Evidence map›Paper›PMID 28149701›Full record

ArticlePeerJ2017

RelocaTE2: a high resolution transposable element insertion site mapping tool for population resequencing.

Jinfeng Chen, Travis R Wrightsman, Susan R Wessler, Jason E Stajich

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.1field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Horticulture research · 2026
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  11. Finding and Characterizing Repeats in Plant Genomes.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Comprehensive survey of transposonFrontiers in plant science · 2022
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  16. Genomic diversity generated by a transposable element burst in a rice recombinant inbred population.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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.

Jinfeng ChenDepartment of Plant Pathology & Microbiology, University of California, Riverside, CA, United States; Institute for Integrative Genome Biology, University of California, Riverside, CA, United States; Department of Botany and Plant Sciences, University of California, Riverside, CA, United States.
Travis R WrightsmanDepartment of Botany and Plant Sciences, University of California , Riverside , CA , United States.
Susan R WesslerInstitute for Integrative Genome Biology, University of California, Riverside, CA, United States; Department of Botany and Plant Sciences, University of California, Riverside, CA, United States.
Jason E StajichDepartment of Plant Pathology & Microbiology, University of California, Riverside, CA, United States; Institute for Integrative Genome Biology, University of California, Riverside, CA, United States.
University of California, Riverside · US

Funding

Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
NIH HHS S10 OD016290
6 · The paper itself

Abstract

backgroundTransposable element (TE) polymorphisms are important components of population genetic variation. The functional impacts of TEs in gene regulation and generating genetic diversity have been observed in multiple species, but the frequency and magnitude of TE variation is under appreciated. Inexpensive and deep sequencing technology has made it affordable to apply population genetic methods to whole genomes with methods that identify single nucleotide and insertion/deletion polymorphisms. However, identifying TE polymorphisms, particularly transposition events or non-reference insertion sites can be challenging due to the repetitive nature of these sequences, which hamper both the sensitivity and specificity of analysis tools.

methodsWe have developed the tool RelocaTE2 for identification of TE insertion sites at high sensitivity and specificity. RelocaTE2 searches for known TE sequences in whole genome sequencing reads from second generation sequencing platforms such as Illumina. These sequence reads are used as seeds to pinpoint chromosome locations where TEs have transposed. RelocaTE2 detects target site duplication (TSD) of TE insertions allowing it to report TE polymorphism loci with single base pair precision. RESULTS AND DISCUSSION: The performance of RelocaTE2 is evaluated using both simulated and real sequence data. RelocaTE2 demonstrate high level of sensitivity and specificity, particularly when the sequence coverage is not shallow. In comparison to other tools tested, RelocaTE2 achieves the best balance between sensitivity and specificity. In particular, RelocaTE2 performs best in prediction of TSDs for TE insertions. Even in highly repetitive regions, such as those tested on rice chromosome 4, RelocaTE2 is able to report up to 95% of simulated TE insertions with less than 0.1% false positive rate using 10-fold genome coverage resequencing data. RelocaTE2 provides a robust solution to identify TE insertion sites and can be incorporated into analysis workflows in support of describing the complete genotype from light coverage genome sequencing.

Indexed as

AnnotationBioinformaticsDiversityParallel processingPopulation genomicsResequencingRiceShort readTransposons

Identifiers

PMID28149701
PMCPMC5274521
OpenAlexW2531715486

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.