Please wait a minute...
Journal of Integrative Agriculture  2012, Vol. 12 Issue (10): 1567-1573    DOI: 10.1016/S1671-2927(00)8689
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Genetic Diversity and Structure of New Inbred Rice Cultivars in China
 XU Qun, CHEN Hong, WANG Cai-hong, YU Han-yong, YUAN Xiao-ping, WANG Yi-ping, FENG Yue, TANG Sheng-xiang, WEI Xing-hua
1 State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, P.R.China
2.Development Center for Science and Technology, Ministry of Agriculture, Beijing 100122, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  A total of 408 inbred rice cultivars bred in the last decade were analyzed for 24 SSR markers. The results showed the genetic diversity of indica cultivars was higher than that of japonica cultivars, and the genetic diversity of new cultivars raised in recent years was lower. Among the six rice cropping regions (RCRs) in China, genetic diversity was the highest in the central rice region (RCR-II) and the southwest rice region (RCR-III). Genetic differences among subpopulations of japonica were more complex than those in indica. Differentiation among seasonal ecotypes and RCRs in indica populations was unclear, but differentiation between RCR-II and northeast rice region (RCR-V) was more distinct for japonica cultivars. Considering the North rice region (RCR-IV) has very low genetic diversity among the tested cultivars, it is important to broaden the genetic background for future cultivars in rice breeding programs.

Abstract  A total of 408 inbred rice cultivars bred in the last decade were analyzed for 24 SSR markers. The results showed the genetic diversity of indica cultivars was higher than that of japonica cultivars, and the genetic diversity of new cultivars raised in recent years was lower. Among the six rice cropping regions (RCRs) in China, genetic diversity was the highest in the central rice region (RCR-II) and the southwest rice region (RCR-III). Genetic differences among subpopulations of japonica were more complex than those in indica. Differentiation among seasonal ecotypes and RCRs in indica populations was unclear, but differentiation between RCR-II and northeast rice region (RCR-V) was more distinct for japonica cultivars. Considering the North rice region (RCR-IV) has very low genetic diversity among the tested cultivars, it is important to broaden the genetic background for future cultivars in rice breeding programs.
Keywords:  rice       Oryza sativa       cultivars       genetic diversity  
Received: 12 May 2011   Accepted:
Fund: 

This work was supported by the Basic Research for Science and Technology of the Ministry of Sciecne and Technology, China (2008FY220200).

Corresponding Authors:  Correspondence WEI Xing-hua, Tel: +86-571-63370366, E-mail: xwei@mail.hz.zj.cn     E-mail:  xwei@mail.hz.zj.cn
About author:  XU Qun, Tel: +86-571-63370583, E-mail: xuqun37@hotmail.com

Cite this article: 

XU Qun, CHEN Hong, WANG Cai-hong, YU Han-yong, YUAN Xiao-ping, WANG Yi-ping, FENG Yue, TANG Sheng-xiang, WEI Xing-hua. 2012. Genetic Diversity and Structure of New Inbred Rice Cultivars in China. Journal of Integrative Agriculture, 12(10): 1567-1573.

[1]Backes G, Hatz B, Jahoor A, Fischbeck G. 2003. RFLPdiversity within and between major groups of barley inEurope. Plant Breeding, 122, 291-299.

[2]China National Rice Research Inst i tute. 1989.Regionalization of Rice Cropping in China. ZhejiangScience and Technology Press, China. pp. 1-47. (in Chinese)

[3]Cheng S H, Zhuang J Y, Fan Y Y, Du J H, Cao L Y. 2007.Progress in research and development on hybrid rice: asuper-domesticate in China. Annals of Botany, 100, 959-966.

[4]Clerc V L, Bazante F, Baril C, Guiard J, Zhang D. 2005.Assessing temporal changes in genetic diversity ofmaize varieties using microsatellite markers. Theoreticaland Applied Genetics, 110, 294-302.

[5]Excoffier L, Laval LG, Schneider S. 2005. Arlequin (version3.0): an integrated software package for populationgenetics data analysis. Evolutionary BioinformaticsOnline, 1, 47-50.

[6]Falush D, Stephens M, Pritchard J K. 2003. Inference ofpopulation structure using multilocus genotype data:Linked loci and correlated allele frequencies. Genetics,164, 1567-1587.

[7]Fu Y B, Peterson G W, Scoles G, Rossnagel B, Schoen D J,Richards K W. 2003. Allelic diversity changes in 96Canadian oat cultivars released from 1886 to 2001. CropScience, 43, 1989-1995.

