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Keywords = Streptococcus parauberis

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21 pages, 3098 KiB  
Article
Study of the Microbiome of the Cretan Sour Cream Staka Using Amplicon Sequencing and Shotgun Metagenomics and Isolation of Novel Strains with an Important Antimicrobial Potential
by Konstantinos Papadimitriou, Marina Georgalaki, Rania Anastasiou, Athanasia-Maria Alexandropoulou, Eugenia Manolopoulou, Georgia Zoumpopoulou and Effie Tsakalidou
Foods 2024, 13(7), 1129; https://doi.org/10.3390/foods13071129 - 8 Apr 2024
Viewed by 1587
Abstract
Staka is a traditional Greek sour cream made mostly from spontaneously fermented sheep milk or a mixture of sheep and goat milk. At the industrial scale, cream separators and starter cultures may also be used. Staka is sometimes cooked with flour to absorb [...] Read more.
Staka is a traditional Greek sour cream made mostly from spontaneously fermented sheep milk or a mixture of sheep and goat milk. At the industrial scale, cream separators and starter cultures may also be used. Staka is sometimes cooked with flour to absorb most of the fat. In this study, we employed culture-based techniques, amplicon sequencing, and shotgun metagenomics to analyze the Staka microbiome for the first time. The samples were dominated by Lactococcus or Leuconostoc spp. Most other bacteria were lactic acid bacteria (LAB) from the Streptococcus and Enterococcus genera or Gram-negative bacteria from the Buttiauxella, Pseudomonas, Enterobacter, Escherichia-Shigella, and Hafnia genera. Debaryomyces, Kluyveromyces, or Alternaria were the most prevalent genera in the samples, followed by other yeasts and molds like Saccharomyces, Penicillium, Aspergillus, Stemphylium, Coniospotium, or Cladosporium spp. Shotgun metagenomics allowed the species-level identification of Lactococcus lactis, Lactococcus raffinolactis, Streptococcus thermophilus, Streptococcus gallolyticus, Escherichia coli, Hafnia alvei, Streptococcus parauberis, and Enterococcus durans. Binning of assembled shotgun reads followed by recruitment plot analysis of single reads could determine near-complete metagenome assembled genomes (MAGs). Culture-dependent and culture-independent analyses were in overall agreement with some distinct differences. For example, lactococci could not be isolated, presumably because they had entered a viable but not culturable (VBNC) state or because they were dead. Finally, several LAB, Hafnia paralvei, and Pseudomonas spp. isolates exhibited antimicrobial activities against oral or other pathogenic streptococci, and certain spoilage and pathogenic bacteria establishing their potential role in food bio-protection or new biomedical applications. Our study may pave the way for additional studies concerning artisanal sour creams to better understand the factors affecting their production and the quality. Full article
(This article belongs to the Special Issue New Insights into Milk and Dairy Products: Quality and Sustainability)
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Figure 1
<p>Taxonomic profile of Staka sour cream samples based on 16S rDNA amplicon data at the phylum (<b>A</b>), family (<b>B</b>), and genus (<b>C</b>) levels. Panel (<b>C</b>) presents genera with abundance ≥ 1%. Alpha-diversity analysis of 16S rDNA measured using the total number of OTUs at genus level of Staka samples (<b>D</b>). Beta-diversity shown through a principal coordinate analysis (PCoA) employing the Bray–Curtis distances for the same samples (<b>E</b>).</p>
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<p>Taxonomic profile of Staka sour cream samples based on ITS amplicon data at the phylum (<b>A</b>), family (<b>B</b>), and genus (<b>C</b>) levels. Panel (<b>C</b>) presents genera with abundance ≥ 1%. Alpha-diversity analysis of ITS reads measured using the total number of OTUs at genus level of Staka sour cream samples (<b>D</b>). Beta-diversity shown through a principal coordinate analysis (PCoA) employing the Bray–Curtis distances for the same samples (<b>E</b>).</p>
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<p>Taxonomic profile of Staka 2 sour cream sample, based on the mapping of shotgun metagenomics reads at the species level (<b>A</b>). Alpha-diversity of shotgun reads measured using the total number of OTUs of Staka 2 (<b>B</b>). Bins of metagenomics scaffolds of Staka 2 (<b>C</b>). Dots of same colors represent scaffolds that originate from the same species, as indicated in the figure. Functional analysis of annotated scaffolds of Staka 2 using the MG-RAST server (<b>D</b>).</p>
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<p>Recruitment plots of the sequencing reads of Staka 2 sour cream sample against reference genomes of <span class="html-italic">Lactococcus lactis</span> (CP015902.1) (<b>A</b>), <span class="html-italic">Lactococcus raffinolactis</span> (CP023392.1) (<b>B</b>), <span class="html-italic">Streptococcus gallolyticus</span> (CP113954.2) (<b>C</b>), and <span class="html-italic">Streptococcus thermophilus</span> (CP031545.1) (<b>D</b>).</p>
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18 pages, 2600 KiB  
Article
Nine New Antibacterial Diterpenes and Steroids from the South China Sea Soft Coral Lobophytum catalai Tixier-Durivault
by Sheng-Hui Zhu, Yuan-Min Chang, Ming-Zhi Su, Li-Gong Yao, Song-Wei Li, Hong Wang and Yue-Wei Guo
Mar. Drugs 2024, 22(1), 50; https://doi.org/10.3390/md22010050 - 20 Jan 2024
Cited by 3 | Viewed by 2016
Abstract
Five new cembrane-type diterpenes, lobocalines A–E (15), and four new steroids, lobocaloids A–D (912), along with six known related compounds (68 and 1315) were isolated from the Yalong Bay [...] Read more.
