TABLE 2.
Study of functional foods in cereals and millets using biotechnological approaches.
| S. No | Crop | Functional food | Gene(s)/QTL(s) | Methodology | References |
|---|---|---|---|---|---|
| 1 | Rice | β-carotene | Daffodil &crtI gene | Transgenic and expression studies | Beyer et al. (2002) |
| GtHMG1, GZmPsy1 and GPaCrtI1 genes | Tian et al. (2019) | ||||
| Fe and Zn | Ferritin | Transgenic and interval mapping | Lucca et al., 2002; Vasconcelos et al., 2003; Zhang et al., 2014 | ||
| genes (OsMTP6, OsNAS3, OsMT2D, OsVIT1, and OsNRAMP7) and 7 QTLs for each Fe and Zn | GWAS | Descalsota et al. (2018) | |||
| 48 MQTLs and 8 genes related to grain Fe and Zn concentration | MQTL analysis | Raza et al. (2019) | |||
| α-linolenic acid rich | chimeric gene consisting of a maize Ubi1-P-int and a soybean GmFAD3 cDNA | Transgenics | Anai et al. (2003) | ||
| Astaxanthin | sZmPSY1, sPaCrtI, sCrBKT, and sHpBHY genes | Transgenics | Zhu et al. (2018) | ||
| α-tocopherol | OsGGR2 gene | RNA interference | Kimura et al. (2018) | ||
| Phytic acid | OsITP5/6K-1 gene | RNA interference | Karmakar et al. (2020) | ||
| Resistant starch | sbe3-rs gene | MAS | Yang et al. (2020) | ||
| 2 | Wheat | Micronutrients and Vitamins | Gpc-B1 gene and DArT markers | MAS | Distelfield et al., 2006; Uauy et al., 2006 |
| Zn, Fe, Cu, Mn, Se rich | QTLs for Zn, Fe, Cu, Mn, Se | Interval mapping | Pu et al. (2014) | ||
| Anthocyanins |
Ba gene Pp3 and Pp-D1 genes |
MAS | Gordeeva et al., 2019; Gordeeva et al., 2020 | ||
| 3 | Wheat and Barley | PUFAs | Artificial D6-desaturase gene | Transgenics using the biolistic method | Čertík et al. (2013) |
| 4 | Sorghum | Lysine | BHL-9 | Transgenics | Zhao et al. (2003) |
| Protein | hl gene and P721 opaque gene | Mutation breeding and MAS | Axtell et al., 1979; Welch and Graham, 2004 | ||
| Vitamin A | Prolamin and lysine alpha-ketoglutarate reductase genes z | Transgenics | Lipkie et al. (2013) | ||
| Fe and Zn | QTLs and candidate genes like CYP71B34, ZFP 8 | QTL mapping | Kotla et al. (2019) | ||
| starch and amylose | Grain quality/starch pathway genes Sh2, Bt2, SssI, Ae1, and Wx | GWAS | De Alencar Figueiredo et al. (2010) | ||
| Tannin antioxidant | tan-1, tan-1a and tan-1b | GWAS and expression analysis | Wu et al. (2012) | ||
| β-carotene andZeaxanthin | 3 QTLs for β carotene and 4 QTLs forZeaxanthin | GWAS | Cruet-Burgos et al. (2020) | ||
| 5 | Maize | Vitamin C and E rich | DHAR cDNA | Transgenics | Chen et al. (2003) |
| pro-vitamin A | crtB and crtI | Transgenics | Aluru et al. (2008) | ||
| lcyE | MAS | Yang et al. (2018) | |||
| lcyE, crtRB1, and o2 | MABB | Sagare et al. (2019) | |||
| Fe and Zn | SNPs associated with kernel Fe and Zn content | GWAS and QTL mapping | Hindu et al. (2018) | ||
| 6 | Barley | Hordothionin rich | Hordothionin | Mutation breeding and MAS | Rao et al. (1994) |
| β-glucan | Csl genes and QTLs | GWAS and paired-end-RNA sequencing-based transcriptome | Cai et al., 2013; Chen et al., 2014; Shu and Rasmussen 2014 | ||
| Malting protein | 13–30 candidate genes like metallothionein, α-amylase, α-glucosidase, limit dextrinase, and β-ketoacyl synthase | cDNA array-based gene expression analysis and SAGE | White et al., 2006; Lapitan et al., 2009 | ||
| Palatable and easily digestible | starch branching enzymes SBEIIa and SBEIIb | RNAi technology | Regina et al. (2010) | ||
| — | 20 QTLs associated with TPC, FLC and AOA | GWAS | Han et al. (2018) | ||
| 7 | Oats | β-glucan | QTL’s for β-glucan | GWAS, MAS, QTL mapping | Gazal et al. (2014) |
| 8 | Pearl millet | Fe and Zn | QTLs (11 for Fe and 8 QTLs for Zn) | QTL mapping | Kumar et al. (2018) |
| 9 | Finger millet | Calcium | Calmodulin and Cax1 transporter genes | Differential expression/accumulation | Kumar et al. (2014) |
| 10 | Foxtail millet (Setaria italica) | storage associated genes | storage associated genes and noncoding RNAs | Transcriptome analysis | Qi et al. (2013) |