IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i19p10093-d643237.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/19/10093/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/19/10093/
    Download Restriction: no
    ---><---

    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. Jef Huisman & Franz J. Weissing, 1999. "Biodiversity of plankton by species oscillations and chaos," Nature, Nature, vol. 402(6760), pages 407-410, November.
    7. Paul B. Rainey & Michael Travisano, 1998. "Adaptive radiation in a heterogeneous environment," Nature, Nature, vol. 394(6688), pages 69-72, July.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicholas Leiby & Christopher J Marx, 2014. "Metabolic Erosion Primarily Through Mutation Accumulation, and Not Tradeoffs, Drives Limited Evolution of Substrate Specificity in Escherichia coli," PLOS Biology, Public Library of Science, vol. 12(2), pages 1-10, February.
    2. Aisling J. Daly & Jan M. Baetens & Bernard De Baets, 2018. "Ecological Diversity: Measuring the Unmeasurable," Mathematics, MDPI, vol. 6(7), pages 1-28, July.
    3. Rashleigh, Brenda & DeAngelis, Donald L., 2007. "Conditions for coexistence of freshwater mussel species via partitioning of fish host resources," Ecological Modelling, Elsevier, vol. 201(2), pages 171-178.
    4. Roopnarain, Ashira & Rama, Haripriya & Ndaba, Busiswa & Bello-Akinosho, Maryam & Bamuza-Pemu, Emomotimi & Adeleke, Rasheed, 2021. "Unravelling the anaerobic digestion ‘black box’: Biotechnological approaches for process optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    5. Pavão, D.C. & Elias, R.B. & Silva, L., 2019. "Comparison of discrete and continuum community models: Insights from numerical ecology and Bayesian methods applied to Azorean plant communities," Ecological Modelling, Elsevier, vol. 402(C), pages 93-106.
    6. Sergey Bartsev & Andrey Degermendzhi, 2023. "The Evolutionary Mechanism of Formation of Biosphere Closure," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    7. Marten Scheffer & Remi Vergnon & Egbert H van Nes & Jan G M Cuppen & Edwin T H M Peeters & Remko Leijs & Anders N Nilsson, 2015. "The Evolution of Functionally Redundant Species; Evidence from Beetles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    8. Chen, Miao & Liu, Shujun & Yuan, Xufeng & Li, Qing X. & Wang, Fengzhong & Xin, Fengjiao & Wen, Boting, 2021. "Methane production and characteristics of the microbial community in the co-digestion of potato pulp waste and dairy manure amended with biochar," Renewable Energy, Elsevier, vol. 163(C), pages 357-367.
    9. Jin Xu & Peifang Wang & Yi Li & Lihua Niu & Zhen Xing, 2019. "Shifts in the Microbial Community of Activated Sludge with Different COD/N Ratios or Dissolved Oxygen Levels in Tibet, China," Sustainability, MDPI, vol. 11(8), pages 1-12, April.
    10. Clark, James R. & Daines, Stuart J. & Lenton, Timothy M. & Watson, Andrew J. & Williams, Hywel T.P., 2011. "Individual-based modelling of adaptation in marine microbial populations using genetically defined physiological parameters," Ecological Modelling, Elsevier, vol. 222(23), pages 3823-3837.
    11. Shyamal K. De & Bhargab Chattopadhyay, 2017. "Minimum Risk Point Estimation of Gini Index," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 247-277, November.
    12. Just Dengerink & Florentine Dirks & Eunice Likoko & Joost Guijt, 2021. "One size doesn’t fit all: regional differences in priorities for food system transformation," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(6), pages 1455-1466, December.
    13. Gina Paola Rodriguez-Castaño & Federico E Rey & Alejandro Caro-Quintero & Alejandro Acosta-González, 2020. "Gut-derived Flavonifractor species variants are differentially enriched during in vitro incubation with quercetin," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-21, December.
    14. Lei Zhang & Yu Cheng & Guang Gao & Jiahu Jiang, 2019. "Spatial-Temporal Variation of Bacterial Communities in Sediments in Lake Chaohu, a Large, Shallow Eutrophic Lake in China," IJERPH, MDPI, vol. 16(20), pages 1-18, October.
    15. Hairong Lin & Chunhua Wang & Fei Yu & Jingru Sun & Sichun Du & Zekun Deng & Quanli Deng, 2023. "A Review of Chaotic Systems Based on Memristive Hopfield Neural Networks," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    16. Ryo Mizuuchi & Taro Furubayashi & Norikazu Ichihashi, 2022. "Evolutionary transition from a single RNA replicator to a multiple replicator network," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    17. MacPherson, Brian & Gras, Robin, 2016. "Individual-based ecological models: Adjunctive tools or experimental systems?," Ecological Modelling, Elsevier, vol. 323(C), pages 106-114.
    18. López-Ruiz, Ricardo & Fournier-Prunaret, Danièle, 2009. "Periodic and chaotic events in a discrete model of logistic type for the competitive interaction of two species," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 334-347.
    19. Trobia, José & de Souza, Silvio L.T. & dos Santos, Margarete A. & Szezech, José D. & Batista, Antonio M. & Borges, Rafael R. & Pereira, Leandro da S. & Protachevicz, Paulo R. & Caldas, Iberê L. & Iaro, 2022. "On the dynamical behaviour of a glucose-insulin model," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    20. Mulderij, Gabi & Van Nes, Egbert H. & Van Donk, Ellen, 2007. "Macrophyte–phytoplankton interactions: The relative importance of allelopathy versus other factors," Ecological Modelling, Elsevier, vol. 204(1), pages 85-92.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10093-:d:643237. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.