Multi-Omics Approaches Provide New Insights into the Identification of Putative Fungal Effectors from Valsa mali
Pathogenic fungi secrete numerous effectors into host cells to manipulate plants' defense mechanisms. , a necrotrophic fungus, severely impacts apple production in China due to the occurrence of Valsa canker. Here, we predicted 210 candidate effector protein (CEP)-encoding genes from . The tran...
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Published in | Microorganisms (Basel) Vol. 12; no. 4; p. 655 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
26.03.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Pathogenic fungi secrete numerous effectors into host cells to manipulate plants' defense mechanisms.
, a necrotrophic fungus, severely impacts apple production in China due to the occurrence of Valsa canker. Here, we predicted 210 candidate effector protein (CEP)-encoding genes from
. The transcriptome analysis revealed that 146 CEP-encoding genes were differentially expressed during the infection of the host,
. Proteome analysis showed that 27 CEPs were differentially regulated during the infection stages. Overall, 25 of the 146 differentially expressed CEP-encoding genes were randomly selected to be transiently expressed in
. Pathogenicity analysis showed that the transient expression of VM1G-05058 suppressed BAX-triggered cell death while the expression of VM1G-10148 and VM1G-00140 caused cell death in
. In conclusion, by using multi-omics analysis, we identified potential effector candidates for further evaluation in vivo. Our results will provide new insights into the investigation of virulent mechanisms of
. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2076-2607 2076-2607 |
DOI: | 10.3390/microorganisms12040655 |