Influence of Epistasis and QTL × Environment Interaction on Heading Date of Rice (Oryza sativa L.)

Guifu Liu; Jian Yang; Haiming Xu; Jun Zhu

doi:10.1016/S1673-8527(07)60069-1

Volume 34 Issue 7

Jul. 2007

Turn off MathJax

Article Contents

Article Navigation > Journal of Genetics and Genomics > 2007 > 34(7): 608-615

PDF( 595 KB)

Influence of Epistasis and QTL × Environment Interaction on Heading Date of Rice (Oryza sativa L.)

doi: 10.1016/S1673-8527(07)60069-1

a
Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310029, China
b
College of Agriculture, South China Agricultural University, Guangzhou 510642, China

More Information

Corresponding author: E-mail address: jzhu@zju.edu.cn (Jun Zhu)
Received Date: 2006-11-01
Accepted Date: 2006-11-20

Available Online: 2007-07-20

Publish Date: 2007-07-20

Abstract

Abstract

QTLs for heading date of rice (Oryza sativa L.) with additive, epistatic, and QTL × environment (QE) interaction effects were studied using a mixed-model-based composite interval mapping (MCIM) method and a double haploid (DH) population derived from IR64/Azucena in two crop seasons. Fourteen QTLs conferring heading date in rice, which were distributed on ten chromosomes except for chromosomes 5 and 9, were detected. Among these QTLs, eight had single-locus effects, five pairs had double-locus interaction effects, and two single-loci and one pair of double-loci showed QTL × environment interaction effects. All predicted values of QTL effects varied from 1.179 days to 2.549 days, with corresponding contribution ratios of 1.04%?4.84%. On the basis of the effects of the QTLs, the total genetic effects on rice heading date for the two parents and the two superior lines were predicted, and the putative reasons for discrepancies between predicted values and observed values, and the genetic potentiality in the DH population for improvement of heading date were discussed. These results are in agreement with previous results for heading date in rice, and the results provide further information, which indicate that both epistasis and QE interaction are important genetic basis for determining heading date in rice.
- quantitative trait locus (QTL),
- epistasis,
- QTL × environment interaction,
- heading date

FullText(HTML)

References(28)

References

[1]	Yamagata, H, Okumoto, et al.
[2]	Poonyarit, M, Mackill, et al. Genetics of photoperiod sensitivity and critical daylength in rice Crop Sci, 29 (1989),pp. 647-652
[3]	Yano, M, Harushima, et al. Identification of quantitative trait loci controlling heading date in rice using a high–density linkage map Theor Appl Genet, 95 (1997),pp. 1025-1032
[4]	Lin, HX, Yamamoto, et al. Theor Appl Genet, 101 (2000),pp. 1021-1028
[5]	Lin, HX, Liang, et al. Breed Sci, 53 (2003),pp. 51-59
[6]	Yuan, AP, Cao, et al. Acta Genet Sin, 30 (2003),pp. 899-906
[7]	Lark, KG, Chase, et al. Interactions between quantitative trait loci in soybean in which trait variation at one locus is conditional upon a specific allele at another Proc Natl Acad Sci USA, 92 (1995),pp. 4656-4660
[8]	Cockerham, CC, Zeng, et al. Design with marker loci Genetics, 143 (1996),pp. 1437-1456
[9]	Li, ZK, Pinson, et al. Genetics, 145 (1997),pp. 453-465
[10]	Yu, SB, Li, et al. Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice Theor Appl Genet, 104 (2002),pp. 619-625
[11]	Paterson, AH, Damon, et al. Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments Genetics, 127 (1991),pp. 181-197
[12]	Lu, CL, Shen, et al. Comparative mapping of QTLs for agronomy traits of rice across environments using a doubled–haploid population Theor Appl Genet, 93 (1996),pp. 1211-1217
[13]	Liu, PY, Zhu, et al. Impacts of QTL × environment interactions on genetic response to marker-assisted selection Acta Genetica Sinica, 33 (2006),pp. 63-71
[14]	Li, ZK, Yu, et al. QTL × environment interactions in rice. I. Heading date and plant height Theor Appl Genet, 108 (2003),pp. 141-153
[15]	Lander, ES, Botstein, et al. Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps Genetics, 121 (1989),pp. 185-199
[16]	Jansen, RC Interval mapping of multiple quantitative trait loci Genetics, 135 (1993),pp. 205-211
[17]	Holland, JB EPISTACY: A SAS program for detecting two locus epistatic interactions using genetic marker information J Hered, 89 (1998),pp. 374-375
[18]	Yano, M, Kojima, et al. Genetic control of flowering time in rice, a short–day plant Plant Physiol, 127 (2001),pp. 1425-1429
[19]	Wang, DL, Zhu, et al. Mapping QTLs with epistatic effects and QTL × environment interactions Theor Appl Genet, 99 (1999),pp. 1255-1264
[20]	Jansen, RC, Van, et al. Genotype by environment interaction in genetic mapping of multiple quantitative trait loci Theor Appl Genet, 91 (1995),pp. 33-37
[21]	Zhu, J Mixed model approaches of mapping genes for complex quantitative traits Journal of Zhejiang University (Natural Science), 33 (1999),pp. 327-335
[22]	Li, ZK, Luo, et al. Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. I. Biomass and grain yield Genetics, 158 (2001),pp. 1737-1753
[23]	Zhang, ZH, Li, et al. Genetic dissection of the relationships of biomass production and partitioning with yield and yield related traits in rice Plant Sci, 167 (2004),pp. 1-8
[24]	Liu, GF, Yang, et al. Acta Genet Sin, 33 (2006),pp. 607-616
[25]	Huang, N, McCouch, et al. Development of an RFLP map from a doubled haploid population in rice Rice Genet Newslett, 11 (1994),pp. 134-137
[26]	Huang, N, Parco, et al. RFLP mapping of isozymes, RAPDs and QTLs for grain shape and brown plant hopper resistance in a doubled–haploid rice population Mol Breed, 3 (1997),pp. 105-113
[27]	Wang, DL, Zhu, et al.
[28]	Cao, GQ, Zhu, et al. Theor Appl Genet, 103 (2001),pp. 153-160