Five new cembrane-type diterpenes, lobocalines A–E (15), and four new steroids, lobocaloids A–D (912), along with six known related compounds (68 and 1315) were isolated from the Yalong Bay soft coral Lobophytum catalai Tixier-Durivault. The structures of the new compounds were elucidated by extensive spectroscopic analysis, NMR calculation with DP4+ analysis, time-dependent density functional theory–electronic circular dichroism (TDDFT-ECD) calculations, X-ray diffraction analyses and comparison with the reported spectroscopic data of known compounds. Further, with the aid of X-ray diffraction analysis, the structure of lobocrasol B (15) was firmly revised as 15a. In in vitro bioassays, compound 2 showed moderate antibacterial activities against fish pathogenic bacteria Streptococcus parauberis KSP28 and Phoyobacterium damselae FP2244 with minimum inhibitory concentration (MIC) values of 8.7 and 17.3 µg/mL, respectively. All the steroids exhibited antibacterial activities against the S. parauberis KSP28 with MIC values ranging from 12.3 to 53.6 µg/mL. Compounds 2, 7 and 14 have remarkable inhibitory effects on the hemolysin production of Staphylococcus aureus, while compounds 812 have medium inhibitory effects on the pyocyanin production in Pseudomonas aeruginosa. Full article
(This article belongs to the Section Structural Studies on Marine Natural Products)
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Figure 1
<p>Chemical structures of compounds <b>1</b>–<b>16</b>.</p>
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<p>The <sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and ROESY correlations of compounds <b>1</b>–<b>5</b>.</p>
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<p>Perspective ORTEP drawing of the X-ray structure of <b>1</b> (Carbon atoms are represented by black ellipsoids, oxygen atoms are represented by red ellipsoids, and hydrogen atoms are represented by green spheres).</p>
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<p>Experimental ECD spectrum of <b>3</b> (black), calculated ECD spectra of the enantiomers (6<span class="html-italic">R</span>, 11<span class="html-italic">S</span>, 12<span class="html-italic">S</span>)-<b>3</b> (red) and (6<span class="html-italic">S</span>, 11<span class="html-italic">R</span>, 12<span class="html-italic">R</span>)-<b>3</b> (blue).</p>
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<p>Experimental ECD spectrum of <b>4</b> (black), calculated ECD spectra of the enantiomers (5<span class="html-italic">S</span>, 11<span class="html-italic">R</span>, 12<span class="html-italic">R</span>)-<b>4</b> (red) and (5<span class="html-italic">R</span>, 11<span class="html-italic">S</span>, 12<span class="html-italic">S</span>)-<b>4</b> (blue).</p>
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<p>Experimental ECD spectrum of <b>5</b> (black), calculated ECD spectra of the enantiomers (5<span class="html-italic">S</span>, 11<span class="html-italic">R</span>, 12<span class="html-italic">R</span>)–<b>5</b> (red) and (5<span class="html-italic">R</span>, 11<span class="html-italic">S</span>, 12<span class="html-italic">S</span>)–<b>5</b> (blue).</p>
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<p>The <sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and NOESY correlations of compounds <b>9</b>–<b>12</b>.</p>
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<p>Revised structure (<b>15a</b>) and originally structure of lobophytrol B (<b>15</b>) (Carbon atoms are represented by black ellipsoids, oxygen atoms are represented by red ellipsoids, and hydrogen atoms are represented by green spheres).</p>
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<p>Efficacy of compounds <b>1</b>–<b>4</b>, <b>6</b>–<b>8</b> and <b>13</b>–<b>15</b> in inhibiting the hemolytic activity of <span class="html-italic">S. aureus</span>. ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05. The assays were independently repeated at least three times.</p>
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<p>Efficacy of compounds <b>1</b>, <b>3</b>–<b>4</b> and <b>6</b>–<b>15</b> in the pyocyanin production of <span class="html-italic">P. aeruginosa</span>. ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05. The assays were independently repeated at least three times.</p>
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14 pages, 3150 KiB  
Article
Molecular Characterization and Antibacterial Potential of Goose-Type Lysozyme from Japanese Pufferfish (Takifugu rubripes)
by Xinyu Cao, Zhen Yang, Minghong Gao, Xu Yang, Shuhui Wang, Ruihu Zhao, Lei Chen, Chen Jiang and He Wang
Fishes 2023, 8(12), 577; https://doi.org/10.3390/fishes8120577 - 26 Nov 2023
Viewed by 1767
Abstract
Lysozyme plays a crucial role in the innate immune response against bacterial phagocytosis by hydrolyzing the peptidoglycan layer of the bacterial cell wall. In this study, we characterized a goose-type lysozyme gene (TrLysG) in Japanese pufferfish. It is made up of [...] Read more.
