scispace - formally typeset
Open AccessJournal ArticleDOI

Transcriptome and translatome of CO 2 fixing acetogens under heterotrophic and autotrophic conditions

Reads0
Chats0
TLDR
In this article, RNA sequencing and ribosome profiling data of four acetogens cultivated under heterotrophic and autotrophic conditions, providing data on genome-scale transcriptional and translational responses of acetogens during CO2 fixation.
Abstract
Acetogens are anaerobic bacteria that utilise gaseous feedstocks such as carbon monoxide (CO) and carbon dioxide (CO2) to synthesise biomass and various metabolites via the energetically efficient Wood-Ljungdahl pathway. Because of this pathway, acetogens have been considered as a novel platform to produce biochemicals from gaseous feedstocks, potentially replacing the conventional thermochemical processes. Despite their advantages, a lack of systematic understanding of the transcriptional and translational regulation in acetogens during autotrophic growth limits the rational strain design to produce the desired products. To overcome this problem, we presented RNA sequencing and ribosome profiling data of four acetogens cultivated under heterotrophic and autotrophic conditions, providing data on genome-scale transcriptional and translational responses of acetogens during CO2 fixation. These data facilitate the discovery of regulatory elements embedded in their genomes, which could be utilised to engineer strains to achieve better growth and productivity. We anticipate that these data will expand our understanding of the processes of CO2 fixation and will help in the designing of strains for the desired biochemical production.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine.

TL;DR: In this paper, the authors investigated whether the level of biochemical indicators helps to discriminate and classify the severity of the COVID-19 using the machine learning method and proposed a framework by integrating an enhanced new stochastic called the colony predation algorithm (CPA) with a kernel extreme learning machine (KELM).
Journal ArticleDOI

Valorization of C1 gases to value-added chemicals using acetogenic biocatalysts

TL;DR: A comprehensive overview of C1 gas conversion using acetogenic bacteria as biocatalysts and a wide range of value-added products converted from C1 gases is provided in this paper.
Journal ArticleDOI

Valorization of C1 gases to value-added chemicals using acetogenic biocatalysts

TL;DR: A comprehensive overview of C1 gas conversion using acetogenic bacteria as biocatalysts and a wide range of value-added products converted from C1 gases is provided in this paper .
Journal ArticleDOI

A review on patient-specific facial and cranial implant design using Artificial Intelligence (AI) techniques.

TL;DR: In this article, Artificial Intelligence (AI), deep learning, and machine learning techniques are studied in the design of biomedical Implants, and the main purpose of this article was to highlight important AI techniques to design PSIs.
References
More filters
Journal ArticleDOI

Methanogenic archaea: ecologically relevant differences in energy conservation.

TL;DR: In methanogens with cytochromes, the first and last steps in methanogenesis from CO2 are coupled chemiosmotically, whereas in methenogens without cyto Chromes, these steps are energetically coupled by a cytoplasmic enzyme complex that mediates flavin-based electron bifurcation.
Journal ArticleDOI

Hydrogenation of CO2 to value-added products—A review and potential future developments

TL;DR: In this article, a review paper comprehensively discusses two different processes, namely hydrocarbon and methanol synthesis, which are extensively used to convert CO2 to value-added products.
Journal ArticleDOI

Autotrophy at the thermodynamic limit of life: a model for energy conservation in acetogenic bacteria

TL;DR: The latest progress on the biochemistry and genetics of the energy metabolism of model acetogens are discussed, elucidating how these bacteria couple CO2 fixation to energy conservation.
Journal ArticleDOI

Biomass-derived syngas fermentation into biofuels: opportunities and challenges.

TL;DR: This paper critically reviews the existing literature in biomass-derived syngas fermentation into biofuels, specifically, different biocatalysts, factors affecting syngAs fermentation, and mass transfer, and outlines the major challenges of syng as fermentation, key performance index and technology road map, and discusses the further research needs.
Journal ArticleDOI

Microbiology of synthesis gas fermentation for biofuel production.

TL;DR: Syngas fermenting microorganisms possess advantageous characteristics for biofuel production and hold potential for future engineering efforts, although genetic tools for such engineering are currently unavailable.
Related Papers (3)