Seasonal variation of zooplankton community structure and trophic position in the Celtic Sea: A stable isotope and biovolume spectrum approach

Zooplankton on continental shelves represent an important intermediary in the transfer of energy and matter from phytoplankton to the wider ecosystem. Their taxonomic composition and trophic interactions with phytoplanktonvaryinspaceandtime, andinterpreting theimplicationsofthis constantlyevolvinglandscaperemainsamajorchallenge.Herewecombineplanktontaxonomicdatawiththeanalysisofbiovolumespectraand stableisotopestoprovideinsightsintothetrophicinteractionsthatoccurinashelfseaecosystem(CelticSea) across the spring-summer-autumn transition. Biovolume spectra captured the seasonal development of the zooplankton community well, both in terms of total biomass and trophic positioning, and matched trophic positionsestimatedbystableisotopeanalysis.InearlyApril,largemicroplankton(63–200µm)occupiedhigher trophic positions than mesozooplankton (>200µm), likely reflecting the predominance of nanoplankton (2–20µm) that were not readily available to mesozooplanktongrazers. Biomass and number of trophic levels increasedduringthespringbloomaselevatedprimaryproductionallowedforahigherabundanceofpredatory species.DuringJuly,theplanktonassemblageoccupiedrelativelyhightrophicpositions,indicatingimportant links to the microbial loop and the recycling of organic matter. The strong correlation between biomass and communitytrophiclevelacrossthestudysuggeststhattheCelticSeaisarelativelyenclosedandpredominantly energy-limited ecosystem. The progression of the zooplankton biomass and community structure within the centralshelfregionwasdifferenttothatattheshelf-break,potentiallyreflectingincreasedpredatorycontrolof copepodsby macrozooplanktonandpelagicfishesattheshelfbreak.Wesuggestthatthecombinationofsize spectra and stable isotope techniques are highly complementary and useful for interpreting the seasonal progressionoftrophicinteractionsintheplankton

Coccolithophore calcification fails to deter microzooplankton grazers.

Phytoplankton play a central role in the regulation of global carbon and nutrient cycles, forming the basis of the marine food webs. A group of biogeochemically important phytoplankton, the coccolithophores, produce calcium carbonate scales that have been hypothesized to deter or reduce grazing by microzooplankton. Here, a meta-analysis of mesocosm-based experiments demonstrates that calcification of the cosmopolitan coccolithophore, Emiliania huxleyi, fails to deter microzooplankton grazing. The median grazing to growth ratio for E. huxleyi (0.56 � 0.40) was not significantly different among non-calcified nano- or picoeukaryotes (0.71 � 0.31 and 0.55 � 0.34, respectively). Additionally, the environmental concentration of E. huxleyi did not drive preferential grazing of non-calcified groups. These results strongly suggest that the possession of coccoliths does not provide E. huxleyi effective protection from microzooplankton grazing. Such indiscriminate consumption has implications for the dissolution and fate of CaCO3 in the ocean, and the evolution of coccoliths

Characterization of Botulinum Neurotoxin Type A Neutralizing Monoclonal Antibodies and Influence of Their Half-Lives on Therapeutic Activity

Botulinum toxins, i.e. BoNT/A to/G, include the most toxic substances known. Since botulism is a potentially fatal neuroparalytic disease with possible use as a biowarfare weapon (Centers for Disease Control and Prevention category A bioterrorism agent), intensive efforts are being made to develop vaccines or neutralizing antibodies. The use of active fragments from non-human immunoglobulins (F(ab')2, Fab', scFv), chemically modified or not, may avoid side effects, but also largely modify the in vivo half-life and effectiveness of these reagents. We evaluated the neutralizing activity of several monoclonal anti-BoNT/A antibodies (mAbs). F(ab')2 fragments, native or treated with polyethyleneglycol (PEG), were prepared from selected mAbs to determine their half-life and neutralizing activity as compared with the initial mAbs. We compared the protective efficiency of the different biochemical forms of anti-toxin mAbs providing the same neutralizing activity. Among fourteen tested mAbs, twelve exhibited neutralizing activity. Fragments from two of the best mAbs (TA12 and TA17), recognizing different epitopes, were produced. These two mAbs neutralized the A1 subtype of the toxin more efficiently than the A2 or A3 subtypes. Since mAb TA12 and its fragments both exhibited the greatest neutralizing activity, they were further evaluated in the therapeutic experiments. These showed that, in a mouse model, a 2- to 4-h interval between toxin and antitoxin injection allows the treatment to remain effective, but also suggested an absence of correlation between the half-life of the antitoxins and the length of time before treatment after botulinum toxin A contamination. These experiments demonstrate that PEG treatment has a strong impact on the half-life of the fragments, without affecting the effectiveness of neutralization, which was maintained after preparation of the fragments. These reagents may be useful for rapid treatment after botulinum toxin A contamination

