Location: Northwest Irrigation and Soils Research
Title: Root microbiome and metabolome traits associated with improved post-harvest root storage for sugar beet breeding lines under southern Idaho conditionsAuthor
Majumdar, Raj | |
Kandel, Shyam | |
Strausbaugh, Carl | |
Singh, Anuradha | |
Pokhrel, Suresh | |
BILL, MALICK - North Dakota State University |
Submitted to: International Journal of Molecular Sciences
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 11/22/2024 Publication Date: 11/26/2024 Citation: Majumdar, R., Kandel, S.L., Strausbaugh, C.A., Singh, A., Pokhrel, S., Bill, M. 2024. Root microbiome and metabolome traits associated with improved post-harvest root storage for sugar beet breeding lines under southern Idaho conditions. International Journal of Molecular Sciences. 2024, 25(23). Article; 12681. https://doi.org/10.3390/ijms252312681. DOI: https://doi.org/10.3390/ijms252312681 Interpretive Summary: Loss of sucrose during post-harvest storage due to diseases and/or continued root respiration accounts for more than 20% of sucrose loss. In this study we demonstrate the role of genotype specific root microbiome and metabolite-related traits that contribute to improved post-harvest storage of sugar beet roots. The knowledge obtained on the roles of microbiome/metabolites/genotypes in improving post-harvest storage quality will be useful for sugar beet seed companies. This will prioritize future breeding strategies to generate cultivars with better storage performance which will minimize sugar loss and increase profits for the growers. Technical Abstract: Post-harvest storage loss in sugar beets due to root rot and respiration can cause >20% sugar loss. Breeding strategies focused on factors contributing to improved post-harvest storage quality are of great importance to prevent losses. Using 16S rRNA and ITS sequencing and sugar beet mutational breeding lines with high disease resistance (R), along with a susceptible (S) commercial cultivar, the role of root microbiome and metabolome in storage performance was investigated. The R lines in general showed higher abundance of bacterial phyla, Patescibacteria at M time point, and Cyanobacteria, and Desulfobacterota at L time point. Amongst fungal phyla, Basidiomycota (including Athelia) and Ascomycota were predominant in diseased samples. Linear discriminant analysis Effect Size (LEfSe) identified bacterial taxa such as Micrococcales, Micrococcaceae, Bacilli, Glutamicibacter, Nesterenkonia, and Paenarthrobacter as putative biomarkers associated with resistance in the R lines. Further functional enrichment analysis showed higher abundance of bacteria such as those related to the super pathway of pyrimidine deoxyribonucleosides degradation, L-tryptophan biosynthesis at M and L, and fungi such as those associated with the biosynthesis of L-iditol 2-dehydrogenase at L in the R lines. Metabolome analysis of the roots revealed higher enrichment of pathways associated with arginine, proline, alanine, aspartate, and glutamate metabolism at M, and in addition beta-alanine, butanoate metabolism at L in the R lines. Correlation analysis between microbiome and metabolites indicated that root biochemical composition such as nitrogen containing secondary metabolites may regulate relative abundances of key microbial candidates contributing to better post-harvest storage. |