Resistome profiling reveals transmission dynamics of antimicrobial resistance genes from poultry litter to soil and plant.

Poultry farming is a major livelihood in South and Southeast Asian economies where it is undergoing rapid intensification to meet the growing human demand for dietary protein. Intensification of poultry production systems is commonly supported by increased antimicrobial drug use, risking greater selection and dissemination of antimicrobial resistance genes (ARGs). Transmission of ARGs through food chains is an emerging threat. Here, we investigated transmission of ARGs from chicken (broiler and layer) litter to soil and Sorghum bicolor (L.) Moench plants based on field and pot experiments. The results demonstrate ARGs transmission from poultry litter to plant systems under field as well as experimental pot conditions. The most common ARGs could be tracked for transmission from litter to soil to plants were identified as detected were cmx, ErmX, ErmF, lnuB, TEM-98 and TEM-99, while common microorganisms included Escherichia coli, Staphylococcus aureus, Enterococcus faecium, Pseudomonas aeruginosa, and Vibrio cholerae. Using next generation sequencing and digital PCR assays we detected ARGs transmitted from poultry litter in both the roots and stems of S. bicolor (L.) Moench plants. Poultry litter is frequently used as a fertiliser because of its high nitrogen content; our studies show that ARGs can transmit from litter to plants and illustrates the risks posed to the environment by antimicrobial treatment of poultry. This knowledge is useful for formulating intervention strategies that can reduce or prevent ARGs transmission from one value chain to another, improving understanding of impacts on human and environmental health. The research outcome will help in further understanding the transmission and risks posed by ARGs from poultry to environmental and human/animal health.

Solvent tolerant enzymes in extremophiles: Adaptations and applications.

Non-aqueous enzymology has always drawn attention due to the wide range of unique possibilities in biocatalysis. In general, the enzymes do not or insignificantly catalyze substrate in the presence of solvents. This is due to the interfering interactions of the solvents between enzyme and water molecules at the interface. Therefore, information about solvent-stable enzymes is scarce. Yet, solvent-stable enzymes prove quite valuable in the present day biotechnology. The enzymatic hydrolysis of the substrates in solvents synthesizes commercially valuable products, such as peptides, esters, and other transesterification products. Extremophiles, the most valuable yet not extensively explored candidates, can be an excellent source to investigate this avenue. Due to inherent structural attributes, many extremozymes can catalyze and maintain stability in organic solvents. In the present review, we aim to consolidate information about the solvent-stable enzymes from various extremophilic microorganisms. Further, it would be interesting to learn about the mechanism adapted by these microorganisms to sustain solvent stress. Various approaches to protein engineering are used to enhance catalytic flexibility and stability and broaden biocatalysis's prospects under non-aqueous conditions. It also describes strategies to achieve optimal immobilization with minimum inhibition of the catalysis. The proposed review would significantly aid our understanding of non-aqueous enzymology.

Genetic sequencing detected the SARS-CoV-2 delta variant in wastewater a month prior to the first COVID-19 case in Ahmedabad (India).

Wastewater-based genomic surveillance can identify a huge majority of variants shed by the infected individuals within a population, which goes beyond genomic surveillance based on clinical samples (i.e., symptomatic patients only). We analyzed four samples to detect key mutations in the SARS-CoV-2 genome and track circulating variants in Ahmedabad during the first wave (Sep/Nov 2020) and before the second wave (in Feb 2021) of COVID-19 in India. The analysis identified a total of 34 mutations in the spike protein across samples categorized into 23 types. The spike protein mutations were linked to the VOC-21APR-02; B.1.617.2 lineage (Delta variant) with 57% frequency in wastewater samples of Feb 2021. The key spike protein mutations were T19R, L452R, T478K, D614G, & P681R and deletions at 22029 (6 bp), 28248 (6 bp), & 28271 (1 bp). Interestingly, these mutations were not seen in the samples from Sep/Nov 2020 but did appear before the massive second wave of COVID-19 cases, which in India started in early April 2021. In fact, genetic traces of the Delta variant were found in samples of early Feb 2021, more than a month before the first clinically confirmed case of this in March 2021 in Ahmedabad, Gujarat. The present work describes the circulating of SARS-CoV-2 variants in Ahmedabad and confirms the consequential value of wastewater surveillance for the early detection of variants of concerns (VOCs). Such monitoring must be included as a major component of future health protection systems.

