TGGE and DGGE are broadly useful in biomedical and ecological research; selected applications are described below.
Mutations in mtDNA According to a recent investigation by Wong, Liang, Kwon, Bai, Alper and Gropman, TGGE can be utilized to examine the
mitochondrial DNA of an individual. According to these authors, TGGE was utilized to determine two novel
mutations in the mitochondrial
genome: "A 21-year-old woman who has been suspected of mitochondrial cytopathy, but negative for common mitochondrial DNA (mtDNA) point mutations and deletions, was screened for unknown
mutations in the entire mitochondrial genome by temperature gradient gel electrophoresis".
p53 mutation in pancreatic secretions Lohr and coworkers (2001) report that in a comprehensive study of
pancreatic secretions of individuals without pancreatic
carcinoma,
p53 mutations could be found in the pancreatic juices of a small percentage of participants. Because mutations of p53 has been extensively found in pancreatic carcinomas, the researchers for this investigation were attempting to determine if the mutation itself can be linked to the development of pancreatic cancer. While Lohr was able to find p53 mutations via TGGE in a few subjects, none subsequently developed pancreatic carcinoma. Thus, the researchers conclude by noting that the p53 mutation may not be the sole indicator of pancreatic carcinoma oncogenesis.
Microbial ecology DGGE of small
ribosomal subunit coding genes was first described by
Gerard Muyzer, while he was Post-doc at
Leiden University, and has become a widely used technique in microbial ecology. PCR amplification of DNA extracted from mixed microbial communities with PCR primers specific for 16S rRNA gene fragments of
bacteria and
archaea, and 18S rRNA gene fragments of
eukaryotes results in mixtures of PCR products. Because these amplicons all have the same length, they cannot be separated from each other by agarose gel electrophoresis. However, sequence variations (i.e. differences in GC content and distribution) between different microbial rRNAs result in different denaturation properties of these DNA molecules. Hence, DGGE banding patterns can be used to visualize variations in microbial genetic diversity and provide a rough estimate of the richness of abundance of predominant microbial community members. This method is often referred to as
community fingerprinting. Recently, several studies have shown that DGGE of functional genes (e.g. genes involved in sulfur reduction, nitrogen fixation, and ammonium oxidation) can provide information about microbial function and phylogeny simultaneously. For instance, Tabatabaei et al. (2009) applied DGGE and managed to reveal the microbial pattern during the anaerobic fermentation of
palm oil mill effluent (POME) for the first time. ==References==