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Investigating the Ability of Growth Models to Predict In Situ Vibrio spp. Abundances

Purgar, Marija; Kapetanović, Damir; Geček, Sunčana; Marn, Nina; Haberle, Ines; Hackenberger Kutuzović, Branimir; Gavrilović, Ana; Pečar Ilić, Jadranka; Hackenberger Kutuzović, Domagoj; Đerđ, Tamara; Ćaleta, Bruno; Klanjšček, Tin (2022) Investigating the Ability of Growth Models to Predict In Situ Vibrio spp. Abundances. Microorganisms, 10 (9). ISSN 2076-2607

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Abstract

Vibrio spp. have an important role in biogeochemical cycles ; some species are disease agents for aquatic animals and/or humans. Predicting population dynamics of Vibrio spp. in natural environments is crucial to predicting how the future conditions will affect the dynamics of these bacteria. The majority of existing Vibrio spp. population growth models were developed in controlled environments, and their applicability to natural environments is unknown. We collected all available functional models from the literature, and distilled them into 28 variants using unified nomenclature. Next, we assessed their ability to predict Vibrio spp. abundance using two new and five already published longitudinal datasets on Vibrio abundance in four different habitat types. Results demonstrate that, while the models were able to predict Vibrio spp. abundance to an extent, the predictions were not reliable. Models often underperformed, especially in environments under significant anthropogenic influence such as aquaculture and urban coastal habitats. We discuss implications and limitations of our analysis, and suggest research priorities ; in particular, we advocate for measuring and modeling organic matter.

Item Type: Article
Uncontrolled Keywords: mechanistic modeling ; primary and secondary growth models overview ; comprehensive datasets ; bacterial growth
Subjects: NATURAL SCIENCES > Mathematics
NATURAL SCIENCES > Biology
NATURAL SCIENCES > Interdisciplinary Natural Sciences
Divisions: Division for Marine and Enviromental Research
Projects:
Project titleProject leaderProject codeProject type
Prilagodba uzgoja bijele ribe klimatskim promjenamaKlanjšček, TinIP-2018-01-3150HRZZ
Depositing User: Ines Haberle
Date Deposited: 04 Apr 2023 12:25
URI: http://fulir.irb.hr/id/eprint/7846
DOI: 10.3390/microorganisms10091765

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