Using reciprocally retained gene families to detect whole-genome multiplications in plants
Tasdighian, S.; Sensalari, C.; Maere, S.
Show abstract
Traces of ancient whole-genome multiplications (WGMs) have been observed all over the plant kingdom and have been associated with various evolutionary processes, such as increased evolvability, speciation, adaptation to changing environments, domestication and the origin of evolutionary novelties. However, understanding the impact of WGMs on plant evolution requires accurate detection of WGM events, which is challenging because of rapid signal erosion due to genome rearrangements, sequence divergence and the occurrence of additional large- and small-scale duplications (SSDs). Here, we investigate whether reciprocally retained gene families (RR GFs), i.e. GFs that preferentially expand through WGM and rarely undergo SSDs, can be used as WGM markers. Using stochastic birth-death (BD) modeling of GF gene count data to test for WGM presence or absence, we demonstrate that strongly RR GFs have higher power to detect true WGMs and to reject false WGMs than non-RR GFs. However, none of the RR GFs is a perfect WGM marker on its own, and different GFs perform better in different plant clades, prohibiting the use of a fixed small set of RR GFs as WGM markers across all angiosperms. Instead, we show that using an extended set of RR GFs rather than whole paranomes as input for BD and KS distribution modeling approaches leads to improved WGM detection performance.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Perfect Storm: Gene Tree Estimation Error, Incomplete Lineage Sorting, and Ancient Gene Flow Explain the Most Recalcitrant Ancient Angiosperm Clade, Malpighiales 97%
- Improved robustness to gene tree incompleteness, estimation errors, and systematic homology errors with weighted TREE-QMC 97%
- Towards reliable detection of introgression in the presence of among-species rate variation 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.