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Biology subjects

Shedden, K.

Publications and source records attributed to Shedden, K..

4 recordsLinked to original sources

Dominance of plasticity in wind-pollinated trees' flowering time response to temperature

Climate change is shifting the flowering phenology of wind-pollinated trees, leading to longer pollen seasons and heightened allergy risks. Accurately forecasting these phenological shifts requires a clear understanding of the underlying mechanisms and variations in the sensitivity of phenology to temperature. Here, we investigated the temperature sensitivity of flowering phenology in 74 wind-pollinated tree species across the US using long-term herbarium records spanning over a century. We found consistent phenological responses to spring temperature variations over space and over time in 77% of species, indicating that these long-lived trees can rely primarily on plasticity to cope with temperature variation across different regions. Sensitivity estimates were consistent across both century-scale and decadal time scales, challenging the previous understanding of declines. Interspecific variations in sensitivity exhibited a strong phylogenetic signal, indicating evolutionary conservatism in phenological responses among related species. Together, these findings shed light on the magnitude, mechanism, trend, and variability of temperature sensitivity of wind-pollinated tree flowering phenology. Our results improve the mechanistic basis for forecasting phenological shifts and their downstream effects on airborne pollen and allergen exposure under ongoing climate change.

ecology↗

Fungal spore seasons advanced across the US over two decades of climate change

Phenological shifts due to climate change have been extensively studied in plants and animals. Yet, the responses of fungal spores--crucial organisms that play important roles in ecosystems and act as airborne allergens--remain understudied. This knowledge gap in global change biology hinders our understanding of its ecological and public health implications. To bridge this gap, we acquired a long-term (2003 [~] 2022), large-scale (the continental US) dataset of airborne fungal spores collected by the US National Allergy Bureau. We first pre-processed the spore data by gap-filling and smoothing. Afterward, we extracted ten metrics describing the phenology (e.g., start and end of season) and intensity (e.g., peak concentration and integral) of fungal spore seasons. These metrics were derived using two complementary but not mutually exclusive approaches--ecological and public health approaches, defined as percentiles of total spore concentration and allergenic thresholds of spore concentration, respectively. Using linear mixed effects models, we quantified annual temporal shifts in these metrics across the continental US. We revealed a significant advancement in the onset of the spore seasons defined in both ecological (11 days, 95% confidence interval: 0.4 [~] 23 days) and public health (22 days, 6 [~] 38 days) approaches over two decades. Nevertheless, the total spore concentration in an annual cycle and in a spore allergy season tended to decrease over time. The earlier start of the spore season was significantly correlated with climatic variables, such as warmer temperatures and altered precipitations. Overall, our findings suggest possible climate-driven advanced fungal spore seasons, highlighting the importance of climate change mitigation and adaptation in public health decision-making.

ecology↗

Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas

Genomic imprinting is an epigenetic mechanism that results in allele specific expression (ASE) based on parent of origin. It is known to play a role in the prenatal and postnatal allocation of maternal resources in mammals. ASE detected by whole transcriptome RNA-seq (wht-RNAseq) has been widely used to analyze imprinted genes using reciprocal crosses in mice to generate large numbers of informative SNPs. Studies in humans are more challenging due to the paucity of SNPs and the poor preservation of RNA in term placentas and other tissues. Targeted RNA-seq (tar-RNAseq) can potentially mitigate these challenges by focusing sequencing resources on the regions of interest in the transcriptome. Here we compared tar-RNAseq and wht-RNAseq in a study of ASE in known imprinted genes in placental tissue collected from a healthy human cohort in Mali, West Africa. As expected, tar-RNAseq substantially improved the coverage of SNPs. Compared to wht-RNAseq, tar-RNAseq produced on average four times more SNPs in twice as many genes per sample and read depth at the SNPs increased 4-fold. In previous research on humans, discordant ASE values for SNPs of the same gene have limited the ability to accurately quantify ASE. We show that tar-RNAseq reduces this limitation as it unexpectedly increased the concordance of ASE between SNPs of the same gene, even in cases of degraded RNA. Studies aimed at discovering associations between individual variation in ASE and phenotypes in mammals and flowering plants will benefit from the improved power and accuracy of tar-RNAseq.

genomics↗

The respiratory microbiome and susceptibility to influenza virus infection

Influenza is a major cause of morbidity and mortality worldwide. However, vaccine effectiveness has been low to moderate in recent years and vaccine coverage remains low, especially in low- and middle-income countries. Supplementary methods of prevention should be explored to reduce the high burden of influenza.\n\nA potential target is the respiratory tract microbiome, complex microbial communities which envelop the respiratory epithelium and play an important role in shaping host immunity. Using a household transmission study, we examined whether the nose/throat microbiota was associated with influenza susceptibility among participants exposed to influenza virus in the household. Further, we characterized changes in the nose/throat microbiota to explore whether community stability was influenced by influenza virus infection.\n\nUsing a generalized linear mixed effects model, we found a bacterial community type associated with decreased susceptibility to influenza. The community type was rare and transitory among young children but a prevalent and stable community type among adults. Using boosting and linear mixed effects models, we found associations between the nose/throat microbiota and influenza also existed at the taxa level, specifically with the relative abundance of Alloprevotella, Prevotella, and Bacteroides oligotypes.\n\nWe found high rates of change in the bacterial community among both secondary cases and household contacts who were not infected during follow up. Preliminary results suggest short-term changes in the bacterial community structure may differ between the two groups, but further work is needed to validate our observations.\n\nLastly, age was strongly associated with susceptibility to influenza and the nose/throat bacterial community structure. Although additional studies are needed to determine causality, our results suggest the nose/throat microbiome may be a potential target for reducing the burden of influenza.\n\nAuthor summaryMicrobiome research has transformed our understanding of microbes and human health. Resident bacteria can protect the host from pathogens by shaping immunological responses. These new insights suggest the microbiome could be a target for preventing influenza virus infection, a major cause of illness and death worldwide. In this study, we explored the relationship between the nose/throat microbiota and influenza virus in Nicaraguan households.\n\nHousehold members were enrolled immediately after one member was diagnosed with influenza virus infection. This study design allowed us to identify associations between the microbiota and influenza susceptibility. We also explored whether influenza virus infection altered the bacterial community structure and found short-term changes were common among both secondary cases and household members who remained influenza negative during follow up. Lastly, we found age played major roles in both influenza susceptibility and in short-terms changes in the microbiota. Although much work is needed to determine causal relationships, our findings suggest strategies that appropriately modify the microbiome might be useful in preventing influenza virus infections.

epidemiology↗