| Title |
Genetic analysis for the grain number heterosis of a super-hybrid rice WFYT025 combination using RNA-Seq
|
|---|---|
| Published in |
Rice, June 2018
|
| DOI | 10.1186/s12284-018-0229-y |
| Pubmed ID | |
| Authors |
Liang Chen, Jianmin Bian, Shilai Shi, Jianfeng Yu, Hira Khanzada, Ghulam Mustafa Wassan, Changlan Zhu, Xin Luo, Shan Tong, Xiaorong Yang, Xiaosong Peng, Shuang Yong, Qiuying Yu, Xiaopeng He, Junru Fu, Xiaorong Chen, Lifang Hu, Linjuan Ouyang, Haohua He |
| Abstract |
Despite the great contributions of utilizing heterosis to crop productivity worldwide, the molecular mechanism of heterosis remains largely unexplored. Thus, the present research is focused on the grain number heterosis of a widely used late-cropping indica super hybrid rice combination in China using a high-throughput next-generation RNA-seq strategy. Here, we obtained 872 million clean reads, and at least one read could maps 27,917 transcripts out of 35,679 annotations. Transcript differential expression analysis revealed a total of 5910 differentially expressed genes (DGHP) between super-hybrid rice Wufengyou T025 (WFYT025) and its parents were identified in the young panicles. Out of the 5910 DGHP, 63.1% had a genetic action mode of over-dominance, 17.3% had a complete-dominance action, 15.6% had a partial-dominance action and 4.0% had an additive action. DGHP were significantly enriched in carotenoid biosynthesis, diterpenoid biosynthesis and plant hormone signal transduction pathways, with the key genes involved in the three pathways being up-regulated in the hybrid. By comparing the DGHP enriched in the KEGG pathway with QTLs associated with grain number, several DGHP were located on the same chromosomal segment with some of these grain number QTLs. Through young panicle development transcriptome analysis, we conclude that the over-dominant effect is probably the major contributor to the grain number heterosis of WFYT025. The DGHP sharing the same location with grain number QTLs could be considered a candidate gene and provide valuable targets for the cloning and functional analysis of these grain number QTLs. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Student > Master | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 42% |
| Chemical Engineering | 1 | 4% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 June 2018.
All research outputs
#13,619,233
of 23,090,520 outputs
Outputs from Rice
#129
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Outputs of similar age
#169,531
of 328,710 outputs
Outputs of similar age from Rice
#2
of 8 outputs
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