Bacterial Fingerprints Research Articles

An integrative multi-omic analysis defines gut microbiota, mycobiota, and metabolic fingerprints in ulcerative colitis patients.

Ulcerative colitis (UC) is a multifactorial chronic inflammatory bowel disease (IBD) that affects the large intestine with superficial mucosal inflammation. A dysbiotic gut microbial profile has been associated with UC. Our study aimed to characterize the UC gut bacterial, fungal, and metabolic fingerprints by omic approaches. The 16S rRNA- and ITS2-based metataxonomics and gas chromatography-mass spectrometry/solid phase microextraction (GC-MS/SPME) metabolomic analysis were performed on stool samples of 53 UC patients and 37 healthy subjects (CTRL). Univariate and multivariate approaches were applied to separated and integrated omic data, to define microbiota, mycobiota, and metabolic signatures in UC. The interaction between gut bacteria and fungi was investigated by network analysis. In the UC cohort, we reported the increase of Streptococcus, Bifidobacterium, Enterobacteriaceae, TM7-3, Granulicatella, Peptostreptococcus, Lactobacillus, Veillonella, Enterococcus, Peptoniphilus, Gemellaceae, and phenylethyl alcohol; and we also reported the decrease of Akkermansia; Ruminococcaceae; Ruminococcus; Gemmiger; Methanobrevibacter; Oscillospira; Coprococus; Christensenellaceae; Clavispora; Vishniacozyma; Quambalaria; hexadecane; cyclopentadecane; 5-hepten-2-ol, 6 methyl; 3-carene; caryophyllene; p-Cresol; 2-butenal; indole, 3-methyl-; 6-methyl-3,5-heptadiene-2-one; 5-octadecene; and 5-hepten-2-one, 6 methyl. The integration of the multi-omic data confirmed the presence of a distinctive bacterial, fungal, and metabolic fingerprint in UC gut microbiota. Moreover, the network analysis highlighted bacterial and fungal synergistic and/or divergent interkingdom interactions. In this study, we identified intestinal bacterial, fungal, and metabolic UC-associated biomarkers. Furthermore, evidence on the relationships between bacterial and fungal ecosystems provides a comprehensive perspective on intestinal dysbiosis and ecological interactions between microorganisms in the framework of UC.

Application of Biolog Ecoplate™ Technique for Assessing the Effects of Macrophyte Harvesting on Aquatic Bacterial Communities

Macrophyte overgrowth in freshwater ecosystems is a worldwide problem, and a common management practice for these ecosystems is to remove the aquatic vegetation. In the study, the short-term effects of macrophyte harvesting in a mountain lake (Trevnoto Lake, Bulgaria) on both bacterial metabolic activity and fingerprints were assessed using Biolog Ecoplate™ assay. Bacterial responses to human activity were manifested by: 1) increased bacterial metabolic activity by 15%, and 2) shifts in bacterial metabolic fingerprints. The most affected carbon sources were those with low availability for aquatic bacteria – 85% of them were influenced and the rates of their utilizations changed from a decrease of 96% to an increase of 681%. In general, a clear trend was formed that the greater the bioavailability of the carbon sources, the less susceptible is their utilization to the environmental change. This preliminary study indicates an immediate impact of macrophyte harvesting on lake bacteria. In this aspect, Biolog Ecoplate™ assay could be useful in lake monitoring programmes in order to develop better sustainable management practices for restoration.

Real-time surveillance of zoonotic and pig pathogens using surface-enhanced Raman scattering system

