16 results on '"Yang, Ruifu"'
Search Results
2. Additional file 1 of Aryl hydrocarbon receptor nuclear translocator limits the recruitment and function of regulatory neutrophils against colorectal cancer by regulating the gut microbiota
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Bi, Yujing, Yang, Qiuli, Li, Zhengchao, Wang, Yuexin, Wang, Yufei, Jia, Anna, Pan, Zhiyuan, Yang, Ruifu, and Liu, Guangwei
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Additional file 1: Supplementary Table 1. Primer sequences used for real-time PCR assays.
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- 2023
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3. Additional file 1 of Parvimonas micra activates the Ras/ERK/c-Fos pathway by upregulating miR-218-5p to promote colorectal cancer progression
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Chang, Yuxiao, Huang, Ziran, Hou, Fengyi, Liu, Yuejiao, Wang, Likun, Wang, Zhen, Sun, Yifan, Pan, Zhiyuan, Tan, Yafang, Ding, Lei, Gao, Hong, Yang, Ruifu, and Bi, Yujing
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Additional file 1.
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- 2023
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4. Additional file 1 of Development and multi-center clinical trials of an up-converting phosphor technology-based point-of-care (UPT-POCT) assay for rapid COVID-19 diagnosis and prediction of protective effects
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Zhang, Pingping, Li, Baisheng, Wang, Yao, Min, Wei, Wang, Xiaohui, Zhou, Yugui, Li, Zhencui, Zhao, Yong, Zhang, Huan, Jiang, Min, Zheng, Huanying, Yang, Chao, Zhang, Wei, Zuo, Le, Gao, Qi, Yang, Zhengrong, Li, Yanzhao, Feng, Tiejian, Lin, Changqing, Hu, Qinghua, Song, Tie, and Yang, Ruifu
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Data_FILES - Abstract
Additional file 1.
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- 2022
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5. Proteogenomic discovery of sORF-encoded peptides associated with bacterial virulence in Yersinia pestis
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Chenxi Jia, Chen Shao, Yin Huang, Shiyang Cao, Yang Ruifu, Congli Zhou, Yanfeng Yan, Weimin Zhu, Xinyue Liu, and Du Zongmin
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Proteomics ,congenital, hereditary, and neonatal diseases and abnormalities ,QH301-705.5 ,Virulence Factors ,Yersinia pestis ,Medicine (miscellaneous) ,Virulence ,Proteomic analysis ,Yersinia ,behavioral disciplines and activities ,General Biochemistry, Genetics and Molecular Biology ,Article ,Type three secretion system ,Mice ,Open Reading Frames ,Bacterial Proteins ,Animals ,Biology (General) ,Pathogen ,Proteogenomics ,Genetics ,biology ,musculoskeletal, neural, and ocular physiology ,biology.organism_classification ,Transmembrane protein ,body regions ,Open reading frame ,population characteristics ,Pathogens ,General Agricultural and Biological Sciences ,Peptides - Abstract
Plague caused by Yersinia pestis is one of the deadliest diseases. However, many molecular mechanisms of bacterial virulence remain unclear. This study engaged in the discovery of small open reading frame (sORF)-encoded peptides (SEPs) in Y. pestis. An integrated proteogenomic pipeline was established, and an atlas containing 76 SEPs was described. Bioinformatic analysis indicated that 20% of these SEPs were secreted or localized to the transmembrane and that 33% contained functional domains. Two SEPs, named SEPs-yp1 and -yp2 and encoded in noncoding regions, were selected by comparative peptidomics analysis under host-specific environments and high-salinity stress. They displayed important roles in the regulation of antiphagocytic capability in a thorough functional assay. Remarkable attenuation of virulence in mice was observed in the SEP-deleted mutants. Further global proteomic analysis indicated that SEPs-yp1 and -yp2 affected the bacterial metabolic pathways, and SEP-yp1 was associated with the bacterial virulence by modulating the expression of key virulence factors of the Yersinia type III secretion system. Our study provides a rich resource for research on Y. pestis and plague, and the findings on SEP-yp1 and SEP-yp2 shed light on the molecular mechanism of bacterial virulence., Shiyang Cao, Xinyue Liu, Yin Huang, and Yanfeng Yan et al. utilized an integrated proteogenomic approach to describe an atlas of small open reading frame-encoded peptides (SEPs) in the pathogen, Yersinia pestis. They demonstrate that two of these SEPs are associated with regulation of bacterial virulence, and altogether develop a valuable resource for future research into Y. pestis physiology.
