Evidence map›Paper›PMID 29385572›Full record

ArticleGenome biology and evolution2018

Illumina Library Preparation for Sequencing the GC-Rich Fraction of Heterogeneous Genomic DNA.

Marie-Ka Tilak, Fidel Botero-Castro, Nicolas Galtier, Benoit Nabholz

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 45 citations in OpenAlex.

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  8. Sequencing Strategy to Ensure Accurate Plasmid Assembly.bioRxiv : the preprint server for biology · 2024
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  17. A high-density genetic map and molecular sex-typing assay for gerbils.Mammalian genome : official journal of the International Mammalian Genome Society · 2019
    Article
  18. 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 at 1 institution in 1 country.

Marie-Ka TilakInstitut des Sciences de l'Evolution, ISEM, Université de Montellier, CNRS, IRD, EPHE, France.
Fidel Botero-CastroInstitut des Sciences de l'Evolution, ISEM, Université de Montellier, CNRS, IRD, EPHE, France.
Nicolas GaltierInstitut des Sciences de l'Evolution, ISEM, Université de Montellier, CNRS, IRD, EPHE, France.
Benoit NabholzInstitut des Sciences de l'Evolution, ISEM, Université de Montellier, CNRS, IRD, EPHE, France.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standard Illumina libraries are biased toward sequences of intermediate GC-content. This results in an underrepresentation of GC-rich regions in sequencing projects of genomes with heterogeneous base composition, such as mammals and birds. We developed a simple, cost-effective protocol to enrich sheared genomic DNA in its GC-rich fraction by subtracting AT-rich DNA. This was achieved by heating DNA up to 90 °C before applying Illumina library preparation. We tested the new approach on chicken DNA and found that heated DNA increased average coverage in the GC-richest chromosomes by a factor up to six. Using a Taq polymerase supposedly appropriate for PCR amplification of GC-rich sequences had a much weaker effect. Our protocol should greatly facilitate sequencing and resequencing of the GC-richest regions of heterogeneous genomes, in combination with standard short-read and long-read technologies.

Indexed as

GC Rich SequenceGene LibraryAnimalsChickensDNAGenomicsHigh-Throughput Nucleotide SequencingHot TemperaturePolymerase Chain ReactionSequence Analysis, DNADNAbirdGC contentGC enrichmenthigh-throughput sequencing

Identifiers

PMID29385572
PMCPMC5808798
OpenAlexW2791000034

What OpenQuestion holds

Textmetadata
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.