Evidence map›Paper›PMID 19798447›Full record

ArticlePLoS genetics2009

Inference of microbial recombination rates from metagenomic data.

Philip L F Johnson, Montgomery Slatkin

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Recombination in viruses: mechanisms, methods of study, and evolutionary consequences.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2015
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Article
  18. The influence of rickettsiologists on post-modern microbiology.Frontiers in cellular and infection microbiology · 2011
    Review
  19. Article
  20. Article
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

2 authors at 1 institution in 1 country.

Philip L F JohnsonBiophysics Graduate Group, University of California Berkeley, Berkeley, California, United States of America. plfjohnson@berkeley.edu
Montgomery Slatkin
University of California, Berkeley · US

Funding

MODELS OF COMPLEX GENETIC SYSTEMSR01GM040282 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SLATKIN, MONTGOMERY WILSON · 1988 to 2017
$4.4M
NIGMS NIH HHS R01 GM040282NIGMS NIH HHS R01-GM40282
6 · The paper itself

Abstract

Metagenomic sequencing projects from environments dominated by a small number of species produce genome-wide population samples. We present a two-site composite likelihood estimator of the scaled recombination rate, rho = 2N(e)c, that operates on metagenomic assemblies in which each sequenced fragment derives from a different individual. This new estimator properly accounts for sequencing error, as quantified by per-base quality scores, and missing data, as inferred from the placement of reads in a metagenomic assembly. We apply our estimator to data from a sludge metagenome project to demonstrate how this method will elucidate the rates of exchange of genetic material in natural microbial populations. Surprisingly, for a fixed amount of sequencing, this estimator has lower variance than similar methods that operate on more traditional population genetic samples of comparable size. In addition, we can infer variation in recombination rate across the genome because metagenomic projects sample genetic diversity genome-wide, not just at particular loci. The method itself makes no assumption specific to microbial populations, opening the door for application to any mixed population sample where the number of individuals sampled is much greater than the number of fragments sequenced.

Indexed as

Databases, GeneticGenetic TechniquesRecombination, GeneticBacteriaMetagenomics

Identifiers

PMID19798447
PMCPMC2745702
OpenAlexW2029574650

What OpenQuestion 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 OpenQuestion graph.