Altogether, these data contribute to uncover the factors that could favour L vini in the industrial fermentation which could be shared with other well adapted species and reports the first stress response genes in this bacterium Burkholderia species have different lifestyles establishing mutualist or pathogenic associations with plants and animals Changes in the ecological behavior of these bacteria may depend on genetic variations in response to niche adaptation Here, we studied 15 Burkholderia strains isolated from different environments with respect to genetic and phenotypic traits By Multilocus Sequence Analysis MLSA these isolates fell into 6 distinct groups MLSA clusters did not correlate with strain antibiotic sensitivity, but with the bacterial ability to produce antimicrobial compounds and control orchid necrosis Further, the B seminalis strain TC342R3, a mutualistic bacterium, was inoculated into orchid plants and the interaction with the host was evaluated by analyzing the plant response and the bacterial oxidative stress response in planta TC342R3 responded to plant colonization by increasing its own growth rate and by differential gene regulation upon oxidative stress caused by the plant, while reducing the plant's membrane lipid peroxidation The bacterial responses to oxidative stress were recapitulated by bacterial exposure to the herbicide paraquat We suggest that the ability of Burkholderia species to successfully establish in the rhizosphere correlates with genetic variation, whereas traits associated with antibiotic resistance are more likely to be categorized as strain specific Recently, the characteristics of prevalent bacterial pathogens causing bovine mastitis have become increasingly complicated, and many commensal or unusual bacterial species have been isolated from milk samples of cows with mastitis Strain JS20170427COW was isolated dominantly from the milk of Holstein Friesian cows with mastitis in Jiangsu province in China Colonies of this strain showed a hillock-like protrusion, with a pale-yellow color at the protrusion and a transparent edge, 4-5 mm in diameter after cultivation at 37 °C for 24 h on 5 sheep blood-enriched agar Although 16 s rRNA analysis showed the closest relationship with the family Flavobacteriaceae containing Elizabethkingia spp, Riemerella sp and Soonwooa buanensis, the bacterial species of strain JS20170427COW could not be identified adequately because it had a sequence identity of less than 95  in 16 s rRNA when compared with all the known species of the family Flavobacteriaceae Unexpectedly, both the first and re-sequencing data determined the whole genome size of strain JS20170427COW to be 269 Mb, which is different from the above three closest bacterial species Therefore, we hypothesized that strain JS20170427COW is a novel taxon of Flavobacteriaceae Further identification using conserved genes, single-nucleotide polymorphisms SNPs, phylogenetic and average nucleotide identity analyses based on whole genome data suggested that JS20170427COW was more likely to be an Elizabethkingia-like strain, but that it does not belong to the Elizabethkingia genus  https//wwwselleckchemcom/products/ve-822html  Comparison of the predicted open reading frames ORFs revealed that strain JS20170427COW encodes more special genes than Elizabethkingia species In summary, we identified a novel Flavobacteriaceae taxon showing a close relationship with Elizabethkingia subspecies, which has potential pathogenicity in bovine mastitis Black goji berry Lycium ruthenicum Murr has great commercial and nutritional values Near-infrared hyperspectral imaging NIR-HSI was used to determine total phenolics, total flavonoids and total anthocyanins in dry black goji berries Convolutional neural networks CNN were designed and developed to predict the chemical compositions These CNN models and deep autoencoder were used as supervised and unsupervised feature extraction methods, respectively Partial least squares PLS and least-squares support vector machine LS-SVM as modelling methods, successive projections algorithm and competitive adaptive reweighted sampling CARS as wavelength selection methods, and principal component analysis PCA and wavelet transform WT as feature extraction methods were studied as conventional approaches for comparison Deep learning approaches as modelling methods and feature extraction methods obtained good and equivalent performances to the conventional methods The results illustrated that deep learning had great potential as modelling and feature extraction methods for chemical compositions determination in NIR-HSI With an increased demand for camel meat, camel meat-related food products are susceptible to food fraud To effectively authenticate camel-containing foods, a novel analytical technique based on polymerase chain reaction PCR-lateral flow immunoassay LFI was developed The camel-specific PCR primers were designed to target at the mitochondrial COI gene Both of the in silico and in vitro tests confirmed that the PCR-LFI was specific A limit of detection of 01 w/w of camel meat in beef was achieved for both the raw and cooked ie boiling and deep frying meat samples This novel method was used to authenticate 20 processed camel-meat products purchased from local grocery stores in China and online Two products purchased online were identified as containing no camel meat Overall, this novel PCR-LFI method is ideal for governmental laboratories to rapidly authenticate camel-meat containing food products Rapid and precise detection of Tl+ and Pb2+ is important to prevent water poisoning and environmental pollution Gold nanoparticles AuNPs have gained focus for heavy metal ion detection but cannot yet achieve accurate quantitative analyses when Tl+ and Pb2+ coexist We propose a sensitive, flexible, and low-cost method for the qualitative and quantitative analysis of binary Tl+/Pb2+ mixtures based on AuNP sensors Partial least squares, back interval partial least squares and data fusion applied to analyze UV-Vis spectral data according to the AuNPs aggregation behavior, revealed discrete responses to the target analytes The limits of detection for Tl+ and Pb2+ in the binary mixture were 523 and 176nbsp;nM, respectively, and good linear dependence was obtained The method was successfully applied to the detection of both ions in tap and mineral water This method can reveal water poisoning and environmental pollution events to ensure drinking water safety