
Correlation between allele sizes of microsatellites and phenotypic variations in rice landraces
Yawen ZENG, Shuming YANG, Juan DU, Xiaoying PU, Hongliang ZHANG, Zichao LI, Luxiang WANG, Jiafu LIU, Fenghui XIAO
Front. Agric. China ›› 2009, Vol. 3 ›› Issue (2) : 130-139.
Correlation between allele sizes of microsatellites and phenotypic variations in rice landraces
Yunnan is one of the largest centers of genetic diversity in the world. Allele size of microsatellites associated with phenotypic traits of rice landraces in Yunnan, Southwest China, was investigated based on 20 SSR markers and 23 phenotypic traits, as well as eight mineral elements in brown rice within the core collection of 629 accessions; and there was a significant correlation for 182 (r = 0.083*-0.438**) of 620 pairs among these markers and traits, as well as elements. Surprisingly, there was a significant correlation for 94 of 180 pairs between the allele size of microsatellites and grain traits, and 48 of 160 pairs between allele size of microsatellites and panicle traits. In these rice landraces, 309 alleles were detected, with an average of 15.5 alleles per marker, ranging from 5 (RM60) to 40 (RM257). There was a significant correlation between the allele size of 20 SSR markers and some phenotypic traits, such as the significant correlation of 17 (r = -0.085*--0.438**) pairs between the allele size of RM224 and 23 phenotypic traits, as well as eight elements. The allele size of microsatellites was more associated with grain or panicle traits than that of plant traits or element contents in brown rice. Grain length/width ratio and 1-2 internode length, as indica-japonica classification traits, in which two traits were closely associated with the allele size of 14 SSR markers ranging from 0.089* to -0.438**. Therefore, allele size of SSRs was associated with phenotypic traits (especially in grain traits), as well as elemental contents in brown rice.
allele size of microsatellite / phenotypic traits / mineral elements / correlation / rice landraces
[1] |
Abdelkhalik A F, Shishido R, Nomura K, Ikehashi H (2005). QTL-based analysis of heterosis for grain shape traits and seedling characteristics in an indica-japonica hybrid in rice (Oryza sativa L.). Breeding Science, 55(1): 41-48
CrossRef
Google scholar
|
[2] |
Andersen J R, Lübberstedt T (2003). Functional markers in plants. Trends in Plant Science, 8(11): 554-560
CrossRef
Google scholar
|
[3] |
Bassam B J, Caetano-Anolles G, Gresshoff P M (1991). Fast and sensitive silver staining of DNA in polyacrylamide gels. Analytical Biochemistry, 196(1):80-83
CrossRef
Google scholar
|
[4] |
Chang T T (1976). The origin, evolution, cultivation, dissemination and diversification of Asian and African rices. Euphytica, 25(1): 425-441
CrossRef
Google scholar
|
[5] |
Cui K H, Peng S B, Ying Y Z, Yu S B, Xu C G (2004). Molecular dissection of the relationships among tiller number, plant height and heading date in rice. Plant Production Science, 7(3): 309-318
CrossRef
Google scholar
|
[6] |
Doyle J J, Doyle J L (1990). Isolation of plant DNA from fresh tissue. Focus, 12(1): 13-15
|
[7] |
Duan Y L, Li W M, Wu W R, Pan R S, Zhou Y C, Qi J M, Lin L H, Chen Z W, Mao D M, Liu H Q, Zhang D F, Xue Y B (2003). Genetic analysis and mapping of gene fzp(t) controlling spikelet differentiation in rice. Science in China (Series C), 46(4): 328-334
|
[8] |
Gao L Z, Ge S, Hong D Y, Lin R S, Tao G D, Xu Z F (2002). Allozyme variation and conservation genetics of common wild rice (Oryza rufipogon Griff.) in Yunnan, China. Euphytica, 124(4): 273-281
CrossRef
Google scholar
|
[9] |
Jiang H, Guo L B, Qian Q (2007). Recent progress on rice genetics in China. Journal of Integrative Plant Biology, 49(6): 776-790
CrossRef
Google scholar
|
[10] |
Jing R C, Li X M, Yi P, Zhu Y G (2001). Mapping fertility-restoring genes of rice WA cytoplasmic male sterility using SSLP markers. Botanical Bulletin of Academia Sinica, 42(3): 167-171
|
[11] |
Lawson M J, Zhang L Q (2006). Distinct patterns of SSR distribution in the Arabidopsis thaliana and comment rice genomes. Genome Biology, 7(2): R14
CrossRef
Google scholar
|
[12] |
Li Y C, Korol A B, Fahima T, Nevo E (2004). Microsatellites within genes: structure, function and evolution. Molecular Biology and Evolution, 21(6): 991-1007
CrossRef
Google scholar
|
[13] |
Liang F S, Deng Q Y, Wang Y Q, Xiong Y D, Jin D M, Li J M, Wang B (2004). Molecular marker-assisted selection for yield-enhancing genes in the progeny of “9311×O. rufipogon” using SSR. Euphytica, 139(2): 159-165
CrossRef
Google scholar
|
[14] |
Linh L H, Jin F X, Kang K H, Lee Y T, Kwon S J, Ahn S N (2006). Mapping quantitative trait loci for heading date and awn length using an advanced backcross line from a cross between Oryza sativa and O. minuta. Breeding Science, 56(4): 341-349
CrossRef
Google scholar
|
[15] |
