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Candida albicans ( C. albicans) is an opportunistic pathogen in humans and possesses a white-opaque heritable switching system. Wor1 is a master regulator of white-opaque switching and is essential for opaque cell formation in C. albicans. However, the regulatory network of Wor1 in white-opaque switching is still vague. In this study, we obtain a series of Wor1-interacting proteins using LexA-Wor1 as bait. Among these proteins, function unknown now 30 (Fun30) interacts with Wor1 in vitro and in vivo. Fun30 expression is upregulated in opaque cells at the transcriptional and protein levels. Loss of FUN30 attenuates white-to-opaque switching, while ectopic expression of FUN30 significantly increases white-to-opaque switching in an ATPase activity-dependent manner. Furthermore, FUN30 upregulation is dependent on CO 2; loss of FLO8, a key CO 2-sensing transcriptional regulator, abolishes FUN30 upregulation. Interestingly, deletion of FUN30 affects the WOR1 expression regulation feedback loop. Thus, our results indicate that the chromatin remodeller Fun30 interacts with Wor1 and is required for WOR1 expression and opaque cell formation.

In millimeter-wave imaging systems, the inversion efficiency of both the narrowband and broadband systems is affected by the target's distribution distance. The mismatched distances cause inefficiency of the system, and the recovered images suffer from displacement blur. We analyze in detail the reasons for this phenomenon and propose a simple method to overcome it. Minimizing the sharpness metric of images is a key strategy to solve this problem. Using this method, the exact range information of the target can be obtained from the minimum sharpness of the unknown object, and then, the region of interest of the inversion can be located. Both synthetic and full-wave simulation data demonstrate the superiority of the method. Finally, the efficiency of the method is verified by the in-house developed test system. [ABSTRACT FROM AUTHOR]

The filamentous fungus Aspergillus flavus causes devastating diseases not only to cash crops but also to humans by secreting a series of secondary metabolites called aflatoxins. In the cotranslational or posttranslational process, N -myristoyltransferase (Nmt) is a crucial enzyme that catalyzes the myristate group from myristoyl-coenzyme A (myristoyl-CoA) to the N terminus or internal glycine residue of a protein by forming a covalent bond. Members of the Nmt family execute a diverse range of biological functions across a broad range of fungi. However, the underlying mechanism of AflNmt action in the A. flavus life cycle is unclear, particularly during the growth, development, and secondary metabolic synthesis stages. In the present study, AlfNmt was found to be essential for the development of spore and sclerotia, based on the regulation of the xylose-inducible promoter. AflNmt, located in the cytoplasm of A. flavus, is also involved in modulating aflatoxin (AFB1) in A. flavus, which has not previously been reported in Aspergillus spp. In addition, we purified, characterized, and crystallized the recombinant AflNmt protein (rAflNmt) from the Escherichia coli expression system. Interestingly, the crystal structure of rAlfNmt is moderately different from the models predicted by AlphaFold2 in the N-terminal region, indicating the limitations of machine-learning prediction. In conclusion, these results provide a molecular basis for the functional role of AflNmt in A. flavus and structural insights concerning protein prediction. IMPORTANCE As an opportunistic pathogen, A. flavus causes crop loss due to fungal growth and mycotoxin contamination. Investigating the role of virulence factors during infection and searching for novel drug targets have been popular scientific topics in the field of fungal control. Nmt has become a potential target in some organisms. However, whether Nmt is involved in the developmental stages of A. flavus and aflatoxin synthesis, and whether AlfNmt is an ideal target for structure-based drug design, remains unclear. This study systematically explored and identified the role of AlfNmt in the development of spore and sclerotia, especially in aflatoxin biosynthesis. Moreover, although there is not much difference between the AflNmt model predicted using the AlphaFold2 technique and the structure determined using the X-ray method, current AI prediction models may not be suitable for structure-based drug development. There is still room for further improvements in protein prediction.