Genome-wide association analysis of grain iron and zinc in rice grown under agroclimatic sites with contrasting soil iron status

被引:0
作者
Kumar, Amit [2 ]
Singh, Vikram Jeet [3 ]
Bhowmick, Prolay Kumar [1 ]
Nandakumar, Shekharappa [1 ]
Yadav, Sunaina [1 ]
Krishnan, Subbaiyan Gopala [1 ]
Ellur, Ranjith Kumar [1 ]
Bollinedi, Haritha [1 ]
Singh, Ashok Kumar [1 ]
Vinod, Kunnummal Kurungara [1 ]
机构
[1] ICAR Indian Agr Res Inst, Div Genet, New Delhi, India
[2] ICAR Res Complex North Eastern Hill NEH Reg, Div Crop Sci, Umiam, Meghalaya, India
[3] Acharya Narendra Deva Univ Agr & Technol, Dept Seed Sci & Technol, Ayodhya, India
关键词
grain iron; iron toxicity; biofortification; GWAS; haplotype analysis; BIOFORTIFICATION; AVAILABILITY; TOXICITY;
D O I
10.3389/fpls.2025.1501878
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Introduction Iron (Fe) content in soil can influence rice cultivation, inciting responses ranging from deficiency to toxicity. Fe toxicity is a major constraint, particularly in areas where acidic soils predominate. Grain Fe content along with Zn is a major contemporary breeding objective in rice in order to tackle micronutrient deficiency. There is no information available on the influence of soil Fe levels, normal and excess, can influence grain micronutrient contents, particularly in rice genotypes that are tolerant to excess soil Fe.Methods In this study, a subset of 170 rice germplasm lines from the 3K panel were evaluated for grain Fe and Zn concentrations in brown rice across three different locations. Additionally, the response of these lines to Fe toxicity was assessed at one location.Results Significant phenotypic variation for both traits was observed. Fe toxicity led to increased grain Fe content but decreased Fe uptake efficiency (IAE), suggesting an adaptive mechanism to limit excess Fe absorption in the rhizosphere. Five significant single-nucleotide polymorphisms (SNPs) associated with grain Fe (qGFe1.1 ADT, qGFe2.1 BPN-S, qGFe8.1 ADT, qGFe12.1 ADT, and qGFe12.2 BPN-N) were identified on chromosomes 1, 2, 8, and 12, while one SNP associated with grain Zn (qGZn12.1 BPN-N) was detected on chromosome 12. These SNPs co-localized with major genes and QTLs involved in heavy-metal homeostasis and transport, including OsMT2D and Os12g0435000. Superior haplotypes for two candidate genes were identified, with the analysis revealing their frequencies and allelic effects in different subgroups. Two marker-trait associations (MTAs), qGFe12.1 ADT and qGZn12.1 BPN-N, were validated in an F2:3 population using linked SSR markers.Discussion These validated MTAs provide valuable genetic resources for biofortification breeding programs aimed at increasing Fe and Zn concentrations in rice grains, addressing micronutrient deficiencies among rice-dependent populations.
引用
收藏
页数:17
相关论文
共 71 条
[51]   Physio-biochemical and molecular assessment of Iron (Fe2+) toxicity responses in contrasting indigenous aromatic Joha rice cultivars of Assam, India [J].
Regon, Preetom ;
Dey, Sangita ;
Chowardhara, Bhaben ;
Saha, Bedabrata ;
Kar, Saradia ;
Tanti, Bhaben ;
Panda, Sanjib Kumar .
PROTOPLASMA, 2021, 258 (02) :289-299
[52]   Structure of linkage disequilibrium and phenotypic associations in the maize genome [J].
Remington, DL ;
Thornsberry, JM ;
Matsuoka, Y ;
Wilson, LM ;
Whitt, SR ;
Doeblay, J ;
Kresovich, S ;
Goodman, MM ;
Buckler, ES .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (20) :11479-11484
[53]   Enhancement of Photosynthetic Iron-Use Efficiency Is an Important Trait of Hordeum vulgare for Adaptation of Photosystems to Iron Deficiency [J].
Saito, Akihiro ;
Shinjo, Shotaro ;
Ito, Daiki ;
Doi, Yuko ;
Sato, Akira ;
Wakabayashi, Yuna ;
Honda, Juma ;
Arai, Yuka ;
Maeda, Tsubasa ;
Ohyama, Takuji ;
Higuchi, Kyoko .
PLANTS-BASEL, 2021, 10 (02) :1-25
[54]  
Sales N., 2013, Proceedings of the 12th National Convention on Statistics, P1
[55]  
Sandhu N, 2019, ADVANCES IN RICE RESEARCH FOR ABIOTIC STRESS TOLERANCE, P737, DOI 10.1016/B978-0-12-814332-2.00036-8
[56]   Editorial: Iron Nutrition and Interactions in Plants [J].
Schmidt, Wolfgang ;
Thomine, Sebastien ;
Buckhout, Thomas J. .
FRONTIERS IN PLANT SCIENCE, 2020, 10
[57]   Meta-QTL analysis in wheat: progress, challenges and opportunities [J].
Sharma, Divya ;
Kumari, Anita ;
Sharma, Priya ;
Singh, Anupma ;
Sharma, Anshu ;
Mir, Zahoor Ahmad ;
Kumar, Uttam ;
Jan, Sofora ;
Parthiban, M. ;
Mir, Reyazul Rouf ;
Bhati, Pradeep ;
Pradhan, Anjan Kumar ;
Yadav, Aakash ;
Mishra, Dwijesh Chandra ;
Budhlakoti, Neeraj ;
Yadav, Mahesh C. ;
Gaikwad, Kiran B. ;
Singh, Amit Kumar ;
Singh, Gyanendra Pratap ;
Kumar, Sundeep .
THEORETICAL AND APPLIED GENETICS, 2023, 136 (12)
[58]  
Sudhir Kumar Sudhir Kumar, 2017, Oryza, V54, P1
[59]   Iron Biofortification in Rice: An Update on Quantitative Trait Loci and Candidate Genes [J].
Swamy, B. P. Mallikarjuna ;
Marathi, Balram ;
Ribeiro-Barros, Ana I. F. ;
Calayugan, Mark Ian C. ;
Ricachenevsky, Felipe Klein .
FRONTIERS IN PLANT SCIENCE, 2021, 12
[60]   SRplot: A free online platform for data visualization and graphing [J].
Tang, Doudou ;
Chen, Mingjie ;
Huang, Xinhua ;
Zhang, Guicheng ;
Zeng, Lin ;
Zhang, Guangsen ;
Wu, Shangjie ;
Wang, Yewei .
PLOS ONE, 2023, 18 (11)