Rice Science ›› 2022, Vol. 29 ›› Issue (2): 155-165.DOI: 10.1016/j.rsci.2022.01.004
• Research Paper • Previous Articles Next Articles
Chen Yibo, Wang Zhidong, Wang Chongrong, Li Hong, Huang Daoqiang, Zhou Degui, Zhao Lei, Pan Yangyang, Gong Rong, Zhou Shaochuan()
Received:
2021-04-22
Accepted:
2021-07-28
Online:
2022-03-28
Published:
2022-02-09
Contact:
Zhou Shaochuan
Chen Yibo, Wang Zhidong, Wang Chongrong, Li Hong, Huang Daoqiang, Zhou Degui, Zhao Lei, Pan Yangyang, Gong Rong, Zhou Shaochuan. Comparisons of Metabolic Profiles for Carbohydrates, Amino Acids, Lipids, Fragrance and Flavones During Grain Development in indica Rice Cultivars[J]. Rice Science, 2022, 29(2): 155-165.
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Fig. 1. Eating quality values and metabolic profiles of three rice samples. A, Eating quality values of MXZ, MSZ and QXZ. B, Metabolite classes and numbers detected in samples. C, Principal component analysis of metabolomes during grain development. D, Venn diagram of results of two-way analysis of variance. MXZ, Meixiangzhan 2; MSZ, Meisizhan; QXZ, Qixinzhan; DAF, Days after flowering.
Fig. 2. Changes of carbohydrate levels in three rice cultivars at 8, 15 and 30 d after flowering (DAF). A, Changes of metabolites mapped to starch biosynthesis pathway in three rice cultivars at 8, 15 and 30 DAF. B, Heat map of carbohydrate metabolites that significantly changed in rice grains among three rice cultivars at 8, 15 and 30 DAF. Fold change ratios are indicated by red or blue shading according to the scale bar. Data are means of three biological replicates per cultivar and time point. Full metabolite names are listed in Tables S1 and S2. MXZ, Meixiangzhan 2; MSZ, Meisizhan; QXZ, Qixinzhan; UPDG, Uridine diphosphate glucose; ADPG, Adenosine diphosphate glucose; G-6-P, Glucose-6-phosphate; F-6-P, Fructose-6-phosphate; G-1-P, Glucose-1-phosphate.
Fig. 3. Heat map of changes in amino acids and their derivatives in rice grains at 8, 15 and 30 d after flowering (DAF) among three cultivars. Fold change ratios are indicated by red or blue shading according to the scale bar. Data are means of three biological replicates per cultivar and time point. Full metabolite names are listed in Tables S1 and S3. MXZ, Meixiangzhan 2; MSZ, Meisizhan; QXZ, Qixinzhan.
Fig. 4. Heat map of lipid metabolite changes in rice grains among three cultivars at 8, 15 and 30 d after flowering (DAF). Fold change ratios are indicated by red or blue shading according to the scale bar. Data are means of three biological replicates per cultivar and time point. Full metabolite names are listed in Tables S1 and S4. MXZ, Meixiangzhan 2; MSZ, Meisizhan; QXZ, Qixinzhan; LysoPC, Lysophosphatidylcholine; LysoPE, Lysophosphatidylethanolamine; MAG, Monoacylglycerol; 9-HOTrE, 9-hydroxy-(6Z,9Z,11E)-octadecatrienoic acid; 13-HPODE, 13-hydroperoxyoctadecadienoic acid; 9-HOA, 9- hydroxy-(10E,12Z,15Z)-octadecatrienoic acid; 12,13-EODE, 12,13-E- octadecadienoic acid; MGDG, Monogalatosyl diglyceride.
Fig. 5. Changes in levels of metabolites mapped to 2-AP biosynthesis pathway in three rice cultivars at 8, 15 and 30 d after flowering (DAF). A, 2-AP biosynthesis pathway and its regulation in plants. B, Relative changes in metabolites mapped to 2-AP biosynthesis pathway during grain development. MXZ, Meixiangzhan 2; MSZ, Meisizhan; QXZ, Qixinzhan; 2-AP, 2-acetyl-1-pyrroline; BADH2, Betaine aldehyde dehydrogenase 2; DAO, Diamine oxidase; GABA, γ-aminobutyric acid; GAD, Glutamate decarboxylase; PAO, Polyamine oxidase; SpmS, Spermine synthase; TCA, Tricarboxylic acid cycle
Fig. 6. Heat map of flavone changes in rice grains among three cultivars at 8, 15, and 30 d after flowering (DAF). MXZ, Meixiangzhan 2; MSZ, Meisizhan; QXZ, Qixinzhan. Fold change ratios are indicated by red or blue shading according to the scale bar. Data are means of three biological replicates per cultivar and time point. Full metabolite names are listed in Tables S1 and S5.
