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678 results for “sugars”
Hubbard Brook Nitrogen Oligotrophication (HBNO): Foliar resorption, leaf mass per area, and leaf chemistry of sugar maple and American beech, 2020-2022
We quantified nitrogen (N) resorption of the two dominant tree species of northern hardwood forests along an elevation gradient using 14 sites at Hubbard Brook Experimental Forest, NH. For these calculations, we also quantified the leaf mass per area for both species, sugar maple and American beech. The original data before averaging for combining with chemistry data is available in an earlier revision of this dataset. Foliar N of sugar maple increased, and N resorption proficiency (NRP) decreased with increasing elevation. In contrast, foliar N and NRP of American beech did not vary significantly with elevation, suggesting that the mechanisms driving patterns of N resorption were distinct between these co-occurring species. While both species exhibited strong correlations between resorption efficiency of C and N, resorption of both elements was much greater for beech than maple. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Short-term consumption of sucralose with, but not without, carbohydrate impairs neural and metabolic sensitivity to sugar
Open the record for dataset details and reuse information.
Hubbard Brook Experimental Forest: Diversity of Forest Floor Vegetation under Ash, Beech, Sugar Maple, and Yellow Birch, 2021
As the interface between plants and soil, the organic horizon is the foundation of forest ecosystems. Two potential predictors of O-layer properties, vegetation and mineral soil type, are difficult to separate because they typically covary. We conducted a factorial study involving four canopy tree species and two soil types with distinctly different hydrology and topographic position to parse patterns in chemistry and microbiota of the O-layer in a north-temperate deciduous forest. There were frequent strong effects of tree species. White ash frequently differed from the other trees: e.g., lower cation exchange capacity and exchangeable acidity, thinner Oi layer, lower %C and C:N, and, from phospholipid fatty acids, more AM fungi and less gram+ bacteria. These patterns, presumably due to species-specific attributes of leaf litter quality, root exudates, and microbial associations, must arise over decades, given that the stands in the study age between 85 and 100 years. We also found patterns in the O-layer related to underlying soil type, independent of tree species: e.g., Bh podzols, compared to Typical podzols, had higher trace metals, thicker Oa layer, and more AM fungi. Relations between mineral soil type and the organic layer, which were larger than expected, could arise because landscape features that influence hydrology and therefore soil formation over millennia also influence biogeochemistry of the organic layer over decades. It could also involve bioturbation by organisms across horizons. There is basic and applied value in models that can predict properties of the O-layer based on vegetation and soil types.
Multiple Element Limitation in Northern Hardwood Ecosystems (MELNHE): Sugar Maple Sap Sweetness and Nutrients, and Foliar Gas Exchange and Nutrients, 2013
Sugar maple (Acer saccharum Marsh.) sap sweetness and elemental concentrations, foliar gas exchange, and foliar elemental concentrations were measured in 2013 in Bartlett Experimental Forest stands C6, C8, and C9 and Jeffers Brook stands JBM and JBO. In February and March 2013, sugar maples were sampled for sap sweetness and elemental concentrations of potassium (K), aluminum (Al), calcium (Ca), magnesium (Mg), manganese (Mn), phosphorus (P), and strontium (Sr). In July 2013, leaves from four sugar maple trees per plot, representing the two highest and lowest sap sugar concentrations, were sampled for foliar gas exchange and foliar elemental analyses of Ca, K, Mn, P, nitrogen (N), and silicon (Si). Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
The Cassandra retrotransposon landscape in sugar beet (Beta vulgaris): Recombination and re-shuffling leads to a high structural variability
