Evidence map›Paper›PMID 36317886›Full record

ArticlemSystems2022

synDNA-a Synthetic DNA Spike-in Method for Absolute Quantification of Shotgun Metagenomic Sequencing.

Livia S Zaramela, Megan Tjuanta, Oriane Moyne, Maxwell Neal, Karsten Zengler

Abstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
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  5. Review
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  10. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
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  19. Article
  20. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Livia S ZaramelaDepartment of Pediatrics, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
Megan TjuantaDepartment of Pediatrics, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
Oriane MoyneDepartment of Pediatrics, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
Maxwell NealDepartment of Bioengineering, University of California, San Diegogrid.266100.3, La Jolla, California, USA.
Karsten ZenglerDepartment of Pediatrics, University of California, San Diegogrid.266100.3, La Jolla, California, USA.ORCID 0000-0002-8062-3296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome studies have the common goal of determining which microbial taxa are present, respond to specific conditions, or promote phenotypic changes in the host. Most of these studies rely on relative abundance measurements to drive conclusions. Inherent limitations of relative values are the inability to determine whether an individual taxon is more or less abundant and the magnitude of this change between the two samples. These limitations can be overcome by using absolute abundance quantifications, which can allow for a more complete understanding of community dynamics by measuring variations in total microbial loads. Obtaining absolute abundance measurements is still technically challenging. Here, we developed synthetic DNA (synDNA) spike-ins that enable precise and cost-effective absolute quantification of microbiome data by adding defined amounts of synDNAs to the samples. We designed 10 synDNAs with the following features: 2,000-bp length, variable GC content (26, 36, 46, 56, or 66% GC), and negligible identity to sequences found in the NCBI database. Dilution pools were generated by mixing the 10 synDNAs at different concentrations. Shotgun metagenomic sequencing showed that the pools of synDNAs with different percentages of GC efficiently reproduced the serial dilution, showing high correlation (

Indexed as

MetagenomeMicrobiotaBacteriaDNAPlasmidsDNAabsolute abundancemetagenomicsmicrobial communities

Identifiers

PMID36317886
PMCPMC9765022

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.