Literature DB >> 33834254

The ecology of wine fermentation: a model for the study of complex microbial ecosystems.

C G Conacher1, N A Luyt1, R K Naidoo-Blassoples1, D Rossouw1, M E Setati1, F F Bauer2.   

Abstract

The general interest in microbial ecology has skyrocketed over the past decade, driven by technical advances and by the rapidly increasing appreciation of the fundamental services that these ecosystems provide. In biotechnology, ecosystems have many more functionalities than single species, and, if properly understood and harnessed, will be able to deliver better outcomes for almost all imaginable applications. However, the complexity of microbial ecosystems and of the interactions between species has limited their applicability. In research, next generation sequencing allows accurate mapping of the microbiomes that characterise ecosystems of biotechnological and/or medical relevance. But the gap between mapping and understanding, to be filled by "functional microbiomics", requires the collection and integration of many different layers of complex data sets, from molecular multi-omics to spatial imaging technologies to online ecosystem monitoring tools. Holistically, studying the complexity of most microbial ecosystems, consisting of hundreds of species in specific spatial arrangements, is beyond our current technical capabilities, and simpler model systems with fewer species and reduced spatial complexity are required to establish the fundamental rules of ecosystem functioning. One such ecosystem, the ecosystem responsible for natural alcoholic fermentation, can provide an excellent tool to study evolutionarily relevant interactions between multiple species within a relatively easily controlled environment. This review will critically evaluate the approaches that are currently implemented to dissect the cellular and molecular networks that govern this ecosystem. KEY POINTS: • Evolutionarily isolated fermentation ecosystem can be used as an ecological model. • Experimental toolbox is gearing towards mechanistic understanding of this ecosystem. • Integration of multidisciplinary datasets is key to predictive understanding.

Keywords:  Ecology; Higher order interactions; Synthetic ecology; Wine microbiome; Yeast-yeast interactions

Year:  2021        PMID: 33834254     DOI: 10.1007/s00253-021-11270-6

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  92 in total

Review 1.  Engineering microbial consortia: a new frontier in synthetic biology.

Authors:  Katie Brenner; Lingchong You; Frances H Arnold
Journal:  Trends Biotechnol       Date:  2008-07-31       Impact factor: 19.536

2.  A flow cytometry method for bacterial quantification and biomass estimates in activated sludge.

Authors:  M R Brown; C L Hands; T Coello-Garcia; B S Sani; A I G Ott; S J Smith; R J Davenport
Journal:  J Microbiol Methods       Date:  2019-03-26       Impact factor: 2.363

3.  Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate.

Authors:  Nicholas A Bokulich; John H Thorngate; Paul M Richardson; David A Mills
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-25       Impact factor: 11.205

4.  Winemaking and bioprocesses strongly shaped the genetic diversity of the ubiquitous yeast Torulaspora delbrueckii.

Authors:  Warren Albertin; Laura Chasseriaud; Guillaume Comte; Aurélie Panfili; Adline Delcamp; Franck Salin; Philippe Marullo; Marina Bely
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

Review 5.  Microbial Consortia Engineering for Cellular Factories: in vitro to in silico systems.

Authors:  Hans C Bernstein; Ross P Carlson
Journal:  Comput Struct Biotechnol J       Date:  2012-12-01       Impact factor: 7.271

6.  Associations among Wine Grape Microbiome, Metabolome, and Fermentation Behavior Suggest Microbial Contribution to Regional Wine Characteristics.

Authors:  Nicholas A Bokulich; Thomas S Collins; Chad Masarweh; Greg Allen; Hildegarde Heymann; Susan E Ebeler; David A Mills
Journal:  mBio       Date:  2016-06-14       Impact factor: 7.867

7.  The Microbiome Modeling Toolbox: from microbial interactions to personalized microbial communities.

Authors:  Federico Baldini; Almut Heinken; Laurent Heirendt; Stefania Magnusdottir; Ronan M T Fleming; Ines Thiele
Journal:  Bioinformatics       Date:  2019-07-01       Impact factor: 6.937

8.  Establishment of Coral-Bacteria Symbioses Reveal Changes in the Core Bacterial Community With Host Ontogeny.

Authors:  Rachele Bernasconi; Michael Stat; Annette Koenders; Andrea Paparini; Michael Bunce; Megan J Huggett
Journal:  Front Microbiol       Date:  2019-07-09       Impact factor: 5.640

9.  Next-generation sequencing reveals significant bacterial diversity of botrytized wine.

Authors:  Nicholas A Bokulich; C M Lucy Joseph; Greg Allen; Andrew K Benson; David A Mills
Journal:  PLoS One       Date:  2012-05-01       Impact factor: 3.240

10.  Ecological interactions are a primary driver of population dynamics in wine yeast microbiota during fermentation.

Authors:  Bahareh Bagheri; Florian Franz Bauer; Gianluigi Cardinali; Mathabatha Evodia Setati
Journal:  Sci Rep       Date:  2020-03-18       Impact factor: 4.379

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  4 in total

1.  Consideration of Maintenance in Wine Fermentation Modeling.

Authors:  Alain Rapaport; Robert David; Denis Dochain; Jérôme Harmand; Thibault Nidelet
Journal:  Foods       Date:  2022-06-08

2.  Yeast and Filamentous Fungi Microbial Communities in Organic Red Grape Juice: Effect of Vintage, Maturity Stage, SO2, and Bioprotection.

Authors:  Sara Windholtz; Emmanuel Vinsonneau; Laura Farris; Cécile Thibon; Isabelle Masneuf-Pomarède
Journal:  Front Microbiol       Date:  2021-12-24       Impact factor: 5.640

3.  Visualizing the next frontiers in wine yeast research.

Authors:  I S Pretorius
Journal:  FEMS Yeast Res       Date:  2022-03-11       Impact factor: 2.923

Review 4.  Truth in wine yeast.

Authors:  Ramon Gonzalez; Pilar Morales
Journal:  Microb Biotechnol       Date:  2021-06-26       Impact factor: 6.575

  4 in total

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