1
|
Xiong X, Gou J, Liao Q, Li Y, Zhou Q, Bi G, Li C, Du R, Wang X, Sun T, Guo L, Liang H, Lu P, Wu Y, Zhang Z, Ro DK, Shang Y, Huang S, Yan J. The Taxus genome provides insights into paclitaxel biosynthesis. NATURE PLANTS 2021; 7:1026-1036. [PMID: 34267359 PMCID: PMC8367818 DOI: 10.1038/s41477-021-00963-5] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 06/10/2021] [Indexed: 05/20/2023]
Abstract
The ancient gymnosperm genus Taxus is the exclusive source of the anticancer drug paclitaxel, yet no reference genome sequences are available for comprehensively elucidating the paclitaxel biosynthesis pathway. We have completed a chromosome-level genome of Taxus chinensis var. mairei with a total length of 10.23 gigabases. Taxus shared an ancestral whole-genome duplication with the coniferophyte lineage and underwent distinct transposon evolution. We discovered a unique physical and functional grouping of CYP725As (cytochrome P450) in the Taxus genome for paclitaxel biosynthesis. We also identified a gene cluster for taxadiene biosynthesis, which was formed mainly by gene duplications. This study will facilitate the elucidation of paclitaxel biosynthesis and unleash the biotechnological potential of Taxus.
Collapse
Affiliation(s)
- Xingyao Xiong
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Junbo Gou
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Qinggang Liao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yanlin Li
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Engineering Research Center for Horticultural Crop Germplasm Creation and New Variety Breeding, Ministry of Education, Changsha, China
| | - Qian Zhou
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Peng Cheng Laboratory Artificial Intelligence Research Center No. 2, Shenzhen, China
| | - Guiqi Bi
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Chong Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Ran Du
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xiaotong Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Tianshu Sun
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Lvjun Guo
- MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China
| | - Haifei Liang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Pengjun Lu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yaoyao Wu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhonghua Zhang
- College of Horticulture, Qingdao Agricultural University, Qingdao, China
| | - Dae-Kyun Ro
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Yi Shang
- The AGISCAAS-YNNU Joint Academy of Potato Sciences, Yunnan Normal University, Kunming, China
| | - Sanwen Huang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| | - Jianbin Yan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen Key Laboratory of Agricultural Synthetic Biology, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| |
Collapse
|
2
|
Sunny JS, Nisha K, Natarajan A, Saleena LM. IND-enzymes: a repository for hydrolytic enzymes derived from thermophilic and psychrophilic bacterial species with potential industrial usage. Extremophiles 2021; 25:319-325. [PMID: 33961119 DOI: 10.1007/s00792-021-01231-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/22/2021] [Indexed: 10/21/2022]
Abstract
Biocatalysts provide many advantages over the traditional chemically assisted processes prevalent in industries. Consequently, the search for novel enzymes has increased over the years with a renewed interest in thermophilic and psychrophilic bacterial species. Enzymes or extremozymes extracted from such species have exhibited an affinity to extreme temperatures which is a prerequisite for many industrial applications. However, utilisation of these enzymes faces a major bottleneck. The distribution of sequence data associated with thermophiles and psychrophiles is overwhelming, spanning various databases and scientific literature. Based on more than 100 publications and genomes from over 300 thermophilic and psychrophilic bacterial species, we have constructed the database IND-Enzymes (indenzymes.srmist.edu.in). This database consists of over 20,120 nucleotide and protein sequences belonging to the hydrolytic enzyme class lipase, protease, esterase and amylase. Users can access over 100 published enzymes, 200 PDB structural data. Enzymes derived from genomes can be directly downloaded and users can also access the entire annotation data derived from species individually. Along with an alignment tool and python based pipelines, IND-Enzymes serves as the largest sequence repository for hydrolytic enzymes from thermophilic and psychrophilic bacterial species. This database showcases resources that are essential for protein engineering of hot-cold stable enzymes.
Collapse
Affiliation(s)
- Jithin S Sunny
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Room no. 508, SRM Nagar, Kattankulathur, 603203, Kanchipuram, TN, India
| | - Khairun Nisha
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Room no. 508, SRM Nagar, Kattankulathur, 603203, Kanchipuram, TN, India
| | - Anuradha Natarajan
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Room no. 508, SRM Nagar, Kattankulathur, 603203, Kanchipuram, TN, India
| | - Lilly M Saleena
- Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Room no. 508, SRM Nagar, Kattankulathur, 603203, Kanchipuram, TN, India.
| |
Collapse
|
3
|
Zhao Y, Zuo X, Li Q, Chen F, Chen YR, Deng J, Han D, Hao C, Huang F, Huang Y, Ke G, Kuang H, Li F, Li J, Li M, Li N, Lin Z, Liu D, Liu J, Liu L, Liu X, Lu C, Luo F, Mao X, Sun J, Tang B, Wang F, Wang J, Wang L, Wang S, Wu L, Wu ZS, Xia F, Xu C, Yang Y, Yuan BF, Yuan Q, Zhang C, Zhu Z, Yang C, Zhang XB, Yang H, Tan W, Fan C. Nucleic Acids Analysis. Sci China Chem 2020; 64:171-203. [PMID: 33293939 PMCID: PMC7716629 DOI: 10.1007/s11426-020-9864-7] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/04/2020] [Indexed: 12/11/2022]
Abstract
Nucleic acids are natural biopolymers of nucleotides that store, encode, transmit and express genetic information, which play central roles in diverse cellular events and diseases in living things. The analysis of nucleic acids and nucleic acids-based analysis have been widely applied in biological studies, clinical diagnosis, environmental analysis, food safety and forensic analysis. During the past decades, the field of nucleic acids analysis has been rapidly advancing with many technological breakthroughs. In this review, we focus on the methods developed for analyzing nucleic acids, nucleic acids-based analysis, device for nucleic acids analysis, and applications of nucleic acids analysis. The representative strategies for the development of new nucleic acids analysis in this field are summarized, and key advantages and possible limitations are discussed. Finally, a brief perspective on existing challenges and further research development is provided.
