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

Antoine Tamsa Arfao; Mamert Fils Onana; Luciane Marlyse Moungang; Joel Brice Tchuimaleu Emadjeu; Blandine Pulch&erie Tamatcho Kweyang; Olive Vivien Noah Ewoti; Sim&eon Tchakont&e; Belengfe Sylvie Chinche; T&elesphore Sime-Ngando; Nola Moise

doi:10.5897/AJMR2021.9530

African Journal of
Microbiology Research

Abbreviation: Afr. J. Microbiol. Res.
Language: English
ISSN: 1996-0808
DOI: 10.5897/AJMR
Start Year: 2007
Published Articles: 5238

Full Length Research Paper

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

Antoine Tamsa Arfao

Antoine Tamsa Arfao
Hydrobiology and Environment Laboratory, Faculty of Sciences, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon.
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Mamert Fils Onana

Mamert Fils Onana
Department of Aquatic Ecosystems Management, Institute of Fisheries and Aquatic Sciences, University of Douala, Douala, Cameroon.
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Luciane Marlyse Moungang

Luciane Marlyse Moungang
Hydrobiology and Environment Laboratory, Faculty of Sciences, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon.
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Joel Brice Tchuimaleu Emadjeu

Joel Brice Tchuimaleu Emadjeu
Hydrobiology and Environment Laboratory, Faculty of Sciences, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon.
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Blandine Pulchérie Tamatcho Kweyang

Blandine Pulchérie Tamatcho Kweyang
Microbiology Laboratory, University of Yaounde 1, Faculty of Sciences, P. O. Box 812 Yaounde, Cameroon.
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Olive Vivien Noah Ewoti

Olive Vivien Noah Ewoti
Hydrobiology and Environment Laboratory, Faculty of Sciences, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon.
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Siméon Tchakonté

Siméon Tchakonté
Hydrobiology and Environment Laboratory, Faculty of Sciences, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon.
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Belengfe Sylvie Chinche

Belengfe Sylvie Chinche
Department of Fisheries and Aquatic Resources Management, University of Buea, P. O. Box 63, Buea, Cameroon.
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Télesphore Sime-Ngando

Télesphore Sime-Ngando
Laboratoire Microorganismes Génome et Environnement (LMGE), Université Clermont Auvergne, Aubière Cedex, France.
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Nola Moise

Nola Moise
Hydrobiology and Environment Laboratory, Faculty of Sciences, University of Yaounde 1, P. O. Box 812 Yaounde, Cameroon.
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Article Number - D56066067000
Vol.15(6), pp. 304-317 , June 2021
https://doi.org/10.5897/AJMR2021.9530

Received: 16 March 2021
Accepted: 13 May 2021
Published: 30 June 2021

Abstract

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.