Non-sterile cultivation of oleaginous organisms.

Cultivating oleaginous organisms in non-sterile conditions can reduce the energy and cost of microbial oil production. Recent studies use strategies that enable non-sterile cultivation without affecting bioprocess productivity. This forum article discusses the trends, strategies, and prospects of non-sterile cultivation, as successful non-sterile cultivation could make microbial oil production economically viable.

Application of flow cytometry for rapid, high-throughput, multiparametric analysis of environmental microbiomes.

Quantification of the abundance and understanding of the dynamics of the microbial communities is essential to establish a basis for microbiome characterization. The conventional techniques used for the quantification of microbes are complicated and time-consuming. With scientific advancement, many techniques evolved and came into account. Among them, flow cytometry is a robust, high-throughput technique through which microbial dynamics, morphology, microbial distribution, physiological characteristics, and many more attributes can be studied in a high-throughput manner with comparatively less time and resources. Flow cytometry, when combined with other omics-based methods, offers a rapid and efficient platform to analyze and understand the composition of microbiome at the cellular level. The microbial diversity observed through flow cytometry will not be equivalent to that obtained by sequencing methods, but this integrated approach holds great potential for high throughput characterization of microbiomes. Flow cytometry is regarded as an established characterization tool in haematology, oncology, immunology, and medical microbiology research; however, its application in environmental microbiology is yet to be explored. This comprehensive review aims to delve into the diverse environmental applications of flow cytometry across various domains, including but not limited to bioremediation, landfills, anaerobic digestion, industrial bioprocesses, water quality regulation, and soil quality regulation. By conducting an in-depth analysis, this article seeks to shed light on the potential benefits and challenges associated with the utilization of flow cytometry in addressing environmental concerns.

Scientific characterization methods for better utilization of cattle dung and urine: a concise review.

Cattle are usually raised for food, manure, leather, therapeutic, and draught purposes. Biowastes from cattle, such as dung and urine, harbor a diverse group of crucial compounds, metabolites/chemicals, and microorganisms that may benefit humans for agriculture, nutrition, therapeutics, industrial, and other utility products. Several bioactive compounds have been identified in cattle dung and urine, which possess unique properties and may vary based on agro-climatic zones and feeding practices. Therefore, cattle dung and urine have great significance, and a balanced nutritional diet may be a key to improved quality of these products/by-products. This review primarily focuses on the scientific aspects of biochemical and microbial characterization of cattle biowastes. Various methods including genomics for analyzing cattle dung and gas chromatography-mass spectroscopy for cattle urine have been reviewed. The presented information might open doors for the further characterization of cattle resources for heterogeneous applications in the production of utility items and addressing research gaps. Methods for cattle's dung and urine characterization.

Effect of fungal pretreatment by Pycnoporus sanguineus and Trichoderma longibrachiatum on the anaerobic digestion of rice straw.

Rice straw is composed of complex lignocellulosic biomass, representing a major obstacle in its conversion to bioenergy. The objective of this study was to evaluate the usefulness of less explored fungal strains Trichoderma longibrachiatum (TL) and Pycnoporus sanguineus (PS) in improving hydrolysis and bioavailability of rice straw in anaerobic digestion (AD). The fungal treatment of rice straw for 10 days by PS and TL increased biogas production by 20.79% and 17.85% and reduced soluble chemical oxygen demand (sCOD) by 71.43% and 64.70%, respectively. The AD samples containing fungal-treated rice straw showed higher lignocellulolytic enzyme activities contributing to better process performance. The taxonomic profile of microbial communities in treated samples showed increased diversity that could sustain consistent system performance and exhibit enhanced resilience against pH fluctuations. Metagenomic analysis revealed 60.82% increase in Proteobacteria in PS and 11.58% increase in Bacteroidetes in TL-treated rice straw samples resulting in improved hydrolysis.

A review on pectinase properties, application in juice clarification, and membranes as immobilization support.

Pectic substances cause haziness and high viscosity of fruit juices. Pectinase enzymes are biological compounds that degrade pectic compounds. Nontoxicity and ecofriendly nature make pectinases excellent biocatalysts for juice clarification. However, the poor stability and nonreusability of pectinases trim down the effectiveness of the operation. The immobilization techniques have gained the attention of researchers as it augments the properties of the enzymes. Literature has reported the stability improvement of enzymes like lipase, laccase, hydrogen peroxidase, and cellulase upon immobilization on the membrane. However, only a few research articles divulge pectinase immobilization using a membrane. The catalysis-separation synergy of membrane-reactor has put indelible imprints in industrial applications. Immobilization of pectinase on the membrane can enhance its performance in juice processing. This review delineates the importance of physicochemical and kinematic properties of pectinases relating to the juice processing parameters. It also includes the influence of metal-ion cofactors on enzymes' activity. Considering the support and catalytic-separation facets of the membrane, the prediction of the membrane as support for pectinase immobilization has also been carried out.

Antibiotics in anaerobic digestion: Investigative studies on digester performance and microbial diversity.

The ever-increasing consumption of antibiotics in both humans and animals has increased their load in municipal and pharmaceutical industry waste and may cause serious damage to the environment. Impact of antibiotics on the performance of commercially used anaerobic digesters in terms of bioenergy output, antibiotics' removal and COD removal have been compared critically with a few studies indicating >90% removal of antibiotics. AnMBR performed the best in terms of antibiotic removal, COD removal and methane yield. Most of the antibiotics investigated have adverse effects on microbiome associated with different stages and methane generation pathways of AD which has been assessed using high throughput technologies like metatranscriptomics, metaproteomics and flow cytometry. Perspectives have been given for understanding the fate and elimination of antibiotics from AD. The challenge of optimization and process improvement needs to be addressed to increase efficiency of the anaerobic digesters.

Advances in the synthesis and application of self-assembling biomaterials.

The present study scrutinized some of the crucial advancements in the synthesis and functionalisation of self-assembling biomaterials for application in biomedicine. The basic concept of self-organization was discussed along with the mechanisms and methods involved in its implementation with biomaterials. Further, several recent applications of this technology in the biological and medical domain, and the avenues for future research and development were presented. This study brought to focus the vast potential of basic and applied research involved, especially in the context of hybrids and composites, as well as the difference in pace of new developments for different types of biomolecular materials. As nanobiotechnology matures, the tools and techniques available for developing and controlling self-assembled biomaterials as well as studying their interaction with biological tissue, will grow exponentially. Presently, self-assembly remains a potent tool for the synthesis of functional biomaterials.

Additional salt bridges improve the thermostability of 1,4-α-glucan branching enzyme.

The 1,4-α-glucan branching enzyme from Geobacillus thermoglucosidans STB02 (GtGBE, EC 2.4.1.18) does not possess the thermostability required by modified starch industry. To increase its thermostability, a rational design strategy was used to introduce additional salt bridges into GtGBE. The strategy involved in mutation of individual residues to form "local" two-residue salt bridges. Accordingly, five of local salt bridges (Q231R-D227, Q231K-D227, T339E-K335, T339D-K335, and I571D-R569 mutants) were separately introduced into GtGBE. The half-times of these mutants at 60 °C were 17% to 51% longer than that of wild-type. Subsequently, these two-residue salt bridges were extended to form salt bridge networks (Q231R/K-D227-D131H, T339D/E-K335-I291H, and I571D-R569-R617H mutants). Among these mutants, except I571D-R569-R617H, the half-times of Q231R/K-D227-D131H, T339D/E-K335-I291H mutants at 60 °C were 15%, 17%, 21% and 17% longer than those of the corresponding two-residue salt bridges, respectively. The results showed that design and introduction of salt bridges improves enzyme thermostability in GtGBE.

Bacterial 1,4-α-glucan branching enzymes: characteristics, preparation and commercial applications.

The 1,4-α-glucan branching enzymes (GBEs) are ubiquitously distributed in animals, microorganisms and plants. These enzymes modify the structure of both starch and glycogen; changing the frequency and position of branches by forming new α-1,6-glucosidic linkages. In organisms, controlling the number and distribution of branches is an irreplaceable process that maintains the physiological state of starch and glycogen in the cell. The process is also the foundation for the industrial applications of GBEs. So far, a number of GBEs have been identified in eukaryotes and prokaryotes as researchers searched for GBEs with optimal properties. Among them, bacterial GBEs have received particular attention due to the convenience of heterologous expression and industrial applications of GBEs from bacteria than GBEs from other sources. The advantages of bacterial GBEs in potential applications stimulated the investigations of bacterial GBEs in terms of their structure and properties. However, full exploitation of GBEs in commercial applications is still in its infancy because of the disadvantages of currently available enzymes and of limited imagination with respect to future possibilities. Thus, in this review, we present an overview of the bacterial GBEs including their structure, biochemical properties and commercial applications in order to depict the whole picture of bacterial GBEs.

Evolutionary Stability of Salt Bridges Hints Its Contribution to Stability of Proteins.

The contribution of newly designed salt bridges to protein stabilization remains controversial even today. In order to solve this problem, we investigated salt bridges from two aspects: spatial distribution and evolutionary characteristics of salt bridges. Firstly, we analyzed spatial distribution of salt bridges in proteins, elucidating the basic requirements of forming salt bridges. Then, from an evolutionary point of view, the evolutionary characteristics of salt bridges as well as their neighboring residues were investigated in our study. The results demonstrate that charged residues appear more frequently than other neutral residues at certain positions of sequence even under evolutionary pressure, which are able to form electrostatic interactions that could increase the evolutionary stability of corresponding amino acid regions, enhancing their importance to stability of proteins. As a corollary, we conjectured that the newly designed salt bridges with more contribution to proteins, not only, are qualified spatial distribution of salt bridges, but also, are needed to further increase the evolutionary stability of corresponding amino acid regions. Based on analysis, the 8 mutations were accordingly constructed in the 1,4-α-glucan branching enzyme (EC 2.4.1.18, GBE) from Geobacillus thermoglucosidans STB02, of which 7 mutations improved thermostability of GBE. The enhanced thermostability of 7 mutations might be a result of additional salt bridges on residue positions that at least one of amino acids positions is conservative, improving their contribution of stabilization to proteins.

Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes.

BACKGROUND: Flow cytometry, with its high throughput nature, combined with the ability to measure an increasing number of cell parameters at once can surpass the throughput of prevalent genomic and metagenomic approaches in the study of microbiomes. Novel computational approaches to analyze flow cytometry data will result in greater insights and actionability as compared to traditional tools used in the analysis of microbiomes. This paper is a demonstration of the fruitfulness of machine learning in analyzing microbial flow cytometry data generated in anaerobic microbiome perturbation experiments. RESULTS: Autoencoders were found to be powerful in detecting anomalies in flow cytometry data from nanoparticles and carbon sources perturbed anaerobic microbiomes but was marginal in predicting perturbations due to antibiotics. A comparison between different algorithms based on predictive capabilities suggested that gradient boosting (GB) and deep learning, i.e. feed forward artificial neural network with three hidden layers (DL) were marginally better under tested conditions at predicting overall community structure while distributed random forests (DRF) worked better for predicting the most important putative microbial group(s) in the anaerobic digesters viz. methanogens, and it can be optimized with better parameter tuning. Predictive classification patterns with DL (feed forward artificial neural network with three hidden layers) were found to be comparable to previously demonstrated multivariate analysis. The potential applications of this approach have been demonstrated for monitoring the syntrophic resilience of the anaerobic microbiomes perturbed by synthetic nanoparticles as well as antibiotics. CONCLUSION: Machine learning can benefit the microbial flow cytometry research community by providing rapid screening and characterization tools to discover patterns in the dynamic response of microbiomes to several stimuli.

Thermostabilization of a thermophilic 1,4-α-glucan branching enzyme through C-terminal truncation.

Thermophilic proteins are useful for the detailed investigation of thermostability because they function efficiently at high temperatures. Comparison of the amino acid sequences and three-dimensional structures of mesophilic and thermophilic 1,4-α-glucan branching enzymes (GBEs) shows that the amino acid sequence of the last 26 residues at the C-terminal end of the GBE from Geobacillus thermoglucosidans STB02 (GBEGt, GenBank accession no. KJ660983) are not conserved, and that their 3-dimensional structure is flexible. These residues appear to be modified based upon a balance between flexibility and rigidity that is related to thermostability. In this study, a truncated mutant of GBEGt made by removing the last 26 residues from its C-terminal end was found to have increased thermostability and solubility, compared with the wild-type enzyme. Additionally, truncation of a portion of the C-terminus resulted in a decrease in aqueous stability. The circular dichroism spectra of GBEGt and GBEGtΔC were also found to be different. These results suggest that deletion of flexible residues at the C-terminal end of GBEGt, which are located on the surface of the enzyme, enhances the thermostability of the enzyme without significantly compromising its enzymatic activity.

Potassium and sodium ions enhance the activity and thermostability of 1,4-α-glucan branching enzyme from Geobacillus thermoglucosidasius in the presence of glycerol.

Metal ions are essential for the performance of metal-dependent proteins and are known to be important for thermophilic proteins containing a large number of charged residues. The performance of thermophilic proteins may be influenced by metal ions through electrostatic interactions between the metal ions and charged residues. In this study, we investigated the effects of metal ions and glycerol on the activity and stability of the thermophilic 1,4-α-glucan branching enzyme (abbreviated GBE; EC 2.4.1.18) from G. thermoglucosidasius STB02. The results indicate that K+ or Na+ enhance the performance of GBE, and that the addition of glycerol further increases the thermostability of GBE. The effects of K+ or Na+ with glycerol on the structure of GBE were further investigated using intrinsic fluorescence spectra and far-UV circular dichroism spectra. The results show that more secondary structural elements are preserved by the addition of K+ or Na+ in the presence of glycerol. The improved maintenance of GBE structural elements after incubation may arise from electrostatic interactions introduced by the added salt, and glycerol provides a hydrophobic environment that strengthens these electrostatic contacts. This provides a useful perspective for understanding the strategy of thermophilic adaptation used by proteins with plenty of charged residues.

A novel high-throughput multi-parameter flow cytometry based method for monitoring and rapid characterization of microbiome dynamics in anaerobic systems.

A novel multidimensional flow cytometry based method has been demonstrated to monitor and rapidly characterize the dynamics of the complex anaerobic microbiome associated with perturbations in external environmental factors. While community fingerprinting provides an estimate of the meta genomic structure, flow cytometry provides a fingerprint of the community morphology including its autofluorescence spectrum in a high-throughput manner. Using anaerobic microbial consortia perturbed with the controlled addition of various carbon sources, it is possible to quantitatively discriminate between divergent microbiome analogous to community fingerprinting techniques using automated ribosomal intergenic spacer analysis (ARISA). The utility of flow cytometry based method has also been demonstrated in a fully functional industry scale anaerobic digester to distinguish between microbiome composition caused by varying hydraulic retention time (HRT). This approach exploits the rich multidimensional information from flow cytometry for rapid characterization of the dynamics of microbial communities.