Evidence map›Paper›PMID 20333214›Full record

ArticleGenome biology and evolution2009

Population genomic inferences from sparse high-throughput sequencing of two populations of Drosophila melanogaster.

Timothy B Sackton, Rob J Kulathinal, Casey M Bergman, Aaron R Quinlan, Erik B Dopman, Mauricio Carneiro, Gabor T Marth, Daniel L Hartl, Andrew G Clark

Abstract read
In one paragraph

Article in Genome biology and evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  8. Article
  9. Population Genomics on the Fly: Recent Advances in Drosophila.Methods in molecular biology (Clifton, N.J.) · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Genomic analysis ofPeerJ · 2017
    Article
  16. Article
  17. Article
  18. Article
  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

9 authors.

Timothy B SacktonDepartment of Organismic and Evolutionary Biology, Harvard University, Boston, MA, USA. tsackton@oeb.harvard.edu
Rob J Kulathinal
Casey M Bergman
Aaron R Quinlan
Erik B Dopman
Mauricio Carneiro
Gabor T Marth
Daniel L Hartl
Andrew G Clark

Funding

Functional /Comparative Genomic of Drosophila immunityR01AI064950 · NIAID · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G, LAZZARO, BRIAN · 2005 to 2016
$3.7M
Software Tools for Next-Generation Sequencer DataR01HG004719 · NHGRI · BOSTON COLLEGE · PI MARTH, GABOR T · 2008 to 2011
$2.5M
Interspecific divergence of Y chromosome effects on gene expression in DrosophilaF32GM086950 · NIGMS · HARVARD UNIVERSITY · PI SACKTON, TIMOTHY · 2009 to 2011
$144k
Genetics and evolution of gene copy number polymorphismF32GM080090 · NIGMS · HARVARD UNIVERSITY · PI DOPMAN, ERIK B · 2007 to 2008
$96k
NHGRI NIH HHS R01 HG004719NIAID NIH HHS R01 AI064950NIGMS NIH HHS F32 GM080090NIGMS NIH HHS F32 GM086950
6 · The paper itself

Abstract

Short-read sequencing techniques provide the opportunity to capture genome-wide sequence data in a single experiment. A current challenge is to identify questions that shallow-depth genomic data can address successfully and to develop corresponding analytical methods that are statistically sound. Here, we apply the Roche/454 platform to survey natural variation in strains of Drosophila melanogaster from an African (n = 3) and a North American (n = 6) population. Reads were aligned to the reference D. melanogaster genomic assembly, single nucleotide polymorphisms were identified, and nucleotide variation was quantified genome wide. Simulations and empirical results suggest that nucleotide diversity can be accurately estimated from sparse data with as little as 0.2x coverage per line. The unbiased genomic sampling provided by random short-read sequencing also allows insight into distributions of transposable elements and copy number polymorphisms found within populations and demonstrates that short-read sequencing methods provide an efficient means to quantify variation in genome organization and content. Continued development of methods for statistical inference of shallow-depth genome-wide sequencing data will allow such sparse, partial data sets to become the norm in the emerging field of population genomics.

Indexed as

copy number polymorphismDrosophilanext-gen sequencingnucleotide diversitypopulation genomicstransposable elements

Identifiers

PMID20333214
PMCPMC2839279

What OpenQuestion holds

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LicenceCC BY-NC
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.