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- 2021
6. Additional file 2 of Human gut-derived B. longum subsp. longum strains protect against aging in a d-galactose-induced aging mouse model
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Xiao, Yue, Yang, Chao, Yu, Leilei, Tian, Fengwei, Wu, Yarong, Zhao, Jianxin, Zhang, Hao, Yang, Ruifu, Chen, Wei, Hill, Colin, Cui, Yujun, and Zhai, Qixiao
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Additional file 1. Supplementary materials.
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- 2021
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7. An Interaction between the Inner Rod Protein YscI and the Needle Protein YscF Is Required to Assemble the Needle Structure of the Yersinia Type Three Secretion System
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Zong-Min Du, Yajun Song, Huiying Yang, Xiaoyi Wang, Yafang Tan, Ting-Ting Zhang, Wan-Bin Liu, Shiyang Cao, Tong Wang, and Yang Ruifu
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0301 basic medicine ,030106 microbiology ,Cell Biology ,Plasma protein binding ,Biology ,Yersinia ,biology.organism_classification ,Biochemistry ,Protein–protein interaction ,Cell biology ,Type three secretion system ,03 medical and health sciences ,030104 developmental biology ,LcrV ,Secretion ,Cell envelope ,Binding site ,Molecular Biology - Abstract
The type III secretion system is a highly conserved virulence mechanism that is widely distributed in Gram-negative bacteria. It has a syringe-like structure composed of a multi-ring basal body that spans the bacterial envelope and a projecting needle that delivers virulence effectors into host cells. Here, we showed that the Yersinia inner rod protein YscI directly interacts with the needle protein YscF inside the bacterial cells and that this interaction depends on amino acid residues 83-102 in the carboxyl terminus of YscI. Alanine substitution of Trp-85 or Ser-86 abrogated the binding of YscI to YscF as well as needle assembly and the secretion of effectors (Yops) and the needle tip protein LcrV. However, yscI null mutants that were trans-complemented with YscI mutants that bind YscF still assembled the needle and secreted Yops, demonstrating that a direct interaction between YscF and YscI is critical for these processes. Consistently, YscI mutants that did not bind YscF resulted in greatly decreased HeLa cell cytotoxicity. Together, these results show that YscI participates in needle assembly by directly interacting with YscF.
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- 2017
8. Hfq Globally Binds and Destabilizes the bound sRNAs and mRNAs in Yersinia pestis
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Zhang Yi, Xue Yaqiang, Yan Yanfeng, Han Yanping, Wang Hongduo, Yang Ruifu, Chen Dong, and Liu Zizhong
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Hfq protein ,Yersinia pestis ,biology ,Chemistry ,RNase P ,Transfer RNA ,biology.protein ,RNA ,RNA-binding protein ,biology.organism_classification ,Gene ,Bacteriophage Qβ ,Cell biology - Abstract
Hfq is a ubiquitous Sm-like RNA binding protein in bacteria involved in physiological fitness and pathogenesis, while its in vivo binding natures still remain elusive. Here we reported the first study of the Hfq-bound RNAs map in Yersinia pestis, the causative agent of a kind of plague, by using Cross-Linking Immunoprecipitation coupled with deep sequencing (CLIP-Seq) approach. We show that Hfq binds over 80% mRNAs of Y. pestis, and also globally binds non-coding sRNAs encoded by the intergenic, antisense, and the 3’ regions of mRNAs. Hfq U-rich stretch is highly enriched in sRNAs, while motifs partially complementary to AGAAUAA and GGGGAUUA are enriched in both mRNAs and sRNAs. Hfq binding motifs are enriched at both terminal sites and in the gene body of mRNAs. Surprisingly, a large fraction of the sRNA and mRNA regions bound by Hfq and those downstream are destabilized, likely via a 5’P-activated RNase E degradation pathway and consistent with Hfq-facilitated sRNA-mRNA base-pairing and the coupled degradation in Y. pestis. These results together have presented a high-quality Hfq-RNA interaction map in