Mayoud, C. | Search bioRxiv

bioRxiv2026

HPRC2: A human pangenome reference with near-complete coverage of common genetic variation

A pangenome reference overcomes the inherent limitation of any individual reference genome by integrating the variation present in a population. We present the Human Pangenome Reference Consortiums (HPRC) Release 2 (HPRC2), an openly available, second phase pangenome that is an approximately fivefold expansion in genome number over HPRC Release 1 (HPRC1) and measurable improvement in genome completeness, contiguity, and accuracy. Selecting samples with a principled algorithm prioritising common variant coverage, HPRC2 contributes 460 haplotypes that together capture over 99% of common variation observed in the All of Us Research Program v8 cohort. Combining high-coverage long and ultra-long reads with modern assemblers and polishers, we produce thousands of telomere-to-telomere (T2T) chromosomes, and relative to HPRC1 halve the number of structurally unreliable regions as well as individual base errors per haplotype. We complement the assemblies with whole genome multiple alignments and gene annotations, and derive formal pangenome coordinate systems for addressing off-reference variation, demonstrating that individual human genomes contain more than one hundred thousand variants not succinctly described with respect to existing reference genomes. We also present the first matched long-read backed pantranscriptome and panepigenome at this scale, provide continuous local-ancestry estimates spanning every genome, and outline a host of new tools and applications that leverage the pangenome resource for improved genomics analysis.

genomics↗

bioRxiv2025

A scalable architecture for tuning multistate differentiation ratios in synthetic microbial consortia

Establishing synthetic microbial consortia in competitive environments is often compromised by stochastic colonization bottlenecks, where founder effects lead to the unpredictable dominance of a single strain. Here, we overcome this challenge by engineering a differentiation abacus, a scalable, single-layer recombinase architecture that enables a single progenitor cell to differentiate into up to twelve distinct subpopulations. By arranging competitive excision sites in a linear array, we demonstrate that differentiation ratios can be programmed through rationally tuning recombination-site kinetics and inter-site spacing. This architecture allows the generation of strictly mutually exclusive phenotypes with tunable composition, scaling from simple two-state systems to complex multi-state ensembles without the need for multilayered regulation. Finally, we validate the systems utility in a mouse tumor model, showing that in situ differentiation establishes robust, homogeneous consortia that overcome the colonization variability associated with pre-assembled mixtures. This work provides a versatile and scalable framework for reliably controlling consortia composition for bioproduction, synthetic ecology, and engineered living therapies.

synthetic biology↗