, Volume 197, Issue 3, pp 341–353 | Cite as

Mapping of QTL associated with waterlogging tolerance and drought resistance during the seedling stage in oilseed rape (Brassica napus)

  • Zhen Li
  • Shufang Mei
  • Zhong Mei
  • Xianglei Liu
  • Tingdong Fu
  • Guangsheng ZhouEmail author
  • Jinxing Tu


Soil waterlogging and drought are major environmental stresses that suppress rapeseed (Brassica napus) growth and yield. To identify quantitative trait loci (QTL) associated with waterlogging tolerance and drought resistance at the rapeseed seedling stage, we generated a doubled haploid (DH) population consisting of 150 DH lines from a cross between two B. napus lines, namely, line No2127-17 × 275B F4 (waterlogging-tolerant and drought-resistant) and line Huyou15 × 5900 F4 (waterlogging-sensitive and drought-sensitive). A genetic linkage map was constructed using 183 simple sequence repeat and 157 amplified fragment length polymorphism markers for the DH population. Phenotypic data were collected under waterlogging, drought and control conditions, respectively, in two experiments. Five traits (plant height, root length, shoot dry weight, root dry weight and total dry weight) were investigated. QTL associated with the five traits, waterlogging tolerance coefficient (WTC) and drought resistance coefficient (DRC) of all the traits were identified via composite interval mapping, respectively. A total of 28 QTL were resolved for the five traits under control conditions, 26 QTL for the traits under waterlogging stresses and 31 QTL for the traits under drought conditions. Eleven QTL were detected by the WTC, and 19 QTL related to DRC were identified. The results suggest that the genetic bases of both waterlogging tolerance and drought resistance are complex. Some of the QTL for waterlogging tolerance-related traits overlapped with QTL for drought resistance-related traits, indicating that the genetic bases of waterlogging tolerance and drought resistance in the DH population were related in some degree.


Brassica napus Quantitative trait loci (QTL) mapping Waterlogging tolerance Drought resistance 



This research was financed by the funds from the High-tech program “863” (2006AA10Z146), the High-tech program “863” (2006AA10A), the National Key Basic Research Special Foundation of China (2001CB1088), the Program for Changjiang Scholar and Innovative Research Team in university (IRT0442), and the Program of “948” (2003-Q04).

Supplementary material

10681_2014_1070_MOESM1_ESM.docx (44 kb)
Supplementary material 1 (DOCX 44 kb)


