Forthcoming

Genomic insights into phenolic content: Multi-environment based marker-trait association mapping in rice (Oryza sativa L.)

Authors

DOI:

https://doi.org/10.14719/pst.6822

Keywords:

C4H , GLM, MLM, PAL, SSR markers, total phenolic content

Abstract

Phenolic acids are crucial for human health due to their potent antioxidant, anti-inflammatory, and antimicrobial properties, which help protect against chronic diseases and support overall well-being. In this study, 44 rice accessions were evaluated for total phenolic content in three different locations of Tamil Nadu and the marker trait association was done using 208 SSR markers. Among the association panel, Mappillai Samba was identified as having the highest total phenolic content of 1049.936 mg GAE/100 g. The phylogenetic analysis grouped the panel of entries into five genetic structure groups which nearly matched the geographical distance among the entries. Marker-trait association studies using GLM and MLM revealed that SSR markers RM287 and RM19358 were significantly associated with total phenolic content, explaining 23.4% and 19.7% of the observed variability, respectively. These markers were located in genomic regions linked to candidate genes involved in the biosynthesis of trans-cinnamate 4- monooxygenase (C4H) and phenylalanine ammonia-lyase (PAL), key enzymes in the phenolic acid pathway. Identifying these markers provides valuable tools for marker-assisted selection, enabling the development of biofortified rice varieties with enhanced phenolic content. Such advancements promise to improve rice nutritional quality and promoting public health through dietary interventions.

Downloads

References

Tiozon RJN, Sartagoda KJD, Fernie AR, Sreenivasulu N. The nutritional profile and human health benefit of pigmented rice and the impact of post-harvest processes and product development on the nutritional components: A review. Crit Rev Food Sci Nutr. 2023;63:3867–94. https://doi.org/10.1080/10408398.2021.1995697

Tieri M, Ghelfi F, Vitale M, Vetrani C, Marventano S, Lafranconi A, et al. Whole grain consumption and human health: an umbrella review of observational studies. Int J Food Sci Nutr. 2020;71:668–77. https://doi.org/10.1080/09637486.2020.1715354

World Food Programme. Global report on food crises (GRFC) 2024. https://www.wfp.org/publications/global-report-food-crises-grfc.

World Health Organization. Hunger numbers stubbornly high for three consecutive years as global crises deepen: UN report [Internet]. https://www.who.int/news/item/24-07-2024-hunger-numbers-stubbornly-high-for-three-consecutive-years-as-global-crises-deepen--un-report.

World Health Organization. The state of food security and nutrition in the world 2024 [Internet]. https://www.who.int/publications/m/item/the-state-of-food-security-and-nutrition-in-the-world-2024.

Mbanjo EGN, Kretzschmar T, Jones H, Ereful N, Blanchard C, Boyd LA, Sreenivasulu N. The genetic basis and nutritional benefits of pigmented rice grain. Front Genet. 2020;11(229):1–18. https://doi.org/10.3389/fgene.2020.00229

Chattopadhyay K, Bagchi TB, Sanghamitra P, Sarkar S, Anilkumar C, Marndi BC, et al. Mapping genetic determinants for grain physicochemical and nutritional traits in brown and pigmented rice using genome-wide association analysis. Euphytica. 2023;219(57):1–17. https://doi.org/10.1007/s10681-023-03184-3

Kruk J, Aboul-Enein BH, Duchnik E, Marchlewicz M. Antioxidative properties of phenolic compounds and their effect on oxidative stress induced by severe physical exercise. J Physiol Sci. 2022;72(19)1–24. https://doi.org/10.1186/s12576-022-00845-1

Hu H, Zhao Y, Feng Y, Yang X, Li Y, Wu Y, et al. Consumption of whole grains and refined grains and associated risk of cardiovascular disease events and all-cause mortality: a systematic review and dose-response meta-analysis of prospective cohort studies. Am J Clin Nutr. 2023;117:149–59. https://doi.org/10.1016/j.ajcnut.2022.10.010

Shao Y, Jin L, Zhang G, Lu Y, Shen Y, Bao J. Association mapping of grain color, phenolic content, flavonoid content and antioxidant capacity in dehulled rice. Theor Appl Genet. 2011;122:1005–16. https://doi.org/10.1007/s00122-010-1505-4

Li K, Li Q, Wang LY, Ren H, Ge Y. Genetic variation and association mapping of phenolic, flavonoid content and antioxidant capacity in USDA rice mini-core collection. Genet Resour Crop Evol. 2022;69:1685–94. https://doi.org/10.1007/s10722-021-01333-y

Singleton VL, Rossi JA. Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. Am J Enol Vitic. 1965;16:144–58. https://doi.org/10.5344/ajev.1965.16.3.144

Doyle JJ. Isolation of plant DNA from fresh tissue. Focus (Madison). 1990;12:13–15.

Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155:945–59. https://doi.org/10.1093/genetics/155.2.945

Li Y, Liu J. Structure Selector: A web?based software to select and visualize the optimal number of clusters using multiple methods. Mol Ecol Resour. 2018;18:176–77. https://doi.org/10.1111/1755-0998.12719

Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38:904–09. https://doi.org/10.1038/ng1847

Yu J, Pressoir G, Briggs WH, Bi IV, Yamasaki M, Doebley JF, et al. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet. 2006;38:203–08. https://doi.org/10.1038/ng1702

Rajagopalan VR, Manickam S, Muthurajan R. A comparative metabolomic analysis reveals the nutritional and therapeutic potential of grains of the traditional rice variety Mappillai Samba. Plants. 2022;11:543. https://doi.org/10.3390/plants11040543

de Mira NVM, Massaretto IL, Pascual C de SCI, Marquez UML. Comparative study of phenolic compounds in different Brazilian rice (Oryza sativa L.) genotypes. J Food Compost Anal. 2009;22:405–09. https://doi.org/10.1016/j.jfca.2008.06.012

Nath S, Bhattacharjee P, Bhattacharjee S, Datta J, Dolai AK. Grain characteristics, proximate composition, phytochemical capacity and mineral content of selected aromatic and non-aromatic rice accessions commonly cultivated in the North-East Indian plain belt. Appl Food Res. 2022;2(100067):1–8. https://doi.org/10.1016/j.afres.2022.100067

Sahu R, Mandal S, Das P, Ashraf GJ, Dua TK, Paul P, et al. The bioavailability, health advantages, extraction method and distribution of free and bound phenolics of rice, wheat and maize: A review. Food Chem Adv. 2023;3(100484):1–19. https://doi.org/10.1016/j.focha.2023.100484

Singh N, Choudhury DR, Singh AK, Kumar S, Srinivasan K, Tyagi RK, et al. Comparison of SSR and SNP markers in estimation of genetic diversity and population structure of Indian rice varieties. PLoS One. 2013;8:e84136. https://doi.org/10.1371/journal.pone.0084136

Adeboye KA, Oyedeji OE, Alqudah AM, Börner A, Oduwaye O, Adebambo O, Daniel IO. Genetic structure and diversity of upland rice germplasm using diversity array technology (DArT)-based single nucleotide polymorphism (SNP) markers. Plant Genet Resour. 2020;18:343–50. https://doi.org/10.1017/S1479262120000362

Thant AA, Zaw H, Kalousova M, Singh RK, Lojka B. Genetic diversity and population structure of Myanmar rice (Oryza sativa L.) varieties using DArTseq-based SNP and SilicoDArT markers. Plants. 2021;10:2564. https://doi.org/10.3390/plants10122564

Kimwemwe PK, Bukomarhe CB, Mamati EG, Githiri SM, Civava RM, Mignouna J, et al. Population structure and genetic diversity of rice (Oryza sativa L.) germplasm from the Democratic Republic of Congo (DRC) using DArTseq-Derived single nucleotide polymorphism (SNP). Agron. 2023;13:1906. https://doi.org/10.3390/agronomy13071906

Sleper DA, Poehlman JM. Breeding field crops: Gene Recombination in Plant Breeding. 5th ed. Wiley-Blackwell; 2006.

Ndjiondjop MN, Semagn K, Zhang J, Gouda AC, Kpeki SB, Goungoulou A, et al. Development of species diagnostic SNP markers for quality control genotyping in four rice (Oryza sativa L.) species. Mol Breed. 2018;38(131):1–13. https://doi.org/10.1007/s11032-018-0885-z

Feduraev P, Skrypnik L, Riabova A, Pungin A, Tokupova E, Maslennikov P, Chupakhina G. Phenylalanine and tyrosine as exogenous precursors of wheat (Triticum aestivum L.) secondary metabolism through PAL-associated pathways. Plants. 2020;9(476):1–19. https://doi.org/10.3390/plants9040476

Published

13-02-2025

How to Cite

1.
Karunya N, Seshadri G, Sivakami R, Muthurajan R, Mannu J, Swaminathan M, Doraiswamy U, Krishnan A, Lekshmi A, Fathima A. Genomic insights into phenolic content: Multi-environment based marker-trait association mapping in rice (Oryza sativa L.) . Plant Sci. Today [Internet]. 2025 Feb. 13 [cited 2025 Apr. 5];. Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/6822

Issue

Section

Research Articles

Similar Articles

You may also start an advanced similarity search for this article.