Diversity and functional analysis of luxS genes in Vibrios from marine sponges Mycale laxissima and Ircinia strobilina

Jindong Zan; Clay Fuqua; Russell T Hill

doi:10.1038/ismej.2011.31

Diversity and functional analysis of luxS genes in Vibrios from marine sponges Mycale laxissima and Ircinia strobilina

The ISME Journal ◽

10.1038/ismej.2011.31 ◽

2011 ◽

Vol 5 (9) ◽

pp. 1505-1516 ◽

Cited By ~ 19

Author(s):

Jindong Zan ◽

Clay Fuqua ◽

Russell T Hill

Keyword(s):

Functional Analysis ◽

Marine Sponges ◽

Ircinia Strobilina ◽

Mycale Laxissima

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Monitoring Bacterial Diversity of the Marine Sponge Ircinia strobilina upon Transfer into Aquaculture

Applied and Environmental Microbiology ◽

10.1128/aem.00454-08 ◽

2008 ◽

Vol 74 (13) ◽

pp. 4133-4143 ◽

Cited By ~ 63

Author(s):

Naglaa M. Mohamed ◽

Venkateswara Rao ◽

Mark T. Hamann ◽

Michelle Kelly ◽

Russell T. Hill

Keyword(s):

Marine Sponge ◽

Denaturing Gradient Gel Electrophoresis ◽

Biological Activities ◽

Marine Sponges ◽

Molecular Techniques ◽

Ex Situ ◽

Recirculating Aquaculture ◽

Promising Strategy ◽

Ircinia Strobilina ◽

Gradient Gel Electrophoresis

ABSTRACT Marine sponges in the genus Ircinia are known to be good sources of secondary metabolites with biological activities. A major obstacle in the development of sponge-derived metabolites is the difficulty in ensuring an economic, sustainable supply of the metabolites. A promising strategy is the ex situ culture of sponges in closed or semiclosed aquaculture systems. In this study, the marine sponge Ircinia strobilina (order Dictyoceratida: family Irciniidae) was collected from the wild and maintained for a year in a recirculating aquaculture system. Microbiological and molecular community analyses were performed on freshly collected sponges and sponges maintained in aquaculture for 3 months and 9 months. Chemical analyses were performed on wild collected sponges and individuals maintained in aquaculture for 3 months and 1 year. Denaturing gradient gel electrophoresis was used to assess the complexity of and to monitor changes in the microbial communities associated with I. strobilina. Culture-based and molecular techniques showed an increase in the Bacteroidetes and Alpha- and Gammaproteobacteria components of the bacterial community in aquaculture. Populations affiliated with Beta- and Deltaproteobacteria, Clostridia, and Planctomycetes emerged in sponges maintained in aquaculture. The diversity of bacterial communities increased upon transfer into aquaculture.

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Clinical Issues: What’s in a Word? A Functional Analysis of Word Learning

Perspectives on Language Learning and Education ◽

10.1044/lle12.3.4 ◽

2005 ◽

Vol 12 (3) ◽

pp. 4-8 ◽

Cited By ~ 7

Author(s):

Prahlad Gupta

Keyword(s):

Functional Analysis ◽

Word Learning ◽

Clinical Issues

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Review for "High‐throughput single‐cell sequencing of paired TCRα and TCRβ genes for the direct expression‐cloning and functional analysis of murine T cell receptors"

10.1002/eji.201848030/v1/review1 ◽

2019 ◽

Keyword(s):

Functional Analysis ◽

T Cell ◽

Single Cell ◽

High Throughput ◽

T Cell Receptors ◽

Expression Cloning ◽

Cell Receptors ◽

Single Cell Sequencing

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Case Formulation and Design of Behavioral Treatment Programs

European Journal of Psychological Assessment ◽

10.1027//1015-5759.19.3.164 ◽

2003 ◽

Vol 19 (3) ◽

pp. 164-174 ◽

Cited By ~ 27

Author(s):

Stephen N. Haynes ◽

Andrew E. Williams

Keyword(s):

Functional Analysis ◽

Behavior Problems ◽

Behavioral Treatment ◽

Clinical Case ◽

Relative Magnitude ◽

Mechanisms Of Action ◽

Treatment Programs ◽

Case Formulation ◽

Functional Relations ◽

Causal Variables

Summary: We review the rationale for behavioral clinical case formulations and emphasize the role of the functional analysis in the design of individualized treatments. Standardized treatments may not be optimally effective for clients who have multiple behavior problems. These problems can affect each other in complex ways and each behavior problem can be influenced by multiple, interacting causal variables. The mechanisms of action of standardized treatments may not always address the most important causal variables for a client's behavior problems. The functional analysis integrates judgments about the client's behavior problems, important causal variables, and functional relations among variables. The functional analysis aids treatment decisions by helping the clinician estimate the relative magnitude of effect of each causal variable on the client's behavior problems, so that the most effective treatments can be selected. The parameters of, and issues associated with, a functional analysis and Functional Analytic Clinical Case Models (FACCM) are illustrated with a clinical case. The task of selecting the best treatment for a client is complicated because treatments differ in their level of specificity and have unequally weighted mechanisms of action. Further, a treatment's mechanism of action is often unknown.

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