Host-Parasite Interactions in Chagas Disease: Genetically Unidentical Isolates of a Single Trypanosoma cruzi Strain Identified In Vitro via LSSP-PCR

The present study aims at establishing whether the diversity in pathogenesis within a genetically diverse host population infected with a single polyclonal strain of Trypanosoma cruzi is due to selection of specific subpopulations within the strain. For this purpose we infected Swiss mice, a genetically diverse population, with the polyclonal strain of Trypanosoma cruzi Berenice-78 and characterized via LSSP-PCR the kinetoplast DNA of subpopulations isolated from blood samples collected from the animals at various times after inoculation (3, 6 and 12 months after inoculation). We examined the biological behavior of the isolates in acellular medium and in vitro profiles of infectivity in Vero cell medium. We compared the characteristics of the isolates with the inoculating strain and with another strain, Berenice 62, isolated from the same patient 16 years earlier. We found that one of the isolates had intermediate behavior in comparison with Berenice-78 and Berenice-62 and a significantly different genetic profile by LSSP-PCR in comparison with the inoculating strain. We hereby demonstrate that genetically distinct Trypanosoma cruzi isolates may be obtained upon experimental murine infection with a single polyclonal Trypanosoma cruzi strain.     

A novel snoRNA (U73) is encoded within the introns of the human and mouse ribosomal protein S3a genes

The mouse ribosomal protein S3a-encoding gene (mRPS3a) was cloned and sequenced in this study. mRPS3a shares identical exon/intron structure with its human counterpart. Both genes are split to six exons and exhibit remarkable conservation of the promoter region (68.8% identity in the 250 bp upstream of cap site) and coding region (the proteins differ in two amino acids). mRPS3a displays many features common to other r-protein genes, including the CpG-island at 5′-end of the gene, cap site within an oligopyrimidine tract and no consensus TATA or CAAT boxes. However, mRPS3a represents a rare subclass of r-protein genes that possess a long coding sequence in the first exon. Comparison of human and mouse S3a genes revealed sequence fragments with striking similarity within introns 3 and 4. Here we demonstrate that these sequences encode for a novel small nucleolar RNA (snoRNA) designated U73. U73 contains C, D and D′ boxes and a 12-nucleotide antisense complementarity to the 28S ribosomal RNA. These features place U73 into the family of intron-encoded antisense snoRNAs that guide site-specific 2′-O-ribose methylation of pre-rRNA. We propose that U73 is involved in methylation of the G1739 residue of the human 28S rRNA. In addition, we present the mapping of human ribosomal protein S3a gene (hRPS3a) and internally nested U73 gene to the human chromosome 4q31.2–3.     

Genes encoding longevity: from model organisms to humans

Ample evidence from model organisms has indicated that subtle variation in genes can dramatically influence lifespan. The key genes and molecular pathways that have been identified so far encode for metabolism, maintenance and repair mechanisms that minimize age-related accumulation of permanent damage. Here, we describe the evolutionary conserved genes that are involved in lifespan regulation of model organisms and humans, and explore the reasons of discrepancies that exist between the results found in the various species. In general, the accumulated data have revealed that when moving up the evolutionary ladder, together with an increase of genome complexity, the impact of candidate genes on lifespan becomes smaller. The presence of genetic networks makes it more likely to expect impact of variation in several interacting genes to affect lifespan in humans. Extrapolation of findings from experimental models to humans is further complicated as phenotypes are critically dependent on the setting in which genes are expressed, while laboratory conditions and modern environments are markedly dissimilar. Finally, currently used methodologies may have only little power and validity to reveal genetic variation in the population. In conclusion, although the study of model organisms has revealed potential candidate genetic mechanisms determining aging and lifespan, to what extent they explain variation in human populations is still uncertain.     

Inhibition of growth and ochratoxin A biosynthesis in <Emphasis Type="Italic">Aspergillus carbonarius</Emphasis> by flavonoid and nonflavonoid compounds

The effect of naturally occurring phenolic compounds on Aspergillus carbonarius growth and ochratoxin A (OTA) production was studied. Caffeic acid and the flavonoids, rutin and quercetin, were added to Czapek Yeast Extract agar at concentrations ranging between 50 and 500 mg/l. All phenolic compounds had a significant influence on growth rate and lag phase of A. carbonarius at 250 mg/l. The growth was completely inhibited with 500 mg/l. In comparison with the control, a significant decrease in OTA production was observed with all phenolic compounds. In general, effect on growth was less evident than effect on toxin production. An inhibitory effect on growth and OTA production, as concentration was increased was observed in all cases. The response of A. carbonarius to the flavonoids, rutin and quercetin, was similar. The inhibitory effect of these natural phenolic compounds on fungal growth and OTA production could be an alternative to the use of chemical fungicides.     