Lysozyme plays a crucial role in the innate immune response against bacterial phagocytosis by hydrolyzing the peptidoglycan layer of the bacterial cell wall. In this study, we characterized a goose-type lysozyme gene (TrLysG) in Japanese pufferfish. It is made up of an ORF of 573 bp that encodes a polypeptide of 190 amino acids. TrLysG includes a characteristic bacterial soluble lytic transglycosylase (SLT) domain, which contains three catalytic residues (Glu71, Asp84 and Asp95) and a highly conserved GLMQ motif (Gly90, Leu91, Met92 and Gln93). Phylogenetic analyses revealed that TrLysG is clustered together with its counterparts from other teleost fishes. Furthermore, mRNA expression analyses showed that TrLysG was highly expressed in healthy mucosal tissues (intestines and gills), and considerably up-regulated in response to Vibrio harveyi infection in the intestines, gills, and liver. At pH 6 and 55 °C, the pure recombinant TrLysG (rTrLysG) exhibits optimum activity. It also displayed antimicrobial activity against three Gram-positive bacteria (Streptococcus parauberis, Staphylococcus pasteuri and Staphylococcus epidermidis) as well as five Gram-negative bacteria (Shewanella, Aeromonas hydrophila, Escherichia coli, Vibrio parahaemolyticus and V. harveyi). Our results highlighted the significant role of TrLysG in immune defense against invading pathogens, thereby contributing to the prevention and alleviation of disease spread in aquaculture. Full article
(This article belongs to the Special Issue Fish Diseases Diagnostics and Prevention in Aquaculture)
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Graphical abstract

Graphical abstract
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<p>Alignment of the full amino acid sequences of TrLysG with other homologues. Sequences with identical residues are highlighted in red, while those with 75% to 100% similarity are highlighted in red text with blue boxes. The predicted secondary structure of TrLysG is displayed above the alignment, with curves representing alpha helices and arrows representing beta folding. Three catalytic residues (Glu71, Asp84 and Asp95) and the GLMQ motif (Gly90, Leu91, Met92 and Gln93) are highlighted in star and triangle, respectively. The SLT domain is highlighted in green line.</p>
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<p>Predicted tertiary structure of TrLysG. The α-helices are highlighted in yellow. Three catalytic residues (Glu<sup>71</sup>, Asp<sup>84</sup> and Asp<sup>95</sup>) are labelled in red.</p>
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<p>Phylogenetic analysis of TrLysG with known orthologs from vertebrate phylum. The percentage of trees in which the associated taxa clustered together is shown above the branches. TrLysG is highlighted with a diamond.</p>
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<p>Basal gene expression of <span class="html-italic">TrLysG</span> in nine healthy tissues. Expression profiles were calibrated against those in the muscle. A black dot on the bar represents each piece of data. The different lowercase letters marked at different tissues indicated a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Expression of <span class="html-italic">TrLysG</span> following infection with <span class="html-italic">V. harveyi</span> in the intestines, gills, and liver. <span class="html-italic">TrLysG</span> expression level was normalized with <span class="html-italic">β-actin</span> and shown as mean ± SE of fold change from the control. A black dot on the bar represents each piece of data. The asterisk (*) indicates a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Enzymatic assays of rTrLysG. Optimal temperature and pH of rTrLysG, as determined by turbidimetric assay.</p>
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14 pages, 381 KiB  
Review
The Controversial Nature of Some Non-Starter Lactic Acid Bacteria Actively Participating in Cheese Ripening
by Svetoslav G. Dimov
BioTech 2023, 12(4), 63; https://doi.org/10.3390/biotech12040063 - 9 Nov 2023
Cited by 2 | Viewed by 2182
Abstract
This mini review deals with some controversial non-starter lactic acid bacteria (NSLAB) species known to be both human and animal pathogens but also health-promoting and probiotic. The focus is on Lactococcus garvieae, two Streptococcus species (S. uberis and S. parauberis), [...] Read more.
This mini review deals with some controversial non-starter lactic acid bacteria (NSLAB) species known to be both human and animal pathogens but also health-promoting and probiotic. The focus is on Lactococcus garvieae, two Streptococcus species (S. uberis and S. parauberis), four Weissella species (W. hellenica, W. confusa, W. paramesenteroides, and W. cibaria), and Mammalicoccus sciuri, which worldwide, are often found within the microbiotas of different kinds of cheese, mainly traditional artisanal cheeses made from raw milk and/or relying on environmental bacteria for their ripening. Based on literature data, the virulence and health-promoting effects of these bacteria are examined, and some of the mechanisms of these actions are reviewed. Additionally, their possible roles in cheese ripening are also discussed. The analysis of the literature data available so far showed that, in general, the pathogenic and the beneficial strains, despite belonging to the same species, show somewhat different genetic constitutions. Yet, when the safety of a given strain is assessed, genomic analysis on its own is not enough, and a polyphasic approach including additional physiological and functional tests is needed. Full article
13 pages, 2347 KiB  
Article
A Comparative Analysis of the Stomach, Gut, and Lung Microbiomes in Rattus norvegicus
by Taif Shah, Yuhan Wang, Yixuan Wang, Qian Li, Jiuxuan Zhou, Yutong Hou, Binghui Wang and Xueshan Xia
Microorganisms 2023, 11(9), 2359; https://doi.org/10.3390/microorganisms11092359 - 21 Sep 2023
Cited by 1 | Viewed by 1871
Abstract
Urban rats serve as reservoirs for several zoonotic pathogens that seriously endanger public health, destroy stored food, and damage infrastructure due to their close interaction with humans and domestic animals. Here, we characterize the core microbiomes of R. norvegicus’s stomach, gut, and lung [...] Read more.
