Organic acid driven bacterial interactions in arctic snow

Bacterial interactions are ubiquitous in the environment. For a long time, microbiologists have been considering mostly negative interactions (mainly competition) between microorganisms as the natural selection would only select the most adapted bacteria in the environment. But nowadays, bacterial c...

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Main Author: Bergk Pinto, Benoit
Other Authors: Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ampère, Département Bioingénierie (BioIng), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon, Catherine Larose
Format: Doctoral or Postdoctoral Thesis
Language:French
Published: HAL CCSD 2020
Subjects:
Online Access:https://theses.hal.science/tel-03411873
https://theses.hal.science/tel-03411873/document
https://theses.hal.science/tel-03411873/file/TH_T2764_bbpinto_optimise.pdf
id ftecolecentrlyon:oai:HAL:tel-03411873v1
record_format openpolar
spelling ftecolecentrlyon:oai:HAL:tel-03411873v1 2023-08-15T12:39:59+02:00 Organic acid driven bacterial interactions in arctic snow Etude des interactions bactériennes dans la neige du Svalbard et de leur dynamique liée aux acides organiques Bergk Pinto, Benoit Ampère (AMPERE) École Centrale de Lyon (ECL) Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Ampère, Département Bioingénierie (BioIng) Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL) Université de Lyon Catherine Larose 2020-07-08 https://theses.hal.science/tel-03411873 https://theses.hal.science/tel-03411873/document https://theses.hal.science/tel-03411873/file/TH_T2764_bbpinto_optimise.pdf fr fre HAL CCSD NNT: 2020LYSEC016 tel-03411873 https://theses.hal.science/tel-03411873 https://theses.hal.science/tel-03411873/document https://theses.hal.science/tel-03411873/file/TH_T2764_bbpinto_optimise.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-03411873 Autre. Université de Lyon, 2020. Français. ⟨NNT : 2020LYSEC016⟩ Competition Cooperation Networks Snow Organic acids Microbiologie Compétition Coopération Réseaux Neige Acides organiques [SPI.OTHER]Engineering Sciences [physics]/Other info:eu-repo/semantics/doctoralThesis Theses 2020 ftecolecentrlyon 2023-07-25T20:29:08Z Bacterial interactions are ubiquitous in the environment. For a long time, microbiologists have been considering mostly negative interactions (mainly competition) between microorganisms as the natural selection would only select the most adapted bacteria in the environment. But nowadays, bacterial cooperation is starting to attract more and more attention as microbiologist realize that a significant number of microorganisms are auxotroph for one or more biomolecules and need the presence of other microorganisms in order to grow. This new field of microbiology has been mostly developing thanks to lab controlled co-cultures. Thus we face now the challenge to try to validate the acquired knowledge from the wet lab experiments in the environment.In this thesis, we wanted to validate some observations that had been made in lab controlled co-cultures at the level of an environmental bacterial community. We considered the effect of organic acids (a carbon source) and hypothesized that an increase of organic acids would increase bacterial competition and that bacterial cooperation would drop at the same time. To test this hypothesis we selected two methods to assess bacterial interactions in order to strength our observations. First, we tracked genes reported as being proxy of cooperation (plasmids) or competition (antibiotics resistance genes =ARG) in metagenomes. We used also co-variance networks of 16S rRNA to assess bacterial interactions. This hybrid approach was then used on a bacterial community from the Arctic snow. We decided to study this community because the Arctic snow environment is reported as being highly dynamic and a seasonal increase of organic acids had been previously reported.During our first study, carried out on a time series of snow, we applied successfully our methodology to track bacterial interactions and how it was impacted by the increase of organic acids. In the snow metagenomes, we observed that the ARGs were retrieved in higher abundance in the snow samples having a higher organic acids ... Doctoral or Postdoctoral Thesis Arctic Svalbard Portail HAL - Ecole Centrale de Lyon Arctic Svalbard
