Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1103758 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28783700_1.fastq.gz | Fastqsanger.gz | |||
| SRR28783700_2.fastq.gz | Fastqsanger.gz | |||
| SRR28783701_1.fastq.gz | Fastqsanger.gz | |||
| SRR28783701_2.fastq.gz | Fastqsanger.gz | |||
| SRR28783702_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 153 |
Similar Datasets
Project description:To effectively use methanol derived from CO2 or methane in E. coli, it is crucial to develop a fast-growing strain that can efficiently process methanol. We successfully developed a methylotrophic E. coli strain, SM6, which has a doubling time of 3.5 hours, surpassing the growth rates of typical native methylotrophs. This was achieved through evolutionary engineering that utilized dynamic copy number variation (CNV). The SM6 strain has demonstrated the ability to overcome the issue of formaldehyde-induced DNA-protein cross-linking (DPC) during its evolution, enabling rapid growth in methanol medium. Proteomics are conducted to understand the underlying metabolism / regulation change for the improved growth phenotype.
2024-04-24 | PXD051688 | Pride
Project description:Methanol, being electron-rich and derivable from methane or CO2, is a potentially renewable one-carbon (C1) feedstock for microorganisms. Although the ribulose monophosphate (RuMP) cycle used by methylotrophs to assimilate methanol differs from the typical sugar metabolism by only three enzymes, turning a non-methylotrophic organism to a synthetic methylotroph that grows to a high cell density has been challenging. Here, we reprogrammed E. coli using metabolic robustness criteria followed by laboratory evolution to establish a strain that can utilize methanol as the sole carbon source efficiently. This synthetic methylotroph alleviated a heretofore uncharacterized hurdle, DNA-protein crosslinking (DPC), by insertion sequence (IS) mediated copy number variations (CNV) and balanced the metabolic flux by mutations. Being capable of growing at a rate comparable to natural methylotrophs in a wide-range of methanol concentrations, this synthetic methylotrophic strain illustrates genome editing and evolution for microbial tropism changes, and expands the scope of biological C1 conversion.
2020-09-01 | GSE153477 | GEO
Project description:The increasing demand for non-food competitive carbon sources such as methanol for biotechnology has brought methanol-utilizing bacteria, so-called methylotrophs, to focus. The product spectrum of natural methylotrophs and their genetic accessibility is limited and as an alternative approach, the introduction of methylotrophic metabolism into a biotechnologically well-established organism, such as Escherichia coli, represents a promising concept. By performing long-term evolution over 600 days, we obtained an E. coli strain that is able to grow on methanol as its sole carbon source at rates comparable to natural methylotrophic organisms. We confirmed that the strain forms its entire biomass from methanol. Furthermore, we sequenced the genome of the evolved strain and compared it to the genome of its ancestor. Intriguingly, we found several hundreds of mutations targeting genes of various functions, such as catalysis and regulation. Like the comparison of the genome before and after evolution, the investigation of the proteome would be of high interest. Proteomics would reveal the consequences of the regulatory mutations found in the genome and provide an overall picture of the adaptations by the cell enabling it to grow on methanol. The increasing demand for non-food competitive carbon sources such as methanol for biotechnology has brought methanol-utilizing bacteria, so-called methylotrophs, to focus. The product spectrum of natural methylotrophs and their genetic accessibility is limited and as an alternative approach, the introduction of methylotrophic metabolism into a biotechnologically well-established organism, such as Escherichia coli, represents a promising concept. By performing long-term evolution over 600 days, we obtained an E. coli strain that is able to grow on methanol as its sole carbon source at rates comparable to natural methylotrophic organisms. We confirmed that the strain forms its entire biomass from methanol. Furthermore, we sequenced the genome of the evolved strain and compared it to the genome of its ancestor. Intriguingly, we found several hundreds of mutations targeting genes of various functions, such as catalysis and regulation. Like the comparison of the genome before and after evolution, the investigation of the proteome would be of high interest. Proteomics would reveal the consequences of the regulatory mutations found in the genome and provide an overall picture of the adaptations by the cell enabling it to grow on methanol.
2022-08-05 | PXD034138 | Pride
Project description:Heterologous gene expression to expand the native genetic capability of E. coli is the backbone of protein expression and metabolic engineering. The goal of this study was to determine how the identity of the heterologous gene expressed affected the host cell transcriptome. We generated a library of E. coli expressing 46 heterologous genes through an identical rhamnose inducible expression system and perform high throughput ribosome profiling.
2022-07-07 | GSE134324 | GEO
Project description:A computational model of underground metabolism and laboratory evolution experiments were employed to examine the role of enzyme promiscuity in the acquisition and optimization of growth on predicted non-native substrates in E. coli K-12 MG1655. After as few as 20 generations, the evolving populations repeatedly acquired the capacity to grow on five predicted novel substrates--D-lyxose, D-2-deoxyribose, D-arabinose, m-tartrate, and monomethyl succinate--none of which could support growth in wild-type cells. Promiscuous enzyme activities played key roles in multiple phases of adaptation. Potential mechanisms for optimizing growth on the non-native carbon sources were explored by analyzing the transcriptomes of initial and endpoint populations.