Y. pestis, which should be important for further deciphering the regulatory role of Hfq-sRNAs in Y. pestis.AUTHOR SUMMARYDiscovered in 1968 as an Escherichia coli host factor that was essential for replication of the bacteriophage Qβ, the Hfq protein is a ubiquitous and highly abundant RNA binding protein in many bacteria. Under the assistance of Hfq, small RNAs in bacteria play important role in regulating the stability and translation of mRNAs by base-pairing. In this study, we want to elucidate the Hfq assisted sRNA-mRNA regulation in Yersinia pestis. A global map of Hfq interaction sites in Y. pestis was obtained by sequencing of cDNAs converted from the Hfq-bound RNA fragments using UV cross-linking coupled immunoprecipitation technology. We demonstrate that Hfq could hundreds of sRNAs and the majority of mRNAs in living Y. pestis. The enriched binding motifs in sRNAs and mRNA are significantly complementary to each other, suggesting a general base-pairing mechanism for sRNA-mRNA interaction. The Hfq-bound sRNA and mRNA regions were both destabilized. The results suggest that Hfq binding facilitates sRNA-mRNA base-pairing and coordinates their degradation, which might enable Hfq to surveil the hemostasis of most mRNAs in bacteria.
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- 2018
9. Polymerase chain reaction analysis of laboratory generated bioaerosols
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Zhai Junhui, Chen Meiling, Yang Ruifu, Che Fengxiang, and Cui Hong
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biology ,Immunology ,Indoor bioaerosol ,Polymerase chain reaction analysis ,Plant Science ,biology.organism_classification ,DNA sequencing ,Microbiology ,law.invention ,Cellular dna ,law ,Immunology and Allergy ,Francisella tularensis ,Organism ,Aerosolization ,Polymerase chain reaction - Abstract
The common methods for analyzing bioaerosols are based on maintaining organism viability and quantifying culturability which may result in the underestimation of microbial concentrations. The present study employed a well-developed technique that only requires cellular DNA to identify organisms. Polymerase chain reaction (PCR) was chosen to amplify specific DNA sequence from an organism, to detect and semi-quantify organisms. Suspensions ofFrancisella tularensis were aerosolized in a chamber, and air samples were collected using impingers. Samples were analyzed using limiting dilution PCR, and the results compared with those from a traditional plate counting. Results indicated that the limiting dilution PCR provides a new way to identify and quantify bioaerosols that does not rely on viability and culturability. Therefore, the method would provide a more reliable estimate of airborne bacterial concentrations compared to traditional plate counts.
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- 1997
10. Biovar Diversity Is Reflected by Variations of Genes Encoding Urease ofUreaplasma urealyticum
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Yang Ruifu, Zhang Minli, Wang Xiaohui, and Guo Zhaobiao
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Serotype ,Biovar ,Immunology ,Mycoplasmataceae ,urologic and male genital diseases ,medicine.disease_cause ,Polymerase Chain Reaction ,Microbiology ,fluids and secretions ,Virology ,medicine ,Genetic variability ,Gene ,DNA Primers ,Genetics ,biology ,Genetic Variation ,Ribosomal RNA ,bacterial infections and mycoses ,biology.organism_classification ,Urease ,female genital diseases and pregnancy complications ,Genes, Bacterial ,Mollicutes ,bacteria ,Ureaplasma urealyticum - Abstract
Five oligonucleotide primers derived from the gene encoding urease of Ureaplasma urealyticum were designed to evaluate the relationship between the urease gene and biovar diversity of this organism. Five combinations of these primers were tested by PCR and the result revealed that there were variations in urease genes among different serovars of U. urealyticum. This result, in agreement with other PCRs based on other functionally unrelated (rRNA and MB antigen) genes, may reflect the phylogenetic relationship among organisms taxonomically classified as U. urealyticum.
