| Literature DB >> 28848504 |
Xinyu Feng1,2,3,4,5, Shaosen Zhang1,2,3,4,6,7,8, Fang Huang1,2,3,4, Li Zhang1,2,3,4, Jun Feng1,2,3,4, Zhigui Xia1,2,3,4, Hejun Zhou1,2,3,4, Wei Hu1,2,3,4,5,9, Shuisen Zhou1,2,3,4.
Abstract
China has set a goal to eliminate all malaria in the country by 2020, but it is unclear if current understanding of malaria vectors and transmission is sufficient to achieve this objective. Anopheles sinensis is the most widespread malaria vector specie in China, which is also responsible for vivax malaria outbreak in central China. We reviewed literature from 1954 to 2016 on An. sinensis with emphasis on biology, bionomics, and molecular biology. A total of 538 references were relevant and included. An. sienesis occurs in 29 Chinese provinces. Temperature can affect most life-history parameters. Most An. sinensis are zoophilic, but sometimes they are facultatively anthropophilic. Sporozoite analysis demonstrated An. sinensis efficacy on Plasmodium vivax transmission. An. sinensis was not stringently refractory to P. falciparum under experimental conditions, however, sporozoite was not found in salivary glands of field collected An. sinensis. The literature on An. sienesis biology and bionomics was abundant, but molecular studies, such as gene functions and mechanisms, were limited. Only 12 molecules (genes, proteins or enzymes) have been studied. In addition, there were considerable untapped omics resources for potential vector control tools. Existing information on An. sienesis could serve as a baseline for advanced research on biology, bionomics and genetics relevant to vector control strategies.Entities:
Keywords: Anopheles sinensis; China; biology; bionomics; gene; molecule; protein; vector
Year: 2017 PMID: 28848504 PMCID: PMC5552724 DOI: 10.3389/fmicb.2017.01473
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Vectorial capacity (VC) and entomological inoculation rate (EIR) of An. sinensis in China.
| Reference | Location | HBI | GC | SR (%) | EIR ( | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shangqiu, Henan | 13.80 | NA | 3.00 | NA | 10.50 | 0.85 | NA | 0.09 | 0.24 | |
| Zhejiang | 6.90 | NA | NA | NA | NA | 0.85 | 0.24 | NA | NA | |
| Shucheng, Anhui | NA | NA | NA | NA | NA | NA | NA | 0.19 | 0.00 | |
| Pixian, Jiangsu | NA | 0.10 | 2.50 | 0.04 | NA | 0.86–0.88 | NA | NA | NA | |
| Guidong, Hunan | 0–77.25 | NA | NA | NA | NA | NA | 0–2.03 | NA | NA | |
| Yunnan | NA | NA | NA | NA | NA | NA | 0.01 | NA | NA | |
| Junlian, Sichuan | 0.41 | 0.05 | 2.50 | 0.02 | 10.00 | 0.88 | 0.02 | 0.00 | 0.00 | |
| Gunagxi | 0.03–2.02 | NA | NA | 0.02–0.05 | NA | NA | 0.00–0.26 | NA | NA | |
| Fujian | 8.10 | 0.08 | NA | 0.03 | 9.80 | NA | 0.19 | NA | NA | |
| Gunagxi | 13.60 | 0.30 | NA | NA | NA | NA | 0.08 | 0.19 | NA | |
| 0.80 | 0.02 | 0.02 | 0.00 | |||||||
