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The ecological significance of antioxidants and oxidative stress: a marriage between mechanistic and functional perspectives

2010· article· en· W1989077931 on OpenAlex

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affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFunctional Ecology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsCentre Hospitalier Universitaire de Sherbrooke
FundersEuropean Regional Development FundNatural Environment Research CouncilEuropean CommissionEesti TeadusfondiArizona State UniversitySchool of Life Sciences, Arizona State UniversityUniversity of CanterburyNational Science Foundation
KeywordsBiologyEcology

Abstract

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Since the 1970s, ecological disciplines have expanded not only into more functional realms, but also to include many technical, mechanistic perspectives (Porter et al. 1973). Technological and conceptual advances – from ecological stoichiometry (Sterner & Elser 2002) to stable isotope measurement (Peterson & Fry 1987; Engel et al. 2009) – have paved the way for improved understandings of the molecular currencies with which organisms interact with their environment, with subdisciplines like nutritional ecology and physiological ecology especially benefitting. Several of these modern breakthroughs are vital not just for basic research, but for applied science as well, as the current Earth’s climate warms, habitats are altered, and as organisms cope with these rapid changes to their thermal and nutritional surroundings. Among the newest of these blossoming ecological areas are ‘antioxidant ecology’ and ‘oxidative-stress ecology’. These sister fields combine to address the fundamental premise that free-ranging organisms are engaged in a molecular battle with free-radicals and other reactive chemical species that are produced by basic metabolic activities. Some such molecules provide key functions in the body (e.g. cell signalling), while others accumulate to damage macromolecules, cells, and tissues. Antioxidant sources – both exogenous (e.g. diet) and endogenous (e.g. enzymes, hormones) – work to offset deleterious effects by quenching reactive species. Biological studies of antioxidants (AOs) and oxidative-stress (OS) have a long history (see Costantini et al. 2010 in this issue for a review), but until recently occurred largely outside of natural contexts (e.g. for biomedical purposes, under in-vitro conditions, to improve longevity of domesticated/captive animals). This initial focus, spanning much of the 20th century, was quite practical, as sources and fluxes of AOs and OS are much more tractable under confined conditions. Within the last few decades, however, we have seen the merger of these lab biochemical and physiological approaches to AOs and OS with ecological principles. Researchers have had to start from the beginning for virtually every taxon, challenged with answering basic questions about natural sources of variation in AOs and OS. How do these molecules vary as a function of species, sex, age, developmental stage, season, time of day, or habitat, for example? And while AOs and OS have clear links to survival and reproduction in the lab, does this hold for organisms in their natural environments? These questions are non-trivial to ask in free-ranging systems, due to the highly dynamic and compartmentalized nature of AO and OS systems. Even compared to other rapidly shifting systems in physiological ecology (e.g. thermal, hormonal, immunological), AO and OS systems are among the most challenging to assess comprehensively, with their sub-second rates of change, diverse types and body-region specificity. Given such immense room for description and development in these fields, a wave of interest in AO and OS ecology has emerged. The primary literature paints a vivid picture of the youth and explosiveness of the fields of antioxidant ecology and oxidative-stress ecology. In a recent survey using the Web of Science, we found that all papers keyworded to contain the words ‘antioxidant*’ and ‘ecolog*’ or ‘oxidative stress’ and ‘ecolog*’ (amounting to 274 and 321 in all, respectively), have appeared in the literature since 1990 (Fig. 1). Moreover, more than 85% of papers from these fields were published in the 2000s (Fig. 1). A fair number of these listings, however, still were biomedically or biochemically focused. When we further examined this 20-year literature history by filtering out those articles not dealing with natural environmental issues, the lists were whittled down to 179 and 285 total publications respectively (Fig. 1). As further evidence of an ecological shift in the new millennium, only 38% (15/39) of the pre-2000 papers were published on antioxidant ecology per se, whereas 70% (164/235) of the post-1999 papers had an ecological emphasis (Fig. 1). The same was generally true for OS publications as well, though these articles were quite highly centred on ecology both before (78%, 14/18) and after 2000 (89%, 271/303). Frequency distribution of published papers on (a) ‘antioxidant ecology’ and (b) ‘oxidative-stress ecology’, as revealed by a database search on 15 July 2010 using the Web of Science® search engine (ISI Web of KnowledgeSM; Thomson Reuters, Philadelphia, PA, USA), which contains primary science journal articles published since 1899. These distributions are not completely independent, as many papers address issues in both antioxidants and oxidative stress. Asterisks indicate that only a partial year of data