{"issue":"40","quality_controlled":"1","abstract":[{"lang":"eng","text":"Polymicrobial infections constitute small ecosystems that accommodate several bacterial species. Commonly, these bacteria are investigated in isolation. However, it is unknown to what extent the isolates interact and whether their interactions alter bacterial growth and ecosystem resilience in the presence and absence of antibiotics. We quantified the complete ecological interaction network for 72 bacterial isolates collected from 23 individuals diagnosed with polymicrobial urinary tract infections and found that most interactions cluster based on evolutionary relatedness. Statistical network analysis revealed that competitive and cooperative reciprocal interactions are enriched in the global network, while cooperative interactions are depleted in the individual host community networks. A population dynamics model parameterized by our measurements suggests that interactions restrict community stability, explaining the observed species diversity of these communities. We further show that the clinical isolates frequently protect each other from clinically relevant antibiotics. Together, these results highlight that ecological interactions are crucial for the growth and survival of bacteria in polymicrobial infection communities and affect their assembly and resilience. "}],"department":[{"_id":"ToBo"}],"isi":1,"year":"2017","volume":114,"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa":1,"date_updated":"2023-09-26T16:18:48Z","ec_funded":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635929/"}],"publist_id":"6827","doi":"10.1073/pnas.1713372114","citation":{"mla":"de Vos, Marjon, et al. “Interaction Networks, Ecological Stability, and Collective Antibiotic Tolerance in Polymicrobial Infections.” <i>PNAS</i>, vol. 114, no. 40, National Academy of Sciences, 2017, pp. 10666–71, doi:<a href=\"https://doi.org/10.1073/pnas.1713372114\">10.1073/pnas.1713372114</a>.","ista":"de Vos M, Zagórski MP, Mcnally A, Bollenbach MT. 2017. Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections. PNAS. 114(40), 10666–10671.","short":"M. de Vos, M.P. Zagórski, A. Mcnally, M.T. Bollenbach, PNAS 114 (2017) 10666–10671.","chicago":"Vos, Marjon de, Marcin P Zagórski, Alan Mcnally, and Mark Tobias Bollenbach. “Interaction Networks, Ecological Stability, and Collective Antibiotic Tolerance in Polymicrobial Infections.” <i>PNAS</i>. National Academy of Sciences, 2017. <a href=\"https://doi.org/10.1073/pnas.1713372114\">https://doi.org/10.1073/pnas.1713372114</a>.","ama":"de Vos M, Zagórski MP, Mcnally A, Bollenbach MT. Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections. <i>PNAS</i>. 2017;114(40):10666-10671. doi:<a href=\"https://doi.org/10.1073/pnas.1713372114\">10.1073/pnas.1713372114</a>","apa":"de Vos, M., Zagórski, M. P., Mcnally, A., &#38; Bollenbach, M. T. (2017). Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections. <i>PNAS</i>. National Academy of Sciences. <a href=\"https://doi.org/10.1073/pnas.1713372114\">https://doi.org/10.1073/pnas.1713372114</a>","ieee":"M. de Vos, M. P. Zagórski, A. Mcnally, and M. T. Bollenbach, “Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections,” <i>PNAS</i>, vol. 114, no. 40. National Academy of Sciences, pp. 10666–10671, 2017."},"type":"journal_article","intvolume":"       114","title":"Interaction networks, ecological stability, and collective antibiotic tolerance in polymicrobial infections","pmid":1,"project":[{"call_identifier":"FP7","name":"Optimality principles in responses to antibiotics","_id":"25E83C2C-B435-11E9-9278-68D0E5697425","grant_number":"303507"},{"name":"Revealing the mechanisms underlying drug interactions","call_identifier":"FWF","grant_number":"P27201-B22","_id":"25E9AF9E-B435-11E9-9278-68D0E5697425"}],"author":[{"last_name":"De Vos","full_name":"De Vos, Marjon","id":"3111FFAC-F248-11E8-B48F-1D18A9856A87","first_name":"Marjon"},{"full_name":"Zagórski, Marcin P","id":"343DA0DC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7896-7762","first_name":"Marcin P","last_name":"Zagórski"},{"last_name":"Mcnally","first_name":"Alan","full_name":"Mcnally, Alan"},{"last_name":"Bollenbach","first_name":"Mark Tobias","id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4398-476X","full_name":"Bollenbach, Mark Tobias"}],"publisher":"National Academy of Sciences","oa_version":"Submitted Version","month":"10","publication_identifier":{"issn":["00278424"]},"publication_status":"published","article_processing_charge":"No","date_published":"2017-10-03T00:00:00Z","day":"03","status":"public","publication":"PNAS","_id":"822","scopus_import":"1","date_created":"2018-12-11T11:48:41Z","page":"10666 - 10671","language":[{"iso":"eng"}],"external_id":{"pmid":["28923953"],"isi":["000412130500061"]}}