Evidence map›Paper›PMID 32299356›Full record

ArticleBMC genomics2020

Analysis of local genome rearrangement improves resolution of ancestral genomic maps in plants.

Diego P Rubert, Fábio V Martinez, Jens Stoye, Daniel Doerr

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Computing the Rearrangement Distance of Natural Genomes.Journal of computational biology : a journal of computational molecular cell biology · 2021
    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

4 authors at 1 institution in 2 countries.

Diego P RubertFaculdade de Computação - FACOM, Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande, Brazil.
Fábio V MartinezFaculdade de Computação - FACOM, Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande, Brazil.
Jens StoyeFaculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Daniel DoerrFaculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany. ddoerr@cebitec.uni-bielefeld.de.
Bielefeld University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputationally inferred ancestral genomes play an important role in many areas of genome research. We present an improved workflow for the reconstruction from highly diverged genomes such as those of plants.

resultsOur work relies on an established workflow in the reconstruction of ancestral plants, but improves several steps of this process. Instead of using gene annotations for inferring the genome content of the ancestral sequence, we identify genomic markers through a process called genome segmentation. This enables us to reconstruct the ancestral genome from hundreds of thousands of markers rather than the tens of thousands of annotated genes. We also introduce the concept of local genome rearrangement, through which we refine syntenic blocks before they are used in the reconstruction of contiguous ancestral regions. With the enhanced workflow at hand, we reconstruct the ancestral genome of eudicots, a major sub-clade of flowering plants, using whole genome sequences of five modern plants.

conclusionsOur reconstructed genome is highly detailed, yet its layout agrees well with that reported in Badouin et al. (2017). Using local genome rearrangement, not only the marker-based, but also the gene-based reconstruction of the eudicot ancestor exhibited increased genome content, evidencing the power of this novel concept.

Indexed as

Chromosome MappingComputer SimulationEvolution, MolecularGene OrderGenome, PlantGenomicsMagnoliopsidaModels, GeneticPhylogenySyntenyAncestral genome reconstructioncomparative genomicsEudicot phylogenyLocal genome rearrangement

Identifiers

PMID32299356
PMCPMC7160886
OpenAlexW3016516178

What OpenQuestion holds

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LicenceCC BY
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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.