Luteolibacter ambystomatis sp. nov., isolated from the skin of an Anderson’s salamander (Ambystoma andersoni)

A bacterial strain designated 32AT was isolated from the skin of an Anderson’s salamander (Ambystoma andersoni) and subjected to a comprehensive taxonomic study. The strain was Gram-stain-negative, rod-shaped, non-motile, oxidase- and urease-negative, and catalase-positive. 16S rRNA gene sequence comparisons placed the strain in the genus Luteolibacter with highest sequence similarities to Luteolibacter pohnpeiensis A4T-83T (95.2%), Luteolibacter gellanilyticus CB-286403T (95.1%) and Luteolibacter cuticulihirudinis E100T (94.9%). Genomic sequence analysis revealed a size of 5.3 Mbp, a G+C-content of 62.2 mol% and highest ANI values with Luteolibacter luteus (71.2%), Luteolibacter yonseiensis (71.4%) and L. pohnpeiensis (69.5%). In the polyamine pattern, 1,3-diaminopropane and spermidine were predominant. The diagnostic diamino acid of the peptidoglycan was meso-diaminopimelic acid. The quinone system was composed of the major menaquinones MK-9 and MK-10. Major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, the unidentified aminolipid AL2, the unidentified phospholipid PL2 and the unidentified aminophospholipid APL1. The fatty acid profile contained major amounts of iso-C14:0, iso-C16:0, C16 : 0 and C16 : 1 ω9c. In addition, C14 : 0, C15:0, anteiso-C15 : 0, summed feature 2 (C14 : 0 3OH and/or iso-C16 : 0 I), and the hydroxylated fatty acids iso-C14 : 0 3OH, iso-C16 : 0 3OH and C16 : 0 3-OH were detected. Physiologically, strain 32AT is distinguishable from its next relatives. Based on phylogenetic, genomic, physiological and chemotaxonomic data, strain 32AT represents a novel species of the genus Luteolibacter for which we propose the name Luteolibacter ambystomatis sp. nov. The type strain is 32AT (=CCM 9141T=LMG 32214T).

Cohnella cholangitidis sp. nov., a novel species of the genus Cohnella isolated from a clinical specimen in Korea

A Gram-positive, aerobic, rod-shaped bacterium, designated as strain 1605-214T, was isolated from the blood sample of a patient with cholangitis. Based on its 16S rRNA gene sequence, the strain 1605-214T belonged to the genus Cohnella and exhibited 97.9% sequence identity with Cohnella luojiensis DSM 24270T (GQ214052). DNA–DNA hybridization, digital DNA–DNA hybridization, and average nucleotide identity values between the two species were 23% ± 1.9, 21.1%, and 77.2%, respectively. The cellular fatty acids of strain 1605-214T were mainly comprised of anteiso-C15:0 (36.1%), iso-C16:0 (16.5%), and C16:0 (15.1%). The predominant quinone was menaquinone-7; predominant polar lipids were diphosphatidylglycerol, phosphatidylethanolamine, and aminophospholipid-1. The cell wall peptidoglycan of strain 1605-214T contained meso-diaminopimelic acid. DNA G + C content of strain 1605-214T was 50.6 mol%. 5187 genes out of a total of 5413 (94.6%) were assigned putative functions using eggNOG v5.0. Based on genotypic characteristics and genomic sequence analysis results, strain 1605-214T was confirmed to represent a novel species of genus Cohnella, for which the name Cohnella cholangitidis sp. nov., was proposed.

Predicting Chromosome Flexibility from the Genomic Sequence Based on Deep Learning Neural Networks

Background: The open and accessible regions of the chromosome are more likely to be bound by transcription factors which are important for nuclear processes and biological functions. Studying the change of chromosome flexibility can help to discover and analyze disease markers and improve the efficiency of clinical diagnosis. Current methods for predicting chromosome flexibility based on Hi-C data include the flexibility-rigidity index (FRI) and the Gaussian network model (GNM), which have been proposed to characterize chromosome flexibility. However, these methods require the chromosome structure data based on 3D biological experiments, which is time-consuming and expensive. Objective: Generally, the folding and curling of the double helix sequence of DNA have a great impact on chromosome flexibility and function. Motivated by the success of genomic sequence analysis in biomolecular function analysis, we hope to propose a method to predict chromosome flexibility only based on genomic sequence data. Method: We propose a new method (named "DeepCFP") using deep learning models to predict chromosome flexibility based on only genomic sequence features. The model has been tested in the GM12878 cell line. Results: The maximum accuracy of our model has reached 91%. The performance of DeepCFP is close to FRI and GNM. Conclusion: The DeepCFP can achieve high performance only based on genomic sequence.

