Punna Ramu

The paper presents a population-based transcriptomics atlas of cassava, identifying differentially expressed genes and gene modules related to disease resistance and physiological traits.

This paper introduces a sorghum Practical Haplotype Graph (PHG) that enables accurate SNP calling and imputation from low-coverage sequencing data, improving genomic prediction accuracy and reducing genotyping costs.

The paper identifies beneficial introgressed alleles from M. glaziovii in modern cassava germplasm, showing they improve traits like yield and disease tolerance and are under balancing selection.

This paper identifies genetic markers for dry matter and carotenoid content in cassava, finding physical linkage rather than pleiotropy explains their negative correlation.

The paper constructs a cassava haplotype map to evaluate deleterious mutations, finding increased fixed deleterious variants, limited purging due to low recombination, and masking of harmful mutations in breeding.

This study identifies genetic loci associated with cassava mosaic disease resistance using genome-wide association and genomic prediction, revealing a major region and multiple smaller effect regions.