Natural quantitative genetic variance in plant growth differs in response to ecologically relevant temperature heterogeneity

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Genome-Wide Linkage Analysis of Human Auditory Cortical Activation Suggests Distinct Loci on Chromosomes 2, 3, and 8

Neural processes are explored through macroscopic neuroimaging and microscopic molecular measures, but the two levels remain primarily detached. The identification of direct links between the levels would facilitate use of imaging signals as probes of genetic function and, vice versa, access to molecular correlates of imaging measures. Neuroimaging patterns have been mapped for a few isolated genes, chosen based on their connection with a clinical disorder. Here we propose an approach that allows an unrestricted discovery of the genetic basis of a neuroimaging phenotype in the normal human brain. The essential components are a subject population that is composed of relatives and selection of a neuroimaging phenotype that is reproducible within an individual and similar between relatives but markedly variable across a population. Our present combined magnetoencephalography and genome-wide linkage study in 212 healthy siblings demonstrates that auditory cortical activation strength is highly heritable and, specifically in the right hemisphere, regulated oligogenically with linkages to chromosomes 2q37, 3p12, and 8q24. The identified regions delimit as candidate genes TRAPPC9, operating in neuronal differentiation, and ROBO1, regulating projections of thalamocortical axons. Identification of normal genetic variation underlying neurophysiological phenotypes offers a non-invasive platform for an in-depth, concerted capitalization of molecular and neuroimaging levels in exploring neural function.Peer reviewe

Spring phenology shows genetic variation among and within populations in seedlings of Scots pine (Pinus sylvestris L.) in the Scottish Highlands

Background: Genetic differentiation in phenotypic traits is often observed among forest tree populations, but less is known about patterns of adaptive variation within populations. Such variation is expected to enhance the survival likelihood of extant populations under climate change. Aims: Scots pine (Pinus sylvestris) occurs over a spatially and temporally heterogeneous landscape in Scotland. Our goal was to examine whether populations had differentiated genetically in timing of bud flush in response to spatial heterogeneity and whether variation was also maintained within populations. Methods: Two common-garden studies, involving maternal families of seedlings from 21 native pinewoods, were established and variation in the trait was measured at the beginning of the second growing season. Results: Populations showed genetic differences in the trait correlated with the length of growing season at their site of origin, but the majority of variation was observed within populations. Populations also differed in their levels of variation in the trait; a pattern that may be influenced by spatial variation in the extent of temporal climate variability. Conclusions: Our findings suggest that populations have adapted to their home environments and that they also have substantial ability to adapt in situ to changes in growing season length

Joint trajectories of task value in multiple subject domains : From both variable- and pattern-centered perspectives

This study used variable- and pattern-centered approaches to better capture the impact of adolescents’ joint developmental trajectories of subjective task values (STVs) in three domains (Finnish, math and science, and social subject) from grades 9 to 11 on science, technology, engineering, and mathematics (STEM) aspirations at four years postsecondary school and STEM participation at six years postsecondary school (N = 849 Finnish youth; 52.1% female; 99% native Finnish). Results showed that while adolescents’ average STVs in different domains remained stable, three differential joint STV trajectories emerged across domains. Individual changes of STVs in one domain shaped STVs in other domains to form unique relative STV hierarchies within subgroups that impacted long-term STEM aspirations and participation. Gender differences in STV trajectory profile distributions partially explained the overall underrepresentation of women in STEM fields. This study is among the first to incorporate multiple domains and explore how STVs fluctuate over time in both homogeneous and heterogeneous fashions. These findings underscore the importance of examining heterogeneity in motivational trajectories across domains.Peer reviewe

Intraindividual associations between active social media use, exhaustion, and bedtime vary according to age : A longitudinal study across adolescence

Introduction The majority of adolescents engage with others online, and using social media is one of their top activities. However, there is little longitudinal evidence addressing whether active social media use is associated with study-related emotional exhaustion or delayed bedtime at the individual level of development during adolescence. Method A 6-year longitudinal survey study (N = 426, female, 65.7%) was conducted (2014-2019) in Finland when the participants were 13-19 years old. Utilizing a Random Intercept Cross-Lagged Panel Model, this study focused specifically on longitudinal within-person effects. Results No clear patterns between increased active social media use, increased emotional exhaustion, and delayed bedtime were found; however, the associations varied across the years of adolescence: active social media use and delayed bedtime were only associated in early adolescence; active social media use and emotional exhaustion were associated in both middle and late adolescence. Conclusions Intraindividual relations between adolescents' reported active social media use, emotional exhaustion, and sleeping habits are small, inconsistent, and vary according to age. Therefore, future research should focus on additional longitudinal studies to examine the specific practices of social media use during the different developmental stages of at-risk individuals.Peer reviewe