[1] | Amir R, Galili G, Cohen H. 2018. The metabolic roles of free amino acids during seed development. Plant Sci, 275: 11-18. |
[2] | An L, Tao Y, Chen H, He M J, Xiao F, Li G H, Ding Y F, Liu Z H. 2020. Embryo-endosperm interaction and its agronomic relevance to rice quality. Front Plant Sci, 11: 587641. |
[3] |
Balakrishnan J, Kannan S, Govindasamy A. 2021. Structured form of DHA prevents neurodegenerative disorders: A better insight into the pathophysiology and the mechanism of DHA transport to the brain. Nutr Res, 85: 119-134.
PMID |
[4] | Bouché N, Fromm H. 2004. GABA in plants: Just a metabolite? Trends Plant Sci, 9(3): 110-115. |
[5] | Chen S H, Yang Y, Shi W W, Ji Q, He F, Zhang Z D, Cheng Z K, Liu X N, Xu M L. 2008. Badh2, encoding betaine aldehyde dehydrogenase, inhibits the biosynthesis of 2-acetyl-1-pyrroline, a major component in rice fragrance. Plant Cell, 20: 1850-1861. |
[6] |
Chen W, Wang W S, Peng M, Gong L, Gao Y Q, Wan J, Wang S C, Shi L, Zhou B, Li Z M, Peng X X, Yang C K, Qu L H, Liu X Q, Luo J. 2016. Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals. Nat Commun, 7: 12767.
PMID |
[7] | Deng Z Y, Gong C Y, Wang T. 2013. Use of proteomics to understand seed development in rice. Proteomics, 13(12/13): 1784-1800. |
[8] | Fraga C G, Clowers B H, Moore R J, Zink E M. 2010. Signature- discovery approach for sample matching of a nerve-agent precursor using liquid chromatography-mass spectrometry, XCMS, and chemometrics. Anal Chem, 82(10): 4165-4173. |
[9] | Gang H X, Li R H, Zhao Y M, Liu G F, Chen S, Jiang J. 2019. Loss of GLK1 transcription factor function reveals new insights in chlorophyll biosynthesis and chloroplast development. J Exp Bot, 70(12): 3125-3138. |
[10] | Hayakawa K, Kimura M, Kasaha K, Matsumoto K, Sansawa H, Yamori Y. 2004. Effect of a gamma-aminobutyric acid-enriched dairy product on the blood pressure of spontaneously hypertensive and normotensive Wistar-Kyoto rats. Br J Nutr, 92(3): 411-417. |
[11] |
Henderson A J, Ollila C A, Kumar A, Borresen E C, Raina K, Agarwal R, Ryan E P. 2012. Chemopreventive properties of dietary rice bran: Current status and future prospects. Adv Nutr, 3: 643-653.
PMID |
[12] | Hori K. 2018. Genetic dissection and breeding for grain appearance quality in rice. In: Sasaki T, Ashikari M. Rice Genomics, Genetics and Breeding. Springer: 435-451. |
[13] | Hu C Y, Tohge T, Chan S N, Song Y, Rao J, Cui B, Lin H, Wang L, Fernie A R, Zhang D B, Shi J X. 2016. Identification of conserved and diverse metabolic shifts during rice grain development. Sci Rep, 6: 20942. |
[14] |
Inoue K, Shirai T, Ochiai H, Kasao M, Hayakawa K, Kimura M, Sansawa H. 2003. Blood-pressure-lowering effect of a novel fermented milk containing gamma-aminobutyric acid (GABA) in mild hypertensives. Eur J Clin Nutr, 57(3): 490-495.
