Evidence map›Paper›PMID 21685079›Full record

ArticleBioinformatics (Oxford, England)2011

Mapping ancestral genomes with massive gene loss: a matrix sandwich problem.

Haris Gavranović, Cedric Chauve, Jérôme Salse, Eric Tannier

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Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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3 · Its place in the literature

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5 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Haris GavranovićFaculty of Natural Sciences, University of Sarajevo, Bosnia and Herzegovina. haris.gavranovic@gmail.com
Cedric Chauve
Jérôme Salse
Eric Tannier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationAncestral genomes provide a better way to understand the structural evolution of genomes than the simple comparison of extant genomes. Most ancestral genome reconstruction methods rely on universal markers, that is, homologous families of DNA segments present in exactly one exemplar in every considered species. Complex histories of genes or other markers, undergoing duplications and losses, are rarely taken into account. It follows that some ancestors are inaccessible by these methods, such as the proto-monocotyledon whose evolution involved massive gene loss following a whole genome duplication.

resultsWe propose a mapping approach based on the combinatorial notion of 'sandwich consecutive ones matrix', which explicitly takes gene losses into account. We introduce combinatorial optimization problems related to this concept, and propose a heuristic solver and a lower bound on the optimal solution. We use these results to propose a configuration for the proto-chromosomes of the monocot ancestor, and study the accuracy of this configuration. We also use our method to reconstruct the ancestral boreoeutherian genomes, which illustrates that the framework we propose is not specific to plant paleogenomics but is adapted to reconstruct any ancestral genome from extant genomes with heterogeneous marker content. AVAILABILITY: Upon request to the authors. CONTACT: haris.gavranovic@gmail.com; eric.tannier@inria.fr.

Indexed as

Evolution, MolecularGenomeAnimalsBiological EvolutionHumansMagnoliopsidaMammals

Identifiers

PMID21685079
PMCPMC3117370

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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.