Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches

In light of current global climate change forecasts, there is an urgent need to better understand how reef-building corals respond to changes in temperature. Multivariate statistical approaches (MSA), including principal components analysis and multidimensional scaling, were used herein to attempt t...

Full description

Bibliographic Details
Main Author: Anderson B. Mayfield
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:http://www.mdpi.com/2077-1312/4/3/63
id doaj-e7c474aec3d44c1b9c9a858a025f7201
record_format Article
spelling doaj-e7c474aec3d44c1b9c9a858a025f72012021-04-02T02:48:25ZengMDPI AGJournal of Marine Science and Engineering2077-13122016-09-01436310.3390/jmse4030063jmse4030063Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical ApproachesAnderson B. Mayfield0National Museum of Marine Biology and Aquarium, Checheng, Pingtung 944, TaiwanIn light of current global climate change forecasts, there is an urgent need to better understand how reef-building corals respond to changes in temperature. Multivariate statistical approaches (MSA), including principal components analysis and multidimensional scaling, were used herein to attempt to understand the response of the common, Indo-Pacific reef coral Seriatopora hystrix to temperature changes using data from laboratory-based temperature challenge studies performed in Southern Taiwan. S. hystrix and its dinoflagellate endosymbionts displayed physiological and molecular signatures that were characteristic of sampling time, site of colony origin, and/or temperature regime. Specifically, upon assessing a series of both host coral and Symbiodinium response variables, corals exposed to fluctuating temperatures were found to display greater variability in their physiological response than experimental controls incubated at stable temperatures. These findings further promote the utility of MSA for documenting biologically meaningful shifts in the physiological and/or sub-cellular response of marine invertebrates exposed to environmental change.http://www.mdpi.com/2077-1312/4/3/63acclimationcoral reefsendosymbiosismolecular biologymultivariate statisticstemperatureupwelling
collection DOAJ
language English
format Article
sources DOAJ
author Anderson B. Mayfield
spellingShingle Anderson B. Mayfield
Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches
Journal of Marine Science and Engineering
acclimation
coral reefs
endosymbiosis
molecular biology
multivariate statistics
temperature
upwelling
author_facet Anderson B. Mayfield
author_sort Anderson B. Mayfield
title Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches
title_short Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches
title_full Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches
title_fullStr Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches
title_full_unstemmed Uncovering Spatio-Temporal and Treatment-Derived Differences in the Molecular Physiology of a Model Coral-Dinoflagellate Mutualism with Multivariate Statistical Approaches
title_sort uncovering spatio-temporal and treatment-derived differences in the molecular physiology of a model coral-dinoflagellate mutualism with multivariate statistical approaches
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2016-09-01
description In light of current global climate change forecasts, there is an urgent need to better understand how reef-building corals respond to changes in temperature. Multivariate statistical approaches (MSA), including principal components analysis and multidimensional scaling, were used herein to attempt to understand the response of the common, Indo-Pacific reef coral Seriatopora hystrix to temperature changes using data from laboratory-based temperature challenge studies performed in Southern Taiwan. S. hystrix and its dinoflagellate endosymbionts displayed physiological and molecular signatures that were characteristic of sampling time, site of colony origin, and/or temperature regime. Specifically, upon assessing a series of both host coral and Symbiodinium response variables, corals exposed to fluctuating temperatures were found to display greater variability in their physiological response than experimental controls incubated at stable temperatures. These findings further promote the utility of MSA for documenting biologically meaningful shifts in the physiological and/or sub-cellular response of marine invertebrates exposed to environmental change.
topic acclimation
coral reefs
endosymbiosis
molecular biology
multivariate statistics
temperature
upwelling
url http://www.mdpi.com/2077-1312/4/3/63
work_keys_str_mv AT andersonbmayfield uncoveringspatiotemporalandtreatmentderiveddifferencesinthemolecularphysiologyofamodelcoraldinoflagellatemutualismwithmultivariatestatisticalapproaches
_version_ 1724174295120216064