<p>Here we provide supplementary data for our study of non-autonomous Cassandra terminal-repeat retrotransposons in miniature (TRIMs) in sugar beet and related genomes.</p> <p>Cassandra sequences are distributed across the plant kingdom and share a unique feature: conserved 5S rDNA promoter motifs within their long terminal repeats (LTRs). This dataset contains two multiple sequence alignments and a sequence list of tandemly-arranged (TA) Cassandra sequences in FASTA format. Alignments cover LTR and internal regions of all Amaranthaceae Cassandra (Ama-Cassandra) from our study. This includes Cassandra full-length sequences from <em>B. vulgaris</em> (Ama_Cassandra_Beet_full-length) and <em>C. quinoa</em> (Ama_Cassandra_Quinoa_full-length). Sequence names include information on host plant, subfamily classification, localisation (scaffold), start and stop position, a Lab-unique TE identifier and sequence orientation. For the tandemly-arranged Cassandra sequences from sugar beet, we provide a sequence list of twelve sequences (Ama_Cassandra_TA_Beet_list). Here, sequence names refer to TA copy number, host, localisation (scaffold), start and stop position, a Lab-unique TE identifier and sequence orientation.</p> <p>All sequences were identified in the recent genome assemblys of <em>B. vulgaris</em> (RefBeet1.2; Dohm <em>et al</em>. 2014) and <em>C. quinoa</em> (ASM168347v1; Jarvis <em>et al</em>., 2017).</p>
Taking Antibiotics for a virus is like trying to sweeten lake Victoria with a bag of sugar
<p>Video in English (see also the Swahili version) warns that attempting to treat a virus or common cold by self-medication with antibiotics can lead to the development of Antimicrobial Resistance (AMR). It uses humour and Tanzanian metaphors for foolishness to make its point. This was originally developed as an audio piece, but still images have been added in post-production to create a video. </p><p>Audio and images produced as part of a Participatory Action Research (PAR) Workshop with young professionals in Mwanza, Tanzania to create public health messages on Antimicrobial Resistance in a post-COVID East Africa in June 2022. The project built upon data gathered in two international, interdisciplinary research projects (HATUA – 'Holistic Approaches to Understanding Antimicrobial Resistance in East Africa' and CARE – 'COVID-19 and Antimicrobial Resistance in East Africa – Impact and Response'), seeking to understand the wider medical and societal drivers of AMR in East Africa and identify possible interventions to curb the spread of AMR. The workshop ran for 9 days over a 3 week period and consisted of focus group style discussions with participants to explore issues surrounding AMR, antibiotic use, and public health messaging awareness in local communities (days 1-2), participant-led design of poster, radio, and video messages with feedback from the research team and introduction to filming/recording equipment (days 3-4), filming, shooting and recording materials within local settings in Mwanza with participants serving as actors, directors, and crew with guidance from research team (days 4-8) and a final in-person review and hands-on feedback of preliminary mock-ups of posters and videos (day 9). Participants have continued to collaborate via email and WhatsApp as materials were finalised. Final video production and editing was undertaken by the researchers. </p><p>Correspondence: mgk@st-andrews.ac.uk; kjf4@st-andrews.ac.uk</p><p> </p>
Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments
<p>This dataset is related to the data paper published in Ecology: Filipiak et al, in press, <em>Phenology and production of pollen, nectar and sugar in 1612 plant species from various environments</em>; doi: to be provided when available. This paper must be always properly cited when using the database. Please use any scientific full citation format. <br> <br> <strong>Abstract</strong><br> To predict the quantity and quality of the food available for pollinators in various landscapes over time, it is necessary to collect detailed data on pollen, nectar, and sugar production per unit area and the flowering phenology of plants. Similar data are needed to estimate the contribution of plants to the functioning of food webs via the flow of energy and nutrients through the soil-plant-nectar/pollen-consumer pathway. Current knowledge on this topic is fragmented. This is the first database to compile data on the various food resources produced by 1612 different plant species, belonging to 755 genera and 133 families, including crops and wild plants, annuals and perennials, animal- and wind-pollinated plants, and weeds and trees growing in different ecosystems under various environmental conditions. The dataset consists of 103 parameters related to the traits of plant species, as well as to geographical and environmental factors, allowing for precise calculations of nectar, pollen and energy provided by plants and available to consumers in the considered flora or ecosystem