Gluconobacter aidae sp. nov., an acetic acid bacterium isolated from tropical fruits in Thailand

Complete genome sequence of Gluconobacter frateurii ML.ISBL3, an endophytic strain isolated from aerial roots of Syngonium podophyllum

The endophytic strain Gluconobacter frateurii ML.ISBL3 was isolated from aerial roots of Syngonium podophyllum in Hong Kong. Its complete genome, established through hybrid assembly, comprises a single chromosome of 3,309,710 bp (56.30% G+C).

Latest Trends in Industrial Vinegar Production and the Role of Acetic Acid Bacteria: Classification, Metabolism, and Applications-A Comprehensive Review

Vinegar is one of the most appreciated fermented foods in European and Asian countries. In industry, its elaboration depends on numerous factors, including the nature of starter culture and raw material, as well as the production system and operational conditions. Furthermore, vinegar is obtained by the action of acetic acid bacteria (AAB) on an alcoholic medium in which ethanol is transformed into acetic acid. Besides the highlighted oxidative metabolism of AAB, their versatility and metabolic adaptability make them a taxonomic group with several biotechnological uses. Due to new and rapid advances in this field, this review attempts to approach the current state of knowledge by firstly discussing fundamental aspects related to industrial vinegar production and then exploring aspects related to AAB: classification, metabolism, and applications. Emphasis has been placed on an exhaustive taxonomic review considering the progressive increase in the number of new AAB species and genera, especially those with recognized biotechnological potential.

16S ribosomal RNA-depletion PCR and its application in cause analysis of yogurt package shrinkage

Fermentative bacteria, the main microbiota in yogurt, interfere with the detection of unintended bacterial contaminants. The removal of fermentative bacteria and enrichment of unintended bacterial contaminants is a challenging task in bacterial detection. The present study developed a new 16S rRNA-depletion PCR for such enrichment and detection. Specifically, a single-guide RNA was designed and synthesized based on the 16S rRNA sequence of Streptococcus thermophilus, with the highest DNA abundance in the yogurt. The CRISPR-Cas9 system was used to specifically cleave and remove the genomic DNA of the fermentative bacteria, followed by PCR amplification. This method improved the detection sensitivity, simplified the operation steps, and reduced the detection cost of PCR analysis. We also used the 16S rRNA-depletion PCR to amplify and detect the unintended bacterial contaminants in yogurts with shrunken packages and analyzed the underlying reasons to prevent this issue of product quality.

Genome-Inferred Correspondence between Phylogeny and Metabolic Traits in the Wild Drosophila Gut Microbiome

Annotated genome sequences provide valuable insight into the functional capabilities of members of microbial communities. Nevertheless, most studies on the microbiome in animal guts use metagenomic data, hampering the assignment of genes to specific microbial taxa. Here, we make use of the readily culturable bacterial communities in the gut of the fruit fly Drosophila melanogaster to obtain draft genome sequences for 96 isolates from wild flies. These include 81 new de novo assembled genomes, assigned to three orders (Enterobacterales, Lactobacillales, and Rhodospirillales) with 80% of strains identified to species level using average nucleotide identity and phylogenomic reconstruction. Based on annotations by the RAST pipeline, among-isolate variation in metabolic function partitioned strongly by bacterial order, particularly by amino acid metabolism (Rhodospirillales), fermentation, and nucleotide metabolism (Lactobacillales) and arginine, urea, and polyamine metabolism (Enterobacterales). Seven bacterial species, comprising 2-3 species in each order, were well-represented among the isolates and included ≥5 strains, permitting analysis of metabolic functions in the accessory genome (i.e., genes not present in every strain). Overall, the metabolic function in the accessory genome partitioned by bacterial order. Two species, Gluconobacter cerinus (Rhodospirillales) and Lactiplantibacillus plantarum (Lactobacillales) had large accessory genomes, and metabolic functions were dominated by amino acid metabolism (G. cerinus) and carbohydrate metabolism (La. plantarum). The patterns of variation in metabolic capabilities at multiple phylogenetic scales provide the basis for future studies of the ecological and evolutionary processes shaping the diversity of microorganisms associated with natural populations of Drosophila.

Characterization of novel Gluconobacter species from fruits and fermented food products: Gluconobacter cadivus sp. nov., Gluconobacter vitians sp. nov. and Gluconobacter potus sp. nov

Strains LMG 1744^T, LMG 1745, LMG 31484^T, LMG 1764^T and R-71646 were isolated from rotting fruits and fermented food products. A phylogenomic analysis based on 107 single-copy core genes revealed that they grouped in a Gluconobacter lineage comprising Gluconobacter oxydans, Gluconobacter roseus, Gluconobacter sphaericus, Gluconobacter kanchanaburiensis, Gluconobacter albidus, Gluconobacter cerevisiae, Gluconobacter kondonii and Gluconobacter aidae. OrthoANIu and digital DNA hybridization analyses demonstrated that these five strains represented three novel Gluconobacter species, which could be differentiated from the type strains of closely related Gluconobacter species by multiple phenotypic characteristics. We therefore propose to classify strains LMG 1744^T and LMG 1745 in the novel species Gluconobacter cadivus sp. nov., with LMG 1744^T (=CECT 30141^T) as the type strain; to classify strain LMG 31484^T as the novel species Gluconobacter vitians sp. nov., with LMG 31484^T (=CECT 30132^T) as the type strain; and to classify strains LMG 1764^T and R-71646 in the novel species Gluconobacter potus sp. nov., with LMG 1764^T (=CECT 30140^T) as the type strain.