Evidence map›Paper›PMID 23118913›Full record

ArticlePloS one2012

FREQ-Seq: a rapid, cost-effective, sequencing-based method to determine allele frequencies directly from mixed populations.

Lon M Chubiz, Ming-Chun Lee, Nigel F Delaney, Christopher J Marx

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
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  6. Potentiation of Aminoglycoside Lethality by CAntimicrobial agents and chemotherapy · 2019
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Cystic fibrosis-adaptedScience advances · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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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

4 authors.

Lon M ChubizDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.
Ming-Chun Lee
Nigel F Delaney
Christopher J Marx

Funding

Systems-level physiological basis of selection and epistasis in adaptationR01GM078209 · NIGMS · HARVARD UNIVERSITY · PI MARX, CHRISTOPHER J · 2007 to 2011
$1.7M
NIGMS NIH HHS GM078209NIGMS NIH HHS R01 GM078209
6 · The paper itself

Abstract

Understanding evolutionary dynamics within microbial populations requires the ability to accurately follow allele frequencies through time. Here we present a rapid, cost-effective method (FREQ-Seq) that leverages Illumina next-generation sequencing for localized, quantitative allele frequency detection. Analogous to RNA-Seq, FREQ-Seq relies upon counts from the >10(5) reads generated per locus per time-point to determine allele frequencies. Loci of interest are directly amplified from a mixed population via two rounds of PCR using inexpensive, user-designed oligonucleotides and a bar-coded bridging primer system that can be regenerated in-house. The resulting bar-coded PCR products contain the adapters needed for Illumina sequencing, eliminating further library preparation. We demonstrate the utility of FREQ-Seq by determining the order and dynamics of beneficial alleles that arose as a microbial population, founded with an engineered strain of Methylobacterium, evolved to grow on methanol. Quantifying allele frequencies with minimal bias down to 1% abundance allowed effective analysis of SNPs, small in-dels and insertions of transposable elements. Our data reveal large-scale clonal interference during the early stages of adaptation and illustrate the utility of FREQ-Seq as a cost-effective tool for tracking allele frequencies in populations.

Indexed as

Gene FrequencyGenes, BacterialGenotyping TechniquesAllelesCalibrationDNA Transposable ElementsEvolution, MolecularGene LibraryGenotypeHigh-Throughput Nucleotide SequencingINDEL MutationMethylobacterium extorquensModels, GeneticPlasmidsPolymerase Chain ReactionPolymorphism, Single NucleotideDNA Transposable Elements

Identifiers

PMID23118913
PMCPMC3485326

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.