on a daily basis throughout the year. These parameters, gathered by us and extracted from the available literature, describe pollen, nectar and sugar production (where applicable, in mass, volume and concentration units), honey yield, the timing and duration of flowering, flower longevity, numbers of plants and flowers per unit area, related weather conditions (temperature and precipitation), geographical location, landscape, and syntaxonomy. The data were obtained from various, mostly European, pedoclimatic zones, and the majority of the data were available for plant species and communities present in Central Europe, especially in Poland, where research on floral resources has a long tradition. These data are representative of the whole continent and may be used as a reference for plant communities occurring on continents other than Europe since the database allows the consideration of differences in the production of resources by a single plant species growing in different communities. This dataset provides a unique opportunity to test hypotheses related to the functioning of food webs, nutrient cycling, plant ecology, and pollinator ecology and conservation.</p>
Pathogen-sugar interactions revealed by universal saturation transfer analysis
<p>Supporting data for the "Pathogen-sugar interactions revealed by universal saturation transfer analysis" manuscript.</p>
Physical, chemical, and metabolic leaf characteristics within sugar maple in the MELNHE study at Bartlett Experimental Forest, central NH USA, 2017
The MELNHE study looks at patterns of resource limitation through nutrient manipulations in three study sites in New Hampshire: Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook, located in the White Mountain National Forest. The investigation is monitoring stem diameter, leaf area, sap flow, foliar chemistry, leaf litter production and chemistry, foliar nutrient resorption, root biomass and production, mycorrhizal associations, soil respiration, heterotrophic respiration, N and P availability, N mineralization, soil phosphatase activity, soil carbon and nitrogen, nutrient uptake capacity of roots, and mineral weathering. Applications of N and P began in June 2011 and continue at the rate of 30 kg N/ha/yr (as NH4NO3) and 10 kg P/ha/yr (as NaH2PO4). This data set includes physical, chemical, and metabolic leaf characteristics collected in a vertical transect within individual tree crowns. Because trees varied in crown depth, not all trees have the same number of samples collected. Depth from the top of the crown was measured and climbing ropes and a pole pruner were used to collect a population of leaves. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Sugar Maple Regeneration in New Hampshire, 2019-2023
Overview: These data sets are the culmination of a five-year community science project done in collaboration with the Society for Protection of NH Forests. Co-authors on the resulting paper were: Carrie Deegan, Sarah Thorne, Ana Suppé, Kimberly L. Colson and Wanda Rice. Funding was provided by: Engaged Research Grant from the Einhorn Center for Community Engagement at Cornell University 2019 - 2023; Public Engagement with Science Grant (NSF grant #1713204) subcontract from Hubbard Brook Research Foundation; USDA Climate Hub; NSF-REU supplement under the HBR LTER (NSF grant #1637685) in 2021 and 2022 and HBR LTER in 2023 (NSF grant #2224545 ). Undergraduate students who helped on the project: Katie Sims, Alex Ding, Esmée deCortie, Sage Wentzell-Brehme, Colin Craig, Linda Mahecha, Roxy Moore. Community volunteers who contributed to field data collection and project meetings: Paul Doscher, Dave Heuss, Kim Sharp, Chris Brown, Tim Kendrick, Dan Poor, Rickey Poor, and Blaine Kopp. The study was conducted in four mature forest stands with a notable sugar maple component owned and managed by the Society for Protection of New Hampshire Forests (Forest Society) and spanning most of the latitudinal gradient in the state. Plots were established in autumn of 2018. In general, 12 plot locations were established for each of the four forest stands. Plots are spatially-uniform and placed as close to a 100 m grid system as possible with the restriction that the plot had to include three canopy sugar maple trees. The plots are 0.05 hectares or 500 m2 in size measured in a 12.62 m radius circular plot. Marked_sdlg_site_EDI: This data set contains survival, leaf area and leaf damage for 1191 sugar maple seedlings at four sites in New Hampshire. The sugar maple seedlings were two years old at the time of marking in 2019 and were from the 2017 mast year. The study followed the seedlings on 12 plots per site for 5 years (2019-2023). The data file also contains plot and site variables for t
