Vital role for the J-domain protein Mdj1 in asexual development, multiple stress tolerance, and virulence of Beauveria bassiana.
Jie WangSheng-Hua YingYue HuMing-Guang FengPublished in: Applied microbiology and biotechnology (2016)
Mdj1 is a member of the Hsp40 family containing a DnaJ or J domain. Here, we have examined the functions of an Mdj1 orthologue (56.68 kDa) in Beauveria bassiana, a filamentous fungal insect pathogen widely applied in biological control of insect pests. Deletion of mdj1 in B. bassiana resulted in significant growth defects on a variety of complex and minimal media. The Δmdj1 mutant exhibited not only a drastic reduction (92 %) in aerial conidiation during optimal cultivation but also a remarkable decrease (77 %) in submerged blastospore production. Compared to wild-type, the deletion mutant was significantly more sensitive to the stresses of cell wall perturbation, high osmolarity, oxidation, carbendazim fungicide, several metal ions, and acidic/alkaline pH during conidial germination and/or colony growth. In the mutant, conidial thermotolerance and UV-B resistance decreased by 61 and 25 %, respectively, and virulence to Galleria mellonella larvae was largely attenuated. Transcript levels of many phenotype-related genes were drastically suppressed in the absence of mdj1, accompanied with impaired cell walls and reduced intracellular anti-stress molecules, including superoxide dismutases, catalases, glycerol, trehalose, and mannitol. These data indicate that Mdj1 plays a vital role in normal fungal development and contributes significantly to the biological control potential of B. bassiana against insect pests.
Keyphrases
- wild type
- cell wall
- aedes aegypti
- escherichia coli
- pseudomonas aeruginosa
- staphylococcus aureus
- heat shock protein
- hydrogen peroxide
- biofilm formation
- antimicrobial resistance
- heat shock
- single cell
- heat stress
- electronic health record
- nitric oxide
- oxidative stress
- quantum dots
- big data
- protein protein
- candida albicans
- reactive oxygen species
- risk assessment
- cell therapy
- human health
- small molecule
- artificial intelligence
- bone marrow
- machine learning
- amino acid
- deep learning
- drosophila melanogaster
- plant growth