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| Title |
The key genes and pathways related to male sterility of eggplant revealed by comparative transcriptome analysis
|
|---|---|
| Published in |
BMC Plant Biology, September 2018
|
| DOI | 10.1186/s12870-018-1430-2 |
| Pubmed ID | |
| Authors |
Yan Yang, Shengyou Bao, Xiaohui Zhou, Jun Liu, Yong Zhuang |
| Abstract |
Male sterility (MS) is an effective tool for hybrid production. Although MS has been widely reported in other plants, such as Arabidopsis and rice, the molecular mechanism of MS in eggplant is largely unknown. To understand the mechanism, the comparative transcriptomic file of MS line and its maintainer line was analyzed with the RNA-seq technology. A total of 11,7695 unigenes were assembled and 19,652 differentially expressed genes (DEGs) were obtained. The results showed that 1,716 DEGs were shared in the three stages. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that these DEGs were mainly involved in oxidation-reduction, carbohydrate and amino acid metabolism. Moreover, transcriptional regulation was also the impact effector for MS and anther development. Weighted correlation network analysis (WGCNA) showed two modules might be responsible for MS, which was similar to hierarchical cluster analysis. A number of genes and pathways associated with MS were found in this study. This study threw light on the molecular mechanism of MS and identified several key genes related to MS in eggplant. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 15 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Agricultural and Biological Sciences | 6 | 17% |
| Arts and Humanities | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 49% |
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 26 September 2018.
All research outputs
#20,533,782
of 23,103,903 outputs
Outputs from BMC Plant Biology
#2,528
of 3,290 outputs
Outputs of similar age
#296,205
of 340,828 outputs
Outputs of similar age from BMC Plant Biology
#59
of 80 outputs
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