The present study aimed to investigate the effects of the initial microbiota on microbial succession and metabolite transition during eggplant fermentation. Samples of traditional Japanese eggplant pickles, shibazuke, which were spontaneously fermented by plant-associated microbiota, were used for the analysis. Microbiota analysis indicated two successional patterns: early dominance of lactic acid bacteria superseded by aerobic bacteria and early dominance of lactic acid bacteria maintained to the end of the production process. Next, shibazuke production was modeled using filter-sterilized eggplant juice, fermenting the average composition of the initial shibazuke microbiota, which was artificially constructed from six major species identified during shibazuke production. In contrast to shibazuke production, all batches of eggplant juice fermentation showed almost identical microbial succession and complete dominance of Lactiplantibacillus plantarum in the final microbiota. These findings revealed the fate of initial microbiota under shibazuke production conditions: the early dominance of lactic acid bacteria that was maintained throughout, with L. plantarum ultimately predominating the microbiota. Furthermore, a comparison of the results between shibazuke production and eggplant juice fermentation suggested that L. plantarum is involved in the production of lactic acid, alanine, and glutamic acid during eggplant fermentation regardless of the final microbiota.
OBJECTIVE: The findings shown in this study provide insight into the microbial succession during spontaneous pickle fermentation and the role of Lactiplantibacillus plantarum in eggplant pickle production. Moreover, the novel method of using filter-sterilized vegetable juice with an artificial microbiota to emulate spontaneous fermentation can be applied to other spontaneously fermented products. This approach allows for the evaluation of the effect of specific initial microbiota in the absence of plant-associated bacteria from raw materials potentially promoting a greater understanding of microbial behavior in complex microbial ecosystems during vegetable fermentation.

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.

Background Dental caries is the most common bacterial disease of calcified tissues of teeth. Cariogenic biofilms formed on the tooth surface secrete organic acids and thus result in demineralization. Delving into the depth of biofilms is crucial to understand the pathogenic mechanisms and design improved therapeutic approaches. The aim of the study is to analyze the spatial and biochemical characteristics of cariogenic biofilms. Materials and methods Pulp tissue samples sourced from freshly extracted third molars were incubated with oral cariogenic bacteria namely Streptococcus mutans, Staphylococcus aureus, Escherichia coli, Entamoeba faecalis, and Candida albicans to form the biofilm. Spatial assessment of biofilms was done under FESEM (field emission scanning electron microscope, JSM-IT800, JEOL, Tokyo, Japan). FTIR (Fourier transform infrared spectroscopy, Alpha II, Bruker, Germany) spectra were assessed for chemical molecular interactions in 24- and 48-hour time periods.  Results Morphological assessment with FESEM revealed rapid growth and aggregation within a short time period. FTIR spectra to analyze chemical constituents of biofilm presented with varied peaks of water, amide A, amide I, water, lipids, and phospholipids. Conclusion Further validation with more advanced imaging for an extended time period is vital to derive better conclusive evidence.

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This research addresses the interactions between the unicellular slime mold Physarum polycephalum and a red yeast in a spatial ecosystem over week-long imaging experiments. An inverse relationship between the growth rates of both species is shown, where P. polycephalum has positive growth when the red yeast has a negative growth rate and vice versa. The data also captures successional and oscillatory dynamics between both species. An advanced image analysis methodology for semantic segmentation is used to quantify population density over time, for all components of the ecosystem. We suggest that P. polycephalum is capable of exhibiting a sustainable feeding strategy by depositing a nutritive slime trail, allowing yeast to serve as a periodic food source. This opens a new direction of P. polycephalum research, where the population dynamics of spatial ecosystems can be readily quantified and complex ecological dynamics can be studied.

Intestinal microbiota is established to be a crucial element in the control of human health, and keeping the symbiotic relationship between the human body and intestinal microbes will have paramount importance. A number of investigations illustrated that many chronic diseases are associated with intestinal micro-ecological disorders implying intestinal floras as an important component among the environmental factors, and perturbations in their composition are correlated with metabolic disorders, including obesity and diabetes mellitus (DM). Increased evidence suggests that alterations in the gut microbial ecosystem have been involved in part in the pathogenesis of both type 1 and type 2 DM. Short chain fatty acids (SCFAs), derived from microbiota, have been studied for their potential action in modulating CNS, gut barrier axis, and the immune system as a promising mechanism for the observed protective effects on diabetes pathogenesis. Besides, the role of bile acid (BA) stimulated receptors to have a significant role in liver metabolism, and pathophysiology of liver-based metabolic diseases has also been investigated. In the current review, we will try to summarize the correlation between intestinal microbiota and diabetes considering the existing current evidence revealing the role of gut microbiota in onset and disease progression.

