Biosurfactants, synthesized by microorganisms, hold potential for various industrial and environmental applications due to their surface-active properties and biodegradability. Metabolic and genetic engineering strategies enhance biosurfactant production by modifying microbial pathways and genetics. Strategies include optimizing biosurfactant biosynthesis pathways, expanding substrate utilization, and improving stress responses. Genetic engineering allows customization of biosurfactant characteristics to meet industrial needs. Notable examples include engineering Pseudomonas aeruginosa for enhanced rhamnolipid production and creating synthetic biosurfactant pathways in non-native hosts like Escherichia coli. CRISPR-Cas9 technology offers precise tools for genetic manipulation, enabling targeted gene disruption and promoter optimization to enhance biosurfactant production efficiency. Synthetic promoters enable precise control over biosurfactant gene expression, contributing to pathway optimization across diverse microbial hosts. The future of biosurfactant research includes sustainable bio-processing, customized biosurfactant engineering, and integration of artificial intelligence and systems biology. Advances in genetic and metabolic engineering will enable tailor-made biosurfactants for diverse applications, with potential for industrial-scale production and commercialization. Exploration of untapped microbial diversity may lead to novel biosurfactants with unique properties, expanding the versatility and sustainability of biosurfactant-based solutions.

This is the first report on the metagenomic approach for unveiling the microbial diversity of Lasundra hot spring, Gujarat State, India. High-throughput sequencing of community DNA was performed on an Ion Torrent PGM platform. Metagenome consisted of 606,867 sequences represent 98,567,305 bps size with an average length of 162 bps and 46% G + C content. Metagenome sequence information is available at EBI under EBI Metagenomic database with accession no. ERP009313. MG-RAST assisted community analysis revealed that 99.21% sequences were bacterial origin, 0.43% was fit to eukaryotes and 0.11% belongs to archaea. A total of 29 bacterial, 20 eukaryotic and 4 archaeal phyla were detected. Abundant genera were Bacillus (86.7%), Geobacillus (2.4%), Paenibacillus (1.0%), Clostridium (0.7%) and Listeria (0.5%), that represent 91.52% in metagenome. In functional analysis, Cluster of Orthologous Group (COG) based annotation revealed that 45.4% was metabolism connected and 19.6% falls in poorly characterized group. Subsystem based annotation approach suggests that the 14.0% was carbohydrates, 7.0% was protein metabolism and 3.0% genes for various stress responses together with the versatile presence of commercially useful traits.

Here, we report metagenome from the Tuwa hot spring, India using shotgun sequencing approach. Metagenome consisted of 541,379 sequences with 98.7 Mbps size with 46% G + C content. Metagenomic sequence reads were deposited into the EMBL database under accession number ERP009321. Community analysis presented 99.1% sequences belong to bacteria, 0.3% of eukaryotic origin, 0.2% virus derived and 0.05% from archea. Unclassified and unidentified sequences were 0.4% and 0.07% respectively. A total of 22 bacterial phyla include 90 families and 201 species were observed in the hot spring metagenome. Firmicutes (97.0%), Proteobacteria (1.3%) and Actinobacteria (0.4%) were reported as dominant bacterial phyla. In functional analysis using Cluster of Orthologous Group (COG), 21.5% drops in the poorly characterized group. Using subsystem based annotation, 4.0% genes were assigned for stress responses and 3% genes were fit into the metabolism of aromatic compounds. The hot spring metagenome is very rich with novel sequences affiliated to unclassified and unidentified lineages, suggesting the potential source for novel microbial species and their products.

This is the first report on depicting the pioneering microbiota of Unnai hot spring using shotgun metagenome sequencing approach. Community analysis encompassed a total of 688,059 sequences with the t

Microorganisms are the diverse living things present on the Earth. India has numerous unique thermal habitats that comprise several diversity hotspots, such as hot springs, deep oceanic hydrothermal openings, anaerobic biodigesters. The existence of life at high temperatures is quite attractive. At both ends of the temperature range suited with life, only microorganisms can grow and survive. Thermophiles are a typical extremophilic microbes capable of existence in high temperature environments. At such high temperature, the ordinary cellular functions adversely affected for mesophiles. The thermophiles effectively manage instability of the plasma membrane, inactivation of enzymes instability of DNA, as well as other hostile physiological variations at such an elevated temperature. Heat shock proteins (Hsps) have established the most attention in thermophiles under stress condition, which is well described in this chapter. This chapter offers comprehensive information about thermophiles, physiology, metabolism, enzymes of metabolic pathways, and various adaptation mechanisms.