Gram

Abstract: Four major mechanisms account for the evolution of bacterial resistance to antibiotics that correlates with the use of the drugs: (i) emergence of \"new\" opportunistic pathogenic soil microorganisms that are often multiresistant to antibiotics (e.g., Acinetobacter spp.); (ii) emergence of \"new\" acquired resistance mechanisms (e.g., glycopeptide resistance in enterococci); (iii) occurrence of mutations in genes located in the host chromosome (e.g., encoding DNA gyrase) or plasmid borne (e.g., for extended-spectrum ,B-lactamases); and (iv) spread of \"old\" (i.e., already known) resistance genes into \"new\" bacterial hosts (i.e., genera or species that were previously uniformly susceptible). The last mechanism has been known since the early finding that antibiotic resistance genes are often part of self-transferable plasmids or of transposable elements. However, and until recently, it was thought that this type of genetic transfer only occurred between closely related bacteria (1, 24). This review will focus on two recent notions: (i) the transfer of antibiotic resistance genes in natural environments can occur between phylogenetically distant bacterial genera, in particular between gram-positive and gram-negative bacteria; and (ii) conjugation is a mechanism of transfer of genetic information with a very broad host range.

Abstract: corresponding minimum and maximum values extracted from training data points classified as . In other words, for all channel-pairs, if any of the computed correlation values are greater (or lesser) than corresponding the maximum (or minimum) value extracted for training data points classified as ,the extent of deviation is noted. Pairwise Correlations between the feature-maps of every layer are computed using Gram matrices of various orders. In the preprocessing stage, the class-specific element-wise minimum and maximum values are noted for each of the gram-matrices.