2018-05-14 | GSE114358 | GEO
Project description:Traditional protein engineering methods, such as directed evolution, while effective, are often slow and labor-intensive. Advances in machine learning and automated biofoundry present new opportunities for optimizing these processes. This study devises a protein language model-enabled automatic evolution platform, a closed-loop system for automated protein engineering within the Design-Build-Test-Learn cycle. The protein language model ESM-2 makes zero-shot prediction of 96 variants to initiate the cycle. The biofoundry constructs and evaluates these variants, and feeds the results back to a multi-layer perceptron to train a fitness predictor, which then makes prediction of second round of 96 variants with improved fitness. With the tRNA synthetase as a model enzyme, four-rounds of evolution carried out within 10 days lead to mutants with enzyme activity improved by up to 2.4-fold. Our system significantly enhances the speed and accuracy of protein evolution, driving faster advancements in protein engineering for industrial applications.
2024-12-25 | PXD058768 | Pride
Project description:Escherichia coli exhibits diauxic growth in sugar mixtures due to CRP-mediated catabolite repression and inducer exclusion related to phosphotransferase system enzyme activity. Replacement of the native crp gene with a catabolite repression mutant (referred to as crp*) alleviates diauxic effects in E. coli and enables co-utilization of glucose and other sugars. While previous studies have examined the effects of expressing CRP* mutants on the expression of specific catabolic genes, little is known about the global transcriptional effects of CRP* expression. In this study, we compare the transcriptome of E. coli W3110 (expressing wild-type CRP) to that of mutant strain PC05 (expressing CRP*) in the presence and absence of glucose.
2009-08-12 | GSE17584 | GEO
Project description:An Eschericia coli strain was constructed in which the PaeR7 restriction-modification gene complex was present under an unstable condition on a partially duplicated chromosomal region so that it may continuously attack the host genome to accelerate its evolution. This strain was grown for more than a hundred of generations through repeated cycles of saturation and dilution. The winners of this competition showed faster growth than the ancestor. Analysis of their genome and transcriptome revealed that they have acquired rearrangements in genes affecting their growth. The global expression pattern changes may have realized growth advantage during the adaptation experiment. Keywords: time course during adaptive evloution
2011-07-26 | GSE21869 | GEO
Project description:Escherichia coli exhibits diauxic growth in sugar mixtures due to CRP-mediated catabolite repression and inducer exclusion related to phosphotransferase system enzyme activity. Replacement of the native crp gene with a catabolite repression mutant (referred to as crp*) alleviates diauxic effects in E. coli and enables co-utilization of glucose and other sugars. While previous studies have examined the effects of expressing CRP* mutants on the expression of specific catabolic genes, little is known about the global transcriptional effects of CRP* expression. In this study, we compare the transcriptome of E. coli W3110 (expressing wild-type CRP) to that of mutant strain PC05 (expressing CRP*) in the presence and absence of glucose. Experiment Overall Design: Four different conditions were tested in this study: W3110 in LB medium (WT), W3110 in LB+glucose medium (WT G), PC05 in LB medium (CRP*), and PC05 in LB+glucose medium (CRP* G).
2009-08-21 | E-GEOD-17584 | biostudies-arrayexpress
Project description:Microbes able to convert gaseous one-carbon (C1) waste feedstocks are increasingly important to transition to the sustainable production of renewable chemicals and fuels. Acetogens are interesting biocatalysts since gas fermentation using Clostridium autoethanogenum has been commercialised. However, most acetogen strains need complex nutrients, display slow growth, and are not robust for bioreactor fermentations. In this work, we used three different and independent adaptive laboratory evolution (ALE) strategies to evolve the wild-type C. autoethanogenum to grow faster, without yeast extract and to be robust in operating continuous bioreactor cultures. Multiple evolved strains with improved phenotypes were isolated on minimal media with one strain, named “LAbrini”, exhibiting superior performance regarding the maximum specific growth rate, product profile, and robustness in continuous cultures. Whole-genome sequencing of the evolved strains identified 25 mutations. Of particular interest are two genes that acquired seven different mutations across the three ALE strategies, potentially as a result of convergent evolution. Reverse genetic engineering of mutations in potentially sporulation-related genes CLAU_3129 (spo0A) and CLAU_1957 recovered all three superior features of our ALE strains through triggering significant proteomic rearrangements. This work provides a robust C. autoethanogenum strain “LAbrini” to accelerate phenotyping and genetic engineering and to better understand acetogen metabolism.
2024-06-12 | PXD047330 | Pride