Distribution patterns of Vibrionaceae abundance on the landing stages in coastal area: Understanding the influence of physicochemical variables by using multiple linear regression models and corrgram for matrix correlation
| Autor: | Olive Vivien Noah Ewoti, Antoine Tamsa Arfao, Blandine Pulch erie Tamatcho Kweyang, Joel Brice Tchuimaleu Emadjeu, Nola Moise, Sim eon Tchakont e, Luciane Marlyse Moungang, Belengfe Sylvie Chinche, T elesphore Sime-Ngando, Mamert Fils Onana |
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| Přispěvatelé: | Hydrobiology and Environment Laboratory, University of Yaounde 1, Faculty of Sciences, P.O. Box 812 Yaounde, Cameroon, Department of Aquatic Ecosystems Management, Institute of Fisheries and Aquatic Sciences, University of Douala, Microbiology Laboratory, University of Yaounde 1, Faculty of Sciences, Laboratoire Microorganismes : Génome et Environnement (LMGE), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Université de Yaoundé I, Université de Douala, University of Yaoundé [Cameroun] |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine Veterinary medicine Aerobic bacteria Vibrionaceae 030106 microbiology environmental parameters Plant Science 01 natural sciences Microbiology distribution patterns 03 medical and health sciences Abundance (ecology) 010608 biotechnology Linear regression 14. Life underwater Multiple linear regression Vibrio alginolyticus biology Vibrio parahaemolyticus biology.organism_classification 6. Clean water Vibrio Infectious Diseases visualization of corrgram Vibrio fluvialis [SDE]Environmental Sciences |
| Zdroj: | African Journal of Microbiology Research African Journal of Microbiology Research, Academic Journal, 2021, 15 (6), pp.304-317. ⟨10.5897/AJMR2021.9530⟩ African Journal of Microbiology Research, 2021, 15 (6), pp.304-317. ⟨10.5897/AJMR2021.9530⟩ African Journal of Microbiology Research, 2021, 15 (6), pp.304-317. ⟨10.5897/ajmr2021.9530⟩ |
| ISSN: | 1996-0808 |
| DOI: | 10.5897/ajmr2021.9530 |
| Popis: | The present work used multiple linear regression (MLR) models and corrgram to assess the importance of environmental parameters on diversity and abundance dynamics of Vibrio sp. in waters of few landing stages in the city of Douala (Cameroon). It was recorded in all the five selected stations, the presence of four species of Vibrio namely, Vibrio parahaemolyticus, Vibrio cholerae, Vibrio fluvialis and Vibrio alginolyticus whose highest abundance reached 5.65, 6.26, 4.9 and 4.83 log CFU/100 ml respectively. Vibrio cholerae was the most isolated during the study with a frequency of 65%. The abundance dynamics of these germs is strongly influenced by nitrates, salinity, dissolved carbon dioxyde (CO2) and ammonium ions (NH4+). The visualization of corrgram shows high degree of association between studied parameters. We note a coefficient of determination r2 = 0.50 for the multiple linear regression model for Heterotrophic Aerobic Bacteria (HAB) and a coefficient of determination r2 = 0.58 for the MLR model for V. cholerae. The physicochemical parameters explain at 43% (r2 = 0.43) the distribution of the abundances of V. parahaemolyticus, at 45% (r2 = 0.45) the distribution of abundances of V. alginolyticus and at 26% (r2 = 0.26) for V. fluvialis. Keywords: Multiple linear regression, visualization of corrgram, environmental parameters, distribution patterns, Vibrionaceae. |
| Databáze: | OpenAIRE |
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