Artículo
Mollusc shell shape as pollution biomarkers: Which is the best biological model?
Gouveia, Nayara; Yokota Harayashiki, Cyntia Ayumi; Marquez, Federico
; Lourenço, Rafael A; Taniguchi, Satie; Castro, Ítalo Braga
Fecha de publicación:
04/2022
Editorial:
Pergamon-Elsevier Science Ltd
Revista:
Marine Pollution Bulletin
ISSN:
0025-326X
e-ISSN:
1879-3363
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Alterations in mollusc shells have been proposed contamination biomarkers. We used geometric morphometrics analyses associated with analytical determinations of contaminants to select suitable biological models among species widely distributed on coastal zones. The study was carried out using Lottia subrugosa (herbivore limpet), Crassostrea brasiliana (filter-feeder bivalve), and Stramonita brasiliensis (carnivore gastropod) obtained along a marked contamination gradient at Santos Estuarine System (Brazil). L. subrugosa and S. brasiliensis presented distinct shapes along the gradient, while no significant differences in shell form were seen for C. brasiliana. Indeed, limpets and snails presented morphometric parameters consistent with measured contamination levels hazardous substances. Based on cross-validation models, the reliability of morphometric responses was over 75% for the herbivore and carnivore species. In addition, for S. brasiliensis, a 95.2% confidence was detected in most contaminated sites. Therefore, shell alterations on carnivorous gastropods should be further investigated, seeking to be effectively employed as pollution biomarkers.
Palabras clave:
BIOMARKER
,
CONTAMINATION
,
MOLLUSCS
,
MORPHOMETRICS
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IBIOMAR)
Articulos de INSTITUTO DE BIOLOGIA DE ORGANISMOS MARINOS
Articulos de INSTITUTO DE BIOLOGIA DE ORGANISMOS MARINOS
Citación
Gouveia, Nayara; Yokota Harayashiki, Cyntia Ayumi; Marquez, Federico; Lourenço, Rafael A; Taniguchi, Satie; et al.; Mollusc shell shape as pollution biomarkers: Which is the best biological model?; Pergamon-Elsevier Science Ltd; Marine Pollution Bulletin; 179; 4-2022; 1-10
Compartir
Altmétricas