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1.
Proc Natl Acad Sci U S A ; 121(15): e2309636121, 2024 Apr 09.
Artículo en Inglés | MEDLINE | ID: mdl-38573964

RESUMEN

Rates of microbial processes are fundamental to understanding the significance of microbial impacts on environmental chemical cycling. However, it is often difficult to quantify rates or to link processes to specific taxa or individual cells, especially in environments where there are few cultured representatives with known physiology. Here, we describe the use of the redox-enzyme-sensitive molecular probe RedoxSensor™ Green to measure rates of anaerobic electron transfer physiology (i.e., sulfate reduction and methanogenesis) in individual cells and link those measurements to genomic sequencing of the same single cells. We used this method to investigate microbial activity in hot, anoxic, low-biomass (~103 cells mL-1) groundwater of the Death Valley Regional Flow System, California. Combining this method with electron donor amendment experiments and metatranscriptomics confirmed that the abundant spore formers including Candidatus Desulforudis audaxviator were actively reducing sulfate in this environment, most likely with acetate and hydrogen as electron donors. Using this approach, we measured environmental sulfate reduction rates at 0.14 to 26.9 fmol cell-1 h-1. Scaled to volume, this equates to a bulk environmental rate of ~103 pmol sulfate L-1 d-1, similar to potential rates determined with radiotracer methods. Despite methane in the system, there was no evidence for active microbial methanogenesis at the time of sampling. Overall, this method is a powerful tool for estimating species-resolved, single-cell rates of anaerobic metabolism in low-biomass environments while simultaneously linking genomes to phenomes at the single-cell level. We reveal active elemental cycling conducted by several species, with a large portion attributable to Ca. Desulforudis audaxviator.


Asunto(s)
Ecosistema , Ambiente , Transporte de Electrón , Sulfatos/química , Respiración de la Célula
2.
Nat Commun ; 8(1): 2134, 2017 12 12.
Artículo en Inglés | MEDLINE | ID: mdl-29233980

RESUMEN

The original version of this Article contained errors in the units of concentration of three reagents listed in the Methods. These errors have all been corrected in both the PDF and HTML versions of the Article.

3.
Nat Commun ; 8(1): 84, 2017 07 20.
Artículo en Inglés | MEDLINE | ID: mdl-28729688

RESUMEN

Microbial single-cell genomics can be used to provide insights into the metabolic potential, interactions, and evolution of uncultured microorganisms. Here we present WGA-X, a method based on multiple displacement amplification of DNA that utilizes a thermostable mutant of the phi29 polymerase. WGA-X enhances genome recovery from individual microbial cells and viral particles while maintaining ease of use and scalability. The greatest improvements are observed when amplifying high G+C content templates, such as those belonging to the predominant bacteria in agricultural soils. By integrating WGA-X with calibrated index-cell sorting and high-throughput genomic sequencing, we are able to analyze genomic sequences and cell sizes of hundreds of individual, uncultured bacteria, archaea, protists, and viral particles, obtained directly from marine and soil samples, in a single experiment. This approach may find diverse applications in microbiology and in biomedical and forensic studies of humans and other multicellular organisms.Single-cell genomics can be used to study uncultured microorganisms. Here, Stepanauskas et al. present a method combining improved multiple displacement amplification and FACS, to obtain genomic sequences and cell size information from uncultivated microbial cells and viral particles in environmental samples.


Asunto(s)
Deinococcus/genética , Escherichia coli/genética , Genoma Bacteriano/genética , Genoma Viral/genética , Prochlorococcus/genética , Virión/genética , Composición de Base , Tamaño de la Célula , Deinococcus/citología , Escherichia coli/citología , Citometría de Flujo , Técnicas de Amplificación de Ácido Nucleico , Prochlorococcus/citología , Análisis de Secuencia de ADN , Análisis de Secuencia de ARN , Análisis de la Célula Individual
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