Biochemical composition of temperate and Arctic populations of Saccharina latissima after exposure to increased pCO2 and temperature reveals ecotypic variation

Previous research suggested that the polar and temperate populations of the kelp Saccharina latissima represent different ecotypes. The ecotypic differentiation might also be reflected in their biochemical composition (BC) under changing temperatures and pCO₂. Accordingly, it was tested if the BC of Arctic (Spitsbergen) and temperate S. latissima (Helgoland) is different and if they are differently affected by changes in temperature and pCO₂. Thalli from Helgoland grown at 17 °C and 10 °C and from Spitsbergen at 10 °C and 4 °C were all tested at either 380, 800, or 1,500 µatm pCO₂, and total C-, total N-, protein, soluble carbohydrate, and lipid content, as well as C/N-ratio were measured. At 10 °C, the Arctic population had a higher content of total C, soluble carbohydrates, and lipids, whereas the N- and protein content was lower. At the lower tested temperature, the Arctic ecotype had particularly higher contents of lipids, while content of soluble carbohydrates increased in the Helgoland population only. In Helgoland-thalli, elevated pCO₂ caused a higher content of soluble carbohydrates at 17 °C but lowered the content of N and lipids and increased the C/N-ratio at 10 °C. Elevated pCO₂ alone did not affect the BC of the Spitsbergen population. Conclusively, the Arctic ecotype was more resilient to increased pCO₂ than the temperate one, and both ecotypes differed in their response pattern to temperature. This differential pattern is discussed in the context of the adaptation of the Arctic ecotype to low temperature and the polar night.     

Myrothecium-like (Ascomycota,Hypocreales) species from tropical areas: <Emphasis Type="Italic">Digitiseta</Emphasis> gen. nov. and additions to <Emphasis Type="Italic">Inaequalispora</Emphasis> and <Emphasis Type="Italic">Parvothecium</Emphasis>

Inaequalispora and Parvothecium are two myrothecium-like, closely related genera of Hypocreales. They are also morphologically similar, sharing sporodochial conidiomata, penicillate conidiophores, fusiform to ellipsoidal conidia accumulating in a green slimy drop, and hypha-like setoid extensions emerging through the conidial mass. During a revision of myrothecium-like isolates originating from rainforest areas of South America (Ecuador, Brazil) and Southeast Asia (Singapore), multilocus phylogenetic inferences (based on DNA sequence data of ITS, partial nuc 28S, and partial tef1a, rpb2 and tub2) and morphological studies concordantly revealed the occurrence of two undescribed species of Inaequalispora (I. longiseta sp. nov. and I. cylindrospora sp. nov.) and one undescribed species of Parvothecium (P. amazonensesp. nov.). Myrothecium setiramosum, M. dimorphum, and two undescribed taxa form the base of a new lineage, sister to the current Parvothecium lineage. This lineage is recognized as Digitiseta gen. nov., typified by D. setiramosa comb. nov. Digitiseta dimorpha comb. nov. is also proposed, and the new species D. parvodigitata sp. nov. and D. multidigitata sp. nov. are described.     

Enhancement of Candida rugosa lipase production by using different control fed-batch operational strategies

Simulation studies have predicted that maximum lipase activity is reached with fed-batch operation strategies. In this work, two different fed-batch operational strategies have been studied: constant substrate feeding rate and specific growth rate control. A constant substrate feeding rate strategy showed that maximum aqueous lipolytic activity (55 U/mL) was reached at low substrate feeding rates, whereas lipase tends to accumulate inside the cell at higher rates of substrate addition. In the second fed-batch strategy studied, a feedback control strategy has been developed based on the estimation of state variables (X and mu) from the measurement of indirect variables such as CER by means of mass spectrometry techniques. An on-off controller was then used to maintain the specific growth rate at the desired value by adjusting the substrate feeding rate. A constant specific growth rate strategy gave higher final levels of aqueous lipolytic activity (117 U/mL) at low specific growth rates. At higher specific growth rates the enzyme remained accumulated inside the cell, as was observed with a constant feeding fed-batch strategy. With a constant specific growth rate strategy, lipase production by Candida rugosa was enhanced 10-fold compared to a batch operation. Purification studies have demonstrated that lipolytic and esterasic specific activity ratios of Candida rugosa isoenzymes can be modified by using different operational conditions. These studies have also showed that the isoenzymes obtained in a controlled growth rate strategy are around three- to four-fold more active than those obtained in a constant feeding rate strategy.     

Advantages of larval control for African malaria vectors: Low mobility and behavioural responsiveness of immature mosquito stages allow high effective coverage

Background  

Based on sensitivity analysis of the MacDonald-Ross model, it has long been argued that the best way to reduce malaria transmission is to target adult female mosquitoes with insecticides that can reduce the longevity and human-feeding frequency of vectors. However, these analyses have ignored a fundamental biological difference between mosquito adults and the immature stages that precede them: adults are highly mobile flying insects that can readily detect and avoid many intervention measures whereas mosquito eggs, larvae and pupae are confined within relatively small aquatic habitats and cannot readily escape control measures.     