Collapse
Affiliation(s)
- Yongxi Zhao
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, 710049 China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Qian Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Feng Chen
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, 710049 China
| | - Yan-Ru Chen
- Cancer Metastasis Alert and Prevention Center, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou, 350108 China
| | - Jinqi Deng
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| | - Da Han
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Changlong Hao
- State Key Lab of Food Science and Technology, International Joint Research Laboratory for Biointerface and Biodetection, School of Food Science and Technology, Jiangnan University, Wuxi, 214122 China
| | - Fujian Huang
- Faculty of Materials Science and Chemistry, Engineering Research Center of Nano-Geomaterials of Ministry of Education, China University of Geosciences, Wuhan, 430074 China
| | - Yanyi Huang
- College of Chemistry and Molecular Engineering, Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Guoliang Ke
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082 China
| | - Hua Kuang
- State Key Lab of Food Science and Technology, International Joint Research Laboratory for Biointerface and Biodetection, School of Food Science and Technology, Jiangnan University, Wuxi, 214122 China
| | - Fan Li
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Jiang Li
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800 China
- Bioimaging Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210 China
| | - Min Li
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Na Li
- College of Chemistry, Chemical Engineering and Materials Science, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Normal University, Jinan, 250014 China
| | - Zhenyu Lin
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350116 China
| | - Dingbin Liu
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin, 300071 China
| | - Juewen Liu
- Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1 Canada
| | - Libing Liu
- Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190 China
- College of Chemistry, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Xiaoguo Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Chunhua Lu
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350116 China
| | - Fang Luo
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350116 China
| | - Xiuhai Mao
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Jiashu Sun
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| | - Bo Tang
- College of Chemistry, Chemical Engineering and Materials Science, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Normal University, Jinan, 250014 China
| | - Fei Wang
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Jianbin Wang
- School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Advanced Innovation Center for Structural Biology (ICSB), Chinese Institute for Brain Research (CIBR), Tsinghua University, Beijing, 100084 China
| | - Lihua Wang
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800 China
- Bioimaging Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210 China
| | - Shu Wang
- Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1 Canada
| | - Lingling Wu
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Zai-Sheng Wu
- Cancer Metastasis Alert and Prevention Center, Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou, 350108 China
| | - Fan Xia
- Faculty of Materials Science and Chemistry, Engineering Research Center of Nano-Geomaterials of Ministry of Education, China University of Geosciences, Wuhan, 430074 China
| | - Chuanlai Xu
- State Key Lab of Food Science and Technology, International Joint Research Laboratory for Biointerface and Biodetection, School of Food Science and Technology, Jiangnan University, Wuxi, 214122 China
| | - Yang Yang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Bi-Feng Yuan
- Department of Chemistry, Wuhan University, Wuhan, 430072 China
| | - Quan Yuan
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082 China
| | - Chao Zhang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Zhi Zhu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005 China
| | - Chaoyong Yang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005 China
| | - Xiao-Bing Zhang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082 China
| | - Huanghao Yang
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350116 China
| | - Weihong Tan
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082 China
| | - Chunhai Fan
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240 China
| |
Collapse
|
4
|
Angelakis E, Bachar D, Yasir M, Musso D, Djossou F, Melenotte C, Robert C, Davoust B, Gaborit B, Azhar E, Bibi F, Dutour A, Raoult D. Comparison of the gut microbiota of obese individuals from different geographic origins. New Microbes New Infect 2019; 27:40-47. [PMID: 30581574 PMCID: PMC6296163 DOI: 10.1016/j.nmni.2018.11.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 11/14/2018] [Indexed: 01/19/2023] Open
Abstract
Few studies have examined the interaction of human geography, microbial community structure and obesity. We tested obese adult volunteers from France, Saudi Arabia, French Polynesia and from a traditional population in the village of Trois-Sauts in French Guiana by sequencing the V3-V4 region. We also sequenced homemade fermented cachiri beers that were obtained from the traditional Amazonian population and are highly consumed by this population. We found that French and Saudis had significantly less richness and biodiversity in their gut microbiota than Amazonians and Polynesians (p <0.05). Principle coordinate analysis of the overall composition of the genera communities revealed that the microbiomes of Amazonians clustered independently from the other obese individuals. Moreover, we found that Amazonians presented significantly stricter anaerobic genera than the Saudis, French and Polynesians (p < 0.001). Polynesians presented significantly lower relative abundance of Lactobacillus sp. than French (p 0.01) and Saudis (p 0.05). Treponema berlinense and Treponema succinifaciens were only present in the gut microbiome of Amazonians. The cachiri beers presented significantly more bacterial species in common with the gut microbiome of Amazonians (p < 0.005). Obese individuals with different origins present modifications in their gut microbiota, and we provide evidence that the cachiri beers influenced the gut microbiome of Amazonians.
Collapse
Affiliation(s)
- E. Angelakis
- Aix Marseille Université, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
- Laboratory of Medical Microbiology, Hellenic Pasteur Institute, Athens, Greece
| | - D. Bachar
- Aix Marseille Université, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
| | - M. Yasir
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - D. Musso
- Unit of Emerging Infectious Diseases, Institut Louis Malardé, Tahiti, French Polynesia
| | - F. Djossou
- Centre Hospitalier de Cayenne Andree Rosemon, Cayenne, French Guiana
| | - C. Melenotte
- Aix Marseille Université, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
| | - C. Robert
- Aix Marseille Université, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
| | - B. Davoust
- Aix Marseille Université, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
| | - B. Gaborit
- Department of Endocrinology, Metabolic Diseases and Nutrition, CHU Nord, Marseille, France
- Inserm U1062, INRA U1260, Faculté de Médecine, Marseille, France
| | - E.I. Azhar
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - F. Bibi
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - A. Dutour
- Department of Endocrinology, Metabolic Diseases and Nutrition, CHU Nord, Marseille, France
- Inserm U1062, INRA U1260, Faculté de Médecine, Marseille, France
| | - D. Raoult
- Aix Marseille Université, IRD, APHM, VITROME, IHU-Méditerranée Infection, Marseille, France
| |
Collapse
|
5
|
Malikanti R, Vadija R, Veeravarapu H, Mustyala KK, Malkhed V, Vuruputuri U. Identification of small molecular ligands as potent inhibitors of fatty acid metabolism in Mycobacterium tuberculosis. J Mol Struct 2017. [DOI: 10.1016/j.molstruc.2017.08.090] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
|
6
|
Vos RA, Balhoff JP, Caravas JA, Holder MT, Lapp H, Maddison WP, Midford PE, Priyam A, Sukumaran J, Xia X, Stoltzfus A. NeXML: rich, extensible, and verifiable representation of comparative data and metadata. Syst Biol 2012; 61:675-89. [PMID: 22357728 PMCID: PMC3376374 DOI: 10.1093/sysbio/sys025] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2011] [Revised: 07/29/2011] [Accepted: 02/07/2012] [Indexed: 12/13/2022] Open
Abstract
In scientific research, integration and synthesis require a common understanding of where data come from, how much they can be trusted, and what they may be used for. To make such an understanding computer-accessible requires standards for exchanging richly annotated data. The challenges of conveying reusable data are particularly acute in regard to evolutionary comparative analysis, which comprises an ever-expanding list of data types, methods, research aims, and subdisciplines. To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats. By relying on XML Schema Definition, the design of NeXML facilitates the development and deployment of software for processing, transforming, and querying documents. The adoption of NeXML for practical use is facilitated by the availability of (1) an online manual with code samples and a reference to all defined elements and attributes, (2) programming toolkits in most of the languages used commonly in evolutionary informatics, and (3) input-output support in several widely used software applications. An active, open, community-based development process enables future revision and expansion of NeXML.
