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Enregistrement W7161961812 · doi:10.82308/22568

Studies on the importance of the microbiome of cooling towers on Legionella spp. ecology

2020· dissertation· en· W7161961812 sur OpenAlexaboutno aff
Kiran Manu Paranjape

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueLegionella and Acanthamoeba research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLegionella pneumophilaMicrobiomeLegionellaOutbreakColonizationLegionnaires' diseaseHost (biology)Cooling tower

Résumé

récupéré en direct d'OpenAlex

Legionella pneumophila is one of the most important cause of waterborne disease in developed countries. It is the causative agent of Legionnaires’ disease, a severe pneumonia. L. pneumophila is a natural bacterial inhabitant of water systems where it parasitizes and grows in protozoan host species, such as amoeba and ciliates. This adaptation to grow intracellularly has also allowed it to grow within human macrophages. In this way, Legionnaires’ disease is contracted by the inhalation of aerosols contaminated with L. pneumophila, which leads to infections of the lung macrophages and subsequent pneumonia. Cooling towers, used for air conditioning and ventilation systems, are a major source of large outbreaks of Legionnaires’ disease, however the reasons for this are not well understood. Indeed, colonization of cooling towers by L. pneumophila is variable, as some cooling towers are perpetually colonized, and others are almost never colonized. As L. pneumophila is an intracellular parasite, it is believed that the microbiome of cooling towers may play a significant role in the colonization, survival, and proliferation of L. pneumophila in these systems. Consequently, our main objective was to characterize the bacterial and eukaryotic communities of cooling towers and understand their role in L. pneumophila ecology. Another objective was to isolate and characterize bacteria from cooling towers that could stimulate or inhibit L. pneumophila and to study their role in the ecology of L. pneumophila in cooling towers. In order to do this, we characterized the bacterial community of 18 different cooling towers in southern Québec, Canada, using a 16S rRNA amplicon sequencing approach. The findings revealed that the bacterial community of the towers was moulded by several physicochemical factors such as water source and application of chlorine. The continuous application of chlorine was associated with the establishment of a Pseudomonas population. The Pseudomonas counts were negatively correlated with most other taxa identified in the cooling towers, including Legionella. As a result, we concluded that continuous application of chlorine could be an effective way to reduce levels of L. pneumophila in cooling towers. As a second step, we characterized the eukaryotic community using an 18S rRNA sequencing approach and examined its interplay with the bacterial community and the Legionella community. The results revealed that cooling towers contain a diverse community of eukaryotes. Several eukaryotic and bacterial taxa formed a complex network based on co-occurrence. The network revealed that several taxa could potentially affect L. pneumophila ecology. This was demonstrated through the study of the interaction of a Brevundimonas sp. isolate and the ciliate community. These two microbial groups could promote the growth of L. pneumophila through direct and indirect mechanisms, such as nutritional supplementation or promoting host population growth. Finally, our last experiment isolated, identified, and characterized through whole genome sequencing several bacterial isolates that could inhibit L. pneumophila on plate. The analysis of the genomes of these isolates revealed a number of potential antimicrobial gene clusters that could explain the inhibition. Overall, the results suggest that the permissiveness of L. pneumophila colonization, survival, proliferation in cooling towers is dependent on the presence of positive and negative interacting species composing the microbiomes of these environments. Manipulating these microbiomes so that they are not permissive to L. pneumophila could be a potential method to control Legionnaires’ disease outbreaks

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,028
Tête enseignante GPT0,310
Écart entre enseignants0,282 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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