Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9873305_1.fastq.gz | Fastqsanger.gz | |||
| SRR9873305_2.fastq.gz | Fastqsanger.gz | |||
| SRR9873306_1.fastq.gz | Fastqsanger.gz | |||
| SRR9873306_2.fastq.gz | Fastqsanger.gz | |||
| SRR9873307_1.fastq.gz | Fastqsanger.gz |
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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
Project description:Synthetic cellulolytic microbial consortia Genome sequencing
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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
Project description:Design of synthetic consortia from rice rhizosphere beneficial bacteria
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Project description:<p>Environmental co-contamination presents significant challenges. To tackle these, while microbial consortia offer advantages over single-strain approaches, such as functional redundancy and synergistic degradation, rationally designing effective synthetic microbiomes specifically for complex co-contamination scenarios remains a major challenge. Here, we utilized our advanced genome-scale metabolic modeling (GSMM) tool, SuperCC, to simulate the metabolic behavior of communities consisting of six isolated key strains under single- and multi-carbon source conditions, mimicking single-pollutant or co-contamination scenarios respectively. By integrating multi-omics data with metabolic modeling of cultured consortia, we systematically elucidated key strain interaction networks and adaptive strategies under co-contamination. This revealed that the specific secretory products of broad-spectrum resource-utilizing bacteria serve as key metabolites driving cooperation and highlighted the pivotal role of indigenous keystone strains in stabilizing and enhancing community function. Consequently, we propose a novel and rational paradigm for consortium design: DHP-Com (Degrader-Helper-Potentiator). Synthetic microbiomes constructed based on this framework exhibited enhanced ecological fitness (survival and growth) and, most importantly, substantially improved remediation performance across diverse co-contamination scenarios. Our findings advance the practical application of GSMM predictions to decipher intricate multi-pollutant/multi-strain interaction networks, offering a powerful rational framework and robust methodological tools for engineering multi-functional and effective synthetic microbiomes for complex environmental remediation.</p>
2025-11-20 | MTBLS12809 | MetaboLights
Project description:Genetic variations were successfully associated among patients with coronary artery disease using Illumina Cardiometabochip containing 1,96,725 SNPs Illumina Cardio-metabochip is a custom designed SNP microarray containing 1,96,725 SNPs designed by several GWAS and consortia
2021-01-11 | GSE109068 | GEO
Project description:<p>Ecologically derived synthetic communities can provide robust plant benefits, yet generalizable rules for assembling multifunctional consortia remain limited. We hypothesized that a “top-down” community assembled from an ecological core would yield complementary functions and resilience superior to reductionist mixes. We distilled an eight-member, Bacillus-dominated synthetic community (SynM) from a rice–duckweed agroecosystem by targeting taxa consistently shared across soil, root and shoot niches. Under greenhouse conditions, the SynM concurrently promoted rice growth and suppressed sheath blight caused by Rhizoctonia solani, reducing the final disease index by 70% without detectable phytotoxicity. Leave-one-member perturbations (Dx), combined with untargeted LC–MS profiling and qRT-PCR of biosynthetic genes, revealed a division-of-labor architecture: individual strains specialized in auxin production, siderophore-linked iron mobilization, or lipopeptide/polyketide-based antagonism. These complementary yet partially redundant contributions mapped members, metabolite pools, plant outcomes and rendered community performance resilient to single-member loss. Across Dx contrasts, the complete SynM uniquely recovered the full suite of plant-growth metabolites (e.g., indole-3-acetic acid, acetoin/2,3-butanediol) together with antimicrobial chemistries (e.g., surfactin, bacillomycin, fengycin, difficidin). We formalize an assembly heuristic, ecological core, complementary functions, redundancy check, that links ecological origin to predictable, multi-trait performance. A top-down, ecology-guided route can generate a multifunction SynM with demonstrated greenhouse efficacy and mechanistic transparency. By coupling-member perturbations with multi-omics readouts, our study provides a transferable rule for building resilient plant-associated consortia and a tractable framework for future genetic and in-plant chemical confirmations.</p>
2025-09-22 | MTBLS13022 | MetaboLights
Project description:Transposable elements (TE) have been shown to contrain functional transcription factor (TF) binding sites for long, but the extent to which TEs contribute TF binding sites is not well know. Here, we comprehensively mapped binding sites for 26 pairs of orthologous TFs, in two pairs of human and mouse cell lines (i.e., leukemia, and lymphoblast), along with epigenomic profiles representing DNA methylation and six histone modifications. We found that on average, 20% of TF binding sites were embedded in TEs. We further identified 710 TF-TE relationships in which certain TE subfamilies enriched for TF binidng sites. TE-derived TF binding peaks were also strongly associated with decreased DNA methylation and increased enhancer-associated histone marks. Most of the TE-derived TF binding sites were species-specific, but we also identified conserved binding sites. Additionally, 66% of TE-derived TF binding events were cell-type specific, associated with cell-type specific epigenetic landscape. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf To evaluate the contribution of transposable elements (TE) to transcription factor (TF) binding landscapes, we profiled ChIP-seq datasets for 26 TFs in two cell lines in human and mouse, generated by the ENCODE and MouseENCODE consortia. The epigenomic profiles were evaluated from six histone modification in each of the cell lines, also generated by the consortia. We added DNA methylation to the epigenomic profiles, using two complementary techniques, MeDIP-seq and MRE-seq. The mouse data related to this study are available through GSE57230: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57230
2014-05-09 | E-GEOD-56774 | biostudies-arrayexpress