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

Tamsa Arfao Antoine (1) , Fils Onana Mamert (2) , Marlyse Moungang Luciane (1) , Brice Tchuimaleu Emadjeu Joel (1) , Pulchérie Tamatcho Kweyang Blandine (3) , Vivien Noah Ewoti Olive (1) , Tchakonté Siméon (1) , Sylvie Chinche Belengfe (2) , Sime-Ngando Télesphore (4) , Moise Nola (5)

1 Hydrobiology and Environment Laboratory, University of Yaounde 1, Faculty of Sciences, P.O. Box 812 Yaounde, Cameroon
2 Department of Aquatic Ecosystems Management, Institute of Fisheries and Aquatic Sciences, University of Douala
3 Microbiology Laboratory, University of Yaounde 1, Faculty of Sciences
4 LMGE - Laboratoire Microorganismes : Génome et Environnement
5 University of Yaoundé [Cameroun]

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 (CO 2) and ammonium ions (NH 4 +). The visualization of corrgram shows high degree of association between studied parameters. We note a coefficient of determination r 2 = 0.50 for the multiple linear regression model for Heterotrophic Aerobic Bacteria (HAB) and a coefficient of determination r 2 = 0.58 for the MLR model for V. cholerae. The physicochemical parameters explain at 43% (r 2 = 0.43) the distribution of the abundances of V. parahaemolyticus, at 45% (r 2 = 0.45) the distribution of abundances of V. alginolyticus and at 26% (r 2 = 0.26) for V. fluvialis.

Mots clés: Multiple linear regression; visualization of corrgram; environmental parameters; distribution patterns; Vibrionaceae

Domaines: Sciences de l'environnement

Tamsa Arfao Antoine, Fils Onana Mamert, Marlyse Moungang Luciane, Brice Tchuimaleu Emadjeu Joel, Pulchérie Tamatcho Kweyang Blandine, et al.. 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. African Journal of Microbiology Research, 2021, 15 (6), pp.304-317. ⟨10.5897/ajmr2021.9530⟩. ⟨hal-03865466⟩