Evidence map›Paper›PMID 31409661›Full record

ArticlemSystems2019

Highly Reproducible 16S Sequencing Facilitates Measurement of Host Genetic Influences on the Stickleback Gut Microbiome.

Clayton M Small, Mark Currey, Emily A Beck, Susan Bassham, William A Cresko

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 1 institution in 1 country.

Clayton M SmallInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
Mark CurreyInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
Emily A BeckInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
Susan BasshamInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
William A CreskoInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA wcresko@uoregon.edu.ORCID https://orcid.org/0000-0002-3496-8074
University of Oregon · US

Funding

Research Area IIIP50GM098911 · NIGMS · UNIVERSITY OF OREGON · PI PARTHASARATHY, RAGHUVEER · 2012 to 2016
$9.8M
Advancing the Scientific Potential of Transcriptomics in Aquatic ModelsR24RR032670 · NCRR · UNIVERSITY OF OREGON · PI CRESKO, WILLIAM A, POSTLETHWAIT, JOHN H. · 2011 to 2011
$553k
Systems genetics analysis of natural variation in threespine stickleback host immunity and microbiotaF32GM122419 · NIGMS · UNIVERSITY OF OREGON · PI BECK, EMILY A · 2017 to 2018
$118k
NCRR NIH HHS R24 RR032670NIGMS NIH HHS F32 GM122419NIGMS NIH HHS P50 GM098911
6 · The paper itself

Abstract

Multicellular organisms interact with resident microbes in important ways, and a better understanding of host-microbe interactions is aided by tools such as high-throughput 16S sequencing. However, rigorous evaluation of the veracity of these tools in a different context from which they were developed has often lagged behind. Our goal was to perform one such critical test by examining how variation in tissue preparation and DNA isolation could affect inferences about gut microbiome variation between two genetically divergent lines of threespine stickleback fish maintained in the same laboratory environment. Using careful experimental design and intensive sampling of individuals, we addressed technical and biological sources of variation in 16S-based estimates of microbial diversity. After employing a two-tiered bead beating approach that comprised tissue homogenization followed by microbial lysis in subsamples, we found an extremely minor effect of DNA isolation protocol relative to among-host microbial diversity differences. Abundance estimates for rare operational taxonomic units (OTUs), however, showed much lower reproducibility. Gut microbiome composition was highly variable across fish-even among cohoused siblings-relative to technical replicates, but a subtle effect of host genotype (stickleback line) was nevertheless detected for some microbial taxa.

Indexed as

DNA isolationfish modelhost-microbe systemsmicrobial ecologyrepeatabilityreproducibility

Identifiers

PMID31409661
PMCPMC6697441
OpenAlexW2968562737

What OpenQuestion holds

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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 OpenQuestion graph.