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40 results for “microbial production”
Microbial Bacterial Production in Lakes at North Temperate Lakes LTER 2000 - 2002
Net production of bacteria passing a 70 micron mesh, or bacteria passing a 1 micron mesh, calculated incorporation of 3H labeled leucine into cell proteins. Method based on microcentrifuge method of Smith, David C., and Farooq Azam. 1992. A simple, economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine, Marine Microbial Food Webs 6(2):107-114. Nanomolar treatments refer to leucine concentration for calculation of isotopic dilution and necessary leucine concentration to saturate uptake into bacterial cells. For a good example on how to calculate isotopic dilution see Pace. Michael L., and Jonathan J. Cole. Primary and bacterial production in lakes: are they coupled over depth? Plankton Research 16(6):661-672. Sampling Frequency: fortnightly during ice-free season - every 6 weeks during ice-covered season Number of sites: 4
Supplementary data for Model-driven engineering of Cutaneotrichosporon oleaginosus ATCC 20509 for improved microbial oil production
<p>Supplementary data corresponding to manuscript named Model-driven engineering of <em>Cutaneotrichosporon oleaginosus</em> ATCC 20509 for improved microbial oil production. </p> <p>The Supplementary material document contains supplementary figures and tables. The content of the figures and tables are indicated below. </p> <ul> <li>Figure S1. Plasmid map of pUC57NAT containing pGpd, nourseothricin acyltransferase gene and tGpd.</li> <li>Figure S2. Plasmid maps of overexpression targets containing TEF1α promoter, ATP-citrate lyase gene, TEF1α terminator, TPI1 promoter, Acetyl-CoA carboxylase gene, TPI1, YAT1 promoter, threonine synthase gene, YAT1 terminator and ENO1 promoter, hydroxymethylglutaryl-CoA synthase gene, ENO1 terminator.</li> <li>Table S2. Nucleotide sequences of promoters, genes, and terminators from <em>C. oleaginosus.</em></li> <li>Figure S3. Calibration curve of glycerol for calculating the glycerol concentration of medium.</li> <li>Figure S4. Volcano plots displaying differentially expressed genes and fold change (log2) in expression levels in WT, Δ9 and Δ12 strains at low lipid accumulation vs high lipid accumulation conditions.</li> <li>Figure S5. Flux distribution graphs of selected reactions for overexpression in C. oleaginosus.</li> <li>Figure S6. Colony PCR products were run on 1 % agarose gel. The colony PCR was performed for WT, ACL, ACC and TS transformants.</li> <li>Table S4. qPCR outputs, CT: The threshold cycle.</li> <li>Table S5. Fatty acid profile of C. oleaginosus grown at minimal medium with or without supplement (biotin, thiamine, threonine, serine, and aspartate) at 96h.</li> <li>Table S6. Lipid content, dry cell weight, and lipid weight of WT, ACL, ACC, TS, and HMGS <em>C. oleaginosus</em> at various C/N ratio minimal medium.</li> <li>Table S7. Fatty acid profile of WT, ACL, ACC, HMGS, and TS grown at C/N30, 120, 175, 200, and 300 minimal medium at 96h.</li> <li>Figure S7. Quadratic regression analysis on lipid accumulation, biomass and lipid content of wild-type, ACL, ACC, and TS C. oleaginosus at C/N 30, 120, 175, 200, 300.</li> <li>Table S8. Regression equations, statistics of regression equations for lipid content, biomass, and lipid content of wild-type, ACL, ACC, and TS.</li> <li>Table S9. Calculated optimum C/N ratios and responses (lipid content, biomass, and total lipid) by using built regression models for wild-type, ACL, ACC, and TS.</li> </ul> <p>Authors: </p> <p>Zeynep Efsun Duman-Özdamar<sup>a,b,c</sup>, Mattijs K. Julsing<sup>c</sup>, Janine A.C. Verbokkem<sup>c</sup>, Emil Wolbert<sup>c</sup>, Vitor A.P. Martins dos Santos<sup>a,b,d</sup>, Jeroen Hugenholtz<sup>e,f</sup>, Maria Suarez-Diez<sup>b*</sup></p> <p><sup>a</sup>Bioprocess Engineering, Wageningen University & Research, 6708 PB, Wageningen, the Netherlands</p> <p><sup>b</sup>Laboratory of Systems and Synthetic Biology, Wageningen University & Research, 6708 WE, Wageningen, the Netherlands</p> <p><sup>c</sup>Wageningen Food & Biobased Research, Wageningen University & Research, 6708 WE, Wageningen, The Netherlands</p> <p><sup>d</sup>LifeGlimmer GmbH, Berlin, 12163, Germany</p> <p><sup>e</sup>Faculty of Science Swammerdam Institute for Life Sciences, University of Amsterdam, 1090 GE Amsterdam, The Netherlands</p> <p><sup>f</sup>NoPalm Ingredients BV, 6709 PA Wageningen, The Netherlands</p>
In vitro antibacterial activity of microbial natural products against bacterial pathogens of veterinary and zoonotic relevance
