| Title |
Analysis on genetic diversification and heterosis in autotetraploid rice
|
|---|---|
| Published in |
SpringerPlus, September 2013
|
| DOI | 10.1186/2193-1801-2-439 |
| Pubmed ID | |
| Authors |
Jin-Wen Wu, Chao-Yue Hu, Muhammad Qasim Shahid, Hai-Bin Guo, Yu-Xiang Zeng, Xiang-Dong Liu, Yong-Gen Lu |
| Abstract |
Polyploidization has played an important role in plant evolution and is a pathway for plants to increase genetic diversification and to get higher heterosis comparing with that of diploid does. This study was undertaken to assess the genetic variation and relationships among 40 autotetraploid rice genotypes and their counterpart diploid cultivars with 99 SSR markers screened from published rice genome. The 99 SSR markers detected polymorphism among autotetraploid genotypes and revealed a total of 291 alleles with an average of 2.949 alleles per locus. Autotetraploid lines showed higher genetic diversity and significant variation in agronomic traits than diploid cultivars. Phylogenetic analysis revealed that most of autotetraploid lines were genetically different from their diploid parents, and inter-subspecific hybrids were prepared on the basis of genetic distance between parents. Inter-subspecific autotetraploid hybrids showed a higher and positive heterobeltiosis and competitive heterosis than diploid hybrids, especially for grain yield. Genetic distance appeared not to predict heterosis in diploid rice for all traits; however, it showed a significant correlation with grain yield, grain length and grain length to width ratio in autotetraploid rice. This extensive research on autotetraploid heterosis and genetic diversity will be useful for the development of autotetraploid rice hybrids. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Master | 4 | 10% |
| Professor > Associate Professor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 57% |
| Social Sciences | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Mathematics | 1 | 3% |
| Unknown | 13 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from SpringerPlus
#932
of 1,852 outputs
Outputs of similar age
#121,002
of 196,918 outputs
Outputs of similar age from SpringerPlus
#47
of 102 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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