It is no surprise that antibiotics
are widely used in farming for livestock animals or their feed, and their use
has led to increased antibiotic resistance. One
way to gauge the widespread resistance in animals, and how it spreads to humans
is to keep track of the antibiotic resistance genes. The current library to
resistance genes consists of known resistance genes and new emerging genes that
have not been previously known. The technology and methods used to detect these
genes play a vital role in keeping track of this problem.
A study published in journal,
Current Opinion in Microbiology focuses on the antibiotic resistant gene detection
methods, and how they help us in tracking the spread of this epidemic. Pathogens
possessing extended spectrum beta-lactamases (ESBLs), resistance against last
line of antibiotics are becoming a huge problem. These ESBLs are mostly
isolated in humans; however, they are being discovered increasingly in animal
feeds and feces. Their transmission route is still unclear, and this is where
these gene detection methods come in to play.
Classic microbiological techniques
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| Each cluster represents an individual colony of bacteria. Different colors of each colony are different species of bacteria. |
Culturing bacteria and PCR -based techniques are becoming a thing in the
past with the increasing frequency of newly emerging genes. In bacteria
culturing, a sample is grown on a petri dish on an agar layer, and the bacteria
present in that sample are analyzed for their identity and genes. While PCR methods are excellent at detecting the known or
similar resistance genes, they fail at discovering unknown or distantly related
genes. It is scary to think that pathogens may be outrunning our technology.
Nevertheless, we are not at a complete loss.
High-throughput technologies
Metagenomic analysis is a novel
technology that is increasingly used to analyze the genomic data on antibiotic
resistance. This method looks at the entire genetic composition of an environmental
sample. Since this technique provides functional gene composition of the
pathogens, it can determine novel genomic linkages, phylogenetic information
and evolutionary profiles, which makes it easier to spot the mutating genes and
arbitrate if that particular gene belongs to a specific pathogen. Because of
this method, the way of representing antibiotic genes through Antibiotic
Resistance gene DataBase (ARDB) and Comprehensive Antibiotic Resistance
Database (CARD) has improved significantly.
References:
Allen,
H. K. (2014). Antibiotic resistance gene discovery in food-producing animals. Current
Opinion in Microbiology, 19, 25–29.
Thomas, T., Gilbert, J., &
Meyer, F. (2012). Metagenomics - a guide from sampling to data analysis. Microbial
Informatics and Experimentation, 2, 3.


