TY  - JOUR
AU  - Tiozon, Rhowell Jr. N.
AU  - Sreenivasulu, Nese
AU  - Alseekh, Saleh
AU  - Sartagoda, Kristel June D.
AU  - Usadel, Björn
AU  - Fernie, Alisdair R.
TI  - Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice
JO  - Communications biology
VL  - 6
IS  - 1
SN  - 2399-3642
CY  - London
PB  - Springer Nature
M1  - FZJ-2023-03882
SP  - 1000
PY  - 2023
AB  - Enhancing the dietary properties of rice is crucial to contribute to alleviating hidden hunger and non-communicable diseases in rice-consuming countries. Germination is a bioprocessing approach to increase the bioavailability of nutrients in rice. However, there is a scarce information on how germination impacts the overall nutritional profile of pigmented rice sprouts (PRS). Herein, we demonstrated that germination resulted to increase levels of certain dietary compounds, such as free phenolics and micronutrients (Ca, Na, Fe, Zn, riboflavin, and biotin). Metabolomic analysis revealed the preferential accumulation of dipeptides, GABA, and flavonoids in the germination process. Genome-wide association studies of the PRS suggested the activation of specific genes such as CHS1 and UGT genes responsible for increasing certain flavonoid compounds. Haplotype analyses showed a significant difference (P < 0.05) between alleles associated with these genes. Genetic markers associated with these flavonoids were incorporated into the random forest model, improving the accuracy of prediction of multi-nutritional properties from 89.7% to 97.7%. Deploying this knowledge to breed rice with multi-nutritional properties will be timely to address double burden nutritional challenges
LB  - PUB:(DE-HGF)16
C6  - 37783812
UR  - <Go to ISI:>//WOS:001083931000002
DO  - DOI:10.1038/s42003-023-05379-9
UR  - https://juser.fz-juelich.de/record/1016975
ER  -