bioRxivBioinformatics
Ancestral gene synteny reconstruction improves extant species scaffolding
Yoann Anselmetti, Vincent Berry, Cedric Chauve, Annie Chateau, Eric Tannier, Severine Berard
Abstract
We exploit the methodological similarity between ancestral genome reconstruction and extant genome scaffolding. We present a method, called ARO_SCPCAPTC_SCPCAP-DO_SCPCAPEC_SCPCAPCO_SCPCAPOC_SCPCAP that constructs neighborhood relationships between genes or contigs, in both ancestral and extant genomes, in a phylogenetic context. It is able to handle dozens of complete genomes, including genes with complex histories, by using gene phylogenies reconciled with a species tree, that is, annotated with speciation, duplication and loss events. Reconstructed ancestral or extant synteny comes with a support computed from an exhaustive exploration of the solution space. We compare our method with a previously published one that follows the same goal on a small number of genomes with universal unicopy genes. Then we test it on the whole Ensembl database, by proposing partial ancestral genome structures, as well as a more complete scaffolding for many partially assembled genomes on 69 eukaryote species. We carefully analyze a couple of extant adjacencies proposed by our method, and show that they are indeed real links in the extant genomes, that were missing in the current assembly. On a reduced data set of 39 eutherian mammals, we estimate the precision and sensitivity of ARO_SCPCAPTC_SCPCAP-DO_SCPCAPEC_SCPCAPCO_SCPCAPOC_SCPCAP by simulating a fragmentation in some well assembled genomes, and measure how many adjacencies are recovered. We find a very high precision, while the sensitivity depends on the quality of the data and on the proximity of closely related genomes.
- organism: human
- organism: mouse
- organism: rat
- assay: whole-genome sequencing
- research focus: clustering
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
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