  1. Ali ML, Pathan MS, Zhang J, Bai G, Sarkarung S, Nguyen HT (2000) Mapping QTLs for root traits in a recombinant inbred population from two indica ecotypes in rice. Theor Appl Genet 101:756–766CrossRefGoogle Scholar
  2. Bailey-Serres J, Voesenek LACJ (2008) Flooding Stress: acclimations and genetic diversity. Annu Rev Plant Biol 59:313–339PubMedCrossRefGoogle Scholar
  3. Collins NC, Tardieu F, Tuberosa R (2008) Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiol 147:469–486PubMedCentralPubMedCrossRefGoogle Scholar
  4. Hirayama T, Shinozaki K (2007) Perception and transduction of abscisic acid signals: keys to the function of the versatile plant hormone ABA. Trends Plant Sci 12:343–351PubMedCrossRefGoogle Scholar
  5. Jackson MB, Saker LR, Crisp CM, Else MA, Janowiak F (2003) Ionic and pH signalling from roots to shoots of flooded tomato plants in relation to stomatal closure. Plant Soil 253:103–113CrossRefGoogle Scholar
  6. Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugen 12:172–175CrossRefGoogle Scholar
  7. Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199PubMedCentralPubMedGoogle Scholar
  8. Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE, Newburg I (1987) MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181PubMedCrossRefGoogle Scholar
  9. Lowe AJ, Moule C, Trick M, Edwards KJ (2004) Efficient large-scale development of microsatellites for marker and mapping applications in Brassica crop species. Theor Appl Genet 108:1103–1112PubMedCrossRefGoogle Scholar
  10. Materechera SA, Alston AM, Kirky JM, Dexter AR (1992) Influence of root diameter on the penetration of seminal roots into a compacted subsoil. Plant Soil 144:297–303CrossRefGoogle Scholar
  11. Nandi S, Subudhi PK, Senadhira D, Manigbas NL, Sen-Mandi S, Huang N (1997) Mapping QTLs for submergence tolerance in rice by AFLP and selective genotype. Mol Gen Genet 255:1–8PubMedCrossRefGoogle Scholar
  12. Piquemal J, Cinquin E, Couton F, Rondeau C, Seignoret E, Doucet I, Perret D, Villeger MJ, Vincourt P, Blanchard P (2005) Construction of an oilseed rape (Brassica napus L.) genetic map with SSR markers. Theor Appl Genet 111:1514–1523PubMedCrossRefGoogle Scholar
  13. Qiu D, Morgan C, Shi J, Long Y, Liu J, Li R, Zhuang X, Wang Y, Tan X, Dietrich E, Weihmann T, Everett C, Vanstraelen S, Beckett P, Fraser F, Trick M, Barnes S, Wilmer J, Schmidt R, Li J, Li D, Meng J, Bancroft I (2006) A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content. Theor Appl Genet 114:67–80PubMedCrossRefGoogle Scholar
  14. SAS Institute Inc. (1999) SAS user’s guide, release 8.01 edition. SAS Institute Inc., CaryGoogle Scholar
  15. Seki M, Umezawa T, Urano K, Shinozaki K (2007) Regulatory metabolic networks in drought stress responses. Physiol Metab 10:296–302Google Scholar
  16. Shao HB, Chu LY, Shao MA, Jaleel CA, Mi HM (2008) Higher plant antioxidants and redox signaling under environmental stresses. CR Biol 331:433–441CrossRefGoogle Scholar
  17. Sripongpangkul K, Posa GBT, Senadhira DW, Brar D, Huang N, Khush GS, Li ZK (2000) Genes/QTLs affecting flood tolerance in rice. Theor Appl Genet 101:1074–1081CrossRefGoogle Scholar
  18. Stuart JR, Elise JT, Mark T (2011) Genetic analysis of abiotic stress tolerance in crops. Curr Opin Plant Biol 14:232–239CrossRefGoogle Scholar
  19. Toojinda T, Siangliw M, Tragoonrung S, Vanavichit A (2003) Molecular genetics of submergence tolerance in rice: QTL analysis of key traits. Ann Bot 91:243–253PubMedCrossRefGoogle Scholar
  20. Tournaire-Roux C, Sutka M, Javot H, Gout E, Gerbeau P, Luu DT, Bligny R, Maurel C (2003) Cytosolic pH regulates root water transport during anoxic stress through gating of aquaporins. Nature 425:393–397PubMedCrossRefGoogle Scholar
  21. Tran LSP, Nakashima K, Shinozaki K, Yamaguchi-Shinozaki K (2007) Plant gene networks in osmotic stress response: from genes to regulatory networks. Methods Enzymol 428:109–128PubMedCrossRefGoogle Scholar
  22. VanToai TT, Martin SKS, Chase K, Boru G, Schnipke V, Schmitthenner AF, Karl GL (2001) Identification of a QTL associated with tolerance of soybean to soil waterlogging. Crop Sci 41:1247–1252CrossRefGoogle Scholar
  23. Voorrips RE (2002) MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered 93(1):77–78PubMedCrossRefGoogle Scholar
  24. Vos P, Hogers R, Bleeker M, Reijans M, Van de Lee T, Hornes M, Frijters A, Pot J, Peleman J, Kuiper M, Zabeau M (1995) AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res 23:4407–4414PubMedCentralPubMedCrossRefGoogle Scholar
  25. Wang S, Basten CJ, Zeng ZB (2006) Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, RaleighGoogle Scholar
  26. Xu KN, Mackill DJ (1996) A major locus for submergence tolerance mapped on rice chromosome 9. Mol Breed 2:219–224CrossRefGoogle Scholar
  27. Xu KN, Xu X, Fukao T, Canlas P, Reycel MR, Sigrid H, Ismail AM, Julia BS, Ronald PC, Mackill DJ (2006) Sub1A is an ethylene-response-factor-like gene that confers submergence tolerance to rice. Nature 442:105–708CrossRefGoogle Scholar
  28. Xu Q, Yuan XP, Yu HY, Wang YP, Tang SX, Wei XH (2011) Mapping QTLs for drought tolerance at seedling stage in rice using doubled haploid population. Rice Sci 18(1):23–28CrossRefGoogle Scholar
  29. Yamaguchi-Shinozaki K, Shinozaki K (2006) Transcriptional regulatory networks in cellular responses and tolerance to dehydration and cold stresses. Annu Rev Plant Biol 57:781–803PubMedCrossRefGoogle Scholar
  30. Yue B, Xue WY, Xiong LZ, Yu XQ, Luo LJ, Cui KH, Jin DM, Xing YZ, Zhang QF (2006) Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance. Genetics 172:1213–1228PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Zhen Li
    • 2
  • Shufang Mei
    • 2
  • Zhong Mei
    • 2
  • Xianglei Liu
    • 2
  • Tingdong Fu
    • 1
  • Guangsheng Zhou
    • 1
    Email author
  • Jinxing Tu
    • 1
  1. 1.National Key Laboratory of Crop Genetic Improvement, College of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina
  2. 2.Department of Agriculture and BioengineeringJinhua College of Profession and TechnologyJinhuaChina

Personalised recommendations