<p>Supplemental material to the publication "<i>In vitro</i> antibacterial activity of microbial natural products against bacterial pathogens of veterinary and zoonotic relevance"</p>
Viroplant Project - Microcosm studies on the effect of bacteriophages used as plant protection products on soil microbial communities
<p>This file contains the description, data and DNA analyses on the effect of bacteriophages with a potential to be used as plant protecction products on the structure and function of soil microbial communities. The objective was to evaluate two different microcsom incubation systems with phages and microbial cells from soil, or soil itself and to analyses in a time dependent manner how the phages affect the natural soil microbiomes. The microbial communities were quantified with qPCR and their diversity analyzed with PCR amplified 16S rRNA gene sequences. Bioinformatic analyses were used to evaluate microbial community responses</p>
Data collected for: The contrasted impacts of grasshoppers on soil microbial activities in function of ecosystem productivity and herbivore diet
<p>Herbivory can have contrasted impacts on soil microbes and nutrient cycling, which has stimulated the development of conceptual frameworks exploring the links between below- and aboveground processes. The "productivity model" predicts that herbivores stimulate microbial activities and accelerate nutrient mineralization in productive ecosystems, while they have an opposite effect in less productive ecosystems. In parallel, the "diet model" predicts that herbivores feeding on conservative plants accelerate nutrient cycling while those feeding on exploitative plants decelerate nutrient cycling, due to changes in litter inputs. Since these two frameworks can lead to conflicting predictions in some cases, experimental evidence combining herbivore diet and productivity is required.</p> <p>During two consecutive years, we conducted an experiment controlling the presence of three grasshopper species consuming either grasses, forbs or both in twelve natural and managed alpine grasslands of contrasted productivities. In order to assess the effects of herbivory on soil microbes, we measured their enzymatic activities, their biomass and the soil potential nitrogen mineralization (PNM). Soil and vegetation characteristics were also determined in order to test if they modulated the effects of herbivory on microbes.</p> <p>Contrary to the predictions of the diet model, the effects of herbivory on microbial characteristics did not depend on the herbivores diet but relied on ecosystem productivity. The most productive sites were characterized by exploitative plant species which depleted N resources in the soil, and by microbes producing relatively few extracellular enzymes, leading to a lower PNM. Herbivory increased microbial biomass and decreased the production of extracellular enzymes in those sites, possibly through the stimulation of root exudates produced by exploitative species. The least productive sites were characterized by conservative plants, which led to the sequestration of soil C, and by microbes having a resource acquisition strategy (more extracellular enzymes, higher PNM). Herbivory decreased microbial biomass and increased the production of extracellular enzymes in those sites. This pattern can be explained by the loss of carbon associated with insect respiration, which increases the need for microbes to acquire resources and by a lower production of root exudates by conservative species. Therefore, the effects of two years of herbivory on soil microbes were at odds with the productivity model, which focuses instead on longer term effects corresponding to herbivory-induced changes in plant species composition. This highlights the multidimensional feature of the impacts of herbivory on ecosystem functioning, both in space and time.</p>
Interspecific social interactions shape public goods production in natural microbial communities
<p>The R code (Hesse_etal.R) descibes step by step how metal polution affects the ecology and evolution of a community-wide public good – the production of metal-detoxifying siderophores. This code accompanies the manuscript "Interspecific interactions shape public goods production in natural microbial communities" (https://www.biorxiv.org/content/10.1101/710715v1).</p> <p>The R code is divided into different sections per figure (1-5 and supplementary Figure S1). Each section first starts with reading in the appropriate data files (cvs files) and continues with statistics and plotting of figures.</p>
Data for "Temporal and vertical variability in phytoplankton primary production and microbial community respiration in the North Pacific Subtropical Gyre"
