VISN: virus instance segmentation network for TEM images using deep attention transformer.

The identification of viruses from negative staining transmission electron microscopy (TEM) images has mainly depended on experienced experts. Recent advances in artificial intelligence have enabled virus recognition using deep learning techniques. However, most of the existing methods only perform virus classification or semantic segmentation, and few studies have addressed the challenge of virus instance segmentation in TEM images. In this paper, we focus on the instance segmentation of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) and other respiratory viruses and provide experts with more effective information about viruses. We propose an effective virus instance segmentation network based on the You Only Look At CoefficienTs backbone, which integrates the Swin Transformer, dense connections and the coordinate-spatial attention mechanism, to identify SARS-CoV-2, H1N1 influenza virus, respiratory syncytial virus, Herpes simplex virus-1, Human adenovirus type 5 and Vaccinia virus. We also provide a public TEM virus dataset and conduct extensive comparative experiments. Our method achieves a mean average precision score of 83.8 and F1 score of 0.920, outperforming other state-of-the-art instance segmentation algorithms. The proposed automated method provides virologists with an effective approach for recognizing and identifying SARS-CoV-2 and assisting in the diagnosis of viruses. Our dataset and code are accessible at https://github.com/xiaochiHNU/Virus-Instance-Segmentation-Transformer-Network.

Actinophytocola gossypii sp. nov. and Streptomyces gossypii sp. nov., two novel actinomycetes isolated from rhizosphere soil of cotton.

Two Gram-positive, aerobic and non-motile actinomycetes, designated S1-96T and N2-109T, were isolated from soils collected from a cotton field. They are described as representing two novel species of genera Actinophytocola and Streptomyces through a polyphasic approach. Analysis of 16S rRNA gene sequences revealed that strains S1-96T and N2-109T showed highest similarity to Actinophytocola xinjiangensis CGMCC 4.4663T (99.10 %) and Streptomyces iconiensis BNT558T (98.21 %), respectively. Phylogenetic analyses based on 16S rRNA and core genes confirmed the close relationships of these strains. Genomic analyses further supported the novel taxonomic delimitation of these two species based on digital DNA-DNA hybridization and average nucleotide identity. Strains S1-96T and N2-109T contained MK-9(H4) and MK-9(H6) as the most abundant menaquinone, respectively. High abundances of iso-fatty acids were detected in both strains, which was similar to their close relatives. Physiological and polar lipid analyses also revealed differences between these strains and their phylogenetic neighbours, supporting their taxonomic delimitation as novel species. The names Actinophytocola gossypii sp. nov. (type strain S1-96T=JCM 34412T=CGMCC 4.7707T) and Streptomyces gossypii sp. nov. (type strain N2-109T=JCM 34628T=CGMCC 4.7717T) are proposed.

Fermented milk of cheese-derived Lactobacillus delbrueckiisubsp.bulgaricus displays potentials in alleviating alcohol-induced hepatic injury and gut dysbiosis in mice.

An isolate of Lactobacillus delbrueckii subsp. bulgaricus (L. bulgaricus L7) with robust antioxidant capacity was screened from traditional fermented Xinjiang cheese. Here, we focused on evaluating the effect of L. bulgaricus fermented milk on acute alcoholic liver disease prevention using a mice model, with glutathione treated mice as positive control. The results showed that both fermented milk and glutathione feeding could relieve alcohol-induced oxidative stress and inflammatory responses significantly. However, fermented milk feeding seemed to hold more promise in restoring gut dysbiosis relative to glutathione. Enhanced abundance of potential pathogens, Porphyromonas sp. and Enterococcus sp., induced by alcohol was considerably attenuated by additional feeding of fermented milk. Different scenario was firstly observed when additionally fed with glutathione in this study, showing remarkably increased abundance of Bacteroides sp. and Enterococcus sp. Our results suggested the more robust capability of L. bulgaricus fermented milk in restoring alcohol-induced gut dysbiosis relative to glutathione, indicating its potential protective effects on alcohol-induced hepatic injury.

Steroidobacter gossypii sp. nov., isolated from cotton field soil.

A Gram-negative bacterium, designated S1-65T, was isolated from soil samples collected from a cotton field located in the Xinjiang region of PR China. Results of 16S rRNA gene sequence analysis revealed that strain S1-65T was affiliated to the genus Steroidobacter with its closest phylogenetic relatives being 'Steroidobacter cummioxidans' 35Y (98.4 %), 'Steroidobacter agaridevorans' SA29-B (98.3 %) and Steroidobacter agariperforans KA5-BT (98.3 %). 16S rRNA-directed phylogenetic analysis showed that strain S1-65T formed a unique phylogenetic subclade next to 'S. agaridevorans' SA29-B and S. agariperforans KA5-BT, suggesting that strain S1-65T should be identified as a member of the genus Steroidobacter. Further, substantial differences between the genotypic properties of strain S1-65T and the members of the genus Steroidobacter, including average nucleotide identity and digital DNA-DNA hybridization, resolved the taxonomic position of strain S1-65T and suggested its positioning as representing a novel species of the genus Steroidobacter. The DNA G+C content of strain S1-65T was 62.5 mol%, based on its draft genome sequence. The predominant respiratory quinone was ubiquinone-8. The main fatty acids were identified as summed feature 3 (C16:1ω6c/C16:1ω7c), C16 : 0 and iso-C15 : 0. In addition, its polar lipid profile was composed of aminophospholipid, diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylglycerol. Here, we propose a novel species of the genus Steroidobacter: Steroidobacter gossypii sp. nov. with the type strain S1-65T (=JCM 34287T=CGMCC 1.18736T).

Genomic molecular signatures determined characterization of Mycolicibacterium gossypii sp. nov., a fast-growing mycobacterial species isolated from cotton field soil.

A Gram-positive, acid-fast and rapidly growing rod, designated S2-37 T, that could form yellowish colonies was isolated from one soil sample collected from cotton cropping field located in the Xinjiang region of China. Genomic analyses indicated that strain S2-37 T harbored T7SS secretion system and was very likely able to produce mycolic acid, which were typical features of pathogenetic mycobacterial species. 16S rRNA-directed phylogenetic analysis referred that strain S2-37 T was closely related to bacterial species belonging to the genus Mycolicibacterium, which was further confirmed by pan-genome phylogenetic analysis. Digital DNA-DNA hybridization and the average nucleotide identity presented that strain S2-37 T displayed the highest values of 39.1% (35.7-42.6%) and 81.28% with M. litorale CGMCC 4.5724 T, respectively. And characterization of conserved molecular signatures further supported the taxonomic position of strain S2-37 T belonging to the genus Mycolicibacterium. The main fatty acids were identified as C16:0, C18:0, C20:3ω3 and C22:6ω3. In addition, polar lipids profile was mainly composed of diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylinositol. Phylogenetic analyses, distinct fatty aids and antimicrobial resistance profiles indicated that strain S2-37 T represented genetically and phenotypically distinct from its closest phylogenetic neighbour, M. litorale CGMCC 4.5724 T. Here, we propose a novel species of the genus Mycolicibacterium: Mycolicibacterium gossypii sp. nov. with the type strain S2-37 T (= JCM 34327 T = CGMCC 1.18817 T).