MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park.

We present a long-term and high-resolution phenological dataset from 17 wildflower species collected in Mt. Rainier National Park, as part of the MeadoWatch (MW) community science project. Since 2013, 457 unique volunteers and scientists have gathered data on the timing of four key reproductive phenophases (budding, flowering, fruiting, and seeding) in 28 plots over two elevational gradients alongside popular park trails. Trained volunteers (87.2%) and University of  Washington scientists (12.8%) collected data 3-9 times/week during the growing season, using a standardized method. Taxonomic assessments were highly consistent between scientists and volunteers, with high accuracy and specificity across phenophases and species. Sensitivity, on the other hand, was lower than accuracy and specificity, suggesting that a few species might be challenging to reliably identify in community-science projects. Up to date, the MW database includes 42,000+ individual phenological observations from 17 species, between 2013 and 2019. However, MW is a living dataset that will be updated through continued contributions by volunteers, and made available for its use by the wider ecological community.

Early snowmelt and warmer, drier summers shrink postflowering transition times in subalpine wildflowers.

Plant reproductive phenology-the timing of reproduction-is shifting rapidly with global climate change. Many studies focus on flowering responses to climate, but few investigate how postflowering processes, such as how quickly plants develop from flowering to seed dispersal, respond to environmental factors. We examined the climatic drivers of postflowering phenology in 28 species of western North American subalpine meadow plants over large spatial and temporal climate gradients. We took a Bayesian hierarchical approach to address whether and how climate influences the time it takes for wildflower populations to transition from flower to seed. Our previous work on the same species demonstrated that the initiation of flowering depends on snowmelt timing, with warmer temperatures and soil moisture also playing a role. Here, we found that for the majority of the flowering community, the same climate drivers also affected the time it takes to move from flowering to seed dispersal. Climate-sensitive species shortened flower-seed transitions when snow melted earlier, temperatures were warmer, and/or soil dried down more quickly-conditions we expect with higher frequency under climate change. Our work underscores the fact that predicting the impact of climate change on plant reproductive phenology demands empirical data on phases beyond flowering. Additionally, it suggests that some species face a future in which multiple environmental factors will push them towards more rapid transitions from flowering to postflowering phases, with potential effects on plants themselves and the many animal associates that rely on them, including frugivores and seed predators.

Within-species patterns challenge our understanding of the leaf economics spectrum.

The utility of plant functional traits for predictive ecology relies on our ability to interpret trait variation across multiple taxonomic and ecological scales. Using extensive data sets of trait variation within species, across species and across communities, we analysed whether and at what scales leaf economics spectrum (LES) traits show predicted trait-trait covariation. We found that most variation in LES traits is often, but not universally, at high taxonomic levels (between families or genera in a family). However, we found that trait covariation shows distinct taxonomic scale dependence, with some trait correlations showing opposite signs within vs. across species. LES traits responded independently to environmental gradients within species, with few shared environmental responses across traits or across scales. We conclude that, at small taxonomic scales, plasticity may obscure or reverse the broad evolutionary linkages between leaf traits, meaning that variation in LES traits cannot always be interpreted as differences in resource use strategy.

Horizontal acquisition and a broad biodistribution typify simian foamy virus infection in a cohort of Macaca fascicularis.

BACKGROUND: Foamy viruses are non-pathogenic in vivo and naturally infect all species of non-human primates (NHP). Simian foamy viruses (SFV) are highly prevalent in both free ranging and captive NHP but few longitudinal studies have been performed to assess the prevalence and biodistribution of SFV within captive NHP. METHOD: LTR and pol gene along with Gag antibody detection were undertaken to identify infection in a cohort of over 80 captive macaques. RESULTS: The prevalence of SFV was between 64% and 94% in different groups. Access to 23 dam-infant pairs allowed us to reveal horizontal transfer as the dominant route of SFV transmission in our cohort. Further, analysis of SFV from a range of tissues and blood revealed that macaques as young as six months old can be infected and that proviral biodistribution increases with age. CONCLUSIONS: These are the first data of this type for a captive cohort of cynomolgus macaques.

Simian T-cell lymphotropic virus type I alters the proviral load and biodistribution of simian retrovirus type 2 in co-infected macaques, supporting advancement of immunosuppressive pathology.

The infection dynamics and pathology of a retrovirus may be altered by one or more additional viruses. To investigate this further, this study characterized proviral load, biodistribution and the immune response in Macaca fascicularis naturally infected with combinations of simian retrovirus type 2 (SRV-2) and simian T-cell lymphotropic virus type I (STLV-I). As the mesenteric lymph node (MLN) and the spleen have been implicated previously in response to retroviral infection, the morphology and immunopathology of these tissues were assessed. The data revealed a significant change in SRV-2 biodistribution in macaques infected with STLV-I. Pathological changes were greater in the MLN and spleen of STLV-I-infected and co-infected macaques compared with the other groups. Immune-cell populations in co-infected macaque spleens were increased and there was an atypical distribution of B-cells. These findings suggest that the infection dynamics of each virus in a co-infected individual may be affected to a different extent and that STLV-I appears to be responsible for enhancing the biodistribution and associated pathological changes in SRV-2 in macaques.

Vaccination with live attenuated simian immunodeficiency virus for 21 days protects against superinfection.

The identification of mechanisms that prevent infection with human immunodeficiency virus (HIV) or simian immunodeficiency virus (SIV) would facilitate the development of an effective AIDS vaccine. In time-course experiments, protection against detectable superinfection with homologous wild-type SIV was achieved within 21 days of inoculation with live attenuated SIV, prior to the development of detectable anti-SIV humoral immunity. Partial protection against superinfection was achieved within 10 days of inoculation with live attenuated SIV, prior to the development of detectable anti-SIV humoral and cellular immunity. Furthermore, co-inoculation of live attenuated SIV with wild-type SIV resulted in a significant reduction in peak virus loads compared to controls that received wild-type SIV alone. These findings imply that innate immunity or non-immune mechanisms are a significant component of early protection against superinfection conferred by inoculation with live attenuated SIV.