<p>This ALOHA_GOP&R.xslx data set provides measurements of biological rates conducted between April 2015 and July 2020 at different depths in the euphotic zone at or in the vicinity of Station ALOHA (22° 45' N, 158° W), the long-term sampling site of the Hawaii Ocean Time-series (HOT) program, within the North Pacific Subtropical Gyre. </p> <p>The file ALOHA_GOP&R.xslx contains incubation-based measurements of gross oxygen production and community respiration that were measured in the same incubation bottles by applying the <sup>18</sup>O-water method and tracking net changes in oxygen to argon ratios during dawn to dusk in situ incubations, following Ferrón et al. (2016). The samples were measured using membrane inlet mass spectrometry. Rates were measured at 6 depths within the euphotic zone: 5, 25, 45, 75, 100, 125 m, except in a few occasions in which there were no measurements made at 125 m.</p> <p>Data description</p> <table> <tbody> <tr> <td> <p>Variable</p> </td> <td> <p>Description</p> </td> <td> <p>Units</p> </td> </tr> <tr> <td> <p>Date </p> </td> <td> <p>Date of sampling and start of incubation (UTC -10 hours)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Cruise ID</p> </td> <td> <p>Cruise identification</p> </td> <td> <p>#</p> </td> </tr> <tr> <td> <p>Latitude</p> </td> <td> <p>Latitude</p> </td> <td> <p>degrees N</p> </td> </tr> <tr> <td> <p>Longitude</p> </td> <td> <p>Longitude</p> </td> <td> <p>degrees E</p> </td> </tr> <tr> <td>Stn ALOHA </td> <td>Whether the data are from Station ALOHA (yes/no)</td> <td> </td> </tr> <tr> <td>IncT</td> <td> <p>Incubation time</p> </td> <td> <p>hours</p> </td> </tr> <tr> <td> <p>Depth</p> </td> <td>Nominal depth of sampling and incubation </td> <td> <p>meters</p> </td> </tr> <tr> <td>GOP</td> <td>Gross oxygen production </td> <td>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></td> </tr> <tr> <td>CR</td> <td>Estimate of community respiration </td> <td>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></td> </tr> <tr> <td> <p>Flag GOP</p> </td> <td>Flag identification for gross oxygen production (good=1,questionable=2)</td> <td> <p>#</p> </td> </tr> <tr> <td> <p>Flag CR</p> </td> <td> <p>Flag identification for community respiration (good=1,questionable=2)</p> </td> <td> <p>#</p> </td> </tr> </tbody> </table> <p> </p> <p>The Light-dark_ALOHA_rates.xlsx file contains metabolic rates measured by the ligth-dark oxygen method between June 2005 and June 2007 at different depths in the euphotic zone at Station ALOHA (22° 45' N, 158° W). Rates of net community production, communnity respiration, and gross oxygen production were measured at 6 depths within the euphotic zone (5, 25, 45, 75, 100, 125 m) in dawn to dawn incubations, following Williams et al. (2004). </p> <p>Data description</p> <table> <tbody> <tr> <td> <p>Variable</p> </td> <td> <p>Description</p> </td> <td> <p>Units</p> </td> </tr> <tr> <td> <p>HOT</p> </td> <td>HOT cruise number</td> <td> <p>#</p> </td> </tr> <tr> <td> <p>Date</p> </td> <td>Date of sampling and start of incubation (UTC -10)</td> <td> <p> </p> </td> </tr> <tr> <td> <p>Depth</p> </td> <td>Nominal depth of sampling and incubation </td> <td> <p>meters</p> </td> </tr> <tr> <td>GOP</td> <td>Gross oxygen production, average of 8 replicates</td> <td>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></td> </tr> <tr> <td>GOP SE</td> <td>Gross oxygen production standard error </td> <td>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></td> </tr> <tr> <td>CR</td> <td> <p>Dark community respiration, average of 8 replicates</p> </td> <td> <p>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></p> </td> </tr> <tr> <td> <p>CR SE</p> </td> <td>Dark community respiration standard error</td> <td> <p>meters</p> </td> </tr> <tr> <td>NCP</td> <td>Net community production,average of 8 replicates </td> <td>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></td> </tr> <tr> <td>NCP SE</td> <td>Net community production standard error </td> <td>mmol O<sub>2</sub> m<sup>-3</sup> d<sup>-1</sup></td> </tr> </tbody> </table> <p> </p>
Datasets - Effect of Organic or Inorganic Fertilization on Microbial Flocs Production in Integrated Cultivation of Ulva lactuca with Oreochromis niloticus and Penaeus vannamei
<p>Dataset with experimental results </p>
Data collected for: The contrasted impacts of grasshoppers on soil microbial activities in function of ecosystem productivity and herbivore diet
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Productivity-driven decoupling of microbial carbon use efficiency and respiration across global soils