Urban rats serve as reservoirs for several zoonotic pathogens that seriously endanger public health, destroy stored food, and damage infrastructure due to their close interaction with humans and domestic animals. Here, we characterize the core microbiomes of R. norvegicus’s stomach, gut, and lung using 16S rRNA next-generation Illumina HiSeq sequencing. The USEARCH software (v11) assigned the dataset to operational taxonomic units (OTUs). The alpha diversity index was calculated using QIIME1, while the beta diversity index was determined using the Bray–Curtis and Euclidean distances between groups. Principal component analyses visualized variation across samples based on the OTU information using the R package. Linear discriminant analysis, effect sizes (LEfSe), and phylogenetic investigation were used to identify differentially abundant taxa among groups. We reported an abundance of microbiota in the stomach, and they shared some of them with the gut and lung microbiota. A close look at the microbial family level reveals abundant Lactobacillaceae and Bifidobacteriaceae in the stomach, whereas Lactobacillaceae and Erysipelotrichaceae were more abundant in the gut; in contrast, Alcaligenaceae were abundant in the lungs. At the species level, some beneficial bacteria, particularly Lactobacillus reuteri and Lactobacillus johnsonii, and some potential pathogens, such as Bordetella hinzii, Streptococcus parauberis, Porphyromonas pogonae, Clostridium perfringens, etc., were identified in stomach, gut, and lung samples. Moreover, the alpha and beta diversity indexes revealed significant differences between the groups. Further analysis revealed abundant differential taxonomic biomarkers, i.e., increased Prevotellaceae and Clostridia in the lungs, whereas Campylobacteria and Lachnospirales were richest in the stomachs. In conclusion, we identified many beneficial, opportunistic, and highly pathogenic bacteria, confirming the importance of urban rats for public health. This study recommends a routine survey program to monitor rodent distribution and the pathogens they carry and transmit to humans and other domestic mammals. Full article
(This article belongs to the Special Issue Gut Microbiome in Homeostasis and Disease)
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Figure 1
<p><span class="html-italic">R. norvegicus</span> stomach, gut, and lung microbial compositions. (<b>a</b>) The Venn diagram shows that 395 OTUs were shared by stomach, gut, and lung data; however, 216 OTUs are unique to the stomach, 48 to the gut, and 202 to the lung. (<b>b</b>) The details about the top 15 OUTs in the stomach, gut, and lung groups are shown. (<b>c</b>) Shows the distinct microbial communities between the three groups.</p>
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<p><span class="html-italic">R. norvegicus</span> stomach, gut, and lung microbial diversity. Alpha diversity quantifies differences in microbial composition at the species level. The (<b>a</b>) Chao1 (<span class="html-italic">p</span> = 0.009) and (<b>b</b>) Simpson (<span class="html-italic">p</span> = 0.02) diversity indexes showed significant differences between the stomach, gut, and lung groups.</p>
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<p>The Bray–Curtis and Euclidean distance metrics revealed significant differences among the microbial communities in the stomach, gut, and lung samples of <span class="html-italic">R. norvegicus</span>. (<b>a</b>) Using the Bray–Curtis distance, PCoA plots visualize the percentage variations between PCoA1 (25.1%) and PCoA2 (19.2%) among different samples. (<b>b</b>) Two PCoA coordinates based on Euclidean distances revealed percentage variations for PCoA1 (24.1%) and PCoA2 (18.1%) among the samples. (<b>c</b>) Bray–Curtis distances. The most similarity and lowest difference in the bacterial community profile was 0.2182 (shown with yellow triangles), observed between H04 and A02 (gut). (<b>d</b>) The lowest difference was 0.286 (shown with orange triangles), observed between A04 (gut) and E03 (stomach).</p>
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<p>Overall, the cladogram shows 68 relatively abundant taxonomic clades (with an LDA score &gt; 3.0) in the stomach (blue), gut (red), and lung (green) groups. Of the total, 15 clades existed in the stomach, 2 in the gut, and 51 in the lungs, consistent with the LEfSe result. In the lung, Burkholderiales were most abundant, followed by Actinobacteriota, Bacteroidota, etc.; in the stomach, Lachnospiraceae and Lachnospirales were abundant, while Apibacter and uncultured Bacteroidetes were abundant in the gut. The cladogram’s circles (each small circle) radiating from the inside to the outside represent different taxonomic groups. The diameters of the circles (each small) represent abundant bacterial taxa, and classifications with no discernible differences are highlighted in yellow.</p>
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<p>A random forest analysis determined the 15 most important OTUs with the highest discriminatory power between the three groups. Random forests of 10,000 trees were computed to generate the classifiers using the R package (v4.1.2). For each OUT, the mean decrease Gini and mean decrease Accuracy values were averaged, and the top 15 OTUs with the highest mean decrease Gini and mean decrease Accuracy values were plotted. OTUs with mean decreases in Gini mean decrease Accuracy values above the breakpoint curve were included in the classifier.</p>
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14 pages, 2935 KiB  
Article
Lobosteroids A–F: Six New Highly Oxidized Steroids from the Chinese Soft Coral Lobophytum sp.
by Zi-Yi Xia, Man-Man Sun, Yang Jin, Li-Gong Yao, Ming-Zhi Su, Lin-Fu Liang, Hong Wang and Yue-Wei Guo
Mar. Drugs 2023, 21(8), 457; https://doi.org/10.3390/md21080457 - 19 Aug 2023
Cited by 1 | Viewed by 3135
Abstract
To explore the steroidal constituents of the soft coral Lobophytum sp. at the coast of Xuwen County, Guangdong Province, China, a chemical investigation of the above-mentioned soft coral was carried out. After repeated column chromatography over silica gel, Sephadex LH-20, and reversed-phase HPLC, [...] Read more.
