Impacts of Various Connectivity Processes in Central Asia on Sustainable Development of Kyrgyzstan

Kyrgyzstan is facing a strategically important period in its history. The government’s ambition of reindustrializing is affecting its engagement with various international organizations and donors. As these plans will lead to societal transition and affect such areas as social development, national economy, and environment, a careful consideration of their impacts is required, especially given the country’s need to achieve sustainable development. At the same time, the geographical position of Kyrgyzstan puts it at the cross-roads of three distinct regional economic connectivity processes: the Eurasian Economic Union (EAEU), the China-led Belt and Road Initiative (BRI), and various connectivity initiatives and projects taking place under the umbrella of the European Union (EU). A major issue is the extent to which Kyrgyzstan can leverage these processes to boost its economic revitalization plans and decarbonize its economy in line with international climate change mitigation and energy security policies, while ensuring a reliable energy supply. As a result, novel governance mechanisms need to be established that address the possible impacts of these economic connectivity processes; this is especially important given the frequently diverging perceptions and opinions of the various Kyrgyz and foreign stakeholders involved in industrial policymaking. Perceptual heterogeneity influences the development of solutions based on compromise and participatory governance that are crucial to implementing different industrial policy options; it also impacts the nature of the economic relationship between Kyrgyzstan and other countries in the Central Asian region. The aim of this paper is to understand the implications of perceptual heterogeneity for the various connectivity processes in Kyrgyzstan, their benefits, and their impacts. The methodology of this paper includes a variety of methods such as surveys and interviews with key stakeholders, scenario development, and participatory workshops in various regions of the country

Genetic and Non-genetic Predictors of LINE-1 Methylation in Leukocyte DNA

Background: Altered DNA methylation has been associated with various diseases. Objective: We evaluated the association between levels of methylation in leukocyte DNA at long interspersed nuclear element 1 (LINE-1) and genetic and non-genetic characteristics of 892 control participants from the Spanish Bladder Cancer/EPICURO study. Methods: We determined LINE-1 methylation levels by pyrosequencing. Individual data included demographics, smoking status, nutrient intake, toenail concentrations of 12 trace elements, xenobiotic metabolism gene variants, and 515 polymorphisms among 24 genes in the one-carbon metabolism pathway. To assess the association between LINE-1 methylation levels (percentage of methylated cytosines) and potential determinants, we estimated beta coefficients (βs) by robust linear regression. Results: Women had lower levels of LINE-1 methylation than men (β = –0.7, p = 0.02). Persons who smoked blond tobacco showed lower methylation than nonsmokers (β = –0.7, p = 0.03). Arsenic toenail concentration was inversely associated with LINE-1 methylation (β = –3.6, p = 0.003). By contrast, iron (β = 0.002, p = 0.009) and nickel (β = 0.02, p = 0.004) were positively associated with LINE-1 methylation. Single nucleotide polymorphisms (SNPs) in DNMT3A (rs7581217-per allele, β = 0.3, p = 0.002), TCN2 (rs9606756-GG, β = 1.9, p = 0.008; rs4820887-AA, β = 4.0, p = 4.8 × 10–7; rs9621049-TT, β = 4.2, p = 4.7 × 10–9), AS3MT (rs7085104-GG, β = 0.7, p = 0.001), SLC19A1 (rs914238, TC vs. TT: β = 0.5 and CC vs. TT: β = –0.3, global p = 0.0007) and MTHFS (rs1380642, CT vs. CC: β = 0.3 and TT vs. CC; β = –0.8, global p = 0.05) were associated with LINE-1 methylation. Conclusions: We identified several characteristics, environmental factors, and common genetic variants that predicted DNA methylation among study participants

Report of the ICCAT GBYP international workshop on Atlantic bluefin tuna growth

In the last Atlantic bluefin tuna assessment, an age-length database coming from direct ageing was presented for the first time. It was observed that otolith age estimates for fish younger than 8 years old had a smaller size at age compared to spine (first dorsal fin radius) age estimates. This difference, although small, was enough to misallocate the year class. This misallocation was solved when introducing a vector of bias corrected aged otoliths based on paired otolithspine samples. We have identified two possible causes for over-estimating age in the otolith agelength data: the current age adjustment criterion (to convert the bands counting into ages) and a reading bias in age estimations from some laboratories. Otolith preparation and reading protocols have been reviewed. The edge type and marginal increment analysis showed that the formation of opaque zones would seem likely to occur primarily between December through to June, contrary to what was thought until now, for which a new criterion for age adjustment has been proposed