Evidence map›Paper›PMID 33827913›Full record

ArticlemSphere2021

Genome-Based Targeted Sequencing as a Reproducible Microbial Community Profiling Assay.

Jacquelynn Benjamino, Benjamin Leopold, Daniel Phillips, Mark D Adams

Abstract read
In one paragraph

Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Jacquelynn BenjaminoThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.ORCID 0000-0001-8746-9124
Benjamin LeopoldThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.
Daniel PhillipsThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA.
Mark D AdamsThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA mark.adams@jax.org.ORCID 0000-0003-3161-7460

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current sequencing-based methods for profiling microbial communities rely on marker gene (e.g., 16S rRNA) or metagenome shotgun sequencing (mWGS) analysis. We present an approach based on a single-primer extension reaction using a highly multiplexed oligonucleotide probe pool. This approach, termed MA-GenTA (microbial abundances from genome tagged analysis), enables quantitative, straightforward, cost-effective microbiome profiling that combines desirable features of both 16S rRNA and mWGS strategies. The use of multiple probes per target genome and rigorous probe design criteria enabled robust determination of relative abundance. To test the utility of the MA-GenTA assay, probes were designed for 830 genome sequences representing bacteria present in mouse stool specimens. Comparison of the MA-GenTA data with mWGS data demonstrated excellent correlation down to 0.01% relative abundance and a similar number of organisms detected per sample. Despite the incompleteness of the reference database, nonmetric multidimensional scaling (NMDS) clustering based on the Bray-Curtis dissimilarity metric of sample groups was consistent between MA-GenTA, mWGS, and 16S rRNA data sets. MA-GenTA represents a potentially useful new method for microbiome community profiling based on reference genomes.

Indexed as

Genome, BacterialMetagenomeAnimalsBacteriaDNA, BacterialFecesGene Expression ProfilingHigh-Throughput Nucleotide SequencingMiceMice, Inbred C57BLMicrobiotaPhylogenySequence Analysis, DNADNA, Bacterial16SMA-GenTAmicrobial communitiesmicrobiomemWGStargeted sequencing

Identifiers

PMID33827913
PMCPMC8546724

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.