Page 46 - Read Online
P. 46

Page 16 of 18               Fabbrini et al. Microbiome Res Rep 2023;2:25  https://dx.doi.org/10.20517/mrr.2023.25

               Ethical approval and consent to participate
               Not applicable.


               Consent for publication
               Not applicable.


               Copyright
               © The Author(s) 2023.


               REFERENCES
               1.       Zelicourt A, Al-Yousif M, Hirt H. Rhizosphere microbes as essential partners for plant stress tolerance. Mol Plant 2013;6:242-5.  DOI
                   PubMed
               2.       Toju H, Peay KG, Yamamichi M, et al. Core microbiomes for sustainable agroecosystems. Nat Plants 2018;4:247-57.  DOI
               3.       Naylor D, Sadler N, Bhattacharjee A, et al. Soil microbiomes under climate change and implications for carbon cycling. Annu Rev
                   Environ Resour 2020;45:29-59.  DOI
               4.       Layeghifard M, Hwang DM, Guttman DS. Disentangling interactions in the microbiome: a network perspective. Trends Microbiol
                   2017;25:217-28.  DOI  PubMed  PMC
               5.       Hooper LV, Littman DR, Macpherson AJ. Interactions between the microbiota and the immune system. Science 2012;336:1268-73.
                   DOI  PubMed  PMC
               6.       Levy M, Thaiss CA, Elinav E. Metabolites: messengers between the microbiota and the immune system. Genes Dev 2016;30:1589-97.
                   DOI  PubMed  PMC
               7.       Ehrlich SD, The MetaHIT Consortium. MetaHIT: the European Union Project on metagenomics of the human intestinal tract. In:
                   Nelson K, editor. Metagenomics of the human body. New York: Springer; 2011. pp. 307-16.  DOI
               8.       McDonald D, Hyde E, Debelius JW, et al. American gut: an open platform for citizen-science microbiome research. mSystems
                   2018;3:e00031-18.  DOI
               9.       Turnbaugh PJ, Hamady M, Yatsunenko T, et al. A core gut microbiome in obese and lean twins. Nature 2009;457:480-4.  DOI
                   PubMed
               10.      Perry RJ, Peng L, Barry NA, et al. Acetate mediates a microbiome-brain-β-cell axis to promote metabolic syndrome. Nature
                   2016;534:213-7.  DOI  PubMed  PMC
               11.      Gülden E, Wong FS, Wen L. The gut microbiota and Type 1 diabetes. Clin Immunol 2015;159:143-53.  DOI  PubMed  PMC
               12.      Morgan XC, Tickle TL, Sokol H, et al. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment.
                   Genome Biol 2012;13:R79.  DOI  PubMed  PMC
               13.      Pascal V, Pozuelo M, Borruel N, et al. A microbial signature for Crohn's disease. Gut 2017;66:813-22.  DOI  PubMed  PMC
               14.      Yu YN, Fang JY. Gut microbiota and colorectal cancer. Gastrointest Tumors 2015;2:26-32.  DOI  PubMed  PMC
               15.      Thompson LR, Sanders JG, McDonald D, et al; Earth microbiome project consortium. A communal catalogue reveals earth's
                   multiscale microbial diversity. Nature 2017;551:457-63.  DOI
               16.      Cavicchioli R, Ripple WJ, Timmis KN, et al. Scientists' warning to humanity: microorganisms and climate change. Nat Rev Microbiol
                   2019;17:569-86.  DOI  PubMed  PMC
               17.      Leblond-Bourget N, Philippe H, Mangin I, Decaris B. 16S rRNA and 16S to 23S internal transcribed spacer sequence analyses reveal
                   inter-and intraspecific Bifidobacterium phylogeny. Int J Syst Bacteriol 1996;46:102-11.  DOI  PubMed
               18.      Milani C, Duranti S, Mangifesta M, et al. Phylotype-level profiling of lactobacilli in highly complex environments by means of an
                   internal transcribed spacer-based metagenomic approach. Appl Environ Microbiol 2018:84.  DOI  PubMed  PMC
               19.      Dohlman AB, Shen X. Mapping the microbial interactome: statistical and experimental approaches for microbiome network inference.
                   Exp Biol Med 2019;244:445-58.  DOI  PubMed  PMC
               20.      Rogers GB, Hoffman LR, Carroll MP, Bruce KD. Interpreting infective microbiota: the importance of an ecological perspective.
                   Trends Microbiol 2013;21:271-6.  DOI  PubMed  PMC
               21.      da Silva D, Castañeda-Ojeda MP, Moretti C, Buonaurio R, Ramos C, Venturi V. Bacterial multispecies studies and microbiome
                   analysis of a plant disease. Microbiology 2014;160:556-66.  DOI  PubMed
               22.      Silk MJ, Croft DP, Delahay RJ, et al. The application of statistical network models in disease research. Methods Ecol Evol
                   2017;8:1026-41.  DOI
               23.      Liu Y, Liu A, Liu X, Huang X. A statistical approach to participant selection in location-based social networks for offline event
                   marketing. Inform Sciences 2019;480:90-108.  DOI
               24.      Cranmer SJ, Leifeld P, Mcclurg SD, Rolfe M. Navigating the range of statistical tools for inferential network analysis. Am J Polit Sci
                   2017;61:237-51.  DOI
               25.      Fujita A, Vidal MC, Takahashi DY. A statistical method to distinguish functional brain networks. Front Neurosci 2017;11:66.  DOI
                   PubMed  PMC
               26.     Dorogovtsev SN, Mendes JFF. Evolution of networks: from biological nets to the internet and WWW. Oxford University Press; 2003.
                   DOI
   41   42   43   44   45   46   47   48   49   50   51