The fruit Punica granatum L. has been used for years in traditional medicine owing to the presence of several phytobiotics with antimicrobial and immunomodulatory properties. This study investigated the effects of dietary supplementation with Punica granatum L. by-products (PGB) on performance, immunity, intestinal and excreta microflora, and odorous gas emissions from excreta of broiler chickens. Three experimental diets containing 0, 0.5 and 1.0% PGB were fed to 240 one-day-old broiler chicks until 35 days. Dietary PGB linearly reduced the average daily feed intake and feed conversion ratio of broilers. Supplementation with 1% PGB led to a linear increase in the relative weight of the spleen and bursa of Fabricius. The concentration of serum IgA and IgG increased linearly in response to dietary PGB. In the ileal digesta, the concentration of Saccharomyces cerevisiae increased linearly and quadratically in response to dietary PGB. Moreover, dietary PGB led to a linear decrease in Escherichia coli and Salmonella spp. alongside reducing the pH of the ileal digesta. In the cecal digesta, the concentration of Bacillus bacteria increased linearly in response to both levels of dietary PGB, while the concentrations of E. coli and Salmonella decreased when the diet was supplemented with 1% PGB, as did cecal pH. At 35 day, both levels of PGB increased the concentration of fecal Bacillus, whereas only 1% PGB increased the concentration of S. cerevisiae at 21 day. Increasing levels of PGB induce a linear reduction in fecal E. coli at 21 and 35 day, whereas Salmonella only at 21 day. Regarding the average of 48 h, dietary PGB effectively reduced the emissions of ammonia and methanethiol from broiler excreta. In conclusion, the results suggest that, dietary PGB improved immunity and the intestinal microbial ecosystem of broilers along with reduced odorous gas emissions from excreta.

Simplified microbial communities, or \"benchtop microbiomes,\" enable us to manage the profound complexity of microbial ecosystems. Widespread activities aiming to design and control communities result in novel resources for testing ecological theories and also for realizing new biotechnologies. There is much to be gained by reconciling engineering design principles with ecological processes that shape microbiomes in nature. In this short Perspective, I will address how natural processes such as environmental filtering, the establishment of priority effects, and community \"blending\" (coalescence) can be harnessed for engineering microbiomes from complex starting materials. I will also discuss how future microbiome architects may draw inspiration from modern practices in synthetic biology. This topic is based on an important overarching research goal, which is to understand how natural forces shape microbial communities and interspecies interactions such that new engineering design principles can be extracted to promote human health or energy and environmental sustainability.

The herbivore rumen ecosystem constitutes an extremely efficient degradation machinery for the intricate chemical structure of fiber biomass, thus, enabling the hosting animal to digest its feed. The challenging task of deconstructing and metabolizing fiber is performed by microorganisms inhabiting the rumen. Since most of the ingested feed is comprised of plant fiber, these fiber-degrading microorganisms are of cardinal importance to the ecology of the rumen microbial community and to the hosting animal, and have a great impact on our environment and food sustainability. We summarize herein the enzymological fundamentals of fiber degradation, how the genes encoding these enzymes are spread across fiber-degrading microbes, and these microbes\' interactions with other members of the rumen microbial community and potential effect on community structure. An understanding of these concepts has applied value for agriculture and our environment, and will also contribute to a better understanding of microbial ecology and evolution in anaerobic ecosystems.

Methane emission from ruminants not only causes serious environmental problems, but also represents a significant source of energy loss to animals. The increasing demand for sustainable animal production is driving researchers to explore proper strategies to mitigate ruminal methanogenesis. Since hydrogen is the primary substrate of ruminal methanogenesis, hydrogen metabolism and its associated microbiome in the rumen may closely relate to low- and high-methane phenotypes. Using candidate microbes that can compete with methanogens and redirect hydrogen away from methanogenesis as ruminal methane mitigants are promising avenues for methane mitigation, which can both prevent the adverse effects deriving from chemical additives such as toxicity and resistance, and increase the retention of feed energy. This review describes the ruminal microbial ecosystem and its association with methane production, as well as the effects of interspecies hydrogen transfer on methanogenesis. It provides a scientific perspective on using bacteria that are involved in hydrogen utilization as ruminal modifiers to decrease methanogenesis. This information will be helpful in better understanding the key role of ruminal microbiomes and their relationship with methane production and, therefore, will form the basis of valuable and eco-friendly methane mitigation methods while improving animal productivity.