The interaction of genotype and environment determines variation in the maize kernel ionome

G3: Genes, Genomes, Genetics

Volumn 6, Issue 12, 2016, Pages 4175-4183

  Asaro, Alexandra ^a   Ziegler, Gregory ^b   Ziyomo, Cathrine ^a   Hoekenga, Owen A ^c   Dilkes, Brian P ^d   Baxter, Ivan ^b  

^a WASHINGTON UNIVERSITY   (United States)

^b DONALD DANFORTH PLANT SCIENCE CENTER   (United States)

^c Cayuga Genetics Consulting Group LLC   (United States)

^d PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENOTYPE ENVIRONMENT INTERACTION; MAIZE; NONHUMAN; PLANT SEED; QUANTITATIVE STUDY; QUANTITATIVE TRAIT LOCUS; STATISTICAL MODEL; ALGORITHM; BIOLOGICAL MODEL; CHROMOSOMAL MAPPING; CROSS BREEDING; ENVIRONMENT; GENETIC ASSOCIATION STUDY; GENETIC RECOMBINATION; GENETICS; GENOTYPE; INBREEDING; INHERITANCE; PHENOTYPE; POPULATION GENETICS; QUANTITATIVE TRAIT;

ALGORITHMS; CHROMOSOME MAPPING; CROSSES, GENETIC; ENVIRONMENT; GENE-ENVIRONMENT INTERACTION; GENETIC ASSOCIATION STUDIES; GENETICS, POPULATION; GENOTYPE; INBREEDING; INHERITANCE PATTERNS; MODELS, GENETIC; MODELS, STATISTICAL; PHENOTYPE; QUANTITATIVE TRAIT LOCI; QUANTITATIVE TRAIT, HERITABLE; RECOMBINATION, GENETIC; ZEA MAYS;

EID: 85008512116     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.116.034827     Document Type: Article

References (27)

