Dengwei Zhang

Microbes use signaling molecules to regulate multiple physiological processes and mediate chemical interactions. Decoding these chemical languages is instrumental in comprehending microbial regulatory mechanisms within complex microbiota. Here, we discover previously unidentified autoinducing peptides (AIPs) derived from the plant probiotic bacterium Paenibacillus polymyxa , identified as Pp-AIPs. Omics analyses coupled with genetic manipulations revealed that Pp-AIP1 could effectively modulate the production of multiple antimicrobial secondary metabolites at nanomolar concentration, expanding known AIP functions. Furthermore, through inoculating P. polymyxa in the natural rhizosphere microbiome and analyzing its antagonistic interactions against root microbes, we suggest that Pp-AIPs may influence the microbial community composition through modulating the antimicrobial spectrum. Global analysis of biosynthetic gene clusters (BGCs) reveal widespread co-occurrence of uncharacterized AIPs with secondary metabolite BGCs. This study underscores the unreported roles of AIPs in antibiotic regulation and the microbiome interactions, advancing knowledge of quorum-sensing mechanisms in microbial ecosystems.

DocMF uses HT DNB sequencing and sequential imaging to detect the cleavage/binding motifs involved in protein-DNA interactions.

Background: The specification and differentiation of neocortical projection neurons is a complex process under precise molecular regulation; however, little is known about the similarities and differences in cerebral cortex development between human and mouse at single-cell resolution. Results: Here, using single-cell RNA-seq (scRNA-seq) data we explore the divergence and conservation of human and mouse cerebral cortex development using 18,446 and 7,610 neocortical cells. Systematic cross-species comparison reveals that the overall transcriptome profile in human cerebral cortex is similar to that in mouse such as cell types and their markers genes. By single-cell trajectories analysis we find human and mouse excitatory neurons have different developmental trajectories of neocortical projection neurons, ligand-receptor interactions and gene expression patterns. Further analysis reveals a refinement of neuron differentiation that occurred in human but not in mouse, suggesting that excitatory neurons in human undergo refined transcriptional states in later development stage. By contrast, for glial cells and inhibitory neurons we detected conserved developmental trajectories in human and mouse. Conclusions: Taken together, our study integrates scRNA-seq data of cerebral cortex development in human and mouse, and uncovers distinct developing models in neocortical projection neurons. The earlier activation of cognition -related genes in human may explain the differences in behavior, learning or memory abilities between the two species.