A genome-wide screening in Saccharomyces cerevisiae for genes that confer resistance to the anticancer agent cisplatin

Cisplatin is a potent DNA-damaging agent that has demonstrated anticancer activities against several tumors. However, manifestation of cellular resistance is a major obstacle in anticancer therapy that severely limits the curative potential of cisplatin. Therefore, understanding the molecular basis of cisplatin resistance could significantly improve the clinical efficacy of this anticancer agent. Here, we employed Saccharomyces cerevisiae as a model organism to study cisplatin resistance mechanisms and describe a one-step cisplatin selection to identify and characterize novel cisplatin resistance genes. Screening a multicopy yeast genomic library enabled us to isolate several yeast clones for which we could confirm that the cisplatin resistance phenotype was linked to the introduced fragment. In a first attempt, a number of open reading frames could be identified. Among these genes, PDE2 and ZDS2 were repeatedly identified as genes whose overexpression confers cellular resistance to cisplatin. PDE2, encoding cAMP-phosphodiesterase 2, is of particular interest because the overexpression of this yeast gene is known to induce cisplatin resistance in mammalian cells as well, providing proof of the principle of our experimental approach. In addition, the identification of PDE2 shows that our yeast screening system can directly be informative for drug resistance in mammalian cells.     

Upregulation of hepatic glucose 6-phosphatase gene expression in rats treated with an inhibitor of glucose-6-phosphate translocase

The multicomponent hepatic glucose 6-phosphatase (Glc-6-Pase) system catalyzes the terminal step of hepatic glucose production and plays a key role in the regulation of blood glucose. We used the chlorogenic acid derivative S 3483, a reversible inhibitor of the glucose-6-phosphate (Glc-6-P) translocase component, to demonstrate for the first time upregulation of Glc-6-Pase expression in rat liver in vivo after inhibition of Glc-6-P translocase. In accordance with its mode of action, S 3483-treatment of overnight-fasted rats induced hypoglycemia and increased blood lactate, hepatic Glc-6-P, and glycogen. The metabolic changes were accompanied by rapid and marked increases in Glc-6-Pase mRNA (above 35-fold), protein (about 2-fold), and enzymatic activity (about 2-fold). Maximal mRNA levels were reached after 4 h of treatment. Glycemia, blood lactate, and Glc-6-Pase mRNA levels returned to control values, whereas Glc-6-P and glycogen levels decreased but were still elevated 2 h after S 3483 withdrawal. The capacity for Glc-6-P influx was only marginally increased after 8.5 h of treatment. Prevention of hypoglycemia by euglycemic clamp did not abolish the increase in Glc-6-Pase mRNA induced by S 3483 treatment. A similar pattern of hypoglycemia and possibly of associated counterregulatory responses elicited by treatment with the phosphoenolpyruvate carboxykinase inhibitor 3-mercaptopicolinic acid could account for only a 2-fold induction of Glc-6-Pase mRNA. These findings suggest that the significant upregulation of Glc-6-Pase gene expression observed after treatment of rats in vivo with an inhibitor of Glc-6-P translocase is caused predominantly either by S 3483 per se or by the compound-induced changes of intracellular carbohydrate metabolism.     

Phylogenomic Analysis Reveals Deep Divergence and Recombination in an Economically Important Grapevine Virus

The evolutionary history of the exclusively grapevine (Vitis spp.) infecting, grapevine leafroll-associated virus 3 (GLRaV-3) has not been studied extensively, partly due to limited available sequence data. In this study we trace the evolutionary history of GLRaV-3, focussing on isolate GH24, a newly discovered variant. GH24 was discovered through the use of next-generation sequencing (NGS) and the whole genome sequence determined and validated with Sanger sequencing. We assembled an alignment of all 13 available whole genomes of GLRaV-3 isolates and all other publicly available GLRaV-3 sequence data. Using multiple recombination detection methods we identified a clear signal for recombination in one whole genome sequence and further evidence for recombination in two more, including GH24. We inferred phylogenetic trees and networks and estimated the ages of common ancestors of GLRaV-3 clades by means of relaxed clock models calibrated with asynchronous sampling dates. Our results generally confirm previously identified variant groups as well as two new groups (VII and VIII). Higher order groups were defined as supergroups designated A to D. Supergroup A includes variant groups I-V and supergroup B group VI and its related unclassified isolates. Supergroups C and D are less well known, including the newly identified groups VII (including isolate GH24) and VIII respectively. The inferred node ages suggest that the origins of the major groups of GLRaV-3, including isolate GH24, may have occurred prior to worldwide cultivation of grapevines, whilst the current diversity represents closely related isolates that diverged from common ancestors within the last century.     

Socio-Economic Instability and the Scaling of Energy Use with Population Size

The size of the human population is relevant to the development of a sustainable world, yet the forces setting growth or declines in the human population are poorly understood. Generally, population growth rates depend on whether new individuals compete for the same energy (leading to Malthusian or density-dependent growth) or help to generate new energy (leading to exponential and super-exponential growth). It has been hypothesized that exponential and super-exponential growth in humans has resulted from carrying capacity, which is in part determined by energy availability, keeping pace with or exceeding the rate of population growth. We evaluated the relationship between energy use and population size for countries with long records of both and the world as a whole to assess whether energy yields are consistent with the idea of an increasing carrying capacity. We find that on average energy use has indeed kept pace with population size over long time periods. We also show, however, that the energy-population scaling exponent plummets during, and its temporal variability increases preceding, periods of social, political, technological, and environmental change. We suggest that efforts to increase the reliability of future energy yields may be essential for stabilizing both population growth and the global socio-economic system.     