Dark Energy Survey year 1 results: cosmological constraints from cluster abundances and weak lensing

We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear and source photometric redshifts estimates as were used in the DES combined probes analysis. Our analysis results in surprisingly low values for S8=σ8(Ωm/0.3)0.5=0.65±0.04, driven by a low matter density parameter, Ωm=0.179+0.031−0.038, with σ8−Ωm posteriors in 2.4σ tension with the DES Y1 3x2pt results, and in 5.6σ with the Planck CMB analysis. These results include the impact of post-unblinding changes to the analysis, which did not improve the level of consistency with other data sets compared to the results obtained at the unblinding. The fact that multiple cosmological probes (supernovae, baryon acoustic oscillations, cosmic shear, galaxy clustering and CMB anisotropies), and other galaxy cluster analyses all favor significantly higher matter densities suggests the presence of systematic errors in the data or an incomplete modeling of the relevant physics. Cross checks with x-ray and microwave data, as well as independent constraints on the observable-mass relation from Sunyaev-Zeldovich selected clusters, suggest that the discrepancy resides in our modeling of the weak lensing signal rather than the cluster abundance. Repeating our analysis using a higher richness threshold (λ≥30) significantly reduces the tension with other probes, and points to one or more richness-dependent effects not captured by our model

Bioreactor for microalgal cultivation systems: strategy and development

Microalgae are important natural resources that can provide food, medicine, energy and various bioproducts for nutraceutical, cosmeceutical and aquaculture industries. Their production rates are superior compared to those of terrestrial crops. However, microalgae biomass production on a large scale is still a challenging problem in terms of economic and ecological viability. Microalgal cultivation system should be designed to maximize production with the least cost. Energy efficient approaches of using light, dynamic mixing to maximize use of carbon dioxide (CO2) and nutrients and selection of highly productive species are the main considerations in designing an efficient photobioreactor. In general, optimized culture conditions and biological responses are the two overarching attributes to be considered for photobioreactor design strategies. Thus, fundamental aspects of microalgae growth, such as availability of suitable light, CO2 and nutrients to each growing cell, suitable environmental parameters (including temperature and pH) and efficient removal of oxygen which otherwise would negatively impact the algal growth, should be integrated into the photobioreactor design and function. Innovations should be strategized to fully exploit the wastewaters, flue-gas, waves or solar energy to drive large outdoor microalgae cultivation systems. Cultured species should be carefully selected to match the most suitable growth parameters in different reactor systems. Factors that would decrease production such as photoinhibition, self-shading and phosphate flocculation should be nullified using appropriate technical approaches such as flashing light innovation, selective light spectrum, light-CO2 synergy and mixing dynamics. Use of predictive mathematical modelling and adoption of new technologies in novel photobioreactor design will not only increase the photosynthetic and growth rates but will also enhance the quality of microalgae composition. Optimizing the use of natural resources and industrial wastes that would otherwise harm the environment should be given emphasis in strategizing the photobioreactor mass production. To date, more research and innovation are needed since scalability and economics of microalgae cultivation using photobioreactors remain the challenges to be overcome for large-scale microalgae production

Proteasome activity is required for the initiation of precancerous pancreatic lesions

Proteasome activity is significantly increased in advanced cancers, but its role in cancer initiation is not clear, due to difficulties in monitoring this process in vivo. We established a line of transgenic mice that carried the ZsGreen-degron(ODC) (Gdeg) proteasome reporter to monitor the proteasome activity. In combination with Pdx-1-Cre;LSL-Kras(G12D) model, proteasome activity was investigated in the initiation of precancerous pancreatic lesions (PanINs). Normal pancreatic acini in Gdeg mice had low proteasome activity. By contrast, proteasome activity was increased in the PanIN lesions that developed in Gdeg;Pdx-1-Cre;LSL-Kras(G12D) mice. Caerulein administration to Gdeg;Pdx-1-Cre;LSL-Kras(G12D) mice induced constitutive elevation of proteasome activity in pancreatic tissues and accelerated PanIN formation. The proteasome inhibitor markedly reduced PanIN formation in Gdeg;Pdx-1-Cre;LSL-Kras(G12D) mice (P = 0.001), whereas it had no effect on PanIN lesions that had already formed. These observations indicated the significance of proteasome activity in the initiation of PanIN but not the maintenance per se. In addition, the expressions of pERK and its downstream factors including cyclin D1, NF-κB, and Cox2 were decreased after proteasome inhibition in PanINs. Our studies showed activation of proteasome is required specifically for the initiation of PanIN. The roles of proteasome in the early stages of pancreatic carcinogenesis warrant further investigation