Collapse
|
7
|
Grewe J, Wachtler T, Benda J. A Bottom-up Approach to Data Annotation in Neurophysiology. Front Neuroinform 2011; 5:16. [PMID: 21941477 PMCID: PMC3171061 DOI: 10.3389/fninf.2011.00016] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2010] [Accepted: 08/12/2011] [Indexed: 11/13/2022] Open
Abstract
Metadata providing information about the stimulus, data acquisition, and experimental conditions are indispensable for the analysis and management of experimental data within a lab. However, only rarely are metadata available in a structured, comprehensive, and machine-readable form. This poses a severe problem for finding and retrieving data, both in the laboratory and on the various emerging public data bases. Here, we propose a simple format, the "open metaData Markup Language" (odML), for collecting and exchanging metadata in an automated, computer-based fashion. In odML arbitrary metadata information is stored as extended key-value pairs in a hierarchical structure. Central to odML is a clear separation of format and content, i.e., neither keys nor values are defined by the format. This makes odML flexible enough for storing all available metadata instantly without the necessity to submit new keys to an ontology or controlled terminology. Common standard keys can be defined in odML-terminologies for guaranteeing interoperability. We started to define such terminologies for neurophysiological data, but aim at a community driven extension and refinement of the proposed definitions. By customized terminologies that map to these standard terminologies, metadata can be named and organized as required or preferred without softening the standard. Together with the respective libraries provided for common programming languages, the odML format can be integrated into the laboratory workflow, facilitating automated collection of metadata information where it becomes available. The flexibility of odML also encourages a community driven collection and definition of terms used for annotating data in the neurosciences.
Collapse
Affiliation(s)
- Jan Grewe
- Department Biology II, Ludwig-Maximilians Universität München Martinsried, Germany
| | | | | |
Collapse
|
8
|
|
9
|
Adebusoye SA, Picardal FW, Ilori MO, Amund OO, Fuqua C, Grindle N. Aerobic degradation of di- and trichlorobenzenes by two bacteria isolated from polluted tropical soils. CHEMOSPHERE 2007; 66:1939-46. [PMID: 16962633 DOI: 10.1016/j.chemosphere.2006.07.074] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2006] [Revised: 07/18/2006] [Accepted: 07/26/2006] [Indexed: 05/11/2023]
Abstract
Two polychlorinated biphenyl (PCBs)-degrading bacteria were isolated by traditional enrichment technique from electrical transformer fluid (Askarel)-contaminated soils in Lagos, Nigeria. They were classified and identified as Enterobacter sp. SA-2 and Pseudomonas sp. SA-6 on the basis of 16S rRNA gene analysis, in addition to standard cultural and biochemical techniques. The strains were able to grow extensively on dichloro- and trichlorobenzenes. Although they failed to grow on tetrachlorobenzenes, monochloro- and dichlorobenzoic acids, they were able to utilize all monochlorobiphenyls, and some dichlorobiphenyls as sole sources of carbon and energy. The effect of incubation with axenic cultures on the degradation of 0.9 mM 1,4-dichlorobenzene, 0.44 mM 1,2,3- and 0.43 mM 1,3,5-trichlorobenzene in mineral salts medium was studied. Approximately, 80-90% of these xenobiotics were degraded in 200 h, concomitant with cell increase of up to three orders of magnitude, while generation times ranged significantly (P<0.05) from 17-32 h. Catechol 1,2-dioxygenase and catechol 2,3-dioxygenase activities were detected in crude cell-free extracts of cultures pre-grown with benzoate, with the latter enzyme exhibiting a slightly higher activity (0.15-0.17 micromolmin(-1) mg of protein(-1)) with catechol, suggesting that the meta-cleavage pathway is the most readily available catabolic route in the SA strains. The wider substrate specificity of these tropical isolates may help in assessing natural detoxification processes and in designing bioremediation and bioaugmentation methods.
Collapse
Affiliation(s)
- Sunday A Adebusoye
- Department of Botany and Microbiology, University of Lagos, Lagos, Nigeria
| | | | | | | | | | | |
Collapse
|
10
|
|
11
|
Curwen V, Eyras E, Andrews TD, Clarke L, Mongin E, Searle SMJ, Clamp M. The Ensembl automatic gene annotation system. Genome Res 2004; 14:942-50. [PMID: 15123590 PMCID: PMC479124 DOI: 10.1101/gr.1858004] [Citation(s) in RCA: 319] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
As more genomes are sequenced, there is an increasing need for automated first-pass annotation which allows timely access to important genomic information. The Ensembl gene-building system enables fast automated annotation of eukaryotic genomes. It annotates genes based on evidence derived from known protein, cDNA, and EST sequences. The gene-building system rests on top of the core Ensembl (MySQL) database schema and Perl Application Programming Interface (API), and the data generated are accessible through the Ensembl genome browser (http://www.ensembl.org). To date, the Ensembl predicted gene sets are available for the A. gambiae, C. briggsae, zebrafish, mouse, rat, and human genomes and have been heavily relied upon in the publication of the human, mouse, rat, and A. gambiae genome sequence analysis. Here we describe in detail the gene-building system and the algorithms involved. All code and data are freely available from http://www.ensembl.org.
Collapse
Affiliation(s)
- Val Curwen
- The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | | | | | | | | | | | | |
Collapse
|
12
|
Sperisen P, Iseli C, Pagni M, Stevenson BJ, Bucher P, Jongeneel CV. trome, trEST and trGEN: databases of predicted protein sequences. Nucleic Acids Res 2004; 32:D509-11. [PMID: 14681469 PMCID: PMC308801 DOI: 10.1093/nar/gkh067] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
We previously introduced two new protein databases (trEST and trGEN) of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Here, we present the updates made on these two databases plus a new database (trome), which uses alignments of EST data to HTG or full genomes to generate virtual transcripts and coding sequences. This new database is of higher quality and since it contains the information in a much denser format it is of much smaller size. These new databases are in a Swiss-Prot-like format and are updated on a weekly basis (trEST and trGEN) or every 3 months (trome). They can be downloaded by anonymous ftp from ftp://ftp.isrec.isb-sib.ch/pub/databases.
