The structure and matrix dynamics of bacterial biofilms as revealed by antimicrobial peptides' diffusion

From the biological point of view, bacterial biofilms are communities of bacteria embedded in a self-produced gel matrix composed of polysaccharides, DNA, and proteins. Considering the biophysical point of view, the biofilm matrix is a highly dense, crowded medium that imposes constraints to solute diffusion, depending on the size, conformational dynamics, and net charge. From the pharmacological point of view, biofilms are additional difficulties to drug development as heterogeneity in oxygen and nutrient distribution, and consequently, heterogeneity in bacterial metabolic status leads to recalcitrance. For peptide scientists, biofilms are both a challenge and an opportunity. Biofilms can be intruded by peptides, revealing important biological, biophysical, and pharmacological insights. Peptides can be engineered for different sizes, flexibilities, and net charges, unravelling the determinants of diffusion; they kill bacteria by lysis, overcoming the hurdles of metabolic status heterogeneity, and they are able to kill bacteria in the biofilm core, leaving the matrix intact, that is, without causing bacterial biofilm dispersion as side effect. This concise review addresses the knowledge reached while interrogating bacterial biofilms with peptides and other reporter molecules, and the advances therefrom in biology, biophysics, and drug development.     

Is Cassava the Answer to African Climate Change Adaptation?

This paper examines the impacts of climate change on cassava production in Africa, and questions whether cassava can play an important role in climate change adaptation. First, we examine the impacts that climate change will likely have on cassava itself, and on other important staple food crops for Africa including maize, millets, sorghum, banana, and beans based on projections to 2030. Results indicate that cassava is actually positively impacted in many areas of Africa, with ?3.7% to +17.5% changes in climate suitability across the continent. Conversely, for other major food staples, we found that they are all projected to experience negative impacts, with the greatest impacts for beans (?16%?±?8.8), potato (?14.7?±?8.2), banana (?2.5%?±?4.9), and sorghum (?2.66%?±?6.45). We then examined the likely challenges that cassava will face from pests and diseases through the use of ecological niche modeling for cassava mosaic disease, whitefly, brown streak disease and cassava mealybug. The findings show that the geographic distribution of these pests and diseases are projected to change, with both new areas opening up and areas where the pests and diseases are likely to leave or reduce in pressure. We finish the paper by looking at the abiotic traits of priority for crop adaptation for a 2030 world, showing that greater drought tolerance could bring some benefits in all areas of Africa, and that cold tolerance in Southern Africa will continue to be a constraint for cassava despite a warmer 2030 world, hence breeding needs to keep a focus on this trait. Importantly, heat tolerance was not found to be a major priority for crop improvement in cassava in the whole of Africa, but only in localized pockets of West Africa and the Sahel. The paper concludes that cassava is potentially highly resilient to future climatic changes and could provide Africa with options for adaptation whilst other major food staples face challenges.     

Eco-efficiency

Goal, Scope and Background The eco-efficiency analysis and portfolio is a powerful decision support tool for various strategic and marketing issues. Since its original academic development, the approach has been refined during the last decade and applied to a multitude of projects. BASF, as possibly the most prominent company using and developing this tool, has applied the eco-efficiency approach to more than 300 projects in the last 7 years. One of the greatest difficulties is to cover both dimensions of eco-efficiency (costs or value added and environmental impact) in a comparable manner. This is particularly a challenge for the eco-efficiency analyses of products. Methods In this publication, an important approach and field of application dealing with product decisions based on the combination of Life Cycle Cost (LCC) and Life Cycle Assessment (LCA) is described in detail. Special emphasis is put on the quantitative assessment of the relation of costs and environmental impacts. In conventional LCA an assessment of environmental impact categories is often made by normalization with inhabitant equivalents. This is necessary to be able to compare the different environmental impact categories, because of each different unit. For the proposed eco-efficiency analysis, the costs of products or processes are also normalized with adapted gross domestic product figures. Results and Discussion The ratio between normalized environmental impact categories and normalized costs (R_E,C) is used for the graphical presentation of the results in an eco-efficiency portfolio. For the interpretation of the results of an eco-efficiency analysis, it is important to distinguish ratios R_E,C which are higher than one from ratios lower than one. In the first case, the environmental impact is higher than the cost impact, while the inverse is true in the second case. This is very important for defining which kind of improvement is needed and defining strategic management decisions. The paper shows a statistical evaluation of the R_E,C factor based on the results of different eco-efficiency analyses made by BASF. For industries based on large material flows (e.g. chemicals, steel, metals, agriculture), the R_E,C factor is typically higher than one. Conclusions and Recommendations This contribution shows that LCC and LCA may be combined in a way that they mirror the concept of eco-efficiency. LCAs that do not consider LCC may be of very limited use for company management. For that very reason, corporations should install a data management system that ensures equal information on both sides of the eco-efficiency coin.     

The sensory modality used for learning affects grades

Second-year undergraduated students from 2008, 2009, and 2010 cohorts were asked to respond a questionnaire to determine their learning style preferences, the VARK questionnaire (where V is visual, A is aural, R is reading-writing, and K is kinesthetic), which was translated into Spanish by the author. The translated questionnaire was tested for wording comprehension before its application in the actual study. Using the results of the VARK questionnaire, students were classified as unimodal or multimodal and according to the first preferred sensory modality used for learning as V, A, R, or K learners. Multiple-choice questions (MCQs) and problems that required simple arithmetic calculations (arithmetic-type questions) were applied to the students. The relation between the main sensory modality used for learning and the grades obtained in each question type was analyzed both in unimodal and multimodal students. It was found that R unimodal students performed significantly better in arithmetic questions than A and K unimodal students (P < 0.001 by a Bonferroni multiple-comparison test after ANOVA). R unimodal students also performed better than R multimodal students in arithmetic questions (P = 0.02 by a Mann-Whitney U-test). However, no differences were observed after MCQs in either unimodal or multimodal students with different first sensory modalities used for learning. When MCQ scores between unimodal and multimodal students were compared, no differences were detected. It was concluded that the sensory learning style used for learning affects student outcome when students receive arithmetic questions but not when MCQs are applied.     