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- 1997
11. Complete genome sequence of Yersinia pestis strain 91001, an isolate avirulent to humans
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Song, Yajun, Tong, Zongzhong, Wang, Jin, Wang, Li, Guo, Zhaobiao, Han, Yanpin, Zhang, Jianguo, Pei, Decui, Zhou, Dongsheng, Qin, Haiou, Pang, Xin, Han, Yujun, Zhai, Junhui, Li, Min, Cui, Baizhong, Qi, Zhizhen, Jin, Lixia, Dai, Ruixia, Chen, Feng, Li, Shengting, Ye, Chen, Du, Zongmin, Lin, Wei, Wang, Jun, Yu, Jun, Yang, Huanming, Wang, Jian, Huang, Peitang, and Yang, Ruifu
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Yersinia pestis ,Carbohydrate Metabolism ,Computational Biology ,Humans ,Sequence Analysis, DNA ,Physical Chromosome Mapping ,Genome, Bacterial ,Pseudogenes ,Plasmids - Abstract
Genomics provides an unprecedented opportunity to probe in minute detail into the genomes of the world's most deadly pathogenic bacteria- Yersinia pestis. Here we report the complete genome sequence of Y. pestis strain 91001, a human-avirulent strain isolated from the rodent Brandt's vole-Microtus brandti. The genome of strain 91001 consists of one chromosome and four plasmids (pPCP1, pCD1, pMT1 and pCRY). The 9609-bp pPCP1 plasmid of strain 91001 is almost identical to the counterparts from reference strains (CO92 and KIM). There are 98 genes in the 70,159-bp range of plasmid pCD1. The 106,642-bp plasmid pMT1 has slightly different architecture compared with the reference ones. pCRY is a novel plasmid discovered in this work. It is 21,742 bp long and harbors a cryptic type IV secretory system. The chromosome of 91001 is 4,595,065 bp in length. Among the 4037 predicted genes, 141 are possible pseudo-genes. Due to the rearrangements mediated by insertion elements, the structure of the 91001 chromosome shows dramatic differences compared with CO92 and KIM. Based on the analysis of plasmids and chromosome architectures, pseudogene distribution, nitrate reduction negative mechanism and gene comparison, we conclude that strain 91001 and other strains isolated from M. brandti might have evolved from ancestral Y. pestis in a different lineage. The large genome fragment deletions in the 91001 chromosome and some pseudogenes may contribute to its unique nonpathogenicity to humans and host-specificity. Udgivelsesdato: 2004-Jun-30
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- 2004
12. Detection of Francisella tularensis by the polymerase chain reaction
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Zhai Junhui, Zhang Songle, Chen Meiling, Yang Ruifu, Che Fengxiang, Cui Hong, and Lu Jianchun
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Microbiology (medical) ,DNA, Bacterial ,medicine.drug_class ,Antibiotics ,Restriction Mapping ,Air Microbiology ,Spleen ,Microbiology ,Polymerase Chain Reaction ,Sensitivity and Specificity ,Epitope ,law.invention ,chemistry.chemical_compound ,Mice ,law ,medicine ,Animals ,Francisella tularensis ,Tularemia ,Polymerase chain reaction ,DNA Primers ,Aerosols ,biology ,Nucleic acid sequence ,Nucleic Acid Hybridization ,General Medicine ,biology.organism_classification ,Virology ,Specific Pathogen-Free Organisms ,medicine.anatomical_structure ,chemistry ,Liver ,DNA ,Bacteria - Abstract
Francisella tularensis is the causative agent of tularaemia. Effective antibiotic treatment of tularaemia is now available, but the early diagnosis of tularaemia remains a problem. Four primers (three pairs) were designed to detect F. tularensis by the polymerase chain reaction (PCR), based on the previously published nucleotide sequence of T-cell epitopes of a F. tularensis membrane protein. Amplification of purified F. tularensis chromosomal DNA with the three pairs of primers resulted in three different products with sizes consistent with those predicted from sequence data (211 bp, 347 bp and 568 bp). The specificity of the PCR was confirmed as no amplification was detected with a range of other bacteria. The sensitivity of the PCR was determined with limiting dilution PCR and viable counts. The preliminary application of the PCR to the detection of F. tularensis in aerosols and experimentally infected mice was investigated. Comparison of the results with those from traditional culture indicated that PCR was more sensitive. The animal challenge test showed that, 24 h after inoculation with 15 cfu of F. tularensis, 38 (82.6%) of 46 blood samples were positive by PCR, whereas only 22 (47.8%) were positive by culture. The results showed that PCR is a helpful tool for the detection of F. tularensis in blood, liver and spleen which should enable the rapid confirmation of clinical diagnoses of tularaemia.