institution Open Polar
collection Portail HAL - Ecole Centrale de Lyon
op_collection_id ftecolecentrlyon
language French
topic Competition
Cooperation
Networks
Snow
Organic acids
Microbiologie
Compétition
Coopération
Réseaux
Neige
Acides organiques
[SPI.OTHER]Engineering Sciences [physics]/Other
spellingShingle Competition
Cooperation
Networks
Snow
Organic acids
Microbiologie
Compétition
Coopération
Réseaux
Neige
Acides organiques
[SPI.OTHER]Engineering Sciences [physics]/Other
Bergk Pinto, Benoit
Organic acid driven bacterial interactions in arctic snow
topic_facet Competition
Cooperation
Networks
Snow
Organic acids
Microbiologie
Compétition
Coopération
Réseaux
Neige
Acides organiques
[SPI.OTHER]Engineering Sciences [physics]/Other
description Bacterial interactions are ubiquitous in the environment. For a long time, microbiologists have been considering mostly negative interactions (mainly competition) between microorganisms as the natural selection would only select the most adapted bacteria in the environment. But nowadays, bacterial cooperation is starting to attract more and more attention as microbiologist realize that a significant number of microorganisms are auxotroph for one or more biomolecules and need the presence of other microorganisms in order to grow. This new field of microbiology has been mostly developing thanks to lab controlled co-cultures. Thus we face now the challenge to try to validate the acquired knowledge from the wet lab experiments in the environment.In this thesis, we wanted to validate some observations that had been made in lab controlled co-cultures at the level of an environmental bacterial community. We considered the effect of organic acids (a carbon source) and hypothesized that an increase of organic acids would increase bacterial competition and that bacterial cooperation would drop at the same time. To test this hypothesis we selected two methods to assess bacterial interactions in order to strength our observations. First, we tracked genes reported as being proxy of cooperation (plasmids) or competition (antibiotics resistance genes =ARG) in metagenomes. We used also co-variance networks of 16S rRNA to assess bacterial interactions. This hybrid approach was then used on a bacterial community from the Arctic snow. We decided to study this community because the Arctic snow environment is reported as being highly dynamic and a seasonal increase of organic acids had been previously reported.During our first study, carried out on a time series of snow, we applied successfully our methodology to track bacterial interactions and how it was impacted by the increase of organic acids. In the snow metagenomes, we observed that the ARGs were retrieved in higher abundance in the snow samples having a higher organic acids ...
author2 Ampère (AMPERE)
École Centrale de Lyon (ECL)
Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Ampère, Département Bioingénierie (BioIng)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL)
Université de Lyon
Catherine Larose
format Doctoral or Postdoctoral Thesis
author Bergk Pinto, Benoit
author_facet Bergk Pinto, Benoit
author_sort Bergk Pinto, Benoit
title Organic acid driven bacterial interactions in arctic snow
title_short Organic acid driven bacterial interactions in arctic snow
title_full Organic acid driven bacterial interactions in arctic snow
title_fullStr Organic acid driven bacterial interactions in arctic snow
title_full_unstemmed Organic acid driven bacterial interactions in arctic snow
title_sort organic acid driven bacterial interactions in arctic snow
publisher HAL CCSD
publishDate 2020
url https://theses.hal.science/tel-03411873
https://theses.hal.science/tel-03411873/document
https://theses.hal.science/tel-03411873/file/TH_T2764_bbpinto_optimise.pdf
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Svalbard
genre_facet Arctic
Svalbard
op_source https://theses.hal.science/tel-03411873
Autre. Université de Lyon, 2020. Français. ⟨NNT : 2020LYSEC016⟩
op_relation NNT: 2020LYSEC016
tel-03411873
https://theses.hal.science/tel-03411873
https://theses.hal.science/tel-03411873/document
https://theses.hal.science/tel-03411873/file/TH_T2764_bbpinto_optimise.pdf
op_rights info:eu-repo/semantics/OpenAccess
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