Quantitative Trait Loci and Candidate Genes for Iron and Zinc Bio-fortification in Genetically Diverse Germplasm of Maize ( L): A Systematic Review

Overview

Journal Heliyon

Specialty Social Sciences

Date 2023 Jan 9

PMID 36619433

Authors

Bikas Basnet

Shovit Khanal

Affiliations

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Abstract

Genetically and economically, Maize plays a pivotal role in tackling Iron-Zinc mineral deficiency through the crop's biofortification approach to high-yielding cultivars. The objective of this study is to summarize quantitative trait loci (QTL) is useful for identifying novel genes of interest in diverse germplasm for understanding the exact genetic mechanism for Iron and zinc uptake, deposition, and biosynthesis in endosperm. various techniques like Germplasm Genetic Wide Association, QTL meta-analysis, and biparental linkage analysis are used by researchers in diverse germplasm of Maize for the gene of interest marking and are extracted as secondary information through a systematic review of scientific published sources in peer-reviewed sites. A literature review was focused on quantitative trait loci with candidate genes from different families like YS, NRAMP, ferritin, Cation efflux, etc., and cloned four phytase soluble genes which influence the concentration as well as bioavailability of Fe & Zn in the endosperm. More than 30 QTLs with 15-Fe, 17-Zn; 10 Meta QTLS are common and linked with micronutrient concentration as well 17 candidate genes from different families are responsible for the zinc-iron deposition on the endosperm. More than 46 Fe-Zn (20 + 26) SNPs and 22 SNPs (10 + 12) on nine different chromosomes play a significant role in the variation of the mineral value of inbreeds and Double haploid Bi-parental population of . In Rice and Maize, five different chromosomes are collinear for the uptake to deposition of these minerals in the endosperm. The success of marker-based biofortification depends upon the nature of germplasm, the gap between flanking marker and targeted genes, the selection of genotypes in each generation, and genotype-environment interaction which are the future area of study. This study can assist the breeders in fast-tracking Fe and Zn biofortification through frequency multiplication of these desired loci of Maize.

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Quantitative trait loci and candidate genes for iron and zinc bio-fortification in genetically diverse germplasm of maize ( L): A systematic review.

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References

Xu J, Qin X, Ni Z, Chen F, Fu X, Yu F . Identification of Zinc Efficiency-Associated Loci (s) and Candidate Genes for Zn Deficiency Tolerance of Two Recombination Inbred Line Populations in Maize. Int J Mol Sci. 2022; 23(9). PMC: 9106061. DOI: 10.3390/ijms23094852. View

Muthusamy V, Hossain F, Thirunavukkarasu N, Choudhary M, Saha S, Bhat J . Development of β-carotene rich maize hybrids through marker-assisted introgression of β-carotene hydroxylase allele. PLoS One. 2014; 9(12):e113583. PMC: 4259329. DOI: 10.1371/journal.pone.0113583. View

Khan M, Castro-Guerrero N, Mendoza-Cozatl D . Moving toward a precise nutrition: preferential loading of seeds with essential nutrients over non-essential toxic elements. Front Plant Sci. 2014; 5:51. PMC: 3929903. DOI: 10.3389/fpls.2014.00051. View

Suwarno W, Pixley K, Palacios-Rojas N, Kaeppler S, Babu R . Genome-wide association analysis reveals new targets for carotenoid biofortification in maize. Theor Appl Genet. 2015; 128(5):851-64. PMC: 4544543. DOI: 10.1007/s00122-015-2475-3. View

Lungaho M, Mwaniki A, Szalma S, Hart J, Rutzke M, Kochian L . Genetic and physiological analysis of iron biofortification in maize kernels. PLoS One. 2011; 6(6):e20429. PMC: 3110754. DOI: 10.1371/journal.pone.0020429. View

Basnet B, Khanal S . Quantitative trait loci and candidate genes for iron and zinc bio-fortification in genetically diverse germplasm of maize ( L): A systematic review. Heliyon. 2023; 8(12):e12593. PMC: 9813765. DOI: 10.1016/j.heliyon.2022.e12593. View

