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MS carried out the isolation and identification of bacteria, also, screening and identifying of resistance genes.
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In the current work, we present GWAMAR, a tool for identifying of drug resistance-associated mutations based on comparative analysis of whole-genome sequences of closely related bacterial strains.
Here we describe a gain-of-function forward genetic approach for identifying mechanisms of resistance.
Alternative approaches to identifying biomarkers of resistance to therapy include the use of genome-wide copy number profiling microarrays to compare the patterns of copy number aberrations (CNAs) between responders and non-responders.
However, recent evidence from Europe and Latin America identified prevalences of resistance to the first-line drugs in this regimen (ethambutol and pyrazinamide) exceeding 60%, and of prothionamide exceeding 50%.
A major challenge for the field will be to develop predictive biomarkers of response, and to identify mechanisms of resistance to existing agents that can be addressed in subsequent clinical trials.
However, further analyses are needed to identify predictors of resistance among this population.
A recent report identified modes of resistance toward anti‐angiogenic therapy mediated by T lymphocytes (Chung et al, 2013).
Typically researchers have identified mechanisms of resistance in individual cases and proposed countermeasures based on the particular mechanism.
To our knowledge, only one genome scan was performed to identify QTL of resistance to coccidiosis, E. maxima [ 15].
A promising approach to overcome resistance to anti-angiogenic treatment is to identify pathways of resistance and to co-target them alongside the original target.
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