|
|
Basic DNA Methods
Red Layer Microbial Observatory Using Microbial Diversity and Biotechnology to Enhance Learning |
National Science
Foundation |
|
Introduction Given that most
RLMO bacteria cannot be grown in the lab, we study DNA isolated from these
communities. Although some labs study whole
genomes (sort of like the Human Genome Project), we describe small pieces of
DNA – specifically, a segment called the 16S gene. This gene is studied and compared by MANY
microbiologists. The 16S gene, found
in all bacteria, contributes to the protein-building ribosome. DNA sequences from different 16S genes
contain some regions that are similar and others that are not. In addition to telling us about who lives
in RLMO communities, 16S sequences suggest environmental factors that may
select certain organisms at different sites, and provide insight into the
evolution and natural history of these communities. Hypotheses
Tested (1998-2000) The main red
layer bacterium is a new member of the Chloroflexi phylum – possibly an
entirely new species. These new
Chloroflexi bacteria are more widely distributed in Objectives (1998-2000) (1) To
isolate and describe PCR-amplified 16S genes from Yellowstone RLMO
communities (2) To perform extensive surveys throughout (3) To archive and share these data via our
on-line RLMO database
General Methods Description Following sample collection, we extract genomic DNA by
breaking open the bacteria using a bead-beating machine. As with other
kinds of samples, the DNA is then purified using organic solvents, alcohol,
and salt. Next, we use PCR (Polymerase Chain Reaction) to copy JUST the
16S genes. We next have to
clone the 16S genes in order to produce enough DNA for sequence
analysis. Cloning means pasting individual 16S genes into a
mini-chromosome that can be grown in E. coli. Finally, we
determine the DNA sequence of each 16S gene using our Li-Cor sequencer. Using a variety of software (e.g. BLAST,
PAUP), we identify sequences and build evolutionary trees to study the
relationships between many sequences.
Important acknowledgements for bringing these methods to my lab go
to: Brian Hedlund (UNLN), Bryan Dutton
(WOU), and Danny Lodge (former research assistant, WOU). Click here for technical information about: Query the
RLMO Database for Current DNA Sequence Information! |