| Title |
QTL analysis for rice grain length and fine mapping of an identified QTL with stable and major effects
|
|---|---|
| Published in |
Theoretical and Applied Genetics, February 2006
|
| DOI | 10.1007/s00122-006-0227-0 |
| Pubmed ID | |
| Authors |
X. Y. Wan, J. M. Wan, L. Jiang, J. K. Wang, H. Q. Zhai, J. F. Weng, H. L. Wang, C. L. Lei, J. L. Wang, X. Zhang, Z. J. Cheng, X. P. Guo |
| Abstract |
Grain length in rice plays an important role in determining rice appearance, milling, cooking and eating quality. In this study, the genetic basis of grain length was dissected into six main-effect quantitative trait loci (QTLs) and twelve pairs of epistatic QTLs. The stability of these QTLs was evaluated in four environments using an F7 recombinant inbred line (RIL) population derived from the cross between a Japonica variety, Asominori, and an Indica variety, IR24. Moreover, chromosome segment substitution lines (CSSLs) harboring each of the six main-effect QTLs were used to evaluate gene action of QTLs across eight environments. A major QTL denoted as qGL-3a, was found to express stably not only in the isogenic background of Asominori but also in the recombinant background of Asominori and IR24 under multiple environments. The IR24 allele at qGL-3a has a positive effect on grain length. Based on the test of advanced backcross progenies, qGL-3a was dissected as a single Mendelian factor, i.e., long rice grain was controlled by a recessive gene gl-3. High-resolution genetic and physical maps were further constructed for fine mapping gl-3 by using 11 simple sequence repeat (SSR) markers designed using sequence information from seven BAC/PAC clones and a BC4F2 population consisting of 2,068 individuals. Consequently, the gl-3 gene was narrowed down to a candidate genomic region of 87.5 kb long defined by SSR markers RMw357 and RMw353 on chromosome 3, which provides a basis for map-based cloning of this gene and for marker-aided QTL pyramiding in rice quality breeding. |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 2% |
| Philippines | 2 | 2% |
| United States | 2 | 2% |
| Nigeria | 1 | <1% |
| Malaysia | 1 | <1% |
| Chile | 1 | <1% |
| Unknown | 99 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 34% |
| Researcher | 23 | 21% |
| Student > Doctoral Student | 9 | 8% |
| Student > Master | 8 | 7% |
| Professor > Associate Professor | 7 | 6% |
| Other | 14 | 13% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 80% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Engineering | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 11 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2010.
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#7,845,540
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,366
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Outputs of similar age
#42,388
of 160,032 outputs
Outputs of similar age from Theoretical and Applied Genetics
#12
of 23 outputs
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