Assessing base-resolution DNA mechanics on the genome scale

Identification of Eleutherococcus senticosus NAC transcription factors and their mechanisms in mediating DNA methylation of EsFPS, EsSS, and EsSE promoters to regulate saponin synthesis

BACKGROUND

The formation of pharmacologically active components in medicinal plants is significantly impacted by DNA methylation. However, the exact mechanisms through which DNA methylation regulates secondary metabolism remain incompletely understood. Research in model species has demonstrated that DNA methylation at the transcription factor binding site within functional gene promoters can impact the binding of transcription factors to target DNA, subsequently influencing gene expression. These findings suggest that the interaction between transcription factors and target DNA could be a significant mechanism through which DNA methylation regulates secondary metabolism in medicinal plants.

RESULTS

This research conducted a comprehensive analysis of the NAC family in E. senticosus, encompassing genome-wide characterization and functional analysis. A total of 117 EsNAC genes were identified and phylogenetically divided into 15 subfamilies. Tandem duplications and chromosome segment duplications were found to be the primary replication modes of these genes. Motif 2 was identified as the core conserved motif of the genes, and the cis-acting elements, gene structures, and expression patterns of each EsNAC gene were different. EsJUB1, EsNAC047, EsNAC098, and EsNAC005 were significantly associated with the DNA methylation ratio in E. senticosus. These four genes were located in the nucleus or cytoplasm and exhibited transcriptional self-activation activity. DNA methylation in EsFPS, EsSS, and EsSE promoters significantly reduced their activity. The methyl groups added to cytosine directly hindered the binding of the promoters to EsJUB1, EsNAC047, EsNAC098, and EsNAC005 and altered the expression of EsFPS, EsSS, and EsSE genes, eventually leading to changes in saponin synthesis in E. senticosus.

CONCLUSIONS

NAC transcription factors that are hindered from binding by methylated DNA are found in E. senticosus. The incapacity of these NACs to bind to the promoter of the methylated saponin synthase gene leads to subsequent alterations in gene expression and saponin synthesis. This research is the initial evidence showcasing the involvement of EsNAC in governing the impact of DNA methylation on saponin production in E. senticosus.

Employing bimodal representations to predict DNA bendability within a self-supervised pre-trained framework

The bendability of genomic DNA, which measures the DNA looping rate, is crucial for numerous biological processes of DNA. Recently, an advanced high-throughput technique known as 'loop-seq' has made it possible to measure the inherent cyclizability of DNA fragments. However, quantifying the bendability of large-scale DNA is costly, laborious, and time-consuming. To close the gap between rapidly evolving large language models and expanding genomic sequence information, and to elucidate the DNA bendability's impact on critical regulatory sequence motifs such as super-enhancers in the human genome, we introduce an innovative computational model, named MIXBend, to forecast the DNA bendability utilizing both nucleotide sequences and physicochemical properties. In MIXBend, a pre-trained language model DNABERT and convolutional neural network with attention mechanism are utilized to construct both sequence- and physicochemical-based extractors for the sophisticated refinement of DNA sequence representations. These bimodal DNA representations are then fed to a k-mer sequence-physicochemistry matching module to minimize the semantic gap between each modality. Lastly, a self-attention fusion layer is employed for the prediction of DNA bendability. In conclusion, the experimental results validate MIXBend's superior performance relative to other state-of-the-art methods. Additionally, MIXBend reveals both novel and known motifs from the yeast. Moreover, MIXBend discovers significant bendability fluctuations within super-enhancer regions and transcription factors binding sites in the human genome.

DNA flexibility can shape the preferential hypermutation of antibody genes

Antibody-coding genes accumulate somatic mutations to achieve antibody affinity maturation. Genetic dissection using various mouse models has shown that intrinsic hypermutations occur preferentially and are predisposed in the DNA region encoding antigen-contacting residues. The molecular basis of nonrandom/preferential mutations is a long-sought question in the field. Here, we summarize recent findings on how single-strand (ss)DNA flexibility facilitates activation-induced cytidine deaminase (AID) activity and fine-tunes the mutation rates at a mesoscale within the antibody variable domain exon. We propose that antibody coding sequences are selected based on mutability during the evolution of adaptive immunity and that DNA mechanics play a noncoding role in the genome. The mechanics code may also determine other cellular DNA metabolism processes, which awaits future investigation.

Predictions of DNA mechanical properties at a genomic scale reveal potentially new functional roles of DNA flexibility

Mechanical properties of DNA have been implied to influence many of its biological functions. Recently, a new high-throughput method, called loop-seq, which allows measuring the intrinsic bendability of DNA fragments, has been developed. Using loop-seq data, we created a deep learning model to explore the biological significance of local DNA flexibility in a range of different species from different kingdoms. Consistently, we observed a characteristic and largely dinucleotide-composition-driven change of local flexibility near transcription start sites. In the presence of a TATA-box, a pronounced peak of high flexibility can be observed. Furthermore, depending on the transcription factor investigated, flanking-sequence-dependent DNA flexibility was identified as a potential factor influencing DNA binding. Compared to randomized genomic sequences, depending on species and taxa, actual genomic sequences were observed both with increased and lowered flexibility. Furthermore, in Arabidopsis thaliana, mutation rates, both de novo and fixed, were found to be associated with relatively rigid sequence regions. Our study presents a range of significant correlations between characteristic DNA mechanical properties and genomic features, the significance of which with regard to detailed molecular relevance awaits further theoretical and experimental exploration.