Sevanto, S. | Search bioRxiv

bioRxiv2019

Effects of initial microbial biomass abundance on respiration during pine litter decomposition

Microbial biomass is increasingly used to predict respiration in soil organic carbon (SOC) models. Its increased use combined with the difficulty of accurately measuring this variable points a need to directly assess the importance of microbial biomass abundance for carbon (C) cycling. To test the hypothesis that the initial microbial biomass abundance (i.e. biomass abundance on new plant litter) is a strong driver of plant litter C cycling, we manipulated biomass abundance by 10 and 100-fold dilution and composition using 12 source communities on sterile pine litter and measured respiration in microcosms for 30 days. In the first two days of microbial growth on fresh litter, a 100-fold difference in initial biomass abundance caused an average difference in respiration of nearly 300%, but the effect rapidly declined to less than 30% in 10 days and to 14% in 30 days. Parallel simulations with a soil carbon model, SOMIC 1.0, also predicted a 14% difference over 30 days, consistent with the experimental results. Model simulations predicted convergence of cumulative CO2 to within 10% in three months and within 4% in three years. Rapid microbial growth likely attenuates the effects of large initial differences in biomass abundance. In contrast, the persistence of source community as an explanatory factor in driving differences in respiration across microcosms supports the importance of microbial composition in C cycling. Overall, the results suggest that the initial abundance of microbial biomass on litter is a weak driver of C flux from litter decomposition over long timescales (months to years) when litter communities have equal nutrient availability. By extension, slight variation in the timing of microbial dispersal to fresh litter is likely to be a minor factor in long-term C flux.\n\nImportanceMicrobial biomass is one of the most common microbial parameters used in land carbon (C) cycle models, however, it is notoriously difficult to measure accurately. To understand the consequences of mismeasurement, as well as the broader importance of microbial biomass abundance as a direct driver of ecological phenomena, greater quantitative understanding of the role of microbial biomass abundance in environmental processes is needed. Using microcosms, we manipulated the initial biomass of numerous microbial communities across a 100-fold range and measured effects on CO2 production during plant litter decomposition. We found that the effects of initial biomass abundance on CO2 production was largely attenuated within a week, while the effects of community type remained significant over the course of the experiment. Overall, our results suggest that initial microbial biomass abundance in litter decomposition within an ecosystem is a weak driver of long-term C cycling dynamics.

microbiology↗

bioRxiv2019

Principles for engineering microbial composition and ecosystem functioning

Microbial probiotics are designed to improve functions in diverse ecosystems, yet probiotics often fail to have the desired beneficial effects. The introduction of probiotics to an environment with a preexisting microbiome is analogous to an invasion event, but is rarely considered in this light. Here, we tested the relative importance of propagule pressure (inoculation dose and frequency) compared to biotic interactions (composition of introduced and resident communities) in driving microbial composition and functional outcomes following microbial community invasions in experimental microcosms. Ecosystem functioning was assessed through measurements of CO2 production and DOC (dissolved organic carbon) accumulation, an activity and an environmental modification metric, respectively. Further, to test the dependence of propagule pressures versus biotic interactions was dependent on environmental context, experiments were performed on two different substrates, R2A agar and plant litter. In both environments, we found that biotic interactions were more important than propagule pressure in driving microbial composition. Moreover, bacteria were more successful invaders than fungi. While successful invasion is a first step, ultimately the success of microbial invasions in microbiome engineering applications is measured by the impact on ecosystem functioning. As with shaping the microbiome composition, biotic interactions were key to functional outcomes, but the magnitude of the functional impact varied by environment. Identifying general principles that determine the community composition and functioning following microbial invasions is key to efficient community engineering.\n\nSignificanceWith increasing frequency humans are introducing new microbes into pre-existing microbiomes to alter functioning. Examples include, modification of microflora in human guts for better health, and soil for food security and/or climate management. Probiotic applications are often approached as trial-and-error endeavors and have mixed outcomes. We propose that increased success in microbiome engineering may be achieved by better understanding of microbial invasions. We conducted a microbial community invasion experiment, to test the relative importance of propagule pressure and biotic interactions in driving microbial community composition and ecosystem functioning in microcosms. We found that biotic interactions were more important than propagule pressure in determining the impact of microbial invasions. Furthermore, the principles for community engineering vary among organismal groups (bacteria versus fungi).

ecology↗