Giant sequoia (Sequoiadendron giganteum) in the UK: carbon storage potential and growth rates.

Giant sequoias (Sequoiadendron giganteum) are some of the UK's largest trees, despite only being introduced in the mid-nineteenth century. There are an estimated half a million giant sequoias and closely related coastal redwoods (Sequoia sempervirens) in the UK. Given the recent interest in planting more trees, partly due to their carbon sequestration potential and also their undoubted public appeal, an understanding of their growth capability is important. However, little is known about their growth and carbon uptake under UK conditions. Here, we focus on S. giganteum and use three-dimensional terrestrial laser scanning to perform detailed structural measurements of 97 individuals at three sites covering a range of different conditions, to estimate aboveground biomass (AGB) and annual biomass accumulation rates. We show that UK-grown S. giganteum can sequester carbon at a rate of 85 kg yr-1, varying with climate, management and age. We develop new UK-specific allometric models for S. giganteum that fit the observed AGB with r 2 > 0.93 and bias < 2% and can be used to estimate S. giganteum biomass more generally. This study provides the first estimate of the growth and carbon sequestration of UK open-grown S. giganteum and provides a baseline for estimating their longer-term carbon sequestration capacity.

Targeted genomics of flow cytometrically sorted cultured and uncultured microbial groups.

High throughput sequencing of genetic material recovered from environmental samples (i.e., metagenomics) is becoming the method of choice for either medical or environmental genomic studies. However, the large amount of data and complexity of the sequenced "biomes" present challenges for teasing meaningful results out of the mass. Here, we describe a targeted genomic pipeline which uses fluorescence-activated cell sorting (FACS) in combination with multiple displacement amplification (MDA) of nucleic acids that allows to dissect a complex system into its component parts to facilitate high-quality single-cell, or targeted population, genomic reconstructions of microbial communities. This pipeline is presented with methods for collecting, concentrating, and preserving cells from aquatic and marine environments suitable for flow cytometric processing at a later date.

Elemental composition of natural populations of key microbial groups in Atlantic waters.

Intracellular carbon (C), nitrogen (N) and phosphorus (P) content of marine phytoplankton and bacterioplankton can vary according to cell requirements or physiological acclimation to growth under nutrient limited conditions. Although such variation in macronutrient content is well known for cultured organisms, there is a dearth of data from natural populations that reside under a range of environmental conditions. Here, we compare C, N and P content of Synechococcus, Prochlorococcus, low nucleic acid (LNA) content bacterioplankton and small plastidic protists inhabiting surface waters of the North and South subtropical gyres and the Equatorial Region of the Atlantic Ocean. While intracellular C:N ratios ranged between 3.5 and 6, i.e. below the Redfield ratio of 6.6, all the C:P and N:P ratios were up to 10 times higher than the corresponding Redfield ratio of 106 and 16, respectively, reaching and in some cases exceeding maximum values reported in the literature. Similar C:P or N:P ratios in areas with different concentrations of inorganic phosphorus suggests that this is not just a response to the prevailing environmental conditions but an indication of the extremely low P content of these oceanic microbes.

Internal and external influences on near-surface microbial community structure in the vicinity of the Cape Verde Islands.

Microbial community structure in the subtropical north-east Atlantic Ocean was compared between 2 years and variation attributed to environmental variables. Surface seawater communities were analysed by flow cytometry and fluorescence in situ hybridisation. Probes specific to Alphaproteobacteria, Cyanobacteria, Gammaproteobacteria and Bacteroidetes identified 67-100% of cells. Due to natural variation in the study region due to the occurrence of major currents and islands, data could not be pooled but were instead divided between distinct water masses. Community structure did not differ greatly around the Cape Verde Islands between sampling periods but varied substantially in the open ocean, suggesting different environmental perturbations favour specific bacterial groups. Wind speed varied significantly between years, with moderate to strong breeze in winter 2008 and gales in winter 2006 (8.9 ± 0.2 ms(-1) and 16.0 ± 0.4 ms(-1), respectively). Enhanced wind-driven turbulence was associated with domination by the SAR11 clade of Alphaproteobacteria, which were present at 2.4-fold in the abundance of Prochlorococcus (41.8 ± 1.6% cells, compared to 17.7 ± 7.1%). Conversely, the calmer conditions of 2008 seemed to favour Prochlorococcus (40.0 ± 1.2% cells). Prochlorococcus high-light adapted clade HLI were only numerous during wind-driven turbulence, whereas oligotrophic-adapted clade HLII dominated under calm conditions. Bacteroidetes were most prominent in turbulent conditions (9.5 ± 1.3% cells as opposed to 4.7 ± 0.3%), as were Synechococcus. In 2008, a considerable dust deposition event occurred in the region, which may have led to the substantial Gammaproteobacteria population (22.5 ± 4.0% cells compared to 4.6 ± 0.6% in 2006). Wind-driven turbulence may have a significant impact on microbial community structure in the surface ocean. Therefore, community change following dust storm events may be linked to associated wind in addition to dust-derived nutrients.

