Lactococcus lactis subsp. lactis boosts stress resistance and host defense mechanisms in Caenorhabditis elegans.
Published In: Journal of Applied Microbiology, 2025, v. 136, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ali, Mohammad Shaokat; Ahmed, Shamima; Tanimoto, Yoshihiko; Wada, Takayuki; Kage-Nakadai, Eriko 3 of 3
Abstract
Aims To investigate the effects of Lactococcus lactis subsp. lactis strains LL100933 and LL12007 on the host defense mechanisms of Caenorhabditis elegans against pathogenic infections and stressors. Methods and results Caenorhabditis elegans fed a 1:1 mixture of Escherichia coli OP50 and LL100933 (OP50 + LL100933) or E. coli OP50 and LL12007 (OP50 + LL12007) had significantly higher survivability than the control diet (OP50). Moreover, when OP50 + LL100933 and OP50 + LL12007 were fed to C. elegans deficient in daf-16 and pmk-1 , survival did not exceed that of control-fed worms under Salmonella infection. Therefore, these strains may enhance the survivability of C. elegans through the p38 MAPK and DAF-16-related pathways. Gene expressions responsible for these enhanced defense responses were estimated using RNA sequencing and gene ontology analysis. The test groups showed significant upregulation of glutathione S-transferase (gsto-1, gst-5 , and gst-17), UDP-glucuronyl transferase (ugt-13, ugt-16 , and ugt-21), heme-responsive (hrg-4), invertebrate-type lysozyme (ilys-2), and C-type lectin (clec-52) genes compared to those in the control group. Conclusion Lactococcus lactis subsp. lactis LL100933 and LL12007 strains demonstrated promising benefits as probiotics for enhancing host defense mechanisms in C. elegans. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Applied Microbiology. 2025/01, Vol. 136, Issue 1, p1
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2025
- ISSN:1364-5072
- DOI:10.1093/jambio/lxaf016
- Accession Number:182905296
- Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.