To explore the steroidal constituents of the soft coral Lobophytum sp. at the coast of Xuwen County, Guangdong Province, China, a chemical investigation of the above-mentioned soft coral was carried out. After repeated column chromatography over silica gel, Sephadex LH-20, and reversed-phase HPLC, six new steroids, namely lobosteroids A–F (16), along with four known compounds 710, were obtained. Their structures were determined by extensive spectroscopic analysis and comparison with the spectral data reported in the literature. Among them, the absolute configuration of 1 was determined by X-ray diffraction analysis using Cu Kα radiation. These steroids were characterized by either the presence of an α,β-α′,β′-unsaturated carbonyl, or an α,β-unsaturated carbonyl moiety in ring A, or the existence of a 5α,8α-epidioxy system in ring B, as well as diverse oxidation of side chains. The antibacterial bioassays showed that all isolated steroids exhibited significant inhibitory activities against the fish pathogenic bacteria Streptococcus parauberis FP KSP28, Phoyobacterium damselae FP2244, and Streptococcus parauberis SPOF3K, with IC90 values ranging from 0.1 to 11.0 µM. Meanwhile, compounds 2 and 610 displayed potent inhibitory effects against the vancomycin-resistant Enterococcus faecium bacterium G7 with IC90 values ranging from 4.4 to 18.3 µM. Therefore, ten highly oxidized steroids with strong antibacterial activities were isolated from the Chinese soft coral Lobophytum sp., which could be developed as new chemotypes of antibacterial drug leads. Full article
(This article belongs to the Section Structural Studies on Marine Natural Products)
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Graphical abstract
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<p>Chemical structures of compounds <b>1</b>–<b>10</b>.</p>
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<p><sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and NOE correlations of <b>1</b>.</p>
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<p>Perspective ORTEP drawing of <b>1</b> (displacement ellipsoids are drawn at the 50% probability level).</p>
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<p><sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and NOE correlations of <b>2</b>.</p>
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<p><sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and NOE correlations of <b>3</b>.</p>
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<p><sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and NOE correlations of <b>4</b>.</p>
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<p><sup>1</sup>H–<sup>1</sup>H COSY, selected key HMBC and NOE correlations of <b>5</b>.</p>
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<p><sup>1</sup>H–<sup>1</sup>H COSY and selected key HMBC correlations of <b>6</b>.</p>
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16 pages, 3024 KiB  
Article
Antimicrobial Activity of Identified Ubiquitin-40S Ribosomal Protein S27a (RPS27A), Ubiquitin-like Protein Fubi, and Ribosomal Protein (S30FAU) in the Starry Flounder (Platichthys stellatus)
by Ha-Jeong Son, Gyoungsik Kang, Won-Sik Woo, Kyung-Ho Kim, Min-Young Sohn, Jong-Won Park, Dain Lee and Chan-Il Park
Fishes 2023, 8(4), 187; https://doi.org/10.3390/fishes8040187 - 30 Mar 2023
Viewed by 2149
Abstract
Ubiquitin-40S ribosomal protein S27a (RPS27A), ubiquitin-like protein Fubi, and ribosomal protein (S30FAU) are ubiquitin-related proteins that are involved in the regulation of immune-related functions such as cell cycle, protein expression, and apoptosis. This study aimed to confirm the molecular characteristics, gene expression analysis, [...] Read more.
Ubiquitin-40S ribosomal protein S27a (RPS27A), ubiquitin-like protein Fubi, and ribosomal protein (S30FAU) are ubiquitin-related proteins that are involved in the regulation of immune-related functions such as cell cycle, protein expression, and apoptosis. This study aimed to confirm the molecular characteristics, gene expression analysis, and antibacterial activity of RPS27A and S30FAU identified from the starry flounder (15 starry flounders of 128.7 ± 18.2 g). An expression analysis using a normal fish showed that RPS27A was highly expressed in the head kidney, heart, and stomach. In contrast, S30FAU exhibited high expression in the stomach, heart, and head kidney. Upon simulating an artificial pathogen infection, RPS27A was highly expressed in the heart at 1 h and 3 days post-viral hemorrhagic septicemia (VHSV) infection, and had a high expression in the kidney, liver, and heart at 7 days post-Streptococcus parauberis (S. parauberis) infection. S30FAU was highly expressed in the spleen and gills at 1 day and 12 h post-VHSV infection, respectively, and exhibited a high expression in the kidney at 7 days post-S. parauberis infection. In an MIC analysis, RPS27A and S30FAU showed antimicrobial activity against all bacteria used in this study. In the biofilm assay, S30FAU was removed from S. parauberis in a concentration-dependent manner, and the cytotoxicity test showed no hemolytic activity in both RPS27A and S30FAU. Therefore, RPS27A and S30FAU of the starry flounder were confirmed to possess antimicrobial peptide abilities without limitations of cytotoxicity. This study provides valuable information on the antibacterial ability and molecular biology of the ubiquitin family isolated from the starry flounder. Full article
