Whilst Cassava (Manihot esculenta) is one of the most important starchy root crops in the tropics, its genome biology is rarely studied using advanced tools for detecting phenotype impacting Single Nucleotide Polymorphisms (SNPs), genes and molecular pathways.
Synomics applied a combination of a proprietary technology platform and deep industry experience to identify predictive SNPs for Cassava Mosaic Disease (CMD) resistance. The aim was to understand whether our platform could identify novel insight that could improve disease resistance and help support food security in developing and under-developed parts of the world where the crop is a staple part of their diet.
Genotype and phenotype datasets were analysed in Synomics’ proprietary platform, identifying high-order combinations of SNPs (including epistatic interactions). These combinations capture the non-linearity of biological effects and the impact they have on phenotypes much better than existing methods based on single features (such as GWAS).
for 3-month CMD
for 1-month CMD