Evidence map›Paper›PMID 34348661›Full record

ArticleBMC bioinformatics2021

Maximum parsimony reconciliation in the DTLOR model.

Jingyi Liu, Ross Mawhorter, Nuo Liu, Santi Santichaivekin, Eliot Bush, Ran Libeskind-Hadas

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

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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

2 citing papers in PubMed, 2 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Jingyi LiuDepartment of Computer Science, Harvey Mudd College, Claremont, CA, USA.
Ross MawhorterDepartment of Computer Science and Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Nuo LiuDepartment of Computer Science, Harvey Mudd College, Claremont, CA, USA.
Santi SantichaivekinDepartment of Computer Science, Harvey Mudd College, Claremont, CA, USA.
Eliot BushDepartment of Biology, Harvey Mudd College, Claremont, CA, USA.
Ran Libeskind-HadasDepartment of Computer Science, Harvey Mudd College, Claremont, CA, USA. hadas@cs.hmc.edu.
Harvey Mudd College · USUniversity of California, Santa Cruz · US

Funding

National Science Foundation IIS-1905885
6 · The paper itself

Abstract

backgroundAnalyses of microbial evolution often use reconciliation methods. However, the standard duplication-transfer-loss (DTL) model does not account for the fact that species trees are often not fully sampled and thus, from the perspective of reconciliation, a gene family may enter the species tree from the outside. Moreover, within the genome, genes are often rearranged, causing them to move to new syntenic regions.

resultsWe extend the DTL model to account for two events that commonly arise in the evolution of microbes: origin of a gene from outside the sampled species tree and rearrangement of gene syntenic regions. We describe an efficient algorithm for maximum parsimony reconciliation in this new DTLOR model and then show how it can be extended to account for non-binary gene trees to handle uncertainty in gene tree topologies. Finally, we describe preliminary experimental results from the integration of our algorithm into the existing xenoGI tool for reconstructing the histories of genomic islands in closely related bacteria.

conclusionsReconciliation in the DTLOR model can offer new insights into the evolution of microbes that is not currently possible under the DTL model.

Indexed as

Evolution, MolecularGene DuplicationAlgorithmsGenomeModels, GeneticPhylogenyMaximum parsimony reconciliationMicrobial evolutionPhylogenetic trees

Identifiers

PMID34348661
PMCPMC8340394
OpenAlexW3191218255

What OpenQuestion holds

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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.