Search

When very dry soil is rewet, rapid stimulation of microbial activity has important implications for ecosystem biogeochemistry, yet associated changes in microbial transcription are poorly known. Here, we present metatranscriptomes of California annual grassland soil microbial communities, collected over 1 week from soils rewet after a summer drought-providing a time series of short-term transcriptional response during rewetting.

Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. PRACTITIONER POINTS: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.

Despite over a century of observations, the obligate insect parasites within the order Entomophthorales remain poorly characterized at the genetic level. This is in part due to their large genome sizes and difficulty in obtaining sequenceable material. In this manuscript, we leveraged a recently-isolated, laboratory-tractable Entomophthora muscae isolate and improved long-read sequencing to obtain a largely-complete entomophthoralean genome. Our E. muscae assembly is 1.03 Gb, consists of 7,810 contigs and contains 81.3% complete fungal BUSCOs. Using a comparative approach with other available (transcriptomic and genomic) datasets from entomophthoralean fungi, we provide new insight into the biology of these understudied pathogens. We offer a head-to-head comparison of morphological and molecular data for species within the E. muscae species complex. Our findings suggest that substantial taxonomic revision is needed to define species within this group and we provide recommendations for differentiating strains and species in the context of the existing body of E. muscae scientific literature. We show that giant genomes are the norm within Entomophthoraceae owing to extensive, but not recent, Ty3 retrotransposon activity, despite the presence of machinery to defend against transposable elements(RNAi). In addition, we find that E. muscae and its closest allies are enriched for M16A peptidases and possess genes that are likely homologs to the blue-light sensor white-collar 1, a Neurospora crassa gene that has a well-established role in maintaining circadian rhythms. We find that E. muscae has an expanded group of acid-trehalases, consistent with trehalose being the primary sugar component of fly (and insect) hemolymph. We uncover evidence that E. muscae diverged from other entomophthoralean fungi by expansion of existing families, rather than loss of particular domains, and possesses a potentially unique suite of secreted catabolic enzymes, consistent with E. muscae's species-specific, biotrophic lifestyle. Altogether, we provide a genetic and molecular foundation that we hope will provide a platform for the continued study of the unique biology of entomophthoralean fungi.

The North Temperate Lakes Long-Term Ecological Research (NTL-LTER) program has been extensively used to improve understanding of how aquatic ecosystems respond to environmental stressors, climate fluctuations, and human activities. Here, we report on the metagenomes of samples collected between 2000 and 2019 from Lake Mendota, a freshwater eutrophic lake within the NTL-LTER site. We utilized the distributed metagenome assembler MetaHipMer to coassemble over 10 terabases (Tbp) of data from 471 individual Illumina-sequenced metagenomes. A total of 95,523,664 contigs were assembled and binned to generate 1,894 non-redundant metagenome-assembled genomes (MAGs) with ≥50% completeness and ≤10% contamination. Phylogenomic analysis revealed that the MAGs were nearly exclusively bacterial, dominated by Pseudomonadota (Proteobacteria, N = 623) and Bacteroidota (N = 321). Nine eukaryotic MAGs were identified by eukCC with six assigned to the phylum Chlorophyta. Additionally, 6,350 high-quality viral sequences were identified by geNomad with the majority classified in the phylum Uroviricota. This expansive coassembled metagenomic dataset provides an unprecedented foundation to advance understanding of microbial communities in freshwater ecosystems and explore temporal ecosystem dynamics.

Abstract Background Few studies have longitudinally assessed the determinants of depressive symptoms among persons 80 years and older. The aim of this study was to estimate the determinants of depressive symptoms among persons 80 years and older based on 4-wave national longitudinal data from Thailand. Methods Data from the Health, Aging, and Retirement in Thailand study from 2015, 2017, 2020 and 2022 were utilized. The sample was restricted to community-dwelling persons 80 years and older (analytic sample: n = 2763 observations). For the pooled sample, average age was 85.0 years (range 80–117 years). Established measurements were used to assess depressive symptoms. Linear fixed effects regression was applied to assess the time-variant determinants and outcomes. Results Regressions found that higher functional disability and an increase in the number of chronic conditions worsened depressive symptoms. More favourable self-rated physical health, and higher exercise frequency improved depressive symptoms. In addition, among women higher subjective economic status decreased depressive symptoms. Conclusions This longitudinal study enhances our understanding of the determinants of depressive symptoms among persons 80 years and older. Strategies to delay or decrease functional disability, chronic conditions, increase physical activity, and improve subjective economic status may help in reducing depressive symptoms.

