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Novel QTLs in an interspecific backcross Oryza sativa × Oryza glaberrima for resistance to iron toxicity in rice

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Dufey, Inès [UCL] Draye, Xavier [UCL] Lutts, Stanley [UCL] Lorieux, M. Martinez, C. Bertin, Pierre [UCL]

Iron (Fe) toxicity is a major constraint in lowland rice. Because of its higher rusticity and adaptability to adverse soil conditions, the African rice Oryza glaberrima constitutes a new potential source of genes for rice improvement. This study aimed at mapping quantitative trait loci (QTLs) for resistance to Fe toxicity. A set of 220 BC3DH lines derived from the backcross O. sativa (Caiapo)/O. glaberrima (MG12)//O. sativa (Caiapo) was tested in hydroponics in the presence or absence of Fe2+ (0 or 250 mg L−1). The experiment was repeated twice independently in time. In each repetition, each line was repeated three times under each Fe2+ condition. A total of 28 QTLs were detected in 18 distinct chromosomal regions for 11 morphological and physiological traits. The single and joint composite interval mappings confirmed the interest of region RM5-RM246 on chromosome 1. Several QTLs were detected in new regions, including five QTLs and one joint QTL on chromosome 5, and one QTL on chromosome 10. Interestingly, the favorable allele for all these seven new QTLs were provided by the O. glaberrima cultivar MG12, i.e. the lesser investigated species. These QTLs corresponded to leaf bronzing index, dry weights, Fe concentration in the root-plaque system and stomatal conductance. Our results suggest that resistance mechanisms to Fe toxicity may differ between both cultivated rices and confirmed the possible interest of O. glaberrima as a source of new alleles for QTL detection and introgression in the perspective of improving rice resistance to Fe toxicity. © 2015, Springer Science+Business Media Dordrecht.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2015
Language Anglais
Journal information "Euphytica : international journal on plant breeding" - Vol. 204, no. 3, p. 609-625 (2015)
Peer reviewed yes
Publisher Springer Netherlands ((Netherlands) Dordrecht)
issn 0014-2336
e-issn 1573-5060
Publication status Publié
Affiliation UCL - SST/ELI/ELIA - Agronomy
Keywords Abiotic stress ; Fe toxicity ; QTL analysis ; Rice (Oryza sativa and Oryza glaberrima) ; Oryza ; Oryza glaberrima ; Oryza sativa
Links
  1. Ali M. Liakat, Sanchez Paul L., Yu Si-bin, Lorieux Mathias, Eizenga Georgia C., Chromosome Segment Substitution Lines: A Powerful Tool for the Introgression of Valuable Genes from Oryza Wild Species into Cultivated Rice (O. sativa), 10.1007/s12284-010-9058-3
  2. Aluko G., Martinez C., Tohme J., Castano C., Bergman C., Oard J.H., QTL mapping of grain quality traits from the interspecific cross Oryza sativa � O. glaberrima, 10.1007/s00122-004-1668-y
  3. Audebert A (2006a) Diagnostic of risk and approaches to iron toxicity management in lowland rice farming. In: Audebert A et al (eds) Iron toxicity in rice-based system in West Africa. Africa Rice Center, Cotonou, pp 6–17
  4. Audebert A (2006b) Iron toxicity in rice—environmental conditions and symptoms. In: Audebert A et al (eds) Iron toxicity in rice-based system in West Africa. Africa Rice Center, Cotonou, pp 18–33
  5. Audebert A., Fofana M., Rice Yield Gap due to Iron Toxicity in West Africa, 10.1111/j.1439-037x.2008.00339.x
  6. Basten CJ, Weir BS, Zeng Z-B (1994) Zmap—A QTL cartographer. In: Smith C et al (eds) Proceedings of 5th World Congress on Genetics Applied to Livestock Production: computing strategies and software, 7–12 August 1994. Department of Animal and poultry Science, University of Guelph, Guelph, ON, Canada, pp 65–66
  7. Basten CJ, Weir BS, Zeng Z-B (2004) QTL cartographer, version 1.17. Department of Statistics, North Carolina State University, Raleigh
  8. Beavis WB (1998) QTL analyses: power, precision, and accuracy. In: Patterson AH (ed) Molecular dissection of complex traits. CRC Press, Boca Raton