Collapse
Affiliation(s)
- Peter Sperisen
- Swiss Institute of Bioinformatics, Ludwig Institute for Cancer Research, Chemin des Boveresses 155, 1066 Epalinges s/Lausanne, Switzerland.
| | | | | | | | | | | |
Collapse
|
13
|
Rapp P, Gabriel-Jürgens LHE. Degradation of alkanes and highly chlorinated benzenes, and production of biosurfactants, by a psychrophilic Rhodococcus sp. and genetic characterization of its chlorobenzene dioxygenase. Microbiology (Reading) 2003; 149:2879-2890. [PMID: 14523120 DOI: 10.1099/mic.0.26188-0] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Rhodococcus sp. strain MS11 was isolated from a mixed culture. It displays a diverse range of metabolic capabilities. During growth on 1,2,4-trichlorobenzene, 1,2,4,5-tetrachlorobenzene (1,2,4,5-TeCB) and 3-chlorobenzoate stoichiometric amounts of chloride were released. It also utilized all three isomeric dichlorobenzenes and 1,2,3-trichlorobenzene as the sole carbon and energy source. Furthermore, the bacterium grew well on a great number of n-alkanes ranging from n-heptane to n-triacontane and on the branched alkane 2,6,10,14-tetramethylpentadecane (pristane) and slowly on n-hexane and n-pentatriacontane. It was able to grow at temperatures from 5 to 30 °C, with optimal growth at 20 °C, and could tolerate 6 % NaCl in mineral salts medium. Genes encoding the initial chlorobenzene dioxygenase were detected by using a primer pair that was designed against the α-subunit (TecA1) of the chlorobenzene dioxygenase of Ralstonia (formerly Burkholderia) sp. strain PS12. The amino acid sequence of the amplified part of the α-subunit of the chlorobenzene dioxygenase of Rhodococcus sp. strain MS11 showed >99 % identity to the α-subunit of the chlorobenzene dioxygenase from Ralstonia sp. strain PS12 and the parts of both α-subunits responsible for substrate specificity were identical. The subsequent enzymes dihydrodiol dehydrogenase and chlorocatechol 1,2-dioxygenase were induced in cells grown on 1,2,4,5-TeCB. During cultivation on medium-chain-length n-alkanes ranging from n-decane to n-heptadecane, including 1-hexadecene, and on the branched alkane pristane, strain MS11 produced biosurfactants lowering the surface tension of the cultures from 72 to ⩽29 mN m−1. Glycolipids were extracted from the supernatant of a culture grown on n-hexadecane and characterized by 1H- and 13C-NMR-spectroscopy and mass spectrometry. The two major components consisted of α,α-trehalose esterified at C-2 or C-4 with a succinic acid and at C-2′ with a decanoic acid. They differed from one another in that one 2,3,4,2′-trehalosetetraester, found in higher concentration, was esterified at C-2, C-3 or C-4 with one octanoic and one decanoic acid and the other one, of lower concentration, with two octanoic acids. The results demonstrate that Rhodococcus sp. strain MS11 may be well suited for bioremediation of soils and sediments contaminated for a long time with di-, tri- and tetrachlorobenzenes as well as alkanes.
Collapse
Affiliation(s)
- Peter Rapp
- GBF-National Research Centre for Biotechnology, Division of Microbiology, Mascheroderweg 1, D-38124 Braunschweig, Germany
| | - Lotte H E Gabriel-Jürgens
- GBF-National Research Centre for Biotechnology, Division of Microbiology, Mascheroderweg 1, D-38124 Braunschweig, Germany
| |
Collapse
|
14
|
Flohil JA, Vriend G, Berendsen HJC. Completion and refinement of 3-D homology models with restricted molecular dynamics: application to targets 47, 58, and 111 in the CASP modeling competition and posterior analysis. Proteins 2002; 48:593-604. [PMID: 12211026 DOI: 10.1002/prot.10105] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
A method is presented to refine models built by homology by the use of restricted molecular dynamics (MD) techniques. The basic idea behind this method is the use of structure validation software to determine for each residue the likelihood that it is modeled correctly. This information is used to determine constraints and restraints in an MD simulation including explicit solvent molecules, which is used for model refinement. The procedure is based on the idea that residues that the validation software identifies as correctly positioned should be strongly constrained or restrained in the MD simulations, whereas residues that are likely to be positioned wrongly should move freely. Two different protocols are compared: one (applied to CASP3 target T58) using full structural constraints with separate optimization of each short fragment and the other (applied to T47) allowing some freedom using harmonic restraining potentials, with automatic optimization of the whole molecule. Structures along the MD trajectory that scored best in structural checks were selected for the construction of models that appeared to be successful in the CASP3 competition. Model refinement with MD in general leads to a model that is less like the experimental structure (Levitt et al. Nature Struct Biol 1999;6:108-111). Actually, refined T47 was slightly improved compared to the starting model; changes in model T58 led not to further enhancement. After the X-ray structure of the modeled proteins became known, the procedure was evaluated for two targets (T47 and the CASP4 target T111) by comparing a long simulation in water with the experimental target structures. It was found that structural improvements could be obtained on a nanosecond time scale by allowing appropriate freedom in the simulation. Structural checks applied to fast fluctuations do not appear to be informative for the correctness of the structure. However, both a simple hydrogen bond count and a simple compactness measure, if averaged over times of typically 300 ps, correlate well with structural correctness and we suggest that criteria based on these properties may be used in computational folding strategies.
Collapse
Affiliation(s)
- J A Flohil
- Groningen Biomolecular Sciences and Biotechnology Institute (GBB), Department of Biophysical Chemistry, University of Groningen, Groningen, The Netherlands
| | | | | |
Collapse
|
15
|
Mungall CJ, Misra S, Berman BP, Carlson J, Frise E, Harris N, Marshall B, Shu S, Kaminker JS, Prochnik SE, Smith CD, Smith E, Tupy JL, Wiel C, Rubin GM, Lewis SE. An integrated computational pipeline and database to support whole-genome sequence annotation. Genome Biol 2002; 3:RESEARCH0081. [PMID: 12537570 PMCID: PMC151183 DOI: 10.1186/gb-2002-3-12-research0081] [Citation(s) in RCA: 41] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2002] [Accepted: 11/28/2002] [Indexed: 01/02/2023] Open
Abstract
We describe here our experience in annotating the Drosophila melanogaster genome sequence, in the course of which we developed several new open-source software tools and a database schema to support large-scale genome annotation. We have developed these into an integrated and reusable software system for whole-genome annotation. The key contributions to overall annotation quality are the marshalling of high-quality sequences for alignments and the design of a system with an adaptable and expandable flexible architecture.
Collapse
Affiliation(s)
- C J Mungall
- Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
16
|
Lewis SE, Searle SMJ, Harris N, Gibson M, Lyer V, Richter J, Wiel C, Bayraktaroglu L, Birney E, Crosby MA, Kaminker JS, Matthews BB, Prochnik SE, Smithy CD, Tupy JL, Rubin GM, Misra S, Mungall CJ, Clamp ME. Apollo: a sequence annotation editor. Genome Biol 2002; 3:RESEARCH0082. [PMID: 12537571 PMCID: PMC151184 DOI: 10.1186/gb-2002-3-12-research0082] [Citation(s) in RCA: 350] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2002] [Revised: 11/13/2002] [Accepted: 11/23/2002] [Indexed: 11/10/2022] Open
Abstract
The well-established inaccuracy of purely computational methods for annotating genome sequences necessitates an interactive tool to allow biological experts to refine these approximations by viewing and independently evaluating the data supporting each annotation. Apollo was developed to meet this need, enabling curators to inspect genome annotations closely and edit them. FlyBase biologists successfully used Apollo to annotate the Drosophila melanogaster genome and it is increasingly being used as a starting point for the development of customized annotation editing tools for other genome projects.
