CV Summary
中文

Yupeng Zhang

张宇鹏

Assistant Research Fellow | Plant Epigenetics, Single-Cell Omics and Bioinformatics

Back to homepage

Research Projects

Nitrogen use efficiency in the Swedish Aspen collection SwAsp

2023 - 2026

  • Completed high-throughput phenotyping for 336 individuals covering 112 genotypes from 12 provenances on the Wallenberg phenotyping platform at UPSC.
  • Measured biomass traits including plant height, stem diameter, and dry weight of leaf, stem, and root tissues.
  • Analyzed nitrogen metabolism traits including tissue nitrogen content.
  • Performed GWAS based on approximately 6 million SNPs using mixed linear models with population structure correction and latitude as a covariate.
  • Conducted functional validation through 15N uptake experiments and grafting assays.

Epigenetics of defense priming and climatic adaptation in Fragaria vesca

2018 - 2023

  • Investigated flowering time and stolon production differences in diploid Fragaria vesca ecotypes produced through asexual and sexual reproduction under different temperature conditions.
  • Generated transcriptome and methylome datasets and identified differentially expressed genes and differentially methylated genes.
  • Performed functional analysis and network analysis of differentially regulated genes.
  • Conducted EWAS, meQTL, and methylation polymorphism analyses across multiple ecotypes from different latitudes.

Mechanistic study of the soybean maturity gene E1

2014 - 2016

  • Analyzed transcriptome differences between E1 overexpression plants and wild type, followed by qPCR validation.
  • Validated small RNA-seq and long non-coding RNA sequencing results.
  • Compared expression patterns of differentially expressed genes across tissues, stages, and soybean varieties.
  • Constructed Arabidopsis overexpression lines for the putative photoperiod pathway gene GmSPL3b.

Methods and Analysis

  • WGBS and DNA methylation analysis, including DMR calling, methylome profiling, and temperature-associated epigenetic variation.
  • GWAS and EWAS workflows from genotype or methylation QC through association testing and interpretation.
  • RNA-seq, scRNA-seq and snRNA-seq analysis, including clustering, differential expression, and multi-omics integration.
  • Visualization using Manhattan plots, Q-Q plots, Circos, ComplexHeatmap, ggplot2, and CMplot.