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characterized substrate specificity and C-cycling dynamics for these OTUs. We  propose xylose and cellulose C added to soil microcosms took the following path  through the microbial food web (Figure~\ref{fig:foodweb}): fast-growing  \textit{Firmicutes} spore formers first assimilated labile xylose  C followed by \textit{Bacteroidetes}, \textit{Actinobacteria} and \textit{Proteobacteria}  phylotypes. The \textit{Bacteroidetes}, \textit{Actinobacteria} and  \textit{Proteobacteria} phylotypes may have also fed on the early labile  C xylose-C  assimilating \textit{Firmicutes}. Canonical cellulose degrading bacteria such as \textit{Cellvibrio} and members of cosmopolitan yet functionally uncharacterized soil phylogenetic groups like \textit{Chloroflexi}, \textit{Planctomycetes} and \textit{Verrucomicrobia}, specifically the \textit{Spartobacteria}, decomposed cellulose. Cellulose C incorporation into microbial biomass peaked at day 14 and was maintained through day 30. \subsection{Ecological strategies of soil microorganisms participating in the  decomposition of organic matter} 

and resources to soil. Therefore, fast growth and/or rapid resuscitation upon  wet up \citep{Placella2012} allow microorganisms to favorably compete for  labile C resources. Life history may limit the diversity of labile  C assimilators and as  life history determines growth rate and dessication resistance whereas even though  the ability to use labile C is phylogenetically dispersed. DNA-SIP is useful for establishing \textit{in situ} phylogenetic clustering and diversity of functional guilds because DNA-SIP can account for life history strategies by targeting active microorganisms. Additionally, snapshot estimates of community composition commonly inform soil structure-function-relationship studies \citep{Fierer2007} but labile C decomposition might not be linked to snapshot community structure. Alternatively labile C decomposition might be linked specifically to community structure \textit{dynamics}. That is, fast growing spore formers would not need to maintain high abundance to significantly mediate cycling of pulse delivered resources. This accentuates the usefulness of DNA-SIP for describing soil ecology as DNA-SIP assesses activity which can be decoupled from snapshot abundance. \subsection{Implications for soil C cycling models}  % Fakesubsubsection:Land management, climate, pollution and 

\textit{Firmicutes}. Besides predation, mother cell lysis could be the  mechanism for transferring C from spore formers to \textit{Bacteroidetes} and  \textit{Actinobacteria}. If the temporal dynamics of $^{13}$C-xylose  incorporation are due to trophic interactions predatory bacteria or saprophytes saprophytes,  consumed, many, if not most, fast-growing labile C degraders. Hence, soil C cycling models should include trophic interactions between soil bacteria but rarely do (e.g. \citep{Moore1988}). % Fakesubsubsection:We propose two scenarios whereby community  We propose two scenarios in the context of our results whereby community 

\textit{Firmicutes}. Our results suggest that, cosmopolitan  \textit{Spartobacteria} may degrade cellulose on a global scale, bacterial  tropic interactions can significantly impact soil C cycling, and life history  constrains ecological strategies such as fast growth constrain  functional guild diversity for labile C decomposition.        

% Fakesubsubsection:A temporal cascade occurs in natural microbial  This study aimed to observe labile C versus polymeric C assimilation dynamics  in the soil microbial community. We Io soil microcosms we  added a  mixture of nutrients and C substratesto soil microcosms  that simulated the composition of plant biomass. All microcosms received the same C substrate mixture where the only difference between treatments was the identity of the isotopically labeled substrate. Specifically, we set up a series of microcosms with three treatments: in one treatment xylose was substituted for its $^{13}$C-equivalent, in another cellulose was substituted for its $^{13}$C-equivalent, and in the third treatment all substrates in the mixture were unlabeled. We harvested microcosms from each treatment at days 3, 7, 14 and 30 and additionally harvested microcosms receiving $^{13}$C-xylose and unlabeled substrates on day 1. We chose to label xylose and cellulose to contrast labile C and polymeric C decomposition, respectively. Post incubation, we sequenced 16S rRNA genes from SIP density fractions with high throughput DNA sequencing technology. Our experimental design allowed us to observe the soil microbial community members that assimilated xylose-C and cellulose-C over time.        

$^{13}$C-xylose responders are generally more abundant members based on  relative abundance in bulk DNA SSU rRNA gene content than $^{13}$C-cellulose  responders (Figure~\ref{fig:shift}, P-value 0.00028, Wilcoxon Rank Sum test).  However, $^{13}$C-xylose and $^{13}$C-cellulose responders included  both abundant and rare OTUsresponded to $^{13}$C-xylose and  $^{13}$C-cellulose  (Figure~\ref{fig:shift}). Two $^{13}$C-cellulose responders were not found in any bulk samples (``OTU.862'' and ``OTU.1312'', Table~\ref{tab:cell}). Of the 10 most abundant responders, 8 are $^{13}$C-xylose responders and 6 of these 8 are consistently among the 10 most abundant OTUs in bulk samples. % Fakesubsubsection:Cellulose responders exhibited a greater shift in BD  Cellulose responder Cellulose-responder-DNA  buoyant density (BD) shifted further along the density gradient than xylose responder xylose-responder-DNA  BD in response to $^{13}$C incorporation (Figure~\ref{fig:c1}, Figure~\ref{fig:shift}, P-value 1.8610x$^{-06}$, Wilcoxon  Rank Sum test). $^{13}$C-cellulose responder $^{13}$C-cellulose-responder-DNA  BD shifted on average 0.0163 g mL$^{-1}$ (sd 0.0094) whereas xylose responder BD shifted on average  0.0097 g mL$^{-1}$ (sd 0.0094). For reference, 100\% $^{13}$C DNA BD is 0.04  g mL$^{-1}$ greater than the BD of its $^{12}$C counterpart. DNA BD increases 

Supplemental~Note~XX). We predicted the \textit{rrn} gene copy number for each  OTU as described previously \citep{Kembel_2012}. The estimated  \textit{rrn} gene copy number for $^{13}$C-xylose responders was inversely  related to time point of the first response per for each  OTU (P-value 2.02x10$^{-15}$, Figure~\ref{fig:copy}). OTUs that did not respond at day  1 respond but did respond at day 3 and/or day 7 had fewer estimated  \textit{rrn} copy number than OTUs that responded at day 1