Individuality in the vocalizations of infant and adult coppery titi monkeys (Plecturocebus cupreus)

As social animals, many primates use acoustic communication to maintain relationships. Vocal individuality has been documented in a diverse range of primate species and call types, many of which have presumably different functions. Auditory recognition of one's neighbors may confer a selective advantage if identifying conspecifics decreases the need to participate in costly territorial behaviors. Alternatively, vocal individuality may be nonadaptive and the result of a unique combination of genetics and environment. Pair-bonded primates, in particular, often participate in coordinated vocal duets that can be heard over long distances by neighboring conspecifics. In contrast to adult calls, infant vocalizations are short-range and used for intragroup communication. Here, we provide two separate but complementary analyses of vocal individuality in distinct call types of coppery titi monkeys (Plecturocebus cupreus) to test whether individuality occurs in call types from animals of different age classes with presumably different functions. We analyzed 600 trill vocalizations from 30 infants and 169 pulse-chirp duet vocalizations from 30 adult titi monkeys. We predicted that duet contributions would exhibit a higher degree of individuality than infant trills, given their assumed function for long-distance, intergroup communication. We estimated 7 features from infant trills and 16 features from spectrograms of adult pulse-chirps, then used discriminant function analysis with leave-one-out cross-validation to classify individuals. We correctly classified infants with 48% accuracy and adults with 83% accuracy. To further investigate variance in call features, we used a multivariate variance components model to estimate variance partitioning in features across two levels: within- and between-individuals. Between-individual variance was the most important source of variance for all features in adults, and three of four features in infants. We show that pulse-chirps of adult titi monkey duets are individually distinct, and infant trills are less individually distinct, which may be due to the different functions of the vocalizations.     

The Clostridium perfringens Tet P determinant comprises two overlapping genes: tetA(P), which mediates active tetracycline efflux, and tetB(P), which is related to the ribosomal protection family of tetracycline-resistance determinants

The complete nucleotide sequence and mechanism of action of the tetracycline-resistance determinant Tet P, from Clostridium perfringens has been determined. Analysis of the 4.4 kb of sequence data revealed the presence of two open reading frames, designated as tetA(P) and tetB(P), The tetA(P) gene appears to encode a 420 amino acid protein (molecular weight 46079) with twelve transmembrane domains. This gene was shown to be responsible for the active efflux of tetracycline from resistant ceils. Although there was some amino acid sequence similarity between the putative TetA(P) protein and other tetracycline efflux proteins, analysis suggested that TetA(P) represented a different type of efflux protein. The tetB(P) gene would encode a putative 652 amino acid protein (molecular weight 72639) with significant sequence similarity to Tet(M)-like cytoplasmic proteins that specify a ribosomal-protection tetracycline-resistance mechanism. In both C. perfringens and Escherichia coli. tetB(P) encoded low-level resistance to tetracycline and minocycline whereas tetA(P) only conferred tetracycline resistance. The tetA(P) and tetB(P) genes appeared to be linked in an operon, which represented a novel genetic arrangement for tetracycline-resistance determinants. It is proposed that tetB(P) evolved from the conjugative transfer into C. perfringens of a fer (M)-like gene from another bacterium.     

Genome-wide screen identifies rs646776 near sortilin as a regulator of progranulin levels in human plasma