Wolf population genetics in Europe: a systematic review,meta‐analysis and suggestions for conservation and management

The grey wolf (Canis lupus) is an iconic large carnivore that has increasingly been recognized as an apex predator with intrinsic value and a keystone species. However, wolves have also long represented a primary source of human–carnivore conflict, which has led to long‐term persecution of wolves, resulting in a significant decrease in their numbers, genetic diversity and gene flow between populations. For more effective protection and management of wolf populations in Europe, robust scientific evidence is crucial. This review serves as an analytical summary of the main findings from wolf population genetic studies in Europe, covering major studies from the ‘pre‐genomic era’ and the first insights of the ‘genomics era’. We analyse, summarize and discuss findings derived from analyses of three compartments of the mammalian genome with different inheritance modes: maternal (mitochondrial DNA), paternal (Y chromosome) and biparental [autosomal microsatellites and single nucleotide polymorphisms (SNPs)]. To describe large‐scale trends and patterns of genetic variation in European wolf populations, we conducted a meta‐analysis based on the results of previous microsatellite studies and also included new data, covering all 19 European countries for which wolf genetic information is available: Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Poland, Czech Republic, Slovakia, Germany, Belarus, Russia, Italy, Croatia, Bulgaria, Bosnia and Herzegovina, Greece, Spain and Portugal. We compared different indices of genetic diversity in wolf populations and found a significant spatial trend in heterozygosity across Europe from south‐west (lowest genetic diversity) to north‐east (highest). The range of spatial autocorrelation calculated on the basis of three characteristics of genetic diversity was 650?850 km, suggesting that the genetic diversity of a given wolf population can be influenced by populations up to 850 km away. As an important outcome of this synthesis, we discuss the most pressing issues threatening wolf populations in Europe, highlight important gaps in current knowledge, suggest solutions to overcome these limitations, and provide recommendations for science‐based wolf conservation and management at regional and Europe‐wide scales.     

Variants of the IL‐10 gene associate with muscle strength in elderly from rural Africa: a candidate gene study

Recently, it has been shown that the capacity of the innate immune system to produce cytokines relates to skeletal muscle mass and strength in older persons. The interleukin‐10 (IL‐10) gene regulates the production capacities of IL‐10 and tumour necrosis factor‐α (TNF‐α). In rural Ghana, IL‐10 gene variants associated with different production capacities of IL‐10 and TNF‐α are enriched compared with Caucasian populations. In this setting, we explored the association between these gene variants and muscle strength. Among 554 Ghanaians aged 50 years and older, we determined 20 single nucleotide polymorphisms in the IL‐10 gene, production capacities of IL‐10 and TNF‐α in whole blood upon stimulation with lipopolysaccharide (LPS) and handgrip strength as a proxy for skeletal muscle strength. We distinguished pro‐inflammatory haplotypes associated with low IL‐10 production capacity and anti‐inflammatory haplotypes with high IL‐10 production capacity. We found that distinct haplotypes of the IL‐10 gene associated with handgrip strength. A pro‐inflammatory haplotype with a population frequency of 43.2% was associated with higher handgrip strength (P = 0.015). An anti‐inflammatory haplotype with a population frequency of 7.9% was associated with lower handgrip strength (P = 0.006). In conclusion, variants of the IL‐10 gene contributing to a pro‐inflammatory cytokine response associate with higher muscle strength, whereas those with anti‐inflammatory response associate with lower muscle strength. Future research needs to elucidate whether these effects of variation in the IL‐10 gene are exerted directly through its role in the repair of muscle tissue or indirectly through its role in the defence against infectious diseases.     

Knock-Down of IL-1Ra in Obese Mice Decreases Liver Inflammation and Improves Insulin Sensitivity

Interleukin 1 Receptor antagonist (IL-1Ra) is highly elevated in obesity and is widely recognized as an anti-inflammatory cytokine. While the anti-inflammatory role of IL-1Ra in the pancreas is well established, the role of IL-1Ra in other insulin target tissues and the contribution of systemic IL-1Ra levels to the development of insulin resistance remains to be defined. Using antisense knock down of IL-1Ra in vivo, we show that normalization of IL-1Ra improved insulin sensitivity due to decreased inflammation in the liver and improved hepatic insulin sensitivity and these effects were independent of changes in body weight. A similar effect was observed in IL1-R1 KO mice, suggesting that at high concentrations of IL-1Ra typically observed in obesity, IL-1Ra can contribute to the development of insulin resistance in a mechanism independent of IL-1Ra binding to IL-1R1. These results demonstrate that normalization of plasma IL-1Ra concentration improves insulin sensitivity in diet- induced obese mice.