Discussion [J].
Aguileta, Gabriela ;
Refregier, Guislaine ;
Yockteng, Roxana ;
Fournier, Elisabeth ;
Giraud, Tatiana .
INFECTION GENETICS AND EVOLUTION, 2009, 9 (04) :656-670
[3]   Postharvest biocontrol ability of Pseudomonas synxantha against Monilinia fructicola and Monilinia fructigena on stone fruit [J].
Aiello, Dalia ;
Restuccia, Cristina ;
Stefani, Emilio ;
Vitale, Alessandro ;
Cirvilleri, Gabriella .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2019, 149 :83-89
[4]   Deconstructing the evolutionary complexity between rust fungi (Pucciniales) and their plant hosts [J].
Aime, M. C. ;
Bell, C. D. ;
Wilson, A. W. .
STUDIES IN MYCOLOGY, 2018, (89) :143-152
[5]   Comparative analysis of secretomes in basidiomycete fungi [J].
Alfaro, Manuel ;
Oguiza, Jose A. ;
Ramirez, Lucia ;
Pisabarro, Antonio G. .
JOURNAL OF PROTEOMICS, 2014, 102 :28-43
[6]   De novo assembly and comparative transcriptome analysis of Monilinia fructicola, Monilinia laxa and Monilinia fructigena, the causal agents of brown rot on stone fruits [J].
Angelini, Rita M. De Miccolis ;
Abate, Domenico ;
Rotolo, Caterina ;
Gerin, Donato ;
Pollastro, Stefania ;
Faretra, Francesco .
BMC GENOMICS, 2018, 19
[7]   Tracking of Diversity and Evolution in the Brown Rot Fungi Monilinia fructicola, Monilinia fructigena, and Monilinia laxa [J].
Angelini, Rita Milvia De Miccolis ;
Landi, Lucia ;
Raguseo, Celeste ;
Pollastro, Stefania ;
Faretra, Francesco ;
Romanazzi, Gianfranco .
FRONTIERS IN MICROBIOLOGY, 2022, 13
[8]   Detecting sequence signals in targeting peptides using deep learning [J].
Armenteros, Jose Juan Almagro ;
Salvatore, Marco ;
Emanuelsson, Olof ;
Winther, Ole ;
von Heijne, Gunnar ;
Elofsson, Arne ;
Nielsen, Henrik .
LIFE SCIENCE ALLIANCE, 2019, 2 (05)
[9]   SignalP 5.0 improves signal peptide predictions using deep neural networks [J].
Armenteros, Jose Juan Almagro ;
Tsirigos, Konstantinos D. ;
Sonderby, Casper Kaae ;
Petersen, Thomas Nordahl ;
Winther, Ole ;
Brunak, Soren ;
von Heijne, Gunnar ;
Nielsen, Henrik .
NATURE BIOTECHNOLOGY, 2019, 37 (04) :420-+
[10]   DeepLoc: prediction of protein subcellular localization using deep learning [J].
Armenteros, Jose Juan Almagro ;
Sonderby, Casper Kaae ;
Sonderby, Soren Kaae ;
Nielsen, Henrik ;
Winther, Ole .
BIOINFORMATICS, 2017, 33 (21) :3387-3395