The shift towards large-scale intensive pig farming methods has led to an increase in cases of complex, mixed infections, and secondary infections. Early diagnosis and disease prevention have become crucial for effective pig farm management. However, clinical diagnosis may be complicated by antibiotic treatment and atypical disease symptoms. To ensure accurate pathology diagnosis, it is essential to integrate robust laboratory diagnostics with traditional methods. Surface-enhanced Raman scattering (SERS) spectroscopy has emerged as a potentially powerful technique for whole-organism fingerprinting, enabling rapid identification of bacteria. Biosensors utilizing SERS offer promising capabilities for sensitive and quick detection of bacterial pathogens, thus reducing diagnosis time. In this study, we aimed to characterize and evaluate a SERS-based diagnostic system for detecting and identifying bacteria in specific pathogen free (SPF) mice, focusing on two bacterial zoonoses and swine bacteria present in pooled swine sera, feces, and meat. We compared the spectra of bacteria recovered from the specimens to those of pure cultured bacteria and conducted principal component analysis to determine the bacterial molecular fingerprint. Our results demonstrated successful detection, identification, and classification of these bacteria in mice specimens (sera and feces) and swine specimens (sera, feces, and meat) using SERS. SERS provided reproducible molecular spectroscopic signatures suitable for analytical applications. This approach presents a new and potent tool for real-time surveillance of animal bacterial pathogens in clinical settings.

Enzymatic Activity Profiling Using an Ultrasensitive Array of Chemiluminescent Probes for Bacterial Classification and Characterization.

Identification and characterization of bacterial species in clinical and industrial settings necessitate the use of diverse, labor-intensive, and time-consuming protocols as well as the utilization of expensive and high-maintenance equipment. Furthermore, while cutting-edge identification technologies such as mass spectrometry and PCR are highly effective in identifying bacterial pathogens, they fall short in providing additional information for identifying bacteria not present in the databases upon which these methods rely. In response to these challenges, we present a robust and general approach to bacterial identification based on their unique enzymatic activity profiles. This method delivers results within 90 min, utilizing an array of highly sensitive and enzyme-selective chemiluminescent probes. Leveraging our recently developed technology of chemiluminescent luminophores, which emit light under physiological conditions, we have crafted an array of probes designed to rapidly detect various bacterial enzymatic activities. The array includes probes for detecting resistance to the important and large class of β-lactam antibiotics. The analysis of chemiluminescent fingerprints from a diverse range of prominent bacterial pathogens unveiled distinct enzymatic activity profiles for each strain. The reported universally applicable identification procedure offers a highly sensitive and expeditious means to delineate bacterial enzymatic activity fingerprints. This opens new avenues for characterizing and identifying pathogens in research, clinical, and industrial applications.

Microbial water quality investigation through flow cytometry fingerprinting: from source to tap

Abstract Ensuring the quality of treated drinking water is crucial for preventing potential health impacts, regulatory fines, and reputation damage. Traditional culture-based microbiological methods often fail to capture the heterogeneity of the bacterial communities in drinking water. This study employed daily interstage monitoring and flow cytometry (FCM) analysis over a period of one year to investigate the dynamics of water treatment processes and service reservoirs. The objective of this study was to test the utility of FCM fingerprints for aiding in microbial event detection. We found that the chlorine concentration contact time was pivotal for microbial log reduction across the treatment works. FCM fingerprints exhibited significant deviations during operational events, such as process interruptions, but did not correlate with the presence of bacterial indicator organisms in the distributed and tap water. Furthermore, the diversity of bacterial fingerprints, quantified by the Bray–Curtis dissimilarity index, served as an indicator for identifying potentially poor microbial water quality. In chlorinated waters with low cell counts, the background signal shows potential as a metric to differentiate between different water sources, thereby offering the possibility to characterize breakthrough events in these circumstances that challenge most other microbial analytical methods. Interestingly, groundwater from simpler treatment works showed a higher occurrence of bacterial indicators, whereas surface water works had a lower incidence. These findings underpin the importance of appropriate disinfection even for “low-risk” source waters and the added value that the statistical interpretation of FCM data can offer objective decision making.

Fungi and bacteria in the beds of rural and urban infants correlate with later risk of atopic diseases.