Hiding in the heterochromatin: Endogenous pararetroviruses escape elimination from the genome of sugar beet (Beta vulgaris)
<p>Here we provide supplementary data for our study of endogenous pararetroviruses in the sugar beet genome (beetEPRVs).</p> <p>Our genome-wide screen showed the presence of three beetEPRVs families in the genome of sugar beet (<em>Beta vulgaris</em>). This dataset contains the consensus sequence for each beetEPRV family (Data S1) and the underlying multiple sequence alignments of individual, genomic beetEPRV copies (Data S2-S5). All data are provided in FASTA format. Sequence names include information on the analysed sugar beet assembly (EL10.1; genebank accession SAMN07736104; Funk <em>et al.</em>, 2018), chromosomal position (chromosome identifier; start and stop position), and sequence orientation (forward = plus; reverse = minus).</p>
Nectar chemistry is not only a plant's affair: floral visitors affect nectar sugar and amino acid composition
<p>This dataset contains data used in the analyses performed in the article entitled "Nectar chemistry is not only a plant’s affair: floral visitors affect nectar sugar and amino acid composition". The Excel file contains three sheets. 'Raw data' contains concentration of sugars, amino acids, pollen grains and yeast cells measured in several flowers and plants of <em>Gentiana lutea</em> subsp. <em>symphyandra</em>, belonging to different experimental treatments. 'Amino acid diversity' contains the concentration of specific protein and non-protein amino acids found in a subset of the above mentioned flowers. 'Pollen suspension test' contains the concentration of the same amino acids found in nectar after suspension of pollen of <em>G. lutea</em> at different time intervals (0, 1, 4, and 24 hours).</p>
Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea
<p>This repository includes datasets published Sogin et al., Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea. Datasets include: </p> <ol> <li>Dissolved organic carbon concentrations</li> <li>The percent of dissolve organic matter composed of polyphenols</li> <li>Porewater sugar concentrations</li> <li>Sediment oxygen concentrations</li> <li>Sediment incubation results</li> </ol> <p>Data was connected primarily from underneath a seagrass meadow in SantAndra Bay, Elba, Italy (42.808304,10.142891). However, additional sugar concentrations are also obtained from seagrass meadows in Belize and Germany. </p> <p> </p> <p> </p> <p> </p> <p>for exploring the concentrations of sugars, dissolve organic carbon, oxygen and polyphenols occurring in sediments inside and surrounding a <em>Posidonia oceanica</em> seagrass meadow in SantAndra Bay, Italy. </p>
Data from: Transcriptome analysis of apical meristem enriched bud samples for size dependent flowering commitment in Crocus sativus reveal role of sugar and auxin signalling
<p><strong>Background</strong></p> <p>Cultivation of <em>Crocus sativus</em> (saffron) faces challenges due to inconsistent flowering patterns and variations in yield. Flowering takes place in a graded way with smaller corms unable to produce flowers. Enhancing the productivity requires a comprehensive understanding of the underlying genetic mechanisms that govern this size based flowering initiation and commitment. Therefore, samples enriched with non-flowering and flowering apical buds from small (<6g) and large (>14g) corms were sequenced. </p> <p><strong>Methods and Results</strong></p> <p>Apical bud enriched samples from small and large corms were collected immediately after break of dormancy in July. RNA sequencing was performed using Illumina Novaseq 6000. <em>De-novo</em> transcriptome assembly and analysis using flowering committed buds from large corms at post-dormancy and their comparison with vegetative shoot primordia from small corms pointed out the major role of Auxin and ABA hormonal regulation. Many genes with known dual responses in flowering development and circadian rhythm like Flowering locus T and Cryptochrome 1 along with a transcript showing homology with small auxin upregulated RNA (SAUR) exhibited induced expression in flowering buds. Thorough prediction of <em>Crocus sativus</em> non-coding RNA repertoire has been carried out for the first time. Enolase was found to be acting as a major hub with protein-protein interaction analysis using Arabidopsis counterparts.</p> <p><strong>Conclusion</strong></p> <p>Transcripts belong to key pathways including phenylpropanoid biosynthesis, hormone signaling and carbon metabolism were found significantly modulated. KEGG assessment and protein-protein interaction analysis confirm the expression data. Findings unravel the genetic determinants driving the size-dependent flowering in <em>Crocus sativus</em>.</p>
