Evidence map›Paper›PMID 25188499›Full record

ArticlePloS one2014

Illumina TruSeq synthetic long-reads empower de novo assembly and resolve complex, highly-repetitive transposable elements.

Rajiv C McCoy, Ryan W Taylor, Timothy A Blauwkamp, Joanna L Kelley, Michael Kertesz, Dmitry Pushkarev, Dmitri A Petrov, Anna-Sophie Fiston-Lavier

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

106 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
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  6. Article
  7. Review
  8. Food science & nutrition · 2022
    Review
  9. Review
  10. Draft Genome Sequence of Arctic, Heavy Metal-ResistantMicrobiology resource announcements · 2022
    Article
  11. Review
  12. Review
  13. De Novo Assembly of Linked Reads Using Supernova 2.0.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Finding and Characterizing Repeats in Plant Genomes.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

46 more citing papers are in PubMed but not listed here.

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

8 authors.

Rajiv C McCoyDepartment of Biology, Stanford University, Stanford, California, United States of America.
Ryan W TaylorDepartment of Biology, Stanford University, Stanford, California, United States of America.
Timothy A BlauwkampIllumina Inc., San Diego, California, United States of America.
Joanna L KelleySchool of Biological Sciences, Washington State University, Pullman, Washington, United States of America.
Michael KerteszDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Dmitry PushkarevDepartment of Physics, Stanford University, Stanford, California, United States of America.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, California, United States of America.
Anna-Sophie Fiston-LavierDepartment of Biology, Stanford University, Stanford, California, United States of America; Institut des Sciences de l'Evolution-Montpellier, Montpellier, France.

Funding

Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Population Genomics of Adaptive Transposition in DrosophilaR01GM089926 · NIGMS · STANFORD UNIVERSITY · PI PETROV, DMITRI · 2010 to 2013
$969k
NIGMS NIH HHS R01 GM089926NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R01 GM100366
6 · The paper itself

Abstract

High-throughput DNA sequencing technologies have revolutionized genomic analysis, including the de novo assembly of whole genomes. Nevertheless, assembly of complex genomes remains challenging, in part due to the presence of dispersed repeats which introduce ambiguity during genome reconstruction. Transposable elements (TEs) can be particularly problematic, especially for TE families exhibiting high sequence identity, high copy number, or complex genomic arrangements. While TEs strongly affect genome function and evolution, most current de novo assembly approaches cannot resolve long, identical, and abundant families of TEs. Here, we applied a novel Illumina technology called TruSeq synthetic long-reads, which are generated through highly-parallel library preparation and local assembly of short read data and which achieve lengths of 1.5-18.5 Kbp with an extremely low error rate ([Formula: see text]0.03% per base). To test the utility of this technology, we sequenced and assembled the genome of the model organism Drosophila melanogaster (reference genome strain y; cn, bw, sp) achieving an N50 contig size of 69.7 Kbp and covering 96.9% of the euchromatic chromosome arms of the current reference genome. TruSeq synthetic long-read technology enables placement of individual TE copies in their proper genomic locations as well as accurate reconstruction of TE sequences. We entirely recovered and accurately placed 4,229 (77.8%) of the 5,434 annotated transposable elements with perfect identity to the current reference genome. As TEs are ubiquitous features of genomes of many species, TruSeq synthetic long-reads, and likely other methods that generate long-reads, offer a powerful approach to improve de novo assemblies of whole genomes.

Indexed as

AnimalsDNA Transposable ElementsDrosophila melanogasterGenomeHigh-Throughput Nucleotide SequencingDNA Transposable Elements

Identifiers

PMID25188499
PMCPMC4154752

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.