期刊论文详细信息
BMC Genetics
Genome-wide response to selection and genetic basis of cold tolerance in rice (Oryza sativa L.)
Zhi-Kang Li2  Xian-Bin Hao1  Yong-Ming Gao2  Xiu-Fang Ma1  Fan Zhang2 
[1]Liaoning Academy of Agricultural Sciences, Shenyang, Liaoning, China
[2]Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
关键词: Hidden genetic diversity;    Epistasis;    Non-random association;    Functional genetic units;    Selection;   
Others  :  866510
DOI  :  10.1186/1471-2156-15-55
 received in 2014-03-04, accepted in 2014-05-02,  发布年份 2014
PDF
【 摘 要 】

Background

Cold stress is an important factor limiting rice yield in many areas of high latitude and altitude. Considerable efforts have been taken to genetically dissect cold tolerance (CT) in rice using DNA markers. Because of possible epistasis and gene × environment interactions associated with identified quantitative trait loci, the results of these genetic studies have unfortunately not been directly applicable to marker-assisted selection for improved rice CT. In this study, we demonstrated the utility of a selective introgression strategy for simultaneous improvement and genetic dissection of rice seedling CT.

Results

A set of japonica introgression lines (ILs) with significantly improved seedling CT were developed from four backcross populations based on two rounds of selection. Genetic characterization of these cold-tolerant ILs revealed two important aspects of genome-wide responses to strong phenotypic selection for rice CT: (1) significant over-introgression of donor alleles at 57 loci in 29 functional genetic units (FGUs) across the rice genome and (2) pronounced non-random associations between or among alleles at many unlinked CT loci. Linkage disequilibrium analyses of the detected CT loci allowed us to construct putative genetic networks (multi-locus structures) underlying the seedling CT of rice. Each network consisted of a single FGU, with high introgression as the putative regulator plus two to three groups of highly associated downstream FGUs. A bioinformatics search of rice genomic regions harboring these putative regulators identified a small set of candidate regulatory genes that are known to be involved in plant stress response.

Conclusions

Our results suggest that CT in rice is controlled by multiple pathways. Genetic complementarity between parental-derived functional alleles at many loci within a given pathway provides an appropriate explanation for the commonly observed hidden diversity and transgressive segregation of CT and other complex traits in rice.

【 授权许可】

   
2014 Zhang et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150218084908787.pdf 798KB PDF download
133KB Image download
114KB Image download
【 图 表 】

