期刊论文详细信息
BMC Genetics
Multiple major QTL lead to stable yield performance of rice cultivars across varying drought intensities
Arvind Kumar1  Modesto Amante1  Paul T Maturan1  Ma Teresa Sta Cruz1  Anshuman Singh1  Shalabh Dixit1 
[1] International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines
关键词: Stability;    QTL;    Grain yield;    Drought;    Rice;   
Others  :  1085913
DOI  :  10.1186/1471-2156-15-16
 received in 2013-08-21, accepted in 2014-01-29,  发布年份 2014
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【 摘 要 】

Background

Availability of irrigation water is becoming a major limiting factor in rice cultivation. Production in rainfed areas is affected in particular by drought events, as these areas are commonly planted to high-yielding drought-susceptible rice (Oryza sativa L.) varieties. The use of bulk segregant analysis (BSA), taking grain yield (GY) as a selection criterion, has resulted in the identification of several large-effect QTL. A QTL mapping study was undertaken on a BC1F3:4 population developed from the cross IR55419-04/2*TDK1 with the aim of identifying large-effect QTL in the background of TDK1, a popular variety from Lao PDR.

Results

The study identified three QTL—qDTY3.1 (RM168-RM468), qDTY6.1 (RM586-RM217), and qDTY6.2 (RM121-RM541)—for grain yield under drought. qDTY3.1 and qDTY6.1, showed consistent effect across seasons under lowland drought-stress conditions while qDTY6.1 and qDTY6.2 showed effect under both upland and lowland drought conditions. The test of QTL effect, conducted through a QTL class analysis, showed the complimentary nature of qDTY3.1 and qDTY6.1. Both QTL showed specific patterns of effect across different maturity groups within the mapping population and higher stability for grain yield was seen across stress levels for lines with both QTLs as compared to those with single or no QTL.

Conclusions

The study offers a clear understanding of large-effect QTL for grain yield under drought and their effect as individual QTL and in various combinations. The study also opens up an opportunity to develop a drought-tolerant version of TDK1 through marker-assisted backcross breeding and has led to a large-scale QTL pyramiding program aiming to combine these QTL with Sub1 in the background of TDK1 as recipient variety.

【 授权许可】

   
2014 Dixit et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Kumar V, Ladha JK: Direct seeding of rice: recent developments and future research needs. Adv Agron 2011., 111DOI: 10.1016/B978-0-12-387689-8.00001-1
  • [2]Wassmann R, Jagadish SVK, Sumfleth K, Pathak H, Howell G, Ismail A, Serraj R, Redoña E, Singh RK, Heuer S: Regional vulnerability of climate change impacts on Asian rice production and scope for adaptation. Adv Agron 2009, 102:91-133.
  • [3]Bates BC, Kundzewicz ZW, Wu S, Palutikof JP: Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change. Geneva: IPCC Secretariat; 2008:210. http://www.ipcc.ch/pdf/technical-papers/climate-change-water-en.pdf webcite
  • [4]Molden D, Frenken K, Barker R, de Fraiture C, Mati B, Svendsen M, Sadoff C, Finlayson CM, Attapatu S, Giordano M, Inocencio A, Lannerstad M, Manning N, Molle F, Smedema B, Vallée D: Trends in water and agriculture development. In Water for food, water for life: A comprehensive assessment of water management in agriculture. Colombo, and London: Earthscan: International Water Management Institute; 2007:57-89.
  • [5]Vikram P, Mallikarjuna Swamy BP, Dixit S, Ahmed HU, Sta Cruz MT, Singh AK, Kumar A: qDTY1.1, a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds. BMC Genet 2011, 12:89.
  • [6]Kumar A, Bernier J, Verulkar S, Lafitte HR, Atlin GN: Breeding for drought tolerance: direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland-adapted populations. Field Crops Res 2008, 107:221-231.
  • [7]Venuprasad R, Lafitte HR, Atlin GN: Response to direct selection for grain yield under drought stress in rice. Crop Sci 2007, 47:285-293.
  • [8]Venuprasad R, Sta Cruz MT, Amante M, Magbanua R, Kumar A, Atlin GN: Response to two cycles of divergent selection for grain yield under drought stress in four rice breeding populations. Field Crops Res 2008, 107:232-244.
  • [9]Bernier J, Kumar A, Venuprasad R, Spaner D, Atlin GN: A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Sci 2007, 47:507-516.
  • [10]Venuprasad R, Dalid CO, Del Valle M, Zhao D, Espiritu M, Sta Cruz MT, Amante M, Kumar A, Atlin GN: Identification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysis. Theor Appl Genet 2009, 120:177-190.
  • [11]Venuprasad R, Bool ME, Quiatchon L, Atlin GN: A QTL for rice grain yield in aerobic environments with large effects in three genetic backgrounds. Theor Appl Genet 2012, 124:323-332.
  • [12]Ghimire KH, Quiatchon LA, Vikram P, Mallikarjuna Swamy BP, Dixit S, Ahmed H, Hernandez JE, Borromeo TH, Kumar A: Identification and mapping of a QTL (qDTY1.1) with a consistent effect on grain yield under drought. Field Crops Res 2012, 131:88-96.
  • [13]Mishra KK, Vikram P, Yadaw RB, Swamy BPM, Dixit S, Sta Cruz MT, Maturan P, Marker S, Kumar A: qDTY 12.1 : a locus with a consistent effect on grain yield under drought in rice. BMC Genet 2013, 14:12.
  • [14]Yadav RB, Dixit S, Raman A, Mishra KK, Vikram P, Swamy BPM, Sta Cruz MT, Maturan PT, Pandey M, Kumar A: A QTL for high grain yield under lowland drought in the background of popular rice variety Sabitri from Nepal. Field Crops Res 2013, 144:281-287.
  • [15]Bernier J, Kumar A, Venuprasad R, Spaner D, Verulkar S, Mandal NP, Sinha PK, Peeraju P, Dongre PR, Mahto RN, Atlin G: Characterization of the effect of a QTL for drought resistance in rice, qtl12.1, over a range of environments in the Philippines and eastern India. Euphytica 2009, 166:207-217.
  • [16]Swamy BPM, Ahmed HU, Henry A, Mauleon R, Dixit S, Vikram P, Tilatto R, Verulkar SB, Perraju P, Mandal NP, Variar M, Robin S, Chandrababu R, Singh ON, Dwivedi JL, Das SP, Mishra KK, Yadaw RB, Aditya TL, Karmakar B, Satoh K, Moumeni A, Kikuchi S, Leung H, Kumar A: Genetic, physiological, and gene expression analyses reveal that multiple QTL enhance yield of rice mega- variety IR64 under drought. Plos One 2013, 8(5):e62795.
  • [17]Vikram P, Swamy BPM, Dixit S, Ahmed HU, Sta Cruz MT, Singh AK, Ye G, Kumar A: Bulk segregant analysis: an effective approach for mapping drought grain yield QTLs in rice. Field Crops Res 2012, 134:185-192.
  • [18]Wissuwa M, Yano M, Ae N: Mapping of QTLs for phosphorus deficiency tolerance in rice (Oryza sativa L.). Theor Appl Genet 1998, 97:777-783.
  • [19]Yano M, Kojima S, Takahashi Y, Lin H, Sasaki T: Genetic control of flowering time in rice, a short-day plant. Plant Physiol 2001, 127:1425-1429.
  • [20]Dasgupta T, Hossain SA, Meharg AA, Price AH: An arsenate tolerance gene on chromosome 6 of rice. New Phytol 2004, 163:45-49.
  • [21]Dixit S, Mallikarjuna Swamy BP, Vikram P, Ahmed HU, Sta Cruz MT, Amante M, Atri D, Leung H, Kumar A: Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities. Theor Appl Genet 2012, 125:155-169.
  • [22]Lafitte HR, Price AH, Courtois B: Yield response to water deficit in an upland rice mapping population: associations among traits and genetic markers. Theor Appl Genet 2004, 109:1237-1246.
  • [23]SAS Institute Inc: SAS online doc® 9.1.3. Cary, NC, USA: SAS Institute Inc; 2004.
  • [24]Zobel RW, Wright MJ, Gauch HG: Statistical analysis of a yield trial. Agron J 1988, 80:388-393.
  • [25]Gauch HG: Statistical analysis of regional trials. AMMI analysis of factorial design. 1st edition. New York, USA: Elsevier; 1992.
  • [26]Panaud O, Chen X, McCouch S: Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Mol Gen Genet 1996, 252:597-607.
  • [27]Sambrook J, Fritsch EF, Maniatis T: Molecular cloning: a laboratory manual. 2nd edition. New York, USA: Cold Spring Harbor; 1989.
  • [28]IRGSP (International Rice Genome Sequencing Project): The map-based sequence of the rice genome. Nature 2005, 436:793-800.
  • [29]Joehanes R, Nelson JC: QGene 4.0, an extensible Java QTL-analysis platform. Bioinformatics 2008, 24:2788-2789.
  • [30]Berloo RV: GGT 2.0: versatile software for visualization and analysis of genetic data. J Heredity 2008, 99(2):232-236.
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