Ma J F, Tamai K, Yamaji N, Mitani N, Konishi S, Katsuhara M, Murata Y, Yano M, Ishiguro M (2006). A silicon transporter in rice. Nature, 440(30): 688-691
CrossRef
Google scholar
|
[16] |
McCouch S R, Teytelman L, Xu Y, Lobos K B, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q F, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002). Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Research, 9(6): 199-207
CrossRef
Google scholar
|
[17] |
Miyata M, Yamamoto T, Komori T, Nitta N (2007). Marker-assisted selection and evaluation of the QTL for stigma exsertion under japonica rice genetic background. Theoretical and Applied Genetics, 114(3): 539-548
CrossRef
Google scholar
|
[18] |
Panaud O, Chen X, McCouch S R (1996). Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Molecular General Genetics, 252(5): 597-607
|
[19] |
Pradeep R M, Sarla N, Laminaratana V R, Siddiq E A (2005). Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon. BMC genetics, 6: 33
|
[20] |
Ramakrishna W, Davierwala A P, Gupta V S, Ranjekar P K (1998). Expansion of a (GA) dinucleotide at a microsatellite locus associated with domestication in rice. Biochemical Genetics, 36(9-10): 323-327
CrossRef
Google scholar
|
[21] |
Septiningsih E M, Trijatmiko K R, Moeljopawiro S, McCouch S R (2003). Identification of quantitative trait loci for grain quality in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theoretical and Applied Genetics, 107(8): 1433-1441
CrossRef
Google scholar
|
[22] |
Shen Y J, Jiang H, Jin J P, Zhang Z B, Xi B, He Y Y, Wang G, Wang C, Qian L, Li X, Yu Q B, Liu H J, Chen D H, Gao J H, Huang H, Shi T L, Yang Z N (2004). Development of genome-wide DNA polymorphism database for map-based cloning of rice genes. Plant Physiology, 135(3): 1198-1205
CrossRef
Google scholar
|
[23] |
Tan L B, Liu F X, Xue W, Wang G J, Ye S, Zhu Z F, Fu Y C, Wang X K, Sun C Q (2007). Development of Oryza rufipogon and O. sativa introgression lines and assessment for yield-related quantitative trait loci. Journal of Integrative Plant Biology, 49(6): 871-884
CrossRef
Google scholar
|
[24] |
Thomson M J, Tai T H, McClung A M, Lai X H, Hinga M E, Lobos K B, Xu Y, Martinez C P, McCouch S R (2003). Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theoretical and Applied Genetics, 107(3): 479-493
CrossRef
Google scholar
|
[25] |
Xiao J, Grandillo S, Ahn S A, McCouch S R, Tanksley S D, Li J, Yuan L (1996). Genes from wild rice improve yield. Nature, 384: 223-224
CrossRef
Google scholar
|
[26] |
Xu J L, Yu S B, Luo L J, Zhong D B, Mei H W, Li Z K (2004). Molecular dissection of the primary sink size and its related traits in rice. Plant Breeding, 123(1): 43-50
CrossRef
Google scholar
|
[27] |
Xue W Y, Xing Y Z, Weng X Y, Zhao Y, Tang W J, Wang L, Zhou H J, Yu S B, Xu C G, Li X H, Zhang Q F (2008). Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nature Genetics, 40: 761-767
CrossRef
Google scholar
|
[28] |
Yoshida S, Ikegami M, Kuze J, Sawada K, Hashimoto Z, Ishii T, Nakamura C, Kamijima O (2002). QTL analysis for plant and grain characters of sake-brewing rice using a doubled haploid population. Breeding Science, 52(4): 309-317
CrossRef
Google scholar
|
[29] |
Zeng Y W, Liu J F, Wang L X, Du J, Pu X Y, Yang S M, Zhang H L (2006). Ecogeographic difference and variation pattern of mineral contents for Yunnan rice landraces. Acta Agronomica Sinica, 32(8): 1166-1173
|
[30] |
Zeng Y W, Shen S Q, Li Z C, Yang Z Y, Wang X K, Zhang H L, Wen G S (2003). Ecogeographic and genetic diversity based on morphological characters of indigenous rice (Oryza sativa L.) in Yunnan, China. Genetic Resources and Crop Evolution, 50(6): 566-577
|
[31] |
Zeng Y W, Shen S Q, Wang L X, Liu J F, Pu X Y, Du J, Gui M (2005). Correlation of plant morphological and grain quality traits with mineral element contents in Yunnan rice. Rice Science, 12(2): 101-106
|
[32] |
Zeng Y W, Wang L X, Sun Z H, Yang S M, Du J, Li Q W, Pu X Y, Du W, Xiao F H (2008). Determination of mineral elements of brown rice in near-isogenic lines poputation for japonica rice by ICP-AES. Spectroscopy and Spectral Analysis, 28(12): 2966-2969 (in Chinese)
|
[33] |
Zeng Y W, Xu F R, Shen S Q, Deng J Y (2000). Correlation of indica-japonica classification and morphological character of Yunnan nuda rice cultivars. Chinese Journal of Rice Science, 14(2): 115-118 (in Chinese)
|
[34] |
Zeng Y W, Zhang H L, Li Z C, Shen S Q, Sun J L, Wang M X, Liao D Q, Liu X, Wang X K, Xiao F H, Wen G S (2007). Evaluation of genetic diversity in the rice landraces (Oryza sativa L.) in Yunnan, China. Breeding Science, 57(2): 91-99
CrossRef
Google scholar
|
[35] |
Zhang H L, Sun J L, Wang M X, Liao D Q, Zeng Y W, Shen S Q, Yu P, Mu P, Wang X K, Li Z C (2006). Genetic structure and phylogeography of rice landraces in Yunnan, China, revealed by SSR. Genome, 50(1): 72-83
CrossRef
Google scholar
|
/
〈 |
|
〉 |