Zhongjie Liu

This study uses genome and transcriptomic analyses of oat species to show that polyploidy creates functional redundancy, buffering mutations but hindering beneficial allele fixation, and proposes breeding strategies to overcome these challenges.

This study uses deep learning and genome-wide association studies to identify pest-resistant genes in grapevine, achieving high accuracy in predicting pest damage.

This study examines hemizygous genes in 22 crop genomes, finding higher hemizygosity in clonal lineages and distinct expression and epigenetic features compared to diploid genes.

This study presents haplotype-resolved genome assemblies for two Munage grapevine cultivars, identifies genes associated with fruit color traits, and highlights adaptive selection in ancient grapevines.

This study identifies the polygenic basis of seedlessness in grapevines using integrative genomics, revealing key genes and a machine learning model with 99% prediction accuracy.

The paper analyzes gene structure, intron/exon characteristics, and gene expression in strawberry chromosomes, finding correlations between gene length, intron count, and genomic location.