Abstract The cerebral biomarkers, neurofilament light chain (NfL), amyloid-β, tau, and neuron specific enolase (NSE) reflect a wide spectrum of neurological damage in the brain and spinal cord. With this study, we aimed to assess whether these biomarkers hold any potential diagnostic value for the three most common canine neurological diseases. Canines suffering from meningoencephalitis of unknown origin (MUO), brain tumors, and selected non-infectious myelopathies were included. For each diagnosis, we analyzed these biomarkers in the cerebrospinal fluid collected via cranial puncture from the cisterna magna. Elevated levels of CSF tau, NfL, and NSE were observed in MUO, with all three biomarkers being intercorrelated. Tau and NSE were increased while amyloid-β was decreased in dogs suffering from tumors. In contrast, no biomarker changes were observed in dogs with myelopathies. Covariates such as age, sex, or castration had minimal impact. CSF biomarkers may reflect molecular changes related to MUO and tumors, but not to non-infectious myelopathies. The combination of NfL, tau, and NSE may represent useful biomarkers for MUO as they reflect the same pathology and are not influenced by age.

Insect pest species are generally expected to become more destructive with climate change because of factors such as weakened host tree defences during droughts and increased voltinism under rising temperatures; however, responses will vary by species due to a variety of factors, including altered interactions with their natural enemies. Entomopathogens are a substantial source of mortality in insects, but the likelihood of epizootics can depend strongly on climatic conditions. Previous research indicates that rates of infection of the spongy moth (Lymantria dispar) by its host-specific fungal pathogen, Entomophaga maimaiga, increase with environmental moisture and decrease as temperatures rise. High temperatures may have direct and indirect (due to the associated drying) effects on the fungus, but the interactive effects between temperature and moisture level on larval infection are unclear. Here, we test the hypothesis that warmer, drier conditions will decrease rates of infection of spongy moth larvae by E. maimaiga. We evaluated the effects of precipitation and temperature on larval mortality caused by E. maimaiga with a manipulative field experiment, conducted in one of the northernmost and coldest parts of the spongy moth’s non-native range in North America. We caged laboratory-reared spongy moth larvae in experimentally warmed open-air forest plots, exposing the larvae to soil inoculated with E. maimaiga resting spores during two consecutive trials. Caged larvae were exposed to three temperature treatments — ambient, 1.7 °C above ambient and 3.4 °C above ambient — and either supplemental precipitation (+173 mm per trial) or ambient precipitation. Opposite to our hypothesis, there was no significant effect of supplemental precipitation, nor an interaction between precipitation and temperature. There was, however, a significant positive effect of increasing temperature on the number of larvae infected. On average, in each respective trial, larval infection increased by 44% and 50% under the elevated temperature treatments compared to ambient temperature. Experimental warming may have increased infections because ambient temperatures at the field site were suboptimal for fungal germination. The results from this experiment suggest that, in colder portions of the spongy moth’s invasive range, increasing temperatures due to climate change may enhance the ability of E. maimaiga to help control populations of the spongy moth.

Abstract Background This study aimed to investigate the relationship between migration background and the utilization of preventive healthcare services. Methods Cross-sectional data from wave 5 in the year 2014, with a sample size of 7,684 individuals, were extracted from the nationally representative German Ageing Survey. The survey included community-dwelling individuals aged 40 years and above, with migration background serving as the primary independent variable. The outcomes measured included participation in cancer screenings, flu vaccinations, and routine health check-ups. Multiple logistic regressions were used to examine the association between migration background and preventive healthcare services. Results Regressions showed that the presence of a migration background with personal migration experience (compared with not having a migration background) was associated with a lower likelihood of using preventive healthcare services. More precisely, compared to individuals not having a migration background, individuals with a migration background and personal migration experience had a lower likelihood of routine health check-ups (OR = 0.76, 95% CI: 0.61 to 0.95), flu vaccinations (OR = 0.75, 95% CI: 0.59 to 0.95) and cancer screenings (OR = 0.71, 95% CI: 0.57 to 0.89). In contrast, there was no significant association between the presence of a migration background without personal migration experience (compared with not having a migration background) and the use of preventive healthcare services. Conclusion In conclusion, results showed differences between individuals without migration background and individuals with migration background (and with personal migration experience) in terms of using preventive healthcare services. It may be helpful to specifically address individuals with migration background (and with migration experience) in terms of using preventive healthcare services.

