Calcium carbonate prevents Botryococcus braunii growth inhibition caused by medium acidification

Journal of Applied Phycology - Microalgae, Botryococcus braunii in particular, have received increasing interest owing to their potential as biofuel sources. Although the fertilizer components...     

Temporally explicit abiotic depletion potential (TADP) for mineral resource use based on future demand projections

Purpose

Assessing the potential impacts (characterization) of mineral resource use in life cycle impact assessment (LCIA) has long been debated. One of the most crucial challenges in the characterization models for mineral resource use is the consideration of the changing demand and availability of in-use stocks in the future, which is relevant to the global population and economy growth as well as the increasing low-carbon technologies. We propose an extended characterization model to assess the potential impacts for arbitrary time horizons, considering future demand changes and the availability of in-use stock: temporally explicit abiotic depletion potential (TADP).

Methods

The TADP was developed based on abiotic depletion potential (ADP), which is a widely used characterization model for mineral resource use. While the ADP assesses the potential impacts of mineral resource use based on a natural stock estimate and the current extraction rate, the TADP adopts an average extraction rate for arbitrary time horizons. The average extraction rate was estimated using material flow analysis considering future demand changes and recycling under the five shared socioeconomic pathways (SSPs). TADPs were calculated for six common metals: aluminum, copper, iron, lead, nickel, and zinc.

Results and discussion

As a result of calculating TADPs for the term by 2050 (TADP₂₀₅₀), compared to iron, all other metals showed larger values of characterization factors for all SSPs than the original ADPs. The TADP₂₀₅₀ of copper exhibited the largest difference with ADP among the six metals (approximately 1.9 times), which is mainly attributed to future demand growth. On the other hand, for the longer time perspective, the TADP₂₁₀₀ of lead and zinc exhibited larger differences with ADP than copper (approximately 2.8 times for zinc), which is mainly due to a relatively shorter lifetime for lead and a lower recycling rate for zinc. This suggests that the relative significance of the characterization factors of metals varies depending on the temporal perspective.

Conclusions

With the proposed characterization model, the potential impacts of mineral resource use can be assessed reflecting future situations for the selected time horizons. The results demonstrate that the consideration of future situations greatly influences the relative significance of the potential impacts of using different mineral resources in the results of LCIA studies. By expanding the coverage of mineral resources and future scenario analysis to other relevant factors, the TADP model can improve the robustness of the assessment and further support decision-making towards sustainable resource management.

     

Sex Attraction and Mating in Bursaphelenchus okinawaensis and B. xylophilus

The fungal feeding, hermaphroditic Bursaphelenchus okinawaensis is a laboratory model to understand the biology of Bursaphelenchus. The extent to which B. okinawaensis can be used to model Bursaphelenchus xylophilus mating was investigated. A chemotaxis assay was conducted to examine whether B. xylophilus and B. okinawaensis produce and respond to volatile sex attractants. Unmated B. xylophilus females were found to attract B. xylophilus males. Similarly, old (sperm depleted) but not young (sperm repleted) B. okinawaensis hermaphrodites attract B. okinawaensis males. Thus, in both species, sperm status corresponds to its ability to attract males. B. xylophilus males also produce a volatile pheromone that attracts both mated and unmated females. A second assay, in which the behavior of males on petri plates in the presence of different females or hermaphrodites of Bursaphelenchus was observed, revealed that B. xylophilus unmated females attract B. okinawaensis males, and B. okinawaensis old hermaphrodites attract B. xylophilus males. These observations suggested that the pheromones of Bursaphelenchus work to some extent across species. Mating behavior through spicule insertion occurs across species, suggesting that postcopulatory mechanisms prevent production of interspecific progeny. The hermaphroditic B. okinawaensis will be a useful model to conduct genetic studies for the understanding of the molecular mechanisms underlying mating behavior in Bursaphelenchus nematodes.     

PGC-1α-mediated changes in phospholipid profiles of exercise-trained skeletal muscle

Exercise training influences phospholipid fatty acid composition in skeletal muscle and these changes are associated with physiological phenotypes; however, the molecular mechanism of this influence on compositional changes is poorly understood. Peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α), a nuclear receptor coactivator, promotes mitochondrial biogenesis, the fiber-type switch to oxidative fibers, and angiogenesis in skeletal muscle. Because exercise training induces these adaptations, together with increased PGC-1α, PGC-1α may contribute to the exercise-mediated change in phospholipid fatty acid composition. To determine the role of PGC-1α, we performed lipidomic analyses of skeletal muscle from genetically modified mice that overexpress PGC-1α in skeletal muscle or that carry KO alleles of PGC-1α. We found that PGC-1α affected lipid profiles in skeletal muscle and increased several phospholipid species in glycolytic muscle, namely phosphatidylcholine (PC) (18:0/22:6) and phosphatidylethanolamine (PE) (18:0/22:6). We also found that exercise training increased PC (18:0/22:6) and PE (18:0/22:6) in glycolytic muscle and that PGC-1α was required for these alterations. Because phospholipid fatty acid composition influences cell permeability and receptor stability at the cell membrane, these phospholipids may contribute to exercise training-mediated functional changes in the skeletal muscle.     

Discovery of selective indole-based prostaglandin D₂ receptor antagonist

A series of N-benzoyl-2-methylindole-3-acetic acids were synthesized and biologically evaluated as prostaglandin (PG) D? receptor antagonists. Some of the selected compounds significantly inhibited OVA-induced vascular permeability in guinea pig conjunctiva after oral dosing. Structure-activity relationship study is presented.     

Structure-based functional identification of a novel heme-binding protein from <Emphasis Type="Italic">Thermus thermophilus</Emphasis> HB8

The TT1485 gene from Thermus thermophilus HB8 encodes a hypothetical protein of unknown function with about 20 sequence homologs of bacterial or archaeal origin. Together they form a family of uncharacterized proteins, the cluster of orthologous group COG3253. Using a combination of amino acid sequence analysis, three-dimensional structural studies and biochemical assays, we identified TT1485 as a novel heme-binding protein. The crystal structure reveals that this protein is a pentamer and each monomer exhibits a β-barrel fold. TT1485 is structurally similar to muconolactone isomerase, but this provided no functional clues. Amino acid sequence analysis revealed remote homology to a heme enzyme, chlorite dismutase. Strikingly, amino acid residues that are highly conserved in the homologous hypothetical proteins and chlorite dismutase cluster around a deep cavity on the surface of each monomer. Molecular modeling shows that the cavity can accommodate a heme group with a strictly conserved His as a heme ligand. TT1485 reconstituted with iron protoporphyrin IX chloride gave a low chlorite dismutase activity, indicating that TT1485 catalyzes a reaction other than chlorite degradation. The presence of a possible Fe–His–Asp triad in the heme proximal site suggests that TT1485 functions as a novel heme peroxidase to detoxify hydrogen peroxide within the cell.     

Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm

MOTIVATION: To resolve the high-dimensionality of the genetic network inference problem in the S-system model, a problem decomposition strategy has been proposed. While this strategy certainly shows promise, it cannot provide a model readily applicable to the computational simulation of the genetic network when the given time-series data contain measurement noise. This is a significant limitation of the problem decomposition, given that our analysis and understanding of the genetic network depend on the computational simulation. RESULTS: We propose a new method for inferring S-system models of large-scale genetic networks. The proposed method is based on the problem decomposition strategy and a cooperative coevolutionary algorithm. As the subproblems divided by the problem decomposition strategy are solved simultaneously using the cooperative coevolutionary algorithm, the proposed method can be used to infer any S-system model ready for computational simulation. To verify the effectiveness of the proposed method, we apply it to two artificial genetic network inference problems. Finally, the proposed method is used to analyze the actual DNA microarray data.     

Structure-activity relationships of 2-, 4-, or 6-substituted estrogens as aromatase inhibitors

Aromatase, which is responsible for the conversion of androgens to estrogens, is a potential therapeutic target for the selective lowering of estrogen levels in patients with estrogen-dependent breast cancer. To develop a novel class of aromatase inhibitors, we tested series of 2- and 4-substituted (halogeno, methyl, formyl, methoxy, nitro, and amino) estrones (7 and 9), as well as series of 6alpha- and 6beta-substituted (alkyl, phenalkyl, and alkoxy) estrones (13 and 14), and their estradiol analogs (8, 10, 11, and 12) as aromatase inhibitors. All of the inhibitors examined blocked the androstenedione aromatization in a competitive manner. Introduction of halogeno and methyl functions at C-2 of estrone as well as that of a phenalkyl or methyl function at the C-6alpha or C-6beta position markedly increased affinity to aromatase (apparent K(i) value=0.10-0.66 microM for the inhibitors versus 2.5 microM for estrone). 6alpha-Phenylestrone (13c) was the most powerful inhibitor among the estrogens studied, and its affinity was comparable to that of the androgen substrate androstenedione. Estradiol analogs were much weaker inhibitors than the corresponding estrone compounds in each series, indicating that the 17-carbonyl group plays a critical role in the formation of a thermodynamically stable enzyme-inhibitor complex.