Metaproteomic and metagenomic analyses of defined oceanic microbial populations using microwave cell fixation and flow cytometric sorting.

A major obstacle in the molecular investigation of natural, especially oceanic, microbial cells is their adequate preservation for further land-based molecular analyses. Here, we examined the use of microwaves for cell fixation before high-speed flow cytometric sorting to define the metaproteomes and metagenomes of key microbial populations. The microwave fixation procedure was established using cultures of Synechococcus cyanobacteria, the photosynthetic eukaryote Micromonas pusilla and the gammaproteobacterium Halomonas variabilis. Shotgun proteomic analyses showed that the profile of microwave-fixed and -unfixed Synechococcus sp. WH8102 cells was the same, and hence proteome identification of microwave-fixed sorted cells by nanoLC-MS/MS is possible. Microwave-fixed flow-sorted Synechococcus cells can also be successfully used for whole-genome amplification and fosmid library construction. We then carried out successful metaproteomic and metagenomic analyses of microwave-fixed Synechococcus cells flow sorted from concentrates of microbial cells, collected in the North Atlantic Ocean. Thus, the microwave fixation procedure developed appears to be useful for molecular studies of microbial populations in aquatic ecosystems.

Southern Ocean deep-water carbon export enhanced by natural iron fertilization.

The addition of iron to high-nutrient, low-chlorophyll regions induces phytoplankton blooms that take up carbon. Carbon export from the surface layer and, in particular, the ability of the ocean and sediments to sequester carbon for many years remains, however, poorly quantified. Here we report data from the CROZEX experiment in the Southern Ocean, which was conducted to test the hypothesis that the observed north-south gradient in phytoplankton concentrations in the vicinity of the Crozet Islands is induced by natural iron fertilization that results in enhanced organic carbon flux to the deep ocean. We report annual particulate carbon fluxes out of the surface layer, at three kilometres below the ocean surface and to the ocean floor. We find that carbon fluxes from a highly productive, naturally iron-fertilized region of the sub-Antarctic Southern Ocean are two to three times larger than the carbon fluxes from an adjacent high-nutrient, low-chlorophyll area not fertilized by iron. Our findings support the hypothesis that increased iron supply to the glacial sub-Antarctic may have directly enhanced carbon export to the deep ocean. The CROZEX sequestration efficiency (the amount of carbon sequestered below the depth of winter mixing for a given iron supply) of 8,600 mol mol(-1) was 18 times greater than that of a phytoplankton bloom induced artificially by adding iron, but 77 times smaller than that of another bloom initiated, like CROZEX, by a natural supply of iron. Large losses of purposefully added iron can explain the lower efficiency of the induced bloom(6). The discrepancy between the blooms naturally supplied with iron may result in part from an underestimate of horizontal iron supply.

Extreme spatial variability in marine picoplankton and its consequences for interpreting Eulerian time-series.

A high-resolution mesoscale spatial survey of picoplankton in the Celtic Sea, using flow cytometry, reveals cell concentrations of Synechococcus spp. cyanobacteria and heterotrophic bacteria that vary up to 50-fold over distances as short as 12 km. Furthermore, the range of abundances is comparable to that typically found on seasonal scales at a single location. Advection of such spatial variability through a time-series site would therefore constitute a major source of 'error'. Consequently, attempts to model and to investigate the ecology of these globally important organisms in situ must take into account and quantify the hitherto ignored local spatial variability as a matter of necessity.

Cloning and expression of an oligopeptidase, PepO, with novel specificity from Lactobacillus rhamnosus HN001 (DR20).

Oligopeptidases of starter and nonstarter lactic acid bacteria contribute to the proteolytic events important in maturation and flavor development processes in cheese. This paper describes the molecular cloning, expression, and specificity of the oligopeptidase PepO from the probiotic nonstarter strain Lactobacillus rhamnosus HN001 (DR20). The pepO gene encodes a protein of 70.9 kDa, whose primary sequence includes the HEXXH motif present in certain classes of metallo-oligopeptidases. The pepO gene was cloned in L. rhamnosus HN001 and overexpressed in pTRKH2 from its own promoter, which was mapped by primer extension. It was further cloned in both pNZ8020 and pNZ8037 and overexpressed in Lactococcus lactis subsp. cremoris NZ9000 from the nisA promoter. The purified PepO enzyme demonstrated unique cleavage specificity for alpha(s1)-casein fragment 1-23, hydrolyzing the bonds Pro-5-Ile-6, Lys-7-His-8, His-8-Gln-9, and Gln-9-Gly-10. The impact of this enzyme in cheese can now be assessed.