Comparative genomics with evolutionary lineage in Streptomyces bacteria reveals high biosynthetic potentials

Genome mining in silico approaches allow scientists to proficiently evaluate the genomic potency of secondary bioactive chemical producers and find new bioactive compounds in different bacteria. Streptomyces is one of the most ubiquitous bacterial genera in the environments, and well-known as prolific producers of diverse and valuable natural products (NPs) with significant biological activities. Mining and prioritizing of NP biosynthetic gene clusters (BGCs) would be the most important stage in the identification of novel compounds. Comparative genomics and genetic similarity network analysis of 62 Streptomyces public reference genomes demonstrated that individuals of these species exhibit a huge number of distinct NP BGCs, the most of which are cryptic and unconnected to any reported NPs with high phylogenetic variation among individuals. It was assumed that substantial heterogeneity across the varieties of species of Streptomyces drives outstanding biosynthetic and metabolic potential, making them plausible candidates for the identification of novel molecules.

Optimization, Characteristics, and Functions of Alkaline Phosphatase From Escherichia coli

Weaning of piglets could increase the risk of infecting with Gram-negative pathogens, which can further bring about a wide array of virulence factors including the endotoxin lipopolysaccharide (LPS). It is in common practice that the use of antibiotics has been restricted in animal husbandry. Alkaline phosphatase (AKP) plays an important role in the detoxification and anti-inflammatory effects of LPS. This study investigated the protective effects of AKP on intestinal epithelial cells during inflammation. Site-directed mutagenesis was performed to modulate the AKP activity. The enzyme activity tests showed that the activity of the DelSigD₁₅₃G-D₃₃₀N mutants in B. subtilis was nearly 1,600 times higher than that of the wild-type AKP. In this study, an in vitro LPS-induced inflammation model using IPEC-J2 cells was established. The mRNA expression of interleukin-(IL-) 6, IL-8, and tumor necrosis factor-α (TNF-α) were extremely significantly downregulated, and that of ASC amino acid transporter 2 (ASCT-2), zonula occludens protein-1 (ZO-1), and occludin-3 (CLDN-3) were significantly upregulated by the DelSigD₁₅₃G-D₃₃₀N mutant compared with LPS treatment. This concludes the anti-inflammatory role of AKP on epithelial membrane, and we are hopeful that this research could achieve a sustainable development for the pig industry.

In silico genome mining of potential novel biosynthetic gene clusters for drug discovery from Burkholderia bacteria

As an emerging resource, Gram-negative Burkholderia bacteria were able to produce a wide range of bioactive secondary metabolites with potential therapeutic and biotechnological applications. Genome mining has emerged as an influential platform for screening and pinpointing natural product diversity with the increasing number of Burkholderia genome sequences. Here, for genome mining of potential biosynthetic gene clusters (BGCs) and prioritizing prolific producing Burkholderia strains, we investigated the relationship between species evolution and distribution of main BGC groups using computational analysis of complete genome sequences of 248 Burkholderia species publicly available. We uncovered significantly differential distribution patterns of BGCs in the Burkholderia phyla, even among strains that are genetically very similar. We found various types of BGCs in Burkholderia, including some representative and most common BGCs for biosynthesis of encrypted or known terpenes, non-ribosomal peptides (NRPs) and some hybrid BGCs for cryptic products. We also observed that Burkholderia contain a lot of unspecified BGCs, representing high potentials to produce novel compounds. Analysis of BGCs for RiPPs (Ribosomally synthesized and posttranslationally modified peptides) and a texobactin-like BGC as examples showed wide classification and diversity of RiPP BGCs in Burkholderia at species level and metabolite predication. In conclusion, as the biggest investigation in silico by far on BGCs of the particular genus Burkholderia, our data implied a great diversity of natural products in Burkholderia and BGC distributions closely related to phylogenetic variation, and suggested different or concurrent strategies used to identify new drug molecules from these microorganisms will be important for the selection of potential BGCs and prolific producing strains for drug discovery.

Functional probiotics of lactic acid bacteria from Hu sheep milk

Background

Probiotics are being considered as valuable microorganisms related to human health. Hu sheep is referred as one of the important sheep breeds in China. Goat milk produced by Hu sheep is characterized with high nutritional value and hypoallergenic in nature. Particularly, this milk contains plenty of milk prebiotic and probiotic bacteria. This study was aimed to scrutinize more bacterial strains from Hu sheep milk with potential probiotic activity.

Results

Based on 16S rRNA sequence analysis, pool of forty bacterial strains were identified and evaluated their antimicrobial activities against Staphylococcus aureus, enterohemorrhagic Escherichia coli (EHEC), Salmonella typhimurium, Listeria monocytogenes enterotoxigenic E. coli (ETEC) and Aeromonas caviae. Four out of these isolated strains demonstrated their efficient bacteriostatic ability and potential healthy properties. We also examined the safety aspects of these bacterial candidates including three Lactococcus lactis strains (named as HSM-1, HSM-10, and HSM-18) and one Leuconostoc lactis strain (HSM-14), and were further evaluated via in vitro tests, including antimicrobial activity, cell surface characteristics (hydrophobicity, co-aggregation, and self-aggregation), heat treatment, antibiotic susceptibility, simulated transport tolerance in the gastrointestinal tract, and acid/bile tolerance. The obtained results revealed that HSM-1, HSM-10, HSM-14, and HSM-18 showed high survival rate at different conditions for example low pH, presence of bovine bile and demonstrated high hydrophobicity. Moreover, HSM-14 had an advantage over other strains in terms of gastrointestinal tract tolerance, antimicrobial activities against pathogens, and these results were significantly better than other bacterial candidates.

Conclusion

Hu sheep milk as a source of exploration of potential lactic acid bacteria (LAB) probiotics open the new horizon of probiotics usage from unconventional milk sources. The selected LAB strains are excellent probiotic candidates which can be used for animal husbandry in the future. Rationale of the study was to utilize Hu sheep milk as a source of potential probiotic LABs. The study has contributed to the establishment of a complete bacterial resource pool by exploring the Hu sheep milk microflora.

Recombineering for Genetic Engineering of Natural Product Biosynthetic Pathways

Microbial genomes encode many cryptic and uncharacterized biosynthetic gene clusters (BGCs). Exploiting this unexplored genetic wealth to discover microbial novel natural products (NPs) remains a challenging issue. We review homologous recombination (HR)-based recombineering, mediated by the recombinases RecE/RecT from Rac prophage and Redα/Redβ from lambda phage, which has developed into a highly inclusive tool for direct cloning of large DNA up to 100 kb, seamless mutation, multifragment assembly, and heterologous expression of microbial NP BGCs. Its utilization in the refactoring, engineering, and functional expression of long BGCs for NP biosynthesis makes it easy to elucidate NP-producing potential in microbes. This review also highlights various applications of recombineering in NP-derived drug discovery.