Hindu V, Palacios-Rojas N, Babu R, Suwarno W, Rashid Z, Usha R . Identification and validation of genomic regions influencing kernel zinc and iron in maize. Theor Appl Genet. 2018; 131(7):1443-1457. PMC: 6004279. DOI: 10.1007/s00122-018-3089-3. View

Nozoye T, Nakanishi H, K Nishizawa N . Characterizing the crucial components of iron homeostasis in the maize mutants ys1 and ys3. PLoS One. 2013; 8(5):e62567. PMC: 3648533. DOI: 10.1371/journal.pone.0062567. View

Prasanna B, Palacios-Rojas N, Hossain F, Muthusamy V, Menkir A, Dhliwayo T . Molecular Breeding for Nutritionally Enriched Maize: Status and Prospects. Front Genet. 2020; 10:1392. PMC: 7046684. DOI: 10.3389/fgene.2019.01392. View

10.

Goredema-Matongera N, Ndhlela T, Magorokosho C, Kamutando C, van Biljon A, Labuschagne M . Multinutrient Biofortification of Maize ( L.) in Africa: Current Status, Opportunities and Limitations. Nutrients. 2021; 13(3). PMC: 8004732. DOI: 10.3390/nu13031039. View

11.

Roohani N, Hurrell R, Kelishadi R, Schulin R . Zinc and its importance for human health: An integrative review. J Res Med Sci. 2013; 18(2):144-57. PMC: 3724376. View

12.

Lombi E, Scheckel K, Pallon J, Carey A, Zhu Y, Meharg A . Speciation and distribution of arsenic and localization of nutrients in rice grains. New Phytol. 2009; 184(1):193-201. DOI: 10.1111/j.1469-8137.2009.02912.x. View

13.

Zunjare R, Hossain F, Muthusamy V, Baveja A, Chauhan H, Bhat J . Development of Biofortified Maize Hybrids through Marker-Assisted Stacking of βε and Genes. Front Plant Sci. 2018; 9:178. PMC: 5826225. DOI: 10.3389/fpls.2018.00178. View

14.

Gu R, Chen F, Liu B, Wang X, Liu J, Li P . Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.). Theor Appl Genet. 2015; 128(9):1777-89. DOI: 10.1007/s00122-015-2546-5. View

15.

Ma J, Liu Y, Zhang P, Chen T, Tian T, Wang P . Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.). BMC Plant Biol. 2022; 22(1):607. PMC: 9784057. DOI: 10.1186/s12870-022-03989-9. View

16.

Pilu R, Panzeri D, Gavazzi G, Rasmussen S, Consonni G, Nielsen E . Phenotypic, genetic and molecular characterization of a maize low phytic acid mutant (lpa241). Theor Appl Genet. 2003; 107(6):980-7. DOI: 10.1007/s00122-003-1316-y. View

17.

Mager S, Schonberger B, Ludewig U . The transcriptome of zinc deficient maize roots and its relationship to DNA methylation loss. BMC Plant Biol. 2018; 18(1):372. PMC: 6307195. DOI: 10.1186/s12870-018-1603-z. View

18.

Swamy B, Marathi B, Ribeiro-Barros A, Calayugan M, Ricachenevsky F . Iron Biofortification in Rice: An Update on Quantitative Trait Loci and Candidate Genes. Front Plant Sci. 2021; 12:647341. PMC: 8187908. DOI: 10.3389/fpls.2021.647341. View

19.

Benke A, Urbany C, Marsian J, Shi R, von Wiren N, Stich B . The genetic basis of natural variation for iron homeostasis in the maize IBM population. BMC Plant Biol. 2014; 14:12. PMC: 3890576. DOI: 10.1186/1471-2229-14-12. View

20.

Ogo Y, Itai R, Nakanishi H, Inoue H, Kobayashi T, Suzuki M . Isolation and characterization of IRO2, a novel iron-regulated bHLH transcription factor in graminaceous plants. J Exp Bot. 2006; 57(11):2867-78. DOI: 10.1093/jxb/erl054. View