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opencc-by-4.0Jun 2020View details →

Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea

This repository includes datasets published Sogin et al., Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea. Datasets include:  <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> 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.        for exploring the concentrations of sugars, dissolve organic carbon, oxygen and polyphenols occurring in sediments inside and surrounding a Posidonia oceanica seagrass meadow in SantAndra Bay, Italy.

opencc-by-4.0Dec 2022View details →

Figure 1 in Characterization of glutamine synthetase from the ammonium-excreting strain HM053 of Azospirillum brasilense

Figure 1. Transferase activity of glutamine synthetase. (A) Transferase activity of wild-type glutamine synthetase in the absence and presence of magnesium as well as with snake venom phosphodiesterase treatment; (B) Transferase activity of P347L glutamine synthetase in the absence and presence of magnesium, and with snake venom phosphodiesterase treatment. The activity of GS is expressed in µmol γ-glutamyl-hydroxamate.min-1.mg protein-1, given that the absorbance of 530 nm of 1 µmolγ-glutamylhydroxamate was 0.054. The total activity was determined in the absence of Mg2+ (-Mg2+) and the non-adenylylated (active) fraction was determined in the presence of 60 mM Mg2+ (+Mg2+). Samples were incubated at 30 ºC for 0, 10, 30 and 60 min before measuring activity. SVP-treated GS samples (+ SVP) were incubated with snake venom phosphodiesterase. GS activity reactions contained 3 µg of protein.

opencc-by-4.0Dec 2022View details →

Figure 3 in Characterization of glutamine synthetase from the ammonium-excreting strain HM053 of Azospirillum brasilense

Figure 3. Prediction of the structure of glutamine synthetase from the mutant P347L. (A) Prediction of the P347L-GS structure. The amino acid marked in pink corresponds to leucine in strain HM053; (B) b1) Prediction structure of wild-type GS from amino acid 346 to 361. b2) Prediction structure of P347L-GS from amino acid 346 to 361. b3) Alignment of prediction structures of wildtype GS and P347L GS from amino acid 346 to 361. The amino acid marked in blue corresponds to the proline that is mutated in strain HM053. The amino acid marked in pink is leucine that replaced proline in the mutated amino acid in strain HM053.

opencc-by-4.0Dec 2022View details →

Figure 2 in Characterization of glutamine synthetase from the ammonium-excreting strain HM053 of Azospirillum brasilense

Figure 2. Western blot assays of glutamine synthetase after treatment with snake venom phosphodiesterase. Samples (~ 0.3 µg GS protein) were separated by SDS‐PAGE followed by Western blotting with an anti‐GS antibody. A) Wild-type glutamine synthetase; B) P347L glutamine synthetase. Lane 1: GS after 0 min of incubation at 30 ºC without any treatment; lanes 2 to 5: GS after 0, 10, 30 and 60 min incubation at 30 ºC with snake venom phosphodiesterase. Lane 6: GS after 60 min incubation at 30 ºC without treatment.

Fig. 5 in Repeated inoculations with the lung and heartworm nematode Angiostrongylus vasorum result in increasing larval excretion and worm burden in the red fox (Vulpes vulpes)

Fig. 5. Absolute counts of Eosinophils. The dotted horizontal lines represent reference ranges based on average values ± 2 × S.D. of values of foxes from groups A3, B and D at 0 wpi. Error bars (S.E.M).

Fig. 2 in Repeated inoculations with the lung and heartworm nematode Angiostrongylus vasorum result in increasing larval excretion and worm burden in the red fox (Vulpes vulpes)

Fig. 2. Arithmetic mean worm burden at necropsy per group. Foxes of groups A were inoculated once and necropsied at 9 wpi (A1), 13 wpi (A2) or 23 wpi (A3), while foxes of groups challenged once (B) or twice (D) and the control foxes of the first (C) and second challenge (E) were necropsied 23 wpi. Bar indicates mean with outlier excluded. Error bars = S.E.M.