Recent studies suggest progranulin (GRN) is a neurotrophic factor. Loss-of-function mutations in the progranulin gene (GRN) cause frontotemporal lobar degeneration (FTLD), a progressive neurodegenerative disease affecting ∼10% of early-onset dementia patients. Using an enzyme-linked immunosorbent assay, we previously showed that GRN is detectable in human plasma and can be used to predict GRN mutation status. This study also showed a wide range in plasma GRN levels in non-GRN mutation carriers, including controls. We have now performed a genome-wide association study of 313,504 single-nucleotide polymorphisms (SNPs) in 533 control samples and identified on chromosome 1p13.3 two SNPs with genome-wide significant association with plasma GRN levels (top SNP rs646776; p = 1.7 × 10⁻³⁰). The association of rs646776 with plasma GRN levels was replicated in two independent series of 508 controls (p = 1.9 × 10⁻¹⁹) and 197 FTLD patients (p = 6.4 × 10⁻¹²). Overall, each copy of the minor C allele decreased GRN levels by ∼15%. SNP rs646776 is located near sortilin (SORT1), and the minor C allele of rs646776 was previously associated with increased SORT1 mRNA levels. Supporting these findings, overexpression of SORT1 in cultured HeLa cells dramatically reduced GRN levels in the conditioned media, whereas knockdown of SORT1 increased extracellular GRN levels. In summary, we identified significant association of a locus on chromosome 1p13.3 with plasma GRN levels through an unbiased genome-wide screening approach and implicated SORT1 as an important regulator of GRN levels. This finding opens avenues for future research into GRN biology and the pathophysiology of neurodegenerative diseases.     

Synergistic effects of zinc oxide nanoparticles and various antibiotics combination against Pseudomonas aeruginosa clinically isolated bacterial strains

P. aeruginosa causes mostly both community-acquired and nosocomial infections, which leads to serious therapeutic challenges for treatment and requirement of appropriate therapeutic agent is needed which can combat antibiotic resistance. The research work was performed to investigate the effect of Zinc Oxide nanoparticles (ZnO NPs) in combination with Meropenem, Ciprofloxacin, and Colistin against clinical isolated strains of P. aeruginosa and ATCC 27853 strain.The minimum inhibitory concentration (MIC) of ZnO NPs and the antibiotics (Meropenem, Ciprofloxacin, and Colistin), was determined by the microdilution method and the results of MIC values were ranging between 1 and 16 µg/mL was found to be shown for antibiotics and ZnO NPs found to showed highest MIC values ranging from 2000 to 4000 µg/mL. The fractional inhibitory concentration index (FICI) was calculated using checkerboard method to test the combinations of ZnO NPs and the antibiotics (Meropenem, Ciprofloxacin, and Colistin), and among all the six P. aeruginosa clinical isolated strains P. aeruginosa (MRO-16-3 and MRO-16-4), showed FICI as 0.24 and 0.39 9, whereas P. aeruginosa ATCC 27853 strain showed FICI as 0.41 which indicates synergistic effect with Colistin.The time kill growth curve showed synergistic effect for the combination of Colistin and ZnO NPs against P. aeruginosa (MRO-16-3 and MRO-16-) strains. P. aeruginosa (MRO-16-3) was found to be highly sensitive to Colistin with an MIC of 2 µg/mL, which has shown to reduced bacterial growth to zero colonies after 24 h of incubation.In conclusion, combination of Colistin and ZnO NPs at appropriate dosage intervals might be beneficial as using therapeutic agent in treatment of P. aeruginosa ailments.     

Using a Dynamic Model to Consider Optimal Antiviral Stockpile Size in the Face of Pandemic Influenza Uncertainty

Background

The Canadian National Antiviral Stockpile (NAS) contains treatment for 17.5% of Canadians. This assumes no concurrent intervention strategies and no wastage due to non-influenza respiratory infections. A dynamic model can provide a mechanism to consider complex scenarios to support decisions regarding the optimal NAS size under uncertainty.

Methods

We developed a dynamic model for pandemic influenza in Canada that is structured by age and risk to calculate the demand for antivirals to treat persons with pandemic influenza under a wide-range of scenarios that incorporated transmission dynamics, disease severity, and intervention strategies. The anticipated per capita number of acute respiratory infections due to viruses other than influenza was estimated for the full pandemic period from surveys based on criteria to identify potential respiratory infections.