Rural children have a lower risk of asthma and atopic diseases than urban children. However, whether indoor microbiota in non-farming rural homes provides protection is unclear. Here, we examine if microbes in the beds of rural and urban infants are associated with later development of atopic diseases. We studied fungi and bacteria in the beds of 6-month-old infants (n = 514) in association with the risk of asthma, allergic rhinitis, eczema and aeroallergen sensitization at 6 years of age in the prospective COPSAC2010 cohort. Both fungal and bacterial diversity were lower in the beds of children, who later developed allergic rhinitis (-0.22 [-0.43,-0.01], padj = .04 and -.24 [-0.42,-0.05], padj = .01 respectively) and lower bacterial richness was discovered in beds of children later developing asthma (-41.34 [-76.95,-5.73], padj = .02) or allergic rhinitis (-45.65 [-81.19,-10.10], padj = .01). Interestingly, higher fungal diversity and richness were discovered in the beds of children developing eczema (0.23 [0.02,0.43], padj = .03 and 29.21 [1.59,56.83], padj = .04 respectively). We defined a limited set of fungal and bacterial genera that predicted rural/urban environment. Some rural-associated bacterial genera such as Romboutsia and Bacillus and fungal genera Spegazzinia and Physcia were also associated with reduced risk of diseases, including eczema. These fungal and bacterial fingerprints predicting the living environment were associated with asthma and allergic rhinitis, but not eczema, with rural compositions being protective. The bed dust bacteria mediated 27% of the protective association of a rural living environment for allergic rhinitis (p = .04). Bed dust microbes can be differentially associated with airway- and skin-related diseases. The differing bed dust microbiota between rural and urban infants may influence their later risk of asthma and allergic rhinitis.

Bacterial Diversity in Heavy Metal Poluted Soil Explored via 16S rRNA Gene Molecular-Genetic Analysis

Bacterial diversity in a xenobiotic polluted soil sample called KCM B was investigated using the 16S rRNA gene approach. The sample was collected from the vicinity of a Pb-Zn (KCM) smelter and pesticides manufacturing plant AGRIA both situated in short distance to each other near the town of Plovdiv, South Bulgaria. MS-ICP analysis showed the sample was moderately contaminated. Only Pb exceeded the EU Maximum Permission Levels (MPL). One clone library was constructed consisting of 150 clones. Our results demonstrated that in the investigated soil bacterial community was dominated by representatives of phylum Proteobacteria (α (28), β (2), γ (40) and δ (2) or in total 72%. Among them the most abundant were γ -Proteobacteria - 40%. Phyla Actinobacteria, Holophaga/Acidobacteria (AHA) and members of AD1 division were detected in an equal amount of 7% each. Bacteria belonging to phyla Cytophaga/Flavobacterium/Bacteroides (CFB) represented 5% of the bacterial community. 2% of the studied clones were affiliated to novel bacteria. In the clone library were detected many unique bacterial fingerprints respectively 16S rDNA sequences. Most of the identified bacterial groups were closely related to bacteria inhabiting other extreme- or xenobiotics polluted environments as uranium mill tailings, metal rich sediments, mine drainages, hydrocarbon contaminated environments, rocks at 300 m under the Ocean floor, deserts and waste water treatment facilities. Great number of recovered sequences in the sample were affiliated to not-yet-cultured bacteria with unknown physiology, morphology or metabolism. Once successfully cultivated these bacteria might be promising for biotransformation of heavy metals and biotechnological application.

Gut microbiota fingerprinting as a potential tool for tracing the geographical origin of farmed mussels (Mytilus galloprovincialis).

Identifying the provenance of seafood is critical to combat commercial fraud, enforce food safety regulations and ensure consumers' confidence. Hence, the current study aimed to determine if the bacterial composition present in the digestive gland and stomach of M. galloprovincialis mussels could be used as traceability approach to discriminate their geographic origin. The microbiota of 160 mussels collected seasonally in 2019 from five different mussel farms located in three regions in Spain (Galicia, Basque Country and Catalonia) was characterized using 16S rRNA targeted amplicon sequencing. Results showed that the bacterial community composition/fingerprint was significantly different between harvesting locations and seasons, with the effect prompted by the origin exceeding the seasonal variability. To further evaluate the stability and potential of this traceability approach, the bacterial fingerprint of 20 new individuals collected from the Basque Country in autumn 2020 were compared to the profiles obtained in 2019. Results showed that mussels collected from the Basque Country in two consecutive years cluster together, even matching the season of harvesting. The findings of this preliminary study support that this methodological approach has the potential to trace the geographical origin of unprocessed mussels and could have potential uses in seafood traceability and food safety.