EU Insights study on consumers and dietary sugars (Dataset)
<p>In 2017, EFSA received a mandate for a scientific opinion on the Tolerable Upper Intake Level of dietary sugars following a request by five national competent authorities (Denmark, Finland, Iceland, Norway and Sweden) on EFSA’s Advisory Forum.</p> <p>Social research was required to examine the views of the general public through a consumer survey, and the perspectives of relevant professional categories through qualitative interviews. Through these methods EFSA’s intention was to collect evidence on: i) public attitudes towards dietary sugars; ii) perceptions of the related risks of the dietary intake of sugars; iii) the most trusted and frequently used information sources for learning about sugars and other nutrition-related topics; and iv) other factors that influence food choice and eating behaviour. The results were intended for use by EFSA and its national competent authority partners in the EU Member States, Norway and Iceland.</p> <p>The survey was conducted among 7,469 citizens (aged between 18 and 76) across all EU27 member states plus Norway and Iceland. Data collection ran between 14<sup>th</sup> October 2020 and 11<sup>th</sup> November 2020. In most countries, at least 250 questionnaires were completed, except for the smaller countries Cyprus, Iceland, Malta, and Luxembourg, where the target was 150 due to scarcity of sample. This ensures a 95% confidence interval of roughly 8 percentage points. These sample sizes provide robust results and ensure that responses are representative in each of the countries to be surveyed.</p> <p>The sample was nationally representative with respect to age, gender and socio-economic grouping. Other demographic information collected was level of education and employment status. Respondents were also asked if they were parents so that comparisons could be made about the knowledge and opinions of parents compared to non-parents.</p> <p> </p>
Incidence and predictor of diabetic foot ulcer and its association with change in fasting blood sugar among diabetes mellitus patients at referral hospitals in Northwest Ethiopia, 2021
<p>Abstract</p> <p> </p> <p><strong>Background</strong></p> <p>Diabetes mellitus is one of the global public health problems and fasting blood sugar is an important indicator of diabetes management. Uncontrolled diabetes can lead to diabetic foot ulcers, which is a common and disabling complication. The association between fasting blood glucose level and the incidence of diabetic foot ulcers is rarely considered, and knowing its predictors is good for clinical decision-making. Therefore, the aim of this study was to determine the incidence and predictors of diabetic foot ulcers and its association with changes in fasting blood sugar among diabetes mellitus patients at referral hospitals in Northwest Ethiopia.</p> <p><strong>Methods</strong></p> <p>A multicenter retrospective follow-up study was conducted at a referral hospital in Northwest Ethiopia. A total of 539 newly diagnosed DM patients who had follow-up from 2010 to 2020 were selected using a computer-generated simple random sampling technique. Data was entered using Epi-Data 4.6 and analyzed in R software version 4.1. A Cox proportional hazard with a linear mixed effect model was jointly modeled and 95% Cl was used to select significant variables. AIC and BIC were used for model comparison.</p> <p><strong>Result</strong></p> <p>A total of 539 diabetes patients were followed for a total of 28727.53 person-month observations. Overall, 65 (12.1%) patients developed diabetic foot ulcers with incidence rate of 2.26/1000-person month observation with a 95% CI of [1.77, 2.88]. Being rural (AHR= 2.30, 95%CI: [1.23, 4.29]), being a DM patient with Diabetic Neuropathy (AHR= 2.61, 95%CI: [1.12, 6.06]), and having peripheral arterial disease(PAD) (AHR= 2.96, 95%CI: [1.37, 6.40]) were significant predictors of DFU. The time-dependent lagged value of fasting blood sugar change was significantly associated to the incident of DFU (α = 1.85, AHR=6.35, 95%CI [2.40, 16.79]).</p> <p><strong>Conclusion and recommendation</strong></p> <p>In this study, the incidence of DFU was higher than in previous studies and was influenced by multiple factors like rural residence, having neuropathy, and PAD were significant predictors of the incidence of DFU. In addition, longitudinal changes in fasting blood sugar were associated with an increased risk of DFU. Health professionals and DM patients should give greater attention to the identified risk factors for DFU were recommended.</p>