Collapse
Affiliation(s)
- S E Lewis
- Department of Molecular and Cellular Biology, Life Sciences Addition, University of California, Berkeley, CA 94720-3200, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
17
|
Li J, Glick BR. Transcriptional regulation of the Enterobacter cloacae UW4 1-aminocyclopropane-1-carboxylate (ACC) deaminase gene (acdS). Can J Microbiol 2001; 47:359-67. [PMID: 11358176 DOI: 10.1139/w01-009] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Based on DNA sequence analysis and 1-aminocyclopropane-1-carboxylate (ACC) deaminase activity, the region of DNA immediately upstream of the Enterobacter cloacae UW4 ACC deaminase gene (acdS) contains several features that appear to be involved in its transcriptional regulation. In the present study, the 5' upstream region of acdS was cloned into the promoter-probe vector, pQF70, which carries the promoterless luciferase gene (luxAB), and luciferase expression was monitored. The data obtained from studying the expression of the luciferase gene showed that (i) a leucine responsive regulatory protein (LRP)-like protein encoded within the upstream region is located on the opposite strand from acdS under the control of a promoter stronger than the one responsible for acdS transcription, (ii) luciferase gene expression required both ACC and the LRP-like protein, (iii) luciferase expression was increased three-fold under anaerobic conditions, consistent with the involvement of a fumarate-nitrate reduction (FNR)-like regulatory protein box within the upstream region, and (iv) the addition of leucine to the growth medium decreased luciferase activity in the presence of ACC and increased luciferase activity in the absence of ACC, consistent with leucine acting as a regulator of the expression of the LRP-like protein.
Collapse
Affiliation(s)
- J Li
- Department of Biology, University of Waterloo, ON, Canada
| | | |
Collapse
|
18
|
Rantakokko-Jalava K, Jalava J. Development of conventional and real-time PCR assays for detection of Legionella DNA in respiratory specimens. J Clin Microbiol 2001; 39:2904-10. [PMID: 11474011 PMCID: PMC88258 DOI: 10.1128/jcm.39.8.2904-2910.2001] [Citation(s) in RCA: 66] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The development and validation of a PCR assay based on the use of new 16S ribosomal DNA (rDNA)-targeted primers to detect Legionella DNA in respiratory specimens are described. The assay was originally developed as conventional PCR followed by electrophoretic detection and was then adapted to Lightcycler format with SYBR Green I detection and melting curve analysis. The 73 Legionella pneumophila strains tested were amplified with both applications. In addition, 21 and 23 out of 27 other Legionella strains were found positive by conventional and real-time PCR assays, respectively, including the clinically important species L. micdadei, L. bozemaniae, and L. dumoffii. Two DNA purification methods were compared using artificially seeded clinical specimens: a standard organic extraction method and a commercial kit based on adsorption of DNA to silica particles. The detection limit of the assay varied from 2 CFU to >200,000 CFU per ml of clinical specimen, depending on the background sample (i.e., pooled sputa or BAL fluids) and the DNA purification method, the silica method achieving lower detection limits. Analysis of 77 clinical samples (66 bronchoalveolar lavage fluid and 11 sputum samples) by conventional PCR yielded results that were consistent with Legionella culture results. The melting curve analysis in the Lightcycler system readily detected the specific amplification products. However, run-to-run variations in the measured melting temperatures required normalization against the standard sample in each run. The results obtained with the clinical specimens were similar to those obtained with conventional PCR, but more samples are required to determine whether the system can be applied to routine screening of samples for the presence of Legionella DNA.
Collapse
|
19
|
A possible mode of the specific recognition of nucleic acids by proteins. CHINESE SCIENCE BULLETIN-CHINESE 2001. [DOI: 10.1007/bf02900469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
20
|
|
21
|
Bartels F, Backhaus S, Moore ER, Timmis KN, Hofer B. Occurrence and expression of glutathione-S-transferase-encoding bphK genes in Burkholderia sp. strain LB400 and other biphenyl-utilizing bacteria. MICROBIOLOGY (READING, ENGLAND) 1999; 145 ( Pt 10):2821-34. [PMID: 10537204 DOI: 10.1099/00221287-145-10-2821] [Citation(s) in RCA: 49] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The gene bphK of Burkholderia sp. strain LB400 has previously been shown to be located within the bph locus, which specifies the degradation of biphenyl (BP) and chlorobiphenyls, and to encode a glutathione S-transferase (GST) which accepts 1-chloro-2,4-dinitrobenzene (CDNB) as substrate. The specific physiological role of this gene is not known. It is now shown that the gene is expressed in the parental organism and that GST activity is induced more than 20-fold by growth of the strain on BP relative to succinate when these compounds serve as sole carbon source. Approximately the same induction factor was observed for 2,3-dihydroxybiphenyl 1,2-dioxygenase activity, which is encoded by the 5'-adjacent bphC gene. This suggests that the expression of bphK is coregulated with the expression of genes responsible for the catabolism of BP. A bphK probe detected only a single copy of the gene in strain LB400. A spontaneous BP- mutant of the organism neither gave a signal with the bphK probe nor showed CDNB-accepting GST activity, suggesting that this activity is solely encoded by bphK. Complementation of the mutant with a bph gene cluster devoid of bphK restored the ability to grow on BP, indicating that bphK is not essential for utilization of this carbon source. BphK activity proved to be almost unaffected by up to 100-fold differences in proton concentration or ionic strength. The enzyme showed a narrow range with respect to a variety of widely used electrophilic GST substrates, accepting only CDNB. A number of established laboratory strains as well as novel isolates able to grow on BP as sole carbon and energy source were examined for BphK activity and the presence of a bphK analogue. CDNB assays, probe hybridizations and PCR showed that several, but not all, BP degraders possess this type of GST activity and/or a closely related gene. In all bacteria showing BphK activity, this was induced by growth on BP as sole carbon source, although activity levels differed by up to 10-fold after growth on BP and by up to 60-fold after growth on succinate. This resulted in a variation of induction factors between 2 and 30. In the majority of bphK+ bacteria examined, the gene appeared to be part of LB400-like bph gene clusters. DNA sequencing revealed almost complete identity of bphK genes from five different bph gene clusters. These results suggest that bphK genes, although not essential, fulfill a strain-specific function related to the utilization of BPs by their host organisms. The usefulness of BphK as a reporter enzyme for monitoring the expression of catabolic pathways is discussed.