| Fujian | 8.10 | NA | NA | 0.03 | 9.80 | NA | 0.28 | NA | NA | |
| Yunnan | 1.40 | 0.05 | 2.50 | 0.02 | NA | 0.87 | 0.03 | 0.00 | 0.00 | |
| Shanghai | 9.14 | 0.06 | 2.00 | 0.03 | NA | 0.86 | 0.35 | 0.00 | NA | |
| Fujian | 8.10 | NA | 2.50 | 0.03 | 9.80 | 0.84 | 0.26 | 0.16 | NA | |
| Hunan | NA | NA | NA | NA | NA | NA | 0–2.7 | NA | NA | |
| Yanhe, Guizhou | 32.90–76.50 | NA | 3.00 | 0.04 | NA | NA | 0.42–14.94 | NA | NA | |
| Ganyu, Jiangsu | 0.25–2.38 | NA | NA | 0.00–0.03 | NA | 0.85–0.90 | 0.00–0.12 | NA | NA | |
| Longli, Guizhou | 2.50 | 0.02 | NA | 0.01 | 14.51 | 0.82 | 0.01 | NA | NA | |
| 1.31 | 0.02 | 0.01 | 14.82 | 0.85 | 0.01 | |||||
| Deqing, Zhejiang | NA | 0.04 | 2.50 | 0.02 | 8.50 | 0.87 | 0.04 | NA | NA | |
| Jining, Shandong | 4.07 | 0.13 | 2.50 | 0.05 | 10.00 | 0.82 | 0.15 | NA | NA | |
| Tengchong, Yunan | 1.33 | 0.03 | 2.50 | 0.01 | NA | 0.78 | 0.00 | 0.00 | NA | |
| Taizhou, Zhejiang | 3.08 | NA | 3.67 | 0.01 | 11.39 | 0.79 | 0.01 | NA | NA | |
| Qionglai, Sichuan | 0.12 | NA | NA | 0.02 | NA | NA | 0.01 | NA | NA | |
| Haining, Zhejiang | 9.85 | NA | 3.70 | 0.01 | 9.50 | 0.81 | 0.08 | NA | NA | |
| Changzhou, Jiangsu | NA | 0.00 | 2.00 | NA | NA | NA | 0.00 | NA | NA | |
| Yiwu, Zhejiang | 15.36 | NA | 3.67 | 0.02 | 8.54 | 0.87 | 0.73 | NA | NA | |
| Wenzhou, Zhejiang | 7.24 | 0.06 | NA | 0.02 | NA | NA | 0.22 | NA | NA | |
| Mengcheng, Anhui | 11.19 | 0.18 | 2.50 | 0.07 | 9.79 | 0.83 | 0.15 | NA | NA | |
| Fenghua, Zhengjiang | 2.87 | 0.04 | 2.50 | 0.02 | 10.84 | 0.91 | 0.18 | NA | NA | |
| Huizhou, Guangdong | 5.01 | 0.48 | NA | 0.13 | NA | NA | 0.25 | NA | NA | |
| Zhuhai, Guangdong | 4.31 | 0.44 | 0.12 | 0.66 | ||||||
| Huaiyuan, Anhui | 6.10 | 0.67 | 2.50 | 0.27 | 10.00 | NA | 0.77 | NA | NA | |
| Yongcheng, Henan | 5.90 | 0.64 | 2.50 | 0.26 | 10.00 | 0.55 | ||||
| Shuangliu, Sichuan | 1.93 | 0.05 | 3.50 | NA | NA | NA | 0.02 | NA | NA | |
| Chengdu, Sichuan | 1.20 | 0.05 | 3.50 | NA | NA | 0.85 | 0.01 | NA | NA | |
| Xiangshan, Zhejiang | 2.64 | NA | 3.67 | 0.03 | 10.41 | 0.88 | 0.12 | NA | NA |
dentified published molecules of An. sinensis in China.
| Molecules | Accession number | Functions involved | Reference |
|---|---|---|---|
| Defensin | DQ002892 | Immunity | |
| Aquaporin (AQP) | NA | Biological process | |
| CYP6P5 | KF358704 | NA | |
| CYP4G17 | NA | NA | |
| SRPN14 | NA | Immunity | |
| Detoxification supergene families | NA | Insecticide resistance | |
| Haem oxygenase (HO-1) | NA | NA | |
| Tyrosine hydroxylase (TH) | NA | Immunity/Biological process | |
| Odorant-binding protein (OBP) | NA | Biological process | |
| Iron responsive element binding protein 1 (IRE_BP1) | NA | Insecticide resistance | |
| Cuticular protein family (CPF) | NA | Biological process | |
| Heat shock protein 40 (HSP40) | HM013840 | Immunity/molecular chaperones |