Stable carbon isotope discrimination is under genetic control in the C4 species maize with several genomic regions influencing trait expression

Plant Physiology

Volumn 164, Issue 1, 2014, Pages 131-143

  Gresset, Sebastian ^a   Westermeier, Peter ^a   Rademacher, Svenja ^a   Ouzunova, Milena ^b   Presterl, Thomas ^b   Westhoff, Peter ^a,c   Schön, Chris Carolin ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b KWS SAAT SE   (Germany)

^c HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON;

ARTICLE; FLOWER; GENETIC VARIABILITY; GENETICS; GROWTH, DEVELOPMENT AND AGING; MAIZE; METABOLISM; PHENOTYPE; PHOTOSYNTHESIS; PLANT CHROMOSOME; PLANT GENOME;

CARBON ISOTOPES; CHROMOSOMES, PLANT; FLOWERS; GENETIC VARIATION; GENOME, PLANT; PHENOTYPE; PHOTOSYNTHESIS; ZEA MAYS;

EID: 84891809086     PISSN: 00320889     EISSN: 15322548     Source Type: Journal    
DOI: 10.1104/pp.113.224816     Document Type: Article

References (66)

1. Barbour MM, Warren CR, Farquhar GD, Forrester G, Brown H (2010) Variability in mesophyll conductance between barley genotypes, and effects on transpiration efficiency and carbon isotope discrimination. Plant Cell Environ 33: 1176-1185
2. Bates D, Maechler M (2012) lme4: linear mixed-effects models using S4-classes. R package version 0.999999-0 http://CRAN.R-project.org/package=lme4 (March 3, 2011)
3. Bevins MA, Madhavan S, Markwell J (1993) Two sweetclover (Melilotus alba Desr.) mutants temperature sensitive for chlorophyll expression. Plant Physiol 103: 1123-1131
4. 4 grasses. Plant Physiol 90: 162-166
5. 4 grasses is influenced by light and water supply. Plant Cell Environ 19: 392-402
6. 18O in maize grown under different water regimes. Ann Bot (Lond) 104: 1207-1216
7. Chen J, Chang SX, Anyia AO (2011) Gene discovery in cereals through quantitative trait loci and expression analysis in water-use efficiency measured by carbon isotope discrimination. Plant Cell Environ 34: 2009-2023
8. Comstock JP, McCouch SR, Martin BC, Tauer CG, Vision TJ, Xu Y, Pausch RC (2005) The effects of resource availability and environmental conditions on genetic rankings for carbon isotope discrimination during growth in tomato and rice. Funct Plant Biol 32: 1089-1105
9. Condon AG, Richards RA (1992) Broad sense heritability and genotype × environment interaction for carbon isotope discrimination in fieldgrown wheat. Aust J Agric Res 43: 921-934
10. Dunnett CW (1955) A multiple comparison procedure for comparing several treatments with a control. J Am Stat Assoc 50: 1096-1121
11. Eshed Y, Zamir D (1994) A genomic library of Lycopersicon pennellii in L. esculentum: a tool for fine mapping of genes. Euphytica 79: 175-179
12. Falke KC, Frisch M (2011) Power and false-positive rate in QTL detection with near-isogenic line libraries. Heredity (Edinb) 106: 576-584
13. Falke KC, Wilde P, Wortmann H, Geiger HH, Miedaner T (2009) Identification of genomic regions carrying QTL for agronomic and quality traits in rye (Secale cereale) introgression libraries. Plant Breed 128: 615-623
14. 4 species. Aust J Plant Physiol 10: 205-226
15. Farquhar GD, Ehleringer JR, Hubick KT (1989) Carbon isotope discrimination and photosynthesis. Annu Rev Plant Physiol Plant Mol Biol 40: 503-537
16. Farquhar GD, O'Leary MH, Berry J (1982) On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves. Aust J Plant Physiol 9: 121-137
17. Ganal MW, Durstewitz G, Polley A, Bérard A, Buckler ES, Charcosset A, Clarke JD, Graner EM, Hansen M, Joets J, et al (2011) A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome. PLoS ONE 6: e28334
18. Garrick DJ, Taylor JF, Fernando RL (2009) Deregressing estimated breeding values and weighting information for genomic regression analyses. Genet Sel Evol 41: 55
