Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.05.13.725025

Integrative host transcriptomic and mucosal microbiome profiling reveals region-specific host-microbiome associations across the human intestine

Abstract

Host genetics shapes gut microbiome composition, yet the physiological mechanisms underlying this relationship remain poorly understood. Characterizing associations between host gene expression and the mucosal microbiome offers a promising route to identifying the host pathways and microbial taxa most likely to interact physiologically. However, existing investigations have been conducted primarily in acute disease contexts and within the colon, leaving host-microbiome associations outside of acute inflammatory contexts and those in undersampled regions such as the terminal ileum poorly characterized. To address these gaps, we profiled paired host gene expression from full-thickness resections and mucosal microbiome data, both from macroscopically non-inflamed tissue from Crohns disease patients undergoing surgery across three intestinal sites: terminal ileum (n = 32), cecum (n = 35), and right colon (n = 30). Using a multi-level analytical framework including Procrustes analysis, sparse canonical correlation analysis, and elastic net regression, we identified significant associations between the mucosal transcriptome and microbiome. Intestine-wide, genes enriched in immune and intestinal barrier integrity pathways were associated with heritable taxa including Fusicatenibacter, consistent with patterns observed in microbiome genome-wide association studies. Region-specific analysis identified the terminal ileum as a distinct site of host-microbiome interaction, with associations involving metabolic and barrier-related pathways not observed in the large intestine. Notable terminal ileum-specific associations included PCDH20 with Faecalitalea and ACAT1 with Lactococcus, implicating epithelial barrier maintenance and host-microbiome metabolic interactions, respectively. These findings advance our understanding of the physiological basis of host-microbiome interactions across the intestine. ImportanceThe human gut is home to trillions of microorganisms that interact with the intestinal lining, yet we have a limited understanding of the specific biological processes involved in these interactions. Most studies characterizing the relationships between host gene expression and the gut microbiome have focused on the colon and on active disease contexts, leaving it unclear whether the associations observed reflect fundamental host-microbiome biology or disease-specific responses. By examining mucosal tissue, where host cells and microbes are in direct contact, across three sites in non-acutely inflamed tissue, we show that expression of immune defense and barrier maintenance genes is broadly associated with the microbiome across the intestine. We also identify distinct classes of associations in the terminal ileum, including host genes involved in metabolic processes. These findings provide a foundation for understanding how host biology and the gut microbiome are linked outside of acute disease.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ryu, E. P., Keller, C. A., Nichols, R. G., Tran, H. N., Brocious, P. R., Harris, L. R., Koltun, W. A., Yochum, G. S., Davenport, E. R.. 2026-05-14. Integrative host transcriptomic and mucosal microbiome profiling reveals region-specific host-microbiome associations across the human intestine. https://doi.org/10.64898/2026.05.13.725025

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Chromosome-level, haplotype-resolved genome assembly of the tanniferous forage legume big trefoil (Lotus pedunculatus Cav.) using CiFi

Big trefoil (Lotus pedunculatus Cav.) is a perennial forage legume that thrives on acidic, low-fertility soils and produces condensed tannins that reduce enteric methanogenesis in ruminants. Despite this agronomic potential, genomic resources for the species remain scarce, and the existing haploid assembly does not resolve the two haplotypes of this outcrossing diploid species. Here we present a haplotype-resolved, chromosome-level reference genome for L. pedunculatus genotype Lusitano29 -- the first plant genome assembled using CiFi, a long-read chromosome conformation capture method. We combined PacBio HiFi long reads with CiFi concatemers produced from DpnII and HindIII libraries; in silico digestion and combinatorial pairing of the resulting monomers yielded 790.3 M and 10.3 M pseudo-paired contacts, respectively, enabling scaffolding and manual curation to chromosome level. The 991.1 Mb assembly resolves two phased haplotypes of 500 and 491 Mb, with 96.6% of the sequence anchored in twelve pseudo-chromosomes (six per haplotype). Telomeric repeats were detected at 19 of 24 pseudo-chromosome ends, and no structural errors were detected (scaffold N50 73.8 Mb; consensus QV 64.7; k-mer completeness 99.4%; genome-mode BUSCO completeness 97.0%; CRAQ S-AQI 100.0). Annotation supported by PacBio Iso-Seq full-length transcripts predicted 38,069 and 36,484 protein-coding genes in haplotypes 1 and 2, respectively (protein-mode BUSCO completeness 96.5%), indicating a high completeness of annotated genes. This genome assembly provides a foundation for allele-aware trait dissection of proanthocyanidin biosynthesis, comparative genomics in Lotus, and population genomics and genomics-assisted breeding in L. pedunculatus.

genomics↗

Bramble: projection of spliced genomic alignments into transcriptomic space for improved transcript quantification

Accurate transcript abundance estimation is central to many transcriptomic studies. Many current quantification methods rely on reads mapped directly to the transcriptome, but transcriptome alignment can misassign reads from unannotated transcripts to annotated isoforms, leading to biased abundance estimates. We introduce Bramble, a method that projects spliced genomic alignments into transcriptomic coordinates to produce alignments compatible with downstream transcript quantification tools. Across simulated short- and long-read RNA-seq datasets and multiple levels of reference annotation completeness, incorporating Bramble into quantification pipelines consistently improved accuracy and reduced error. These results suggest that genome-derived transcriptomic alignments can improve transcript quantification by preserving compatible alignments to annotated transcripts while filtering alignments likely originating from unannotated transcripts.

genomics↗

PRDM9-mediated meiotic hotspot specification is constrained in humans despite extensive sequence diversity

PRDM9 specifies meiotic recombination hotspots through a rapidly evolving C2H2 zinc-finger (ZNF) coding minisatellite that determines DNA-binding specificity. Although this minisatellite harbors extraordinary allelic diversity in humans, the functional consequences of most naturally occurring variants remain unknown. Here we functionally characterize 80 human PRDM9 alleles using genome-wide chromatin profiling. Despite extensive sequence diversity within the ZNF array, most alleles function indistinguishably from common A and C hotspot-specifying alleles, revealing that human PRDM9 function is more constrained than its sequence diversity predicts. In contrast, rare and infertility-associated variants occupy two functional extremes: either abundant and novel DNA binding specificity or minimal DNA binding, suggesting that both gain- and loss-of-function alleles may disrupt symmetric hotspot specification during meiosis, thus representing a plausible contributor to human infertility. Together, our findings define the functional landscape of human PRDM9 variation and provide a framework for interpreting the impact of newly discovered PRDM9 alleles.

genomics↗