(This article belongs to the Special Issue The Applications of Genome Editing and Genomics in Aquaculture)
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Figure 1
<p>cDNA and deduced amino acid sequence of the <span class="html-italic">RPS27A</span> (<b>A</b>) and <span class="html-italic">S30FAU</span> (<b>B</b>). The box indicates UBQ and Ribosomal_S27 domain in (<b>A</b>); box indicate UBQ domain in (<b>B</b>).</p>
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<p>Multiple sequence alignment analysis of starry flounder <span class="html-italic">RPS27A</span> (<b>A</b>) and <span class="html-italic">S30FAU</span> (<b>B</b>) sequence with other species amino acid sequences. An asterisk denotes the presence of homology in all amino acid sequences, while a dot signifies the absence of homology in all or part of the sequence. NCBI accession numbers of dicentracin are as follows: house mouse (<span class="html-italic">Mus musculus</span>), NP_001029037.1; human (<span class="html-italic">Homo sapiens</span>), AAH53371.1; Norway rat (<span class="html-italic">Rattus norvegicus</span>), NP_001292372.1; Pacific halibut (<span class="html-italic">Hippoglossus stenolepis</span>), XP_035028116.1; mud hopper (<span class="html-italic">Boleophthalmus Pectinirostris</span>), XP_033835162.1; rainbow trout (<span class="html-italic">Oncorhynchus mykiss</span>), XP_021468602.1; chum salmon, XP_036510427.1; Senegalese sole (<span class="html-italic">Solea senegalensis</span>), BAF45917.1; tongue sole (<span class="html-italic">Cynoglossidae</span>), XP_008319624.1; Atlantic halibut (<span class="html-italic">Hippoglossus hippoglossus</span>), XP_034436125.1; house mouse, NP_001153711.1; human, NP_001988.1; olive flounder (<span class="html-italic">Paralichthys oilvaceus</span>) XP_019947565.1; rainbow trout, XP_021468126.1; chum salmon, XP_035649649.1; greater amberjack (<span class="html-italic">Seriola dumerili</span>), and XP_022626116.1; tongue sole, XP_008311372.1.</p>
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<p>Phylogenetic analysis of deduced <span class="html-italic">RPS27A</span> (<b>A</b>) and <span class="html-italic">S30FAU</span> (<b>B</b>) amino acid sequences in fish. The phylogenetic tree was constructed using the neighbor-joining method within MEGA 4 software. Bootstrap sampling was performed with 1000 replicates.</p>
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<p>Detection of <span class="html-italic">RPS27A</span> (<b>A</b>) and <span class="html-italic">S30FAU</span> (<b>B</b>) genes in different tissues of healthy starry flounder by real-time PCR. EF-1α was used for normalizing the real-time PCR results. Data are presented as the mean ± SD from three independent cDNA samples with three replicates from each sample.</p>
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<p>Gene expression of <span class="html-italic">RPS27A</span> (<b>A</b>,<b>B</b>) and <span class="html-italic">S30FAU</span> (<b>C</b>,<b>D</b>) in the kidney, spleen, gill, liver, brain, intestine, and heart after infection with VHSV and <span class="html-italic">S. parauberis</span>. Levels of <span class="html-italic">RPS27A</span> and <span class="html-italic">S30FAU</span> transcripts were quantified relative to that of EF-1α levels. Data are presented as the mean ± SD from three independent cDNA samples with three replicates for each sample. Asterisks represent significant differences compared to the control (PBS) group by ANOVA (* <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The hemolytic and cytotoxicity of RPS27A (<b>A</b>) and S30FAU (<b>B</b>) were analyzed using starry flounder red blood cells. The positive control was measured by adding 0.1% Triton X-100 solution. Values are expressed as the mean ± SD, and asterisks indicate a significant difference from the negative control (PBS buffer) (** <span class="html-italic">p</span> &lt; 0.01).</p>
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16 pages, 2053 KiB  
Article
An Insight into Goat Cheese: The Tales of Artisanal and Industrial Gidotyri Microbiota
by Aikaterini Nelli, Brigkita Venardou, Ioannis Skoufos, Chrysoula (Chrysa) Voidarou, Ilias Lagkouvardos and Athina Tzora
Microorganisms 2023, 11(1), 123; https://doi.org/10.3390/microorganisms11010123 - 3 Jan 2023
Cited by 7 | Viewed by 2967
Abstract
The purpose of this study was to determine for the first time the microbiota in artisanal-type and industrial-type Gidotyri cheeses and investigate the influence of the cheese-making practices on their composition using culture-independent techniques. The microbiota present in artisanal with commercial starters (Artisanal_CS, [...] Read more.