PMID |
[15] | Liu L, Waters D L E, Rose T J, Bao J S, King G J. 2013. Phospholipids in rice: Significance in grain quality and health benefits: A review. Food Chem, 139: 1133-1145. |
[16] | Madeo F, Eisenberg T, Pietrocola F, Kroemer G. 2018. Spermidine in health and disease. Science, 359: eaan2788. |
[17] | Pan Y Y, Chen Y B, Wang C R, Li H, Huang D Q, Zhou D G, Wang Z D, Zhao L, Gong R, Zhou S C. 2021. Metabolism of γ-aminobutyrate and 2-acetyl-1-pyrroline analyses at various grain developmental stages in elite rice (Oryza sativa L.). Chin J Rice Sci, 35(2): 121-129. (in Chinese with English abstract) |
[18] |
Sreenivasulu N, Butardo Jr V M, Misra G, Cuevas R P, Anacleto R,Kavi Kishor P B. 2015. Designing climate-resilient rice with ideal grain quality suited for high-temperature stress. J Exp Bot, 66(7): 1737-1748.
PMID |
[19] | Sulpice R. 2019. Closing the yield gap: Can metabolomics be of help? J Exp Bot, 71(2): 461-464. |
[20] | Tapas A, Sakarkar D, Kakde R. 2008. The chemistry and biology of bioflavonoids. Res J Pharm Technol, 1(3): 132-143. |
[21] | Tian Z X, Qian Q, Liu Q Q, Yan M X, Liu X F, Yan C J, Liu G F, Gao Z Y, Tang S Z, Zeng D L, Wang Y H, Yu J M, Gu M H, Li J Y. 2009. Allelic diversities in rice starch biosynthesis lead to a diverse array of rice eating and cooking qualities. Proc Natl Acad Sci USA, 106(51): 21760-21765. |
[22] | Verschoyle R D, Greaves P, Cai H, Edwards R E, Steward W P, Gescher A J. 2007. Evaluation of the cancer chemopreventive efficacy of rice bran in genetic mouse models of breast, prostate and intestinal carcinogenesis. Br J Cancer, 96: 248-254. |
[23] | Wang J C, Xu H, Zhu Y, Liu Q Q, Cai X L. 2013. OsbZIP58, a basic leucine zipper transcription factor, regulates starch biosynthesis in rice endosperm. J Exp Bot, 64(11): 3453-3466. |
[24] |
Wang X, Zhou W, Lu Z H, Ouyang Y D, Chol S O, Yao J L. 2015. A lipid transfer protein, OsLTPL36, is essential for seed development and seed quality in rice. Plant Sci, 239: 200-208.
PMID |
[25] | Wu G Y. 2016. Dietary protein intake and human health. Food Funct, 7(3): 1251-1265. |
[26] | Yang M, Yang J, Su L, Sun K, Li D X, Liu Y Z, Wang H, Chen Z Q, Guo T. 2019. Metabolic profile analysis and identification of key metabolites during rice seed germination under low- temperature stress. Plant Sci, 289: 110282. |
[27] | Yang Y H, Guo M, Sun S Y, Zou Y L, Yin S Y, Liu Y N, Tang S Z, Gu M H, Yang Z F, Yan C J. 2019. Natural variation of OsGluA2 is involved in grain protein content regulation in rice. Nat Commun, 10: 1949. |
[28] | Ying J Z, Shan J X, Gao J P, Zhu M Z, Shi M, Lin H X. 2012. Identification of quantitative trait loci for lipid metabolism in rice seeds. Mol Plant, 5(4): 865-875. |
[29] |
Zhang S J, Jackson M B. 1993. GABA-activated chloride channels in secretory nerve endings. Science, 259: 531-534.
PMID |
[30] | Zhao D S, Li Q F, Zhang C Q, Zhang C, Yang Q Q, Pan L X, Ren X Y, Lu J, Gu M H, Liu Q Q. 2018. GS9 acts as a transcriptional activator to regulate rice grain shape and appearance quality. Nat Commun, 9(1): 1240. |
[31] | Zhao M C, Lin Y J, Chen H. 2020. Improving nutritional quality of rice for human health. Theor Appl Genet, 133: 1397-1413. |
[32] | Zhu G T, Wang S C, Huang Z J, Zhang S B, Liao Q G, Zhang C Z, Lin T, Qin M, Peng M, Yang C K, Cao X, Han X, Wang X X, van der Knaap E, Zhang Z H, Cui X, Klee H, Fernie A R, Luo J, Huang S W. 2018. Rewiring of the fruit metabolome in tomato breeding. Cell, 172(1/2): 249-261. |
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