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Modelling of gene loss propensity in the pangenomes of three Brassica species suggests different mechanisms between polyploids and diploids.

Philipp Emanuel BayerArmin SchebenAgnieszka A GoliczYuxuan YuanSébastien FaureHueyTyng LeeHarmeet Singh ChawlaRobyn AndersonIan BancroftHarsh RamanYong Pyo LimSteven RobbensLixi JiangShengyi LiuMichael S BarkerMichael Eric SchranzXiaowu WangGraham J KingJoseph Chris PiresBoulos ChalhoubRod J SnowdonJacqueline BatleyDavid Edwards
Published in: Plant biotechnology journal (2021)
Plant genomes demonstrate significant presence/absence variation (PAV) within a species; however, the factors that lead to this variation have not been studied systematically in Brassica across diploids and polyploids. Here, we developed pangenomes of polyploid Brassica napus and its two diploid progenitor genomes B. rapa and B. oleracea to infer how PAV may differ between diploids and polyploids. Modelling of gene loss suggests that loss propensity is primarily associated with transposable elements in the diploids while in B. napus, gene loss propensity is associated with homoeologous recombination. We use these results to gain insights into the different causes of gene loss, both in diploids and following polyploidization, and pave the way for the application of machine learning methods to understanding the underlying biological and physical causes of gene presence/absence.
Keyphrases
  • genome wide identification
  • genome wide analysis
  • copy number
  • genome wide
  • physical activity
  • mental health
  • dna damage
  • deep learning
  • dna repair
  • genetic diversity