Advanced biomass formation potential of pipe materials for drinking water distribution systems: A semi-automated biomass formation potential

Pipe materials used in drinking water distribution systems should be subjected to biostable suitability tests before deployment. The biofilm formation potential of pipes made from polyvinyl chloride (PVC) and ductile iron (DI) coated with different layers, namely, cement and epoxy, were investigated. The results showed a significantly higher biomass formation potential for cement-coated DI than other materials, while the PVC materials manufactured by the same company for different purposes were not significantly different in this regard. Furthermore, the results of biomass formation potential were compared with other national standards and showed that the selected materials, including epoxy- and cement-coated DI, and two out of five PVC materials were unsuitable for use in water distribution systems. In this study, stabilizers used for PVC pipes were also prepared in the form of coupons and tested to observe their biomass formation potential. The obtained results provide a basis for selecting stabilizers in drinking water pipe production to ensure biostability of the materials. Moreover, an advanced semi-automated biomass formation test was conducted for the first time. The changes in biomass formation of the selected materials were monitored in real time using an automated online flow cytometry system that revealed the bacterial growth behavior and fingerprint changes during the incubation period.

Identification of Antibiotic Resistance in ESKAPE Pathogens through Plasmonic Nanosensors and Machine Learning.

Antibiotic-resistant ESKAPE pathogens cause nosocomial infections that lead to huge morbidity and mortality worldwide. Rapid identification of antibiotic resistance is vital for the prevention and control of nosocomial infections. However, current techniques like genotype identification and antibiotic susceptibility testing are generally time-consuming and require large-scale equipment. Herein, we develop a rapid, facile, and sensitive technique to determine the antibiotic resistance phenotype among ESKAPE pathogens through plasmonic nanosensors and machine learning. Key to this technique is the plasmonic sensor array that contains gold nanoparticles functionalized with peptides differing in hydrophobicity and surface charge. The plasmonic nanosensors can interact with pathogens to generate bacterial fingerprints that alter the surface plasmon resonance (SPR) spectra of nanoparticles. In combination with machine learning, it enables the identification of antibiotic resistance among 12 ESKAPE pathogens in less than 20 min with an overall accuracy of 89.74%. This machine-learning-based approach allows for the identification of antibiotic-resistant pathogens from patients and holds great promise as a clinical tool for biomedical diagnosis.

Molecular analysis of Staphylococcus aureus isolated from clinical samples and natural flora.

A total of 100 samples collected from the wound, abscess skin, and normal human flora were investigated for S. aureus identification. Overall, in 40 samples, S. aureus isolates were present, out of which most strains were isolated from normal human flora (50.0%), followed by wound (37.5%) and burn (12.5%) samples. Moreover, S. aureus isolates from all samples could produce extracellular enzymes (catalase, coagulase, urease, and hemolysin-ß) as virulence factors except for some isolates from normal flora samples (unable to produce coagulase enzymes). Therefore, genes encoding the enzymes coagulase and hemolysin were evaluated in 20 S. aureus isolates by PCR-specialized primers targeting co-specific genes. The PCR analysis revealed that clinical isolates included both genes. Contrarily, 6 isolates of the normal flora lacked the coa gene, revealing bacterial fingerprints that can be used to distinguish between isolated bacteria and human beings.

Analysis of microbiome diversity in coprolites from Caral, Peru.

We analyzed human coprolites from the Sacred City of Caral, the oldest civilization in America (3000- and 1800-years BC). Our objective was to know the microbial diversity of the Caral Civilization through the use of a mobile ancient laboratory. DNA extraction conducted in a mobile laboratory placed near the collection site to reduce exposure of samples to contaminants and favor a rapid molecular processing. Using 16S rRNA and ITS 1 amplicon sequencing, we have elaborated the first list of the microbiomes of Caral, based on the bacterial and fungal community fingerprints detected in the coprolites recovered in six sectors of that ancient urban center. Among the most abundant sequences were those associated with Firmicutes for bacteria, Ascomycota and Basidiomycota for fungi. Bacillus was the most abundant bacterial genera in all samples analyzed, compromising up to 24.81% of the total bacterial abundance; while Aspergillus (11.43%) was the most abundant genera among fungal communities.