The Differences and Similarities between Curiosity and Interest: Meta-analysis and Network Analyses

Three studies on the relationship between curiosity and interest are reported. The first study was a meta-analysis that examined the Pearson correlations between scales assessing curiosity and interest. Based on 24 studies (31 effect sizes), we found that the curiosity scales correlated with the interest scales at a moderate level (r = 0.53), but they had extremely high heterogeneity. The second and third studies applied network analyses (i.e., co occurrence analysis and correlation-based analysis) to data that was collected using experience sampling method. Across the studies, we found that while the feelings of curiosity reflected feelings of inquisitiveness, the feelings of interest were aligned with positive affect such as enjoyment and happiness. Importantly, an asymmetrical pattern also was found in curiosity-interest co-occurrences: when feelings of curiosity occurred, the co occurrence of feelings of interest was highly likely, but not so vice versa. Overall, our findings suggest that feelings of curiosity are special cases of feelings of interest that pertain to knowledge acquisition. Theoretical and practical implications of these findings are discussed.Peer reviewe

The role of study engagement in university students' daily experiences : A multilevel test of moderation

The present study investigated the dynamic nature of students' daily experiences and general study engagement using intra-individual assessment. More specifically, we examined individual differences in the relationship between university students' task-specific value and situational emotions and, further, whether first-year study engagement would moderate this association during the first two years of studies. Intra-individual state assessments were conducted via mobile phone-based experience sampling method (ESM) during participants' first (N = 72) and second (N = 56) academic years, resulting in 3089 and 2912 fully completed state questionnaires. In both years, students were asked five times a day over two weeks how important they perceived their current activity and their positive and negative emotions. Using multilevel structural equation modeling, we found that, on average, a higher perception of task-specific value was associated with higher positive emotions and lower negative emotions within individuals. However, individual differences were detected in the value-emotion relations especially during the second academic year. Finally, the findings indicated that overall study engagement, measured at the beginning of the first academic year, predicted between-person differences in these within-person relationships both years.Peer reviewe

Academic well-being and smoking among 14-to 17-year-old schoolchildren in six European cities

It is well established that poor academic performance is related to smoking, but the association between academic well-being and smoking is less known. We measured academic well-being by school burnout and schoolwork engagement and studied their associations with smoking among 14- to 17-year-old schoolchildren in Belgium, Germany, Finland, Italy, the Netherlands, and Portugal. A classroom survey (2013 SILNE survey, N = 11,015) was conducted using the Short School Burnout Inventory and the Schoolwork Engagement Inventory. Logistic regression, generalized linear mixed models, and ANOVA were used. Low schoolwork engagement and high school burnout increased the odds for daily smoking in all countries. Academic performance was correlated with school burnout and schoolwork engagement, and adjusting for it slightly decreased the odds for smoking. Adjusting for socioeconomic factors and school level had little effect. Although high school burnout and low schoolwork engagement correlate with low academic performance, they are mutually independent risk factors for smoking. (C) 2016 The Authors. Published by Elsevier Ltd on behalf of The Foundation for Professionals in Services for Adolescents.Peer reviewe

Understanding the evolution of native pinewoods in Scotland will benefit their future management and conservation

Scots pine (Pinus sylvestris L.) is a foundation species in Scottish highland forests and a national icon. Due to heavy exploitation, the current native pinewood coverage represents a small fraction of the postglacial maximum. To reverse this decline, various schemes have been initiated to promote planting of new and expansion of old pinewoods. This includes the designation of seed zones for control of the remaining genetic resources. The zoning was based mainly on biochemical similarity among pinewoods but, by definition, neutral molecular markers do not reflect local phenotypic adaptation. Environmental variation within Scotland is substantial and it is not yet clear to what extent this has shaped patterns of adaptive differentiation among Scottish populations. Systematic, rangewide common-environment trials can provide insights into the evolution of the native pinewoods, indicating how environment has influenced phenotypic variation and how variation is maintained. Careful design of such experiments can also provide data on the history and connectivity among populations, by molecular marker analysis. Together, phenotypic and molecular datasets from such trials can provide a robust basis for refining seed transfer guidelines for Scots pine in Scotland and should form the scientific basis for conservation action on this nationally important habitat