Polyploidization Increases the Lipid Content and Improves the Nutritional Quality of Rice

Overview

Journal Plants (Basel)

Date 2022 Jan 11

PMID 35009135

Authors

Wei Wang

Qiang Tu

Rongrong Chen

Pincang Lv

Yanqing Xu

Qian Xie

Zhaojian Song

Yuchi He

Detian Cai

Xianhua Zhang

Affiliations

Soon will be listed here.

Abstract

Plant polyploidization is frequently associated with changes in nutrient contents. However, the possible contribution of metabolites to this change has not been investigated by characterizing the metabolite contents of diploid and tetraploid forms of rice ( L.). We compared the metabolites of a group of diploid-tetraploid brown rice and a group of diploid-tetraploid brown rice based on liquid chromatography-tandem mass spectrometry. In total, 401 metabolites were identified; of these, between the two diploid-tetraploid groups, 180 showed opposite expression trends, but 221 showed the same trends (147 higher abundance vs. 74 lower abundance). Hierarchical cluster analysis of differential metabolites between diploid and tetraploid species showed a clear grouping pattern, in which the expression abundance of lipids, amino acids and derivatives, and phenolic acids increased in tetraploids. Further analysis revealed that the lipids in tetraploid rice increased significantly, especially unsaturated fatty acids and phospholipids. This study provides further basis for understanding the changes in rice nutritional quality following polyploidization and may serve as a new theoretical reference for breeding eutrophic or functional rice varieties via polyploidization.

Citing Articles

Metabolomics and transcriptomics analyses provide new insights into the nutritional quality during the endosperm development of different ploidy rice.

Xian L, Tian J, Long Y, Ma H, Tian M, Liu X Front Plant Sci. 2023; 14:1210134.

PMID: 37409294 PMC: 10319422. DOI: 10.3389/fpls.2023.1210134.

A comparative study of characteristics in diploid and tetraploid .

Huang X, Ouyang K, Luo Y, Xie G, Yang Y, Zhang J Front Nutr. 2022; 9:1034751.

PMID: 36419553 PMC: 9676492. DOI: 10.3389/fnut.2022.1034751.

Transcriptome and Metabolome Analyses Reveal Complex Molecular Mechanisms Involved in the Salt Tolerance of Rice Induced by Exogenous Allantoin.

Wang J, Li Y, Wang Y, Du F, Zhang Y, Yin M Antioxidants (Basel). 2022; 11(10).

PMID: 36290768 PMC: 9598814. DOI: 10.3390/antiox11102045.

Induced polyploidy deeply influences reproductive life cycles, related phytochemical features, and phytohormonal activities in blackberry species.

Sabooni N, Gharaghani A Front Plant Sci. 2022; 13:938284.

PMID: 36035697 PMC: 9412943. DOI: 10.3389/fpls.2022.938284.

Xiong Q, Sun C, Shi H, Cai S, Xie H, Liu F Foods. 2022; 11(10).

PMID: 35627078 PMC: 9141971. DOI: 10.3390/foods11101508.

References

Xie H, Huang Q, Li G, Wang X, Ye C, Qin G . [Differential expression of the proteins in endosperms of rice with different chromosome sets]. Yi Chuan. 2007; 29(3):360-4. DOI: 10.1360/yc-007-0360. View

Ryan D, Kendall M, Robards K . Bioactivity of oats as it relates to cardiovascular disease. Nutr Res Rev. 2008; 20(2):147-62. DOI: 10.1017/S0954422407782884. View

Soltis P . Ancient and recent polyploidy in angiosperms. New Phytol. 2005; 166(1):5-8. DOI: 10.1111/j.1469-8137.2005.01379.x. View

Concepcion J, Ouk S, Riedel A, Calingacion M, Zhao D, Ouk M . Quality evaluation, fatty acid analysis and untargeted profiling of volatiles in Cambodian rice. Food Chem. 2017; 240:1014-1021. DOI: 10.1016/j.foodchem.2017.08.019. View

Ulaszewska M, Weinert C, Trimigno A, Portmann R, Andres Lacueva C, Badertscher R . Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies. Mol Nutr Food Res. 2018; 63(1):e1800384. DOI: 10.1002/mnfr.201800384. View