DNA barcodes reveal species-specific mercury levels in tuna sushi that pose a health risk to consumers

Excessive ingestion of mercury—a health hazard associated with consuming predatory fishes—damages neurological, sensory-motor and cardiovascular functioning. The mercury levels found in Bigeye Tuna (Thunnus obesus) and bluefin tuna species (Thunnus maccoyii, Thunnus orientalis, and Thunnus thynnus), exceed or approach levels permissible by Canada, the European Union, Japan, the US, and the World Health Organization. We used DNA barcodes to identify tuna sushi samples analysed for mercury and demonstrate that the ability to identify cryptic samples in the market place allows regulatory agencies to more accurately measure the risk faced by fish consumers and enact policies that better safeguard their health.     

A genetic map of melon highly enriched with fruit quality QTLs and EST markers, including sugar and carotenoid metabolism genes

A genetic map of melon enriched for fruit traits was constructed, using a recombinant inbred (RI) population developed from a cross between representatives of the two subspecies of Cucumis melo L.: PI 414723 (subspecies agrestis) and ‘Dulce’ (subspecies melo). Phenotyping of 99 RI lines was conducted over three seasons in two locations in Israel and the US. The map includes 668 DNA markers (386 SSRs, 76 SNPs, six INDELs and 200 AFLPs), of which 160 were newly developed from fruit ESTs. These ESTs include candidate genes encoding for enzymes of sugar and carotenoid metabolic pathways that were cloned from melon cDNA or identified through mining of the International Cucurbit Genomics Initiative database (http://www.icugi.org/). The map covers 1,222 cM with an average of 2.672 cM between markers. In addition, a skeleton physical map was initiated and 29 melon BACs harboring fruit ESTs were localized to the 12 linkage groups of the map. Altogether, 44 fruit QTLs were identified: 25 confirming QTLs described using other populations and 19 newly described QTLs. The map includes QTLs for fruit sugar content, particularly sucrose, the major sugar affecting sweetness in melon fruit. Six QTLs interacting in an additive manner account for nearly all the difference in sugar content between the two genotypes. Three QTLs for fruit flesh color and carotenoid content were identified. Interestingly, no clear colocalization of QTLs for either sugar or carotenoid content was observed with over 40 genes encoding for enzymes involved in their metabolism. The RI population described here provides a useful resource for further genomics and metabolomics studies in melon, as well as useful markers for breeding for fruit quality.     

Altered longevity‐assurance activity of p53:p44 in the mouse causes memory loss,neurodegeneration and premature death

The longevity‐assurance activity of the tumor suppressor p53 depends on the levels of Δ40p53 (p44), a short and naturally occurring isoform of the p53 gene. As such, increased dosage of p44 in the mouse leads to accelerated aging and short lifespan. Here we show that mice homozygous for a transgene encoding p44 (p44^+/+) display cognitive decline and synaptic impairment early in life. The synaptic deficits are attributed to hyperactivation of insulin‐like growth factor 1 receptor (IGF‐1R) signaling and altered metabolism of the microtubule‐binding protein tau. In fact, they were rescued by either Igf1r or Mapt haploinsufficiency. When expressing a human or a ‘humanized’ form of the amyloid precursor protein (APP), p44^+/+ animals developed a selective degeneration of memory‐forming and ‐retrieving areas of the brain, and died prematurely. Mechanistically, the neurodegeneration was caused by both paraptosis‐ and autophagy‐like cell deaths. These results indicate that altered longevity‐assurance activity of p53:p44 causes memory loss and neurodegeneration by affecting IGF‐1R signaling. Importantly, Igf1r haploinsufficiency was also able to correct the synaptic deficits of APP_695/swe mice, a model of Alzheimer’s disease.     

High-density lipoproteins downregulate CCL2 production in human fibroblast-like synoviocytes stimulated by urate crystals

Introduction  

To investigate whether monosodium urate (MSU) crystals induce the production of CCL2 (monocyte chemoattractant protein-1; MCP-1) in human fibroblast-like synoviocytes (FLS) and whether this mechanism would be affected by high-density lipoproteins (HDL).     

An electrostatic/hydrogen bond switch as the basis for the specific interaction of phosphatidic acid with proteins

Phosphatidic acid (PA) is a minor but important phospholipid that, through specific interactions with proteins, plays a central role in several key cellular processes. The simple yet unique structure of PA, carrying just a phosphomonoester head group, suggests an important role for interactions with the positively charged essential residues in these proteins. We analyzed by solid-state magic angle spinning 31P NMR and molecular dynamics simulations the interaction of low concentrations of PA in model membranes with positively charged side chains of membrane-interacting peptides. Surprisingly, lysine and arginine residues increase the charge of PA, predominantly by forming hydrogen bonds with the phosphate of PA, thereby stabilizing the protein-lipid interaction. Our results demonstrate that this electrostatic/hydrogen bond switch turns the phosphate of PA into an effective and preferred docking site for lysine and arginine residues. In combination with the special packing properties of PA, PA may well be nature's preferred membrane lipid for interfacial insertion of positively charged membrane protein domains.     

Crop evolution: from genetics to genomics

The advent of the genomics age has greatly facilitated the study of crop evolution. While full-scale genome sequencing projects are underway for just a handful of crop plants, recent years have witnessed a tremendous increase in the availability of DNA sequence data for virtually all major crops. Such resources have bolstered 'traditional' genetic approaches such as QTL mapping and candidate gene-based association studies. They have also allowed us to undertake genome-wide analyses in which we simultaneously consider the importance of a large and essentially random collection of genes. These sorts of analyses promise a more or less unbiased view of the genetic basis of crop evolution and will probably result in the identification of agronomically important genes that would have otherwise been overlooked.