  9. Becana M., Moran J.F., Iturbe-Ormaetxe I., 10.1023/a:1004375732137
  10. Becker Mathias, Asch Folkard, Iron toxicity in rice—conditions and management concepts, 10.1002/jpln.200520504
  11. Bimpong Isaac Kofi, Serraj Rachid, Chin Joong Hyoun, Ramos Joie, Mendoza Evelyn M. T., Hernandez Jose E., Mendioro Merlyn S., Brar Darshan S., Identification of QTLs for Drought-Related Traits in Alien Introgression Lines Derived from Crosses of Rice (Oryza sativa cv. IR64) × O. glaberrima under Lowland Moisture Stress, 10.1007/s12374-011-9161-z
  12. De Dorlodot Sophie, Lutts Stanley, Bertin Pierre, Effects of Ferrous Iron Toxicity on the Growth and Mineral Composition of an Interspecific Rice, 10.1081/pln-200042144
  13. Djedatin Gustave, Ndjiondjop Marie-Noëlle, Mathieu Thierry, Cruz Casiana M. Vera, Sanni Ambaliou, Ghesquière Alain, Verdier Valérie, Evaluation of African Cultivated Rice Oryza glaberrima for Resistance to Bacterial Blight, 10.1094/pdis-08-10-0558
  14. Doerge R. W., Zeng Z-B., Weir B. S., Statistical issues in the search for genes affecting quantitative traits in experimental populations, 10.1214/ss/1030037909
  15. Doi K, Yoshimura A, Iwata N (1998) RFLP mapping and QTL analysis of heading date and pollen sterility using backcross populations between Oryza sativa L. and Oryza glaberrima Steud. Breed Sci 48(4):395–399
  16. Dufey Inès, Hakizimana Patrice, Draye Xavier, Lutts Stanley, Bertin Pierre, QTL mapping for biomass and physiological parameters linked to resistance mechanisms to ferrous iron toxicity in rice, 10.1007/s10681-008-9870-7
  17. Dufey I., Hiel M.-P., Hakizimana P., Draye X., Lutts S., Koné B., Dramé K.N., Konaté K.A., Sie M., Bertin P., Multienvironment Quantitative Trait Loci Mapping and Consistency across Environments of Resistance Mechanisms to Ferrous Iron Toxicity in Rice, 10.2135/cropsci2009.09.0544
  18. Fang Wei-Ching, Wang Jen-Wu, Lin Chuan Chi, Kao Ching Huei, 10.1023/a:1013879019368
  19. Fofana, Rauber, Weed suppression ability of upland rice under low-input conditions in West Africa, 10.1046/j.1365-3180.2000.00185.x
  20. GREEN M. S., ETHERINGTON J. R., Oxidation of Ferrous Iron by Rice (Oryza sativaL.) Roots: a Mechanism for Waterlogging Tolerance?, 10.1093/jxb/28.3.678
  21. Gutiérrez Andrés, Carabalí Silvio, Giraldo Olga, Martínez César, Correa Fernando, Prado Gustavo, Tohme Joe, Lorieux Mathias, Identification of a Rice stripe necrosis virus resistance locus and yield component QTLs using Oryza sativa × O. glaberrima introgression lines, 10.1186/1471-2229-10-6
  22. Horton P., Molecular design of the photosystem II light-harvesting antenna: photosynthesis and photoprotection, 10.1093/jxb/eri023
  23. Howeler R. H., Iron-Induced Oranging Disease of Rice in Relation to Physico-Chemical Changes in a Flooded Oxisol1, 10.2136/sssaj1973.03615995003700060030x
  24. IRRI (1996) Standard evaluation system for rice, 4th edn. International Rice Research Institute, Manila
  25. Jiang C, Zeng Z-B (1995) Multiple trait analysis of genetic mapping for quantitative trait loci. Genetics 140:1111–1127
  26. Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199
  27. Li Jiming, Xiao Jinhua, Grandillo Silvana, Jiang Longying, Wan Yizhen, Deng Qiyun, Yuan Longping, McCouch Susan R, QTL detection for rice grain quality traits using an interspecific backcross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice, 10.1139/g04-029
  28. Lorieux M, Ndjiondjop MN, Ghesquiere A (2000) A first interspecific Oryza sativa × Oryza glaberrima microsatellite-based genetic linkage map. Theor Appl Genet 100:593–601
  29. Majerus Valérie, Bertin Pierre, Lutts Stanley, Effects of iron toxicity on osmotic potential, osmolytes and polyamines concentrations in the African rice (Oryza glaberrima Steud.), 10.1016/j.plantsci.2007.04.003
  30. Majerus V., Bertin P., Swenden V., Fortemps A., Lobréaux S., Lutts S., Organ-dependent responses of the african rice to short-term iron toxicity: Ferritin regulation and antioxidative responses, 10.1007/s10535-007-0060-6