1. Balint-Kurti, P. J., J. C. Zwonitzer, R. J. Wisser, M. L. Carson, M. A. Oropeza-Rosas et al., 2007 Precise mapping of quantitative trait loci for resistance to southern leaf blight, caused by Cochliobolus heterostrophus race O, and flowering time using advanced intercross maize lines. Genetics 176(1): 645-657.
2. Baxter, I., B. Muthukumar, H. C. Park, P. Buchner, B. Lahner et al., 2008 Variation in molybdenum content across broadly distributed populations of Arabidopsis thaliana is controlled by a mitochondrial molybdenum transporter (MOT1). PLoS Genet. 4(2): e1000004.
3. Bhatia, A., A. Yadav, C. Zhu, J. Gagneur, A. Radhakrishnan et al., 2014 Yeast growth plasticity is regulated by environment-specific multi-QTL interactions. G3 (Bethesda) 4(5): 769-777.
4. Broman, K. W., and T. P. Speed, 2002 A model selection approach for the identification of quantitative trait loci in experimental crosses. J. R. Stat. Soc. Series B Stat. Methodol. 64(4): 641-656.
5. Churchill, G. A., and R. W. Doerge, 1994 Empirical threshold values for quantitative trait mapping. Genetics 138(3): 963-971.
6. Cobb, J. N., G. DeClerck, A. Greenberg, R. Clark, and S. McCouch, 2013 Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement. Theor. Appl. Genet. 126(4): 867-887.
7. Davies, L., and U. Gather, 1993 The identification of multiple outliers. J. Am. Stat. Assoc. 88(423): 782-792.
8. Des Marais, D. L., K. M. Hernandez, and T. E. Juenger, 2013 Genotype-byenvironment interaction and plasticity: exploring genomic responses of plants to the abiotic environment. Annu. Rev. Ecol. Evol. Syst. 44: 5-29.
9. Dubois, P. G., G. T. Olsefski, S. Flint-Garcia, T. L. Setter, O. A. Hoekenga et al., 2010 Physiological and genetic characterization of end-of-day farred light response in maize seedlings. Plant Physiol. 154(1): 173-186.
10. El-Soda, M., M. Malosetti, B. J. Zwaan, M. Koornneef, and M. G. M. Aarts, 2014 Genotype x environment interaction QTL mapping in plants: lessons from Arabidopsis. Trends Plant Sci. 19(6): 390-398.
11. Godt, J., F. Scheidig, C. Grosse-Siestrup, V. Esche, P. Brandenburg et al., 2006 The toxicity of cadmium and resulting hazards for human health. J. Occup. Med. Toxicol. 1: 22.
12. Hazen, S. P., R. M. Hawley, G. L. Davis, B. Henrissat, and J. D. Walton, 2003 Quantitative trait loci and comparative genomics of cereal cell wall composition. Plant Physiol. 132(1): 263-271.
13. Koornneef, M., C. Alonso-Blanco, and A. J. M. Peeters, 1997 Genetic approaches in plant physiology. New Phytol. 137(1): 1-8.
14. Lahner, B., J. Gong, M. Mahmoudian, E. L. Smith, K. B. Abid et al., 2003 Genomic scale profiling of nutrient and trace elements in Arabidopsis thaliana. Nat. Biotechnol. 21(10): 1215-1221.
15. Lee, M., N. Sharopova, W. D. Beavis, D. Grant, M. Katt et al., 2002 Expanding the genetic map of maize with the intermated B73 x Mo17 (IBM) population. Plant Mol. Biol. 48(5-6): 453-461.
16. Leinonen, P. H., D. L. Remington, J. Leppälä, and O. Savolainen, 2013 Genetic basis of local adaptation and flowering time variation in Arabidopsis lyrata. Mol. Ecol. 22(3): 709-723.
17. Lung'aho, M. G., A. M. Mwaniki, S. J. Szalma, J. J. Hart, M. A. Rutzke et al., 2011 Genetic and physiological analysis of iron biofortification in maize kernels. PLoS One 6: e20429.
18. McDowell, S. C., G. Akmakjian, C. Sladek, D. Mendoza-Cozatl, J. B. Morrissey et al., 2013 Elemental concentrations in the seed of mutants and natural variants of Arabidopsis thaliana grown under varying soil conditions. PLoS One 8(5): e63014.
19. Nichols, K. M., K. W. Broman, K. Sundin, J. M. Young, P. A. Wheeler et al., 2007 Quantitative trait loci x maternal cytoplasmic environment interaction for development rate in Oncorhynchus mykiss. Genetics 175(1): 335-347.
20. Ordas, B., R. A. Malvar, R. Santiago, and A. Butron, 2010 QTL mapping for Mediterranean corn borer resistance in European flint germplasm using recombinant inbred lines. BMC Genomics 11(1): 1-10.
21. Shakoor, N., G. Ziegler, B. P. Dilkes, Z. Brenton, R. Boyles et al., 2016 Integration of experiments across diverse environments identifies the genetic determinants of variation in Sorghum bicolor seed element composition. Plant Physiol. 170: 1989-1998.
22. Tétard-Jones, C., M. A. Kertesz, and R. F. Preziosi, 2011 Quantitative trait loci mapping of phenotypic plasticity and genotype-environment interactions in plant and insect performance. Philos. Trans. R. Soc. Lond. B Biol. Sci. 366(1569): 1368-1379.
23. Ungerer, M. C., S. S. Halldorsdottir, M. D. Purugganan, and T. F. C. Mackay, 2003 Genotype-environment interactions at quantitative trait loci affecting inflorescence development in Arabidopsis thaliana. Genetics 165(1): 353-365.
24. United States Department of Agriculture, 2014 China's maximum levels of contaminants in food. Global Agricultural Information Network (GAIN) report CH14058. USDA Foreign Agricultural Service, Washington, DC.
25. White, J. G., and R. J. Zasoski, 1999 Mapping soil micronutrients. Field Crops Res. 60(1): 11-26.
26. Zhang, N. et al., 2010 Fine quantitative trait loci mapping of carbon and nitrogen metabolism enzyme activities and seedling biomass in the maize IBM mapping population. Plant Physiol. 154(4): 1753-1765.
27. Ziegler, G., A. Terauchi, A. Becker, P. Armstrong, K. Hudson et al., 2013 Ionomic screening of field-grown soybean identifies mutants with altered seed elemental composition. Plant Genome 6(2): Available at: https://dl.sciencesocieties.org/publications/tpg/pdfs/6/2/plantgenome2012.07.0012.