Evidence map›Paper›PMID 19892826›Full record

ArticleNucleic acids research2010

An integrated pipeline for next-generation sequencing and annotation of mitochondrial genomes.

Aaron R Jex, Ross S Hall, D Timothy J Littlewood, Robin B Gasser

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A revision of the trichostrongylid nematodeFrontiers in veterinary science · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. International journal for parasitology. Parasites and wildlife · 2022
    Article
  11. Molecular detection ofJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
    Article
  12. The Mitochondrial Genome ofAnimals : an open access journal from MDPI · 2022
    Article
  13. Article
  14. Article
  15. Genome annotation of disease-causing microorganisms.Briefings in bioinformatics · 2021
    Review
  16. Article
  17. Article
  18. Complete mitochondrial genome of theMitochondrial DNA. Part B, Resources · 2021
    Article
  19. Complete mitochondrial DNA sequence of theBiodiversity data journal · 2021
    Article
  20. Article

8 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

4 authors.

Aaron R JexDepartment of Veterinary Science, The University of Melbourne, Victoria 3030, Australia. ajex@unimelb.edu.au
Ross S Hall
D Timothy J Littlewood
Robin B Gasser

Funding

Biotechnology and Biological Sciences Research Council BB/H023534/1
6 · The paper itself

Abstract

Mitochondrial (mt) genomics represents an understudied but important field of molecular biology. Increasingly, mt dysfunction is being linked to a range of human diseases, including neurodegenerative disorders, diabetes and impairment of childhood development. In addition, mt genomes provide important markers for systematic, evolutionary and population genetic studies. Some technological limitations have prevented the expanded generation and utilization of mt genomic data for some groups of organisms. These obstacles most acutely impede, but are not limited to, studies requiring the determination of complete mt genomic data from minute amounts of material (e.g. biopsy samples or microscopic organisms). Furthermore, post-sequencing bioinformatic annotation and analyses of mt genomes are time consuming and inefficient. Herein, we describe a high-throughput sequencing and bioinformatic pipeline for mt genomics, which will have implications for the annotation and analysis of other organellar (e.g. plastid or apicoplast genomes) and virus genomes as well as long, contiguous regions in nuclear genomes. We utilize this pipeline to sequence and annotate the complete mt genomes of 12 species of parasitic nematode (order Strongylida) simultaneously, each from an individual organism. These mt genomic data provide a rich source of markers for studies of the systematics and population genetics of a group of socioeconomically important pathogens of humans and other animals.

Indexed as

Genome, MitochondrialAnimalsConsensus SequenceGenome, HelminthGenomicsPhylogenyPolymerase Chain ReactionSequence Analysis, DNASequence Analysis, ProteinStrongylida

Identifiers

PMID19892826
PMCPMC2811008

What OpenQuestion holds

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LicenceCC BY-NC
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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.