Introduction: The objective of this study was to clarify the frequency of fear of dementia and the factors associated with it. Methods: Data were taken from a nationally representative sample (n = 4,000; average age was 54.9 years, SD: 8.5 years, age ranges from 40 to 70 years, 49.6% of the respondents were women). Similar to prior research, fear of dementia was quantified using a tool ranging from 1 (no fear of dementia) to 4 (severe fear of dementia). Results: In sum, 19.0% reported no fear of dementia, 34.6% reported a little fear of dementia, 33.8% reported some fear of dementia, and 12.7% reported severe fear of dementia. Regressions showed that greater fear of dementia was significantly associated with being female, being younger, poorer self-rated health, the presence of at least one chronic disease, not living in the same household with a partner or not being in a relationship at all, having depressive symptoms and anxiety symptoms. Conclusion: Study findings showed that fear of dementia is particularly associated with health-related factors, age and gender. Lifestyle factors and other socioeconomic factors were only occasionally significant. Future research should explore the reasons for such a higher frequency of people’s fear of dementia. It would also be interesting to find out new factors associated with the fear of dementia. Furthermore, further research could focus on cross-country comparisons and could stratify the results by important groups, e.g., by sex or education, but also cultural and ethnic aspects.

Abstract The North Temperate Lakes Long-Term Ecological Research (NTL-LTER) program has been extensively used to improve understanding of how aquatic ecosystems respond to environmental stressors, climate fluctuations, and human activities. Here, we report on the metagenomes of samples collected between 2000 and 2019 from Lake Mendota, a freshwater eutrophic lake within the NTL-LTER site. We utilized the distributed metagenome assembler MetaHipMer to coassemble over 10 terabases (Tbp) of data from 471 individual Illumina-sequenced metagenomes. A total of 95,523,664 contigs were assembled and binned to generate 1,894 non-redundant metagenome-assembled genomes (MAGs) with ≥50% completeness and ≤10% contamination. Phylogenomic analysis revealed that the MAGs were nearly exclusively bacterial, dominated by Pseudomonadota (Proteobacteria, N = 623) and Bacteroidota (N = 321). Nine eukaryotic MAGs were identified by eukCC with six assigned to the phylum Chlorophyta. Additionally, 6,350 high-quality viral sequences were identified by geNomad with the majority classified in the phylum Uroviricota. This expansive coassembled metagenomic dataset provides an unprecedented foundation to advance understanding of microbial communities in freshwater ecosystems and explore temporal ecosystem dynamics.

We explore the impact of language education policy on language enrolments and provision in primary and secondary government schools In Australia, specifically in New South Wales (NSW) and Victoria, which have strikingly different policy settings. NSW adopts a 'weak but flexible' policy, mandating a very limited minimum time allocation for language study but allowing multiple entry points at senior secondary level. Victoria adopts a 'strong' mandatory policy, requiring continuous commitment to language study. Using available data, the study first compares enrolment data trends overall before considering the most widely taught languages at primary and secondary level, with additional analysis of a single secondary student cohort. Amongst the findings, we observe a marked reversal of previously falling language enrolments over time in Victoria, with substantially higher numbers overall compared to NSW where numbers have instead fallen, thus seemingly attesting to the impact of effective mandatory policies. While neither policy setting seems impactful enough in attracting and sustaining language study through to senior secondary level, a seeming pattern of convergence at this level masks at least partly the effect of access to alternative learning mechanisms on enrolments, resulting in much more frequent completion of Year 12 language study in Victoria.

This article examines Vietnamese students' motivation for learning Mandarin Chinese during their study abroad in Taiwan and their construction of self in relation to this language learning motivation. A combination of several concepts of ideal L2 self, ought-to L2 self, instrumental motive, integrative motive, linguistic capital, and multiple self-aspects is used as a theoretical lens to gain insights into the students' Chinese learning motivation. The study employs a qualitative research approach in which semi-structured interviews with English-medium students from five Taiwanese universities were conducted. Findings reveal that the students' motivation for learning Chinese contributed to portraying their ideal and ought-to Chinese selves, which subsume their different instrumental and integrative motives for language learning. The ideal Chinese self they would like to become possesses Chinese linguistic capital, which would confer on them advantages pertaining to their study, career development and social relations. The students' ideal Chinese self also incorporates and reinforces their (desired) cultural, economic and social selves. Implications for supporting international students' motivation for out-of-class language learning and their construction of self at the institutional level are then discussed.