bioRxiv Science⌕ Search

Biology subjects

Kawarai, T.

Publications and source records attributed to Kawarai, T..

2 recordsLinked to original sources

Metabolic outsourcing from ingested lactic acid bacteria extends Caenorhabditis elegans healthspan via bacterial amino acid and enzyme provision

Lactic acid bacteria promote longevity, yet the host-microbe metabolic mechanisms remain obscure. Using Caenorhabditis elegans, which lacks a urea cycle, we investigated how Lactococcus lactis JCM 5805 (Lc5805) extends lifespan. Live Lc5805 consumption upregulated 74 cuticle-formation genes, primarily collagens, supporting structural integrity for longevity without activating host stress responses. Multi-omics and UPLC-MS analyses revealed a dramatic accumulation of L-citrulline and L-ornithine, driven by high intestinal expression of bacterial arginine deiminase (arcA). The finding that heat-treated Lc5805 failed to induce citrulline accumulation and lifespan extension confirms that this metabolic outsourcing system, the operation of the arginine deiminase pathway, requires active metabolic and enzymatic activity by live bacteria in the gut. By utilizing bacterial metabolites and enzymes to fuel collagen maintenance, the host avoids endogenous energy expenditure. This study unveils a novel symbiotic paradigm of "Metabolic Outsourcing" governing organismal longevity.

physiology↗

TOMVi: A Tool for Overviewing Metadata Visualization

DNA sequencing technology has been improved drastically in the recent decades, which allows comprehensively analyze microbial community and gene expression. Simultaneously with the improvements, many tools and software for much amount of sequence data have been released. These analysis tools/software can produce statistic information. However, to interpret and to find the relationships and/or associations between the information and the experimental condition may be a complex task, especially for non-bioinformaticians. In this article, an open source software TOMVi (Tool for Overviewing Metadata Visualization) which visualized similarity and relationships between the samples corresponding to the experimental conditions was introduced. TOMVi allows researcher to interactively manipulate the composition data in each sample toward to each experimental condition such as location, time-series and others with graphical user interface (GUI), and to visualize the existence and behavior of each OTU. The figure illustrated by this tool can provide an intuitive suggestion but not always correct as statistically, and will be helpful to decide further analyzing tactics.\n\nThe TOMVi is available at http://github.com/Daisuke-Kyoui/tomvi.

bioinformatics↗