JOURNAL ARTICLE
Physiological and genomic characterization of Lactiplantibacillus plantarum isolated from Indri indri in Madagascar.
Published In: Journal of Applied Microbiology, 2023, v. 134, n. 11. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Qiao, Nanzhen; Gaur, Gautam; Modesto, Monica; Chinnici, Fabio; Scarafile, Donatella; Borruso, Luigimaria; Marin, Antonio Castro; Spiezio, Caterina; Valente, Daria; Sandri, Camillo; Gänzle, Michael G.; Mattarelli, Paola 3 of 3
Abstract
This article focuses on the physiological and genomic characterization of three Lactiplantibacillus plantarum isolates obtained from the critically endangered lemur Indri indri in Madagascar. The isolates, recovered from fecal samples of two individuals, were closely related and genetically similar to strains from diverse fermented plant sources, suggesting acquisition via diet rather than stable gut colonization. Genomic analyses revealed that these isolates possess core genes associated with antimicrobial resistance and metabolism of phenolic compounds, such as hydroxycinnamic and hydroxybenzoic acids, which was confirmed phenotypically; this supports the role of Lp. plantarum in detoxifying plant secondary metabolites and aiding digestion in folivorous primates. The study highlights the potential importance of gut-associated microbes in primate nutrition and conservation, emphasizing that understanding wild primate microbiomes can inform ex situ conservation strategies.
Additional Information
- Source:Journal of Applied Microbiology. 2023/11, Vol. 134, Issue 11, p1
- Document Type:Article
- Subject Area:Geography and Cartography
- Publication Date:2023
- ISSN:1364-5072
- DOI:10.1093/jambio/lxad255
- Accession Number:177930632
- 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.)
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