Collapse
Affiliation(s)
- F Bartels
- National Research Centre for Biotechnology (GBF), Division of Microbiology, Braunschweig, Germany
| | | | | | | | | |
Collapse
|
22
|
Scheufler C, Sebald W, Hülsmeyer M. Crystal structure of human bone morphogenetic protein-2 at 2.7 A resolution. J Mol Biol 1999; 287:103-15. [PMID: 10074410 DOI: 10.1006/jmbi.1999.2590] [Citation(s) in RCA: 246] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Homodimeric bone morphogenetic protein-2 (BMP-2) is a member of the transforming growth factor beta (TGF-beta) superfamily that induces bone formation and regeneration, and determines important steps during early stages of embryonic development in vertebrates and non-vertebrates. BMP-2 can interact with two types of receptor chains, as well as with proteins of the extracellular matrix and several regulatory proteins. We report here the crystal structure of human BMP-2 determined by molecular replacement and refined to an R-value of 24.2 % at 2.7 A resolution. A common scaffold of BMP-2, BMP-7 and the TGF-betas, i.e. the cystine-knot motif and two finger-like double-stranded beta-sheets, can be superimposed with r. m.s. deviations of around 1 A. In contrast to the TGF-betas, the structure of BMP-2 shows differences in the flexibility of the N terminus and the orientation of the central alpha-helix as well as two external loops at the fingertips with respect to the scaffold. This is also known from the BMP-7 model. Small secondary structure elements in the loop regions of BMP-2 and BMP-7 seem to be specific for the respective BMP-subgroup. Two identical helix-finger clefts and two distinct cavities located around the central 2-fold axis of the dimer show characteristic shapes, polarity and surface charges. The possible function of these specific features in the interaction of BMP-2 with its binding partners is discussed.
Collapse
Affiliation(s)
- C Scheufler
- Physiological Chemistry II, University of Würzburg, Würzburg, 97074, Germany
| | | | | |
Collapse
|
23
|
Hein H, Schlüter C, Kulke R, Christophers E, Schröder JM, Bartels J. Genomic organization, sequence analysis and transcriptional regulation of the human MCP-4 chemokine gene (SCYA13) in dermal fibroblasts: a comparison to other eosinophilic beta-chemokines. Biochem Biophys Res Commun 1999; 255:470-6. [PMID: 10049733 DOI: 10.1006/bbrc.1999.0216] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The eosinophil chemotactic beta-chemokine MCP-4 is assumed to be involved in the accumulation of eosinophils characteristic for eosinophilic inflammatory diseases. We here describe the genomic organisation (3 exons of 138, 115 and 578 bp, 2 introns of 867 and 437 bp and 1.4 kb of regulatory sequences from the immediate 5' upstream region), sequence (genomic and transcribed) and mRNA expression of the human MCP-4 gene in dermal fibroblasts. Among the promoter elements potentially regulating MCP-4 gene expression and/or mediating the effects of anti-inflammatory drugs we identified consensus sequences known to interact with nuclear factors like NF-IL6, AP-2, a NF-kappaB like consensus sequence, gamma-interferon- response and YY-1 elements as well as glucocorticoid response elements. Like MCP-3, MCP-4 mRNA expression in dermal fibroblasts is upregulated by TNF-alpha, IL-1alpha, IFN-gamma or IL-4 and differs from RANTES and eotaxin mRNA expression in its response to IFN-gamma and/or IL-4.
Collapse
Affiliation(s)
- H Hein
- Clinical Research Unit, Department of Dermatology, University of Kiel, Germany
| | | | | | | | | | | |
Collapse
|
24
|
Cottage A, Clark M, Hawker K, Umrania Y, Wheller D, Bishop M, Elgar G. Three receptor genes for plasminogen related growth factors in the genome of the puffer fish Fugu rubripes. FEBS Lett 1999; 443:370-4. [PMID: 10025966 DOI: 10.1016/s0014-5793(99)00011-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Plasminogen related growth factors (PRGFs) and their receptors play major roles in embryogenesis, tissue regeneration and neoplasia. In order to investigate the complexity and evolution of the PRGF receptor family we have cloned and sequenced three receptors for PRGFs in the teleost fish Fugu rubripes, a model vertebrate with a compact genome. One of the receptor genes isolated encodes the orthologue of mammalian MET, whilst the other two may represent Fugu rubripes orthologues of RON and SEA. This is the first time three PRGF receptors have been identified in a single species.
Collapse
Affiliation(s)
- A Cottage
- MRC HGMP Resource Centre, Hinxton, Cambridge, UK
| | | | | | | | | | | | | |
Collapse
|
25
|
Morea V, Leplae R, Tramontano A. Protein structure prediction and design. BIOTECHNOLOGY ANNUAL REVIEW 1999; 4:177-214. [PMID: 9890141 DOI: 10.1016/s1387-2656(08)70070-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Proteins have a unique native conformation, which can be proven in many instances to be determined by the amino acid sequence alone. The folding problem, that is the understanding of how the amino acid sequence directs folding, is still unsolved, despite more than 30 years of effort. However, many new methods have appeared in the past few years. This chapter describes the different principles underlying them and tries to give an overview of their successes and pitfalls.
Collapse
Affiliation(s)
- V Morea
- IRBM P. Angeletti, Pomezia, Rome, Italy
| | | | | |
Collapse
|
26
|
De Rijk P, Robbrecht E, de Hoog S, Caers A, Van de Peer Y, De Wachter R. Database on the structure of large subunit ribosomal RNA. Nucleic Acids Res 1999; 27:174-8. [PMID: 9847172 PMCID: PMC148127 DOI: 10.1093/nar/27.1.174] [Citation(s) in RCA: 55] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The Antwerp database on large subunit ribosomal RNA now contains 607 complete or nearly complete aligned sequences. The alignment incorporates secondary structure information for each sequence. Other information about the sequences, such as literature references, accession numbers and taxonomic information is also available. Information from the database can be downloaded or searched on the rRNA WWW Server at URL http://rrna.uia.ac.be/
Collapse
Affiliation(s)
- P De Rijk
- Departement Biochemie, Universiteit Antwerpen (UIA), Universiteitsplein 1, B-2610 Antwerpen, Belgium
| | | | | | | | | | | |
Collapse
|
27
|
Abstract
Since July 1995, the European Bioinformatics Institute (EBI) has maintained the Radiation Hybrid database (RHdb; http://www.ebi.ac. uk/RHdb ), a public database for radiation hybrid data. Radiation hybrid mapping is an important technique for determining high resolution maps. Recently, CORBA access has been added to RHdb. The EBI is an Outstation of the European Molecular Biology Laboratory (EMBL).
