Root Microbiome and Metabolome Traits Associated with Improved Post-Harvest Root Storage for Sugar Beet Breeding Lines Under Southern Idaho Conditions.

Int J Mol Sci

Northwest Irrigation and Soils Research Laboratory (NWISRL), United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Kimberly, ID 83341, USA.

Published: November 2024

AI Article Synopsis

  • Post-harvest storage losses in sugar beets due to root rot and respiration can exceed 20% sugar loss, highlighting the need for better storage quality breeding strategies.
  • Research investigated the impact of root microbiome and metabolome on storage performance in sugar beet lines with varying disease resistance using advanced sequencing techniques.
  • Findings revealed that resistant lines had higher bacterial diversity and specific microbial biomarkers associated with resistance, as well as significant metabolic pathway enrichments that could enhance post-harvest storage.

Article 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 abundances of bacterial phyla, at the M time point, and and at the L time point. Amongst fungal phyla, (including ) and were predominant in diseased samples. Linear discriminant analysis Effect Size (LEfSe) identified bacterial taxa such as , , , , and as putative biomarkers associated with resistance in the R lines. Further functional enrichment analysis showed a higher abundance of bacteria, such as those related to the super pathway of pyrimidine deoxyribonucleoside 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, in addition to beta-alanine and butanoate metabolism at L in the R lines. Correlation analysis between the microbiome and metabolites indicated that the root's biochemical composition, such as the presence of nitrogen-containing secondary metabolites, may regulate relative abundances of key microbial candidates contributing to better post-harvest storage.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11640815PMC
http://dx.doi.org/10.3390/ijms252312681DOI Listing

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