A metagenomic DNA sequencing assay that is robust against environmental DNA contamination
Metagenomic DNA sequencing is a powerful tool to characterize microbial communities but is sensitive to environmental DNA contamination, in particular when applied to samples with low microbial biomass. Here, we present contamination-free metagenomic DNA sequencing (Coffee-seq), a metagenomic sequencing assay that is robust against environmental contamination. The core idea of Coffee-seq is to tag the DNA in the sample prior to DNA isolation and library preparation with a label that can be recorded by DNA sequencing. Any contaminating DNA that is introduced in the sample after tagging can then be bioinformatically identified and removed. We applied Coffee-seq to screen for infections from microorganisms with low burden in blood and urine, to identify COVID-19 co-infection, to characterize the urinary microbiome, and to identify microbial DNA signatures of inflammatory bowel disease in blood.
Errataetall: |
UpdateIn: Nat Commun. 2022 Jul 21;13(1):4197. - PMID 35864089 |
---|---|
Medienart: |
E-Artikel |
Erscheinungsjahr: |
2021 |
---|---|
Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - year:2021 |
---|---|
Enthalten in: |
bioRxiv : the preprint server for biology - (2021) vom: 23. Nov. |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Mzava, Omary [VerfasserIn] |
---|
Links: |
---|
Themen: |
---|
Anmerkungen: |
Date Revised 08.11.2023 published: Electronic UpdateIn: Nat Commun. 2022 Jul 21;13(1):4197. - PMID 35864089 Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.1101/2021.11.22.469599 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM333824865 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM333824865 | ||
003 | DE-627 | ||
005 | 20231225222436.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1101/2021.11.22.469599 |2 doi | |
028 | 5 | 2 | |a pubmed24n1112.xml |
035 | |a (DE-627)NLM333824865 | ||
035 | |a (NLM)34845444 | ||
035 | |a (PII)2021.11.22.469599 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Mzava, Omary |e verfasserin |4 aut | |
245 | 1 | 2 | |a A metagenomic DNA sequencing assay that is robust against environmental DNA contamination |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 08.11.2023 | ||
500 | |a published: Electronic | ||
500 | |a UpdateIn: Nat Commun. 2022 Jul 21;13(1):4197. - PMID 35864089 | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a Metagenomic DNA sequencing is a powerful tool to characterize microbial communities but is sensitive to environmental DNA contamination, in particular when applied to samples with low microbial biomass. Here, we present contamination-free metagenomic DNA sequencing (Coffee-seq), a metagenomic sequencing assay that is robust against environmental contamination. The core idea of Coffee-seq is to tag the DNA in the sample prior to DNA isolation and library preparation with a label that can be recorded by DNA sequencing. Any contaminating DNA that is introduced in the sample after tagging can then be bioinformatically identified and removed. We applied Coffee-seq to screen for infections from microorganisms with low burden in blood and urine, to identify COVID-19 co-infection, to characterize the urinary microbiome, and to identify microbial DNA signatures of inflammatory bowel disease in blood | ||
650 | 4 | |a Preprint | |
700 | 1 | |a Cheng, Alexandre Pellan |e verfasserin |4 aut | |
700 | 1 | |a Chang, Adrienne |e verfasserin |4 aut | |
700 | 1 | |a Smalling, Sami |e verfasserin |4 aut | |
700 | 1 | |a Djomnang Kounatse, Liz-Audrey |e verfasserin |4 aut | |
700 | 1 | |a Lenz, Joan |e verfasserin |4 aut | |
700 | 1 | |a Longman, Randy |e verfasserin |4 aut | |
700 | 1 | |a Steadman, Amy |e verfasserin |4 aut | |
700 | 1 | |a Salvatore, Mirella |e verfasserin |4 aut | |
700 | 1 | |a Suthanthiran, Manikkam |e verfasserin |4 aut | |
700 | 1 | |a Lee, John R |e verfasserin |4 aut | |
700 | 1 | |a Mason, Christopher E |e verfasserin |4 aut | |
700 | 1 | |a Dadhania, Darshana |e verfasserin |4 aut | |
700 | 1 | |a De Vlaminck, Iwijn |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t bioRxiv : the preprint server for biology |d 2020 |g (2021) vom: 23. Nov. |w (DE-627)NLM31090014X |7 nnns |
773 | 1 | 8 | |g year:2021 |g day:23 |g month:11 |
856 | 4 | 0 | |u http://dx.doi.org/10.1101/2021.11.22.469599 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |j 2021 |b 23 |c 11 |