The purpose of this study was to determine for the first time the microbiota in artisanal-type and industrial-type Gidotyri cheeses and investigate the influence of the cheese-making practices on their composition using culture-independent techniques. The microbiota present in artisanal with commercial starters (Artisanal_CS, n = 15), artisanal with in-house starters (Artisanal_IHS, n = 10) and industrial (Ind., n = 9) Gidotyri cheese samples were analyzed using a targeted metagenomic approach (16S rRNA gene). The Ind. Gidotyri cheese microbiota were less complex, dominated by the Streptococcaceae family (91%) that was more abundant compared to the artisanal Gidotyri cheeses (p < 0.05). Artisanal cheeses were more diverse compositionally with specific bacterial species being prevalent to each subtype. Particularly, Loigolactobacillus coryniformis (OTU 175), Secundilactobacillus malefermentans (OTU 48), and Streptococcus parauberis (OTU 50) were more prevalent in Artisanal_IHS cheeses compared to Artisanal_CS (p ≤ 0.001) and Ind. (p < 0.01) Gidotyri cheeses. Carnobacterium maltaromaticum (OTU 23) and Enterobacter hormaechei subsp. hoffmannii (OTU 268) were more prevalent in Artisanal_CS cheeses compared to Artisanal_IHS cheeses (p < 0.05) and Ind. cheeses (p < 0.05). Hafnia alvei (OTU 13) and Acinetobacter colistiniresistens (OTU 111) tended to be more prevalent in Artisanal_CS compared to the other two cheese groups (p < 0.10). In conclusion, higher microbial diversity was observed in the artisanal-type Gidotyri cheeses, with possible bacterial markers specific to each subtype identified with potential application to traceability of the manufacturing processes’ authenticity and cheese quality. Full article
(This article belongs to the Special Issue Microbial Ecology of Dairy Products: From Diversity to Functions)
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<p>(<b>A</b>) A graphical representation of the sampling scheme. For each dairy, samples were collected from different cheese-making lots at the same ripening stage (3 months). The number of Gidotyri cheese samples from each dairy type is presented in the figure. (<b>B</b>) The flow chart shows the main production steps of Gidotyri cheese including the differences between industrial and artisanal manufacturing processes. CS: commercial starter cultures; IHS: in-house starter cultures; Ind.: Industrial.</p>
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<p>Dot plot of Effective Richness (on the OTU level) between Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheese samples. The red bold lines represent the median. SymbolGidotyri. ** indicates the statistical significance level for the pairwise Mann–Whitney U test after FDR correction (** <span class="html-italic">p</span>&lt; 0.01).</p>
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<p>Multidimensional scaling (MDS) plot based on the generalized Unifrac dissimilarity matrix of the microbial profiles from Artisanal_CS, Artisanal_IHS and Ind. Gidotyri cheese samples. SymbolGidotyri. ** indicates the statistical significance level for the pairwise PERMANOVA test after FDR correction (** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Differential abundance or prevalence of selected bacterial families belonging to Lactobacillales (<b>A</b>) and Enterobacterales (<b>B</b>) between the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheeses. The red bold lines represent the median, while symbolGidotyri* indicates statistically significant differences in abundance between cheese groups (Mann–Whitney U statistical test) with the number of stars representing the level of significance (&lt;0.05, * &lt;0.01, ** <span class="html-italic">p</span> &lt; 0.01). Symbol (+) indicates statistically significant differences in prevalence between cheese groups (Fisher’s statistical test) with the number of crosses representing the level of significance (+ &lt; 0.05, + + &lt; 0.01).</p>
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<p>Stacked barplots of the relative abundance of the 35 most abundant genera, on average, in the Artisanal_CS (Art. CS), Artisanal_IHS (Art. IHS) and Industrial (Ind.) Gidotyri cheeses.</p>
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14 pages, 3078 KiB  
Article
Robust Nanozyme-Enzyme Nanosheets-Based Lactate Biosensor for Diagnosing Bacterial Infection in Olive Flounder (Paralichthys olivaceus)
by Thenmozhi Rajarathinam, Seonghye Kim, Dinakaran Thirumalai, Sujin Lee, Minho Kwon, Hyun-jong Paik, Suhkmann Kim and Seung-Cheol Chang
Biosensors 2021, 11(11), 439; https://doi.org/10.3390/bios11110439 - 4 Nov 2021
Cited by 8 | Viewed by 2819
Abstract
Bacterial infections in fish farms increase mass mortality and rapid detection of infection can help prevent its widespread. Lactate is an important biomarker for early diagnosis of bacterial infections in farmed olive flounder (Paralichthys olivaceus). To determine the lactate levels, we [...] Read more.
Bacterial infections in fish farms increase mass mortality and rapid detection of infection can help prevent its widespread. Lactate is an important biomarker for early diagnosis of bacterial infections in farmed olive flounder (Paralichthys olivaceus). To determine the lactate levels, we designed a disposable amperometric biosensor based on Prussian blue nanozyme and lactate oxidase (LOX) entrapped in copolymer-reduced graphene oxide (P-rGO) on screen-printed carbon electrodes. Because LOX is inherently unstable, P-rGO nanosheets were utilized as a base matrix to immobilize it. After optimization in terms of enzyme loading, operating potential, and pH, the biosensor displayed maximum current responses within 5 s at the applied potential of –0.1 V vs. internal Ag/AgCl. The biosensor had Langmuir-type response in the lactate concentration range from 10 µM to 1.6 mM, a dynamic linear response range of 10–100 µM, a sensitivity of 15.9 µA mM−1 cm−2, and a lower detection limit of 3.1 µM (S/N = 3). Additionally, the biosensor featured high reproducibility, good selectivity, and stability till four weeks. Its practical applicability was tested in olive flounder infected by Streptococcus parauberis against the uninfected control. The results were satisfactory compared to those of a standard colorimetric assay kit, validating our method. Full article
(This article belongs to the Section Biosensor Materials)
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<p>(<b>a</b>) Concentrations of lactate as potential biomarker identified through NMR spectroscopy. (<b>b</b>) ROC analysis result for lactate.</p>
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<p>FE-SEM images of (<b>a</b>) bare SPCE, (<b>b</b>) PB/SPCE, (<b>c</b>) P-rGO/SPCE, (<b>d</b>) P-rGO/PB/SPCE, and (<b>e</b>) LOXENs/PB/SPCE.</p>
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<p>(<b>a</b>) CV results of the modified biosensors (bare SPCE, PB/SPCE, P-rGO/PB/SPCE, and LOXENs/PB/SPCE) in 5 mM K<sub>3</sub>[Fe(CN)<sub>6</sub>] prepared in 0.1 M KCl at 50 mV s<sup>−1</sup>. (<b>b</b>) The corresponding <span class="html-italic">i</span><sub>pa</sub> values plot.</p>
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<p>CA current changes of biosensors in 50 mM PBS (pH 7.4) after adding 100 µM lactate.</p>
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<p>(<b>a</b>) Current changes in response to 100 µM lactate for LOXENs/PB/SPCE fabricated using various loadings of LOX. (<b>b</b>) Current changes under various applied potentials for P-rGO/PB/SPCE and LOXENs/PB/SPCE in 50 mM PBS (pH 7.4). (<b>c</b>) Current changes to 100 µM lactate solution prepared in PBS (50 mM, various pH) for LOXENs/PB/SPCE.</p>
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<p>(<b>a</b>) Amperometric results of LOXENs/PB/SPCEs at −0.1 V in 50 mM PBS (pH 7.4) with successive additions of lactate. (<b>b</b>) Fitting the Langmuir model to the current responses (measured 10 s after lactate addition) to a maximum of 1.6 mM lactate. Inset: Calibration curve for lactate concentrations up to 100 µM. (<b>c</b>) Lineweaver–Burk model fitting to the catalytic region using the current responses to lactate additions up to 1.6 mM (n = 4).</p>
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<p>Chronoamperometric results of LOXENs/PB/SPCE in PBS (pH 7.4) at –0.1 V, following successive addition of 100 µM each of lactate, glutamate, myoinositol, glucose, pyruvate, acetoacetate, creatine, uric acid, and ascorbic acid.</p>
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<p>Design and mechanism of the proposed lactate biosensor.</p>
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13 pages, 3430 KiB  
Article
Encapsulation and Release Control of Fish Pathogen Utilizing Cross-Linked Alginate Networks and Clay Nanoparticles for Use with a Potential Oral Vaccination
by Su-Bin Lee, Ji-Yeon Kim, Kyusik Kim, Kyoung-Jin Ahn, Tae-il Kim and Jae-Min Oh
Appl. Sci. 2020, 10(8), 2679; https://doi.org/10.3390/app10082679 - 13 Apr 2020
Cited by 5 | Viewed by 3617
Abstract
Streptococcus parauberis is utilized as an oral vaccine by first inactivating the cells with formalin to produce formalin- killed cells (FKC) and then encapsulating them with polymer beads consisting of a cross-linked alginate-Ca2+ network. The encapsulation efficiency and media-dependent release are controlled [...] Read more.
Streptococcus parauberis is utilized as an oral vaccine by first inactivating the cells with formalin to produce formalin- killed cells (FKC) and then encapsulating them with polymer beads consisting of a cross-linked alginate-Ca2+ network. The encapsulation efficiency and media-dependent release are controlled by pre-treating the FKC with two types of clay nanoparticles: kaolinite (KA) and layered double hydroxide (LDH). The addition of LDH induced large agglomerates of FKC, and the KA enhanced the dispersion of FKC. The differences in the dispersibility of the FKC upon the use of clay nanoparticles was determined to strongly affect the encapsulation efficiency and release properties. The FKC + LDH mixture exhibited a slightly reduced encapsulation efficiency compared to the FKC alone. However, FKC + KA exhibited a dramatically improved encapsulation efficiency. In terms of the media-dependent release, the alginate beads were found to be fairly stable under gastric conditions and in deionized water with or without clay nanoparticles, preserving most of the encapsulated FKC. The intestine was the final target organ for FKC vaccination, and release at the site varied according to the use of clay nanoparticles. Both clays seemed to enhance the release of FKC, the cumulative amount being 3.6 times and 1.3 times larger for LDH and KA, respectively, than was shown with only FKC encapsulated beads. Full article
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<p>Hydrodynamic radius of formalin- killed cells (FKC) (solid line), clays (dashed line), and FKC + clay mixture (circle and line) with respect to (<b>a</b>) layered double hydroxide (LDH) and (<b>b</b>) kaolinite (KA).</p>
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<p>Scanning electron microscope images of FKC, clays, and FKC + clay mixtures. (<b>a</b>) FKC; (<b>b</b>) LDH; (<b>c</b>) FKC + LDH; (<b>d</b>) KA; and (<b>e</b>) FKC + KA.</p>
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<p>Scanning electron microscopy images of the inside of dried alginate bead encapsulating FKC. The dashed circles indicated the location of the FKCs on the alginate network. (<b>a</b>) half-crushed dried alginate bead; (<b>b</b>) assemblies of FKC; (<b>c</b>) magnified images of FKC.</p>
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<p>Fluorescence and confocal microscopy of wet alginate beads containing FITC-labelled FKC. The specimens were prepared by simply compressing wet alginate beads between slide glasses. EX: 492 nm, EM: 520 nm.</p>
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<p>Scanning electron microscopy images for the inside of the dried alginate bead encapsulating (<b>a</b>) FKC + LDH and (<b>b</b>) FKC + KA mixture. The dashed circles indicated the location of the FKC + LDH agglomerates. To trace the FKC inside the alginate bead, the cells were labelled with FITC. In order to check that this FITC-FKC could be utilized in the quantification of FKC, the relationship between the FKC concentration and fluorescence intensity was fitted into a linear equation.</p>
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<p>Linear regression result for FITC- labelled FKC concentration (number/mL) and fluorescence intensity at 520 nm.</p>
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