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Implementation of ATP and Microbial Indicator Testing for Hygiene Monitoring in a Tofu Production Facility Improves Product Quality and Hygienic Conditions of Food Contact Surfaces: A Case Study
<p>This is the code and associated data that was used to generate conclusions for the following manuscript published in Applied and Environmental Microbiology:</p> <p>DOI: 10.1128/AEM.02278-20</p> <p>Implementation of ATP and Microbial Indicator Testing for Hygiene Monitoring in a Tofu Production Facility Improves Product Quality and Hygienic Conditions of Food Contact Surfaces: A Case Study</p> <p>Authors: Jonathan H. Sogin(a), Gabriela Lopez Velasco(b), Burcu Yordem(b), Cari K. Lingle(b), John M. David(b), Mario Cobo(a), Randy W. Worobo(a)</p> <p>(a)Department of Food Science, Cornell University, Ithaca, NY, USA</p> <p>(b)3M Company, St. Paul, MN, USA</p> <p>Address correspondence to Jonathan H. Sogin, jhs397@cornell.edu</p>
Data from: Microbial composition play the leading role in volatile fatty acid production in the fermentation of different scale of corn stover with rumen fluid
<p>Rumen fluid is a natural and green biocatalyst that can efficiently degrade biomass into volatile fatty acid (VFA) used to produce value-added materials. But the essence of high degradation efficiency in the rumen has not been fully analyzed. This study investigated the contribution of substrate structure and microbial composition to volatile fatty acid production in the fermentation of corn stover. The ball milled corn stover were innovatively applied to ferment with the rumen fluid collected at different digestion times. Exogeneous cellulase was also added to the ruminal fermentation to further reveal the inner mechanism. With prolonged digestion time, the microbial community relative abundance levels of Bacteroidetes and Firmicutes increased from 29.98% to 72.74% and decreased from 51.76% to 22.11%, respectively. The highest VFA production of the corn stover was achieved via treatment with the rumen fluid collected at 24 h which was up to 9508 mg/L. The ball milled corn stover achieved high VFA production because of the more accessible substrate structure. The application of exogenous cellulase has no significant influence to the ruminal fermentation. The microbial community abundance contributed more to the VFA production compared with the substrate structures.</p>
Simulation results for "Integration of Plant and Microbial Oil Processing at Oilcane Biorefineries for More Sustainable Biofuel Production" publication
<p>Simulation results for "Integration of Plant and Microbial Oil Processing at Oilcane Biorefineries for More Sustainable Biofuel Production" publication.</p>
Dataset - Effect of Organic or Inorganic Fertilization on Microbial Flocs Production in Integrated Cultivation of Ulva lactuca with Oreochromis niloticus and Penaeus vannamei
<p>Dataset with experimental results</p>
Sample programs of an eco-redox model for the article: Microbial redox cycling enhances ecosystem thermodynamic efficiency and productivity
<p><span>Microbial life in low-energy ecosystems relies on individual energy conservation, optimizing </span><span>energy use in response to interspecific competition, and mutualistic interspecific syntrophy. Our study proposes a novel community-level strategy for increasing energy use efficiency. By</span> <span>utilizing a</span><span>n</span> <span>oxidation-reduction (redox) reaction network model that represents microbial redox metabolic interactions, we </span><span>investigated multiple species-level competition and cooperation within the network</span><span>. Our results suggest that microbial functional diversity allows for metabolic handoffs</span><span>, which in turn lead to increased energy use efficiency. Furthermore, the mutualistic division of labor and the resulting </span><span>complexity of redox pathways actively </span><span>drive material cycling, further promoting energy exploitation. Our findings reveal the potential of self-organized ecological interactions to develop efficient energy utilization strategies, with important implications for microbial ecosystem functioning and </span><span>co-</span><span>evolution of life and Earth.</span></p>
Sample programs of an eco-redox model for the article: Microbial redox cycling enhances ecosystem thermodynamic efficiency and productivity
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Data from: Microbial composition play the leading role in volatile fatty acid production in the fermentation of different scale of corn stover with rumen fluid
Open the record for dataset details and reuse information.
