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Transcriptional Regulation of Cysteine and Methionine Metabolism in Lactobacillus paracasei FAM18149

Overview of attention for article published in Frontiers in Microbiology, June 2018
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Title
Transcriptional Regulation of Cysteine and Methionine Metabolism in Lactobacillus paracasei FAM18149
Published in
Frontiers in Microbiology, June 2018
DOI 10.3389/fmicb.2018.01261
Pubmed ID
Authors

Daniel Wüthrich, Claudia Wenzel, Tharmatha Bavan, Rémy Bruggmann, Hélène Berthoud, Stefan Irmler

Abstract

Lactobacillus paracasei is common in the non-starter lactic acid bacteria (LAB) community of raw milk cheeses. This species can significantly contribute to flavor formation through amino acid metabolism. In this study, the DNA and RNA of L. paracasei FAM18149 were sequenced using next-generation sequencing technologies to reconstruct the metabolism of the sulfur-containing amino acids cysteine and methionine. Twenty-three genes were found to be involved in cysteine biosynthesis, the conversion of cysteine to methionine and vice versa, the S-adenosylmethionine recycling pathway, and the transport of sulfur-containing amino acids. Additionally, six methionine-specific T-boxes and one cysteine-specific T-box were found. Five of these were located upstream of genes encoding transporter functions. RNA-seq analysis and reverse-transcription quantitative polymerase reaction assays showed that expression of genes located downstream of these T-boxes was affected by the absence of either cysteine or methionine. Remarkably, the cysK2-ctl1-cysE2 operon, which is associated with te methionine-to-cysteine conversion and is upregulated in the absence of cysteine, showed high read coverage in the 5'-untranslated region and an antisense-RNA in the 3'-untranslated region. This indicates that this operon is regulated by the combination of cis- and antisense-mediated regulation mechanisms. The results of this study may help in the selection of L. paracasei strains to control sulfuric flavor formation in cheese.

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The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 8 16%
Student > Doctoral Student 5 10%
Unspecified 3 6%
Student > Bachelor 3 6%
Other 8 16%
Unknown 14 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 10 20%
Unspecified 3 6%
Immunology and Microbiology 3 6%
Engineering 3 6%
Other 5 10%
Unknown 15 30%