Results

Our results demonstrate that up to two thirds of the population could develop respiratory symptoms as a result of infection with a pandemic strain. In the case of perfect antiviral allocation, up to 39.8% of the population could request antiviral treatment. As transmission dynamics, severity and timing of the emergence of a novel influenza strain are unknown, the sensitivity analysis produced considerable variation in potential demand (median: 11%, IQR: 2–21%). If the next pandemic strain emerges in late spring or summer and a vaccine is available before the anticipated fall wave, the median prediction was reduced to 6% and IQR to 0.7–14%. Under the strategy of offering empirical treatment to all patients with influenza like symptoms who present for care, demand could increase to between 65 and 144%.

Conclusions

The demand for antivirals during a pandemic is uncertain. Unless an accurate, timely and cost-effective test is available to identify influenza cases, demand for antivirals from persons infected with other respiratory viruses will be substantial and have a significant impact on the NAS.     

Estimating Influenza Deaths in Canada, 1992–2009

Background

Poisson regression modelling has been widely used to estimate the disease burden attributable to influenza, though not without concerns that some of the excess burden could be due to other causes. This study aims to provide annual estimates of the mortality and hospitalization burden attributable to both seasonal influenza and the 2009 A/H1N1 pandemic influenza for Canada, and to discuss issues related to the reliability of these estimates.

Methods

Weekly time-series for all-cause mortality and regression models were used to estimate the number of deaths in Canada attributable to influenza from September 1992 to December 2009. To assess their robustness, the annual estimates derived from different parameterizations of the regression model for all-cause mortality were compared. In addition, the association between the annual estimates for mortality and hospitalization by age group, underlying cause of death or primary reason for admission and discharge status is discussed.

Results

The crude influenza-attributed mortality rate based on all-cause mortality and averaged over 17 influenza seasons prior to the 2009 A/H1N1 pandemic was 11.3 (95%CI, 10.5 - 12.1) deaths per 100 000 population per year, or an average of 3,500 (95%CI, 3,200 - 3,700) deaths per year attributable to seasonal influenza. The estimated annual rates ranged from undetectable at the ecological level to more than 6000 deaths per year over the three A/Sydney seasons. In comparison, we attributed an estimated 740 deaths (95%CI, 350–1500) to A(H1N1)pdm09. Annual estimates from different model parameterizations were strongly correlated, as were estimates for mortality and morbidity; the higher A(H1N1)pdm09 burden in younger age groups was the most notable exception.

Interpretation

With the exception of some of the Serfling models, differences in the ecological estimates of the disease burden attributable to influenza were small in comparison to the variation in disease burden from one season to another.     

Spo0A Differentially Regulates Toxin Production in Evolutionarily Diverse Strains of Clostridium difficile

Clostridium difficile is an important pathogen of humans and animals, representing a significant global healthcare problem. The last decade has seen the emergence of epidemic BI/NAP1/027 and ribotype 078 isolates, associated with the onset of more severe disease and higher rates of morbidity and mortality. However, little is known about these isolates at the molecular level, partly due to difficulties in the genetic manipulation of these strains. Here we report the development of an optimised Tn916-mediated plasmid transfer system, and the use of this system to construct and complement spo0A mutants in a number of different C. difficile strain backgrounds. Spo0A is a global regulator known to control sporulation, but may also be involved in the regulation of potential virulence factors and other phenotypes. Recent studies have failed to elucidate the role of Spo0A in toxin A and toxin B production by C. difficile, with conflicting data published to date. In this study, we aimed to clarify the role of Spo0A in production of the major toxins by C. difficile. Through the construction and complementation of spo0A mutants in two ribotype 027 isolates, we demonstrate that Spo0A acts as a negative regulator of toxin A and toxin B production in this strain background. In addition, spo0A was disrupted and subsequently complemented in strain 630Δerm and, for the first time, in a ribotype 078 isolate, JGS6133. In contrast to the ribotype 027 strains, Spo0A does not appear to regulate toxin production in strain 630Δerm. In strain JGS6133, Spo0A appears to negatively regulate toxin production during early stationary phase, but has little effect on toxin expression during late stationary phase. These data suggest that Spo0A may differentially regulate toxin production in phylogenetically distinct C. difficile strain types. In addition, Spo0A may be involved in regulating some aspects of C. difficile motility.