QTL Analysis for Grain Iron and Zinc Concentrations in Two O. nivara Derived Backcross Populations

Swamy, B. P. Mallikarjuna; Kaladhar, K.; Kotla, Anuradha; Batchu, Anil K.; Thingnganing, Longvah; Neelamraju, Sarla

doi:10.1016/j.rsci.2018.06.003

Cited by 74 publications

(52 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case also, as reported earlier, we observed a pattern of polygenic inheritance of the Fe and Zn concentration from their normal distribution under both locations. This is in line with previous studies that demonstrated complex and multi-factorial inheritance of Fe and Zn in rice grain (Huang et al, 2015;Descalsota et al, 2018;Swamy et al, 2018).…”

Section: Discussionsupporting

confidence: 93%

“…Biofortification of popular rice varieties with mineral micronutrients, especially Fe and Zn, is a sustainable solution to tackle hidden hunger. However, polygenic inheritance of grain micronutrient accumulation in rice (Huang et al, 2015;Descalsota et al, 2018;Swamy et al, 2018) makes it relatively difficult to map multiple genes using a biparental population, when the genes have low individual effects and are sparsely distributed in the gene pool. A GWAS therefore offers a dual advantage of analyzing the extensive trait variation among the germplasm lines and identifying several genomic regions affecting the trait.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Genome-Wide Association Study Reveals Novel Marker-Trait Associations (MTAs) Governing the Localization of Fe and Zn in the Rice Grain

et al. 2020

View full text Add to dashboard Cite

Micronutrient malnutrition due to Fe and Zn, affects around two billion people globally particularly in the developing countries. More than 90% of the Asian population is dependent on rice-based diets, which is low in these micronutrients. In the present study, a set of 192 Indian rice germplasm accessions, grown at two locations, were evaluated for Fe and Zn in brown rice (BR) and milled rice (MR). A significant variation was observed in the rice germplasm for these micronutrients. The grain Fe concentration was in the range of 6.2-23.1 ppm in BR and 0.8-12.3 ppm in MR, while grain Zn concentration was found to be in the range of 11.0-47.0 ppm and 8.2-40.8 ppm in the BR and MR, respectively. Grain Fe exhibited maximum loss upon milling with a mean retention of 24.9% in MR, while Zn showed a greater mean retention of 74.2% in MR. A genome-wide association study (GWAS) was carried out implementing the FarmCPU model to control the population structure and kinship, and resulted in the identification of 29 marker-trait associations (MTAs) with significant associations for traits viz. FeBR (6 MTAs), FeMR (7 MTAs), ZnBR (11 MTAs), and ZnMR (5 MTAs), which could explain the phenotypic variance from 2.1 to as high as 53.3%. The MTAs governing the correlated traits showed co-localization, signifying the possibility of their simultaneous improvement. The robust MTAs identified in the study could be valuable resource for enhancing Fe and Zn concentration in the rice grain and addressing the problem of Fe and Zn malnutrition among rice consumers.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Genome-Wide Association Study Reveals Novel Marker-Trait Associations (MTAs) Governing the Localization of Fe and Zn in the Rice Grain

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Similarly, in this work, grain iron and zinc contents were positively correlated and presented similar correlations with other traits. Swamy, Kaladhar, et al () attributed the positive correlation between iron and zinc contents to commonalities among the pathways and genetic networks of iron and zinc uptake, translocation, and loading in rice. Given the significant positive correlation between iron and zinc contents, rice varieties with high grain iron and zinc contents can be developed by selecting for these two traits simultaneously or independently.…”

Section: Discussionmentioning

confidence: 99%

“…Swamy, Descalsota, et al () identified one QTL for iron on chromosome 4 and QTL for zinc on chromosomes 2 and 11 in DH populations from crosses between PSBRc82 and Joryeongbyeo and between PSBRc82 and IR69428. Furthermore, Swamy, Kaladhar, et al () reported that QTL for iron and zinc contents are closely colocated in two BC 2 F 3 mapping populations developed by crossing the indica cultivar 'Swarna' with two different accessions of O. nivara . The chromosomal locations of qFe2.1, qFe3.1, qFe8.2 and qZn12.1 are consistent in the two populations.…”

Section: Discussionmentioning

confidence: 99%

“…They also identified six digenic interactions for grain zinc content involving loci on chromosomes 1 and 7. Swamy, Kaladhar, et al () detected epistatic interaction between QTL for iron concentration in the marker interval RM106 and RM6 on chromosome 2 and between RM22 and RM7 on chromosome 3. Moreover, they found two epistatic interactions for zinc concentration: one between loci on chromosomes 5 and 9 and another between loci on chromosomes 3 and 5.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of QTL responsible for grain iron and zinc content in doubled haploid lines of rice (Oryza sativa) derived from an intra‐japonica cross

et al. 2020

View full text Add to dashboard Cite

Quantitative trait loci (QTL) related to the grain iron and zinc contents of brown rice were mapped by using a doubled haploid population derived from an intra-japonica cross between 'Hwaseonchal' and 'Goami 2'. QTL-QTL, background-QTL, and backgroundbackground interactions and candidate genes that affect grain iron and zinc contents were preliminarily identified. Twenty-one iron-and zinc-related QTL were found. The major-effect QTL qFe7 and qZn7 provided the highest contribution to phenotypic variance for grain iron and zinc contents. The colocation of zinc-and iron-related QTL on chromosomes 1, 4, 7 and 11 may account for the strong correlation between iron and zinc contents. A region on chromosome 7 and epistatic interaction between loci on chromosomes 2 and 10 affected iron content. qZn7 and qZn11.3 exerted additive effects on zinc content. Eleven iron-and zinc-related candidate genes colocated with qFe7, qZn7 and the region on chromosome 7 with an additive effect on iron content.The major-effect QTL identified here may be useful for breeding biofortified rice. K E Y W O R D Scandidate gene, doubled haploid, iron, japonica rice, quantitative trait loci, zinc | 345 JEONG Et al.

show abstract

Molecular Breeding for Iron Bio‐Fortification in Rice Grain: Recent Progress and Future Perspectives

Pandit

Pawar

Sanghamitra

et al. 2021

Molecular Breeding for Rice Abiotic Stress Tolerance and Nutritional Quality

View full text Add to dashboard Cite

QTL Analysis for Grain Iron and Zinc Concentrations in Two O. nivara Derived Backcross Populations

Cited by 74 publications

References 50 publications

Genome-Wide Association Study Reveals Novel Marker-Trait Associations (MTAs) Governing the Localization of Fe and Zn in the Rice Grain

Genome-Wide Association Study Reveals Novel Marker-Trait Associations (MTAs) Governing the Localization of Fe and Zn in the Rice Grain

Analysis of QTL responsible for grain iron and zinc content in doubled haploid lines of rice (Oryza sativa) derived from an intra‐japonica cross

Molecular Breeding for Iron Bio‐Fortification in Rice Grain: Recent Progress and Future Perspectives

Contact Info

Product

Resources

About