Increased water use by sugar maple trees in the presence of a dense beech understory layer
<p>The formation of a recalcitrant understory vegetation layer is a phenomenon observed in various forests around the world, which can limit tree regeneration and in the long term, modify the composition, succession process and water balance of forests. In temperate forests of southern Quebec (Canada), the proliferation of American beech (<em>Fagus grandifolia</em>) in stands dominated by sugar maple (<em>Acer saccharum</em>) can be related to the recalcitrant vegetation phenomenon. With a projected increase in the severity and duration of droughts, a better understanding of its effect on water fluxes is crucial to understand the trajectory of impacted forests. The objective of this study was to understand how recalcitrant-type vegetation, in this case beech proliferation in sugar maple stands, influence tree water use. We compared transpiration i) by overstory trees (i.e. sugar maples) and ii) by understory saplings (i.e. American beech) in sites with and without beech understory dominance. At each of the six sites, we measured sap flux density (F<sub>d</sub>) of two sugar maple trees (diameter at breast height > 9 cm) and one beech sapling (1 cm < diameter at breat height ≤ 9 cm) with thermal dissipation sensors during the growing season. At tree level, F<sub>d</sub> of sugar maple trees was significantly larger in beech-dominated sites compared to control ones, indicating greater water consumption by sugar maple when understory is dominated by beech. At stand scale, total transpiration varied between 140 and 296 mm for the study period, with no significant difference between beech-dominated and control sites. We provide two hypotheses to explain our results at tree scale: i) reduced cover by forest floor vegetation would limit transpiration through this layer, thus allowing increased availability of water resources to supply tree transpiration or ii) increased tree transpiration rate would be a mechanism to satisfy nutrient requirements in beech-dominated stands often associated with lower soil fertility. Further research is needed to better understand the mechanisms explaining tree water use given beech proliferation.</p>
Data and code to accompany sugar kelp DEB thermal response manuscript
<p>Data and R code to accompany the manuscript "Improving growth models of cultivated sugar kelp (<em>Saccharina latissima</em>) by accounting for intraspecific variation in thermal tolerance" (Krasnow et al., 2024), published in the Journal of the World Aquaculture Society.</p> <p>Some material was originally created by Celeste Venolia in March 2018-December 2019 for <a href="https://doi.org/10.1016/j.ecolmodel.2020.109151">Venolia et al. (2020)</a>.<br><br></p> <ul> <li>cold_validation.R contains the code to validate DEB kelp model against data from Trømso, Norway</li> <li>venolia_validation.R contains the code to validate the model against the data from Rhode Island, USA, reproducing the analysis from the original paper and producing new estimates with the newly-estimated temperature parameters</li> <li>SolveR_R.R includes the function that is used to solve for the specific growth rate (r)</li> <li>KelpDEB_model.R includes the deSolve-structured function used to run the model</li> </ul> <p>Please use the most recent version (3.1) so that all data/code needed to run the analyses are present.</p>
Figure 4 in Development of a decision support system for managing Heterodera schahtii in sugar beet production
Figure 4: Crop sequence in rotation 3: standard sugar beets variety "Mixer"; Cereals; WOSRWWOSR; Cereals; Oil radish; "Mixer." The SBN initial population (Pi eggs g−1 soil) = 2.
Figure 8 in Development of a decision support system for managing Heterodera schahtii in sugar beet production
Figure 8: SBN population dynamic under the semi-tolerant variety "Rosalinda" followed by non-host crops at The SBN initial population Pi (eggs g−1 soil) = 4, Tolerance (T) = 0.273, proportion of the population survived (s) = 0.35 and reproduction factor (Rf) = 3.8. The suggested number of waiting years by SBN-Watch to the next "Rosalinda" crop is four years (Pf <T).
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