Genomic Sequence Analysis of Methicillin- and Carbapenem-Resistant Bacteria Isolated from Raw Sewage

The reasons for the increasing prevalence of antibiotic-resistant infections are complex and associated with myriad clinical and environmental processes. Wastewater treatment plants operate as nexuses of bacterial interaction and are known hot spots for genetic exchange between bacteria, including antibiotic resistance genes.

Biochemical characterization of a recombinant acid phosphatase from Acinetobacter baumannii

Genomic sequence analysis of Acinetobacter baumannii revealed the presence of a putative Acid Phosphatase (AcpA; EC 3.1.3.2). A plasmid construct was made, and recombinant protein (rAcpA) was expressed in E. coli. PAGE analysis (carried out under denaturing/reducing conditions) of nickel-affinity purified protein revealed the presence of a near-homogeneous band of approximately 37 kDa. The identity of the 37 kDa species was verified as rAcpA by proteomic analysis with a molecular mass of 34.6 kDa from the deduced sequence. The dependence of substrate hydrolysis on pH was broad with an optimum observed at 6.0. Kinetic analysis revealed relatively high affinity for PNPP (Km = 90 μM) with Vmax, kcat, and Kcat/Km values of 19.2 pmoles s-1, 4.80 s-1(calculated on the basis of 37 kDa), and 5.30 x 104 M-1s-1, respectively. Sensitivity to a variety of reagents, i.e., detergents, reducing, and chelating agents as well as classic acid phosphatase inhibitors was examined in addition to assessment of hydrolysis of a number of phosphorylated compounds. Removal of phosphate from different phosphorylated compounds is supportive of broad, i.e., ‘nonspecific’ substrate specificity; although, the enzyme appears to prefer phosphotyrosine and/or peptides containing phosphotyrosine in comparison to serine and threonine. Examination of the primary sequence indicated the absence of signature sequences characteristic of Type A, B, and C nonspecific bacterial acid phosphatases.

Intranasal Infection of Ferrets with SARS-CoV-2 as a Model for Asymptomatic Human Infection

Ferrets were experimentally inoculated with SARS-CoV-2 (severe acute respiratory syndrome (SARS)-related coronavirus 2) to assess infection dynamics and host response. During the resulting subclinical infection, viral RNA was monitored between 2 and 21 days post-inoculation (dpi), and reached a peak in the upper respiratory cavity between 4 and 6 dpi. Viral genomic sequence analysis in samples from three animals identified the Y453F nucleotide substitution relative to the inoculum. Viral RNA was also detected in environmental samples, specifically in swabs of ferret fur. Microscopy analysis revealed viral protein and RNA in upper respiratory tract tissues, notably in cells of the respiratory and olfactory mucosae of the nasal turbinates, including olfactory neuronal cells. Antibody responses to the spike and nucleoprotein were detected from 21 dpi, but virus-neutralizing activity was low. A second intranasal inoculation (re-exposure) of two ferrets after a 17-day interval did not produce re-initiation of viral RNA shedding, but did amplify the humoral response in one animal. Therefore, ferrets can be experimentally infected with SARS-CoV-2 to model human asymptomatic infection.

Degradation and Detoxification of Aflatoxin B1 by Tea-Derived Aspergillus niger RAF106

Microbial degradation is an effective and attractive method for eliminating aflatoxin B1 (AFB1), which is severely toxic to humans and animals. In this study, Aspergillus niger RAF106 could effectively degrade AFB1 when cultivated in Sabouraud dextrose broth (SDB) with contents of AFB1 ranging from 0.1 to 4 μg/mL. Treatment with yeast extract as a nitrogen source stimulated the degradation, but treatment with NaNO3 and NaNO2 as nitrogen sources and lactose and sucrose as carbon sources suppressed the degradation. Moreover, A. niger RAF106 still degraded AFB1 at initial pH values that ranged from 4 to 10 and at cultivation temperatures that ranged from 25 to 45 °C. In addition, intracellular enzymes or proteins with excellent thermotolerance were verified as being able to degrade AFB1 into metabolites with low or no mutagenicity. Furthermore, genomic sequence analysis indicated that the fungus was considered to be safe owing to the absence of virulence genes and the gene clusters for the synthesis of mycotoxins. These results indicate that A. niger RAF106 and its intracellular enzymes or proteins have a promising potential to be applied commercially in the processing and industry of food and feed to detoxify AFB1.

Genomic sequence analysis of Dissulfurirhabdus thermomarina SH388 and proposed reassignment to Dissulfurirhabdaceae fam. nov.

Here, we report the draft genome sequence of Dissulfurirhabdus thermomarina SH388. Improved phylogenetic and taxonomic analysis of this organism using genome-level analyses supports assignment of this organism to a novel family within the phylum Desulfobacterota. Additionally, comparative genomic and phylogenetic analyses contextualize the convergent evolution of sulfur disproportionation and potential extracellular electron transfer in this organism relative to other members of the Desulfobacterota.