4.7 Article

Large-Scale Label-Free Quantitative Proteomics of the Pea aphid-Buchnera Symbiosis

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MOLECULAR & CELLULAR PROTEOMICS
卷 10, 期 6, 页码 -

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AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.M110.007039

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资金

  1. National Science Foundation [IOS-0919765]
  2. Sarkaria Institute of Insect Physiology and Toxicology
  3. Microsoft Corporation
  4. Direct For Biological Sciences
  5. Division Of Integrative Organismal Systems [0919765] Funding Source: National Science Foundation

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Many insects are nutritionally dependent on symbiotic microorganisms that have tiny genomes and are housed in specialized host cells called bacteriocytes. The obligate symbiosis between the pea aphid Acyrthosiphon pisum and the gamma-proteobacterium Buchnera aphidicola (only 584 predicted proteins) is particularly amenable for molecular analysis because the genomes of both partners have been sequenced. To better define the symbiotic relationship between this aphid and Buchnera, we used large-scale, high accuracy tandem mass spectrometry (nanoLC-LTQ-Orbtrap) to identify aphid and Buchnera proteins in the whole aphid body, purified bacteriocytes, isolated Buchnera cells and the residual bacteriocyte fraction. More than 1900 aphid and 400 Buchnera proteins were identified. All enzymes in amino acid metabolism annotated in the Buchnera genome were detected, reflecting the high (68%) coverage of the proteome and supporting the core function of Buchnera in the aphid symbiosis. Transporters mediating the transport of predicted metabolites were present in the bacteriocyte. Label-free spectral counting combined with hierarchical clustering, allowed to define the quantitative distribution of a subset of these proteins across both symbiotic partners, yielding no evidence for the selective transfer of protein among the partners in either direction. This is the first quantitative proteome analysis of bacteriocyte symbiosis, providing a wealth of information about molecular function of both the host cell and bacterial symbiont. Molecular & Cellular Proteomics 10: 10.1074/mcp.M110.007039, 1-17, 2011.

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