Phylogeny of Rickettsia spp. inferred by comparing sequences of 'gene D', which encodes an intracytoplasmic protein.

作者
Zuzana Sekeyová,Véronique Roux,Didier Raoult
出处
期刊:International Journal of Systematic and Evolutionary Microbiology [Microbiology Society]
卷期号:51 (4): 1353-1360 被引量:213
标识
DOI:10.1099/00207713-51-4-1353
摘要

'Gene D' is the PS120-protein-encoding gene, first described in Rickettsia conorii and Rickettsia japonica. Sequence analysis of a 3030 bp fragment of 'gene D' in 24 representatives of the genus Rickettsia was carried out to complete phylogenetic analyses previously inferred by comparison of gene sequences encoding citrate synthase, 17 kDa antigen and rOmpA and rOmpB. The phylogenetic relationships between rickettsiae were inferred from the comparison of both the gene and the derived protein sequences, using the parsimony, neighbour-joining and maximum-likelihood methods. Five distinct groups of rickettsiae were identified. These were: the Rickettsia massiliae group, including R. massiliae, Bar 29, Rickettsia rhipicephali and Rickettsia aeschlimannii; the Rickettsia rickettsii group containing Rickettsia sibirica, 'Rickettsia mongolotimonae', Rickettsia parkeri, strain S, Rickettsia africae, the R. conorii complex, Rickettsia slovaca, Rickettsia honei, R. rickettsii, R. japonica and Rickettsia montanensis; the group currently containing only Rickettsia helvetica; the Rickettsia akari group including Rickettsia australis, R. akari and the ELB agent; Rickettsia prowazekii and Rickettsia typhi clustered in the typhus group. As significant bootstrap values were obtained for most of the nodes, sequence comparison of 'gene D' should be considered as a complementary approach in phylogenetic studies of rickettsiae.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
齐智阳完成签到,获得积分10
1秒前
CAO发布了新的文献求助10
2秒前
Lucas应助慈祥的网络采纳,获得10
2秒前
YoungLoo发布了新的文献求助10
2秒前
Ava应助beta采纳,获得10
2秒前
烂漫映之完成签到 ,获得积分10
2秒前
Lee发布了新的文献求助10
3秒前
小小冯完成签到,获得积分10
3秒前
小鱼干完成签到,获得积分10
3秒前
4秒前
Acc完成签到,获得积分10
4秒前
5秒前
6秒前
MaTeng发布了新的文献求助10
7秒前
7秒前
allen应助shirly采纳,获得10
7秒前
打打应助忧伤的彩虹采纳,获得10
7秒前
8秒前
蒋培琰发布了新的文献求助10
9秒前
小荷才露尖尖角给ZXD1989的求助进行了留言
10秒前
旷野发布了新的文献求助10
10秒前
慕青应助无聊的人采纳,获得10
11秒前
11秒前
11秒前
12秒前
英姑应助栗子采纳,获得10
12秒前
12秒前
木子慬完成签到,获得积分10
13秒前
无痕剑发布了新的文献求助10
13秒前
14秒前
16秒前
呆萌士晋发布了新的文献求助10
17秒前
17秒前
18秒前
18秒前
天天发布了新的文献求助10
18秒前
忧郁的书苗完成签到,获得积分10
18秒前
陈信宏完成签到,获得积分10
19秒前
丘比特应助热情大树采纳,获得10
19秒前
科研通AI6.2应助成就代双采纳,获得30
20秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7295060
求助须知:如何正确求助?哪些是违规求助? 8913551
关于积分的说明 18873038
捐赠科研通 6961420
什么是DOI,文献DOI怎么找? 3210143
关于科研通互助平台的介绍 2379484
邀请新用户注册赠送积分活动 2186424