【 参考文献 】
  • [1]Andaya VC, Tai TH: Fine mapping of the qCTS12 locus, a major QTL for seedling cold tolerance in rice (Oryza sativa L.). Theor Appl Genet 2006, 113:467-475.
  • [2]Zhu DF: Bridging the rice yield gap in China. In Bridging the rice yield gap in the Aisa-pacific region. Edited by Papademetriou MK, Dent FJ, Herath EM. Bangkok: FAO Regional Office for Asia and the Pacific; 2000:69-83.
  • [3]Mackill DJ, Lei XM: Genetic variation for traits related to temperate adaptation of rice cultivars. Crop Sci 1997, 37:1340-1346.
  • [4]Li CC, Rutger JN: Inheritance of cool-temperature seedling vigor in rice and its relationship with other agronomic characters. Crop Sci 1980, 20:295-298.
  • [5]Yu SB, Xu WJ, Vijayakumar CHM, Ali J, Fu BY, Xu JL, Jiang YZ, Marghirang R, Domingo J, Aguino C, Virmani SS, Li ZK: Molecular diversity and multilocus organization of the parental lines used in the International Rice Molecular Breeding Program. Theor Appl Genet 2003, 108:131-140.
  • [6]Unkovich M: Proceedings of 14th Agronomy Conference: 21–25 September 2008; Adelaide. Gosford Australia: The Regional Institute; 2008.
  • [7]Qian Q, Zeng DL, He P, Zheng XW, Chen Y, Zhu LH: QTL analysis of the rice seedling cold tolerance in a double haploid population derived from anther culture of a hybrid between indica and japonica rice. Chin Sci Bull 2000, 45:448-453.
  • [8]Misawa S, Mori N, Takumi S, Yoshida S, Nakamura C: Mapping of QTLs for low-temperature response in seedlings of rice (Oryza sativa L.). Cereal Res Commun 2000, 28:33-40.
  • [9]Andaya VC, Mackill DJ: Mapping of QTLs associated with cold tolerance during the vegetative stage in rice. J Exp Bot 2003, 54:2579-2585.
  • [10]Han LZ, Qiao YL, Cao GL, Zhang YY, An YP, Ye JD, Koh HJ: QTLs analysis of cold tolerance during early growth period for rice. Rice Sci 2004, 11:245-250.
  • [11]Han LZ, Qiao YL, Zhang SY, Zhang YY, Cao GL, Kim J, Lee K, Koh H: Identification of quantitative trait loci for cold response of seedling vigor traits in rice. J Genet Genomics 2007, 34:239-246.
  • [12]Zhang ZH, Su L, Li W, Chen W, Zhu YG: A major QTL conferring cold tolerance at the early seedling stage using recombinant inbred lines of rice (Oryza sativa L.). Plant Sci 2005, 168:527-534.
  • [13]Lou QJ, Chen L, Sun ZX, Xing YZ, Li J, Xu XY, Mei HW, Luo LJ: A major QTL associated with cold tolerance at seedling stage in rice (Oryza sativa L.). Euphytica 2007, 158:87-94.
  • [14]Jiang L, Xun MM, Wang JK, Wan JM: QTL analysis of cold tolerance at seedling stage in rice (Oryza sativa L.) using recombination inbred lines. J Cereal Sci 2008, 48:173-179.
  • [15]Baruah AR, Ishigo-Oka N, Adachi M, Oguma Y, Tokizono Y, Onishi K, Sano Y: Cold tolerance at the early growth stage in wild and cultivated rice. Euphytica 2009, 165:459-470.
  • [16]Ji ZJ, Zeng YX, Zeng DL, Ma LY, Li XM, Liu BX, Yang CD: Identification of QTLs for rice cold tolerance at plumule and 3-leaf-seedling stages by using QTLNetwork software. Rice Sci 2010, 17:282-287.
  • [17]Iwata N, Shinada H, Kiuchi H, Sato T, Fujino K: Mapping of QTLs controlling seedling establishment using a direct seedling method in rice. Breeding Sci 2010, 60:353-360.
  • [18]Andaya VC, Tai TH: Fine mapping of the qCTS4 locus associated with seedling cold tolerance in rice (Oryza sativa L.). Mol Breed 2007, 20:349-358.
  • [19]Hospital F: Challenges for effective marker-assisted selection in plants. Genetica 2009, 136:303-310.
  • [20]Ali AJ, Xu JL, Ismail AM, Fu BY, Vijayakumar CHM, Gao YM, Domingo J, Maghirang R, Yu SB, Gregorio G, Yanaghihara S, Cohen M, Carmen B, Mackill D, Li ZK: Hidden diversity for abiotic and biotic stress tolerances in the primary gene pool of rice revealed by a large backcross breeding program. Field Crop Res 2006, 97:66-76.
  • [21]Lafitte HR, Li ZK, Vijayakumar CHM, Gao YM, Shi Y, Xu JL, Fu BY, Yu SB, Ali AJ, Domingo J, Maghirang R, Torres R, Mackill D: Improvement of rice drought tolerance through backcross breeding: Evaluation of donors and selection in drought nurseries. Field Crops Res 2006, 97:77-86.
