Evidence map›Paper›PMID 18714389›Full record

ArticlePloS one2008

Distilling artificial recombinants from large sets of complete mtDNA genomes.

Qing-Peng Kong, Antonio Salas, Chang Sun, Noriyuki Fuku, Masashi Tanaka, Li Zhong, Cheng-Ye Wang, Yong-Gang Yao, Hans-Jürgen Bandelt

Abstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Whole Mitochondrial DNA Sequencing Analysis in 47 Han Populations in Southwest China.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Mitochondrial genome evidence reveals successful Late Paleolithic settlement on the Tibetan Plateau.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  17. mtDNA data mining in GenBank needs surveying.American journal of human genetics · 2009
    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

9 authors.

Qing-Peng KongState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Antonio Salas
Chang Sun
Noriyuki Fuku
Masashi Tanaka
Li Zhong
Cheng-Ye Wang
Yong-Gang Yao
Hans-Jürgen Bandelt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge-scale genome sequencing poses enormous problems to the logistics of laboratory work and data handling. When numerous fragments of different genomes are PCR amplified and sequenced in a laboratory, there is a high imminent risk of sample confusion. For genetic markers, such as mitochondrial DNA (mtDNA), which are free of natural recombination, single instances of sample mix-up involving different branches of the mtDNA phylogeny would give rise to reticulate patterns and should therefore be detectable. METHODOLOGY/PRINCIPAL

findingsWe have developed a strategy for comparing new complete mtDNA genomes, one by one, to a current skeleton of the worldwide mtDNA phylogeny. The mutations distinguishing the reference sequence from a putative recombinant sequence can then be allocated to two or more different branches of this phylogenetic skeleton. Thus, one would search for two (or three) near-matches in the total mtDNA database that together best explain the variation seen in the recombinants. The evolutionary pathway from the mtDNA tree connecting this pair together with the recombinant then generate a grid-like median network, from which one can read off the exchanged segments.

conclusionsWe have applied this procedure to a large collection of complete human mtDNA sequences, where several recombinants could be distilled by our method. All these recombinant sequences were subsequently corrected by de novo experiments--fully concordant with the predictions from our data-analytical approach.

Indexed as

GenomeDNA, MitochondrialDNA, RecombinantEvolution, MolecularExtrachromosomal InheritanceMutationSequence Analysis, DNADNA, MitochondrialDNA, Recombinant

Identifiers

PMID18714389
PMCPMC2515346

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.