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Chuck Abstract and sig edits
almost 9 years ago
Commit id: 69a97cd3c90cad421df575ef23d416f20e3d11f9
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incorporation from added $^{13}$C-xylose along with relative abundance fluctuations
of OTUs in the microcosms suggest trophic C exchange between these members of
the soil microbial community. In contrast, the microorganisms that assimilated
cellulose-C
into DNA did not change over time. Microbes that metabolized
cellulose-C belong to cosmopolitan soil lineages that remain poorly
characterized physiologically and uncultured, including:
\textit{Spartobacteria}, \textit{Chloroflexi} and \textit{Planctomycetes}.
Determining how microbial community structure impacts major C transformations
in the terrestrial C-cycle requires knowledge of microbial ecophysiology.
diff --git a/Significance.tex b/Significance.tex
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\section{Significance}
We have a limited understanding of soil carbon (C)
cycling yet soil contains a large fraction of the global Terrestrial C
pool. Microorganisms
mediate most soil C cycling but have flux is largely mediated by microbial
metabolism in soils. Characterizing the microbes involved with decomposition
has proven difficult
to study due to
the
complexity of soil C biochemistry and the wide range of soil microorganisms
participating their overwhelming diversity but understanding
microbial metabolism in
soils may improve global C
reactions. models. We
demonstrate characterized
C use dynamics
by of individual soil
microbes and show that different C forms have
distinct decomposition dynamics governed by distinct microbial
taxa. Furthermore, we identified microorganisms involved in lineages. For
example, cellulose
decomposition was decomposed by specialized slow growing microbes that
were previously uncharacterized physiologically -- cellulose belong to poorly characterized lineages found globally in soils. Cellulose is
the most
globally abundant
biopolymer. Our biopolymer worldwide and these microbes may mediate cellulose
decomposition on a global scale. These results expand
our knowledge of soil
functional guild diversity and activity which
reveal in turn inform soil
structure-function
relationships. This study is a departure from typical nucleic acid SIP studies
that focus on listing the identities of heavy isotope labeled organisms. Our
approach enables DNA-SIP to identify $^{13}$C labeled microorganisms with
greater resolution producing a better sampling of functional guilds. This not
only allows us to connect structure
function
to genetic identity but also allows us to
assess functional guild diversity and uncover ecological strategies. Further,
we demonstrate how substrate specificity can be assessed from DNA-SIP data. relationships.