Zuzana Vejlupkova

The paper develops a machine learning framework to predict maize pollen fitness phenotypes using genomic and expression data, finding that expression specificity is a critical feature for accurate predictions.

The paper shows pollen fitness alleles in maize affect spatial inheritance patterns across ears, with non-Mendelian transmission trends observed in specific mutants.

The paper identifies 58 DNG target genes in maize pollen that are silenced in plant body tissues but expressed in pollen, revealing their role in pollen viability and function.