Advertisement

Euphytica

, 165:587 | Cite as

Mapping of QTLs associated with cadmium tolerance and accumulation during seedling stage in rice (Oryza sativa L.)

  • Dawei Xue
  • Mingcan Chen
  • Guoping Zhang
Article

Abstract

Cadmium (Cd) is a non-essential element and toxic to plants. To investigate the genetics of Cd tolerance and accumulation in rice, quantitative trait loci (QTL) associated with Cd tolerance and accumulation at the seedling stage were mapped using a doubled haploid (DH) population derived from a cross between a japonica JX17 and an indica ZYQ8. A total of 22 QTLs were found to be associated with shoot height (SH), root length (RL), shoot dry weight (SDW), root dry weight (RDW), total dry weight (TDW) and chlorophyll content (CC), and 10 and 12 QTLs were identified under the control and Cd stress conditions, respectively. For Cd tolerant coefficient (CTC), 6 QTLs were detected on chromosomes 1, 3, 5, 8 and 10. Under Cd stress, 3 QTLs controlling root and shoot Cd concentrations were mapped on chromosome 6 and 7. One QTL for shoot/root rate of Cd concentration was identified on chromosome 3. The results indicated that Cd tolerance and accumulation were quantitatively inherited, and the detected QTLs may be useful for marker-assistant selection (MAS) and identification of the genes controlling Cd tolerance and accumulation in rice.

Keywords

Rice QTL Cadmium Tolerance Accumulation 

Notes

Acknowledgement

We are very grateful to Zhejiang Natural Science Foundation (Z304104) for their financial support.

