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Background: Over the past decade, theory and observations have suggested intraspecific variation, trait-based differences within species, as a buffer against biodiversity loss from multiple environmental changes. This buffering effect can only occur when different populations of the same species respond differently to environmental change. More specifically, variation of demographic responses fosters buffering of demography, while variation of trait responses fosters buffering of functioning. Understanding how both responses are related is important for predicting biodiversity loss and its consequences. In this study, we aimed to empirically assess whether population-level trait responses to multiple environmental change drivers are related to the demographic response to these drivers. To this end, we measured demographic and trait responses in microcosm experiments with two species of ciliated protists. For three clonal strains of each species, we measured responses to two environmental change drivers (climate change and pollution) and their combination. We also examined if relationships between demographic and trait responses existed across treatments and strains.
Results: We found different demographic responses across strains of the same species but hardly any interactive effects between the two environmental change drivers. Also, trait responses (summarized in a survival strategy index) varied among strains within a species, again with no driver interactions. Demographic and trait responses were related across all strains of both species tested in this study: Increasing intrinsic growth and self-limitation were associated with a shift in survival strategy from sit-and-wait towards flee.
Conclusions: Our results support the existence of a link between a population's demographic and trait responses to environmental change drivers in two species of ciliate. Future work could dive deeper into the specifics of phenotypical trait values, and changes therein, related to specific life strategies in different species of ciliate and other zooplankton grazers.
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http://dx.doi.org/10.1186/s12862-024-02241-2 | DOI Listing |
Background And Aims: Trait-based approaches have advanced our understanding of plant strategies, yet they often focus on leaf-level traits, overlooking the functional roles of stem anatomy and twig characteristics. We investigated intraspecific trait variation in Salix flabellaris, an alpine dwarf shrub, along climatic gradients in the Himalayas. Our goal was to identify distinct axes of trait variation related to stem, twig, and leaf traits, assess their environmental drivers, and evaluate population-specific growth responses to recent climate change.
View Article and Find Full Text PDFNat Sci Sleep
September 2025
Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.
Aim: Obstructive sleep apnea (OSA) is characterized by repetitive upper airway collapse during sleep, resulting in frequent cortical arousals. However, currently used frequency-based arousal metrics do not sufficiently capture the heterogeneity and clinical significance of arousal responses. The odds ratio product (ORP) is a novel electroencephalographic marker that provides a continuous assessment of sleep depth and has the potential to serve as an objective measure of arousal intensity.
View Article and Find Full Text PDFJDS Commun
September 2025
Council on Dairy Cattle Breeding, Bowie, MD 20716.
Accurate genetic evaluations rely on high-quality phenotypic data; however, measurement errors and data inconsistencies-such as those arising from unsupervised or incomplete sources-pose challenges to their reliability. This study investigates the effect of response errors on genetic evaluations across continuous and categorical traits. We introduce an additive measurement error model to illustrate how phenotypic errors influence genetic effects and variance estimation.
View Article and Find Full Text PDFBackground: Intervertebral disc degeneration (IDD) is a prevalent spinal condition frequently associated with pain and motor impairment, imposing a substantial burden on quality of life. Despite extensive investigations into the genetic predisposition to IDD, the precise pathogenic genes and molecular pathways involved remain inadequately characterized, underscoring the need for continued research to clarify its genetic underpinnings.
Methods: This study leveraged IDD data from the FinnGen R12 cohort and integrated expression quantitative trait loci data across 49 tissues from the Genotype-Tissue Expression version 8 database to perform a cross-tissue transcriptome-wide association study (TWAS).
Medicine (Baltimore)
September 2025
Department of Orthopedic Surgery, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
The purpose of this study was to investigate potential therapeutic targets for osteosarcoma (OS) and offer hints regarding genetic factors for OS treatment using a bioinformatics method. This study processed 3 OS datasets from the gene expression omnibus database using R software, screening for differentially expressed genes (DEGs). After enrichment analysis, based on expression quantitative trait loci data and the genome-wide association study data of OS, Mendelian randomization analysis was used to screen the genes closely related to OS disease, which intersect with DEGs to obtain co-expressed genes, validation datasets were employed to verify the results.
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