Plant Gene Silencing
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Trans-Kingdom RNA Silencing in Plant-Fungal Disease Control.
|
|---|---|
| Book title |
Plant Gene Silencing
|
| Published in |
Methods in molecular biology, January 2022
|
| DOI | 10.1007/978-1-0716-1875-2_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161874-5, 978-1-07-161875-2
|
| Authors |
Zhang, Tao, Wang, Fei, Guo, Hui-Shan, Jin, Yun |
| Abstract |
Trans-kingdom RNA interference (RNAi) has been reported in several plant-fungal pathosystems. Our recent works have demonstrated natural RNAi transmission from cotton plants into Verticillium dahliae, a soil-borne phytopathogenic fungus that infects host roots and proliferates in vascular tissues, and successful application of trans-kingdom RNAi in cotton plants to confer Verticillium wilt disease resistance. Here, we provide a detailed protocol of cotton infection with V. dahliae, fungal hyphae recovery from infected cotton stems, and transmitted small RNA detection developed from our previous studies for trans-kingdom RNAi assays. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 1 | 100% |
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 25 March 2022.
All research outputs
#18,232,412
of 23,414,653 outputs
Outputs from Methods in molecular biology
#7,432
of 13,324 outputs
Outputs of similar age
#345,824
of 508,689 outputs
Outputs of similar age from Methods in molecular biology
#289
of 594 outputs
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So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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