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Saini N, Gupta RS. A robust phylogenetic framework for members of the order Legionellales and its main genera (Legionella, Aquicella, Coxiella and Rickettsiella) based on phylogenomic analyses and identification of molecular markers demarcating different clades. Antonie van Leeuwenhoek 2021; 114:957-982. [PMID: 33881638 DOI: 10.1007/s10482-021-01569-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 04/01/2021] [Indexed: 12/29/2022]
Abstract
The order Legionellales contains several clinically important microorganisms. Although members of this order are well-studied for their pathogenesis, there is a paucity of reliable characteristics distinguishing members of this order and its constituent genera. Genome sequences are now available for 73 Legionellales species encompassing ≈90% of known members from different genera. With the aim of understanding evolutionary relationships and identifying reliable molecular characteristics that are specific for this order and its constituent genera, detailed phylogenetic and comparative analyses were conducted on the protein sequences from these genomes. A phylogenomic tree was constructed based on 393 single copy proteins that are commonly shared by the members of this order to delineate the evolutionary relationships among its members. In parallel, comparative analyses were performed on protein sequences from Legionellales genomes to identify novel molecular markers consisting of conserved signature indels (CSIs) that are specific for different clades and genera. In the phylogenomic tree and in an amino acid identity matrix based on core proteins, members of the genera Aquicella, Coxiella, Legionella and Rickettsiella formed distinct clades confirming their monophyly. In these studies, Diplorickettsia massiliensis exhibited a close relationship to members of the genus Rickettsiella. The results of our comparative genomic analyses have identified 59 highly specific molecular markers consisting of CSIs in diverse proteins that are uniquely shared by different members of this order. Four of these CSIs are specific for all Legionellales species, except the two deeper-branching "Candidatus Berkiella" species, providing means for identifying members of this order in molecular terms. Twenty four, 7 and 6 CSIs are uniquely shared by members of the genera Legionella, Coxiella and Aquicella, respectively, identifying these groups in molecular terms. The descriptions of these three genera are emended to include information for their novel molecular characteristics. We also describe 12 CSIs that are uniquely shared by D. massiliensis and different members of the genus Rickettsiella. Based on these results, we are proposing an integration of the genus Diplorickettsia with Rickettsiella. Three other CSIs suggest that members of the genera Coxiella and Rickettsiella shared a common ancestor exclusive of other Legionellales. The described molecular markers, due to their exclusivity for the indicated taxa/genera, provide important means for the identification of these clinically important microorganisms and for discovering novel properties unique to them.
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Affiliation(s)
- Navneet Saini
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, L8N 3Z5, Canada
| | - Radhey S Gupta
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, L8N 3Z5, Canada.
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Li LH, Zhang L, Wu HY, Qu PH, Chen JC, Zhan XY, Zhu QY, Chen C, Hu CH. Legionella septentrionalis sp. nov., isolated from aquatic environments in the northern PR China. Int J Syst Evol Microbiol 2020; 71. [PMID: 33284100 DOI: 10.1099/ijsem.0.004592] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Four strains (km711T, km714, km542 and km524), representing a novel Legionella species, were isolated from aquatic environments in northern PR China. Cells were Gram-stain-negative, rod-shaped, microaerobic, motile and growth depended on l-cysteine. They grew at 25‒42 °C (optimum, 35‒37 °C) and could tolerate up to 1.5 % (w/v) NaCl (optimum, 0.5 %). The major fatty acids (>5 %) of the type strain km711T were C17 : 0 anteiso, C15 : 0 anteiso, iso-C16 : 0 and C16 : 1 ω7c and/or iso-C15 : 0 2OH. The pairwise comparison values were <96.1 % for 16S rRNA gene sequences, 23.3‒28.7 % interspecies variation for mip gene sequences, <93.6 % average nucleotide identity and <72.8 % average amino acid identity between these four strains and related type strains within the genus Legionella. The phylogenetic tree based on the four concatenated genes (16S rRNA, mip, rpoB and rnpB) and protein-concatamer tree based on concatenation of 21 protein markers both revealed that these four strains formed a separate phylogenetic branch cluster within the genus Legionella. The results of phenotypic and genotypic features suggest that these four strains represent a novel species of the genus Legionella, for which the name Legionella septentrionalis sp. nov. is proposed (type strain km711T=KCTC 15655T=NBRC 113219T).
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Affiliation(s)
- Liang-Hui Li
- The Second Clinic Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, PR China
| | - Lei Zhang
- Guangzhou KingMed Center for Clinical Laboratory, Guangzhou 510330, PR China.,The Second Clinic Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, PR China
| | - Hai-Yan Wu
- School of KingMed Laboratory, Guangzhou Medical University, Guangzhou 510330, PR China
| | - Ping-Hua Qu
- Department of Clinical Laboratory, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510006, PR China.,The Second Clinic Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, PR China
| | - Jia-Chang Chen
- Scientific Research Center, Guangzhou KingCreate Biotechnology Co., Ltd., 510320, PR China
| | - Xiao-Yong Zhan
- Scientific Research Center, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, PR China
| | - Qing-Yi Zhu
- School of KingMed Laboratory, Guangzhou Medical University, Guangzhou 510330, PR China
| | - Cha Chen
- The Second Clinic Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510006, PR China.,Department of Clinical Laboratory, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510006, PR China
| | - Chao-Hui Hu
- School of KingMed Laboratory, Guangzhou Medical University, Guangzhou 510330, PR China.,Scientific Research Center, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, PR China
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Pang X, Jia Z, Lu J, Zhang S, Zhang C, Zhang M, Lv J. A new method for quantitative detection of Lactobacillus casei based on casx gene and its application. BMC Biotechnol 2019; 19:87. [PMID: 31823776 PMCID: PMC6902566 DOI: 10.1186/s12896-019-0587-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 11/15/2019] [Indexed: 02/06/2023] Open
Abstract
Background The traditional method of bacterial identification based on 16S rRNA is a widely used and very effective detection method, but this method still has some deficiencies, especially in the identification of closely related strains. A high homology with little differences is mostly observed in the 16S sequence of closely related bacteria, which results in difficulty to distinguish them by 16S rRNA-based detection method. In order to develop a rapid and accurate method of bacterial identification, we studied the possibility of identifying bacteria with other characteristic fragments without the use of 16S rRNA as detection targets. Results We analyzed the potential of using cas (CRISPR-associated proteins) gene as a target for bacteria detection. We found that certain fragment located in the casx gene was species-specific and could be used as a specific target gene. Based on these fragments, we established a TaqMan MGB Real-time PCR method for detecting bacteria. We found that the method used in this study had the advantages of high sensitivity and good specificity. Conclusions The casx gene-based method of bacterial identification could be used as a supplement to the conventional 16 s rRNA-based detection method. This method has an advantage over the 16 s rRNA-based detection method in distinguishing the genetic relationship between closely-related bacteria, such as subgroup bacteria, and can be used as a supplement to the 16 s rRNA-based detection method.
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Affiliation(s)
- Xiaoyang Pang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China.,Institute of Food Science and Technology, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Ziyang Jia
- Institute of Food Science and Technology, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Jing Lu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Shuwen Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Cai Zhang
- Laboratory of Environment and Livestock Products, Henan University of Science and Technology, Luoyang, 471023, China
| | - Min Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
| | - Jiaping Lv
- Institute of Food Science and Technology, Chinese Academy of Agricultural Science, Beijing, 100193, China.
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