A
new computational method for analyzing bacterial communities has uncovered
closely related, previously indistinguishable bacteria living in different
parts of the human mouth. The technique, developed by Marine Biological
Laboratory (MBL) scientists, provides high taxonomic resolution of bacterial
communities and has the capacity to improve the understanding of microbial
communities in health and disease.
An
important step in understanding the role of oral bacteria in health and disease
is to discover how many different kinds live in the mouths of healthy people,
and exactly where in the mouth they normally live. Using a novel computational
method called oligotyping, developed by MBL Assistant Research Scientist A.
Murat Eren, scientists analyzed gene sequence data from nine sites in the oral cavity.
The data was provided by The Human Microbiome Project (HMP), an effort of the
National Institutes of Health that produced a census of bacterial populations
from 18 body sites in more than 200 healthy individuals. DNA in these samples
was sequenced from the gene in bacteria that encodes ribosomal RNA, called the
16S rRNA gene, or 16S.
To
this point, an understanding of the biomedical significance of HMP data has
been hindered by limited taxonomic resolution. "Different species of
bacteria can have very similar 16S gene sequences, sometimes differing by only
a single DNA base in the region that was sequenced, and errors in DNA
sequencing can also create differences of one or a few DNA bases," says
the study's co-author Jessica Mark Welch, an Assistant Research Scientist at
the MBL.
While
the HMP data set has been used to identify bacteria broadly, to genus-level
groups, it has never been used to identify bacteria more precisely, to the
species level. "This genus-level grouping meant that many bacteria with
similar DNA, but very different roles in the human microbiome, were lumped
together, limiting the usefulness of the data," says Mark Welch. Using
oligotyping, Eren, Mark Welch and their colleagues Gary Borisy of the Forsyth
Institute and Susan Huse of Brown University re-analyzed the HMP 16S gene data
from dental plaque, saliva, and the surfaces of the tongue, cheek, gums, hard
palate, tonsils, and throat. They found closely related, but distinct, bacteria
living on the tongue, on the gums, and in plaque. For example, bacteria in saliva
and in hard palate, tonsils, and throat resembled the tongue bacteria, while
bacteria on the cheek were similar to bacteria on the gums.
Bacteria
from plaque below the gum-line also were detected on the tonsils, suggesting
that the tonsils provide an oxygen-free environment where these bacteria can
grow and come into contact with the human immune system. Oligotyping detected
kinds of bacteria that differed by as little as a single DNA base in the
sequence tag. These differences in the 16S gene did not change the properties
of the bacteria, but acted as markers for larger changes elsewhere in the
bacterial genome which, the researchers believe, lead to different bacterial properties
that make the bacteria prefer one part of the mouth over another.
"These
distinct bacteria were present in the data all along, but were indistinguishable
because they were so similar to each other hidden in plain sight, and revealed
by oligotyping," says Mark Welch. "This method offers a better
understanding of the distribution of precisely defined taxa within the mouth,
and demonstrates a level of ecological and functional biodiversity not previously
recognized. The ability to extract maximum information from sequencing data
opens up new possibilities for the analysis of the dynamics of the human oral
microbiome." Eren has applied the oligotyping method to improve taxonomic
resolution in other bacterial communities, including those from wastewater,
from marine sponges, and from ocean water. The
researchers say the technique has the capacity to analyze entire microbiomes,
discriminate between closely related but distinct taxa and, in combination with
habitat analysis, provide deeper insights into the microbial communities in health
and disease. "The diversity of naturally occurring bacteria continues to
impress us, and our study demonstrates that a comprehensive understanding in
microbial ecology through marker genes requires our attention to subtle
nucleotide variations," says Eren. "I anticipate that the
ecologically important information oligotyping helped us recover from the human
oral microbiome will intrigue other investigators to take a second look from
their microbiome data sets."
Posted by Tim Sandle
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