BMC Genetics | |
Identifying and confirming quantitative trait loci associated with heat tolerance at flowering stage in different rice populations | |
Glenn B Gregorio3  Krishna SV Jagadish3  Edilberto D Redoña2  Hee-Jong Koh1  Marcelino A Laza3  May A Argayoso3  Fatima A Tenorio3  Changrong Ye3  | |
[1] Seoul National University, Seoul 151-921, South Korea;Present address: Mississippi State University, Stoneville 38776, MS, USA;International Rice Research Institute, Metro Manila 1301, Philippines | |
关键词: Rice; Spikelet fertility; Quantitative trait locus; Heat stress; Global warming; | |
Others : 1178833 DOI : 10.1186/s12863-015-0199-7 |
|
received in 2015-02-16, accepted in 2015-04-14, 发布年份 2015 |
【 摘 要 】
Background
Climate change is affecting rice production in many countries. Developing new rice varieties with heat tolerance is an essential way to sustain rice production in future global warming. We have previously reported four quantitative trait loci (QTLs) responsible for rice spikelet fertility under high temperature at flowering stage from an IR64/N22 population. To further explore additional QTL from other varieties, two bi-parental F2 populations and one three-way F2 population derived from heat tolerant variety Giza178 were used for indentifying and confirming QTLs for heat tolerance at flowering stage.
Results
Four QTLs (qHTSF1.2, qHTSF2.1, qHTSF3.1 and qHTSF4.1) were identified in the IR64/Giza178 population, and two other QTLs (qHTSF6.1 and qHTSF11.2) were identified in the Milyang23/Giza178 population. To confirm the identified QTLs, another three-way-cross population derived from IR64//Milyang23/Giza178 was genotyped using 6K SNP chips. Five QTLs were identified in the three-way-cross population, and three of those QTLs (qHTSF1.2, qHTSF4.1 and qHTSF6.1) were overlapped with the QTLs identified in the bi-parental populations. The tolerance alleles of these QTLs were from the tolerant parent Giza178 except for qHTSF3.1. The QTL on chromosome 4 (qHTSF4.1) is the same QTL previously identified in the IR64/N22 population.
Conclusion
The results from different populations suggest that heat tolerance in rice at flowering stage is controlled by several QTLs with small effects and stronger heat tolerance could be attained through pyramiding validated heat tolerance QTLs. QTL qHTSF4.1 was consistently detected across different genetic backgrounds and could be an important source for enhancing heat tolerance in rice at flowering stage. Polymorphic SNP markers in these QTL regions can be used for future fine mapping and developing SNP chips for marker-assisted breeding.
【 授权许可】
2015 Ye et al.; licensee BioMed Central.
Files | Size | Format | View |
---|---|---|---|
Figure 2. | 65KB | Image | download |
Figure 4. | 15KB | Image | download |
Figure 3. | 16KB | Image | download |
Figure 4. | 92KB | Image | download |
Figure 1. | 137KB | Image | download |
【 图 表 】
Figure 1.
Figure 4.
Figure 3.
Figure 4.
Figure 2.
【 参考文献 】
- [1]Jansen E, Overpeck J, Briffa KR, Duplessy J-C, Joos F, Masson-Delmotte V, Olago D, Otto-Bliesner B, Peltier WR, Rahmstorf S, et al.: Palaeoclimate. In Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Edited by Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA; 2007.
- [2]IPCC: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (Eds): Summary for Policymakers In Climate Change 2013: The Physical Science Basis Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA; 2013:1-30.
- [3]Collins M, Knutti R, Arblaster J, Dufresne J-L, Fichefet T, Friedlingstein P, Gao X, Gutowski WJ, Johns T, Krinner G, et al.: Long-term Climate Change: Projections, Commitments and Irreversibility. In Climate Change 2013: The Physical Science Basis Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Edited by Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA; 2013:1029-1136.
- [4]Morice CP, Kennedy JJ, NA R, Jones PD: Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 dataset. Journal of Geophysical Research 2012., 117Article ID D08101
- [5]NOAA National Climatic Data Center: State of the Climate: Global Analysis for Annual 2011. published online December 2011, retrieved on April 5, 2015 from http://wwwncdcnoaagov/sotc/global/2011/13.
- [6]Osada A, Sasiprapa V, Rahong M, Dhammanuvong S, Chakrabandho H: Abnormal occurrence of empty grains of indica rice plants in the dry hot season in Thailand. Proceedings of Crop Science Society of Japan 1973, 42:103-109.
