Evidence map›Paper›PMID 17359539›Full record

ArticleBMC evolutionary biology2007

Incorporating indel information into phylogeny estimation for rapidly emerging pathogens.

Benjamin D Redelings, Marc A Suchard

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
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  5. Review
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  8. Article
  9. Correlations between alignment gaps and nucleotide substitution or amino acid replacement.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Machine Boss: rapid prototyping of bioinformatic automata.Bioinformatics (Oxford, England) · 2021
    Article
  11. Article
  12. Article
  13. Revisiting Evaluation of Multiple Sequence Alignment Methods.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Endolysins from AntarcticMarine drugs · 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

2 authors.

Benjamin D RedelingsBioinformatics Research Center, North Carolina State University, Raleigh, NC 27606, USA. benjamin_redelings@ncsu.edu <benjamin_redelings@ncsu.edu>
Marc A Suchard

Funding

Systems in Integrative BiologyT32GM008185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 1987 to 2022
$4.6M
Statistical, Computational, and Genetic Analysis of HIVR01GM068955 · NIGMS · IOWA STATE UNIVERSITY · PI DORMAN, KARIN S · 2003 to 2006
$946k
NIGMS NIH HHS GM008185NIGMS NIH HHS GM068955NIGMS NIH HHS R01 GM068955NIGMS NIH HHS T32 GM008185
6 · The paper itself

Abstract

backgroundPhylogenies of rapidly evolving pathogens can be difficult to resolve because of the small number of substitutions that accumulate in the short times since divergence. To improve resolution of such phylogenies we propose using insertion and deletion (indel) information in addition to substitution information. We accomplish this through joint estimation of alignment and phylogeny in a Bayesian framework, drawing inference using Markov chain Monte Carlo. Joint estimation of alignment and phylogeny sidesteps biases that stem from conditioning on a single alignment by taking into account the ensemble of near-optimal alignments.

resultsWe introduce a novel Markov chain transition kernel that improves computational efficiency by proposing non-local topology rearrangements and by block sampling alignment and topology parameters. In addition, we extend our previous indel model to increase biological realism by placing indels preferentially on longer branches. We demonstrate the ability of indel information to increase phylogenetic resolution in examples drawn from within-host viral sequence samples. We also demonstrate the importance of taking alignment uncertainty into account when using such information. Finally, we show that codon-based substitution models can significantly affect alignment quality and phylogenetic inference by unrealistically forcing indels to begin and end between codons.

conclusionThese results indicate that indel information can improve phylogenetic resolution of recently diverged pathogens and that alignment uncertainty should be considered in such analyses.

Indexed as

Frameshift MutationGenes, ViralModels, GeneticPhylogenyBase SequenceBayes TheoremCodon, TerminatorHIV-1Markov ChainsSequence AlignmentSimian Immunodeficiency VirusCodon, Terminator

Identifiers

PMID17359539
PMCPMC1853084

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Registered trials

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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.