Genome-wide association study (GWAS) delineates genomic loci for ten nutritional elements in foxtail millet (Setaria italica L.)

被引:45
作者
Jaiswanl, Vandana [1 ]
Bandyopadhyay, Tirthankar [2 ]
Gahlaut, Vijay [3 ]
Gupta, Sarika [1 ]
Dhaka, Annvi [2 ]
Ramchiary, Nirala [1 ]
Prasad, Manoj [2 ]
机构
[1] Jawaharlal Nehru Univ, Sch Life Sci, New Delhi, India
[2] Natl Inst Plant Genome Res, Aruna Asaf Ali Marg, New Delhi 110067, India
[3] Univ Delhi, Dept Plant Mol Biol, South Campus, New Delhi, India
关键词
Foxtail millet; Genome-wide association study; Nutritional elements; Single nucleotide polymorphism; QUANTITATIVE TRAIT LOCI; AGRONOMIC TRAITS; POPULATION; IRON; ZINC; MAP;
D O I
10.1016/j.jcs.2018.11.006
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Nutritional deficiency is found to be a major threat to human health, especially in low-income countries. Thus it is essential to improve nutritional qualities of important food crops. Foxtail millet is second largest cultivated millet and 2-5 times nutritionally richer than major cereal crops. During the present study, we identified genetic determinants of ten nutritional elements including potassium, nickel, calcium, boron, magnesium, phosphorus, sulphur, zinc, manganese and iron for the first time in foxtail millet. For this purpose, genome-wide association studies (GWAS) were conducted using 93 diverse accessions and 10 K SNPs (distributed across all the nine foxtail millet chromosomes). Altogether, 74 marker-trait associations (MTAs) were identified to be associated with above mentioned ten elements, out of which ten (10) MTAs (associated with B, Mg, Zn and Fe) showed high confidence [-log(p) > 5.78]. Identified desirable SNP alleles and favourable haplotypes may prove useful in foxtail breeding. Also, significant pyramiding effect suggested that associated elements can be substantially enhanced through combining more than one MTA. Candidate genes residing within or near the association signal may be selected for functional characterization. Superior genotypes identified may prove as a potential donor in foxtail millet breeding assisted through the molecular marker.
引用
收藏
页码:48 / 55
页数:8
相关论文
共 36 条
  • [1] Deciphering Genomic Regions for High Grain Iron and Zinc Content Using Association Mapping in Pearl Millet
    Anuradha, N.
    Satyavathi, C. Tara
    Bharadwaj, C.
    Nepolean, T.
    Sankar, S. Mukesh
    Singh, Sumer P.
    Meena, Mahesh C.
    Singhal, Tripti
    Srivastava, Rakesh K.
    [J]. FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [2] Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes
    Aranzana, MJ
    Kim, S
    Zhao, KY
    Bakker, E
    Horton, M
    Jakob, K
    Lister, C
    Molitor, J
    Shindo, C
    Tang, CL
    Toomajian, C
    Traw, B
    Zheng, HG
    Bergelson, J
    Dean, C
    Marjoram, P
    Nordborg, M
    [J]. PLOS GENETICS, 2005, 1 (05): : 531 - 539
  • [3] Genome-Wide Association Study of Grain Architecture in Wild Wheat Aegilops tauschii
    Arora, Sanu
    Singh, Narinder
    Kaur, Satinder
    Bains, Navtej S.
    Uauy, Cristobal
    Poland, Jesse
    Chhuneja, Parveen
    [J]. FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [4] Millets for Next Generation Climate-Smart Agriculture
    Bandyopadhyay, Tirthankar
    Muthamilarasan, Mehanathan
    Prasad, Manoj
    [J]. FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [5] Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars
    Breseghello, F
    Sorrells, ME
    [J]. GENETICS, 2006, 172 (02) : 1165 - 1177
  • [6] Quantitative trait loci mapping reveals pleiotropic effect for grain iron and zinc concentrations in wheat
    Crespo-Herrera, L. A.
    Velu, G.
    Singh, R. P.
    [J]. ANNALS OF APPLIED BIOLOGY, 2016, 169 (01) : 27 - 35
  • [7] Deshpande J D., 2013, Int J Med Sci Public Health, V2, P1, DOI DOI 10.5455/IJMSPH.2013.2.1-6
  • [8] A high density genetic map and QTL for agronomic and yield traits in Foxtail millet [Setaria italica (L.) P. Beauv.]
    Fang, Xiaomei
    Dong, Kongjun
    Wang, Xiaoqin
    Liu, Tianpeng
    He, Jihong
    Ren, Ruiyu
    Zhang, Lei
    Liu, Rui
    Liu, Xueying
    Li, Man
    Huang, Mengzhu
    Zhang, Zhengsheng
    Yang, Tianyu
    [J]. BMC GENOMICS, 2016, 17
  • [9] Maize association population: a high-resolution platform for quantitative trait locus dissection
    Flint-Garcia, SA
    Thuillet, AC
    Yu, JM
    Pressoir, G
    Romero, SM
    Mitchell, SE
    Doebley, J
    Kresovich, S
    Goodman, MM
    Buckler, ES
    [J]. PLANT JOURNAL, 2005, 44 (06) : 1054 - 1064
  • [10] Association Mapping in Crop Plants: Opportunities and Challenges
    Gupta, Pushpendra K.
    Kulwal, Pawan L.
    Jaiswal, Vandana
    [J]. ADVANCES IN GENETICS, VOL 85, 2014, 85 : 109 - 147