Bacterial protein meta-interactomes predict cross-species interactions and protein function

被引:13
作者
Caufield, J. Harry [1 ]
Wimble, Christopher [1 ]
Shary, Semarjit [1 ]
Wuchty, Stefan [2 ,3 ,4 ]
Uetz, Peter [1 ]
机构
[1] Virginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USA
[2] Univ Miami, Dept Comp Sci, Coral Gables, FL 33124 USA
[3] Univ Miami, Ctr Computat Sci, Coral Gables, FL 33124 USA
[4] Univ Miami, Miller Sch Med, Sylvester Comprehens Canc Ctr, Miami, FL 33136 USA
来源
BMC BIOINFORMATICS | 2017年 / 18卷
基金
美国国家卫生研究院;
关键词
Protein interactions; Interactome; Networks; Genome evolution; INTERACTION NETWORK; INTERACTION MAP; INTERACTION DATABASE; ESCHERICHIA-COLI; YEAST; 2-HYBRID; SCALE ANALYSIS; COMPLEXES; FRAMEWORK; MODULES; SIZE;
D O I
10.1186/s12859-017-1585-0
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Protein-protein interactions (PPIs) can offer compelling evidence for protein function, especially when viewed in the context of proteome-wide interactomes. Bacteria have been popular subjects of interactome studies: more than six different bacterial species have been the subjects of comprehensive interactome studies while several more have had substantial segments of their proteomes screened for interactions. The protein interactomes of several bacterial species have been completed, including several from prominent human pathogens. The availability of interactome data has brought challenges, as these large data sets are difficult to compare across species, limiting their usefulness for broad studies of microbial genetics and evolution. Results: In this study, we use more than 52,000 unique protein-protein interactions ( PPIs) across 349 different bacterial species and strains to determine their conservation across data sets and taxonomic groups. When proteins are collapsed into orthologous groups (OGs) the resulting meta-interactome still includes more than 43,000 interactions, about 14,000 of which involve proteins of unknown function. While conserved interactions provide support for protein function in their respective species data, we found only 429 PPIs (similar to 1% of the available data) conserved in two or more species, rendering any cross-species interactome comparison immediately useful. The meta-interactome serves as a model for predicting interactions, protein functions, and even full interactome sizes for species with limited to no experimentally observed PPI, including Bacillus subtilis and Salmonella enterica which are predicted to have up to 18,000 and 31,000 PPIs, respectively. Conclusions: In the course of this work, we have assembled cross-species interactome comparisons that will allow interactomics researchers to anticipate the structures of yet-unexplored microbial interactomes and to focus on well-conserved yet uncharacterized interactors for further study. Such conserved interactions should provide evidence for important but yet-uncharacterized aspects of bacterial physiology and may provide targets for anti-microbial therapies.
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页数:14
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共 54 条
  • [1] Identification of Protein-Protein Interactions by Mass Spectrometry Coupled Techniques
    Abu-Farha, Mohamed
    Elisma, Fred
    Figeys, Daniel
    [J]. PROTEIN - PROTEIN INTERACTION, 2008, 110 : 67 - 80
  • [2] Cyanobacterial NDH-1 complexes: Novel insights and remaining puzzles
    Battchikova, Natalia
    Eisenhut, Marion
    Aro, Eva-Mari
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2011, 1807 (08): : 935 - 944
  • [3] Mining high-throughput experimental data to link gene and function
    Blaby-Haas, Crysten E.
    de Crecy-Lagard, Valerie
    [J]. TRENDS IN BIOTECHNOLOGY, 2011, 29 (04) : 174 - 182
  • [4] Protein Complexes in Bacteria
    Caufield, J. Harry
    Abreu, Marco
    Wimble, Christopher
    Uetz, Peter
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (02)
  • [5] The BioGRID interaction database: 2013 update
    Chatr-aryamontri, Andrew
    Breitkreutz, Bobby-Joe
    Heinicke, Sven
    Boucher, Lorrie
    Winter, Andrew
    Stark, Chris
    Nixon, Julie
    Ramage, Lindsay
    Kolas, Nadine
    O'Donnell, Lara
    Reguly, Teresa
    Breitkreutz, Ashton
    Sellam, Adnane
    Chen, Daici
    Chang, Christie
    Rust, Jennifer
    Livstone, Michael
    Oughtred, Rose
    Dolinski, Kara
    Tyers, Mike
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D816 - D823
  • [6] A GENERAL GENETIC APPROACH IN ESCHERICHIA-COLI FOR DETERMINING THE MECHANISM(S) OF ACTION OF TUMORICIDAL AGENTS - APPLICATION TO DMP-840, A TUMORICIDAL AGENT
    CHATTERJEE, PK
    STERNBERG, NL
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1995, 92 (19) : 8950 - 8954
  • [7] Exhaustive benchmarking of the yeast two-hybrid system
    Chen, Yu-Chi
    Rajagopala, Seesandra Venkatappa
    Stellberger, Thorsten
    Uetz, Peter
    [J]. NATURE METHODS, 2010, 7 (09) : 667 - 668
  • [8] Mapping the Protein Interaction Network in Methicillin-Resistant Staphylococcus aureus
    Cherkasov, Artem
    Hsing, Michael
    Zoraghi, Roya
    Foster, Leonard J.
    See, Raymond H.
    Stoynov, Nikolay
    Jiang, Jihong
    Kaur, Sukhbir
    Lian, Tian
    Jackson, Linda
    Gong, Huansheng
    Swayze, Rick
    Amandoron, Emily
    Hormozdiari, Farhad
    Dao, Phuong
    Sahinalp, Cenk
    Santos-Filho, Osvaldo
    Axerio-Cilies, Peter
    Byler, Kendall
    McMaster, William R.
    Brunham, Robert C.
    Finlay, B. Brett
    Reiner, Neil E.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2011, 10 (03) : 1139 - 1150
  • [9] An integrated encyclopedia of DNA elements in the human genome
    Dunham, Ian
    Kundaje, Anshul
    Aldred, Shelley F.
    Collins, Patrick J.
    Davis, CarrieA.
    Doyle, Francis
    Epstein, Charles B.
    Frietze, Seth
    Harrow, Jennifer
    Kaul, Rajinder
    Khatun, Jainab
    Lajoie, Bryan R.
    Landt, Stephen G.
    Lee, Bum-Kyu
    Pauli, Florencia
    Rosenbloom, Kate R.
    Sabo, Peter
    Safi, Alexias
    Sanyal, Amartya
    Shoresh, Noam
    Simon, Jeremy M.
    Song, Lingyun
    Trinklein, Nathan D.
    Altshuler, Robert C.
    Birney, Ewan
    Brown, James B.
    Cheng, Chao
    Djebali, Sarah
    Dong, Xianjun
    Dunham, Ian
    Ernst, Jason
    Furey, Terrence S.
    Gerstein, Mark
    Giardine, Belinda
    Greven, Melissa
    Hardison, Ross C.
    Harris, Robert S.
    Herrero, Javier
    Hoffman, Michael M.
    Iyer, Sowmya
    Kellis, Manolis
    Khatun, Jainab
    Kheradpour, Pouya
    Kundaje, Anshul
    Lassmann, Timo
    Li, Qunhua
    Lin, Xinying
    Marinov, Georgi K.
    Merkel, Angelika
    Mortazavi, Ali
    [J]. NATURE, 2012, 489 (7414) : 57 - 74
  • [10] Inferring topology from clustering coefficients in protein-protein interaction networks
    Friedel, Caroline C.
    Zimmer, Ralf
    [J]. BMC BIOINFORMATICS, 2006, 7 (1)