Nano-sized and filterable microorganisms are thought to represent the smallest living organisms on earth and are characterized by their small size (50-400 nm) and their ability to physically pass through <0.45 µm pore size filters. They appear to be ubiquitous in the biosphere and are present at high abundance across a diverse range of habitats including oceans, rivers, soils and subterranean bedrock. Small-sized organisms are detected by culture-independent and culture-dependent approaches, with most remaining uncultured and uncharacterized at both metabolic and taxonomic levels. Consequently, their significance in ecological roles remain largely unknown. Successful isolation, however, has been achieved for some species (e.g. Nanoarchaeum equitans and "Candidatus Pelagibacter ubique"). In many instances, small-sized organisms exhibit a significant genome reduction and loss of essential metabolic pathways required for a free-living lifestyle, making their survival reliant on other microbial community members. In these cases, the nano-sized prokaryotes can only be co-cultured with their 'hosts'. This paper analyses the recent data on small-sized microorganisms in the context of their taxonomic diversity and potential functions in the environment.
Allozyme variation in 12 enzyme systems coded by 17 loci was investigated in six populations of Macrozamia, including two populations of M. parcifolia, three populations of M. pauli-guilielmi and one population of M. crassifolia from Queensland (Australia) in order to measure the levels of genetic variation. This was required to establish whether the allozyme data supports recent taxonomic treatment. Seven loci were found to be monomorphic. All species were genetically depauperate, with low levels of genetic diversity (P=17.6–35.3%,A=1.2–1.4,H e =0.02–0.11) compared with two (only) existing reports, and plants in general. Genetic differentiation among populations was high (G ST=0.47). UPGMA cluster analysis using Nei unbiased genetic distance showed M. parcifolia and M. pauli-guilielmi to be more similar genetically to each other than either is to M. crassifolia. This is concordant with groupings based on morphological characters, thus supporting the objectives of the investigation.
Periodic refractive index structures have been written in un-doped PMMA using multiple pulses of 40fs duration from a 1 kHz Ti:sapphire femtosecond laser operating at the fundamental (800nm). A refractive index change (Δn) of 5±0.5×10–4 was observed before the onset of striations.
Soil microbial respiration is derived predominantly from the turnover of carbohydrates and proteins in soil. In most agricultural ecosystems, these C compounds enter soil mainly from rhizodeposition (root exudation and turnover). Our aim was to determine how long it takes for the microbial population to reach their maximum mineralization potential after the addition of low-molecular-weight (MW) rhizodeposits to the soil. We added sugar in the form of glucose and amino acids in the form of glycine to an arable, grazed grassland, Eucalyptus forest and boreal forest soil and monitored CO2 efflux over a 6-h period. Artificial rainwater amended (zero C addition) or unamended soils were used as controls. The Michaelis–Menten substrate utilization profiles showed vastly different patterns of microbial mineralization capacity and substrate affinity between the soils. However, in all soils we showed that activation of the soil microbial community to C addition occurred almost instantaneously (⩽60s) with the average time taken to reach half maximal CO2 production being 14±8min for glucose and 10±8min for glycine. After reaching their maximal mineralization potential, the rate of CO2 evolution remained constant for the remainder of the experiment. Our results showed that while substrate uptake and mineralization within the soil microbial biomass was activated quickly, subsequent adaptation and upregulation of its C processing capacity did not occur at least in the short term. The fast rate of microbial activation and substrate use we partially attribute to the large degree of functional redundancy that exists within the soil microbial community for processing rhizodeposits.
We successfully co-composted catering waste with green waste and shredded paper to yield two high-nitrogen composts for use in horticulture. Sunflowers (Helianthus annuus L.) were grown in various mixtures of the compost and a commercially available peat-based compost to assess the efficacy of catering waste-based composts for peat replacement. Height, head diameter, seed mass and above-ground biomass were measured, with all mixtures giving a significant increase in yield or size over the commercially available peat-free control compost. We conclude that differences in physical structure governed sunflower growth over substrate chemistry, and none of the compost mixtures were nutrient deficient. We recommend that catering waste co-compost can be substituted to at least 75% within Sphagnum-based traditional growing media, providing a viable replacement for a large proportion of peat used as a growth medium in the horticulture industry. Our catering waste compost yielded similar seed head, seed mass and above-ground biomass values to 100% peat-based compost in all food waste compost blends tested in this study.