[8]Garris A J, Tai T H, Coburn J, Kresovich S, McCouch S.2005. Genetic structure and diversity in Oryza sativa L.Genetics, 169, 1631-1638.

[9]Goudet J. 2002. FSTAT, a program to estimate and testgene diversities and fixation indices (ver. 2.9.3.2). [2012-12-13]. http://www2.unil.ch/popgen/softwares/fstat.htmLiu

[10]K, Muse S V. 2005. PowerMarker: an integrated analysisenvi ronment for gene t i c marker ana lys i s .Bioinformatics, 21, 2128-2129.

[11]Pritchard J K, Stephens M, Donnelly P. 2000. Inference ofpopulation structure using multilocus genotype data.Genetics, 155, 945-959.

[12]Qi YW, Zhang D L, Zhang H L, Wang M X, Sun J L, Wei XH, Qiu Z E, Tang S X, Cao Y S, Wang X K, et al. 2006.Genetic diversity of rice cultivars (Oryza sativa L.) inChina and the temporal trends in recent fifty years.Chinese Science Bulletin, 51, 681-688.

[13]Roussel V, Leisova L, Exbrayat F, Stehno Z, Balfourier F.2005. SSR allelic diversity changes in 480 Europeanbread wheat varieties released from 1840 to 2000.Theoretical and Applied Genetics, 111, 162-170.

[14]Shi Y F, Yin J Z, Wang L, Zhu Z W, Zhuang J Y. 2005.Screening SSR markers for rice variety identification.Chinese Journal of Rice Science, 19, 195-201. (in Chinese)

[15]Sokal R R, Rohlf F J. 1995. Biometry: the Priniciples andPractice of Statistics in Biological Research. 3rd ed.Freeman, New York.Ting Y. 1957. The origin and evolution of cultivated rice inChina. Acta Agronomica Sinica, 8, 243-260. (in Chinese)

[16]Wei X H, Yuan X P, Yu H Y, Wang Y P, Xu Q, Tang S X.2009. Temporal changes in SSR allelic diversity of majorrice cultivars in China. Journal of Genetics andGenomics, 36, 363-370.

[17]Yang G P, Maroof M A S, Zhang Q F, Qin C H, Lou Z X.1998. Genetic diversity of rice detected by a multiplecopy microsatellite DNA marker. Hereditas, 20, 27-30.(in Chinese)

[18]Zhang H L, Sun J L, Wang M X, Liao D Q, Zeng YW, ShenS Q, Yu P, Mu P, Wang X K, Li Z C. 2007. Geneticstructure and phylogeography of rice landraces inYunnan, China, revealed by SSR. Genome, 50, 72-83.

[19]Zhang X L, Guo H, Wang H G, Lv J Z, Yuan X P, Peng S T,Wei X H. 2008. Comparative assessment of ssr allelicdiversity in wild and cultivated rice in China. ActaAgronomica Sinica, 34, 591-597. (in Chinese)

[20]Zheng K L, Huang N, Bennett J, Khush G S. 1995. PCRbasedmarker-assisted selection in rice breeding. In:IRRI Discussion Paper Series, No. 12. InternationalRice Research Institute, Manila.

