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Journal of Integrative Agriculture  2020, Vol. 19 Issue (8): 1974-1983    DOI: 10.1016/S2095-3119(19)62783-8
Special Issue: 油料作物合辑Oil Crops
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Unraveling waterlogging tolerance-related traits with QTL analysis in reciprocal intervarietal introgression lines using genotyping by sequencing in rapeseed (Brassica napus L.)
DING Xiao-yu*, XU Jin-song*, HUANG He, QIAO Xing, SHEN Ming-zhen, CHENG Yong, ZHANG Xue-kun
Key Laboratory of Oil Crop Biology and Genetic Improvement, Ministry of Agriculture and Rural Affairs/Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430070, P.R.China
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Abstract  
Soil waterlogging is a major environmental stress that suppresses the growth and productivity of rapeseed (Brassica napus L.).  Natural genetic variations in waterlogging tolerance (WT) were observed but no QTL mapping has been done for WT related traits in rapeseed. In this study, QTL associated with three WT related traits including relative root length (RRL), relative hypocotyl length (RHL) and relative fresh weight (RFW) were dissected using a set of reciprocal introgression lines (ILs) derived from the cross GH01×ZS9, which showed significant difference in WT.  Genotyping-by-sequencing (GBS) of the populations were performed, totally 1 468 and 1 450 binned SNPs were identified for GIL (GH01 as the recurrent parent) and ZIL (ZS9 as the recurrent parent) population, respectively.  A total of 66 distinct QTLs for WT at the seedling establishment stage including 31 for RRL, 17 for RHL and 18 for RFW were detected.  Among the 66 QTLs, 20 (29.4%) QTLs were detected in both genetic backgrounds and then they were integrated into six QTL clusters, which can be targeted in rapeseed breeding for improvement of WT through marker-assisted selection (MAS).  Based on the physical positions of SNPs and the functional annotation of the Arabidopsis thaliana genome, 56 genes within the six QTL cluster regions were selected as preliminary candidate genes, then the resequencing and transcriptome information about parents were applied to narrow the extent of candidate genes.  Twelve genes were determined as candidates for the six QTL clusters, some of them involved in RNA/protein degradation, most of them involved in oxidation-reduction process.  These findings provided genetic resources, candidate genes to address the urgent demand of improving WT in rapeseed breeding.
Keywords:  em>Brassica napus        candidate genes       marker-assisted selection        quantitative trait loci mapping        waterlogging tolerance  
Received: 10 April 2019   Accepted:
Fund: This research was funded by the National Key Research and Development Program of China (2017YFD0101700) and the National Natural Science Foundation of China (31301361 and 31171589).
Corresponding Authors:  Correspondence XU Jin-song, E-mail: xujingsong@caas.cn    
About author:  * These authors contributed equally to this study.

Cite this article: 

DING Xiao-yu, XU Jin-song, HUANG He, QIAO Xing, SHEN Ming-zhen, CHENG Yong, ZHANG Xue-kun. 2020. Unraveling waterlogging tolerance-related traits with QTL analysis in reciprocal intervarietal introgression lines using genotyping by sequencing in rapeseed (Brassica napus L.). Journal of Integrative Agriculture, 19(8): 1974-1983.