Fig. 3 in Repeated inoculations with the lung and heartworm nematode Angiostrongylus vasorum result in increasing larval excretion and worm burden in the red fox (Vulpes vulpes)

Fig. 3. Arithmetic mean worm fecundity (expressed as final LPG/number female worms at necropsy) per group. Foxes of groups A were inoculated once and necropsied at 9 wpi (A1), 13 wpi (A2) or 23 wpi (A3), while foxes of groups challenged once (B) or twice (D) and the control foxes of the first (C) and second challenge (E) were necropsied 23 wpi. Bar indicates mean with outlier excluded. Error bars = S.E.M.

Fig. 1 in Repeated inoculations with the lung and heartworm nematode Angiostrongylus vasorum result in increasing larval excretion and worm burden in the red fox (Vulpes vulpes)

Fig. 1. Experimental design: inoculations with 100 third stage larvae (L3) of Angiostrongylus vasorum are indicated by triangles, challenge inoculations (also with 100 L3) by circles and the differing group termination times by squares.

Fig. 4 in Repeated inoculations with the lung and heartworm nematode Angiostrongylus vasorum result in increasing larval excretion and worm burden in the red fox (Vulpes vulpes)

Fig. 4. Arithmetic mean larval counts (first stage larvae per gram of feces) of foxes dogs experimentally inoculated at 0 wpi and challenged once (group B) or twice (group D) with 100 third stage larvae of Angiostrongylus vasorum from 6 to 22 wpi. Y-axis log10 transformed. Arrows indicate the challenge time points.

FIGURE 3 in Ecological conditions predict the intensity of Hendra virus excretion over space and time from bat reservoir hosts

FIGURE 3 Variation in HeV AUC from flying foxes. (A) The forest plot displays annual estimates and 95% confidence intervals ordered by latitude and year; points are scaled by the inverse sampling variance. The horizontal axis uses a modulus transformation to accommodate wide upper bounds of some confidence intervals. (B) Fitted values and 95% confidence intervals for the top GAM, with raw data (scaled by inverse sampling variance) and modelled means coloured by roost type. Transparency denotes AUC derived from truncated time series (≤20 weeks)

FIGURE 2 Fitted HeV urine pool prevalence and 95 in Ecological conditions predict the intensity of Hendra virus excretion over space and time from bat reservoir hosts

FIGURE 2 Fitted HeV urine pool prevalence and 95% confidence intervals from the most parsimonious GAMM with week, seasonal interactions with roost type and previous food shortages, and an adjustment for relative abundance of Pteropus alecto. Weekly data are overlaid, coloured by roost type, and sized by corresponding P. alecto relative abundance. Thin lines show the fitted curves from the random factor smooth including each roost per year

FIGURE 1 in Ecological conditions predict the intensity of Hendra virus excretion over space and time from bat reservoir hosts

FIGURE 1 Spatiotemporal variation in HeV shedding for the nine Australian flying fox roosts sampled from 2012 through 2014. Curve height indicates the weekly proportion of HeV-positive urine pools, with roosts shown in order of latitude and coloured by roost type. Ticks show sampling time points. Dark grey shading indicates regional acute food shortage events, and dashed lines with light grey shading indicate the Austral winter (i.e. June through August)

FIGURE 4 in Ecological conditions predict the intensity of Hendra virus excretion over space and time from bat reservoir hosts

FIGURE 4 Spatiotemporal variation in regional HeV spillover events during the flying fox surveillance period (2012–2014) and its relationship with HeV AUC. (a) Maps display the annual distributions of spillovers (coloured by year) in relation to the nine analysed roosts. (b) Modelled relationships between AUC and spillover counts are shown with fitted values and 95% confidence intervals from GAMs for 50, 100, 200, 300, 400 and 500 km buffers of each roost. Raw data are overlaid and scaled by the inverse of the sampling variance for AUC