- [7]Matsushima S, Ikewada H, Maeda A, Honda S, Niki H: Studies on rice cultivation in the tropics. I Yielding and ripening responses of the rice plant to the extremely hot and dry climate in Sudan. Japan Journal of Tropical Agriculture 1982, 26:19-25.
- [8]Tian X, Luo H, Zhou H, Wu C: Research on heat stress of rice in China: progress and prospect. Chinese Agricultural Science Bulletin 2009, 25(22):166-168.
- [9]Hasegawa T, Kuwagata T, Nishimori M, Ishigooka Y, Murakami M, Yoshimoto M, Kondo M, Ishimaru T, Sawano S, Masaki Y, et al.: Recent warming trends and rice growth and yield in Japan. Proceeding of the MARCO Symposium 2009, 44-51.
- [10]Lobell DBMB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL: Prioritizing Climate Change Adaptation Needs for Food Security in 2030. Science 2008, 319:607-610.
- [11]Cline W: Global warming and agriculture. Finnance and Development 2008, 45:23-27.
- [12]Battisti D, Naylor R: Historical Warnings of Future Food Insecurity with Unprecedented Seasonal Heat. Science 2009, 323(5911):240-244.
- [13]Basak J, Ali M, Islam MN, Rashid M: Assessment of the effect of climate change on boro rice production in Bangladesh using DSSAT model. Journal of Civil Engineering 2010, 38(2):95-108.
- [14]Karim MR, Ishikawa M, Ikeda M, Islam M: Climate change model predicts 33% rice yield decrease in 2100 in Bangladesh. Agronomy for Sustainable Development 2012, 32(4):821-830.
- [15]Satake T, Yoshida S: High temperature induced sterility in Indica rice at flowering. Japan Journal of Crop Science 1978, 47(1):6-17.
- [16]Sato K, Inaba K, Tosawa M: High temperature injury of ripening in rice plant. I The effects of high temperature treatment at different stages of panicle development on the ripening. Proceedings of Crop Science Society of Japan 1973, 42:207-213.
- [17]Matsui TON, Ziska LH, Horie T: Effect of high temperature and CO2 concentration on spikelet sterility in Indica rice. Field Crops Research 1997, 51:213-219.
- [18]Matsui T, Omasa K, Horie T: High temperature induced spikelet sterility of japonica rice at flowering in relation to air humidity and wind velocity conditions. Japan Journal of Crop Science 1997, 66:449-455.
- [19]Prasad P, Boote K, Allen L, Sheehy J, Thomas J: Species, ecotype and cultivar differences in spikelet fertility and harvest index of rice in response to high temperature stress. Field Crops Research 2006, 95:398-411.
- [20]Zhong L, Cheng F, Wen X, Sun X, Zhang G: The deterioration of eating and cooking quality caused by high temperature during grain filling in early-season indica rice cultivas. Journal of Agronomy and Crop Science 2005, 191(3):218-225.
- [21]Matsui T, Omasa K: Rice (Oryza sativa L.) cultivars tolerant to high temperature at flowering: anther characteristics. Ann Bot 2002, 89(6):683-687.
- [22]Matsui T, Omasa K, Horie T: The differences in sterility due to high temperature during the flowering period among japonica rice varieties. Plant Production Science 2001, 4(2):90-93.
- [23]Tenorio FA, Ye C, Redoña E, Sierra S, Laza M, Argayoso MA: Screening rice genetic resources for heat tolerance. SABRAO Journal of Breeding and Genetics 2013, 45(3):341-351.
- [24]Cao L, Zhao J, Zhan X, Li D, He L, Cheng S: Mapping QTLs for heat tolerance and correlation between heat tolerance and photosynthetic rate in rice. Chinese Journal of Rice Science 2003, 17(3):223-227.
- [25]Chen Q, Yu S, Li C, Mou T: Identification of QTLs for heat tolerance at flowering stage in rice. Scientia Agricultura Sinica 2008, 41(2):315-321.
- [26]Cheng L, Wang JM, Uzokwe V, Meng LJ, Wang Y, Sun Y, Zhu LH, Xu JL, Li Z: GeneticAnalysis of ColdTolerance at SeedlingStage and HeatTolerance at Anthesis in Rice. Journal of Integrative Agriculture 2012, 11(3):359-367.
- [27]Zhang T, Yang L, Jiang K, Huang M, Sun Q, Chen W, Zheng J: QTL mapping for heat tolerance of the tassel period of rice. Molecular Plant Breeding 2008, 6(5):867-873.