References

  1. Arao T, Ae N (2003) Genotypic variation in cadmium levels of rice grain. Soil Sci Plant Nutr 49:473–479Google Scholar
  2. Chakravarty B, Srivastava S (1992) Toxicity of some heavy metals in vivo and in vitro in Helianthus annuus. Mutat Res 283:287–294PubMedCrossRefGoogle Scholar
  3. Chen SL, Kao CH (1995) Cd induced changes in proline level and peroxidase activity in roots of rice seedlings. Plant Growth Regul 17:67–71Google Scholar
  4. Cheng WD, Zhang GP, Yao HG, Wu W, Xu M (2006) Genotypic and environmental variation in cadmium, chromium, arsenic, nickel and lead concentrations in rice grains. J Zhejiang Univ Sci B 7:565–571PubMedCrossRefGoogle Scholar
  5. Dasgupta T, Hossain SA, Meharg AA, Price AH (2004) An arsenate tolerance gene on chromosome 6 of rice. New Phytol 163:45–49CrossRefGoogle Scholar
  6. Deniau AX, Pieper B, Bookum WT, Lindhout P, Aarts MGM, Schat H (2006) QTL analysis of cadmium and zinc accumulation in the heavy metal hyperaccumulator Thlaspi caerulescens. Theor Appl Genet 113:907–920PubMedCrossRefGoogle Scholar
  7. Dong Y, Ogawa T, Lin D, Koh H, Kamiunten H, Matsuo M, Cheng S (2006) Molecular mapping of quantitative trait loci for zinc toxicity tolerance in rice seedling (Oryza sativa L.). Field Crops Res 95:420–425CrossRefGoogle Scholar
  8. Hassan MJ, Wang ZQ, Zhang GP (2005) Sulfur alleviates growth Inhibition and oxidative stress caused by cadmium toxicity in rice. J Plant Nutr 28:1785–1800CrossRefGoogle Scholar
  9. Hu YT, Kao CH (2003) Changes in protein and amino acid contents in two cultivars of rice seedlings with different apparent tolerance to cadmium. Plant Growth Regul 40:147–155CrossRefGoogle Scholar
  10. Ishikawa S, Ae N, Yano M (2005) Chromosomal regions with quantitative trait loci controlling cadmium concentration in brown rice (Oryza sativa). New Phytol 168(20):345–350PubMedCrossRefGoogle Scholar
  11. Krupa Z (1988) Cadmium-induced changes in the composition and structure of the light-harvesting complex II in radish cotyledons. Physiol Plant 73:518–524CrossRefGoogle Scholar
  12. Lagerwerff JV (1972) Lead, mercury and cadmium as environmental contaminants. In: Mortvedt JJ, Giordano PM, Lindsay WL (eds) Micronutrient in agriculture. Soil Science and Society of America, Madison, WI, pp 593–636Google Scholar
  13. Larsson EH, Bordman JF, Asp H (1998) Influence of UV-B radiation and Cd2+ on chlorophyll fluorescence, growth and nutrient content in Brassica napus. J Exp Bot 49:1031–1039CrossRefGoogle Scholar
  14. Li ZK, Pinson SRM, Stansel JW, Park WD (1995) Identification of quantitative trait loci (QTL) for heading date and plant height in rice using RFLP markers. Theor Appl Genet 91:374–381Google Scholar
  15. Liu JG, Zhu QS, Zhang ZJ, Xu JK, Yang JC, Wong MH (2005) Variations in cadmium accumulation among rice cultivars and types and the selection of cultivars for reducing cadmium in the diet. J Sci Food Agric 85:147–153CrossRefGoogle Scholar
  16. Lu C, Shen L, Tan Z, Xu Y, He P, Chen Y, Zhu L (1996) Comparative mapping of QTLs for agronomic traits of rice across environments using a doubled haploid population. Theor Appl Genet 93:1211–1217CrossRefGoogle Scholar
  17. Ma JF, Shen R, Zhao Z, Wissuwa M, Takeuchi Y, Ebitani T, Yano M (2002) Response of rice to Al stress and identification of quantitative trait loci for Al tolerance. Plant Cell Physiol 43:652–659PubMedCrossRefGoogle Scholar
  18. McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M (1997) Report on QTL nomenclature. Rice Genet Newsl 14:11–13Google Scholar
  19. Moya JL, Ros R, Picazo I (1993) Influence of cadmium and nickel on growth, net photosynthesis and carbohydrate distribution in rice plants. Photosynth Res 36:75–80CrossRefGoogle Scholar
  20. Nguyen VT, Burow MD, Nguyen HT, Le BT, Le TD, Paterson AH (2001) Molecular mapping of genes conferring aluminum tolerance in rice (Oryza sativa L.). Theor Appl Genet 102:1002–1010CrossRefGoogle Scholar
  21. Padmaja K, Prasad DDK, Prasad ARK (1990) Inhibition of chlorophyll synthesis in Phaseolus vulgaris seedlings by cadmium acetate. Photosynthetica 24:399–405Google Scholar
  22. Shao G, Hassan M, Zhang X, Zhang G (2004) Effects of cadmium stress on plant growth and antioxidative enzyme system in different rice genotype. Chin J Rice Sci 18:239–244 (in Chinese)Google Scholar
