التفاصيل البيبلوغرافية
| العنوان: |
Investigating the Ability of Growth Models to Predict In Situ Vibrio spp. Abundances |
| المؤلفون: |
Marija Purgar, Damir Kapetanović, Sunčana Geček, Nina Marn, Ines Haberle, Branimir K. Hackenberger, Ana Gavrilović, Jadranka Pečar Ilić, Domagoj K. Hackenberger, Tamara Djerdj, Bruno Ćaleta, Tin Klanjscek |
| المصدر: |
Microorganisms; Volume 10; Issue 9; Pages: 1765 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2022 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
mechanistic modeling, primary and secondary growth models overview, comprehensive datasets, bacterial growth |
| جغرافية الموضوع: |
agris |
| الوصف: |
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. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Environmental Microbiology; https://dx.doi.org/10.3390/microorganisms10091765 |
| DOI: |
10.3390/microorganisms10091765 |
| الاتاحة: |
https://doi.org/10.3390/microorganisms10091765 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.72D65BEE |
| قاعدة البيانات: |
BASE |