草原革蜱和边缘革蜱的分子生物学鉴定

Abstract

Abstract: This study was to establish a method for identifying Dermacentor nuttalli (D.nuttalli) and Dermacentor marginatus (D.marginatus) with molecular markers, and to study the phylogenetic relationship of these two species of ticks. Ticks were collected from domestic animals in Xinjiang province and classified by morphology characters. Then 16S rRNA and COⅠ of ticks were amplified by PCR and subsequently sequenced. Phylogenetic trees were constructed by Mega 5.0 and Mrbayes 3.2. On the phylogenetic trees based on 16S rRNA, D.nuttalli was clustered together with their respective class D.nuttalli, and D.marginatus formed a distinct branch. Moreover, D.marginatus was clustered with their respective class D.marginatus, and D.nuttalli formed a distinct branch on the phylogenetic trees based on COⅠ. Based on morphology and combined with molecular biology identification the method was a simple, accuracy method for the identification of D.nuttalli and D.marginatus.

Key words: COⅠ; 16S rRNA; Dermacentor nuttalli; Dermacentor marginatus; molecular identification

CLC Number:

Q969.91

LV Ji-zhou, WANG Zhen-bao, YUAN Xiang-fen, WU Shao-qiang. Molecular Biological Identification of Dermacentor nuttalli and Dermacentor marginatus[J]. , 2013, 40(9): 8-15.

References

1 马索南才让. 牦牛泰勒焦虫病的诊断与综合防制[J]. 中国畜牧兽医,2008,35(4):99~100.
2 邓国藩. 中国经济昆虫志[M]. 北京:科学出版社,1991.
3 巴音查汗,徐显曾. 森林革蜱与草原革蜱的超微形态学比较[J]. 中国兽医科技,2001,31(6):27~30.
4 陈泽,杨晓军,杨晓红,等. 中国蜱类地理分布及区系分析[J]. 四川动物,2008,27(5):820~823.
5 杨晓军,陈泽,刘敬泽. 蜱类系统学研究进展[J]. 昆虫学报,2007,50(9):941~949.
6 杨晓军,陈泽,刘敬泽. 中国蜱类有效属和有效种[J]. 河北师范大学学报(自然科学版),2008,32(4):529~533.
7 张思华. 蜱与蜱传疾病最新研究进展[J]. 安徽预防医学杂志,2012,1(4):45~48.
8 姜在阶. 草原革蜱和森林革蜱幼虫的形态学研究[J]. 昆虫学报,1985(1):60~69.
9 徐广,方庆权. 分子系统进化关系分析的一种新方法——贝叶斯法在硬蜱属中的应用[J]. 动物学报,2003,49(3):380~388.
10 Anderson J M, Ammerman N C, Norris D E. Molecular differentiation of metastriate tick immatures. Vector Borne Zoonotic Dis,2004,4(4):334~342.
11 Battsetsrg B, Xuan X, Ikadai H, et al. Detection of Babesia caballi and Babesia equi in Dermacentor nuttalli adult ticks. Int J Parasitol,2001,31(4):384~386.
12 Caporale D A, Rich S M, Spielman A,et al. Discriminating between Ixodes ticks by means of mitochondrial DNA sequences. Mol Phylogenet Evol,1995,4(4):361~365.
13 Chen X, Yu Z, Guo L, et al. Life cycle of Haemaphysalis doenitzi (Acari: Ixodidae) under laboratory conditions and its phylogeny based on mitochondrial 16S rDNA. Exp Appl Acarol,2012,56(2):143~150.
14 Mangold A J, Bargues M D, Mas-Coma S. Mitochondrial 16S rDNA sequences and phylogenetic relationships of species of Rhipicephalus and other tick genera among Metastriata (Acari:Ixodidae). Parasitol Res,1998, 84(6): 478~484.
15 Mixson T R, Lydy S L, Dasch G A, et al. Inferring the population structure and demographic history of the tick, Amblyomma americanum Linnaeus. J Vector Ecol, 2006, 31(1): 181~192.
16 Razmi G,Pourhosseini M,Yaghfouri S, et al. Molecular detection of Theileria spp and Babesia spp in sheep and ixodid ticks from the north east of Iran. J Parasitol, 2012, 22(4):318~325.
17 Rees D J, Dioli M, Kirkendall L R. Molecules and morphology: Evidence for cryptic hybridization in African Hyalomma (Acari:Ixodidae). Mol Phylogenet Evol, 2003, 27(1): 131~142.
18 Ronquist F, Huelsenbeck J P. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics,2003, 19(12):1572~1574.
19 Speck S, Derschum H, Damdindorj T, et al. Rickettsia raoultii, the predominant Rickettsia found in Mongolian Dermacentor nuttalli. Ticks Tick Borne Dis,2012, 3(4):227~231.
20 Spitalska E,Stefanidesova K, Kocianova E, et al.Rickettsia slovaca and Rickettsia raoultii in Dermacentor marginatus and Dermacentor reticulatus ticks from Slovak Republic. Exp Appl Acarol, 2012, 57(2):189~197.
21 Tamura K, Peterson D, Peterson N,et al. Mega 5: Molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol, 2011, 28(10): 2731~2739.

