2018
DOI: 10.31219/osf.io/9k7ah
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Molecular tools for coral reef restoration: beyond biomarker discovery

Abstract: As coral reefs continue to decline due to climate change and other stressors, scientists have proposed adopting genomic tools, such as biomarkers, to aid in the conservation and restoration of these threatened ecosystems. Biomarkers are easily measured indicators of higher-order biological processes that can be used to predict or diagnose health, resilience, and other key performance metrics. The ultimate goal of developing biomarkers is to determine the conservation value and utility of a given coral colony, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
22
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 16 publications
(22 citation statements)
references
References 69 publications
0
22
0
Order By: Relevance
“…However, biomarkers are often context‐ and species‐specific (Parkinson et al. ), and therefore multiple markers may be needed depending on the types of information desired. In addition, there are many steps between identifying a potential biomarker and deploying it in the field, and the intermediate steps involved in biomarker development are often overlooked.…”
Section: Choosing Coral Colonies For Restoration: Who and From Where?mentioning
confidence: 99%
See 2 more Smart Citations
“…However, biomarkers are often context‐ and species‐specific (Parkinson et al. ), and therefore multiple markers may be needed depending on the types of information desired. In addition, there are many steps between identifying a potential biomarker and deploying it in the field, and the intermediate steps involved in biomarker development are often overlooked.…”
Section: Choosing Coral Colonies For Restoration: Who and From Where?mentioning
confidence: 99%
“…The process involves four major phases: discovery, validation, field trials, and implementation. At present, the majority of basic scientific research has not progressed past the discovery phase (Parkinson et al 2018a). Consequently, the costs associated with developing practical biomarkers as predictive tools for selective restoration may be high.…”
Section: Box 2: Biomarkersmentioning
confidence: 99%
See 1 more Smart Citation
“…While we recognize and discuss the implications of the fact that gene expression, such as many phenotypic traits, is a function‐valued trait (often in a multivariate state), we focus on a reaction norm framework, in which expression is measured at only a few discrete instances, as this remains the predominant experimental design for gene expression studies (e.g., comparing healthy and diseased tissues or individuals across two different conditions). We also leverage reef‐building corals as a case study for non‐model organisms because their ecological importance and susceptibility to climate change (Hughes et al, 2018) has led to a plethora of transcriptomic studies of stress responses (Box 1; Figure 1; Parkinson et al, 2019; Thomas et al, 2018) that provide tangible examples from which we design our conceptual framework. Nevertheless, the framework described herein can be widely used to interpret gene expression plasticity in any species.…”
Section: Introductionmentioning
confidence: 99%
“…By focusing on understanding the coral transcriptomic response, we can characterize the disease responses to a wide range of potential pathogens and identify core sets of genes that are activated regardless of pathogen stimulation. This will be particularly important in identifying signatures of disease resistance in coral species for restoration activities, while also providing potential diagnostic tools for coral health [ 27 ]. While different diseases may elicit unique responses in corals, we hypothesize that there will also be a core immune response of corals in response to infectious pathogens which can be measured using transcriptomics.…”
Section: Introductionmentioning
confidence: 99%