Nanopore sequencing enables novel detection of deuterium incorporation in DNA

Identifying active microbes is crucial to understand their role in ecosystem functions. Metabolic labeling with heavy, non-radioactive isotopes, i.e., stable isotope probing (SIP), can track active microbes by detecting heavy isotope incorporation in biomolecules such as DNA. However, the detection of heavy isotope-labeled nucleotides directly during sequencing has, to date, not been achieved. In this study, Oxford nanopore sequencing was utilized to detect heavy isotopes incorporation in DNA molecules. Two isotopes widely used in SIP experiments were employed to label a bacterial isolate: deuterium (D, as D<sub>2</sub>O) and carbon-13 (<sup>13</sup>C, as glucose). We hypothesize that labeled DNA is distinguishable from unlabeled DNA by changes in the nanopore signal. To verify this distinction, we employed a Bayesian classifier trained on signal distributions of short oligonucleotides (<i>k</i>-mers) from labeled and unlabeled sequencing reads. Our results show a clear distinction between D-labeled and unlabeled reads, based on changes in median and median absolute deviation (MAD) of the nanopore signals for different <i>k</i>-mers. In contrast, <sup>13</sup>C-labeled DNA cannot be distinguished from unlabeled DNA. For D, the model employed correctly predicted more than 85% of the reads. Even when metabolic labeling was conducted with only 30% D<sub>2</sub>O, 80% of the obtained reads were correctly classified with a 5% false discovery rate. Our work demonstrates the feasibility of direct detection of deuterium incorporation in DNA molecules during Oxford nanopore sequencing. This finding represents a first step in establishing the combined use of nanopore sequencing and SIP for tracking active organisms in microbial ecology.

Authors

Institutions

Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2024-10-03
DOI
https://doi.org/10.1016/j.csbj.2024.09.027
Citations
4
Primary Topic
Chemical Reactions and Isotopes
Type
article
Field-Weighted Citation Impact
0.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanopore sequencing enables novel detection of deuterium incorporation in DNA

Christian Höner zu Siederdissen, Sebastian Krautwurst, Akash Srivastava, Jannes Spangenberg et al.
4 citations
Computational and Structural Biotechnology Journal
Chemical Reactions and Isotopes
0.62
article

Nanopore sequencing enables novel detection of deuterium incorporation in DNA

Christian Höner zu Siederdissen, Sebastian Krautwurst, Akash Srivastava, Jannes Spangenberg, Kevin Bisdorf, Martin Taubert, Manja Marz
article en
4 citations

Abstract

Identifying active microbes is crucial to understand their role in ecosystem functions. Metabolic labeling with heavy, non-radioactive isotopes, i.e., stable isotope probing (SIP), can track active microbes by detecting heavy isotope incorporation in biomolecules such as DNA. However, the detection of heavy isotope-labeled nucleotides directly during sequencing has, to date, not been achieved. In this study, Oxford nanopore sequencing was utilized to detect heavy isotopes incorporation in DNA molecules. Two isotopes widely used in SIP experiments were employed to label a bacterial isolate: deuterium (D, as D<sub>2</sub>O) and carbon-13 (<sup>13</sup>C, as glucose). We hypothesize that labeled DNA is distinguishable from unlabeled DNA by changes in the nanopore signal. To verify this distinction, we employed a Bayesian classifier trained on signal distributions of short oligonucleotides (<i>k</i>-mers) from labeled and unlabeled sequencing reads. Our results show a clear distinction between D-labeled and unlabeled reads, based on changes in median and median absolute deviation (MAD) of the nanopore signals for different <i>k</i>-mers. In contrast, <sup>13</sup>C-labeled DNA cannot be distinguished from unlabeled DNA. For D, the model employed correctly predicted more than 85% of the reads. Even when metabolic labeling was conducted with only 30% D<sub>2</sub>O, 80% of the obtained reads were correctly classified with a 5% false discovery rate. Our work demonstrates the feasibility of direct detection of deuterium incorporation in DNA molecules during Oxford nanopore sequencing. This finding represents a first step in establishing the combined use of nanopore sequencing and SIP for tracking active organisms in microbial ecology.

Computational and Structural Biotechnology JournalVol. 23
German Centre for Integrative Biodiversity Research (DE), Leibniz Association (DE), Friedrich Schiller University Jena (DE)
Carl-Zeiss-Stiftung, Friedrich-Schiller-Universität Jena, Deutsche Forschungsgemeinschaft, Thüringer Aufbaubank
Zero hunger
Openalex Percentile: Top 36%
Chemical Reactions and Isotopes
0.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.