Comparative genomic analysis of dinucleotide repeats in Tritryps

The protozoans Trypanosoma cruzi, Trypanosoma brucei and Leishmania major (Tritryps), are evolutionarily ancient eukaryotes which cause worldwide human parasitosis. They present unique biological features. Indeed, canonical DNA/RNA cis-acting elements remain mostly elusive. Repetitive sequences, originally considered as selfish DNA, have been lately recognized as potentially important functional sequence elements in cell biology. In particular, the dinucleotide patterns have been related to genome compartmentalization, gene evolution and gene expression regulation. Thus, we perform a comparative analysis of the occurrence, length and location of dinucleotide repeats (DRs) in the Tritryp genomes and their putative associations with known biological processes. We observe that most types of DRs are more abundant than would be expected by chance. Complementary DRs usually display asymmetrical strand distribution, favoring TT and GT repeats in the coding strands. In addition, we find that GT repeats are among the longest DRs in the three genomes. We also show that specific DRs are non-uniformly distributed along the polycistronic unit, decreasing toward its boundaries. Distinctive non-uniform density patterns were also found in the intergenic regions, with predominance at the vicinity of the ORFs. These findings further support that DRs may control genome structure and gene expression.     

Immunogenicity of mAbs in non-human primates during nonclinical safety assessment

The immunogenicity of biopharmaceuticals used in clinical practice remains an unsolved challenge in drug development. Non-human primates (NHPs) are often the only relevant animal model for the development of monoclonal antibodies (mAbs), but the immune response of NHPs to therapeutic mAbs is not considered to be predictive of the response in humans because of species differences. In this study, we accessed the drug registration files of all mAbs registered in the European Union to establish the relative immunogenicity of mAbs in NHPs and humans. The incidence of formation of antidrug-antibodies in NHPs and patients was comparable in only 59% of the cases. In addition, the type of antidrug-antibody response was different in NHP and humans in 59% of the cases. Humanization did not necessarily reduce immunogenicity in humans. Immunogenicity interfered with the safety assessment during non-clinical drug development when clearing or neutralizing antibodies were formed. While important to interpret the study results, immunogenicity reduced the quality of NHP data in safety assessment. These findings confirm that the ability to compare relative immunogenicity of mAbs in NHPs and humans is low. Furthermore, immunogenicity limits the value of informative NHP studies.     

Roles of Wnt8a during formation and patterning of the mouse inner ear

Fgf and Wnt signalling have been shown to be required for formation of the otic placode in vertebrates. Whereas several Fgfs including Fgf3, Fgf8 and Fgf10 have been shown to participate during early placode induction, Wnt signalling is required for specification and maintenance of the otic placode, and dorsal patterning of the otic vesicle. However, the requirement for specific members of the Wnt gene family for otic placode and vesicle formation and their potential interaction with Fgf signalling has been poorly defined. Due to its spatiotemporal expression during placode formation in the hindbrain Wnt8a has been postulated as a potential candidate for its specification. Here we have examined the role of Wnt8a during formation of the otic placode and vesicle in mouse embryos. Wnt8a expression depends on the presence of Fgf3 indicating a serial regulation between Fgf and Wnt signalling during otic placode induction and specification. Wnt8a by itself however is neither essential for placode specification nor redundantly required together with Fgfs for otic placode and vesicle formation. Interestingly however, Wnt8a and Fgf3 are redundantly required for expression of Fgf15 in the hindbrain indicating additional reciprocal interactions between Fgf and Wnt signalling. Further reduction of Wnt signalling by the inactivation of Wnt1 in a Wnt8a mutant background revealed a redundant requirement for both genes during morphogenesis of the dorsal portion of the otic vesicle.     

Segmentation and Tracking of Adherens Junctions in 3D for the Analysis of Epithelial Tissue Morphogenesis

Epithelial morphogenesis generates the shape of tissues, organs and embryos and is fundamental for their proper function. It is a dynamic process that occurs at multiple spatial scales from macromolecular dynamics, to cell deformations, mitosis and apoptosis, to coordinated cell rearrangements that lead to global changes of tissue shape. Using time lapse imaging, it is possible to observe these events at a system level. However, to investigate morphogenetic events it is necessary to develop computational tools to extract quantitative information from the time lapse data. Toward this goal, we developed an image-based computational pipeline to preprocess, segment and track epithelial cells in 4D confocal microscopy data. The computational pipeline we developed, for the first time, detects the adherens junctions of epithelial cells in 3D, without the need to first detect cell nuclei. We accentuate and detect cell outlines in a series of steps, symbolically describe the cells and their connectivity, and employ this information to track the cells. We validated the performance of the pipeline for its ability to detect vertices and cell-cell contacts, track cells, and identify mitosis and apoptosis in surface epithelia of Drosophila imaginal discs. We demonstrate the utility of the pipeline to extract key quantitative features of cell behavior with which to elucidate the dynamics and biomechanical control of epithelial tissue morphogenesis. We have made our methods and data available as an open-source multiplatform software tool called TTT (http://github.com/morganrcu/TTT)