Dgenome

Dgenome is a term used in genomics to describe a dual-genome framework that analyzes or edits two genomes within a single biological system. It is commonly applied to the interaction between a host organism and a second genome, such as a microbial symbiont, a pathogen, or a synthetic genetic element. The approach integrates sequencing, functional genomics, and computational analysis to study cross-genome interactions, co-regulation, and co-evolution. In some contexts, Dgenome also refers to methods capable of simultaneous editing of two genomes, though practical implementation remains challenging.

Development has grown from advances in CRISPR-based editing, long-read sequencing, and multi-omics integration. Researchers employ dual-genome assays to map how changes in one genome influence expression and phenotypes in the other, and vice versa. The concept emphasizes the interconnectedness of genomes within a biological system rather than treating them as independent units.

Technologies associated with Dgenome include dual-genome sequencing and transcriptomics, computational tools for aligning reads to two reference genomes, and conceptual frameworks for designing edits across genomes. Analytical pipelines must distinguish shared regulatory signals from cross-genome effects and mitigate biases introduced by uneven genome sizes or copy number.

Applications span basic science and applied fields, including microbiome research, plant–microbe interactions, infectious disease, and synthetic biology. In agriculture, dual-genome analyses can inform strategies that consider both crop genetics and resident microbiomes. In medicine, they support studies of host–pathogen dynamics and complex microbial communities.

Limitations include technical complexity, data interpretation challenges, and ethical considerations related to dual-genome manipulation. Safety, privacy, and regulatory frameworks are central to ongoing discussions about the responsible use of Dgenome technologies.