[1]	CAO Yingying, LIANG Liang, ZENG Yirong, ZHONG Qinghua, YUAN Xiaofang, TANG Haibo, LENG Jing. Isolation,Identification and Biological Characteristics of Salmonella from Tupaia belangeri chinensis [J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(4): 1718-1728.
[2]	JIANG Changjin, CHEN Yun, PAN Pengcheng, CHEN Baojian, GUAN Zhihui, LU Huilin, XIE Bingkun, QIN Zhaoxian. Fecal Microflora Structure and Its Correlation with Growth Rate in Finishing Pigs [J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(3): 924-931.
[3]	QIAO Hongxing, DING Yong, ZHANG Liheng, SONG Yuzhen, DONG Qing, BIAN Chuanzhou, ZHAO Junqiang. Isolation, Identification, 16S rRNA Gene Sequencing and Genetic Evolution Analysis of Aeromonas aeruginosa from Duck [J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(2): 435-442.
[4]	ZHANG Yuying, LIU Shujie, FENG Yuzhe, ZHANG Xiaowei, CUI Zhanhong. Bacterial Flora Composition of Normal and Diarrhea Yak Calves Based on 16S rRNA Sequencing [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(9): 3293-3302.
[5]	SONG Shengnan, GUO Jia, YANG Yicheng, SANG Chunli, YANG Meihua, WANG Yuanzhi. Species Identification of Ticks from Pet Dog and Detection of Brucella Carried by Ticks in Shihezi Area [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(5): 1717-1724.
[6]	ZHONG Rui, HE Tingmei, BI Bo, YANG Xingtao, SHI Xiaogang, JIN Senlong, FENG Gang, PENG Guangneng. Isolation,Identification and Drug Resistance Analysis of Enterococcus faecalis from Raccoon [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(3): 1112-1120.
[7]	GUO Wenjie, LIU Shujie, CUI Zhanhong, SUI Lu. Comparative Analysis of Gut Bacterial Composition of Grazing Male Yaks at Different Ages Based on 16S rRNA Sequencing Technology [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(10): 3614-3624.
[8]	SI Jinglei, HUANG Ye, CHEN Kuirong, LYU Dongling, CHENG Feng, TIAN Weilong, LIU Xiaoxiao, LIANG Liang, LI Yueyue, FENG Lingli, GAO Jiuyu, MO Jiayuan, LIANG Jing, LAN Ganqiu. Evaluating of the Association Between Early-stage Weight and Gut Microbiota in Duroc Pigs Using 16S rRNA Sequencing [J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(1): 190-199.
[9]	ZHANG Zijing, ZHU Xiaoting, LYU Shijie, JIN Lei, XU Jiawei, HUANG Yongzhen, LI Zhiming, WANG Xianwei, YU Xiang, YANG Shang, LI Jing, WANG Eryao, XU Zhaoxue, SHI Qiaoting. Study on the Structure and Function of Fecal Microbiome Between Diarrhea and Healthy Calves [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(9): 2779-2788.
[10]	YAN Chaohua, WEN Ming, ZHOU Bijun, ZHANG Xu, CHEN Guoquan, ZHAO Dajie, ZHANG Tiantian, WANG Na, LIU Yanhan. Isolation,Identification and Drug Resistance Analysis of Aerococcus viridans from Rhizomys sinensis [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(8): 2643-2651.
[11]	TANG Haibo, YUN Chenxia, LIANG Liang, YUAN Xiaofang, HUANG Zhengtuan, CAO Yinyin, LENG Jing. Isolation and Identification and Biological Characterization of Aeromonas hydrophila from Tupaia belangeri yaoshanensis [J]. China Animal Husbandry and Veterinary Medicine, 2020, 47(5): 1560-1570.
[12]	WU Qiong, WANG Sizhen, ZHANG Shi, HU Zongfu, YANG Hao, NIU Huaxin. Analysis of Rumen Microbial Diversity and Functional Prediction of Chinese Simmental Cattle Based on 16S rRNA High-throughput Sequencing Technology [J]. , 2019, 46(5): 1370-1378.
[13]	LING Chen, HAO Chengwu, HE Hai, ZHANG Fei, HOU Feng, HE Sun. Isolation and Identification of Mycoplasma bovis in Xinjiang [J]. , 2019, 46(5): 1466-1473.
[14]	FANG Zhenhua, DAI Xiaomei, DING Li, HONG Meiling. Isolation,Identification and Drug Susceptibility Analysis of Pseudomonas putida from Chinemys reevesii [J]. China Animal Husbandry and Veterinary Medicine, 2019, 46(10): 3115-3123.
[15]	ZHANG Mingyang, HU Andong, CHENG Zhentao, JIANG Haibo, WEN Ming. Isolation,Identification and Drug Resistance Analysis of Plesiomonas shigelloides from Hybrid Surgeon [J]. , 2019, 46(1): 264-270.

Molecular Biological Identification of Dermacentor nuttalli and Dermacentor marginatus

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments