
Lateral genetic transfer (LGT) is one of the ways in which microorganisms such as bacteria could move and rearrange genetic materials from and into their genomes (Ragan and Beiko, 2009). The dissemination of antibiotic resistance genes between two microorganisms or between a microorganism and the environment could occur, for example, by conjugation, transduction, and transformation (Fondi and Fani, 2010; Stokes and Gillings, 2011). Therefore, having a resistance gene or genes on a mobile element like plasmids and genomic islands, transposons, integrons, or integrative conjugative elements will facilitate their overall distribution, which will affect among other organisms, humans and more specifically their health and survival (Stokes and Gillings, 2011). This fact, made the selection for antibiotic resistance a crucial step in microorganism's selective evolution (Waksman and Woodruff, 1940). However, even though this selection is enhanced and accelerated by the use of antibiotics (Hegreness et al., 2008), the acquisition of a new genetic material is balanced by mechanisms that restrict DNA uptake (Navarre et al., 2006; Palmer and Gilmore, 2010). One of these mechanisms is the clustered regularly interspaced short palindromic repeat (CRISPR) (van der Oost et al., 2009), which was found to be negatively related to the number of acquired resistant genes in a Enterococcus faecalis (Palmer and Gilmore, 2010).
conscious, GC content, adaptation, Environmental stress, Microbiology, Bacterial resistance, QR1-502
conscious, GC content, adaptation, Environmental stress, Microbiology, Bacterial resistance, QR1-502
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