  • [22]He YX, Zheng TQ, Hao XB, Wang LF, Gao YM, Hua ZT, Zhai HQ, Xu JL, Xu ZJ, Zhu LH, Li ZK: Yield performances of japonica introgression lines selected for drought tolerance in a BC breeding programme. Plant Breed 2010, 129:167-175.
  • [23]Meng LJ, Lin XY, Wang JM, Chen K, Cui YR, Xu JL, Li ZK: Simultaneous improvement of cold tolerance and yield of temperate japonica rice (Oryza sativa L.) by introgression breeding. Plant Breed 2013, 132:604-612.
  • [24]Wang Y, Zhang LB, Nafisah A, Zhu LH, Xu JL, Li ZK: Selection efficiencies for improving drought/salt tolerances and yield using introgression breeding in rice (Oryza sativa L.). The Crop J 2013, 1:134-142.
  • [25]Li ZK, Fu BY, Gao YM, Xu JL, Ali J, Lafitte HR, Jiang YZ, Rey JD, Vijayakumar CH, Maghirang R, Zheng TQ, Zhu LH: Gonome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L.). Plant Mol Biol 2005, 59:33-52.
  • [26]Zhang F, Zhai HQ, Paterson AH, Xu JL, Gao YM, Zheng TQ, Wu RL, Fu BY, Ali J, Li ZK: Dissecting genetic networks underlying complex phenotypes: the theoretical framework. PLoS One 2011, 6:e14541.
  • [27]SAS Institute Inc: SAS/STAT 9.1 User’s Guide. Cary: SAS Institute Inc; 2004.
  • [28]Weir BS: Genetic data analysis II: Methods for discrete population genetic data. 2nd edition. Sunderland: Sinauer Associates; 1996.
  • [29]Navabi A, Mather DE, Bernier J, Spaner DM, Atlin GN: QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analyses. Theor Appl Genet 2009, 118:347-358.
  • [30]Clegg MT, Allard RW, Kahler AL: Is the gene the unit of selection? Evidence from two experimental plant populations. Proc Natl Acad Sci U S A 1972, 69:2474-2478.
  • [31]Li ZK, Rutger JN: Geographic distribution and multilocus structure of isozyme variation in rice. Theor Appl Genet 2000, 101:379-387.
  • [32]Xiong L, Schumaker KS, Zhu JK: Cell signaling during cold, drought, and salt stress. Plant Cell 2002, 14(Suppl 1):165-183.
  • [33]Zhang Y, Chen C, Jin XF, Xiong AS, Peng RH, Hong YH, Yao QH, Chen JM: Expression of a rice DREB1 gene, OsDREB1D, enhances cold and high-salt tolerance in transgenic Arabidopsis. BMB Rep 2009, 42:486-492.
  • [34]Xiong L, Yang Y: Disease resistance and abiotic stress tolerance in rice are inversely modulated by an abscisic acid-inducible mitogen-activated protein kinase. Plant Cell 2003, 15:745-759.
  • [35]Mukhopadhyay A, Vij S, Tyagi AK: Overexpression of a zinc-finger protein gene from rice confers tolerance to cold, dehydration, and salt stress in transgenic tobacco. Proc Natl Acad Sci U S A 2004, 101:6309-6314.
  • [36]Dubouzet JG, Sakuma Y, Ito Y, Kasuga M, Dubouzet EG, Miura S, Seki M, Shinozaki K, Yamaguchi-Shinozaki K: OsDREB genes in rice, Oryza sativa L., encode transcription activators that function in drought-, high-salt- and cold-responsive gene expression. Plant J 2003, 33:751-763.
  • [37]Yadav SK: Cold stress tolerance mechanisms in plants. A review. Agron Sustain Dev 2010, 30:515-527.
  • [38]Zhang F, Huang LY, Wang WS, Zhao XQ, Zhu LH, Fu BY, Li ZK: Genome-wide gene expression profiling of introgressed indica rice alleles associated with seedling cold tolerance improvement in a japonica rice background. BMC Genomics 2012, 13:461. BioMed Central Full Text
  • [39]Dudley JW, Lambert RJ: 100 generations of selection for oil and protein in corn. In Plant breeding reviews: long-term selection: maize. Edited by Janick J. John Oxford, UK: Wiley & Sons; 2010:79-110.
  • [40]Burke MK, Dunham JP, Shahrestani P, Thomton KR, Rose MR, Long AD: Genome-wide analysis of a long-term evolution experiment with Drosophila. Nature 2010, 467:587-590.
  • [41]Li ZK, Pinson SRM, Paterson AH, Park WD, Stansel JW: Genetics of hybrid sterility and hybrid breakdown in an inter-subspecific rice (Oryza sativa L.) population. Genetics 1997, 145:1139-1148.
  • [42]Li ZK, Zheng TQ: Utilization of exotic germplasm. In Genetics and genomics of rice: crops and models. Edited by Zhang QF, Wing RA. New York: Springer Science Business Media; 2013:349-361.
  文献评价指标  
  下载次数:0次 浏览次数:3次