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| Title |
Comparative proteomic analysis of maize (Zea mays L.) seedlings under rice black-streaked dwarf virus infection
|
|---|---|
| Published in |
BMC Plant Biology, September 2018
|
| DOI | 10.1186/s12870-018-1419-x |
| Pubmed ID | |
| Authors |
Runqing Yue, Caixia Lu, Xiaohua Han, Shulei Guo, Shufeng Yan, Lu Liu, Xiaolei Fu, Nana Chen, Xinhai Guo, Haifeng Chi, Shuanggui Tie |
| Abstract |
Maize rough dwarf disease (MRDD) is a severe disease that has been occurring frequently in southern China and many other Asian countries. MRDD is caused by the infection of Rice black streaked dwarf virus (RBSDV) and leads to significant economic losses in maize production. To well understand the destructive effects of RBSDV infection on maize growth, comparative proteomic analyses of maize seedlings under RBSDV infection was performed using an integrated approach involving LC-MS/MS and Tandem Mass Tag (TMT) labeling. In total, 7615 maize proteins, 6319 of which were quantified. A total of 116 differentially accumulated proteins (DAPs) were identified, including 35 up- and 81 down-regulated proteins under the RBSDV infection. Enrichment analysis showed that the DAPs were most strongly associated with cyanoamino acid metabolism, protein processing in ER, and ribosome-related pathways. Two sulfur metabolism-related proteins were significantly reduced, indicating that sulfur may participate in the resistance against RBSDV infection. Furthermore, 15 DAPs involved in six metabolic pathways were identified in maize under the RBSDV infection. Our data revealed that the responses of maize to RBSDV infection were controlled by various metabolic pathways. |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 23% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Unknown | 11 | 50% |
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 14 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from BMC Plant Biology
#2,530
of 3,290 outputs
Outputs of similar age
#293,993
of 337,668 outputs
Outputs of similar age from BMC Plant Biology
#58
of 77 outputs
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So far Altmetric has tracked 3,290 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.