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Eco-Evolutionary Dynamics in Microbial Communities from Spontaneous Fermented Foods

Author

Listed:
  • Anna Y. Alekseeva

    (Laboratory of Genetics, Wageningen University and Research, 6700 HB Wageningen, The Netherlands)

  • Anneloes E. Groenenboom

    (Laboratory of Genetics, Wageningen University and Research, 6700 HB Wageningen, The Netherlands
    Laboratory of Food Microbiology, Wageningen University and Research, 6700 HB Wageningen, The Netherlands)

  • Eddy J. Smid

    (Laboratory of Food Microbiology, Wageningen University and Research, 6700 HB Wageningen, The Netherlands)

  • Sijmen E. Schoustra

    (Laboratory of Genetics, Wageningen University and Research, 6700 HB Wageningen, The Netherlands
    Department of Food Science and Nutrition, School of Agricultural Sciences, University of Zambia, Lusaka 10101, Zambia)

Abstract

Eco-evolutionary forces are the key drivers of ecosystem biodiversity dynamics. This resulted in a large body of theory, which has partially been experimentally tested by mimicking evolutionary processes in the laboratory. In the first part of this perspective, we outline what model systems are used for experimental testing of eco-evolutionary processes, ranging from simple microbial combinations and, more recently, to complex natural communities. Microbial communities of spontaneous fermented foods are a promising model system to study eco-evolutionary dynamics. They combine the complexity of a natural community with extensive knowledge about community members and the ease of manipulating the system in a laboratory setup. Due to rapidly developing sequencing techniques and meta-omics approaches incorporating data in building ecosystem models, the diversity in these communities can be analysed with relative ease while hypotheses developed in simple systems can be tested. Here, we highlight several eco-evolutionary questions that are addressed using microbial communities from fermented foods. These questions relate to analysing species frequencies in space and time, the diversity-stability relationship, niche space and community coalescence. We provide several hypotheses of the influence of these factors on community evolution specifying the experimental setup of studies where microbial communities of spontaneous fermented food are used.

Suggested Citation

  • Anna Y. Alekseeva & Anneloes E. Groenenboom & Eddy J. Smid & Sijmen E. Schoustra, 2021. "Eco-Evolutionary Dynamics in Microbial Communities from Spontaneous Fermented Foods," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10093-:d:643237
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    References listed on IDEAS

    as
    1. Hans Ellegren & Ben C. Sheldon, 2008. "Genetic basis of fitness differences in natural populations," Nature, Nature, vol. 452(7184), pages 169-175, March.
    2. Thomas Bell & Jonathan A. Newman & Bernard W. Silverman & Sarah L. Turner & Andrew K. Lilley, 2005. "The contribution of species richness and composition to bacterial services," Nature, Nature, vol. 436(7054), pages 1157-1160, August.
    3. Dominique Gravel & Thomas Bell & Claire Barbera & Thierry Bouvier & Thomas Pommier & Patrick Venail & Nicolas Mouquet, 2011. "Experimental niche evolution alters the strength of the diversity–productivity relationship," Nature, Nature, vol. 469(7328), pages 89-92, January.
    4. Valentina C Materia & Anita R Linnemann & Eddy J Smid & Sijmen E Schoustra, 2021. "Contribution of traditional fermented foods to food systems transformation: value addition and inclusive entrepreneurship," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(5), pages 1163-1177, October.
    5. Hasan Celiker & Jeff Gore, 2014. "Clustering in community structure across replicate ecosystems following a long-term bacterial evolution experiment," Nature Communications, Nature, vol. 5(1), pages 1-8, December.
    6. Richard E. Lenski & Charles Ofria & Travis C. Collier & Christoph Adami, 1999. "Genome complexity, robustness and genetic interactions in digital organisms," Nature, Nature, vol. 400(6745), pages 661-664, August.
    7. Jef Huisman & Franz J. Weissing, 1999. "Biodiversity of plankton by species oscillations and chaos," Nature, Nature, vol. 402(6760), pages 407-410, November.
    8. Lieven Wittebolle & Massimo Marzorati & Lieven Clement & Annalisa Balloi & Daniele Daffonchio & Kim Heylen & Paul De Vos & Willy Verstraete & Nico Boon, 2009. "Initial community evenness favours functionality under selective stress," Nature, Nature, vol. 458(7238), pages 623-626, April.
    9. Paul B. Rainey & Michael Travisano, 1998. "Adaptive radiation in a heterogeneous environment," Nature, Nature, vol. 394(6688), pages 69-72, July.
    10. Masayuki Machida & Kiyoshi Asai & Motoaki Sano & Toshihiro Tanaka & Toshitaka Kumagai & Goro Terai & Ken-Ichi Kusumoto & Toshihide Arima & Osamu Akita & Yutaka Kashiwagi & Keietsu Abe & Katsuya Gomi &, 2005. "Genome sequencing and analysis of Aspergillus oryzae," Nature, Nature, vol. 438(7071), pages 1157-1161, December.
    11. Thomas Scheuerl & Meirion Hopkins & Reuben W. Nowell & Damian W. Rivett & Timothy G. Barraclough & Thomas Bell, 2021. "Author Correction: Bacterial adaptation is constrained in complex communities," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
    12. Vaughn S. Cooper & Richard E. Lenski, 2000. "The population genetics of ecological specialization in evolving Escherichia coli populations," Nature, Nature, vol. 407(6805), pages 736-739, October.
    13. Richard E. Lenski & Terence C. Burnham, 2018. "Experimental evolution of bacteria across 60,000 generations, and what it might mean for economics and human decision-making," Journal of Bioeconomics, Springer, vol. 20(1), pages 107-124, April.
    14. Erik S. Wright & Kalin H. Vetsigian, 2016. "Inhibitory interactions promote frequent bistability among competing bacteria," Nature Communications, Nature, vol. 7(1), pages 1-7, September.
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