Yanjun Zan

This study identifies QTLs associated with leaf width and its plasticity in tobacco and develops a GEAI model for cross-environment prediction, improving accuracy by 8.7%.

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 identifies genetic and transcriptomic variations in photosynthesis-related genes across Arabidopsis thaliana populations and links them to adaptive trait variation.

The paper develops a SNP array panel for Salix suchowensis to improve genotyping and identifies SNPs associated with growth traits.

EasyOmics provides a user-friendly R Shiny interface for population-scale omics data association, integration, and visualization without requiring advanced programming skills.

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.

The paper identifies polygenic basis and environmental interactions underlying rapid flowering time response in Arabidopsis thaliana across diverse environments.

This paper introduces a bivariate GWAS approach to uncover hidden genetic loci in Arabidopsis thaliana by addressing population stratification and identifies a pleiotropic gene affecting flowering time and maturation.

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.

This study identifies QTLs and genetic factors influencing phenotypic plasticity in maize traits across different environments, improving prediction accuracy for key agronomic traits.

This study de novo assembles high-quality genomes of 38 Arabidopsis thaliana ecotypes using long-read sequencing, identifies new genes and structural variations linked to local adaptation, and highlights the role of SVs in environmental adaptation.

This study uses low-coverage sequencing across multiple generations of a chicken intercross to identify novel minor-effect QTL contributing to body weight, increasing power and explaining more phenotypic variance.

The paper describes a method for high-resolution genotype imputation in outbred intercrosses using low-coverage whole-genome sequencing and evaluates it in a chicken F2 pedigree.

The paper examines how environmental changes affect genetic interaction networks in yeast, showing that hub loci modulate phenotypic effects depending on environmental context.

The paper evaluates the prevalence of high-order linkage disequilibrium as an explanation for statistical epistasis in genome-wide association studies using A. thaliana data.

This study investigates how 48 flowering time loci contribute to genetic differences among Arabidopsis thaliana subpopulations across ecological habitats, revealing polygenic adaptation and gene-by-temperature interactions.

The paper investigates the genetic architecture of long-term selection responses in Virginia chicken lines, identifying multiple loci and genetic mechanisms contributing to body weight variation.

This study maps eQTLs in natural Arabidopsis thaliana accessions and identifies structural variants contributing to transcriptional variation.