[21]Zhuang J Y, Qian H R, Lu J, Lin H X, Zheng K L. 1996. Preresearchon the genetic and variance of indica cultivar.Scientia Agricultura Sinica, 29, 17-22. (in Chinese)
[1] WANG Meng-qi, ZHANG Hong-rui, XI Yu-qiang, WANG Gao-ping, ZHAO Man, ZHANG Li-juan, GUO Xian-ru. Population genetic variation and historical dynamics of the natural enemy insect Propylea japonica (Coleoptera: Coccinellidae) in China[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2456-2469.
[2] WANG Kang-xu , ZHANG Ke-rou, CAO Cou-gui, JIANG Yang. Effect of Bt traits on transgenic rice’s growth and weed competitiveness[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2346-2358.
[3] ZHAO Jun-yang, LU Hua-ming, QIN Shu-tao, PAN Peng, TANG Shi-de, CHEN Li-hong, WANG Xue-li, TANG Fang-yu, TAN Zheng-long, WEN Rong-hui, HE Bing. Soil conditioners improve Cd-contaminated farmland soil microbial communities to inhibit Cd accumulation in rice[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2521-2535.
[4] GAO Peng, ZHANG Tuo, LEI Xing-yu, CUI Xin-wei, LU Yao-xiong, FAN Peng-fei, LONG Shi-ping, HUANG Jing, GAO Ju-sheng, ZHANG Zhen-hua, ZHANG Hui-min. Improvement of soil fertility and rice yield after long-term application of cow manure combined with inorganic fertilizers[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2221-2232.
[5] SHI Shi-jie, ZHANG Gao-yu, CAO Cou-gui, JIANG Yang . Untargeted UHPLC–Q-Exactive-MS-based metabolomics reveals associations between pre- and post-cooked metabolites and the taste quality of geographical indication rice and regular rice[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2271-2281.
[6] CHEN Guang-yi, PENG Li-gong, LI Cong-mei, TU Yun-biao, LAN Yan, WU Chao-yue, DUAN Qiang, ZHANG Qiu-qiu, YANG Hong, LI Tian. Effects of the potassium application rate on lipid synthesis and eating quality of two rice cultivars[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2025-2040.
[7] WEI Huan-he, GE Jia-lin, ZHANG Xu-bin, ZHU Wang, DENG Fei, REN Wan-jun, CHEN Ying-long, MENG Tian-yao, DAI Qi-gen. Decreased panicle N application alleviates the negative effects of shading on rice grain yield and grain quality[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2041-2053.
[8] WANG Jie, LEI Qiu-xia, CAO Ding-guo, ZHOU Yan, HAN Hai-xia, LIU Wei, LI Da-peng, LI Fu-wei, LIU Jie. Whole genome SNPs among 8 chicken breeds enable identification of genetic signatures that underlie breed features[J]. >Journal of Integrative Agriculture, 2023, 22(7): 2200-2212.
[9] LIU Yu, LIU Wen-wen, LI Li, Frederic FRANCIS, WANG Xi-feng. Transcriptome analysis reveals different response of resistant and susceptible rice varieties to rice stripe virus infection[J]. >Journal of Integrative Agriculture, 2023, 22(6): 1750-1762.
[10] DU Xiang-bei, XI Min, WEI Zhi, CHEN Xiao-fei, WU Wen-ge, KONG Ling-cong. Raised bed planting promotes grain number per spike in wheat grown after rice by improving spike differentiation and enhancing photosynthetic capacity[J]. >Journal of Integrative Agriculture, 2023, 22(6): 1631-1644.
[11] WU Xian-xin, ZANG Chao-qun, ZHANG Ya-zhao, XU Yi-wei, WANG Shu, LI Tian-ya, GAO Li.

Characterization of wheat monogenic lines with known Sr genes and wheat cultivars for resistance to three new races of Puccinia graminis f. sp. tritici in China [J]. >Journal of Integrative Agriculture, 2023, 22(6): 1740-1749.

[12] LI Min, ZHU Da-wei, JIANG Ming-jin, LUO De-qiang, JIANG Xue-hai, JI Guang-mei, LI Li-jiang, ZHOU Wei-jia. Dry matter production and panicle characteristics of high yield and good taste indica hybrid rice varieties[J]. >Journal of Integrative Agriculture, 2023, 22(5): 1338-1350.
[13] ZHANG Zi-han, NIE Jun, LIANG Hai, WEI Cui-lan, WANG Yun, LIAO Yu-lin, LU Yan-hong, ZHOU Guo-peng, GAO Song-juan, CAO Wei-dong. The effects of co-utilizing green manure and rice straw on soil aggregates and soil carbon stability in a paddy soil in southern China[J]. >Journal of Integrative Agriculture, 2023, 22(5): 1529-1545.
[14] CHEN Chang-zhao, WANG Ya-Liang, HE Meng-xing, LI Zhi-wen, SHEN Lan, LI Qing, RE De-yong, HU Jiang, ZHU Li, ZHANG Guang-heng, GAO Zhen-yu, ZENG Da-li, GUO Long-biao, QIAN Qian, ZHANG Qiang. OsPPR9 encodes a DYW-type PPR protein that affects editing efficiency of multiple RNA editing sites and is essential for chloroplast development[J]. >Journal of Integrative Agriculture, 2023, 22(4): 972-980.
[15] WANG Xin-yu, YANG Guo-dong, XU Le, XIANG Hong-shun, YANG Chen, WANG Fei, PENG Shao-bing. Grain yield and nitrogen use efficiency of an ultrashort-duration variety grown under different nitrogen and seeding rates in direct-seeded and double-season rice in Central China[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1009-1020.
No Suggested Reading articles found!