Mobile genetic elements are active and responsive to community context in model microbial consortium
- 1Sandia National Laboratories
Abstract
Insertion and excision of genomic islands (GIs), chromosomally-integrated mobile genetic elements (MGEs), are major sources of microbial genome plasticity and can impact gene expression and phenotype of the host organism. GI mobilization also influences microbial communities beyond the host organism as GI excision generates MGEs that can be transferred between community members through horizontal gene transfer and induction of prophages can kill host populations, which impacts community structure. Established computational methods now enable precise GI mapping in genomes, as well as highly sensitive detection of GI excision from deep-genome sequencing data. We applied these approaches to metagenomic datasets from a defined soil microbial consortium grown on glass beads under hydration stress and compared GI activity with that observed in monoculture. Under these environmentally structured community growth conditions, GI excision was more abundant and involved a broader range of host species and GI types than under isolate growth conditions. Combined analysis with metatranscriptomic and metaproteomic data identified patterns of GI gene expression associated with induction. Three GIs showed particularly high excision together with strong transcription, numerous detected proteins, and evidence of association with potential transfer particles, including phages or vesicles. These results indicate that isolate studies can miss a substantial environmentally responsive layer of GI activity. More broadly, this work establishes a framework for mining existing community multi-omic datasets to quantify dynamic genome restructuring, identify active but poorly understood GIs, and generate mechanistic hypotheses about the processes that shape microbial genome plasticity and gene flow.
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BibTeX
@misc{lowrey2026mobile,
title = {{Mobile genetic elements are active and responsive to community context in model microbial consortium}},
author = {L. C. Lowrey and J. A. Rodriguez-Ramos and A. E. Zimmerman and W. C. Nelson and J. D. Jaryenneh and K. P. Williams and K. Hofmockel and J. S. Schoeniger and C. M. Mageeney},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.08.750204},
url = {https://www.biorxiv.org/content/10.64898/2026.09.08.750204v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - Mobile genetic elements are active and responsive to community context in model microbial consortium
AU - L. C. Lowrey
AU - J. A. Rodriguez-Ramos
AU - A. E. Zimmerman
AU - W. C. Nelson
AU - J. D. Jaryenneh
AU - K. P. Williams
AU - K. Hofmockel
AU - J. S. Schoeniger
AU - C. M. Mageeney
PY - 2026
DA - 2026/09/08
PB - bioRxiv
DO - 10.64898/2026.09.08.750204
UR - https://www.biorxiv.org/content/10.64898/2026.09.08.750204v1
AB - Insertion and excision of genomic islands (GIs), chromosomally-integrated mobile genetic elements (MGEs), are major sources of microbial genome plasticity and can impact gene expression and phenotype of the host organism. GI mobilization also influences microbial communities beyond the host organism as GI excision generates MGEs that can be transferred between community members through horizontal gene transfer and induction of prophages can kill host populations, which impacts community structure. Established computational methods now enable precise GI mapping in genomes, as well as highly sensitive detection of GI excision from deep-genome sequencing data. We applied these approaches to metagenomic datasets from a defined soil microbial consortium grown on glass beads under hydration stress and compared GI activity with that observed in monoculture. Under these environmentally structured community growth conditions, GI excision was more abundant and involved a broader range of host species and GI types than under isolate growth conditions. Combined analysis with metatranscriptomic and metaproteomic data identified patterns of GI gene expression associated with induction. Three GIs showed particularly high excision together with strong transcription, numerous detected proteins, and evidence of association with potential transfer particles, including phages or vesicles. These results indicate that isolate studies can miss a substantial environmentally responsive layer of GI activity. More broadly, this work establishes a framework for mining existing community multi-omic datasets to quantify dynamic genome restructuring, identify active but poorly understood GIs, and generate mechanistic hypotheses about the processes that shape microbial genome plasticity and gene flow.
ER -