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Molecular characterization of elite maize (Zea mays L.) inbreds using markers associated with iron and zinc transporter genes

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Abstract

Traditional maize (Zea mays L.) is deficient in iron (Fe) and zinc (Zn). Metal transporter proteins play pivotal role in uptake, translocation and accumulation of minerals. Here, a set of 70 intergenic SSRs, 20 intragenic SSRs and 20 intragenic InDel markers encompassing 62 metal transporter genes were used for characterization of 24 diverse inbreds varying for Fe (13.95–37.34 µg/g) and Zn (11.83–37.90 µg/g). A total of 356 alleles, with 26 unique (7.03%) and 36 rare (10.11%) alleles were observed. Cluster analysis categorized the inbreds into two main clusters. Five candidate gene-based intragenic SSRs were significantly associated with Fe (r = 0.46–0.52). Two intragenic InDel markers and 11 SSRs were significantly correlated with Zn (r = 0.44–0.76). HUZM-185 and HKI-323 possessed favourable allele of five genes that showed significantly high correlation with Fe. At least six significantly associated genes for Zn were found in BQPML-5207-4-2, CML152, CML169 and HKI193-1. Based on genetic distance, presence of genes and high micronutrients, potential cross combinations were identified for the exploitation of heterosis. This study is the first report on characterizing maize inbreds using markers for metal transporter genes.

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References

  • Agrawal PK, Jaiswal SK, Prasanna BM, Hossain F, Saha S, Guleria SK, Gupta HS (2012) Genetic variability and stability for kernel iron and zinc concentration in maize (Zea mays L.) genotypes. Indian J Genet 72:421–428

    CAS  Google Scholar 

  • Bouis H (2018) Reducing mineral and vitamin deficiencies through biofortification: progress under HarvestPlus. In: Biesalski HK, Birner R (eds) Hidden hunger: strategies to improve nutrition quality. Karger Publishers, Berlin, pp 112–122

    Chapter  Google Scholar 

  • Chakraborti M, Prasanna BM, Hossain F, Mazumdar S, Singh AM, Guleria SK, Gupta HS (2011) Identification of kernel iron-and zinc-rich maize inbreds and analysis of genetic diversity using microsatellite markers. J Plant Biochem Biotechnol 20:224–233

    Article  CAS  Google Scholar 

  • Chakraborti M, Prasanna BM, Hossain F, Singh AM, Guleria SK (2009) Genetic evaluation of kernel Fe and Zn concentrations and yield performance of selected maize (Zea mays L.) genotypes. Range Manag Agrofor 30:109–114

    Google Scholar 

  • Chen WR, Feng Y, Chao YE (2008) Genomic analysis and expression pattern of OsZIP1OsZIP3, and OsZIP4 in two rice (Oryza sativa L.) genotypes with different zinc efficiency. Russ J Plant Physiol 55:400–409

    Article  CAS  Google Scholar 

  • Cobb JN, Biswas PS, Platten JD (2019) Back to the future: revisiting MAS as a tool for modern plant breeding. Theor Appl Genet 132:647–667

    Article  CAS  Google Scholar 

  • Dellaporta SL, Wood J, Hicks JB (1983) A plant DNA minipreparation: version II. Plant Mol Biol Report 1:19–21

    Article  CAS  Google Scholar 

  • DiDonato RJ Jr, Roberts LA, Sanderson T, Eisley RB, Walker EL (2004) Arabidopsis Yellow Stripe-Like2 (YSL2): a metal-regulated gene encoding a plasma membrane transporter of nicotianamine–metal complexes. Plant J 39:403–414

    Article  CAS  Google Scholar 

  • Gonthier P, Sillo F, Lagostina E, Roccotelli A, Santa Cacciola O, Stenlid J, Garbelotto M (2015) Selection processes in simple sequence repeats suggest a correlation with their genomic location: insights from a fungal model system. BMC Genom 16:1107

    Article  Google Scholar 

  • Gupta HS, Hossain F, Muthusamy V, Zunjare RU (2019) Marker-assisted breeding for enrichment of provitamin A in maize. In: Qureshi A, Dar Z, Wani S (eds) Quality breeding in field crops. Springer, Cham, pp 139–157

    Chapter  Google Scholar 

  • ICMR (2010) Nutrient requirements and recommended dietary allowances for Indians: a report of the expert group of the Indian Council of Medical Research, pp 6

  • International Food Policy Research Institute (2018) Global food policy report. International Food Policy Research Institute, Washington, DC. https://doi.org/10.2499/9780896292970

  • Jaiswal SK, Muthusamy V, Hossain F, Zunjare RU, Goswami R, Chhabra R, Chand G, Dosad S, Bhowmik R, Guleria SK, Pattanayak A, Gupta HS (2019) Characterization of maize genotypes using microsatellite markers associated with QTLs for kernel iron and zinc. Indian J Biotechnol 18:224–234

    CAS  Google Scholar 

  • Jung WH (2015) The zinc transport systems and their regulation in pathogenic fungi. Mycobiology 43(3):179–183

    Article  Google Scholar 

  • Kobayashi T, Nishizawa NK (2012) Iron uptake, translocation, and regulation in higher plants. Annu Rev Plant Biol 63:131–152

