Cargando…

Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics

Rare members of environmental microbial communities are often overlooked and unexplored, primarily due to the lack of techniques capable of acquiring their genomes. Chloroflexi belong to one of the most understudied phyla, even though many of its members are ubiquitous in the environment and some pl...

Descripción completa

Detalles Bibliográficos
Autores principales: Dam, Hang T., Vollmers, John, Sobol, Morgan S., Cabezas, Angela, Kaster, Anne-Kristin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387413/
https://www.ncbi.nlm.nih.gov/pubmed/32793124
http://dx.doi.org/10.3389/fmicb.2020.01377
_version_ 1783564113885003776
author Dam, Hang T.
Vollmers, John
Sobol, Morgan S.
Cabezas, Angela
Kaster, Anne-Kristin
author_facet Dam, Hang T.
Vollmers, John
Sobol, Morgan S.
Cabezas, Angela
Kaster, Anne-Kristin
author_sort Dam, Hang T.
collection PubMed
description Rare members of environmental microbial communities are often overlooked and unexplored, primarily due to the lack of techniques capable of acquiring their genomes. Chloroflexi belong to one of the most understudied phyla, even though many of its members are ubiquitous in the environment and some play important roles in biochemical cycles or biotechnological applications. We here used a targeted cell-sorting approach, which enables the selection of specific taxa by fluorescent labeling and is compatible with subsequent single-cell genomics, to enrich for rare Chloroflexi species from a wastewater-treatment plant and obtain their genomes. The combined workflow was able to retrieve a substantially higher number of novel Chloroflexi draft genomes with much greater phylogenetical diversity when compared to a metagenomics approach from the same sample. The method offers an opportunity to access genetic information from rare biosphere members which would have otherwise stayed hidden as microbial dark matter and can therefore serve as an essential complement to cultivation-based, metagenomics, and microbial community-focused research approaches.
format Online
Article
Text
id pubmed-7387413
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-73874132020-08-12 Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics Dam, Hang T. Vollmers, John Sobol, Morgan S. Cabezas, Angela Kaster, Anne-Kristin Front Microbiol Microbiology Rare members of environmental microbial communities are often overlooked and unexplored, primarily due to the lack of techniques capable of acquiring their genomes. Chloroflexi belong to one of the most understudied phyla, even though many of its members are ubiquitous in the environment and some play important roles in biochemical cycles or biotechnological applications. We here used a targeted cell-sorting approach, which enables the selection of specific taxa by fluorescent labeling and is compatible with subsequent single-cell genomics, to enrich for rare Chloroflexi species from a wastewater-treatment plant and obtain their genomes. The combined workflow was able to retrieve a substantially higher number of novel Chloroflexi draft genomes with much greater phylogenetical diversity when compared to a metagenomics approach from the same sample. The method offers an opportunity to access genetic information from rare biosphere members which would have otherwise stayed hidden as microbial dark matter and can therefore serve as an essential complement to cultivation-based, metagenomics, and microbial community-focused research approaches. Frontiers Media S.A. 2020-07-22 /pmc/articles/PMC7387413/ /pubmed/32793124 http://dx.doi.org/10.3389/fmicb.2020.01377 Text en Copyright © 2020 Dam, Vollmers, Sobol, Cabezas and Kaster. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Dam, Hang T.
Vollmers, John
Sobol, Morgan S.
Cabezas, Angela
Kaster, Anne-Kristin
Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics
title Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics
title_full Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics
title_fullStr Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics
title_full_unstemmed Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics
title_short Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics
title_sort targeted cell sorting combined with single cell genomics captures low abundant microbial dark matter with higher sensitivity than metagenomics
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387413/
https://www.ncbi.nlm.nih.gov/pubmed/32793124
http://dx.doi.org/10.3389/fmicb.2020.01377
work_keys_str_mv AT damhangt targetedcellsortingcombinedwithsinglecellgenomicscaptureslowabundantmicrobialdarkmatterwithhighersensitivitythanmetagenomics
AT vollmersjohn targetedcellsortingcombinedwithsinglecellgenomicscaptureslowabundantmicrobialdarkmatterwithhighersensitivitythanmetagenomics
AT sobolmorgans targetedcellsortingcombinedwithsinglecellgenomicscaptureslowabundantmicrobialdarkmatterwithhighersensitivitythanmetagenomics
AT cabezasangela targetedcellsortingcombinedwithsinglecellgenomicscaptureslowabundantmicrobialdarkmatterwithhighersensitivitythanmetagenomics
AT kasterannekristin targetedcellsortingcombinedwithsinglecellgenomicscaptureslowabundantmicrobialdarkmatterwithhighersensitivitythanmetagenomics