Comparative analysis of the catalysis and stability of the native, recombinant and metagenomic alkaline proteases in organic solvents.

The effect of organic solvents on alkaline proteases was assessed for native, recombinant, and metagenomically derived alkaline proteases. Their stability and the effects of physicochemical parameters were studied in the presence of hexane. The native enzyme was comparatively more resistant against the organic solvents than the recombinant counterparts. On the other hand, the metagenomically derived alkaline protease was minimally resistant against solvents. A similar trend was apparent for the stability of enzyme in organic solvents. The novelty of this study lies in the fact that the majority of the studies on the solvent tolerance have focused on the mesophilic enzymes, while those from the haloalkaliphilic bacteria have received little attention. The comparative tolerance of the native, recombinant, and metagenomic alkaline proteases against the organic solvent has practical importance. The phylogenetic relatedness among the various protease sequences will be described.

Genetic and Phenotypic Heterogeneity of the Nocardiopsis alba Strains of Seawater.

This study deals with the genetic and phenotypic heterogeneity of the marine Nocardiopsis alba strains isolated during pre-monsoon, monsoon and post-monsoon seasons. The isolates were characterized for their morphological and biochemical attributes, growth media preferences, antibiotic susceptibility and extracellular enzyme secretion. Nocardiopsis alba strains were assessed against 12 different antibiotics, and the responses were expressed in terms of the multiple antibiotic resistance (MAR) number. The majority of the strains produced multiple extracellular enzymes: proteases, amylases and lipases. Further, the strains were characterized on the basis of 16S rRNA gene sequencing and the majority were identified as Nocardiopsis alba along with few strains of Streptomyces lopnurensis, Nocardiopsis synnemataformans and Nocardiopsis dassonvillei. Neighbor-joining (NJ) phylogenetic tree suggested variation among the genetically similar Nocardiopsis alba species. The study establishes significant heterogeneity with respect to genetic and phenotypic characteristics of the strains of Nocardiopsis alba. Phylogenetic tree and phenogram-based comparison reflect the heterogeneity in terms of different clustering patterns of the strains. Further, the whole genome sequence data available in the literature also confirm the observed heterogeneity. Nocardiopsis alba strains displayed a relatively regressive pattern of dependence on the environmental factors based on the canonical correspondence analysis plot. The study represents cultivation, characterization, phylogenetic analysis and enzymatic potential of the Nocardiopsis alba species of seawater origin.

Kinetics of growth and co-production of amylase and protease in novel marine actinomycete, Streptomyces lopnurensis KaM5.

Amylases and proteases are among the industrially most important enzymes for food processing, animal feed, brewing, starch processing, detergents, healthcare, leather processing, and biofuel production. In this study, we investigated the growth kinetics and statistically optimized the co-production of amylase and protease in a phylogenetically novel haloalkaliphilic actinomycete, Streptomyces lopnurensis KaM5 of seawater. The Plackett-Berman design using Minitab 14.0 software was employed to assess the impact of the nutritional factors, temperature, pH, and incubation time. Further, starch, yeast extract, NaCl concentrations, and incubation time were optimized by Box-Behnken design at their three levels. The Pareto charts, contour, surface plots, and individual factorial analysis expressed the variability and levels for the optimal enzyme production. ANOVA analysis admitted the statistical fitness and significance level among the variables. A two-fold increase in enzyme production was achieved by cost-effective co-production media. The study was further extended to growth kinetics associated with enzyme production. Specific growth rate (µ), maximal cell mass (Xmax), volumetric product formation (Pmax), rate of product formation (Qp), and generation time (g) were computed and analyzed. These parameters significantly improved when compared with the pre-optimized conditions, and the production economics of the enzyme was industrially viable. The initial studies on the characteristics of the enzymes suggested its ability to function under the combination of alkaline pH and high salt concentrations. The co-production of enzymes from extremophiles can be a potentially viable option for large-scale production and applications.