Translation efficiency in humans: tissue specificity,global optimization and differences between developmental stages

Various studies in unicellular and multicellular organisms have shown that codon bias plays a significant role in translation efficiency (TE) by co-adaptation to the tRNA pool. Yet, in humans and other mammals the role of codon bias is still an open question, with contradictory results from different studies. Here we address this question, performing a large-scale tissue-specific analysis of TE in humans, using the tRNA Adaptation Index (tAI) as a direct measure for TE. We find tAI to significantly correlate with expression levels both in tissue-specific and in global expression measures, testifying to the TE of human tissues. Interestingly, we find significantly higher correlations in adult tissues as opposed to fetal tissues, suggesting that the tRNA pool is more adjusted to the adult period. Optimization based analysis suggests that the tRNA pool—codon bias co-adaptation is globally (and not tissue-specific) driven. Additionally, we find that tAI correlates with several measures related to the protein functionally importance, including gene essentiality. Using inferred tissue-specific tRNA pools lead to similar results and shows that tissue-specific genes are more adapted to their tRNA pool than other genes and that related sets of functional gene groups are translated efficiently in each tissue. Similar results are obtained for other mammals. Taken together, these results demonstrate the role of codon bias in TE in humans, and pave the way for future studies of tissue-specific TE in multicellular organisms.     

Ants adjust their pheromone deposition to a changing environment and their probability of making errors

Animals must contend with an ever-changing environment. Social animals, especially eusocial insects such as ants and bees, rely heavily on communication for their success. However, in a changing environment, communicated information can become rapidly outdated. This is a particular problem for pheromone trail using ants, as once deposited pheromones cannot be removed. Here, we study the response of ant foragers to an environmental change. Ants were trained to one feeder location, and the feeder was then moved to a different location. We found that ants responded to an environmental change by strongly upregulating pheromone deposition immediately after experiencing the change. This may help maintain the colony''s foraging flexibility, and allow multiple food locations to be exploited simultaneously. Our treatment also caused uncertainty in the foragers, by making their memories less reliable. Ants which had made an error but eventually found the food source upregulated pheromone deposition when returning to the nest. Intriguingly, ants on their way towards the food source downregulated pheromone deposition if they were going to make an error. This may suggest that individual ants can measure the reliability of their own memories and respond appropriately.     

Fast atom bombardment combined with tandem mass spectrometry for determining structures of small oligonucleotides

A study of small (n = 3 to 6) oligonucleotide and the metastable and collisionally activated decompositions of their (M-H)- species desorbed by using fast atom bombardment (FAB) is reported. Data were obtained for both ribo- and 2'-deoxyribotrinucleotides and for 2'-deoxyribotetra-, penta-, and hexanucleotides. The favored metastable decompositions of all of the oligonucleotides studied are eliminations of neutral CONH and loss of BH, where B is the base moiety. The BH elimination, however, provides little sequence information in the higher oligonucleotides and the process is more indicative of the different bases present in the oligomer. The chemistry observed upon collisional activation changes as one goes from trinucleotides to hexanucleotides. The formation of sequence ions is more facile for processes involving the 3' terminus, allowing the sequence to be determined. As one goes to the higher oligonucleotides, however, several different competitive fragmentation processes become as facile as or more facile than the reactions giving the sequence ions. This hinders proper ion assignments and makes sequence determination difficult.     

Pheromone trail following in the ant Lasius niger: high accuracy and variability but no effect of task state

The use of pheromone trails in ant colony organization is an important model for understanding collective decision‐making and complex adaptive systems. The ant Lasius niger L. (Hymenoptera: Fomicidae) is one of the main model organisms used for such studies. Key to understanding pheromone trail use by ants is knowing how well trails are followed. The results of a previous study suggest that L. niger trail following is poor, with between 60% and 70% accuracy at a T bifurcation. It is hypothesized that the true trail following accuracy is higher, and that the low accuracy reported previously is the result of a methodological error. Specifically, it is hypothesized that ‘task state’ (i.e. what the ants ‘thought they were doing’) affected pheromone following accuracy. In the present study, the task state of the ants is set experimentally to one of three states: scouting (completely naive), recruited (having information that food has been found, but not where it is) and shuttling (having a strong memory of the location of a food source). Trail following accuracy is tested for each group. Trail following is found to be more accurate than previously reported: 83%, 82% and 74% correct decisions for scouts, recruits and shuttlers, respectively. However, the difference between the three groups is not significant. Importantly, very high inter‐trial variation is reported both in the present study and in experiments from other research groups. This variation is unexplainable by trail strengths or colony‐level differences, and is highlighted as an important factor when experimentally measuring trail following.     

Cole Disease Results from Mutations in ENPP1

The coexistence of abnormal keratinization and aberrant pigmentation in a number of cornification disorders has long suggested a mechanistic link between these two processes. Here, we deciphered the genetic basis of Cole disease, a rare autosomal-dominant genodermatosis featuring punctate keratoderma, patchy hypopigmentation, and uncommonly, cutaneous calcifications. Using a combination of exome and direct sequencing, we showed complete cosegregation of the disease phenotype with three heterozygous ENPP1 mutations in three unrelated families. All mutations were found to affect cysteine residues in the somatomedin-B-like 2 (SMB2) domain in the encoded protein, which has been implicated in insulin signaling. ENPP1 encodes ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), which is responsible for the generation of inorganic pyrophosphate, a natural inhibitor of mineralization. Previously, biallelic mutations in ENPP1 were shown to underlie a number of recessive conditions characterized by ectopic calcification, thus providing evidence of profound phenotypic heterogeneity in ENPP1-associated genetic diseases.     

Interactive Visualization and Industrial Ecology: Applications,Challenges, and Opportunities

The emergence of increasingly complex data in industrial ecology (IE) has caused scholarly interest in interactive visualization (IV). IV allows users to interact with data, aiding in processing and interpreting complex datasets, processes, and simulations. Consequently, IV can help IE practitioners communicate the complexities of their methods and results, shed light on the underlying research assumptions, and enable more transparent monitoring of data quality and error. This can significantly increase the reach and impact of research, promote transparency, reproducibility, and open science, as well as improve the clarity and presentation of IE research. A review of current IV applications reveals that, while data exploration has received some attention among IE practitioners, IV applications in scientific communication are clearly lacking. With the help of a working example, we explore the value of IV, discuss its operationalization, and highlight challenges that the IE community must face during IV uptake. Such challenges include technical and knowledge limitations, limits on user interaction, and implementation strategies. With these challenges in mind, we outline key aspects needed to lift the IE field to the forefront of scientific communication in the coming years. Among these, we draft the basic principles of a “Hub for Interactive Visualization in Industrial Ecology” (HIVE), a point of encounter where IE practitioners could find an array of data visualization tools that are geared toward IE datasets. IV is here to stay, and its inceptive stage presents many opportunities to IE practitioners to shape its operationalization and benefit from early adoption.     

Lipid droplets regulate autophagosome biogenesis

The source of the autophagic membrane and the regulation of autophagosome biogenesis are still elusive open issues in the field of autophagy. In our recent study of the role of lipid droplets (LDs) and their constituents in autophagy, we provided evidence that both the biogenesis of LDs and its lipolysis by specific lipases are important for autophagosome biogenesis. Our study sheds new light on the source of the autophagic membrane and suggests that a flow of membranes from the endoplasmic reticulum (ER) to LDs, and from LDs to the ER, is essential for autophagosome biogenesis.