Stress Dependent Biofilm Formation and Bioactive Melanin Pigment Production by a Thermophilic Bacillus Species from Chilean Hot Spring.

Thermophilic bacteria able to survive extreme temperature stress are of great biotechnological interest due to their extracellular production of bioactive molecules as a part of a survival strategy, or by intracellular modifications. In the present study, thermophilic Bacillus haynesii CamB6, isolated from a Chilean hot spring, was studied for the formation of different stress response molecules. The polymeric pigment produced by the bacterial strain was characterized by different physicochemical techniques. On exposure to ranges of temperature (50–60 °C), pH (5.0–7.0), and sources of nitrogen and carbon (1–5 g·L−1), the bacteria responded with a biofilm network formation in a hydrophobic polystyrene surface. Biofilm formation under fed-batch conditions was also statistically validated. The bacteria showed a planktonic pellicle network formation in the presence of induced hypoxia and salinity stress (19.45 g·L−1) under static conditions. Salinity stress also resulted in the intracellular response of brown pigment production. The pigment was structurally and functionally characterized by UV-Vis absorbance and the presence of different characteristic peaks via FTIR analysis (bacterial pyomelanin fingerprints) were assessed. A high thermal stability and TGA profile indicated the brown pigment was a probable pyomelanin candidate. Micropyrolysis (Py-GC/MS) showed that isoprene, pyrrole, benzene, pyridine, and their derivatives were the major components detected. In addition, acetic acid, indole, phenol, and its derivatives were observed. The absence of sulfocompounds in the pyrolyzed products agreed with those reported in the literature for pyomelanin. The pigment surface morphology was analyzed via SEM, and the elemental composition via EDS also demonstrated the similarity of the brown pigment to that of the melanin family. The pyomelanin pigment was observed to be bioactive with promising antioxidant capacity (H2O2, Fe2+) compared to the standard antioxidant molecules. In conclusion, B. haynesii CamB6 demonstrated the formation of several biomolecules as a stress response mechanism that is bioactive, showing its probable biotechnological applications in future.

MALDI-TOF MS Based Bacterial Antibiotics Resistance Finger Print for Diabetic Pedopathy.

Diabetes mellitus has become a major global health issue. Currently, the use of antibiotics remains the best foundational strategy in the control of diabetic foot infections. However, the lack of accurate identification of pathogens and the empirical use of antibiotics at early stages of infection represents a non-targeted treatment approach with a poor curative effect that may increase the of bacterial drug resistance. Therefore, the timely identification of drug resistant bacteria is the key to increasing the efficacy of treatments for diabetic foot infections. The traditional identification method is based on bacterial morphology, cell physiology, and biochemistry. Despite the simplicity and low costs associated with this method, it is time-consuming and has limited clinical value, which delays early diagnosis and treatment. In the recent years, MALDI-TOF MS has emerged as a promising new technology in the field of clinical microbial identification. In this study, we developed a strategy for the identification of drug resistance in the diagnosis of diabetic foot infections using a combination of macro-proteomics and MALDI MS analysis. The macro-proteomics result was utilized to determine the differential proteins in the resistance group and the corresponding peptide fragments were used as the finger print in a MALDI MS analysis. This strategy was successfully used in the research of drug resistance in patients with diabetic foot infections and achieved several biomarkers that could be used as a finger print for 4 different drugs, including ceftazidime, piperacillin, levofloxacin, and tetracycline. This method can quickly confirm the drug resistance of clinical diabetic foot infections, which can help aid in the early treatment of patients.

Mass Spectrometric Fingerprints of Bacteria and Archaea for Life Detection on Icy Moons.