Microbial Production of an Aromatic Homo-Polyester
<p>Supplementary datasets for the paper "Microbial Production of an Aromatic Homo-Polyester".</p>
Transmission of beneficial yeasts accompanies offspring production in Drosophila – an initial evolutionary stage of insect maternal care through manipulation of microbial load?
<p>Parent-to-offspring transmission of beneficial microorganisms is intimately interwoven with the evolution of social behaviors. Ancestral stages of complex sociality-microbe vectoring interrelationships may be characterized by high costs of intensive parental care and hence only a weak link between the transmission of microbial symbionts and offspring production. We investigate the relationship between yeast symbiont transmission and egg-laying, as well as some general factors thought to drive the 'farming' of microscopic fungi by the fruit fly <em>Drosophila</em> <em>melanogaster</em>, an insect with no obvious parental care but which is highly dependent on dietary microbes during offspring development. The process of transmitting microbes involves flies ingesting microbes from their previous environment, storing and vectoring them, and finally depositing them in a new environment. This study revealed that fecal materials of adult flies play a significant role in this process, as they contain viable yeast cells that support larval development. During single patch visits, egg-laying female flies transmitted more yeast cells than non-egg-laying females, suggesting that dietary symbiont transmission is not random, but linked to offspring production. The crop, an extension of the foregut, was identified as an organ capable of storing viable yeast cells during travel between egg-laying sites. However, the amount of yeast in the crop reduced rapidly during periods of starvation. Although females starved for 24 hours deposited a smaller amount of yeast than those starved for 6 hours, the yeast inoculum produced still promoted the development of larval offspring. The results of these experiments suggest that female <em>Drosophila</em> fruit flies have the ability to store and regulate the transfer of microorganisms beneficial to their offspring via the shedding of fecal material. We argue that our observation may represent an initial evolutionary stage of maternal care through the manipulation of microbial load, from which more specialized feedbacks of sociality and microbe management may evolve.</p>
Supplementary data: Integrated use of consortia-based microbial inoculants and nutrient complex stimulates the rhizosphere microbiome and soybean productivity
<p>The data represent the impact of microbial consortia consisting of different combinations of <em>Bradyrhizobium japonicum</em>, <em>Bacillus megaterium</em>, <em>Bacillus subtilis</em>, and <em>Azotobacter chroococcum</em> with or without nutrient complex (S, Mg, Mn, Fe, Zn, Cu, B, and Mo) on the abundance and activity of microorganisms in the rhizosphere, soybean growth and development, as well as the quantity and quality of seed yield under field conditions.</p> <p>A field experiment was performed to evaluate the responses of the rhizomicrobiome and soybean to seed treatments with multiple bacterial strains (<em>Bradyrhizobium japonicum</em>, <em>Bacillus subtilis</em>, <em>Bacillus megaterium</em>, and <em>Azotobacter chroococcum</em>), applied individually or in consortia, with and without nutrient complex (S, Mg, Mn, Fe, Zn, Cu, B, and Mo). Seed treatments with microbial consortia of <em>Br. japonicum</em>, <em>B. subtilis</em>/<em>B. megaterium</em>, <em>A. chroococcum</em> strains and nutrients had the highest effect on the abundance of total bacteria, azotobacters, nitrogen-fixing bacteria, actinomycetes, and activity of dehidrogenase in soybean rhizosphere. The highest effect on plant height, plant weight, pod number, pod weight, seed number, and seed weight was obtained from treatment with <em>Br. japonicum</em> strains with nutrients, followed by co-inoculation with <em>B. megaterium</em> and <em>A. chroococcum</em>. In comparison with the control and <em>Bradyrhizobium</em> single inoculation, a statistically significant increase in the seed yield was recorded in treatment with <em>Br. japonicum</em>, <em>B. megaterium</em>, <em>A. chroococcum,</em> and nutrients, reflecting the highest increase in protein and oil yield. The interactive effects of microbial consortia and nutrients could be used as promising seed technology for sustainable soybean cropping.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.