Spectral Algal Fingerprinting and Long Sequencing in Synthetic Algal-Microbial Communities.

ABSTRACT: Synthetic biology has advanced in creating artificial microbial and algal communities, but technical and evolutionary complexities still pose significant challenges. Traditional methods, like microscopy and pigment analysis, are limited in throughput and resolution. In contrast, advancements in full-spectrum cytometry enabled high-throughput, multidimensional analysis of single cells based on size, complexity, and spectral fingerprints, offering more precision and flexibility than conventional flow cytometry. This study uses full-spectrum cytometry to analyze synthetic algal-microbial communities, enabling rapid species identification and enumeration. The workflow involves recording individual spectral signatures from monocultures, using autofluorescence to capture populations of interest,

SUBMITTER: Meirkhanova A 

PROVIDER: S-EPMC11430485 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature