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
[1]   SNP-Seek database of SNPs derived from 3000 rice genomes [J].
Alexandrov, Nickolai ;
Tai, Shuaishuai ;
Wang, Wensheng ;
Mansueto, Locedie ;
Palis, Kevin ;
Fuentes, Roven Rommel ;
Ulat, Victor Jun ;
Chebotarov, Dmytro ;
Zhang, Gengyun ;
Li, Zhikang ;
Mauleon, Ramil ;
Hamilton, Ruaraidh Sackville ;
McNally, Kenneth L. .
NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) :D1023-D1027
[2]  
[Anonymous], 1988, Statistics, DOI DOI 10.1080/02331888808802080
[3]   Mapping QTLs and candidate genes for iron and zinc concentrations in unpolished rice of Madhukar x Swarna RILs [J].
Anuradha, K. ;
Agarwal, Surekha ;
Rao, Y. Venkateswara ;
Rao, K. V. ;
Viraktamath, B. C. ;
Sarla, N. .
GENE, 2012, 508 (02) :233-240
[4]  
Aravind J, 2021, Zenodo, DOI 10.5281/ZENODO.1310011
[5]   Stress induced and nuclear localized HIPP26 from Arabidopsis thaliana interacts via its heavy metal associated domain with the drought stress related zinc finger transcription factor ATHB29 [J].
Barth, Olaf ;
Vogt, Sebastian ;
Uhlemann, Ria ;
Zschiesche, Wiebke ;
Humbeck, Klaus .
PLANT MOLECULAR BIOLOGY, 2009, 69 (1-2) :213-226
[6]  
Bholowalia P., 2014, INT J COMPUTER APPL, V105, DOI [10.5120/18405-9674, DOI 10.5120/18405-9674]
[7]   Evaluation of rice wild relatives as a source of traits for adaptation to iron toxicity and enhanced grain quality [J].
Bierschenk, Birgit ;
Tagele, Melle Tilahun ;
Ali, Basharat ;
Ashrafuzzaman, M. d. ;
Wu, Lin-Bo ;
Becker, Matthias ;
Frei, Michael .
PLOS ONE, 2020, 15 (01)
[8]   Characterising the diversity of grain nutritional and physico-chemical quality in Indian rice landraces by multivariate genetic analyses [J].
Bollinedi, Haritha ;
Vinod, K. K. ;
Bisht, Karishma ;
Chauhan, Archana ;
Krishnan, S. Gopala ;
Bhowmick, Prolay K. ;
Nagarajan, M. ;
Rao, D. Sanjeeva ;
Ellur, R. K. ;
Singh, A. K. .
INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 2020, 80 (01) :26-+
[9]   Improving nutrition through biofortification: A review of evidence from HarvestPlus, 2003 through 2016 [J].
Bouis, Howarth E. ;
Saltzman, Amy .
GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT, 2017, 12 :49-58
[10]   TASSEL: software for association mapping of complex traits in diverse samples [J].
Bradbury, Peter J. ;
Zhang, Zhiwu ;
Kroon, Dallas E. ;
Casstevens, Terry M. ;
Ramdoss, Yogesh ;
Buckler, Edward S. .
BIOINFORMATICS, 2007, 23 (19) :2633-2635