Beibei Liu

The paper uses machine learning to identify recombination rate and chromatin environment as key factors influencing subgenome divergence in polyploid species like maize and Brassica.

This study uses long-read genome assemblies from maize to develop a new method for detecting selection on transposable elements, identifying factors like gene distance and DNA methylation levels that influence TE selection.

The paper compares genome fractionation patterns in maize and its wild relatives, finding distinct subgenome retention and gene loss trends between species.

This study examines transcriptomic and epigenetic responses in soybean lines resistant and susceptible to Phytophthora sansomeana, identifying key genes and regulatory mechanisms involved in defense.

The paper shows hybridization in maize triggers global changes in trans-chromosomal methylation and demethylation, which can be maintained in subsequent generations, independent of Mop1 function.