| Literature DB >> 33606106 |
David Schaller1,2, Manuela Geiß3, Peter F Stadler1,4,5,6,7, Marc Hellmuth8.
Abstract
Genome-scale orthology assignments are usually based on reciprocal best matches. In the absence of horizontal gene transfer (HGT), every pair of orthologs forms a reciprocal best match. Incorrect orthology assignments therefore are always false positives in the reciprocal best match graph. We consider duplication/loss scenarios and characterize unambiguous false-positive (u-fp) orthology assignments, that is, edges in the best match graphs (BMGs) that cannot correspond to orthologs for any gene tree that explains the BMG. Moreover, we provide a polynomial-time algorithm to identify all u-fp orthology assignments in a BMG. Simulations show that at least [Formula: see text] of all incorrect orthology assignments can be detected in this manner. All results rely only on the structure of the BMGs and not on any a priori knowledge about underlying gene or species trees.Entities:
Keywords: Best matches; Cograph; Colored graphs; Orthology detection; Polynomial-time algorithm; Tree reconciliation; Unambiguous orthologs
Mesh:
Year: 2021 PMID: 33606106 PMCID: PMC7894253 DOI: 10.1007/s00285-021-01564-8
Source DB: PubMed Journal: J Math Biol ISSN: 0303-6812 Impact factor: 2.259