    Article  CAS  Google Scholar 

  • Lee S, Jeong HJ, Kim SA, Lee J, Guerinot ML (2010) OsZIP5 is a plasma membrane zinc transporter in rice. Plant Mol Biol 73:507–517

    Article  CAS  Google Scholar 

  • Li S, Zhou X, Huang Y, Zhu L, Zhang S, Zhao Y, Guo J, Chen J, Chen R (2013) Identification and characterization of the zinc-regulated transporters, iron-regulated transporter-like protein (ZIP) gene family in maize. BMC Plant Biol 13:114

    Article  Google Scholar 

  • Lin YF, Liang HM, Yang SY, Boch A, Clemens S, Chen CC, Wu JF, Huang JL, Yeh KC (2009) Arabidopsis IRT3 is a zinc-regulated and plasma membrane localized zinc/iron transporter. New Phytol 182(2):392–404

    Article  CAS  Google Scholar 

  • Liu K, Muse SV (2005) PowerMarker: integrated analysis environment for genetic marker data. Bioinformatics 21:2128–2129

    Article  CAS  Google Scholar 

  • Long JK, Banziger M, Smith ME (2004) Diallel analysis of grain iron and zinc density in Southern African adapted maize inbreds. Crop Sci 44:2019–2026

    Article  Google Scholar 

  • Mallikarjuna MG, Thirunavukkarasu N, Hossain F, Bhat JS, Jha SK, Rathore A, Agrawal PK, Pattanayak A, Reddy SS, Gularia SK, Singh AM (2015) Stability performance of inductively coupled plasma mass spectrometry-phenotyped kernel minerals concentration and grain yield in maize in different agro-climatic zones. PloS One 10:1–24

    Google Scholar 

  • Moll RH, Lonquist JH, Fortuno JV, Johnson EC (1965) The relationship of heterosis and genetic divergence in maize. Genetics 52:139–144

    Article  CAS  Google Scholar 

  • Morgante M, Hanafey M, Powell W (2002) Microsatellites are preferentially associated with nonrepetitive DNA in plant genomes. Nat Genet 30:194–200

    Article  CAS  Google Scholar 

  • Pandey N, Hossain F, Kumar K, Vishwakarma AK, Muthusamy V, Manjaiah KM, Agrawal PK, Guleria SK, Reddy SS, Nepolean T, Gupta HS (2015) Microsatellite marker-based genetic diversity among quality protein maize (QPM) inbreds differing for kernel iron and zinc. Mol Plant Breed 6:1–10

    Google Scholar 

  • Perrier X, Flori A, Bonnot F (2003) Data analysis methods. In: Hamon P, Seguin M, Perrier X, Glaszmann JC (eds) Genetic diversity of cultivated tropical plants. Science Publishers Montpellier, Enfield, pp 43–76

    Google Scholar 

  • Prasanna BM, Mazumdar S, Chakraborti M, Hossain F, Manjaiah KM, Agrawal PK, Guleria SK, Gupta HS (2011) Genetic variability and genotype x environment interactions for kernel iron and zinc concentrations in maize (Zea mays L.). Indian J Agric Sci 81(8):704–711

    CAS  Google Scholar 

  • Prasanna BM, Palacios-Rojas N, Hossain F, Muthusamy V, Menkir A, Dhliwayo T, Ndhlela T, San Vicente F, Nair SK, Vivek BS, Zhang X, Olsen M, Fan X (2020) Molecular breeding for nutritionally enriched maize: status and prospects. Front Genet 10:1392. https://doi.org/10.3389/fgene.2019.01392

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sharma A, Chauhan RS (2008) Identification of candidate gene-based markers (SNPs and SSRs) in the zinc and iron transporter sequences of maize (Zea mays L.). Curr Sci 95(8):1051–1059

    CAS  Google Scholar 

  • Sperotto RA, Boff T, Duarte GL, Santos LS, Grusak MA, Fett JP (2010) Identification of putative target genes to manipulate Fe and Zn concentrations in rice grains. J Plant Physiol 167:1500–1506

    Article  CAS  Google Scholar 

  • World Health Organization (2019) World health statistics 2019: monitoring health for the SDGs, sustainable development goals

  • Xu J, Liu L, Xu Y, Chen C, Rong T, Ali F, Lu Y (2013) Development and characterization of simple sequence repeat markers providing genome-wide coverage and high resolution in maize. DNA Res 20:497–509

    Article  CAS  Google Scholar 

  • Yadava DK, Hossain F, Mohapatra T (2018) Nutritional security through crop biofortification in India: status & future prospects. Indian J Med Res 148:621–631

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The first author has undertaken the research work under the ‘Professional Attachment Training’ as a newly joined scientist at ICAR-VPKAS, Almora. Financial support received from ICAR-IARI, New Delhi is duly acknowledged.

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Genotyping: DS, Mining of candidate genes: RC; Search of markers: VM, Software analysis: RUZ, Manuscript preparation: FH and DS, Design of experiment: FH.

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Correspondence to Firoz Hossain.

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Sharma, D., Chhabra, R., Muthusamy, V. et al. Molecular characterization of elite maize (Zea mays L.) inbreds using markers associated with iron and zinc transporter genes. Genet Resour Crop Evol 68, 1545–1556 (2021). https://doi.org/10.1007/s10722-020-01084-2

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