Characterization of Sub-Tropically Adapted Maize Breeding Lines for Loci Governing Kernel Amylose and Resistant Starch
Shashidhar B. Reddappa
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorRashmi Chhabra
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorVignesh Muthusamy
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorRajkumar U. Zunjare
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorZahirul A. Talukder
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorSubhra J. Mishra
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorAshvinkumar Katral
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorAshok K. Singh
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorCorresponding Author
Firoz Hossain
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Email: [email protected]
Search for more papers by this authorShashidhar B. Reddappa
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorRashmi Chhabra
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorVignesh Muthusamy
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorRajkumar U. Zunjare
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorZahirul A. Talukder
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorSubhra J. Mishra
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorAshvinkumar Katral
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorAshok K. Singh
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Search for more papers by this authorCorresponding Author
Firoz Hossain
ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
Email: [email protected]
Search for more papers by this authorAbstract
Amylose and resistant starch (RS) possess diverse health benefits besides serving as an important component in the starch industry. This study analyzed 48 subtropically-adapted maize inbreds at multiple locations and characterized for specific starch genes using markers specific to SNPs. Significant variation for amylose (0.3–66.4%), RS (1.8–38.0%), and total starch (65.5–75.1%) is observed. Amylose showed a positive correlation with RS (r = 0.79**). Molecular analysis using 29 markers produced 40 alleles with an average major allele frequency of 0.84. Gene diversity, polymorphism information content (PIC), and genetic dissimilarity are 0.23, 0.19, and 0.33, respectively. The genotypes are categorized into six major clusters based on the markers, and high amylose and RS lines are assigned to cluster-A and cluster-B. The alleles associated with Sbe2b (84 bp Del) and Sbe1a (SNP “A”) showed positive correlations with amylose and RS. Additionally, allele “A” linked to the Sucrose transporter6 (Sut6) displayed a positive correlation with RS. Considering Sbe2b, Sbe1a and Sut6 genes, six haplotypes are observed, of these, hap-A possessed the highest amylose and RS. The promising inbreds can be used as donors, while the validated markers for Sbe2b, Sbe1a and Sut6 genes can be effectively utilized for the improvement of amylose and RS through molecular breeding.
Conflict of Interest
The authors have no relevant financial or non-financial interests to disclose.
Open Research
Data Availability Statement
The data that supports the findings of this study are available in the supplementary material of this article
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References
- 1Y. Zhong, L. Liu, J. Qu, S. Li, A. Blennow, S. A. Seytahmetovna, X. Liu, D. Guo, Carbohydr. Polym. 2020, 247, 116681.
- 2S. B. Reddappa, R. Chhabra, Z. A. Talukder, V. Muthusamy, R. U. Zunjare, F. Hossain, 3 Biotech. 2022, 12, 62.
- 3F. Hossain, R. Chhabra, E. L. Devi, R. U. Zunjare, S. K. Jaiswal, V. Muthusamy, 3 Biotech. 2019, 9, 1.
- 4S. B. Reddappa, V. Muthusamy, R. U. Zunjare, R. Chhabra, Z. A. Talukder, S. Maman, G. Chand, D. Pal, R. Kumar, B. K. Mehta, J. Food Compos. Anal. 2023, 119, 105236.
- 5Z. A. Talukder, V. Muthusamy, R. Chhabra, N. Gain, S. B. Reddappa, S. J. Mishra, R. Kasana, V. Bhatt, G. Chand, A. Katral, Sci. Rep. 2022, 12, 1.
- 6T. Chen, L. Ning, X. Liu, D. Cui, H. Zhang, D. Li, L. Zhao, H. Chen, Crop Sci. 2013, 53, 482.
- 7E. L. Devi, F. Hossain, V. Muthusamy, R. Chhabra, R. U. Zunjare, A. Baveja, S. K. Jaiswal, R. Goswami, S. Dosad, 3 Biotech. 2017, 7, 1.
- 8N. Han, W. Li, C. Xie, F. Fu, Preprints 2021, 2021050560.
- 9H. N. Englyst, S. M. Kingman, J. H. Cummings, Eur. J. Clin. Nutr. 1992, 46, S33.