  31. Majerus V., Bertin P., Lutts S., Abscisic acid and oxidative stress implications in overall ferritin synthesis by African rice (Oryza glaberrima Steud.) seedlings exposed to short term iron toxicity, 10.1007/s11104-009-9952-x
  32. Maji AT, Gana AS, Ukwungwu MN (2011) Responses of Oryza glaberrima accessions to rice stresses and their morphological characteristics. Afr J Agric Res 6(3):732–737
  33. Miles C, Wayne M (2008) Quantitative trait locus (QTL) analysis. Nature Educ 1(1):208
  34. Marie Noelle Ndjiondjop, Fousseyni Cisse, Gezahegn Girma, Mounirou Sow, Rol, Bocco, Gustave Djedatin, Fatondji Bl, ine, Morpho-agronomic and molecular characterisation of Oryza glaberrima germplasm from Mali, 10.5897/ajb2010.000-3312
  35. Nyamangyoku O (2006) Ferrous iron toxicity: mechanisms of resistance and impact on nutrient elements at the vegetative stage in cultivated rices (Oryza sativa L., Oryza glaberrima Steud. and interspecific hybrids). PhD Thesis, Université catholique de Louvain (UCL), Louvain-La-Neuve, Belgium, p 164
  36. Sahrawat K. L., Iron Toxicity in Wetland Rice and the Role of Other Nutrients, 10.1081/pln-200025869
  37. Sahrawat KL, Sitka M (2002) Comparative tolerance of O. sativa and O. glaberrima rice cultivars for iron toxicity in West Africa. Int Rice Res Notes 27:30–31
  38. Sarla N, Swamy BPM (2005) Oryza glaberrima: a source for the improvement of Oryza sativa. Curr Sci 89:955–963
  39. SAS Institute (1999) SAS/STAT User’s guide, Version 8. SAS Institute, Cary
  40. Shimizu Akifumi, QTL Analysis of Genetic Tolerance to Iron Toxicity in Rice (Oryza SativaL.) by Quantification of Bronzing Score, 10.1080/15228860903064989
  41. Shimizu Akifumi, Guerta Corinta Q., Gregorio Glenn B., Kawasaki Shinji, Ikehashi Hiroshi, QTLs for nutritional contents of rice seedlings (Oryza sativa L.) in solution cultures and its implication to tolerance to iron-toxicity, 10.1007/s11104-004-4683-5
  42. Stein R.J., Duarte G.L., Spohr M.G., Lopes S.I.G., Fett J.P., Distinct physiological responses of two rice cultivars subjected to iron toxicity under field conditions, 10.1111/j.1744-7348.2008.00293.x
  43. Suh J, Ahn SN, Cho YC, Kang KH, Choi IM (2005) Mapping for QTLs for yield traits using an advanced backcross population from a cross between Oryza sativa and O. glaberrima. Korean J Breed 37:214–220
  44. Vales M. I., Schön C. C., Capettini F., Chen X. M., Corey A. E., Mather D. E., Mundt C. C., Richardson K. L., Sandoval-Islas J. S., Utz H. F., Hayes P. M., Effect of population size on the estimation of QTL: a test using resistance to barley stripe rust, 10.1007/s00122-005-0043-y
  45. Wan Jian-lin, 10.1023/a:1023915710103
  46. Wan JL, Zhai HQ, Wan JM, Yasui H, Yoshimura A (2003b) Mapping QTL for traits associated with resistance to ferrous iron toxicity in rice (Oryza sativa L.), using japonica chromosome segment substitution lines. Yi Chuan Xue Bao 30(10):893–898
  47. Wan JL, Zhai HQ, Wan JM, Yasui H, Yoshimura A (2004) Detection and analysis of QTLs associated with resistance to ferrous iron toxicity in rice (Oryza sativa L), using recombinant inbred lines. Acta agron sinica 30(4):329–333
  48. Wan JL, Zhai HQ, Wan JM (2005) Mapping of QTLs for ferrous iron toxicity tolerance in rice (Oryza sativa L.). Yi Chuan Xue Bao 32(11):1156–1166
  49. Wu P., Luo A., Zhu J., Yang J., Huang N., Senadhira D., 10.1023/a:1004288427140
  50. Wu P., Hu B., Liao C.Y., Zhu J.M., Wu Y.R., Senadhira D., Paterson A.H., 10.1023/a:1004321218387
  51. Yoshida S, Forno DA, Cock JH, Gomez KA (1976) Laboratory manual for physiological studies of rice, 3rd edn. International Rice Research Institute, Manila
  52. Zeng Z-B (1994) Precision mapping of quantitative trait loci. Genet 136:1457–1468
Bibliographic reference Dufey, Inès ; Draye, Xavier ; Lutts, Stanley ; Lorieux, M. ; Martinez, C. ; et. al. Novel QTLs in an interspecific backcross Oryza sativa × Oryza glaberrima for resistance to iron toxicity in rice. In: Euphytica : international journal on plant breeding, Vol. 204, no. 3, p. 609-625 (2015)
Permanent URL http://hdl.handle.net/2078.1/163015