- [28]Jagadish S, Cairns J, Lafitte R, Wheeler T, Price A, Craufurd P: Genetic analysis of heat tolerance at anthesis in rice. Crop Science 2010, 50:1633-1641.
- [29]Xiao Y, YP L, Luo G, Zhang H, Deng L, Dai X, Liu W, Tang L, Chen G: Wang: Quantitative trait loci associated with seed set under high temperature stress at the flowering stage in rice. Euphytica 2011, 178:331-338.
- [30]Ye C, Argayoso MA, Redoña ED, Sierra SN, Laza MA, Dilla CJ, Mo YJ, Thomson MJ, Chin JH, Delaviña CB, Diaz GQ, Hernandez JE: Mapping QTL for heat tolerance at flowering stage in rice using SNP markers. Plant Breeding 2012, 131(1):33-41.
- [31]Zhang G, Chen L, Xiao G, Xiao Y, Chen X, Zhang S: Bulked segregant analysis to detect QTL related to heat tolerance in rice using SSR markers. Agricultural Sciences in China 2009, 8(4):482-487.
- [32]Redona E, Manigbas N, Laza M, Sierra S, Bartolome V, Nora L, Barroga W, Noriel J. Identifying heat tolerant rice genotypes under different environments. SABRAO Journal of Breeding and Genetics 2009, 41 (special suppl.):Published in CD (ISSN 1029–7073).
- [33]Jagadish S, Muthurajan R, Oane R, Wheeler T, Heuer S, Bennett J, Craufurd Q: Physiological and proteomic approaches to address heat tolerance during anthesis in rice. Journal of Experimental Botany 2010, 61(1):143-156.
- [34]Khush G, Virk P. IR varieties and their impact. Los Banos, Philippines: International Rice Research Institute (ISBN 971-22-0206-2); 2005.
- [35]Zhao K, Wright M, Kimball J, Eizenga G, McClung A, Kovach M, Tyagi W, Ali M, Tung C, Reynolds A, et al.: Genomic diversity and introgression in O. sativa reveal the impact of domestication and breeding on the rice genome. PLoS ONE 2010, 5(5):e10780.
- [36]Thomson M, Zhao K, Wright M, McNally K, Rey J, Tung C, Reynolds A, Scheffler B, Eizenga G, McClung A, et al.: High-throughput single nucleotide polymorphism genotyping for breeding applications in rice using the BeadXpress platform. Molecular Breeding 2012, 29:875-886.
- [37]McNally K, Childs K, Bohnert R, Davidson R, Zhao K, Ulat V, Zeller G, Clark R, Hoen D, Bureau T, et al.: Genomewide SNP variation reveals relationships among landraces and modern varieties of rice. Proceedings of the National Academy of Sciences USA 2009, 106(30):12273-12278.
- [38]Wright M, Tung CW, Zhao KY, Reynolds A, McCouch SR, Bustamante C: ALCHEMY: a reliable method for automated SNP genotype calling for small batch sizes and highly homozygous populations. Bioinformatics 2010, 26:2952-2960.
- [39]Joehanes R, Nelson J: QGene 4.0, an extensible Java QTL-analysis platform. Bioinformatics 2008, 24:2788-2789.
- [40]Churchill G, Doerg R: Empirical threshold values for quantitative trait mapping. Genetics 1994, 138:963-971.
- [41]Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES: TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 2007, 23(19):2633-2635.
- [42]Bandillo N, Raghavan C, Muyco PA, Sevilla MA, Lobina IT, Dilla-Ermita CJ, Tung CW, McCouch S, Thomson M, Mauleon R, et al.: Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding. Rice 2013, 6(1):11-15. BioMed Central Full Text
- [43]McCouch SR: CGSNL: Gene nomenclature system for rice. Rice 2008, 1:72-84.
- [44]Morrell PL, Buckler ES, Ross-Ibarra J: Crop genomics: advances and applications. Nat Rev Genet 2012, 13(2):85-96.
- [45]Cavanagh C, Morell M, Mackay I, Powell W: From mutations to MAGIC: resources for gene discovery, validation and delivery in crop plants. Current opinion in plant biology 2008, 11(2):215-221.
- [46]Wang K, Zhang X, Goatley M, Ervin E: Heat Shock Proteins in Relation to Heat Stress Tolerance of Creeping Bentgrass at Different N Levels. PLoS ONE 2014., 9(7) Article ID e102914