Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1216954 | ENA |
REPOSITORIES: ENA
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Project description:Cheap and renewable feedstocks such as the one carbon substrate formate are emerging for sustainable production in a growing chemical industry. By quantitatively analyzing physiology, transcriptome, proteome in chemostat cultivations in combination with computational analyses, we investigated the acetogen Acetobacterium woodii as a potential host for bioproduction from formate alone and together with autotrophic and heterotrophic co-substrates. Continuous cultivations with a specific growth rate of 0.05 h-1 on formate showed high specific substrate uptake rates (47 mmol g‑1 h‑1). Co-utilization of formate with H2, CO, CO2 or fructose was achieved without catabolite repression and with acetate as the sole metabolic product. A transcriptomic comparison of all growth conditions revealed a distinct adaptation of A. woodii to growth on formate as 570 genes were changed in their transcription. Transcriptome and proteome showed higher expression of the Wood-Ljungdahl pathway during growth on formate and gaseous substrates, underlining its function during utilization of one carbon substrates. Flux balance analysis showed varying flux levels for the WLP (0.7-16.4 mmol/g/h) and major differences in redox and energy metabolism. Growth on formate, H2/CO2, and formate+H2/CO2 resulted in low energy availability (0.20-0.22 ATP/acetate) which was increased during co-utilization with CO or fructose (0.31 ATP/acetate for formate+H2/CO/CO2, 0.75 ATP/acetate for formate+fructose). Unitrophic and mixotrophic conversion of all substrates was further characterized by high energetic efficiencies. In silico analysis of bioproduction of ethanol and lactate from formate and autotrophic and heterotrophic co-substrates showed promising energetic efficiencies (70-92%). Collectively, our findings reveal A. woodii as a promising host for flexible and simultaneous bioconversion of multiple substrates, underline the potential of substrate co-utilization to improve the energy availability of acetogens and encourage metabolic engineering of acetogenic bacteria for the efficient synthesis of bulk chemicals and fuels from sustainable one carbon substrates.
2023-03-08 | PXD026569 | Pride
Project description:In Nannochloropsis oceanica IMET1, transcript knockdown of a cytosolic carbonic anhydrase (CA2; g2018) specifically inhibited by HC resulted in ~45%, ~30% and ~40% elevation of photosynthetic oxygen evolution rate, growth rate and biomass accumulation rate under high CO2 (5% ), respectively. This CA2-knockdown mutant is demonated as M2. To probe mechanistic links underlying the mutant (M2; RNAi-knockdown line of carbonic anhydrase (CA2)) phenotypes, temporal transcriptomic profiles are compared between RNAi-knockdown line of carbonic anhydrase (CA2) and WT, at 12 h and 24h under high CO2 (5%).
2020-10-28 | GSE115445 | GEO
Project description:A new high-density oligonucleotide array of the human transcriptome (GG-H array) has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing, as well as detection of coding SNPs and non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies. Examination exon/gene expression of liver and muscle in quadraplicates using both the array technology and RNA-Seq
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