- 10P. Raigond, R. Ezekiel, B. Raigond, J. Sci. Food Agric. 2015, 95, 1968.
- 11R. Chang, Z. Jin, Y. Tian, Food Hydrocoll. 2023, 142, 108770.
- 12B. A. Gower, R. Bergman, D. Stefanovski, B. Darnell, F. Ovalle, G. Fisher, S. K. Sweatt, H. S. Resuehr, C. Pelkman, Nutr. Metab. (Lond) 2016, 13, 1.
- 13M. D. Robertson, Curr. Opin. Clin. Nutr. Metab. Care 2012, 15, 362.
- 14Y. Granfeldt, A. Drews, I. Björck, J. Nutr. 1995, 125, 459.
- 15K. M. Behall, J. Hallfrisch, Eur. J. Clin. Nutr. 2002, 56, 913.
- 16W. Sami, T. Ansari, N. S. Butt, M. R. Ab Hamid, Int. J. Health Sci. (Qassim) 2017, 11, 65.
- 17J. Xia, D. Zhu, R. Wang, Y. Cui, Y. Yan, Theor. Appl. Genet. 2018, 131, 2495.
- 18D. L. Topping, P. M. Clifton, Physiol. Rev. 2001, 81, 1031.
- 19M. G. Sajilata, R. S. Singhal, P. R. Kulkarni, Compr. Rev. Food Sci. Food Saf. 2006, 5, 1.
- 20 International Diabetes Federation, IDF Diabetes Atlas, 10th ed. Brussels, Belgium, 2021, accessed on 31 January, https://www.diabetesatlas.org
- 21F. S. Atkinson, J. C. Brand-Miller, K. Foster-Powell, A. E. Buyken, J. Goletzke, Am. J. Clin. Nutr. 2021, 114, 1625.
- 22Y. Ai, J. Jane, Compr. Rev. Food Sci. Food Saf. 2016, 15, 581.
- 23R. P. Bear, M. L. Vineyard, M. M. MacMasters, W. L. Deatherage, Agron. J. 1958, 50, 598.
10.2134/agronj1958.00021962005000100010x Google Scholar
- 24C. Li, Y. Huang, R. Huang, Y. Wu, W. Wang, Plant Biotechnol. J. 2018, 16, 688.
- 25L. Li, H. Jiang, M. Campbell, M. Blanco, J. Jane, Carbohydr. Polym. 2008, 74, 396.
- 26J. Wang, P. Hu, Z. Chen, Q. Liu, C. Wei, Front. Plant Sci. 2017, 8, 469.
- 27P. S. Stinard, D. S. Robertson, P. S. Schnable, Plant Cell. 1993, 5, 1555.
- 28K.-N. Kim, D. K. Fisher, M. Gao, M. J. Guiltinan, Plant Mol. Biol. 1998, 38, 945.
- 29H. H. Kramer, R. L. Whistler, E. G. Anderson, Agron. J. 1956, 48, 170.
10.2134/agronj1956.00021962004800040007x Google Scholar
- 30B. Griffing, Aust. J. Biol. Sci. 1956, 9, 463.
- 31F. Liu, Z. Ahmed, E. A. Lee, E. Donner, Q. Liu, R. Ahmed, M. K. Morell, M. J. Emes, I. J. Tetlow, J. Exp. Bot. 2012, 63, 1167.
- 32D. L. Garwood, The Pennsylvania State University 1973
- 33K. D. Hedman, C. D. Boyer, Biochem. Genet. 1982, 20, 483.
- 34C. Sidebottom, M. Kirkland, B. Strongitharm, R. Jeffcoat, J. Cereal. Sci. 1998, 27, 279.
- 35Y. Guo, X. Yang, S. Chander, J. Yan, J. Zhang, T. Song, J. Li, Crop. J. 2013, 1, 34.
10.1016/j.cj.2013.07.010 Google Scholar
- 36H. Zhang, T. Jin, Y. Huang, J. Chen, L. Zhu, Y. Zhao, J. Guo, Euphytica 2015, 205, 169.
- 37M. L. Vineyard, R. P. Bear, M. M. MacMasters, W. L. Deatherage, Agron. J. 1958, 50, 595.
