| Title |
Genes important for survival or reproduction in Varroa destructor identified by RNAi
|
|---|---|
| Published in |
Insect Science, December 2017
|
| DOI | 10.1111/1744-7917.12513 |
| Pubmed ID | |
| Authors |
Zachary Y. Huang, Guowu Bian, Zhiyong Xi, Xianbing Xie |
| Abstract |
The Varroa mite, (Varroa destructor), is the worst threat to honey bee health worldwide. To explore the possibility of using RNAi to control this pest, we determined the effects of knocking down various genes on Varroa mite survival and reproduction. Double-stranded RNA (dsRNA) of six candidate genes (Da, Pros26S, RpL8, RpL11, RpP0 and RpS13) were synthesized and each injected into Varroa mites, then mite survival and reproduction were assessed. Injection of dsRNA for Da (Daughterless) and Pros26S (Proteasome 26S subunit ATPase) caused a significant reduction in mite survival, with 3.57% ± 1.94% and 30.03% ± 11.43% mites surviving at 72 h post injection (hpi), respectively. Control mites injected with GFP-dsRNA showed survival rates of 81.95% ± 5.03% and 82.36 ± 2.81%, respectively. Injections of dsRNA for four other genes (RpL8, RpL11, RpP0 and RpS13) did not affect survival significantly, enabling us to assess their effect on Varroa mite reproduction. The number of female offspring per mite was significantly reduced for mites injected with dsRNA of each of these 4 genes compared to their GFP dsRNA control. Knockdown of the target genes was verified by real time PCR for two genes important for reproduction (RpL8, RpL11) and one gene important for survival (Pros26S). In conclusion, through RNA interference, we have discovered two genes important for mite survival and four genes important for mite reproduction. These genes could be explored as possible targets for the control of Varroa destructor in the future. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| New Zealand | 1 | 11% |
| Canada | 1 | 11% |
| Australia | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Student > Bachelor | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Master | 5 | 13% |
| Librarian | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 40% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Unspecified | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 12 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 06 December 2021.
All research outputs
#736,685
of 24,451,065 outputs
Outputs from Insect Science
#7
of 915 outputs
Outputs of similar age
#17,170
of 447,155 outputs
Outputs of similar age from Insect Science
#1
of 33 outputs
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