You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
|
|---|---|
| Published in |
BMC Genomics, May 2018
|
| DOI | 10.1186/s12864-018-4741-7 |
| Pubmed ID | |
| Authors |
Hang Dong, Shuangfeng Shi, Chong Zhang, Sihui Zhu, Mei Li, Jie Tan, Yue Yu, Liping Lin, Shirong Jia, Xujing Wang, Yuanhua Wu, Yuhui Liu |
| Abstract |
Soybean downy mildew (SDM), caused by Peronospora manshurica (Pm), is a major fungal disease in soybean. To date, little is known regarding the defense mechanism at molecular level and how soybean plants response to Pm infection. In this study, differential gene expression in SDM-resistant (HR) and SDM-susceptible (HS) genotype was analyzed by RNA-seq to identify differentially expressed genes (DEGs) following Pm infection. Of a total of 55,017 genes mapped to the soybean reference genome sequences, 2581 DEGs were identified. Clustering analysis of DEGs revealed that these genes could be grouped into 8 clusters with distinct expression patterns. Functional annotation based on gene ontology (GO) and KEGG analysis indicated they involved in diverse metabolism pathways. Of particular interest were the detected DEGs participating in SA/ROS and JA signalling transduction and plant/pathogen interaction. Totally, 52 DEGs with P value < 0.001 and log2 fold change > 2 or < - 2 upon fungal inoculation were identified, suggesting they were SDM defense responsive genes. These findings have paved way in further functional characterization of candidate genes and subsequently can be used in breeding of elite soybean varieties with better SDM-resistance. |
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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Student > Master | 3 | 13% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
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 20 May 2018.
All research outputs
#20,497,162
of 23,061,402 outputs
Outputs from BMC Genomics
#9,328
of 10,702 outputs
Outputs of similar age
#289,009
of 329,133 outputs
Outputs of similar age from BMC Genomics
#210
of 254 outputs
Altmetric has tracked 23,061,402 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,702 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 254 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.