Association Analysis of Saline-alkali Related Traits and SSR Markers in Japonica Rice under Soda Saline-alkali Stress

doi:10.7668/hbnxb.2018.02.020

Abstract

Abstract: In order to identify the elite allelic variation of salt-and-alkali-tolerance traits that affect the budding stage of Japonica rice and the related carriers for the improvement of saline-alkali potential of cultivars,the natural group consists of 176 Japonica rice from different geographical origins was used for research materials. For direct seeding of rice planting methods,the medium soda salt alkaline soil in Daqing Area of Heilongjiang Province was used for bud stress treatment. The shoot Na⁺ concentration(SNC),shoot K⁺ concentration(SKC),shoot Na⁺/K⁺(SNK) of 13 d and 18 d,and salinization damage grade(SDG) of 18 d from the aboveground part of the budding stage were identified,which were related to the saline-alkaline tolerance of Japonica rice. At the same time,154 SSR marker genotypes of 176 cultivars were identified,STRUCTURE 2.2 software was used to analyze the population structure and linkage disequilibrium,the correlation analysis between the marker and the trait was carried out by the general linear model(GLM) and the mixed linear model(MLM) of TASSEL 3.0 software,and the superior mutation and related vector materials. The results showed that the natural population was divided into three subgroups,and each subgroup had different degrees of linkage disequilibrium. In the process of correlation analysis,a total of 13 locis was found that was significantly associated with salt-alkaline resistance in Japonica rice at the bud stage,of which 8 locis were detected simultaneously under the two model conditions of TASSEL 3.0 software further identification at 8 locis resulted in 24 excellent allelic variations. By comparing the maps,it was found that among the eight sites simultaneously found to be significantly associated with salinity-tolerance traits,seven were previously reported sites under the two model conditions,whereas RM1219 was not found in previous studies. Reported that there was a significant correlation between RM1219 and three salt-tolerant traits,which may be a new site associated with salt-alkaline resistance in Japonica rice at the budding stage.

Key words: Japonica rice, Saline-alkaline tolerance, Association analysis, Budding stage

CLC Number:

Q37
S511.03

LI Xianwei, ZHENG Hongliang, ZHAO Hongwei, WANG Jingguo, LIU Hualong, SUN Jian, LI Ning, LEI Lei, ZOU Detang. Association Analysis of Saline-alkali Related Traits and SSR Markers in Japonica Rice under Soda Saline-alkali Stress[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2018, 33(2): 139-148. doi: 10.7668/hbnxb.2018.02.020.

