Evidence map›Paper›PMID 39041801›Full record

ArticlemSystems2024

Serial fermentation in milk generates functionally diverse community lineages with different degrees of structure stabilization.

Chloé Gapp, Alexis Dijamentiuk, Cécile Mangavel, Cécile Callon, Sébastien Theil, Anne-Marie Revol-Junelles, Christophe Chassard, Frédéric Borges

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chloé GappUniversité de Lorraine, LIBio, Nancy, France.ORCID 0000-0002-1484-9780
Alexis DijamentiukUniversité de Lorraine, LIBio, Nancy, France.ORCID 0000-0003-1639-9434
Cécile MangavelUniversité de Lorraine, LIBio, Nancy, France.ORCID 0000-0002-4582-8675
Cécile CallonUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR 0545 Fromage, Aurillac, France.ORCID 0009-0008-5320-5786
Sébastien TheilUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR 0545 Fromage, Aurillac, France.ORCID 0000-0001-7361-4159
Anne-Marie Revol-JunellesUniversité de Lorraine, LIBio, Nancy, France.ORCID 0000-0001-6145-1161
Christophe ChassardUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR 0545 Fromage, Aurillac, France.ORCID 0009-0009-4638-0495
Frédéric BorgesUniversité de Lorraine, LIBio, Nancy, France.ORCID 0000-0002-6159-5509

Funding

Association Nationale de la Recherche et de la Technologie (ANRT) CIFRE 2020/1026
6 · The paper itself

Abstract

Microbial communities offer considerable potential for tackling environmental challenges by improving the functioning of ecosystems. Top-down community engineering is a promising strategy that could be used to obtain communities of desired function. However, the ecological factors that control the balance between community shaping and propagation are not well understood. Dairy backslopping, which consists of using part of the previous production to inoculate a new one, can be used as a model engineering approach to investigate community dynamics during serial propagations. In this study, 26 raw milk samples were serially propagated 6 times each, giving rise to 26 community lineages. Bacterial community structures were analyzed by metabarcoding, and acidification was recorded by pH monitoring. The results revealed that different types of community lineages could be obtained in terms of taxonomic composition and dynamics. Five lineages reached a repeatable community structure in a few propagation steps, with little variation between the final generations, giving rise to stable acidification kinetics. Moreover, these stabilized communities presented a high variability of structure and diverse acidification properties between community lineages. Besides, the other lineages were characterized by different levels of dynamics leading to parallel or divergent trajectories. The functional properties and dynamics of the communities were mainly related to the relative abundance and the taxonomic composition of lactic acid bacteria within the communities. These findings highlight that short-term schemes of serial fermentation can produce communities with a wide range of dynamics and that the balance between community shaping and propagation is intimately linked to community structure. IMPORTANCE: Microbiome applications require approaches for shaping and propagating microbial communities. Shaping allows the selection of communities with desired taxonomic and functional properties, while propagation allows the production of the biomass required to inoculate the engineered communities in the target ecosystem. In top-down community engineering, where communities are obtained from a pool of mixed microorganisms by acting on environmental variables, a major challenge is to master the balance between shaping and propagation. However, the ecological factors that favor high dynamics of community structure and, conversely, those that favor stability during propagation are not well understood. In this work, short-term dairy backslopping was used to investigate the key role of the taxonomic composition and structure of bacterial communities on their dynamics. The results obtained open up interesting prospects for the biotechnological use of microbiomes, particularly in the field of dairy fermentation, to diversify approaches for injecting microbial biodiversity into cheesemaking processes.

Indexed as

FermentationMicrobiotaMilkAnimalsBacteriaHydrogen-Ion Concentrationbacksloppingcommunity structureecological trajectoryfermentationlactic acid bacteriamicrobiome engineeringraw milkserial propagation

Identifiers

PMID39041801
PMCPMC11334471

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.