دورية أكاديمية
أعرض في EDS

Disentangling temporal associations in marine microbial networks.

التفاصيل البيبلوغرافية
العنوان: Disentangling temporal associations in marine microbial networks.
المؤلفون: Deutschmann IM; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain. ina.m.deutschmann@gmail.com., Krabberød AK; Department of Biosciences/Section for Genetics and Evolutionary Biology (EVOGENE), University of Oslo, p.b. 1066 Blindern, N-0316, Oslo, Norway., Latorre F; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain., Delage E; Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.; Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, F-75016, Paris, France., Marrasé C; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain., Balagué V; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain., Gasol JM; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain., Massana R; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain., Eveillard D; Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.; Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, F-75016, Paris, France., Chaffron S; Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, France.; Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, F-75016, Paris, France., Logares R; Institute of Marine Sciences (ICM), CSIC, Passeig Marítim de La Barceloneta, 37-49, 08003, Barcelona, Spain. ramiro.logares@icm.csic.es.
المصدر: Microbiome [Microbiome] 2023 Apr 21; Vol. 11 (1), pp. 83. Date of Electronic Publication: 2023 Apr 21.
نوع المنشور: Video-Audio Media; Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 101615147 Publication Model: Electronic Cited Medium: Internet ISSN: 2049-2618 (Electronic) Linking ISSN: 20492618 NLM ISO Abbreviation: Microbiome Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London: BioMed Central, 2013-
مواضيع طبية MeSH: Ecosystem* , Microbiota*, Bacteria/genetics ; Microbial Consortia ; Seasons ; Microbial Interactions
مستخلص: Background: Microbial interactions are fundamental for Earth's ecosystem functioning and biogeochemical cycling. Nevertheless, they are challenging to identify and remain barely known. Omics-based censuses are helpful in predicting microbial interactions through the statistical inference of single (static) association networks. Yet, microbial interactions are dynamic and we have limited knowledge of how they change over time. Here, we investigate the dynamics of microbial associations in a 10-year marine time series in the Mediterranean Sea using an approach inferring a time-resolved (temporal) network from a single static network.
Results: A single static network including microbial eukaryotes and bacteria was built using metabarcoding data derived from 120 monthly samples. For the decade, we aimed to identify persistent, seasonal, and temporary microbial associations by determining a temporal network that captures the interactome of each individual sample. We found that the temporal network appears to follow an annual cycle, collapsing, and reassembling when transiting between colder and warmer waters. We observed higher association repeatability in colder than in warmer months. Only 16 associations could be validated using observations reported in literature, underlining our knowledge gap in marine microbial ecological interactions.
Conclusions: Our results indicate that marine microbial associations follow recurrent temporal dynamics in temperate zones, which need to be accounted for to better understand the functioning of the ocean microbiome. The constructed marine temporal network may serve as a resource for testing season-specific microbial interaction hypotheses. The applied approach can be transferred to microbiome studies in other ecosystems. Video Abstract.
(© 2023. The Author(s).)
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فهرسة مساهمة: Keywords: Association network; Microbial interactions; Microorganisms; Ocean; Plankton; Temporal network; Time series
تواريخ الأحداث: Date Created: 20230420 Date Completed: 20230424 Latest Revision: 20231121
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10120119
DOI: 10.1186/s40168-023-01523-z
PMID: 37081491
قاعدة البيانات: MEDLINE
الوصف
تدمد:2049-2618
DOI:10.1186/s40168-023-01523-z