19. Grubbs FE (1950) Sample criteria for testing outlying observations. Ann Math Stat 21: 27-58
20. Hall AE, Richards RA, Condon AG, Wright GC, Farquhar GD (2010) Carbon isotope discrimination and plant breeding. In J Janick, ed, Plant Breeding Reviews, Vol 12. John Wiley & Sons, Oxford, pp 81-113
21. 13C) in barley. J Exp Bot 45: 1661-1663
22. 4 species. Aust J Plant Physiol 19: 263-285
23. 4 species Sorghum bicolor in the glasshouse and the field. Aust J Plant Physiol 25: 111-123
24. Holland JB, Nyquist WE, Cervantes-Martínez CT (2003) Estimating and interpreting heritability for plant breeding: an update. In J Janick, ed, Plant Breeding Reviews, Vol 22. John Wiley & Sons, Oxford, pp 9-112
25. Hothorn T, Bretz F, Westfall P (2008) Simultaneous inference in general parametric models. Biom J 50: 346-363
26. 4 species. Plant Physiol 92: 534-537
27. Impa SM, Nadaradjan S, Boominathan P, Shashidhar G, Bindumadhava H, Sheshshayee MS (2005) Carbon isotope discrimination accurately reflects variability in WUE measured at a whole plant level in rice. Crop Sci 45: 2517-2522
28. International Seed Testing Association (2009) International Rules for Seed Testing. International Seed Testing Association, Basel
29. Jompuk C, Fracheboud Y, Stamp P, Leipner J (2005) Mapping of quantitative trait loci associated with chilling tolerance in maize (Zea mays L.) seedlings grown under field conditions. J Exp Bot 56: 1153-1163
30. 13C, stomatal conductance and transpiration efficiency. Plant Cell Environ 28: 697-708
31. Keurentjes JJ, Bentsink L, Alonso-Blanco C, Hanhart CJ, Blankestijn-De Vries H, Effgen S, Vreugdenhil D, Koornneef M (2007) Development of a near-isogenic line population of Arabidopsis thaliana and comparison of mapping power with a recombinant inbred line population. Genetics 175: 891-905
32. Khajeh-Hosseini M, Lomholt A, Matthews S (2009) Mean germination time in the laboratory estimates the relative vigour and field performance of commercial seed lots of maize (Zea mays L.). Seed Sci Technol 37: 446-456
33. 4 grasses and dicots. Photosynth Res 91: 47-58
34. Liang YK, Xie X, Lindsay SE, Wang YB, Masle J, Williamson L, Leyser O, Hetherington AM (2010) Cell wall composition contributes to the control of transpiration efficiency in Arabidopsis thaliana. Plant J 64: 679-686
35. Lü S, Zhao H, Des Marais DL, Parsons EP, Wen X, Xu X, Bangarusamy DK, Wang G, Rowland O, Juenger T, et al (2012) Arabidopsis ECERIFERUM9 involvement in cuticle formation and maintenance of plant water status. Plant Physiol 159: 930-944
36. Madhavan S (2012) Leaf chlorophyll levels influence carbon isotope discrimination in soybean and maize. Int J Biosci Biochem Bioinf 2: 207-211
37. Madhavan S, Treichel I, O'Leary MH (1991) Effects of relative-humidity on carbon isotope fractionation in plants. Bot Acta 104: 292-294
38. Masle J, Gilmore SR, Farquhar GD (2005) The ERECTA gene regulates plant transpiration efficiency in Arabidopsis. Nature 436: 866-870
39. Meinzer FC, Plaut Z, Saliendra NZ (1994) Carbon isotope discrimination, gas exchange, and growth of sugarcane cultivars under salinity. Plant Physiol 104: 521-526
40. Ming Z, Wen I, Ishill R, Li C (2006) Genotypic differences in photosynthesis and dynamic characteristics of NPQ in maize. Asian J Plant Sci 5: 709-712
41. Monneveux P, Sheshshayee MS, Akhter J, Ribaut JM (2007) Using carbon isotope discrimination to select maize (Zea mays L.) inbred lines and hybrids for drought tolerance. Plant Sci 173: 390-396
42. Nilson SE, Assmann SM (2010) The γ-subunit of the Arabidopsis heterotrimeric G protein, GPA1, is a regulator of transpiration efficiency. Plant Physiol 152: 2067-2077