was available for 2010. These are impressive rates of acceleration for a newborn field that barely existed in the scientific literature just 10 years ago. Even the terms for these fields – antioxidant ecology and oxidative-stress ecology – took quite a while to emerge; a Web of Science search for these precise word strings in mid-July 2010 turned up only 49 and 73 total publications respectively. There are now whole research groups at institutions, such as The Antioxidant Ecology group at the University of Glasgow in Scotland, dedicated to this emergent scientific endeavour. May Berenbaum and colleagues can be credited with many of the first publications on AO ecology, aimed at understanding insect antioxidant systems and how these animals cope with host plant defenses (i.e. detoxifying secondary defensive compounds) (Lee & Berenbaum 1990, 1993). Publication rates remained consistently low until the turn of the century, when seminal papers like Olson & Owens (1998), von Schantz et al. (1999), and Møller et al. (2000) kick-started a new era in research on animal pigmentation, antioxidants and signalling. It certainly was helpful that, at the same time, accessible and repeatable methodologies for assessing total antioxidant capacity (Prior & Cao 1999) and oxidative stress (Finkel & Holbrook 2000) in animals became available. The application of this work to issues in pollution and metal contamination in both aquatic and terrestrial systems (Valavanidis et al. 2006; Koivula & Eeva 2010) speaks directly to the ecological breadth and potential of AO and OS tools. In preparing this 5-paper special feature issue, our aim has been to capture the spirit of these emerging fields and the dedicated efforts to marry mechanistic and functional perspectives to a fundamental challenge for life on Earth – an oxygen-rich environment. First, in a conceptual overview article, Costantini et al. (2010) review the history of the field, providing many of the essential biomedical and biochemical details of AO and OS systems, so that ecologists can be firmly grounded in the origins and early advances in the field. Then, Hõrak & Cohen (2010) flesh out many of the statistical and measurement methodologies and challenges for quantifying AOs and OS in wild plant, animal, and fungal systems. Given the emphasis of this journal, these authors highlight the need to identify functional aspects to AO and OS bioassays before they become widespread. Following these two overview papers are three specialized articles that hone in on salient ecological aspects of AOs and OS. Buttemer, Abele & Costantini (2010) evaluate the evidence that OS and AOs influence longevity in free-ranging organisms, paying special attention to the influences of body size and metabolic rate, for example. Metcalfe & Alonso-Alvarez (2010) examine the degree to which oxidative stress constrains life-history evolution and emphasize how developmental trajectories (including maternal effects), sexual traits, mate selection and senescence are among the most commonly shaped characteristics by OS demands. Finally, Cohen, de Magalhães & Gohil (2010) sift through the extensive pharmacology and epidemiology literature on AOs and OS, to glean approaches and patterns that are more appropriate and most problematic for ecologists. Despite the emerging excitement over antioxidant and oxidative-stress ecology and the wealth of information from which we can now draw, many challenges lie ahead for these fields. Most glossaries in general biology textbooks still lack the keywords ‘antioxidant’ and ‘oxidative stress’ (K. J. McGraw, pers. obs.), symbolic of how specialized these fields are still perceived to be and of the lack of generated interest and understanding from the beginning of most biologist’s careers. Even among enthusiasts, there is initial disagreement about the proper sampling schemes to use, metrics to obtain, and assays to run that capture proper AO functions and balances relative to OS demands (Costantini & Verhulst 2009). Indeed, many of the papers published so far on free-living animals suffer from methodological problems, and even the conceptual issues, such as functional definitions of OS, damage and oxidative balance systems, are still open for discussion. Initial taxonomic biases (i.e. birds; Costantini & Møller 2008; Costantini 2008; Cohen et al. 2008) may also hinder our ability to make broad generalizations about AOs and OS and uncover unique adaptations and trade-offs. In sum, it has been a fruitful first decade of life for AO and OS ecology. We hope that readers find this Special Feature issue in Functional Ecology both timely and useful, in contextualizing historical bodies of research and in stimulating new directions and research collaborations for years to come. During manuscript and special feature preparation, KJM was financially supported by the National Science Foundation (grant no’s: IOS-0746364 and -0923694), the College of Liberal Arts and Sciences and the School of Life Sciences at Arizona State University, and by an Erskine sabbatical fellowship through the University of Canterbury (Christchurch, New Zealand). DC was supported by a NERC postdoctoral research fellowship (NE/G013888/1). PH was financed by Estonian Science Foundation grant no. 7737, the Estonian Ministry of Education and Science (target-financing project no. 0180004s09) and by the European Union through the European Regional Development Fund (Center of Excellence FIBIR).

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.216
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it