MaAsLin 3: Refining and extending generalized multivariable linear models for meta-omic association discovery.

A key question in microbial community analysis is determining which microbial features are associated with community properties such as environmental or health phenotypes. This statistical task is impeded by characteristics of typical microbial community profiling technologies, including sparsity (which can be either technical or biological) and the compositionality imposed by most nucleotide sequencing approaches. Many models have been proposed that focus on how the relative abundance of a feature (e.

RNA-based amplicon sequencing is ineffective in measuring metabolic activity in environmental microbial communities.

Background: Characterization of microbial activity is essential to the understanding of the basic biology of microbial communities, as the function of a microbiome is defined by its biochemically active ("viable") community members. Current sequence-based technologies can rarely differentiate microbial activity, due to their inability to distinguish live and dead sourced DNA. As a result, our understanding of microbial community structures and the potential mechanisms of transmission between humans and our surrounding environments remains incomplete.

An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics.

Background: Effective surveillance of microbial communities in the healthcare environment is increasingly important in infection prevention. Metagenomics-based techniques are promising due to their untargeted nature but are currently challenged by several limitations: (1) they are not powerful enough to extract valid signals out of the background noise for low-biomass samples, (2) they do not distinguish between viable and nonviable organisms, and (3) they do not reveal the microbial load quantitatively. An additional practical challenge towards a robust pipeline is the inability to efficiently allocate sequencing resources a priori.

Toward Accurate and Robust Environmental Surveillance Using Metagenomics.

Environmental surveillance is a critical tool for combatting public health threats represented by the global COVID-19 pandemic and the continuous increase of antibiotic resistance in pathogens. With its power to detect entire microbial communities, metagenomics-based methods stand out in addressing the need. However, several hurdles remain to be overcome in order to generate actionable interpretations from metagenomic sequencing data for infection prevention.

Triclosan Tolerance Is Driven by a Conserved Mechanism in Diverse Species.

Perturbation of natural microbial communities by antimicrobials, such as triclosan, can result in selection for antibiotic tolerance, which is of particular concern when pathogens are present. Members of the genus are found in many natural microbial communities and frequently demonstrate increased abundance following triclosan exposure. The pathogen and well-studied model organism exhibits high triclosan tolerance; however, it is unknown if all species share this trait or if there are susceptible strains.

Whole microbial community viability is not quantitatively reflected by propidium monoazide sequencing approach.

Background: High-throughput sequencing provides a powerful window into the structural and functional profiling of microbial communities, but it is unable to characterize only the viable portion of microbial communities at scale. There is as yet not one best solution to this problem. Previous studies have established viability assessments using propidium monoazide (PMA) treatment coupled with downstream molecular profiling (e.

From one species to another: A review on the interaction between chemistry and microbiology in relation to cleaning in the built environment.

Since the advent of soap, personal hygiene practices have revolved around removal, sterilization, and disinfection-both of visible soil and microscopic organisms-for a myriad of cultural, aesthetic, or health-related reasons. Cleaning methods and products vary widely in their recommended use, effectiveness, risk to users or building occupants, environmental sustainability, and ecological impact. Advancements in science and technology have facilitated in-depth analyses of the indoor microbiome, and studies in this field suggest that the traditional "scorched-earth cleaning" mentality-that surfaces must be completely sterilized and prevent microbial establishment-may contribute to long-term human health consequences.

Improved PCR primers to amplify 16S rRNA genes from NC10 bacteria.

Anaerobic oxidation of methane (AOM) coupled to nitrite reduction (AOM-NIR) is ecologically significant for mitigating the methane-induced greenhouse effect. The microbes responsible for this reaction, NC10 bacteria, have been widely detected in diverse ecosystems. However, some defects were discovered in the commonly used NC10-specific primers, 202F and qP1F.