The ISME JournalMicrobiologyPeer-reviewed journal article
Absolute abundance unveils Basidiobolus as a cross-domain bridge indirectly bolstering gut microbiome homeostasis
Mitra GhotbiiD, Jason W. DallasiD, Alexander J. Rurik, Chloe Cummins, Lluvia Vargas‐GastélumiD, Marjan GhotbiiD, Joseph W. SpataforaiD, Kian Kelly, N. Reed AlexanderiD, Kylie C. MoeiD, Kimberly C. Syring, Leila ShadmaniiD, Julissa Perez-Marron, Donald M. WalkeriD
Abstract
The host microbiome is integral to metabolism, immune function, and resilience against pathogens. However, reliance on relative abundance (RA) to estimate host-associated microbiomes introduces compositional biases, while limited tools for absolute abundance (AA) quantification hinder broader applications. To address these challenges, we developed DspikeIn (https://github.com/mghotbi/DspikeIn), an R package paired with a versatile wet-lab methodology for AA quantification. Using RA and AA to compare core microbiome distributions across herpetofauna orders and their natural histories revealed starkly distinct results, driven by aggregate effects, including inherited compositional biases in RA and additional multifactorial influences. Focusing on two closely related Desmognathus species demonstrated that AA quantification enhanced resolution in differential abundance analyses and minimized false discovery rates (FDR) when identifying enriched taxa in their gut microbiomes. Keystone taxa identified through network associations also differed between RA and AA data. For example, Lactococcus and Cetobacterium were core members in Anura and Caudata, while Basidiobolus and Mortierella were core to Chelonia and Squamata, facilitating host adaptation to diverse environments, insights undetectable with RA data. AA-based network analysis further revealed that removing the Basidiobolus subnetwork increased negative interactions, highlighting its role in promoting gut homeostasis through cross-domain connectivity. Despite low redundancy, the Basidiobolus node exhibited high betweenness, efficiency, and degree, serving as a critical bridge linking disconnected nodes or modules and indirectly supporting microbiome stability, consistent with Burts structural hole theory. DspikeIn represents a transformative tool for microbiome research, enabling the transition from RA to AA quantification and delivering more accurate, consistent, and comparable results across studies. Graphical abstract DspikeIn cheatsheet O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/630554v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@150900forg.highwire.dtl.DTLVardef@21cd90org.highwire.dtl.DTLVardef@13ead1borg.highwire.dtl.DTLVardef@1d6fa84_HPS_FORMAT_FIGEXP M_FIG C_FIG
- assay: metagenomics
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
- Citations
- 7
- FWCI
- 1.66
- Field percentile
- top 17%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Implications of taxonomic bias for microbial differential-abundance analysis
Michael R. McLaren, Jacob T. Nearing, … Benjamin J. Callahan·bioRxiv·Aug 19, 2022
- Multi-scale Adaptive Differential Abundance Analysis in Microbial Compositional Data
Shulei Wang·BioinformaticsPeer-reviewed·Apr 1, 2023
- Commonly used compositional data analysis implementations are not advantageous in microbial differential abundance analyses benchmarked against biological ground truth
Samuel David Gamboa-Tuz, Marcel Ramos, … Levi Waldron·bioRxiv·Feb 13, 2025
- A Quantitative Sequencing Framework for Absolute Abundance Measurements of Mucosal and Lumenal Microbial Communities
J. T. Barlow, S. R. Bogatyrev, R. F. Ismagilov·bioRxiv·Feb 28, 2020
- Benchmarking Differential Abundance Analysis Methods for Correlated Microbiome Sequencing Data
Lu Yang, Jun Chen·Briefings in BioinformaticsPeer-reviewed·Dec 13, 2022
- Macroecology of microbial performance across Earth's biomes
Angel Rain‐Franco, Adrian‐Ștefan Andrei, Jakob Pernthaler·Global Ecology and BiogeographyPeer-reviewed·Jul 1, 2026