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Istituto di scienza dell'alimentazione

Torna all'elenco Contributi in rivista anno 2018

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Structure of association networks in food bacterial communities

Anno di pubblicazione: 2018

Formato: Elettronico

Autori: Parente E.; Zotta T.; Faust K.; De Filippis F.; Ercolini D.

Affiliazioni autori: Dipartimento di Scienze, Università degli Studi della Basilicata, Potenza, 85100, , Italy; Istituto di Scienze dell'Alimentazione, CNR, Avellino, 83100, , , Italy; Istituto di Scienze dell'Alimentazione, CNR, Avellino, 83100, , , Italy; Department of Microbiology and Immunology, REGA Institute, KU Leuven, 3000, , Belgium; Department of Agricultural Sciences, Division of Microbiology, University of Naples "Federico II", Portici, 80055, , Italy; Task Force on Microbiome Studies, University of Naples "Federico II", Naples, , Italy

Autori CNR:

  • TERESA ZOTTA

Lingua: inglese

Abstract: The structure of microbial association networks was investigated for seventeen studies on food bacterial communities using the CoNet app. The results were compared with those for host and environmental microbiomes. Microbial association networks of food bacterial communities shared several properties with those of host microbiomes, although they were less complex and lacked a scale-free, small world structure that is characteristic of environmental microbial communities. This may depend on both the initial contamination pattern, whose main source is the raw material microbiome, and on the copiotrophic nature of food environments, with lack of well defined, specific niches. The selective factors which are characteristic of fermentation and spoilage drastically simplified microbial association networks and showed the emergence of negative hubs. Co-presence and mutual exclusion networks had a radically different structure, with high clustering coefficient in the first and high heterogeneity in the latter. Node properties (degree, positive degree, betweenness centrality, abundance) can be combined in plots, which allow a rapid identification of hub species. The combined use of three network inference tools (CoNet, SparCC, and SPIEC-EASI) confirmed that microbial association network detection is method specific, but several coherent copresence or mutual exclusion relationships were detected by at least two different methods.

Lingua abstract: inglese

Pagine da: 49

Pagine a: 60

Rivista:

Food microbiology Academic Press,
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 0740-0020

Numero volume: 73

DOI: 10.1016/j.fm.2017.12.010

Referee: Sì: Internazionale

Stato della pubblicazione: Published version

Indicizzato da: Scopus [2-s2.0-85043772062]

Parole chiave:

  • 16S DNA profiling
  • microbial association network
  • bacterial communities

URL: http://www.scopus.com/record/display.url?eid=2-s2.0-85043772062&origin=inward

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