Zhengwen Liu

This study links host genetics, microbiome composition, and agronomic traits in tobacco using microbiome-wide association studies and genomic selection models to improve trait prediction.

The paper analyzes 1771 RNA-seq datasets from seven maize tissues to build a gene regulation atlas and link tissue-specific expression variation to agronomic traits.

This study presents a chromosome-scale genome assembly of Nicotiana tabacum, identifies genetic structure correlates, and builds a genotype-to-phenotype map for multiple traits using GenBank-scale data.