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Fluctuations in temperature are recognized as a potent driver of selection pressure, fostering genomic variations that are crucial for the adaptation and survival of organisms under selection. Notably, water temperature is a pivotal factor influencing aquatic organism persistence. By comprehending how aquatic organisms respond to shifts in water temperature, we can understand their potential physiological adaptations to environmental change in one or multiple species. This, in turn, contributes to the formulation of biologically relevant guidelines for the landscape scale transcriptome profile of organisms in lotic systems. Here, we investigated the distinct responses of seven stream stonefly species, collected from four geographical regions across Japan, to variations in temperature, including atmospheric and water temperatures. We achieved this by assessing the differences in gene expression through RNA-sequencing within individual species and exploring the patterns of community-genes among different species. We identified 735 genes that exhibited differential expressions across the temperature gradient. Remarkably, the community displayed expression levels differences of respiration and metabolic genes. Additionally, the diversity in molecular functions appeared to be linked to spatial variation, with water temperature differences potentially contributing to the overall functional diversity of genes. We found 22 community-genes with consistent expression patterns among species in response to water temperature variations. These genes related to respiration, metabolism and development exhibited a clear gradient providing robust evidence of divergent adaptive responses to water temperature. Our findings underscore the differential adaptation of stonefly species to local environmental conditions, suggesting that shared responses in gene expression may occur across multiple species under similar environmental conditions. This study emphasizes the significance of considering various species when assessing the impacts of environmental changes on aquatic insect communities and understanding potential mechanisms to cope with such changes., (© 2024 Wiley Periodicals LLC.)

Patients with dysphagia have difficulty swallowing oral medications. Swallowing aid foods, such as deglutition aid jellies and food thickeners, are often used to help such patients take oral medications. Yogurt is occasionally used to help swallow medications. It is also advantageous as it is nutritious and easy to swallow. However, the influence of yogurt on the pharmacokinetics of oral medications is poorly understood. In this study, we aimed to evaluate yogurt as a potential swallowing aid for the intake of oral tablets, by comparing the physical properties and effects of yogurt on disintegration and dissolution profiles of various oral tablets with deglutition aid jelly and xanthan gum-based food thickener. Yogurt and the food thickener were found to extend the disintegration time of several tablets; however, this increase was unremarkable. Although dissolution of magnesium oxide tablets decreased by 6%, 14%, and 25% after immersion in deglutition aid jelly, food thickener, and yogurt, respectively, at 15 min, this impact on dissolution reduced over time (dissolution rates of all samples at 120 min were over 90%). Rheological measurements showed that yogurt and food thickeners have a weak gel structure and therefore have better fluidity than deglutition aid jelly. The adhesiveness and dynamic viscosity of yogurt were higher than those of the food thickener, which delayed tablet disintegration and reduced the dissolution rate. However, these effects were not substantial. We can thus conclude that yogurt may be a useful swallowing aid for patients with deglutition disorders who take oral medications., (© 2022 The Authors. Journal of Texture Studies published by Wiley Periodicals LLC.)

The objectives of this study were to estimate the heritability of mastitis incidence and genetic correlations between the mastitis and the somatic cell score (SCS) statistics, and to compare the practicability between different models. We used test-day records with the mastitis incidence and SCS collected from Holstein cows calving from 1988 to 2015 in Hokkaido, Japan. As indicators of mastitis, the average SCS (avSCS), the standard deviation of SCS (sdSCS), and the maximum SCS (maxSCS) were calculated using test-day records up to the first 305 days in milk within a lactation. We compared a four-trait repeatability animal model (MTRP) with a four-trait multiple-lactation animal model (MTML). The heritability for mastitis was equal to or lower than 0.05 in all the models. Genetic correlations between lactations with MTML within the same trait were positive and close to 1. With MTRP, the estimated genetic correlations of the mastitis incidence with avSCS, sdSCS, and maxSCS were 0.66, 0.79, and 0.82, respectively. A joint evaluation with SCS statistics is expected to give an extra reliability for mastitis because of high and positive genetic correlations among the traits., (© 2019 Japanese Society of Animal Science.)