Ed Hall edited Discussion.tex  almost 10 years ago

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\section{Discussion} The goal of this study was to evaluate the effect of a shifting resource stoichiometry on the biomass pool size, diversity, and membership of planktonic and biofilm communities. Our results suggest that carbon subsidies increased bacterial biomass in both plankton and biofilm communities as predicted. Carbon subsidies also resulted in decreased algal biomass in the plankton community, but there was no signifcant change in algal biomass of the biofilm communities among resource  treatments. These changes in the bulk pool were consistent with changing relationships (commensal to competitive) between the autotrophic and heterotrophic components of the plankton communities but not neccessarily of the biofilm communities. Beyond changes in the biomass pool size of each community we further explored how shifts in C:P affected a) the diversity and membership of each community, and b) the relationship/interaction between the planktonic and biofilm communities using bacterial 16S and plastid 23S rRNA gene surveys. We found that changes in biomass pool size of the various communities were associated with changes in community structure but not neccesarrily in an intuitive manner.   This study highlights Here we highlight  three key results that we find important for understanding the assemblyand function  of aquatic biofilms. First, biofilm community richness was consistently higher than the planktonic richness. Second, for the control, C:P = 10 and C:P = 100 resource treatments the membership of the bacterial and plankton communities did not overlap but membership of the two communities in the highest C:P treatment (C:P = 500) did. Third, while carbon subsides increased the bacterial biomass pool size in both the plankton and the biofilm and decreased the algal abundance in the plankton community as hypothesized, the resource treatments did not have similar affects on membership among the two communities.  Specifically, the highest level of carbon subsidies resulted in a merging of membership in the bacterioplankton and bacteriofilm communities thatwas not observed for the analogous algal communities. This similarity  increased over time butwas only observed in  the bacterial community same membership pattern was  not in observed for  the analogous  algal communities.This is consistent with carbon subsidies affecting the heterotrophic but not the autotrophic community and the similar lack of a shift in algal abundance within the biofilm of the autotroph community.    We To address the first key result we  propose three potential mechanisms that could result in the increased diversity of the biofilm communities relative to the planktonic communities. First, it is possible that the planktonic community composition of our flow through incubators was dynamic in time. In this case sequences retrieved from the biofilm community would have a longer residence within each mesocosm relative to the planktonic community and thus the biofilm community would represent a temporally integrated sample of the organisms moving through the reactor while the plankton community would only represent the community at the moment of each individual sample. Second, the biofilm environment may disproportionately enrich for the tail of the rank-abundance distibution of the planktonic community. In this case it is probable that the biofilm would incorporate the most abundant members from the planktonic community but also select and enrich the least abundant members of planktonic community resulting in a higher level of detectable alpha-diversity. Third, the biofilm enivronment may represent more diverse habitats including multiple oxygen, nutrient and pH habitats that are not present in the planktonic environment. While none of the proposed mechanisms are orthogonal the third mechanisms is a subset of the second - i.e. the biofilm provides habitat space that does not exist in the planktonic habitat and thus enriches for certain members of the planktonic community. We evaluated the first mechanism by comparing membership among the plankton samples taken 9 days apart (t=8 and t=17). For the bacterioplankton communites while communities were dissimilar between the time points, within a treatment coommunities were more similar to each other between timepoints than any other bacterioplankton community (treatment or timepoint) and the control and two lowest carbon treatments (C:P=10 and C:P=100) separately completely from the biofilm commuities suggesting that they were not a subset of each other during that period (Figure 5). As noted the higheest carbon treatment (C:P=500) biofilm and plankton did begin to resemble each other and were as similar as any other community at the final timepoint.However, even the highest carbon treatment bacterioplankton community was more similar to itself than any other community over time. Thus,the consistency of the planktonic community composition was not highly variable among timepoints suggesting that a consistency in the flow planktonic community could not explain the higher diversity observed in the biofilm compared to the planktonic community. Rather, two results point to enrichment of planktonic community members within the biofilm. The first is the increasing similarity between the plankton and the biofilm communities over time. This suggests that selection pressure of the \textit{in situ} conditions were sufficient to alter the relative abundance of the populations within each community. Secondly, a comparison of the rank abundance profiles of each (biofilm and plankton) community (Figure 6) shows that the majority of the OTUs that are not in the top 100 most abundant members of the plankton routinely comprise 1 percent or more of the biofilm community. Thus the lowest abundant members of the plankton community are routinely overrepresented in the biofilm community for algae and bacteria, at all treatment levels and both timepoints where community composition was analyzed. While we did not (could not) specifically measure niche diversity within the biofilm communities our results suggest that the biofilm habitat selects for unique members of the algal and bacterial planktonic community that are in very low abundance in the planktonic habitat but readily become major components within the biofilm habitat.  Very few studies have previously evaluated the relationship among membership and or diversity of the plankton and the biofilm community. One notable study looked at biofilm formation on glass beads over X weeks and the planktonic community composition of the overlying water in high DOC boreal freshwater streams. In this study the authors found that planktonic diversity was enriched relative to biofilm diversity - the opposite of what we found in our study.   

Lower richness – a few weeds and increased stickiness (I did find a dataset on carbohydrate concentration of biofilm pellets that shows the high treatment is higher than the intermediate and lower treatments)  In summary this study shows mechanistic links between large scale community level dynamics the underlying populations level that drive them. Ulimately large scale changes in ecosystem processes are driven by composite effects of microbial communities actiing as a synthesis of physiological events embedded in a complex biotic and abiotic matrix.   This resulst is consistent with carbon subsidies affecting the heterotrophic but not the autotrophic community and the similar lack of a shift in algal abundance within the biofilm of the autotroph community.