Ahmadi N, Albar L, Pressoir G. 2001. Genetic basis and mapping of the resistance to rice yellow mottle virus: III. Analysis of QTL efficiency in introgressed progenies confirmed the hypothesis of complementary epistasis between two resistance QTLs. Theoretical and Applied Genetics, 103, 1084–1092.
Basunanda P, Radoev M, Ecke W. 2010. Comparative mapping of quantitative trait loci involved in heterosis for seedling and yield traits in oilseed rape (Brassica napus L.). Theoretical and Applied Genetics, 120, 271–281.
Berloo R, Aalbers H, Werkman A, Niks R E. 2001. Resistance QTL confirmed through development of QTL-NILs for barely leaf rust resistance. Molecular Breeding, 8, 187–195.
Boru G, van Ginkel M, Kronstad W E, Boersma L. 2001. Expression and inheritance of tolerance to waterlogging stress in wheat. Euphytica, 117, 91–98.
Bradbury P J, Zhang Z, Kroon D E. 2007. TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics, 23, 2633–2635.
Broman K W, Wu H, Sen S, Churchill G A. 2003. R/qtl: QTL mapping in experimental crosses. Bioinformatics, 19, 889–890.
Chalhoub B, Denoeud, F, Liu S. 2014. Early allopolyploid evolution in the post-neolithic Brassica napus oilseed genome. Science, 345, 950–953.
Cheng Y, Gu M, Ye C. 2010. Combining ability and genetic effects of germination traits of Brassica napus L. under waterlogging stress condition. Journal of Integrative Agriculture, 9, 951–957.
Christianson J A, Llewellyn D J, Dennis E S, Wilson I W. 2010. Global gene expression responses to waterlogging in roots and leaves of cotton (Gossypium hirsutum L.). Plant Cell Physiology, 51, 21–37.
Elshire R J, Glaubitz J C, Sun Q. 2011. A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS ONE, 6, e19379.
Glaubitz J C, Casstevens T M, Lu F. 2014. TASSEL-GBS: A high capacity genotyping by sequencing analysis pipeline. PLoS ONE, 9, e90346.
Ku Y G, Park W, Bang J K. 2009. Physiological response, fatty acid composition and yield component of Brassica napus L. under short-term waterlogging. Journal of Bio-Environment Control, 18, 142–147.
Lasanthi-Kudahettige R, Magneschi L, Loreti E. 2007. Transcript profiling of the anoxic rice coleoptile. Plant Physiology, 144, 218–231.
Lee Y H, Kim K S, Jang Y S. 2013. Global gene expression responses to waterlogging in leaves of rape seedlings. Plant Cell Report, 33, 289–299.
Mano Y, Omori F. 2015. Flooding tolerance in maize (Zea mays subsp. mays) F1 hybrids contained a QTL introgressed from teosinte (Zea nicaraguensis). Euphytica, 205, 255–267.
Mei H W, Xu J L, Li Z K. 2006. QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.). Theoretical and Applied Genetics, 112, 648–656.
Nguyen V T, Vuong T D, VanToai T. 2012. Mapping of quantitative trait loci associated with resistance to Phytophthora sojae and flooding tolerance in soybean. Crop Science, 52, 1–13.
R Core Team. 2016. R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. [2016-04-12]. http://www.R-project.org/
Rhine M D, Steven G, Shannon J G. 2010. Yield and nutritional responses to waterlogging to soybean cultivars. Irrigation Science, 28, 135–142.
Sebolt A M, Shoemaker R C, Diers B W. 2000. Analysis of a quantitative trait locus allele from wild soybean that increase seed protein concentration in soybean. Crop Science, 40, 1438–1444.
Shen Y, Yang Y, Xu E. 2018. Novel and major QTL for branch angle detected by using DH population from an exotic introgression in rapeseed (Brassica napus L.). Theoretical and Applied Genetics, 131, 67–78.
Shi J, Li R, Qiu D. 2009. Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus. Genetics, 182, 851–859.
Swarts K, Li H, Romero Navarro J A. 2014. Novel methods to optimize genotypic imputation for low-coverage, next-generation sequence data in crop plants. Plant Genome, 7, 1–12.
Voesenek C J, Bailey-Serres J. 2013. Flooding tolerance: O2 sensing and survival strategies. Current Opinion in Plant Biology, 16, 647–653.
Voesenek C J, Bailey-Serres J. 2015. Flood adaptive traits and processes: an overview. New Phytologist, 206, 57–73.
Wang S, Basten C, Zeng Z. 2007. Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh, NC.
Yin Y, Wang H, Liao X. 2009. Analysis and strategy for 2009 rapeseed industry development in China. Journal of Oil Crop Science, 31, 259–262. (in Chinese)
Yousef G G, Juvik J A. 2002. Enhancement of seeding emergence in sweet corn by marker-assisted backcrossing of beneficial QTL. Crop Science, 42, 96–104.
Zaidi P H, Rashid Z, Vinayan M T. 2015. QTL mapping of agronomic waterlogging tolerance using recombinant inbred lines derived from tropical maize (Zea mays L.) germplasm. PLoS ONE, 10, e0124350.
Zhou W, Zhao D, Lin X. 1997. Effects of waterlogging on nitrogen accumulation and alleviation of waterlogging damage by application of nitrogen fertilizer and mixtalol in winter rape (Brassica napus L.). Journal of Plant Growth Regulation, 16, 47–53.
Zou X, Hu C, Zeng L. 2014. A comparison of screening methods to identify waterlogging tolerance in the field in Brassica napus L. during plant ontogeny. PLoS ONE, 9, e89731.
Zou X, Tan X, Hu C. 2013. The transcriptome of Brassica napus. L roots under waterlogging at the seedling stage. International Journal of Molecular Science, 14, 2637–2651.
 Zou X, Zeng L, Lu G. 2015. Comparison of transcriptomes undergoing waterlogging at the seedling stage between tolerant and sensitive varieties of Brassica napus L. Journal of Integrative Agricutre, 14, 1723–1734.
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