Aminipila terrae sp. nov., a strictly anaerobic bacterium isolated from river sediment.
Yeon Bee KimJoon Yong KimJuseok KimHye Seon SongTae Woong WhonSe Hee LeeSeungRan YooJinjong MyoungHong-Seok SonSeong-Woon RohPublished in: Archives of microbiology (2021)
In this study, aimed at investigating and characterizing river sediment bacteria, we isolated a Gram-stain-positive, rod-shaped, obligate anaerobic bacterium, strain CBA3637T, from the sediment of the Geum River. This strain grew at 10-40 °C (optimum, 30 °C), 0-1% NaCl (optimum, 0%), and pH 7-8 (optimum, pH 7). The 16S rRNA gene sequence comparison revealed Aminipila butyrica DSM 103574T to be the closest relative of strain CBA3637T (96.6-96.7% similarity); and both strains clustered together in phylogenetic analysis. The genome of strain CBA3637T was found to consist of a single chromosome (3.51 Mbp; 36.98% G + C content). Comparative genomic analysis of the strain CBA3637T with A. butyrica DSM 103574T revealed that strain CBA3637T possessed five unique pathways related to polyamine biosynthesis, lipopolysaccharide metabolism, pyrimidine metabolism, and cofactor and vitamin metabolism. Strain CBA3637T contained C14:0, C16:0, and C18:1 ω9c as the major fatty acids, and diphosphatidylglycerol as the major polar lipid. No respiratory quinone was observed. Biochemical, chemotaxonomic, and genotypic data revealed that the strain CBA3637T is a representative of a novel species within the genus Aminipila, for which the name Aminipila terrae is proposed. The type strain is CBA3637T (= KACC 21651T = DSM 110662T).
Keyphrases
- heavy metals
- fatty acid
- microbial community
- wastewater treatment
- inflammatory response
- gene expression
- machine learning
- toll like receptor
- risk assessment
- transcription factor
- electronic health record
- multidrug resistant
- artificial intelligence
- big data
- lps induced
- polycyclic aromatic hydrocarbons
- deep learning
- cell wall