The icy moons of the outer Solar System display evidence of subsurface liquid water and, therefore, potential habitability for life. Flybys of Saturn's moon Enceladus by the Cassini spacecraft have provided measurements of material from plumes that suggest hydrothermal activity and the presence of organic matter. Jupiter's moon Europa may have similar plumes and is the target for the forthcoming Europa Clipper mission that carries a high mass resolution and high sensitivity mass spectrometer, called the MAss Spectrometer for Planetary EXploration (MASPEX), with the capability for providing detailed characterization of any organic materials encountered. We have performed a series of experiments using pyrolysis-gas chromatography-mass spectrometry to characterize the mass spectrometric fingerprints of microbial life. A range of extremophile Archaea and Bacteria have been analyzed and the laboratory data converted to MASPEX-type signals. Molecular characteristics of protein, carbohydrate, and lipid structures were detected, and the characteristic fragmentation patterns corresponding to these different biological structures were identified. Protein pyrolysis fragments included phenols, nitrogen heterocycles, and cyclic dipeptides. Oxygen heterocycles, such as furans, were detected from carbohydrates. Our data reveal how mass spectrometry on Europa Clipper can aid in the identification of the presence of life, by looking for characteristic bacterial fingerprints that are similar to those from simple Earthly organisms.

Fast label-free identification of bacteria by synchronous fluorescence of amino acids.

Fast identification of pathogenic bacteria is an essential need for patient's diagnostic in hospitals and environmental monitoring of water and air quality. Bacterial cells consist of a very high amount of biological molecules whose content changes in response to different environmental conditions. The similarity between the molecular compositions of different bacterial cells limits the possibility to find unique markers to enable differentiation among species. Although many biological molecules in the cells absorb at the UV-Vis region, only a few of them can be detected in whole cells by their intrinsic fluorescence. Among these molecules are the amino acids phenylalanine, tyrosine, and tryptophan. In this work, we develop a rapid method for bacterial identification by synchronous fluorescence. We show that we can quantify the concentration for the 3 amino acids without any significant interference from other fluorophores in the cells and that we can differentiate among 6 pathogenic bacterial species by using the concentrations of their amino acids as a bacterial fingerprint. Fluorescent amino acids exist in all living cells. Therefore, this method has the potential to be applicative for the rapid identification of cells from all kinds of organisms.

Colonization by the Red Imported Fire Ant, Solenopsis invicta, Modifies Soil Bacterial Communities.

The long-standing association between insects and microorganisms has been especially crucial to the evolutionary and ecological success of social insect groups. Notably, research on the interaction of the two social forms (monogyne and polygyne) of the red imported fire ant (RIFA), Solenopsis invicta Buren, with microbes in its soil habitat is presently limited. In this study, we characterized bacterial microbiomes associated with RIFA nest soils and native (RIFA-negative) soils to better understand the effects of colonization of RIFA on soil microbial communities. Bacterial community fingerprints of 16S rRNA amplicons using denaturing gradient gel electrophoresis revealed significant differences in the structure of the bacterial communities between RIFA-positive and RIFA-negative soils at 0 and 10 cm depths. Illumina sequencing of 16S rRNA amplicons provided fine-scale analysis to test for effects of RIFA colonization, RIFA social form, and soil depth on the composition of the bacterial microbiomes of the soil and RIFA workers. Our results showed the bacterial community structure of RIFA-colonized soils to be significantly different from native soil communities and to evidence elevated abundances of several taxa, including Actinobacteria. Colony social form was not found to be a significant factor in nest or RIFA worker microbiome compositions. RIFA workers and nest soils were determined to have markedly different bacterial communities, with RIFA worker microbiomes being characterized by high abundances of a Bartonella-like endosymbiont and Entomoplasmataceae. Cloning and sequencing of the 16S rRNA gene revealed the Bartonella sp. to be a novel bacterium.

Colorectal Cancer Stage-Specific Fecal Bacterial Community Fingerprinting of the Taiwanese Population and Underpinning of Potential Taxonomic Biomarkers.

