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Ribosome Profiling Reveals the Fine-tuned Response of to Mild and Severe Acid Stress

Overview
Journal mSystems
Specialty Microbiology
Date 2023 Nov 1
PMID 37909716
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Abstract

Bacteria react very differently to survive in acidic environments, such as the human gastrointestinal tract. is one of the extremely acid-resistant bacteria and has a variety of acid-defense mechanisms. Here, we provide the first genome-wide overview of the adaptations of K-12 to mild and severe acid stress at both the transcriptional and translational levels. Using ribosome profiling and RNA sequencing, we uncover novel adaptations to different degrees of acidity, including previously hidden stress-induced small proteins and novel key transcription factors for acid defense, and report mRNAs with pH-dependent differential translation efficiency. In addition, we distinguish between acid-specific adaptations and general stress response mechanisms using denoising autoencoders. This workflow represents a powerful approach that takes advantage of next-generation sequencing techniques and machine learning to systematically analyze bacterial stress responses.

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References
1.
Schmittgen T, Livak K . Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 2008; 3(6):1101-8. DOI: 10.1038/nprot.2008.73. View

2.
Gruning B, Dale R, Sjodin A, Chapman B, Rowe J, Tomkins-Tinch C . Bioconda: sustainable and comprehensive software distribution for the life sciences. Nat Methods. 2018; 15(7):475-476. PMC: 11070151. DOI: 10.1038/s41592-018-0046-7. View

3.
Kannan G, Wilks J, Fitzgerald D, Jones B, BonDurant S, Slonczewski J . Rapid acid treatment of Escherichia coli: transcriptomic response and recovery. BMC Microbiol. 2008; 8:37. PMC: 2270276. DOI: 10.1186/1471-2180-8-37. View

4.
Sandberg T, Pedersen M, LaCroix R, Ebrahim A, Bonde M, Herrgard M . Evolution of Escherichia coli to 42 °C and subsequent genetic engineering reveals adaptive mechanisms and novel mutations. Mol Biol Evol. 2014; 31(10):2647-62. PMC: 4166923. DOI: 10.1093/molbev/msu209. View

5.
Schmidt A, Kochanowski K, Vedelaar S, Ahrne E, Volkmer B, Callipo L . The quantitative and condition-dependent Escherichia coli proteome. Nat Biotechnol. 2015; 34(1):104-10. PMC: 4888949. DOI: 10.1038/nbt.3418. View