SC-7

Maydis leaf blight is a significant disease of maize caused by Bipolaris maydis race T, O and C. Molecular mechanisms regulating defense responses in non-CMS maize towards race O fungus are not fully known. In the present investigation, comparative transcriptome profiling was conducted on a highly resistant maize genotype SC-7-2-1-2-6-1 against a standard susceptible variety CM 119 at 48 h post inoculation (h PI) along with non-infected control. mRNA sequencing generated 38.4 Gb data, where 9349602 reads were mapped uniquely in SC-7, whereas 2714725 reads were mapped uniquely in CM-119. In inoculated SC-7, the total number of differentially expressed genes (DEGs) against control was 1413, where 1011 were up-regulated, and 402 were down-regulated. In susceptible inoculated genotype CM 119, the number of DEGs against control was 2902, where 1703 were up-, and 1199 were down-regulated. DEGs between inoculated resistant and susceptible genotypes were 10745, where 5343 were up-, and 5402 were down-regulated. The RNA-seq data were validated using RT-qPCR. The key findings are that SC-7 poses a robust plant signaling system mainly induced by oxidation-reduction process and calcium-mediated signaling. It regulates its fitness-related genes efficiently, viz., aldolase 2 gene, isopropanoid, phyto hormones, P450 cytochrome, amino acid synthesis, nitrogen assimilation genes etc. These findings showed more transcriptional changes in the SC-7 genotype, which contains many defence-related genes. They can be explored in future crop development programmes to combat multiple maize diseases. The current finding provides information to elucidate molecular and cellular processes occurring in maize during B. maydis race O infection.

The β-amyloid cleaving enzymes 1 and 2 (BACE1 and BACE2) have been regarded as the prospective targets for clinically treating Alzheimer's disease (AD) in the last two decades. Thus, insight into the binding differences of inhibitors to BACE1 and BACE2 is of significance for designing highly selective inhibitors toward the two proteins. In this work, multiple short molecular dynamics (MSMD) simulations are coupled with the molecular mechanics generalized Born surface area (MM-GBSA) method to probe the binding selectivity of three inhibitors DBO, CS9, and SC7 on BACE1 over BACE2. The results show that the entropy effect plays a key role in selectivity identification of inhibitors toward BACE1 and BACE2, which determines that DBO has better selectivity toward BACE2 over BACE1, while CS9 and CS7 can more favorably bind to BACE1 than BACE2. The hierarchical clustering analysis based on energetic contributions of residues suggests that BACE1 and BACE2 share the common hot interaction spots. The residue-based free-energy decomposition method was applied to compute the inhibitor-residue interaction spectrum, and the results recognize four common binding subpockets corresponding to the different groups of inhibitors, which can be used as efficient targets for designing highly selective inhibitors toward BACE1 and BACE2. Therefore, these results provide a useful molecular basis and dynamics information for development of highly selective inhibitors targeting BACE1 and BACE2.