Unknown

Dataset Information

0

PSONIC: Ploidy-aware Syntenic Orthologous Networks Identified via Collinearity.


ABSTRACT: With the rapid rise in availability of high-quality genomes for closely related species, methods for orthology inference that incorporate synteny are increasingly useful. Polyploidy perturbs the 1:1 expected frequencies of orthologs between two species, complicating the identification of orthologs. Here we present a method of ortholog inference, Ploidy-aware Syntenic Orthologous Networks Identified via Collinearity (pSONIC). We demonstrate the utility of pSONIC using four species in the cotton tribe (Gossypieae), including one allopolyploid, and place between 75% and 90% of genes from each species into nearly 32,000 orthologous groups, 97% of which consist of at most singletons or tandemly duplicated genes-58.8% more than comparable methods that do not incorporate synteny. We show that 99% of singleton gene groups follow the expected tree topology and that our ploidy-aware algorithm recovers 97.5% identical groups when compared to splitting the allopolyploid into its two respective subgenomes, treating each as separate "species."

SUBMITTER: Conover JL 

PROVIDER: S-EPMC8496325 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

pSONIC: Ploidy-aware Syntenic Orthologous Networks Identified via Collinearity.

Conover Justin L JL   Sharbrough Joel J   Wendel Jonathan F JF  

G3 (Bethesda, Md.) 20210801 8


With the rapid rise in availability of high-quality genomes for closely related species, methods for orthology inference that incorporate synteny are increasingly useful. Polyploidy perturbs the 1:1 expected frequencies of orthologs between two species, complicating the identification of orthologs. Here we present a method of ortholog inference, Ploidy-aware Syntenic Orthologous Networks Identified via Collinearity (pSONIC). We demonstrate the utility of pSONIC using four species in the cotton t  ...[more]

Similar Datasets

| S-EPMC4765882 | biostudies-literature
| S-EPMC3350440 | biostudies-literature
| S-EPMC7645761 | biostudies-literature
| S-EPMC10014611 | biostudies-literature
| S-EPMC9170855 | biostudies-literature
| S-EPMC9295985 | biostudies-literature
| S-EPMC11323192 | biostudies-literature
| S-EPMC10046116 | biostudies-literature
| S-EPMC8102145 | biostudies-literature
| S-EPMC9104700 | biostudies-literature