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Affinity purification of an archaeal DNA replication protein network.

ABSTRACT: Nineteen Thermococcus kodakarensis strains have been constructed, each of which synthesizes a different His(6)-tagged protein known or predicted to be a component of the archaeal DNA replication machinery. Using the His(6)-tagged proteins, stable complexes assembled in vivo have been isolated directly from clarified cell lysates and the T. kodakarensis proteins present have been identified by mass spectrometry. Based on the results obtained, a network of interactions among the archaeal replication proteins has been established that confirms previously documented and predicted interactions, provides experimental evidence for previously unrecognized interactions between proteins with known functions and with unknown functions, and establishes a firm experimental foundation for archaeal replication research. The proteins identified and their participation in archaeal DNA replication are discussed and related to their bacterial and eukaryotic counterparts.

SUBMITTER: Li Z

PROVIDER: S-EPMC2962436 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature

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Affinity purification of an archaeal DNA replication protein network.

Li Zhuo Z Santangelo Thomas J TJ Cuboňová L'ubomíra L Reeve John N JN Kelman Zvi Z

mBio 20101026 5

Nineteen Thermococcus kodakarensis strains have been constructed, each of which synthesizes a different His(6)-tagged protein known or predicted to be a component of the archaeal DNA replication machinery. Using the His(6)-tagged proteins, stable complexes assembled in vivo have been isolated directly from clarified cell lysates and the T. kodakarensis proteins present have been identified by mass spectrometry. Based on the results obtained, a network of interactions among the archaeal replicati ...[more]

PMID: 20978540

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Project description:Viruses reshape the intracellular environment of their hosts, largely through protein-protein interactions, to co-opt processes necessary for viral infection and interference with antiviral defences. Due to genome size constraints and the concomitant limited coding capacity of viruses, viral proteins are generally multifunctional and have evolved to target diverse host proteins. Inference of the virus-host interaction network can be instrumental for understanding how viruses manipulate the host machinery and how re-wiring of specific pathways can contribute to disease. Here, we use affinity purification and mass spectrometry analysis (AP-MS) to define the global landscape of interactions between the geminivirus Tomato yellow leaf curl virus (TYLCV) and its host Nicotiana benthamiana. For this purpose, we expressed tagged versions of each of TYLCV-encoded proteins (C1/Rep, C2/TrAP, C3/REn, C4, V2, and CP) in planta in the presence of the virus. Using a quantitative scoring system, 728 high-confidence plant interactors were identified, and the interaction network of each viral protein was inferred; TYLCV-targeted proteins are more connected than average, and connect with other proteins through shorter paths, which would allow the virus to exert large effects with few interactions. Comparative analyses of divergence patterns between N. benthamiana and potato, a non-host Solanaceae, showed evolutionary constraints on TYLCV-targeted proteins. Our results provide a comprehensive overview of plant proteins targeted by TYLCV during the viral infection, which may contribute to uncovering the underlying molecular mechanisms of plant viral diseases and provide novel potential targets for anti-viral strategies and crop engineering. Interestingly, some of the TYLCV-interacting proteins appear to be convergently targeted by other pathogen effectors, which suggests a central role for these proteins in plant-pathogen interactions, and pinpoints them as potential targets to engineer broad-spectrum resistance to biotic stresses.

Dataset Information

Affinity purification of an archaeal DNA replication protein network.

Publications

Affinity purification of an archaeal DNA replication protein network.

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