Respirometric assays at fixed and process temperatures to monitor composting process

A static respirometer was built to determine the respiration index (RI) of composting samples. Respiration indices of different sludges were determined at 37 degrees C (RI37) and at the in situ temperature of the composter at sampling (RI(T)). Results indicated that both indices correlated well with temperature evolution in the composter. RI(T) were more representative of the metabolic activity in the reactor and more sensitive to temperature and composition variations of the composting material, but could not indicate the stability of the material at later stages of the process. Moreover, significance of RI units was shown in the composting of a highly compostable residue. According to the stability limits suggested in the literature, initial RI expressed on dry matter (DM) basis corresponds to a stable material (RI < 1 mgO2gDM(-1)h(-1)) whereas initial RI expressed on organic matter basis (OM) corresponds to an unstable material (RI = 2.5 mgO2gOM(-1)h(-1)).     

Comparative performance of the Mbita trap, CDC light trap and the human landing catch in the sampling of Anopheles arabiensis, An. funestus and culicine species in a rice irrigation in western Kenya

Background

IL-1β and IL-1RA levels are higher in the serum of cerebral malaria patients than in patients with mild malaria. Recently, the level of IL1B expression was reported to be influenced by a polymorphism in the promoter of IL1, IL1B -31C>T.

Methods

To examine whether polymorphisms in IL1B and IL1RA influence the susceptibility to cerebral malaria, IL1B -31C>T, IL1B 3953C>T, and IL1RA variable number of tandem repeat (VNTR) were analysed in 312 Thai patients with malaria (109 cerebral malaria and 203 mild malaria patients).

Results

In this population, IL1B -31C>T and IL1RA VNTRwere detected, while IL1B 3953C>T (i.e., IL1B 3953T) was not observed in the polymorphism screening for 32 patients. Further analyses for IL1B -31C>T and IL1RA VNTR in 110 cerebral malaria and 206 mild malaria patients showed no significant association of these polymorphisms with cerebral malaria.

Conclusion

The present results suggest that IL1B -31C>T and IL1RA VNTR polymorphisms do not play a crucial role in susceptibility or resistance to cerebral malaria.     

Surface layer proteins in species of the family Lactobacillaceae

The S-layer or surface layer protein (SLP) is the most ancient biological envelope, highly conserved in several Bacteria and Archaea. In lactic acid bacteria (LAB), SLP is only found in species belonging to the Lactobacillaceae family, many of them considered probiotic microorganisms. New reclassification of members within the Lactobacillaceae family (International Journal of Systematic and Evolutionary Microbiology, 2020, 70 , 2782) and newly sequenced genomes demands an updated revision on SLP genes and domain organization. There is growing information concerning SLP occurrence, molecular biology, biophysical properties, and applications. Here, we focus on the prediction of slp genes within the Lactobacillaceae family, and specifically, on the neat interconnection between the two different modular SLP domain organizations and the new reclassified genera. We summarize the results in a concise tabulated manner to review the present knowledge on SLPs and discuss the most relevant and updated concepts regarding SLP sequence clustering. Our assessment is based on sequence alignments considering the new genera classification and protein domain definition with post-translational modifications. We analyse the difficulties encountered to resolve the SLPs 3D structure, describing the need for structure prediction approaches and the relation between protein structure and its anchorage mechanism to the cell wall. Finally, we enumerate new SLP applications regarding heterologous display, pathogen exclusion, immunostimulation, and metal binding.     

Customizing CO<Subscript>2</Subscript> allocation using a new non-iterative method to reflect operational constraints in complex EU refineries

Purpose

Developing a robust method for CO₂ allocation in oil refineries is an ongoing debate within the life cycle assessment (LCA) community. Several methodologies reported in the literature, mostly performing sequential and iterative calculations, tend to be biased toward diesel at the expense of gasoline, failing to properly consider the role played by hydrogen. This paper develops a new non-iterative refinery CO₂ allocation method to explore the concept of customized allocation to overcome the inherent bias in standard methods.

Methods

The allocation methodology is based on a system of linear equations built around the material and energy balances of a refinery. After describing the process of building such system, it is shown that the carbon allocation values of all final products and intermediate streams are directly obtained by solving it. A numerical example of CO₂ emission allocation to major refinery products is provided from an optimized refinery linear programming (LP) case for the European refining industry, based on literature projections for 2020.

Results and discussion

The paper presents the key emission sources in the European refinery sector, and by using a standard mass-based allocation technique, we show that the carbon intensities of refined petroleum products derived using the non-iterative method are consistent with other studies. We confirm the findings that the standard allocation typically used in attributional refinery LCA tends to reward diesel to the detriment of gasoline. We attempted reconciling this by applying a reallocation factor to customize the CO₂ allocation to represent the “real” economic purposes of process units reflecting the constraints European refineries face today. This moderated the octane production effects given the important role the reformer plays in hydrogen co-production, where the emission burden of highly knock-resistant reformate is redistributed to hydrogen and carried through to diesel.

Conclusions

By customizing the allocation of CO₂, we demonstrated that the differences between a consequential and an attributional approach in refinery LCA can partly be reconciled. We now run into the risk of increasing the subjectivity of the attributional method by using “judgment calls” to decide on the choice of weightage to be applied. We invite the wider LCA practitioners to further investigate the use of this new non-iterative method for allocating CO₂ and explore the concept of reallocation factors as means to customize emission allocation.