Literature DB >> 22071312

Quantitative trait loci for biofortification traits in maize grain.

Domagoj Simić1, Snezana Mladenović Drinić, Zvonimir Zdunić, Antun Jambrović, Tatjana Ledencan, Josip Brkić, Andrija Brkić, Ivan Brkić.   

Abstract

Detecting genes that influence biofortification traits in cereal grain could help increase the concentrations of bioavailable mineral elements in crops to solve the global mineral malnutrition problem. The aims of this study were to detect the quantitative trait loci (QTLs) for phosphorus (P), iron (Fe), zinc (Zn), and magnesium (Mg) concentrations in maize grain in a mapping population, as well as QTLs for bioavailable Fe, Zn, and Mg, by precalculating their respective ratios with P. Elemental analysis of grain samples was done by coupled plasma-optical emission spectrometry in 294 F(4) lines of a biparental population taken from field trials of over 3 years. The population was mapped using sets of 121 polymorphic markers. QTL analysis revealed 32 significant QTLs detected for 7 traits, of which some were colocalized. The Additive-dominant model revealed highly significant additive effects, suggesting that biofortification traits in maize are generally controlled by numerous small-effect QTLs. Three QTLs for Fe/P, Zn/P, and Mg/P were colocalized on chromosome 3, coinciding with simple sequence repeats marker bnlg1456, which resides in close proximity to previously identified phytase genes (ZM phys1 and phys2). Thus, we recommend the ratios as bioavailability traits in biofortification research.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22071312     DOI: 10.1093/jhered/esr122

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  16 in total

1.  Integration of Experiments across Diverse Environments Identifies the Genetic Determinants of Variation in Sorghum bicolor Seed Element Composition.

Authors:  Nadia Shakoor; Greg Ziegler; Brian P Dilkes; Zachary Brenton; Richard Boyles; Erin L Connolly; Stephen Kresovich; Ivan Baxter
Journal:  Plant Physiol       Date:  2016-02-19       Impact factor: 8.340

2.  Genome-Wide Association Analysis Reveals the Genetic Basis of Iron-Deficiency Stress Tolerance in Maize.

Authors:  Jianqin Xu; Weiya Xu; Xulei Chen; Huaqing Zhu; Xiuyi Fu; Futong Yu
Journal:  Front Plant Sci       Date:  2022-06-02       Impact factor: 6.627

3.  Marker-assisted pyramiding of γ-tocopherol methyltransferase and glutamate formiminotransferase genes for development of biofortified sweet corn hybrids.

Authors:  Guihua Lv; Xiaolong Chen; Duo Ying; Jiansheng Li; Yinghu Fan; Bin Wang; Ruiqiu Fang
Journal:  PeerJ       Date:  2022-07-06       Impact factor: 3.061

4.  Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.).

Authors:  Riliang Gu; Fanjun Chen; Bingran Liu; Xin Wang; Jianchao Liu; Pengcheng Li; Qingchun Pan; Jordon Pace; Ayaz-Ali Soomro; Thomas Lübberstedt; Guohua Mi; Lixing Yuan
Journal:  Theor Appl Genet       Date:  2015-06-10       Impact factor: 5.699

5.  Comparative mapping combined with homology-based cloning of the rice genome reveals candidate genes for grain zinc and iron concentration in maize.

Authors:  Tiantian Jin; Jingtang Chen; Liying Zhu; Yongfeng Zhao; Jinjie Guo; Yaqun Huang
Journal:  BMC Genet       Date:  2015-02-14       Impact factor: 2.797

Review 6.  Genetic Basis and Breeding Perspectives of Grain Iron and Zinc Enrichment in Cereals.

Authors:  Ana Luisa Garcia-Oliveira; Subhash Chander; Rodomiro Ortiz; Abebe Menkir; Melaku Gedil
Journal:  Front Plant Sci       Date:  2018-07-02       Impact factor: 5.753

7.  Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines.

Authors:  Christian Riedelsheimer; Frank Technow; Albrecht E Melchinger
Journal:  BMC Genomics       Date:  2012-09-04       Impact factor: 3.969

8.  The genetic architecture of zinc and iron content in maize grains as revealed by QTL mapping and meta-analysis.

Authors:  Tiantian Jin; Jinfeng Zhou; Jingtang Chen; Liying Zhu; Yongfeng Zhao; Yaqun Huang
Journal:  Breed Sci       Date:  2013-09-01       Impact factor: 2.086

9.  Abiotic stress growth conditions induce different responses in kernel iron concentration across genotypically distinct maize inbred varieties.

Authors:  Catherine B Kandianis; Abigail S Michenfelder; Susan J Simmons; Michael A Grusak; Ann E Stapleton
Journal:  Front Plant Sci       Date:  2013-12-04       Impact factor: 5.753

10.  Quantitative Trait Loci and Inter-Organ Partitioning for Essential Metal and Toxic Analogue Accumulation in Barley.

Authors:  Stefan Reuscher; Andreas Kolter; Astrid Hoffmann; Klaus Pillen; Ute Krämer
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.