10.2134/agronj1958.00021962005000100009x Google Scholar
- 38H. Jiang, M. Campbell, Y. Wu, S. Du, S. Srichuwong, J. Jane, J. Agric. Food Chem. 2015, 63, 433.
- 39K. D. Hedman, C. D. Boyer, Biochem. Genet. 1983, 21, 1217.
- 40H. P. Guan, J. Preiss, Plant Physiol. 1993, 102, 1269.
- 41R. Remya, A. N. Jyothi, J. Root Crops 2015, 41, 37.
- 42L. Zhu, M. Gu, X. Meng, S. C. K. Cheung, H. Yu, J. Huang, Y. Sun, Y. Shi, Q. Liu, Plant Biotechnol. J. 2012, 10, 353.
- 43A. Regina, P. Berbezy, B. Kosar-Hashemi, S. Li, M. Cmiel, O. Larroque, A. R. Bird, S. M. Swain, C. Cavanagh, S. A. Jobling, Plant Biotechnol. J. 2015, 13, 1276.
- 44A. Regina, B. Kosar-Hashemi, S. Ling, Z. Li, S. Rahman, M. Morell, J. Exp. Bot. 2010, 61, 1469.
- 45M. Thitisaksakul, R. C. Jiménez, M. C. Arias, D. M. Beckles, J. Cereal Sci. 2012, 56, 67.
- 46N. K. Garg, A. Singh, M. K. Samota, D. P. Chaudhary, Int. J. Curr. Microbiol. App. Sci. 2017, 6, 2597.
- 47G. Zhang, Z. Ao, B. R. Hamaker, J. Agric. Food Chem. 2008, 56, 4686.
- 48B. Borczak, M. Sikora, E. Sikora, A. Dobosz, J. Kapusta-Duch, Starch-Stärke 2017, 70, 1700022.
10.1002/star.201700022 Google Scholar
- 49 International Rice Research Institute, 2023, accessed on 31 January 2024, https://www.irri.org/news-and-events/news/irri-reveals-scientific-breakthrough-low-and-ultra-low-glycemic-index-rice
- 50B. Mehta, F. Hossain, V. Muthusamy, A. Baveja, R. Zunjare, S. K. Jha, H. S. Gupta, Physiol. Mol. Biol. Plant 2017, 23, 411.
- 51J. Liu, S. Huang, M. Sun, S. Liu, Y. Liu, W. Wang, X. Zhang, H. Wang, W. Hua, Plant Methods 2012, 8, 1.
- 52G. Yu, Y. Gaoyang, L. Liu, N. Shoaib, Y. Deng, N. Zhang, Y. Li, Y. Huang, Agronomy 2022, 12, 1359.
- 53S. C. Stelpflug, R. S. Sekhon, B. Vaillancourt, C. N. Hirsch, C. R. Buell, N. de Leon, S. M. Kaeppler, Plant Genome 2016, 9
- 54W. B. Suwarno, K. V. Pixley, N. Palacios-Rojas, S. M. Kaeppler, R. Babu, Crop Sci. 2014, 54, 14.
- 55P. Ajmone Marsan, P. Castiglioni, F. Fusari, M. Kuiper, M. Motto, Theor. Appl. Genet. 1998, 96, 219.
- 56C. G. Aguiar, I. Schuster, A. T. do Amaral Júnior, C. A. Scapim, E. S. N. Vieira, Genet. Mol. Res. 2008, 7, 1233.
- 57S. L. Dellaporta, J. Wood, J. B. Hicks, Plant Mol. Biol. Report 1983, 1, 19.
- 58K. Liu, S. V. Muse, Bioinformatics 2005, 21, 2128.
- 59X. Perrier, J. P. Jacquemoud-Collet, Darwin software 2015
- 60I. Letunic, P. Bork, Nucleic Acids Res. 2019, 47, W256.
- 61M. Horikoshi, Y. Tang, 2016, Website https://CRANR-projectorg/package=ggfortify
- 62 R. C. Team, 2016, http://wwwR-projectorg/
- 63A. Kassambara, F. Mundt, R. package 2020