&lt;p&gt;Urine patches in grassland ecosystems present unique environments where extreme nitrogen (N) loading occurs. This results in N losses into the atmosphere or leaching from soil. N losses vary due to climate conditions, soil conditions, and management practices. However, we do not fully understand how these factors influence N cycling and nitrous oxide (N&lt;sub&gt;2&lt;/sub&gt;O) emissions from urine patches. Much of the current literature on urine patch N cycling has focused on typical lowland agricultural systems. Very little work has explored other grazing systems, such as upland farming which is conducted across much of Wales. We have investigated this by using a catena sequence crossing both upland and lowland agricultural grazing systems. The range of soil types allowed us to explore how N&lt;sub&gt;2&lt;/sub&gt;O emissions and N losses vary under different conditions. Here we report on both a laboratory incubation and a mesocosm experiment examining these issues. This work should help to fill the knowledge gap around how emissions from urine patches could vary between UK uplands and lowlands. We hope to improve understanding of N losses and provide more realistic, regional, and accurate emission factors for upland farming systems.&lt;/p&gt;
The re-sorption of carbon compounds from the rhizosphere was investigated using 14C-labelled glucose, mannose and citric acid. Uptake in roots of 5-day-old
The ability of the soil's biological community to immobilise carbon (C) from substrates, often referred to as carbon use efficiency (CUE), has been shown to be dependent on the prevailing soil conditions and management regime, potentially leading to changes in C storage and functioning. However, there remains a lack of understanding about how soil CUE is affected by different common labile substrates (and combinations thereof) and native soil organic matter (SOM) status. Here we studied the CUE of three ubiquitous soil C substrates central to microbial metabolism, namely glucose, glutamic acid and citric acid, in soils with and without long-term C deprivation and associated differences in microbial biomass and community structure. We hypothesised that C deprivation-induced stress would reduce substrate CUE due to the investment of more C into stress-alleviation metabolic pathways, while conversely a balanced mixture of C substrates (i.e., sugars, amino acids and organic acids) would promote more efficient growth and substrate CUE. Our results showed that CUE was substrate-specific following the series glucose > glutamic acid > citric acid. CUE values for glucose demonstrated plasticity, being significantly lower in the soils experiencing C deprivation for both 6 and 16 years. Further, the CUE of glucose was increased when supplied alongside citrate and glutamate suggesting that substrate mixture may promote more efficient microbial growth. In contrast, the CUE for glutamic acid and citric acid showed no plasticity, being unaffected by both SOM status and the presence of other substrates. In conclusion, we found evidence to support both our hypotheses indicating that the type of C entering soil alongside native SOM levels may have a strong influence on overall CUE and thus C storage potential.
The procedure and advantages of cryofixing mycological specimens for study by scanning electron microscopy are described and representative specimens of soil fungi are illustrated.
Summary The rhizosphere is a dynamic region where multiple interacting processes in the roots and surrounding soil take place, with dimensions set by the distance to which the zone of root influence spreads into the soil. Its complexity is such that some form of mathematical modelling is essential for understanding which of the various processes operating are important, and a minimal model of the rhizosphere must provide information on (a) the spatiotemporal concentration changes of mobile solutes in the root‐influenced soil, and (b) the cumulative uptake of solutes per unit length of root over time. Both are unique for a given set of parameters and initial conditions and hence the model is fully deterministic. ‘Up‐scaling’ to uptake by whole plants by integrating individual fluxes requires a measure of the growth and senescence of the root system. Root architecture models are increasingly successful in providing this. The spatio‐temporal scales of the rhizosphere and roots are sufficiently different that they can be treated separately, and this greatly simplifies modelling. The minimal model has been successfully applied to the more‐mobile nutrients in soil, such as nitrate or potassium, but much less successfully to less‐soluble nutrients such as phosphorus, because other, undescribed processes become important. These include transfers from unavailable forms, heterogeneity of resource distribution, root competition, water redistribution and adaptive processes. Incorporating such processes into models can disrupt independent scaling. In general, scaling from the scale of the individual root to that of the whole plant does not pose insuperable problems. Paradoxically, the major challenge in introducing more complexity is that experimental corroboration of the model is required at the individual root scale.