Characterization and Phylogenetic Analysis of Microbial Surface Active Compound-Producing Bacteria

Pectinatus spp. - Unpleasant and recurrent brewing spoilage bacteria

Traditionally, beer has been recognised as a beverage with high microbiological stability because of the hostile growth environment posed by beer and increasing attention being paid to brewery hygiene. However, the microbiological risk has increased in recent years because of technological advances toward reducing oxygen in beers, besides the increase in novel beer styles production, such as non-pasteurised, flash pasteurised, cold sterilised, mid-strength, and alcoholic-free beer, that are more prone to spoilage bacteria. Moreover, using innovative beer ingredients like fruits and vegetables is an added cause of microbial spoilage. To maintain quality and good brand image, beer spoilage microorganisms are a critical concern for breweries worldwide. Pectinatus and Megasphaera are Gram-negative bacteria mostly found in improper brewing environments, leading to consumer complaints and financial losses. Because of the lack of compiled scientific knowledge on Pectinatus spoilage ability, this review provides a comprehensive overview of the occurrence, survival mechanisms, and the factors affecting beer spoilage Pectinatus species in the brewing process.

Habitat filtering shapes the differential structure of microbial communities in the Xilingol grassland

The spatial variability of microorganisms in grasslands can provide important insights regarding the biogeographic patterns of microbial communities. However, information regarding the degree of overlap and partitions of microbial communities across different habitats in grasslands is limited. This study investigated the microbial communities in three distinct habitats from Xilingol steppe grassland, i.e. animal excrement, phyllosphere, and soil samples, by Illumina MiSeq sequencing. All microbial community structures, i.e. for bacteria, archaea, and fungi, were significantly distinguished according to habitat. A high number of unique microorganisms but few coexisting microorganisms were detected, suggesting that the structure of microbial communities was mainly regulated by species selection and niche differentiation. However, the sequences of those limited coexisting microorganisms among the three different habitats accounted for over 60% of the total sequences, indicating their ability to adapt to variable environments. In addition, the biotic interactions among microorganisms based on a co-occurrence network analysis highlighted the importance of Microvirga, Blastococcus, RB41, Nitrospira, and four norank members of bacteria in connecting the different microbiomes. Collectively, the microbial communities in the Xilingol steppe grassland presented strong habitat preferences with a certain degree of dispersal and colonization potential to new habitats along the animal excrement- phyllosphere-soil gradient. This study provides the first detailed comparison of microbial communities in different habitats in a single grassland, and offers new insights into the biogeographic patterns of the microbial assemblages in grasslands.

Bacterial communities under long-term conventional and transgenic cotton farming systems using V3-V5 and V5-V9 of 16s rDNA

Understanding the community structure of soil microbes is required to evaluate the potential effects of genetically modified (GM) plants on ecological environments. Bacterial communities in soil planted with conventional cotton (CC) and transgenic cultivar (TC) in a natural ecosystem for three years were characterized by 454 pyrosequencing of the V3-V5 and V5-V9 regions of 16S rDNA from June to September 2013. V3-V5 and V5-V9 regions yielded a total of 12,848 and 10,541 OTUs, respectively. The V5-V9 amplicon was additionally used to detect phyla that were poorly sequenced by V3-V5 (such as Chlamydiae, Crenarchaeota and Archaea). Among the species detected by each primer pair, 46% of the species identified from V3-V5 and 60% of those identified from V5-V9 were detected by both primer pairs. Although distinct bacterial compositions existed between the two amplified regions, statistical analysis revealed no significant difference in the diversity indexes or phylogenetic patterns in TC versus compared to those in the CC control. Further, clustering analysis in both regions indicated that there was no unambiguous aggregation in TC compared to that in CC control. Of all 26 phyla detected by both regions, each region detected 2 distinct phyla exhibiting significant variations in abundance. The species unique to each treatment field accounted for less than 27% of all species and were rare taxa (abundance < 0.15%). However, a small fraction of diagnostic taxa with specific ecological functions differed significantly between TC and CC. These differences were not driven by any obvious environmental factors. The results established a comprehensive inventory of the bacterial communities associated with GM plants and indicated that transgenic cotton may not significantly affect soil microorganisms compared with conventional cotton over a three-year period. Furthermore, diagnostic taxa were provided for monitoring the perturbation in soil, but further verification in future studies is required.

Surfactants tailored by the class Actinobacteria

Globally the change towards the establishment of a bio-based economy has resulted in an increased need for bio-based applications. This, in turn, has served as a driving force for the discovery and application of novel biosurfactants. The class Actinobacteria represents a vast group of microorganisms with the ability to produce a diverse range of secondary metabolites, including surfactants. Understanding the extensive nature of the biosurfactants produced by actinobacterial strains can assist in finding novel biosurfactants with new potential applications. This review therefore presents a comprehensive overview of the knowledge available on actinobacterial surfactants, the chemical structures that have been completely or partly elucidated, as well as the identity of the biosurfactant-producing strains. Producer strains of not yet elucidated compounds are discussed, as well as the original habitats of all the producer strains, which seems to indicate that biosurfactant production is environmentally driven. Methodology applied in the isolation, purification and structural elucidation of the different types of surface active compounds, as well as surfactant activity tests, are also discussed. Overall, actinobacterial surfactants can be summarized to include the dominantly occurring trehalose-comprising surfactants, other non-trehalose containing glycolipids, lipopeptides and the more rare actinobacterial surfactants. The lack of structural information on a large proportion of actinobacterial surfactants should be considered as a driving force to further explore the abundance and diversity of these compounds. This would allow for a better understanding of actinobacterial surface active compounds and their potential for biotechnological application.