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.        

\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 difficultto 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 mostglobally  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.