Miriam Schreiber

This study identifies cytokinin as a regulator of gravitropic setpoint angles in seminal roots of barley and wheat through transcriptomic and functional analyses.

The paper links structural variation to regulatory genome function in barley by analyzing epigenomic data across multiple genotypes and developmental contexts.

This study identifies and characterizes 13 HvHMA genes in barley, revealing their diverse expression patterns and functional roles beyond heavy metal homeostasis.

This study identifies and characterizes the thionin gene family in barley, revealing chromosomal clustering, copy number variation, and a role in aphid defense.

The paper performs whole genome sequencing on 344 grasspea lines to discover SNPs, providing a resource for marker development and trait gene identification.

This study uses environmental DNA from Lake Tjornin to challenge the narrative of Norse-induced environmental collapse in Reykjavik, showing dynamic human-environment interactions shaped by both cultural practices and external stressors.

This study identifies HvBDG1 as a gene essential for barley cuticular integrity and wax bloom, showing its interaction with SHINE transcription factors in cuticle development and revealing NUD's broader role beyond grain-specific functions.

The paper identifies MKK3 haplotypes in barley that influence seed dormancy and end-use traits through post-domestication selection, linking them to climate adaptation.

This study presents a barley pangenome revealing structural variation linked to traits like disease resistance and plant architecture, highlighting its role in adaptive evolution.

The paper analyzes RNA-seq data from barley anthers and meiocytes to show that gene expression changes are most significant at meiosis entry, with lncRNAs being downregulated and only 24% of meiotic gene orthologues showing differential expression.

The paper presents a high-quality genome assembly for the barley cultivar Golden Promise, useful for genetic research and CRISPR-Cas9 experiments.

The paper develops BaRTv1.0, a high-quality barley reference transcript dataset, enabling accurate RNA-seq analysis of gene expression and alternative splicing.