Collapse
Affiliation(s)
- P Rodriguez-Tomé
- EMBL Outstation, The European Bioinformatics Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | | |
Collapse
|
28
|
Abstract
Pseudomonas chlororaphis RW71 mineralized 1,2,3,4-tetrachlorobenzene, a highly recalcitrant pollutant hitherto not known to be degraded by pure cultures, as a sole source of carbon and energy, thereby releasing stoichiometric amounts of chloride. The transient excretion of tetrachlorocatechol in the early growth phase suggests an initial attack by a dioxygenase to form the corresponding dihydrodiol which rearomatizes to the catechol. The activity of chlorocatechol 1,2-dioxygenase in crude cell extracts was found to be extraordinarily high towards 3-chlorocatechol (ratio of 2.6 compared to catechol) and other chlorocatechols, including tetrachlorocatechol, which was transformed at a low but significant rate. Further identification of tetrachloromuconic acid, 2,3, 5-trichlorodienelactone, 2,3,5-trichloromaleyl acetic acid, and 2, 4-dichloro-3-oxoadipic acid as their methyl esters, together with high specific enzyme activities for chlorinated substrates, implicated a functioning chlorocatechol pathway to be induced during growth.
Collapse
|
29
|
Affiliation(s)
- B F Ouellette
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| |
Collapse
|
30
|
Affiliation(s)
- B A Butler
- Genetics Computer Group, Inc., Oxford Molecular Group, Madison, Wisconsin, USA
| |
Collapse
|
31
|
Krooneman J, Moore ER, Velzen JC, Prins RA, Forney LJ, Gottschal JC. Competition for oxygen and 3-chlorobenzoate between two aerobic bacteria using different degradation pathways. FEMS Microbiol Ecol 1998. [DOI: 10.1111/j.1574-6941.1998.tb00503.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
|
32
|
Mironov AA, Roytberg MA, Pevzner PA, Gelfand MS. Performance-guarantee gene predictions via spliced alignment. Genomics 1998; 51:332-9. [PMID: 9721203 DOI: 10.1006/geno.1998.5251] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
An important and still unsolved problem in gene prediction is designing an algorithm that not only predicts genes but estimates the quality of individual predictions as well. Since experimental biologists are interested mainly in the reliability of individual predictions (rather than in the average reliability of an algorithm) we attempted to develop a gene recognition algorithm that guarantees a certain quality of predictions. We demonstrate here that the similarity level with a related protein is a reliable quality estimator for the spliced alignment approach to gene recognition. We also study the average performance of the spliced alignment algorithm for different targets on a complete set of human genomic sequences with known relatives and demonstrate that the average performance of the method remains high even for very distant targets. Using plant, fungal, and prokaryotic target proteins for recognition of human genes leads to accurate predictions with 95, 93, and 91% correlation coefficient, respectively. For target proteins with similarity score above 60%, not only the average correlation coefficient is very high (97% and up) but also the quality of individual predictions is guaranteed to be at least 82%. It indicates that for this level of similarity the worst case performance of the spliced alignment algorithm is better than the average case performance of many statistical gene recognition methods.
Collapse
Affiliation(s)
- A A Mironov
- Laboratory of Mathematical Methods, National Center for Biotechnology NIIGENETIKA, Moscow, 113545, Russia
| | | | | | | |
Collapse
|
33
|
Abstract
The analysis of the complete nucleotide sequence of the small resistance plasmid pIE1107 revealed a close similarity to the well-known IncQ plasmids. Highly conserved replication proteins and nearly identical origins of replication (oriV) suggest equivalent functions in the related replication systems. However, pIE1107 contains two copies of IncQ-oriV-like DNA which are slightly different regarding the iterons. Upon deletion of a silent copy of IncQ-oriV-like DNA the resulting plasmid is fully compatible with IncQ plasmids, indicating that there is no mutual communication between the replication control of the respective replicons. Experiments with cloned oriV DNA strongly suggest that the replication initiation protein of pIE1107 has specialized into the distinct target-iterons of its own oriV which differs only by a few nucleotides from the oriV of IncQ plasmids. Implications from the apparent highly specific protein-DNA recognition and from the incompatibility properties of pIE1107 for the evolution of a family of compatible, IncQ-like plasmids are discussed.
Collapse
Affiliation(s)
- E Tietze
- Robert Koch-Institut, Bereich Wernigerode, Wernigerode, D 38843, Federal Republic of Germany
| |
Collapse
|
34
|
Suckow JM, Amano N, Ohfuku Y, Kakinuma J, Koike H, Suzuki M. A transcription frame-based analysis of the genomic DNA sequence of a hyper-thermophilic archaeon for the identification of genes, pseudo-genes and operon structures. FEBS Lett 1998; 426:86-92. [PMID: 9598984 DOI: 10.1016/s0014-5793(98)00323-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
An algorithm for identifying transcription units, independently regulated genes and operons, and pseudo-genes that are not expected to be expressed, has been developed by combining a system for predicting transcription and translation signals, and a system for scoring the triplet periodicity in ORF candidates. By using the algorithm, the 1.09 Mb sequence that covers approximately 60% of the genome of Pyrococcus sp. OT3 has been analyzed. The identified ORFs show the expected biological and physical characteristics, while the rejected ORF candidates do not. Frequent use of operon structures for transcription, and gene duplication followed by mutation or termination of the duplicated genes, are discussed.
Collapse
Affiliation(s)
- J M Suckow
- AIST-NIBHT CREST Centre of Structural Biology, Higashi, Tsukuba, Japan
| | | | | | | | | | | |
Collapse
|
35
|
Affiliation(s)
- B Rost
- European Molecular Biology Laboratory, Heidelberg, Germany.
| |
Collapse
|
36
|
Jarvis GN, Strömpl C, Moore ER, Thiele JH. Isolation and characterisation of obligately anaerobic, lipolytic bacteria from the rumen of red deer. Syst Appl Microbiol 1998; 21:135-43. [PMID: 9741118 DOI: 10.1016/s0723-2020(98)80017-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Two Gram-positive, obligately anaerobic, lipolytic bacteria, isolates LIP4 and LIP5, were obtained from the rumen contents of juvenile red deer. These mesophilic bacterial strains were capable of hydrolysing the neutral lipids, tallow, tripalmitin and oliver oil, into their constituent free long-chain fatty acid and glycerol moieties. The latter compound was dissimilated by both isolates, with isolate LIP4 producing propionate as the predominant product, while isolate LIP5 produced acetate, ethanol and succinate. The lactate-utilising isolate LIP4 grew on a limited range of saccharide substrates including glucose, fructose and ribose, and exhibited an unusual cell wall structure and morphology. The isolate LIP5 grew upon a wider range of saccharides, but was unable to use lactate as a substrate. Based upon phenotypic and 16S rRNA gene sequence analyses, isolate LIP4 clusters with species in the genus Propionibacterium, while isolate LIP5 is a member of clostridial cluster XIVa.
Collapse
Affiliation(s)
- G N Jarvis
- Department of Microbiology, University of Otago, Dunedin, New Zealand.
| | | | | | | |
Collapse
|
37
|
Abstract
Biological sequence databases are currently being re-engineered to make them more efficient and easier to use. This re-engineering is also providing an infrastructure to make it easier to interrogate and integrate data from different sources. The net result of this effort should be a great improvement in the power and availability of bioinformatics resources to the general biology community.