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- 1996
13. Complete genome sequences of the SARS-CoV: The BJ Group (Isolates BJ01-BJ04)
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Bi, Shengli, Qin, E., Xu, Zuyuan, Li, Wei, Wang, Jing, Hu, Yongwu, Liu, Yong, Duan, Shumin, Hu, Jianfei, Han, Yujun, Xu, Jing, Li, Yan, Yi, Yao, Zhou, Yongdong, Wen, Jie, Xu, Hong, Li, Ruan, Zhang, Zizhang, Sun, Haiyan, Zhu, Jingui, Yu, Man, Fan, Baochang, Wu, Qingfa, Lin, Wei, Tang, Lin, Yang, Bao An, Li, Guoqing, Peng, Wenming, Li, Wenjie, Jiang, Tao, Deng, Yajun, Liu, Bohua, Shi, Jianping, Deng, Yongqiang, Wei, Wei, Liu, Hong, Tong, Zongzhong, Zhang, Feng, Zhang, Yu, Wang, Cui E., Li, Yuquan, Ye, Jia, Gan, Yonghua, Ji, Jia, Li, Xiaoyu, Tian, Xiangjun, Lu, Fushuang, Tan, Gang, Yang, Ruifu, Liu, Bin, Liu, Siqi, Li, Songgang, Jun Wang, Wang, Jian, Cao, Wuchun, Yu, Jun, Dong, Xiaoping, and Yang, Huanming
14. Real-time polymerase chain reaction for detecting SARS coronavirus, Beijing, 2003
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Zhai, Junhui, Briese, Thomas, Dai, Erhei, Wang, Xiaoyi, Pang, Xin, Du, Zongmin, Liu, Haihong, Wang, Jin, Wang, Hongxia, Guo, Zhaobiao, Chen, Zeliang, Jiang, Lingxiao, Zhou, Dongsheng, Han, Yanping, Jabado, Omar J., Palacios, Gustavo F., Lipkin, W. Ian, and Yang, Ruifu
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body regions ,Epidemiology ,Coronaviruses ,viruses ,Virology ,fungi ,SARS (Disease) ,skin and connective tissue diseases ,3. Good health - Abstract
During the 2003 severe acute respiratory syndrome (SARS) outbreak, a real-time quantitative polymerase chain reaction, which targets the nucleocapsid gene at the 3′-end of the viral genome, was established to detect and identify the SARS-associated coronavirus. We describe the use of this assay to screen >700 clinical samples.
15. Validation and Reference Materials for Microbial Forensics
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Clements, John D., Alam, Munirul, Budowle, Bruce, Chun, Jongsik, Colwell, Rita R., Connell, Nancy D., Keim, Paul, Ma, Juncai, Markotic, Alemka, Smith, Geoffrey, Sharples, Frances E., Husbands, Jo L., Anderson, Carl, Ogilvie, Jenna, Rusek, Benjamin, White, Kristin, Collins, James P., Bond, Enriqueta C., Cone, Roger D., Eddy, Sean, Elgin, Sarah C. R., Franz, David R., Gross, Louis J., Heitman, Elizabeth, Hildebrand, John G., Johnson, Richard A., Kimble, Judith, Laurencin, Cato T., Leshner, Alan I., Nelson, Karen E., Nerem, Robert M., Parmesan, Camille, Power, Alison G., Riley, Margaret, Weeks, Janis C., Woolley, Mary, Labov, Jay B., Bowman, Katherine W., Hook-Barnard, India, Shelton-Davenport, Marilee K., Sawyer, Keegan, Mekasha, Bethelhem, Kolesnikova, Angela, Soni, Lauren, Bielecka, Anna, Bukari, Habib, Bukovski, Suzana, Buxton, Elinor, Casagrande, Rocco, Corbett, Cindi, Darling, Aaron, Dees, Peter, Dekaris, Dragan, Dukic, Jelena, Flanagan, Meg, Forsman, Mats, Gonzalez Candelas, Fernando, Hamilton, Adam, Harmsen, Dag, Ivanus, Ninja, Jones, Franca, Josseran, Loic, Kadavy, Dana, Karunasagar, Indrani, Kiselev, Oleg I., Kuhn, Jens H., Kusic, Zvonko, Pin, Raymond Lin Tzer, Mayers, Carl N., Miller, Lorna, Millet, Piers, Morse, Stephen, Murch, Randall, Nozica, Zarko, Pecina, Marko, Perkins, Dana, Pourcel, Christine, Primorac, Dragan, Rees, Cerys, Rhie, Gi-Eun, Rudan, Pavao, Santic, Marina, Sudoyo, Herawati, Tadin, Ante, Gabriel Trueba, Vergnaud, Gilles, Vince, Adriana, Vipond, Richard, Vynograd, Natalia, Watanabe, Haruo, and Yang, Ruifu
16. Relevant units of analysis for applied and basic research dealing with neglected transmissible diseases: The predominant clonal evolution model of pathogenic microorganisms