Despite advances in the characterization of colorectal cancer (CRC), it still faces a poor prognosis. There is growing evidence that gut microbiota and their metabolites potentially contribute to the development of CRC. Thus, microbial dysbiosis and their metabolites associated with CRC, based on stool samples, may be used to advantage to provide an excellent opportunity to find possible biomarkers for the screening, early detection, prevention, and treatment of CRC. Using 16S rRNA amplicon sequencing coupled with statistical analysis, this study analyzed the cause–effect shift of the microbial taxa and their metabolites that was associated with the fecal gut microbiota of 17 healthy controls, 21 polyps patients, and 21 cancer patients. The microbial taxonomic shift analysis revealed striking differences among the healthy control, polyps and cancer groups. At the phylum level, Synergistetes was reduced significantly in the polyps group compared to the healthy control and cancer group. Additionally, at the genus level and in association with the cancer group, a total of 12 genera were highly enriched in abundance. In contrast, only Oscillosprira was significantly higher in abundance in the healthy control group. Comparisons of the polyps and cancer groups showed a total of 18 significantly enriched genera. Among them, 78% of the genera associated with the cancer group were in higher abundance, whereas the remaining genera showed a higher abundance in the polyps group. Additionally, the comparison of healthy control and polyp groups showed six significantly abundant genera. More than 66% of these genera showed a reduced abundance in the polyps group than in healthy controls, whereas the remaining genera were highly abundant in the polyps group. Based on tumor presence and absence, the abundance of Olsenella and Lactobacillus at the genus level was significantly reduced in the patient group compared to healthy controls. The significant microbial function prediction revealed an increase in the abundance of metabolites in the polyps and cancer groups compared to healthy controls. A correlation analysis revealed a higher contribution of Dorea in the predicted functions. This study showed dysbiosis of gut microbiota at the taxonomic level and their metabolic functions among healthy subjects and in two stages of colorectal cancer, including adenoma and adenocarcinoma, which might serve as potential biomarkers for the early diagnosis and treatment of CRC.

Coral larval settlement preferences linked to crustose coralline algae with distinct chemical and microbial signatures

The resilience of coral reefs is dependent on the ability of corals to settle after disturbances. While crustose coralline algae (CCA) are considered important substrates for coral settlement, it remains unclear whether coral larvae respond to CCA metabolites and microbial cues when selecting sites for attachment and metamorphosis. This study tested the settlement preferences of an abundant coral species (Acropora cytherea) against six different CCA species from three habitats (exposed, subcryptic and cryptic), and compared these preferences with the metabolome and microbiome characterizing the CCA. While all CCA species induced settlement, only one species (Titanoderma prototypum) significantly promoted settlement on the CCA surface, rather than on nearby dead coral or plastic surfaces. This species had a very distinct bacterial community and metabolomic fingerprint. Furthermore, coral settlement rates and the CCA microbiome and metabolome were specific to the CCA preferred habitat, suggesting that microbes and/or chemicals serve as environmental indicators for coral larvae. Several amplicon sequence variants and two lipid classes—glycoglycerolipids and betaine lipids—present in T. prototypum were identified as potential omic cues influencing coral settlement. These results support that the distinct microbiome and metabolome of T. prototypum may promote the settlement and attachment of coral larvae.

ISOLASI DAN KARAKTERISASI KEMAMPUAN BAKTERI ENDOFIT SORGUM MANIS FS501 SEBAGAI PENDUKUNG PERTUMBUHAN TANAMAN

This study aims to isolate endophytic bacteria of sweet sorghum plants and characterize their ability as plant growth promoting. The characters tested in this study were the ability of endophytic bacteria in N fixation, phosphate dissolving, and IAA production to be developed as biological fertilizer agents. Twenty-four isolates were isolated from the roots, stems and shoots of sweet sorghum. The results of bacterial DNA fingerprint screening showed that 11 groups of endophytic bacteria had different fingerprints. Isolates capable of N fixation were grown on LGI media and showed a change in the color of the medium. The nifH gene detection is also carried out to determine endophytic diazotrophic bacteria. Isolate bacteria that can dissolve inorganic phosphate were tested using Pikovskaya media. Testing the ability of isolates to produce IAA was carried out by adding Salkowski's reagent to the bacterial culture and measured quantitatively with a λ 530 nm spectrophotometer. The results showed that two endophytic bacterial isolates proved to be diazotrophic and three isolates were able to dissolve phosphate, while one isolate was able to produce IAA. PA2 isolate showed ability in all the characters tested, namely N fixation, phosphate solvent and IAA producer.