Collapse
Affiliation(s)
- P G Baker
- School of Biological Sciences, University of Manchester, UK.
| | | |
Collapse
|
38
|
Fasman KH, Salzberg SL. An introduction to biological sequence analysis. COMPUTATIONAL METHODS IN MOLECULAR BIOLOGY 1998. [DOI: 10.1016/s0167-7306(08)60460-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
|
39
|
Lobry JR. Influence of genomic G+C content on average amino-acid composition of proteins from 59 bacterial species. Gene X 1997; 205:309-16. [PMID: 9461405 DOI: 10.1016/s0378-1119(97)00403-4] [Citation(s) in RCA: 106] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The amino-acid composition of 23,490 proteins from 59 bacterial species was analyzed as a function of genomic G+C content. Observed amino-acid frequencies were compared with those expected from a neutral model assuming the absence of selection on average protein composition. Integral membrane proteins and non-integral membrane proteins were analyzed separately. The average deviation from this neutral model shows that there is a selective pressure increasing content in charged amino acids for non-integral membrane proteins, and content in hydrophobic amino acids for integral membrane proteins. Amino-acid frequencies were greatly influenced by genomic G+C content, but the influence was found to be often weaker than predicted. This may be evidence for a selective pressure, maintaining most amino-acid frequencies close to an optimal value. Concordance between the genetic code and protein composition is discussed in the light of this observation.
Collapse
Affiliation(s)
- J R Lobry
- CNRS UMR 5558-Laboratoire BGBP, Université Claude Bernard, Villeurbanne, France.
| |
Collapse
|
40
|
Abstract
Recently, molecular biologists have sequenced about a dozen bacterial genomes and the first eukaryotic genome. We can now obtain answers to detailed questions about the complete set of genes of an organism. Bioinformatics methods are increasingly used for attaching biological knowledge to long lists of genes, assigning genes to biological pathways, comparing the gene sets of different species, identifying specificity factors, and describing sets of highly conserved proteins common to all domains of life. Substantial progress has recently been made in the availability of primary and added-value databases, in the development of algorithms and of network information services for genome analysis. The pharmaceutical industry has greatly benefited from the accumulation of sequence data through the identification of targets and candidates for the development of drugs, vaccines, diagnostic markers and therapeutic proteins.
Collapse
|
41
|
Everett LA, Glaser B, Beck JC, Idol JR, Buchs A, Heyman M, Adawi F, Hazani E, Nassir E, Baxevanis AD, Sheffield VC, Green ED. Pendred syndrome is caused by mutations in a putative sulphate transporter gene (PDS). Nat Genet 1997; 17:411-22. [PMID: 9398842 DOI: 10.1038/ng1297-411] [Citation(s) in RCA: 755] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Pendred syndrome is a recessively inherited disorder with the hallmark features of congenital deafness and thyroid goitre. By some estimates, the disorder may account for upwards of 10% of hereditary deafness. Previous genetic linkage studies localized the gene to a broad interval on human chromosome 7q22-31.1. Using a positional cloning strategy, we have identified the gene (PDS) mutated in Pendred syndrome and found three apparently deleterious mutations, each segregating with the disease in the respective families in which they occur. PDS produces a transcript of approximately 5 kb that was found to be expressed at significant levels only in the thyroid. The predicted protein, pendrin, is closely related to a number of known sulphate transporters. These studies provide compelling evidence that defects in pendrin cause Pendred syndrome thereby launching a new area of investigation into thyroid physiology, the pathogenesis of congenital deafness and the role of altered sulphate transport in human disease.
Collapse
Affiliation(s)
- L A Everett
- Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
42
|
Smith CM, Shindyalov IN, Veretnik S, Gribskov M, Taylor SS, Ten Eyck LF, Bourne PE. The protein kinase resource. Trends Biochem Sci 1997; 22:444-6. [PMID: 9397688 DOI: 10.1016/s0968-0004(97)01131-6] [Citation(s) in RCA: 79] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- C M Smith
- San Diego Supercomputer Center (SDSC), CA 92186, USA
| | | | | | | | | | | | | |
Collapse
|
43
|
Hein H, Schlüter C, Kulke R, Christophers E, Schröder JM, Bartels J. Genomic organization, sequence, and transcriptional regulation of the human eotaxin gene. Biochem Biophys Res Commun 1997; 237:537-42. [PMID: 9299399 DOI: 10.1006/bbrc.1997.7169] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Eotaxin is an eosinophil specific beta-chemokine assumed to be involved in eosinophilic inflammatory diseases such as atopic dermatitis, allergic rhinitis, asthma and parasitic infections. Its expression is stimulus- and cell-specific. We here describe the genomic organisation (3 exons of 132, 112 and 542 bp and 2 introns of 1211 and 378 bp) and sequence including 3 kb of DNA from the immediate 5' upstream region of the human eotaxin gene. Among the regulatory promoter elements potentially regulating eotaxin gene expression and/or mediating the effects of anti-inflammatory drugs we identified consensus sequences known to interact with nuclear factors like NF-IL6, AP-1, a NF-kappa-B like consensus sequence and gamma-interferon- as well as glucocorticoid response elements.
Collapse
MESH Headings
- Amino Acid Sequence
- Animals
- Base Sequence
- Binding Sites
- CCAAT-Enhancer-Binding Proteins
- Cells, Cultured
- Chemokine CCL11
- Chemokines, CC
- Chemotactic Factors, Eosinophil/biosynthesis
- Chemotactic Factors, Eosinophil/chemistry
- Chemotactic Factors, Eosinophil/genetics
- Consensus Sequence
- Cytokines/biosynthesis
- Cytokines/chemistry
- Cytokines/genetics
- DNA Primers
- DNA-Binding Proteins/metabolism
- Eosinophils/metabolism
- Exons
- Gene Expression Regulation
- Glucocorticoids/pharmacology
- Humans
- Interferon-gamma/pharmacology
- Introns
- Keratinocytes/metabolism
- Molecular Sequence Data
- NF-kappa B/metabolism
- Nuclear Proteins/metabolism
- Organ Specificity
- Polymerase Chain Reaction
- Promoter Regions, Genetic
- Rabbits
- Regulatory Sequences, Nucleic Acid
- Sequence Alignment
- Sequence Homology, Amino Acid
- Sequence Homology, Nucleic Acid
- Skin/metabolism
- Transcription Factor AP-1/metabolism
- Transcription Factors/metabolism
- Transcription, Genetic
Collapse
Affiliation(s)
- H Hein
- Department of Dermatology, University of Kiel, Germany
| | | | | | | | | | | |
Collapse
|
44
|
|
45
|
Apweiler R, Junker V, Gateau A, O'Donovan C, Lang F, Bairoch A. New developments in linking of biological databases and computer-generation of annotation: SWISS-PROT and its computer-annotated supplement TREMBL. Bioinformatics 1996. [DOI: 10.1007/bfb0033202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
|