Bacterial syntetic consortia
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA574957 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Two synthetic bacterial consortia (SC) composed by bacterial strains isolated from a natural phenanthrene-degrading consortium (CON), Sphingobium sp. AM, Klebsiella aerogenes B, Pseudomonas sp. Bc-h and T, Burkholderia sp. Bk and Inquilinus limosus Inq were grown in LMM supplemented with 200 mg/L of phenanthrene (PHN) during 72 hours in triplicate.
2021-09-09 | PXD022882 | Pride
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Project description:Bacterial consortia were enriched from original rubber wastewater sludge containing 2-MBT. These bacterial consortia were achieved by increasing 2-MBT in nitrogen-containing medium.
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Project description:The bacterial strains P. ruminicola ATCC 19189, M. elsdenii DSM 20460, B. fibrisolvens DSM 3071, E. hallii DSM 3353, R. intestinalis DSM 14610, M. formatexigens DSM 14469 and F. prausnitzii DSM 17677 were cultivated as single cultures, in pairwise cultures and full consortia. Bacteria were grown anaerobically in hungate tubes containing YCFA medium, supplemented with 0.5% wheat straw fiber or fructose as carbon sources.
2026-02-19 | PXD072222 | Pride
Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.
2020-01-14 | GSE143587 | GEO
Project description:Quorum quenching consortia Metagenome
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Project description:Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the ‘‘winner-takes-all’’ in nutrients competition. In soil, multiple species can coexist with a spatial organization. Inspired by nature, here we show that an engineered spatial segregation method can assemble stable consortia with both flexibility and precision. We create microbial swarmbot consortia (MSBC) by encapsulating subpopulations with polymeric microcapsules. The crosslinked structure of microcapsules fences microbes, but allows the transport of small molecules and proteins. MSBC method enables the assembly of various synthetic communities and the precise control over the subpopulations. These capabilities can readily modulate the division of labor and communication. Our work integrates the synthetic biology and material science to offer new insights into consortia assembly and server as foundation to diverse applications from biomanufacturing to engineered photosynthesis.
2022-07-04 | PXD034417 | Pride