Academic Journal
Using Bioinformatics and Molecular Biology to Streamline Construction of Effector Libraries for Phytopathogenic Pseudomonas syringae Strains.
| Τίτλος: | Using Bioinformatics and Molecular Biology to Streamline Construction of Effector Libraries for Phytopathogenic Pseudomonas syringae Strains. |
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| Συγγραφείς: | Jayaraman J; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.; The New Zealand Institute for Plant & Food Research Ltd, Auckland, New Zealand., Halane MK; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea., Choi S; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea., McCann HC; New Zealand Institute for Advanced Study, Massey University, Auckland, New Zealand., Sohn KH; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea. khsohn@postech.ac.kr.; School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Republic of Korea. khsohn@postech.ac.kr. |
| Πηγή: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2019; Vol. 1991, pp. 1-12. |
| Τύπος έκδοσης: | Journal Article; Research Support, Non-U.S. Gov't |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE |
| Imprint Name(s): | Publication: Totowa, NJ : Humana Press Original Publication: Clifton, N.J. : Humana Press |
| Ιατρικοί όροι (MeSH): | Host-Pathogen Interactions*, Arabidopsis/*microbiology , Bacterial Proteins/*metabolism , Computational Biology/*methods , Plant Diseases/*microbiology , Pseudomonas syringae/*pathogenicity, Arabidopsis/metabolism ; Bacterial Secretion Systems/metabolism ; Virulence Factors/metabolism ; Gene Library ; Molecular Biology ; Virulence |
| Περίληψη: | The war between plants and their pathogens is endless, with plant resistance genes offering protection against pathogens until the pathogen evolves a way to overcome this resistance. Given how quickly new pathogen strains can arise and defeat plant defenses, it is critical to more rapidly identify and examine the specific genomic characteristics new virulent strains have gained which give them the upper hand. An indispensable tool is bioinformatics. Genome sequencing has advanced rapidly in the last decade, and labs are frequently uploading high-quality genomes of various organisms, including plant pathogenic bacteria such as Pseudomonas syringae. Pseudomonas syringae strains inject several effector proteins into host cells which often overcome host defenses. Probing online genomes provides a way to quickly and accurately predict effector repertoires of Pseudomonas, enabling the cloning of complete effector libraries of newly emerged strains. Here, we describe detailed protocols to rapidly clone bioinformatically predicted P. syringae effectors for various screening applications. |
| Contributed Indexing: | Keywords: Arabidopsis; Effectors; Genome sequencing; Golden Gate cloning; Plant disease resistance; Pseudomonas syringae |
| Substance Nomenclature: | 0 (Bacterial Proteins) 0 (Bacterial Secretion Systems) 0 (Virulence Factors) |
| Entry Date(s): | Date Created: 20190502 Date Completed: 20200304 Latest Revision: 20200304 |
| Update Code: | 20260130 |
| DOI: | 10.1007/978-1-4939-9458-8_1 |
| PMID: | 31041757 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1940-6029 |
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| DOI: | 10.1007/978-1-4939-9458-8_1 |