| Title |
Genomes of the rice pest brown planthopper and its endosymbionts reveal complex complementary contributions for host adaptation
|
|---|---|
| Published in |
Genome Biology, December 2014
|
| DOI | 10.1186/s13059-014-0521-0 |
| Pubmed ID | |
| Authors |
Jian Xue, Xin Zhou, Chuan-Xi Zhang, Li-Li Yu, Hai-Wei Fan, Zhuo Wang, Hai-Jun Xu, Yu Xi, Zeng-Rong Zhu, Wen-Wu Zhou, Peng-Lu Pan, Bao-Ling Li, John K Colbourne, Hiroaki Noda, Yoshitaka Suetsugu, Tetsuya Kobayashi, Yuan Zheng, Shanlin Liu, Rui Zhang, Yang Liu, Ya-Dan Luo, Dong-Ming Fang, Yan Chen, Dong-Liang Zhan, Xiao-Dan Lv, Yue Cai, Zhao-Bao Wang, Hai-Jian Huang, Ruo-Lin Cheng, Xue-Chao Zhang, Yi-Han Lou, Bing Yu, Ji-Chong Zhuo, Yu-Xuan Ye, Wen-Qing Zhang, Zhi-Cheng Shen, Huan-Ming Yang, Jian Wang, Jun Wang, Yan-Yuan Bao, Jia-An Cheng |
| Abstract |
The brown planthopper, Nilaparvata lugens, the most destructive pest of rice, is a typical monophagous herbivore that feeds exclusively on rice sap, which migrates over long distances. Outbreaks of it have re-occurred approximately every three years in Asia. It has also been used as a model system for ecological studies and for developing effective pest management. To better understand how a monophagous sap-sucking arthropod herbivore has adapted to its exclusive host selection and to provide insights to improve pest control, we analyzed the genomes of the brown planthopper and its two endosymbionts. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| China | 1 | 50% |
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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Uruguay | 1 | <1% |
| Brazil | 1 | <1% |
| Czechia | 1 | <1% |
| Colombia | 1 | <1% |
| Taiwan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 187 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 21% |
| Researcher | 33 | 17% |
| Student > Master | 24 | 12% |
| Student > Bachelor | 18 | 9% |
| Professor | 12 | 6% |
| Other | 27 | 14% |
| Unknown | 44 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 102 | 51% |
| Biochemistry, Genetics and Molecular Biology | 26 | 13% |
| Immunology and Microbiology | 5 | 3% |
| Computer Science | 2 | 1% |
| Earth and Planetary Sciences | 2 | 1% |
| Other | 13 | 7% |
| Unknown | 49 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 December 2014.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from Genome Biology
#4,055
of 4,467 outputs
Outputs of similar age
#216,133
of 368,274 outputs
Outputs of similar age from Genome Biology
#94
of 101 outputs
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