43. O'Leary MH (1988) Carbon isotopes in photosynthesis. Bioscience 38: 328-336
44. Pandey S, Diallo AO, Islam TM, Deutsch J (1986) Progress from selection in eight tropical maize populations using international testing. Crop Sci 26: 879-884
45. Pengelly JJ, Kwasny S, Bala S, Evans JR, Voznesenskaya EV, Koteyeva NK, Edwards GE, Furbank RT, von Caemmerer S (2011) Functional analysis of corn husk photosynthesis. Plant Physiol 156: 503-513
46. Price AH, Cairns JE, Horton P, Jones HG, Griffiths H (2002) Linking drought-resistance mechanisms to drought avoidance in upland rice using a QTL approach: progress and new opportunities to integrate stomatal and mesophyll responses. J Exp Bot 53: 989-1004
47. R Development Core Team (2012) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna
48. 2, photosynthesis and carbon isotope discrimination. Aust J Plant Physiol 22: 903-911
49. Rebetzke GJ, Condon AG, Farquhar GD, Appels R, Richards RA (2008) Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations. Theor Appl Genet 118: 123-137
50. Rebetzke GJ, Condon AG, Richards RA, Farquhar GD (2002) Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci 42: 739-745
51. Roeske CA, O'Leary MH (1984) Carbon isotope effects on enzymecatalyzed carboxylation of ribulose bisphosphate. Biochemistry 23: 6275-6284
52. Sanguineti MC, Tuberosa R, Landi P, Salvi S, Maccaferri M, Casarini E, Conti S (1999) QTL analysis of drought-related traits and grain yield in relation to genetic variation for leaf abscisic acid concentration in fieldgrown maize. J Exp Bot 50: 1289-1297
53. Schmalenbach I, March TJ, Bringezu T, Waugh R, Pillen K (2011) Highresolution genotyping of wild barley introgression lines and fine-mapping of the threshability locus thresh-1 using the Illumina GoldenGate assay. G3 (Bethesda) 1: 187-196
54. Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6: 461-464
55. Takai T, Ohsumi A, San-oh Y, Laza MRC, Kondo M, Yamamoto T, Yano M (2009) Detection of a quantitative trait locus controlling carbon isotope discrimination and its contribution to stomatal conductance in japonica rice. Theor Appl Genet 118: 1401-1410
56. Tieszen LL, Grant D (1990) Carbon isotope discrimination among selected Pioneer Hi-Bred and public inbreds and hybrids. Maize Genet Coop News Lett 64: 70
57. 2 across species: quantitative limitations and scaling up by models. J Exp Bot 64: 2269-2281
58. 4 photosynthesis under low light conditions in Zea mays, Miscanthus × giganteus and Flaveria bidentis. Plant Cell Environ 36: 365-381
59. Utz HF, Melchinger AE, Schön CC (2000) Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using cross validation and validation with independent samples. Genetics 154: 1839-1849
60. Venables W, Ripley B (2002) Modern Applied Statistics with S, Ed 4. Springer, New York
61. Vogel JC (1980) Fractionation of carbon isotopes during photosynthesis. Sitzungsberichte der Heidelberger Akademie der Wissenschaften 3: 5-29
62. Wang J, Wan X, Crossa J, Crouch J, Weng J, Zhai H, Wan J (2006) QTL mapping of grain length in rice (Oryza sativa L.) using chromosome segment substitution lines. Genet Res 88: 93-104
63. 2 enrichment and drought. New Phytol 150: 285-293
64. Wu X, Chang X, Jing R (2011) Genetic analysis of carbon isotope discrimination and its relation to yield in a wheat doubled haploid population. J Integr Plant Biol 53: 719-730
65. Xu X, Martin B, Comstock JP, Vision TJ, Tauer CG, Zhao B, Pausch RC, Knapp S (2008) Fine mapping a QTL for carbon isotope composition in tomato. Theor Appl Genet 117: 221-233
66. Zhu S, Rossnagel BG, Kaeppler HF (2004) Genetic analysis of quantitative trait loci for groat protein and oil content in oat. Crop Sci 44: 254-260