FIGURE 1 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Source publication
Scleromitrula shiraiana is a necrotrophic fungus with a narrow host range, and is one of the main causal pathogens of mulberry sclerotial disease. However, its molecular mechanisms and pathogenesis are unclear. Here, we report a 39.0 Mb high-quality genome sequence for S. shiraiana strain SX-001. The S. shiraiana genome contains 11,327 protein-codi...
Contexts in source publication
Context 1
... shiraiana is a typical necrotrophic plant pathogenic fungus, which is phylogenetically closely related to the notorious Sclerotinia sclerotiorum and Botrytis cinerea. Their life cycles are also similar, and all of them belong to the Sclerotinaceae family (Ascomycota) (Figure 1). Both S. sclerotiorum and B. cinerea have considerably broader host ranges than that of S. shiraiana, causing diseases in more than 400 and 1000 plant species, respectively, including many important crops (Bolton et al., 2006;Williamson et al., 2007;Elad et al., 2016). ...
Context 2
... MAT1-2 idiomorph of S. shiraiana SX-001 contained MAT1-2-1 and MAT1-2-4, but their encoded products showed only 37.0% and 29.1% similarity to their homologs in B. cinerea T4, respectively. These values were significantly lower than the similarity of MAT1 products between B. cinerea T4 and S. sclerotiorum (strain 1980), 77.0% and 65.1%, respectively (Supplementary Figure 1). ...
Similar publications
Ciboria carunculoides is the dominant causal agent of mulberry sclerotial disease, and it is a necrotrophic fungal pathogen with a narrow host range that causes devastating diseases in mulberry fruit. However, little is known about the interaction between C. carunculoides and mulberry. Here, our transcriptome sequencing results showed that the tran...
Citations
... About 126 plant pathogenic bacterial species have a draft or complete genome sequence available. Genomic information on plant pathogens is important to the scientific community in several fundamental ways: 1) Understanding the underlying molecular mechanisms of host specificity and range (Ailloud et al., 2015;Newman and Derbyshire;Lv et al., 2021); 2) Investigating the potential virulence mechanisms and expression pattern differences between different strains (Garita-Cambronero et al., 2016;Susič et al., 2020;Goettelmann et al., 2022); 3) Capable of discerning the causal agent for plant disease development (Pecman et al., 2017;Saville and Ristaino, 2021;Yang et al., 2022); 4) Study of non-cultured microbes (Parks et al., 2017;Lapidus and Korobeynikov;; 5)Taxonomic classification (Prior et al., 2016;Bansal et al., 2021); 6) Examine genetic similarity and difference within and between populations (Jacques et al., 2016;Shah et al., 2021;Xu et al., 2021); 7) Exploring the mechanisms of bacterial evolution and host-bacteria coevolution (Shapiro et al., 2016;Rocha et al., 2020); 8) Determine the mechanisms of hosts resistance and susceptibility (Dalio et al., 2017;Kankanala et al., 2019). Such rigorous knowledge of the biological phenomenon enhances the management of abiotic and biotic stress and disease control and improves plant health, consequently increasing crop yield and food quality (Haggag et al., 2015;Hamilton et al., 2016). ...
The success of sustainable agricultural practices has now become heavily dependent on the interactions between crop plants and their associated microbiome. Continuous advancement in high throughput sequencing platforms, omics-based approaches, and gene editing technologies has remarkably accelerated this area of research. It has enabled us to characterize the interactions of plants with associated microbial communities more comprehensively and accurately. Furthermore, the genomic and post-genomic era has significantly refined our perspective toward the complex mechanisms involved in those interactions, opening new avenues for efficiently deploying the knowledge in developing sustainable agricultural practices. This review focuses on our fundamental understanding of plant-microbe interactions and the contribution of existing multi-omics approaches, including those under active development and their tremendous success in unraveling different aspects of the complex network between plant hosts and microbes. In addition, we have also discussed the importance of sustainable and eco-friendly agriculture and the associated outstanding challenges ahead.
... For the congeneric fungi, Calcarisporium parasiticum has been observed to parasitize several species of Physalospora and closely related fungi [87]. Scleromitrula shiraiana is a causal agent of mulberry sclerotial disease with a narrow host range but includes some species of genus Morus [88]. ...
... In the genome of E. weberi, a specific parasite of ant cultivated Leucoagaricus spp., the depletion of CAZymes was also found [100]. There were fewer genes encoding cell wall-degrading enzymes and effector proteins in the genome of Sclerotinia shiraiana than those of Sclerotinia sclerotiorum and B. cinerea, which was probably a key factor of the narrow host range of S. shiraiana [88]. ...
Calcarisporium cordycipiticola is the pathogen in the white mildew disease of Cordyceps militaris, one of the popular mushrooms. This disease frequently occurs and there is no effective method for disease prevention and control. In the present study, C. militaris is found to be the only host of C. cordycipiticola, indicating strict host specificity. The infection process was monitored by fluorescent labeling and scanning and transmission electron microscopes. C. cordycipiticola can invade into the gaps among hyphae of the fruiting bodies of the host and fill them gradually. It can degrade the hyphae of the host by both direct contact and noncontact. The parasitism is initially biotrophic, and then necrotrophic as mycoparasitic interaction progresses. The approximate chromosome-level genome assembly of C. cordycipiticola yielded an N50 length of 5.45 Mbp and a total size of 34.51 Mbp, encoding 10,443 proteins. Phylogenomic analysis revealed that C. cordycipiticola is phylogenetically close to its specific host, C. militaris. A comparative genomic analysis showed that the number of CAZymes of C. cordycipiticola was much less than in other mycoparasites, which might be attributed to its host specificity. Secondary metabolite cluster analysis disclosed the great biosynthetic capabilities and potential mycotoxin production capability. This study provides insights into the potential pathogenesis and interaction between mycoparasite and its host.
Mulberry sclerotial disease is a destructive disease that afflicts mulberry fruits throughout the world. In recent years, the impact of mulberry sclerotial disease has become increased in with the development of fruit mulberry industry. Ciboria carunculoides, C. shiraiana, and Scleromitrula shiraiana are all pathogens of mulberry sclerotial disease, but the dominant pathogen may be different in different mulberry planting areas. In this study, we investigated the causal agents of mulberry sclerotial disease in Chongqing and Sichuan, which are the main mulberry planting areas in Southwest China. The results showed that C. carunculoides was the dominant pathogen in the investigated areas, and the incidence rate of some widely cultivated mulberry varieties exceeded 90%. Based on the differences in ITS sequences of different pathogens, we established a HEM DNA digestion method, based on the three restriction enzymes HindIII, EcoRI and MluI, for rapid detection of pathogens on mulberry fruits. By using the HEM digestion method, it was confirmed that the diseased fruits of some mulberry varieties were infected by a mixture of C. carunculoides and S. shiraiana. Long‐fruit mulberry, which was considered to be resistant to sclerotial disease in the past, is also infected by C. carunculoides. Diseased fruit infected by C. shiraiana and by S. shiraiana alone were not detected. Our results suggest that C. carunculoides is probably the dominant pathogen of mulberry sclerotial disease in Southwest China. The HEM digestion method for a rapid detection of pathogens, provides theoretical support for diagnosis, epidemiology and disease monitoring.