  23. Shao G, Chen M, Wang W, Mou R, Zhang G (2007) Iron nutrition affects cadmium accumulation and toxicity in rice plants. Plant Growth Regul 53:33–42CrossRefGoogle Scholar
  24. Siedlecka A, Baszynski T (1993) Inhibition of electron flow around photosystem I in chloroplasts of cadmium-treated maize plants in due to cadmium-induced iron deficiency. Physiol Plant 87:199–202CrossRefGoogle Scholar
  25. Stobart AK, Griffiths WT, Ameen-Bukhari I, Sherwood RP (1985) The effect of Cd2+ on the biosynthesis of chlorophyll of barley. Physiol Plant 63:293–298CrossRefGoogle Scholar
  26. Teng S, Qian Q, Zeng D, Kunihiro Y, Fujimoto K, Huang D, Zhu L (2004) QTL analysis of leaf photosynthetic rate and related physiological traits in rice (Oryza sativa L.). Euphytica 135:1–7CrossRefGoogle Scholar
  27. Verma S, Dubey RS (2001) Effect of cadmium on soluble sugars and enzymes of their metabolism in rice. Physiol Plant 44:117–123Google Scholar
  28. Wan J, Zhai H, Wan J, Ikehashi H (2003) Detection and analysis of QTLs ferrous iron toxicity tolerance in rice. Euphytica 131:201–206CrossRefGoogle Scholar
  29. Wang DL, Zhu J, Li ZK, Paterson AH (1999) Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet 99:1255–1264CrossRefGoogle Scholar
  30. Wang XY, Wu P, Wu YR, Yan XL (2002) Molecular marker analysis of manganese toxicity tolerance in rice under green house conditions. Plant Soil 238:227–233CrossRefGoogle Scholar
  31. Weigel HJ, Jäger HJ (1980) Subcellular distribution and chemical forms of cadmium in bean plants. Plant Physiol 65:480–482PubMedCrossRefGoogle Scholar
  32. Williams CH, David DJ (1973) The effect of superphosphate on the cadmium content of soils and plants. Aust J Soil Res 11:43–56CrossRefGoogle Scholar
  33. Wong SC, Li XD, Zhang G, Qi SH, Min YS (2002) Heavy metals in agricultural soil of the Pearl River Delta, South China. Environ Pollut 119:33–44PubMedCrossRefGoogle Scholar
  34. Wu P, Luo A, Zhu J, Yang J, Huang N, Senadhira D (1997) Molecular markers linked to genes underlying seedling tolerance for ferrous iron toxicity. Plant Soil 196:317–320CrossRefGoogle Scholar
  35. Wu P, Liao C, Hu B, Yi K, Jin W, Ni J, He C (2000) QTLs and epistasis for aluminum tolerance in rice (Oryza sativa L.) at different seedling stages. Theor Appl Genet 100:1295–1303CrossRefGoogle Scholar
  36. Wu F, Zhang G, Jia G, Zheng S (2006) Genotypic difference in the responses of germination and seedling growth to Cd toxicity in rice (Oryza sativa L.). Agric Sci China 5:68–75Google Scholar
  37. Xu YB, Shen LS, McCouch SR, Zhu LH (1998) Extension of the rice DH population genetic map with microsatellite markers. Chin Sci Bull 42:149–152Google Scholar
  38. Xu J, Li X, Zhu L (2004) Comparative mapping of rice root traits in seedlings grown in nutrient or non-nutrient solution. Prog Nat Sci 4:327–331CrossRefGoogle Scholar
  39. Xue Y, Wan JM, Jiang L, Liu LL, Su N, Zhai HQ, Ma JF (2006) QTL analysis of aluminum resistance in rice (Oryza sativa L.). Plant Soil 287:375–383CrossRefGoogle Scholar
  40. Yoshida S, Forna DA, Cock JH, Gomez KA (1976) Laboratory manual for physiological studies of rice. International Rice Research Institute, Los Banos, Philippines, pp 62–63Google Scholar
  41. Yu H, Wang J, Fang W, Yuan J, Yang Z (2006) Cadmium accumulation in different rice cultivars and screening for pollution-safe cultivars of rice. Sci Total Environ 370:302–309PubMedCrossRefGoogle Scholar
  42. Zeng FR, Mao Y, Cheng WD, Wu FB, Zhang GP (2007) Genotypic and environmental variation in chromium, cadmium and lead concentrations in rice. Environ Pollut. doi: 10.1016/j.envpol.2007.08.022
  43. Zhang J, Zhu YG, Zeng DL, Cheng WD, Qian Q, Duan GL (2008) Mapping quantitative trait loci associated with arsenic accumulation in rice (Oryza sativa). New Phytol 177:350–356PubMedGoogle Scholar
  44. Zhu LH, Chen Y, Xu YB, Xu JC, Cai HW, Ling ZZ (1993) Construction of a molecular map of rice and gene mapping using a double haploid population of a cross between Indica and Japonica varieties. Rice Genet Newsl 10:132–134Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Agronomy DepartmentZhejiang UniversityHangzhouChina
  2. 2.College of AgronomyHenan University of Science and TechnologyLuoyangChina

Personalised recommendations