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Michel Tibayrenc, Francisco J. Ayala, Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), University of California [Irvine] (UC Irvine), University of California (UC), University of California [Irvine] (UCI), University of California, and Yang, Ruifu
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Evolutionary Genetics ,0301 basic medicine ,Epidemiology ,Population genetics ,Review ,Biochemistry ,Medical and Health Sciences ,Somatic evolution in cancer ,Microbial ,0302 clinical medicine ,Fungal Evolution ,Medicine and Health Sciences ,Data Management ,Molecular Epidemiology ,lcsh:Public aspects of medicine ,[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] ,Neglected Diseases ,Biological Sciences ,Unit of analysis ,3. Good health ,Phylogenetics ,Nucleic acids ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,Infectious Diseases ,Viral evolution ,Neglected tropical diseases ,Infection ,Biotechnology ,Genetics, Microbial ,Computer and Information Sciences ,lcsh:Arctic medicine. Tropical medicine ,DNA recombination ,Evolution ,lcsh:RC955-962 ,Population ,030231 tropical medicine ,Mycology ,Biology ,Microbiology ,Communicable Diseases ,Viral Evolution ,Evolution, Molecular ,03 medical and health sciences ,Virology ,Tropical Medicine ,Genetics ,Humans ,Evolutionary Systematics ,Parasite Evolution ,Taxonomy ,Evolutionary Biology ,Population Biology ,Human evolutionary genetics ,Public Health, Environmental and Occupational Health ,Biology and Life Sciences ,Molecular ,lcsh:RA1-1270 ,DNA ,Organismal Evolution ,Field (geography) ,Genetics, Population ,030104 developmental biology ,Evolutionary biology ,Microbial Evolution ,Parasitology ,Population Genetics - Abstract
International audience; The predominant clonal evolution (PCE) model seeks to formulate a common population genetics framework for all micropathogens (namely, parasitic protozoa, fungi and yeasts, bacteria, and viruses). It relies on a definition of clonality that is only based on population structure features (namely, strongly restrained genetic recombination). Its clear-cut properties make it of strong interest for applied and basic research, since it permits the definition of stable, clearly delimited units of analysis below the species level: clonal genotypes and discrete genetic subdivisions ("near-clades"). These units of analysis can be used for clinical and epidemiological studies, vaccine and drug design, species description, and evolutionary studies on natural and experimental populations. In this review, the evolutionary and population genetics background of the model will be only briefly mentioned, while considerable emphasis will be given to its practical significance for the study and control of neglected tropical diseases. The goal of the paper is to make this practical usefulness accessible to a broad audience of readers, including scientists who are not evolution specialists, such as epidemiologists, field scientists, and clinicians. For extensive developments about the evolutionary background of the model, see our previous papers [1-9]. Citations of these former articles lead to the many references quoted in them, which cannot be listed again here. Methods: Brief recall of the PCE model and how it has been designed The PCE model of pathogenic microorganisms explores the population structure and evolution of whole, presently described species in their complete ecogeographical range in the long term. It aims at evaluating to what extent genetic recombination is inhibited in the species PLOS Neglected Tropical Diseases | https://doi.
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- 2017
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