/ / Recommend / Download Citations

URL: http://www.hbnxb.net/EN/10.7668/hbnxb.2018.02.020

http://www.hbnxb.net/EN/Y2018/V33/I2/139

References

[1] 安艳丽.水稻品种优选与田间管理[J].吉林农业,2017(12):48.
[2] 魏新彩.基于HJ卫星影像的水稻种植面积遥感信息提取方法研究[D].武汉:湖北大学,2013.
[3] 梁银培,孙健,索艺宁,等.水稻耐盐性和耐碱性相关性状的QTL定位及环境互作分析[J].中国农业科学,2017,50(10):1747-1762.
[4] 于连鹏.黑龙江省主栽水稻品种Pita,Pia和Piz-t抗瘟基因检测和抗性评价[D].大庆:黑龙江八一农垦大学,2017.
[5] 蔡永盛.黑龙江盐碱地条件下不同产量类型水稻产量品质的比较研究[D].大庆:黑龙江八一农垦大学,2015.
[6] Famoso A N,Zhao K Y,Clark R T,et al.Genetic architecture of aluminum tolerance in rice (Oryza sativa) determined through Genome-Wide association analysis and QTL mapping[J].PLoS Genetics,2011,7(8):747-757.
[7] Zheng H L,Liu B W,Zhao H W,et al.Identification of QTLs for salt tolerance at the germination and early seedling stage using linkage and association analysis in japonica rice[J].Chinese Journal of Rice Science,2014,28(4):358-366.
[8] 王树国,张纪明.水稻直播种植技术要点[J].农业与技术,2013(9):111-111.
[9] 付有权.直播稻栽培技术探讨[J].经济技术协作信息,2014(14):79.
[10] 程海涛,苏展,曹萍,等.NaCl和Na₂CO₃胁迫对水稻籼粳杂交后代群体发芽与幼苗生育的影响[J].沈阳农业大学学报,2010,41(1):73-77.
[11] Remington D L,Thornsberry J M,Matsuoka Y,et al.Structure of linkage disequilibrium and phenotypic associations in the maize genome[J].Proceedings of the National Academy of Sciences of the United States of America,2001,98(20):11479-11484.
[12] Weng J F,Xie C X,Hao Z F,et al.Genome-Wide association study identifies candidate genes that affect plant height in Chinese elite maize (Zea mays L.) inbred lines[J].PLoS One,2011,6(12):e29229.
[13] Li Y,Huang Y,Bergelson J,et al.Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana[J].Proceedings of the National Academy of Sciences of the United States of America,2010,107(49):21199-21204.
[14] Huang X,Wei X,Sang T,et al.Genome-wide association studies of 14 agronomic traits in rice landraces[J].Nature Genetics,2010,42(11):961-967.
[15] Niu Y,Xu Y,Liu X F,et al.Association mapping for seed size and shape traits in soybean cultivars[J].Molecular Breeding,2013,31(4):785-794.
[16] 吴德志.西藏野生大麦耐盐种质的发掘及其耐盐机制研究[D].杭州:浙江大学,2012.
[17] 印志同,杨庆华,倪正斌,等.糯玉米芽苗期耐盐性鉴定及相关分子标记筛选[J].江苏农业学报,2012,28(2):278-283.
[18] 王建飞,陈宏友,杨庆利,等.盐胁迫浓度和胁迫时的温度对水稻耐盐性的影响[J].中国水稻科学,2004,18(5):75-80.
[19] Doyle J.Isolation of plant DNA from fresh tissue[J].Focus,1991,12:13-15.
[20] 郑洪亮,刘博文,赵宏伟,等.利用连锁和关联分析定位粳稻芽期及幼苗前期耐盐性QTL[J].中国水稻科学,2014,28(4):358-366.
[21] 邢军,常汇琳,王敬国,等.盐,碱胁迫条件下粳稻Na⁺,K⁺浓度的QTL分析[J].中国农业科学,2015,48(3):604-612.
[22] Evanno G,Regnaut S,Goudet J.Detecting the number of clusters of individuals using the software STRUCTURE:a simulation study[J].Molecular Ecology,2005,14(8):2611-2620.
[23] Bradbury P J,Zhang Z,Kroon D E,et al.TASSEL:software for association mapping of complex traits in diverse samples[J].Bioinformatics,2007,23(19):2633-2635.
[24] Zhang T,Qian N,Zhu X,et al.Variations and transmission of QTL alleles for yield and fiber qualities in upland cotton cultivars developed in China[J].PLoS One,2013,8(2):e57220.
[25] 聂新辉,尤春源,鲍健,等.基于关联分析的新陆早棉花品种农艺和纤维品质性状优异等位基因挖掘[J].中国农业科学,2015,48(15):2891-2910.
[26] Liang J L,Qu Y P,Yang C G,et al.Identification of QTLs associated with salt or alkaline tolerance at the seedling stage in rice under salt or alkaline stress[J].Euphytica,2015,201(3):441-452.
[27] Zang J,Sun Y,Wang Y,et al.Dissection of genetic overlap of salt tolerance QTLs at the seedling and tillering stages using backcross introgression lines in rice[J].Science in China Series C,2008,51(7):583-591.
[28] Wang Z F,Wang J F,Bao Y M,et al.Quantitative trait loci analysis for rice seed vigor during the germination stage[J].Journal of Zhejiang University Science B,2010,11(12):958-964.
[29] Cui D,Wu D,Somarathna Y,et al.QTL mapping for salt tolerance based on snp markers at the seedling stage in maize (Zea mays L.)[J].Euphytica,2015,203(2):273-283.
[30] Cheng L R,Wang Y,Meng L J,et al.Identification of salt-tolerant QTLs with strong genetic background effect using two sets of reciprocal introgression lines in rice[J].Genome,2012,55(1):45-55.
[31] Cho Y G,Eun M Y,Mccouch S R,et al.The semidwarf gene,sd-1,of rice (Oryza sativa L.).Ⅱ.Molecular mapping and marker-assisted selection[J].Theoretical&Applied Genetics,1994,89(1):54-59
[32] Bimpong I K,Manneh B,Diop B,et al.New quantitative trait loci for enhancing adaptation to salinity in rice from Hasawi,a Saudi landrace into three African cultivars at the reproductive stage[J].Euphytica,2014,200(1):45-60.
[33] 董海娇.基于全基因组关联分析的水稻分蘖角度和剑叶夹角的遗传基础解析[D].武汉:华中农业大学,2017.
[34] 潘世驹.寒地水稻耐盐碱资源筛选及产量品质稳定性研究[D].大庆:黑龙江八一农垦大学,2016.
[35] 李宁.水稻苗期耐碱QTL分析[D].哈尔滨:东北农业大学,2016.
[36] Zheng T Q,Yang J,Zhong W G,et al.Novel loci for field resistance to black-streaked dwarf and stripe viruses identified in a set of reciprocal introgression lines of rice (Oryza sativa L.)[J].Molecular Breeding,2012,29(4,SI):925-938.

Please choose a citation manager

Content to export