Wang D, Zhang L, Huang X, Wang X, Yang R, Mao J . Identification of Nutritional Components in Black Sesame Determined by Widely Targeted Metabolomics and Traditional Chinese Medicines. Molecules. 2018; 23(5). PMC: 6100530. DOI: 10.3390/molecules23051180. View

Paterson A, Bowers J, Chapman B . Ancient polyploidization predating divergence of the cereals, and its consequences for comparative genomics. Proc Natl Acad Sci U S A. 2004; 101(26):9903-8. PMC: 470771. DOI: 10.1073/pnas.0307901101. View

Yu J, Wang J, Lin W, Li S, Li H, Zhou J . The Genomes of Oryza sativa: a history of duplications. PLoS Biol. 2005; 3(2):e38. PMC: 546038. DOI: 10.1371/journal.pbio.0030038. View

Rice A, Smarda P, Novosolov M, Drori M, Glick L, Sabath N . The global biogeography of polyploid plants. Nat Ecol Evol. 2019; 3(2):265-273. DOI: 10.1038/s41559-018-0787-9. View

10.

Hu C, Tohge T, Chan S, Song Y, Rao J, Cui B . Identification of Conserved and Diverse Metabolic Shifts during Rice Grain Development. Sci Rep. 2016; 6:20942. PMC: 4748235. DOI: 10.1038/srep20942. View

11.

Friedman M . Rice brans, rice bran oils, and rice hulls: composition, food and industrial uses, and bioactivities in humans, animals, and cells. J Agric Food Chem. 2013; 61(45):10626-41. DOI: 10.1021/jf403635v. View

12.

Li Q, Song J . Analysis of widely targeted metabolites of the euhalophyte Suaeda salsa under saline conditions provides new insights into salt tolerance and nutritional value in halophytic species. BMC Plant Biol. 2019; 19(1):388. PMC: 6729093. DOI: 10.1186/s12870-019-2006-5. View

13.

Chen W, Gong L, Guo Z, Wang W, Zhang H, Liu X . A novel integrated method for large-scale detection, identification, and quantification of widely targeted metabolites: application in the study of rice metabolomics. Mol Plant. 2013; 6(6):1769-80. DOI: 10.1093/mp/sst080. View

14.

Cai D, Chen J, Chen D, Dai B, Zhang W, Song Z . The breeding of two polyploid rice lines with the characteristic of polyploid meiosis stability. Sci China C Life Sci. 2007; 50(3):356-66. DOI: 10.1007/s11427-007-0049-6. View

15.

Sawada Y, Akiyama K, Sakata A, Kuwahara A, Otsuki H, Sakurai T . Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants. Plant Cell Physiol. 2008; 50(1):37-47. PMC: 2638709. DOI: 10.1093/pcp/pcn183. View

16.

Guo H, Mendrikahy J, Xie L, Deng J, Lu Z, Wu J . Transcriptome analysis of neo-tetraploid rice reveals specific differential gene expressions associated with fertility and heterosis. Sci Rep. 2017; 7:40139. PMC: 5223177. DOI: 10.1038/srep40139. View

17.

Yu L, Li G, Li M, Xu F, Beta T, Bao J . Genotypic variation in phenolic acids, vitamin E and fatty acids in whole grain rice. Food Chem. 2015; 197(Pt A):776-82. DOI: 10.1016/j.foodchem.2015.11.027. View

18.

Weckwerth W . Metabolomics in systems biology. Annu Rev Plant Biol. 2003; 54:669-89. DOI: 10.1146/annurev.arplant.54.031902.135014. View

19.

Cai Y, Luo Q, Sun M, Corke H . Antioxidant activity and phenolic compounds of 112 traditional Chinese medicinal plants associated with anticancer. Life Sci. 2004; 74(17):2157-84. PMC: 7126989. DOI: 10.1016/j.lfs.2003.09.047. View

20.

Lu Z, Guo X, Huang Z, Xia J, Li X, Wu J . Transcriptome and Gene Editing Analyses Reveal Defect Alters the Expression of Genes Associated with Tapetum Development and Chromosome Behavior at Meiosis Stage Resulting in Low Pollen Fertility of Tetraploid Rice. Int J Mol Sci. 2020; 21(20). PMC: 7589589. DOI: 10.3390/ijms21207489. View