Life Table Analysis for Immatures and Female Adults of the Predatory Beetle, Delphastus catalinae, Feeding on Whiteflies Under Three Constant Temperatures

Immature development and reproductive life history of Delphastus catalinae (Horn) (Coleoptera: Coccinellidae) feeding on Bemisia tabaci biotype B (Gennadius) (Homoptera: Aleyrodidae) (= B. argentifolii Bellows and Perring) immatures was studied at three constant temperatures: 22, 26 and 30 °C. Lower developmental threshold temperatures (T0) were estimated at 9 and 9.9 °C, for males and females, respectively. Female adults weighed slightly more than males (0.587 and 0.505 mg, respectively). As temperature increased from 22 to 30 °C, developmental time from eggs to eclosion of the adult declined from 24 to 15 days. Thermal units required for immature development was ∼300 degree-days. Percentage egg hatch declined at increasing temperatures, but no significant effect of time was found. The intrinsic rate of increase, r, increased from 0.048 to 0.082 and doubling time decreased from 14.44 to 8.45 days as temperature increased from 22 to 26 °C. Mean daily fecundity was modeled as a function of time and temperature to create a 3-dimensional surface. Overall, Delphastus catalinae was found to perform better at 22 and 26 °C while 30 °C was detrimental to immature development and adult reproduction

Life Table Analysis for Immatures and Female Adults of the Predatory Beetle, Delphastus catalinae, Feeding on Whiteflies Under Three Constant Temperatures

Immature development and reproductive life history of Delphastus catalinae (Horn) (Coleoptera: Coccinellidae) feeding on Bemisia tabaci biotype B (Gennadius) (Homoptera: Aleyrodidae) (= B. argentifolii Bellows and Perring) immatures was studied at three constant temperatures: 22, 26 and 30 °C. Lower developmental threshold temperatures (T0) were estimated at 9 and 9.9 °C, for males and females, respectively. Female adults weighed slightly more than males (0.587 and 0.505 mg, respectively). As temperature increased from 22 to 30 °C, developmental time from eggs to eclosion of the adult declined from 24 to 15 days. Thermal units required for immature development was ∼300 degree-days. Percentage egg hatch declined at increasing temperatures, but no significant effect of time was found. The intrinsic rate of increase, r, increased from 0.048 to 0.082 and doubling time decreased from 14.44 to 8.45 days as temperature increased from 22 to 26 °C. Mean daily fecundity was modeled as a function of time and temperature to create a 3-dimensional surface. Overall, Delphastus catalinae was found to perform better at 22 and 26 °C while 30 °C was detrimental to immature development and adult reproduction

A comparative study of the foraging behaviour of two species of Diadegma (Hymenoptera: Ichneumonidae) attacking the diamond-back moth.

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Applications and Future Opportunities

Cost-benefit analysis (CBA) is the root of Health Economics and is based on the welfare theory. CBA is the broadest economic evaluation (EE) method that assesses all benefits and costs in monetary units; the production of welfare is expressed in terms of net benefit (the difference between benefits and costs). The main goal in the welfarist approach is to maximize welfare according to individuals preferences. The application of CBA principles faces multiple obstacles, mainly because valuing health in terms of monetary units is challenging and raises ethical and methodological constraints. In the health sector, CBA has received relevant criticism, leading to the emergence and adoption of other methods of EE, such as cost-effectiveness analysis (CEA) and cost-utility analysis (CUA). However, attempts to apply welfarist principles to CEA were far of being accepted, and consensus among health economists in this regard still does not exist. The extra-welfarist approach encompassing CEA and CUA has progressed toward maximizing health outcomes and focusing on equity and fairness issues. The most common technique used in CBA to elicit preferences is the contingent valuation (willingness to pay). Despite the challenging task of valuing mental health outcomes, some studies demonstrate the feasibility of this technique in people with mental disorders, though some level of inconsistency and inaccuracy in respondents answers was reported. Despite methodological limitations among all EE methods applied to health, there is a growing interest in CBA and, more specifically, in discrete choice experiment, especially for health services and public health policies, and in exploring patients treatment preferences. The Mental Health field adds challenges to CBA regarding the complexity of defining and measuring outcomes representing mental health maximization. Document type: Boo

Comparative analyses of multi-species sequences from targeted genomic regions

The systematic comparison of genomic sequences from different organisms represents a central focus of contemporary genome analysis. Comparative analyses of vertebrate sequences can identify coding and conserved non-coding regions, including regulatory elements, and provide insight into the forces that have rendered modern-day genomes. As a complement to whole-genome sequencing efforts, we are sequencing and comparing targeted genomic regions in multiple, evolutionarily diverse vertebrates. Here we report the generation and analysis of over 12 megabases (Mb) of sequence from 12 species, all derived from the genomic region orthologous to a segment of about 1.8 Mb on human chromosome 7 containing ten genes, including the gene mutated in cystic fibrosis. These sequences show conservation reflecting both functional constraints and the neutral mutational events that shaped this genomic region. In particular, we identify substantial numbers of conserved non-coding segments beyond those previously identified experimentally, most of which are not detectable by pair-wise sequence comparisons alone. Analysis of transposable element insertions highlights the variation in genome dynamics among these species and confirms the placement of rodents as a sister group to the primates

Longitudinal shift in diabetic wound microbiota correlates with prolonged skin defense response

Diabetics frequently suffer from chronic, nonhealing wounds. Although bacterial colonization and/or infection are generally acknowledged to negatively impact wound healing, the precise relationship between the microbial community and impaired wound healing remains unclear. Because the host cutaneous defense response is proposed to play a key role in modulating microbial colonization, we longitudinally examined the diabetic wound microbiome in tandem with host tissue gene expression. By sequencing 16S ribosomal RNA genes, we show that a longitudinal selective shift in wound microbiota coincides with impaired healing in diabetic mice (Leprdb/db; db/db). We demonstrate a parallel shift in longitudinal gene expression that occurs in a cluster of genes related to the immune response. Further, we establish a correlation between relative abundance of Staphylococcus spp. and the expression of cutaneous defense response genes. Our data demonstrate that integrating two types of global datasets lends a better understanding to the dynamics governing host–microbe interactions