Evidence map›Paper›PMID 25658309›Full record

ArticlePloS one2015

Are differences in genomic data sets due to true biological variants or errors in genome assembly: an example from two chloroplast genomes.

Zhiqiang Wu, Luke R Tembrock, Song Ge

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Complete Chloroplast Genome and the Phylogenetic Analysis ofInternational journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. The Complete Chloroplast Genome and the Phylogenetic Analysis ofInternational journal of molecular sciences · 2025
    Article
  8. Article
  9. Comparative Analysis of Whole Chloroplast Genomes of Three Common Species ofInternational journal of molecular sciences · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Comparative Analyses of Five Complete Chloroplast Genomes from the GenusInternational journal of molecular sciences · 2020
    Article
  15. Article
  16. Article
  17. Comparative Chloroplast Genomics of EndangeredPlants (Basel, Switzerland) · 2020
    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

3 authors.

Zhiqiang WuState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America.
Luke R TembrockDepartment of Biology, Colorado State University, Fort Collins, Colorado, United States of America.
Song GeState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA sequencing has been revolutionized by the development of high-throughput sequencing technologies. Plummeting costs and the massive throughput capacities of second and third generation sequencing platforms have transformed many fields of biological research. Concurrently, new data processing pipelines made rapid de novo genome assemblies possible. However, high quality data are critically important for all investigations in the genomic era. We used chloroplast genomes of one Oryza species (O. australiensis) to compare differences in sequence quality: one genome (GU592209) was obtained through Illumina sequencing and reference-guided assembly and the other genome (KJ830774) was obtained via target enrichment libraries and shotgun sequencing. Based on the whole genome alignment, GU592209 was more similar to the reference genome (O. sativa: AY522330) with 99.2% sequence identity (SI value) compared with the 98.8% SI values in the KJ830774 genome; whereas the opposite result was obtained when the SI values in coding and noncoding regions of GU592209 and KJ830774 were compared. Additionally, the junctions of two single copies and repeat copies in the chloroplast genome exhibited differences. Phylogenetic analyses were conducted using these sequences, and the different data sets yielded dissimilar topologies: phylogenetic replacements of the two individuals were remarkably different based on whole genome sequencing or SNP data and insertions and deletions (indels) data. Thus, we concluded that the genomic composition of GU592209 was heterogeneous in coding and non-coding regions. These findings should impel biologists to carefully consider the quality of sequencing and assembly when working with next-generation data.

Indexed as

Datasets as TopicGenome, ChloroplastGenomicsGenetic VariationHigh-Throughput Nucleotide SequencingOryzaPhylogeny

Identifiers

PMID25658309
PMCPMC4320078

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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.