Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet
Pearl millet is a climate-resilient, nutritious crop with low input requirements that could provide economic returns in marginal agro-ecologies. In this study, we report quantitative trait loci (QTLs) for iron (Fe) and zinc (Zn) content from three distinct production environments. We generated a gen...
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Frontiers Media S.A.
2021-05-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2021.659789/full |
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| author | Tripti Singhal C. Tara Satyavathi S. P. Singh Aruna Kumar S. Mukesh Sankar C. Bhardwaj M. Mallik Jayant Bhat N. Anuradha Nirupma Singh |
| author_facet | Tripti Singhal C. Tara Satyavathi S. P. Singh Aruna Kumar S. Mukesh Sankar C. Bhardwaj M. Mallik Jayant Bhat N. Anuradha Nirupma Singh |
| author_sort | Tripti Singhal |
| collection | DOAJ |
| description | Pearl millet is a climate-resilient, nutritious crop with low input requirements that could provide economic returns in marginal agro-ecologies. In this study, we report quantitative trait loci (QTLs) for iron (Fe) and zinc (Zn) content from three distinct production environments. We generated a genetic linkage map using 210 F6 recombinant inbred line (RIL) population derived from the (PPMI 683 × PPMI 627) cross using genome-wide simple sequence repeats (SSRs). The molecular linkage map (seven linkage groups) of 151 loci was 3,273.1 cM length (Kosambi). The content of grain Fe in the RIL population ranged between 36 and 114 mg/Kg, and that of Zn from 20 to 106 mg/Kg across the 3 years (2014–2016) at over the three locations (Delhi, Dharwad, and Jodhpur). QTL analysis revealed a total of 22 QTLs for grain Fe and Zn, of which 14 were for Fe and eight were for Zn on three consecutive years at all locations. The observed phenotypic variance (R2) explained by different QTLs for grain Fe and Zn content ranged from 2.85 (QGFe.E3.2014–2016_Q3) to 19.66% (QGFe.E1.2014–2016_Q3) and from 2.93 (QGZn.E3.2014–2016_Q3) to 25. 95% (QGZn.E1.2014–2016_Q1), respectively. Two constitutive expressing QTLs for both Fe and Zn co-mapped in this population, one on LG 2 and second one on LG 3. Inside the QTLs candidate genes such as Ferritin gene, Al3+ Transporter, K+ Transporters, Zn2+ transporters and Mg2+ transporters were identified using bioinformatics approaches. The identified QTLs and candidate genes could be useful in pearl millet population improvement programs, seed, restorer parents, and marker-assisted selection programs. |
| first_indexed | 2024-12-17T03:04:48Z |
| format | Article |
| id | doaj.art-5aee0c0ac24648e5b484201aaf90fd97 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-17T03:04:48Z |
| publishDate | 2021-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Plant Science |
| spelling | doaj.art-5aee0c0ac24648e5b484201aaf90fd972022-12-21T22:05:59ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-05-011210.3389/fpls.2021.659789659789Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl MilletTripti Singhal0C. Tara Satyavathi1S. P. Singh2Aruna Kumar3S. Mukesh Sankar4C. Bhardwaj5M. Mallik6Jayant Bhat7N. Anuradha8Nirupma Singh9ICAR-Indian Agricultural Research Institute, New Delhi, IndiaICAR-All India Coordinated Research Project on Pearl Millet, Jodhpur, IndiaICAR-Indian Agricultural Research Institute, New Delhi, IndiaAmity Institute of Biotechnology, Amity University, Noida, IndiaICAR-Indian Agricultural Research Institute, New Delhi, IndiaICAR-Indian Agricultural Research Institute, New Delhi, IndiaICAR-Indian Agricultural Research Institute, New Delhi, IndiaRegional Research Centre, ICAR-Indian Agricultural Research Institute, Dharwad, IndiaAcharya N. G. Ranga Agricultural University, Vizianagaram, IndiaICAR-Indian Agricultural Research Institute, New Delhi, IndiaPearl millet is a climate-resilient, nutritious crop with low input requirements that could provide economic returns in marginal agro-ecologies. In this study, we report quantitative trait loci (QTLs) for iron (Fe) and zinc (Zn) content from three distinct production environments. We generated a genetic linkage map using 210 F6 recombinant inbred line (RIL) population derived from the (PPMI 683 × PPMI 627) cross using genome-wide simple sequence repeats (SSRs). The molecular linkage map (seven linkage groups) of 151 loci was 3,273.1 cM length (Kosambi). The content of grain Fe in the RIL population ranged between 36 and 114 mg/Kg, and that of Zn from 20 to 106 mg/Kg across the 3 years (2014–2016) at over the three locations (Delhi, Dharwad, and Jodhpur). QTL analysis revealed a total of 22 QTLs for grain Fe and Zn, of which 14 were for Fe and eight were for Zn on three consecutive years at all locations. The observed phenotypic variance (R2) explained by different QTLs for grain Fe and Zn content ranged from 2.85 (QGFe.E3.2014–2016_Q3) to 19.66% (QGFe.E1.2014–2016_Q3) and from 2.93 (QGZn.E3.2014–2016_Q3) to 25. 95% (QGZn.E1.2014–2016_Q1), respectively. Two constitutive expressing QTLs for both Fe and Zn co-mapped in this population, one on LG 2 and second one on LG 3. Inside the QTLs candidate genes such as Ferritin gene, Al3+ Transporter, K+ Transporters, Zn2+ transporters and Mg2+ transporters were identified using bioinformatics approaches. The identified QTLs and candidate genes could be useful in pearl millet population improvement programs, seed, restorer parents, and marker-assisted selection programs.https://www.frontiersin.org/articles/10.3389/fpls.2021.659789/fullpearl milletQTL mappingiron and zinc contentSSRRILs |
| spellingShingle | Tripti Singhal C. Tara Satyavathi S. P. Singh Aruna Kumar S. Mukesh Sankar C. Bhardwaj M. Mallik Jayant Bhat N. Anuradha Nirupma Singh Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet Frontiers in Plant Science pearl millet QTL mapping iron and zinc content SSR RILs |
| title | Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet |
| title_full | Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet |
| title_fullStr | Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet |
| title_full_unstemmed | Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet |
| title_short | Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet |
| title_sort | multi environment quantitative trait loci mapping for grain iron and zinc content using bi parental recombinant inbred line mapping population in pearl millet |
| topic | pearl millet QTL mapping iron and zinc content SSR RILs |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2021.659789/full |
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