Abiotic Stress of Seagrasses: Recent Advances in Transcriptomics, Genomics, and Systems Biology

Malandrakis, Emmanouil E.; Danis, Theodoros; Iona, Athanasia; Exadactylos, Athanasios

doi:10.1007/978-3-319-62094-7_6

Cited by 4 publications

(4 citation statements)

References 54 publications

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“…While traditional indicators deliver information on physiological state, environmental quality, and structural growth (Roca et al, 2016), the metabolome compliments these by presenting the chemical response of the plant (Nakabayashi & Saito, 2015), providing a holistic impression of the biological system. Metabolites change in response to environmental stimuli (Malandrakis et al, 2017a), and have cascading effects on indicators such as growth rate (Meyer et al, 2007), therefore exploring these relationships provides information on how changes in the metabolome are projected into changes in the measurable traits of a plant. Nevertheless, understanding of the molecular biology of seagrasses is very limited compared to what is known about terrestrial plants (Davey et al, 2016) and research into seagrass metabolomics is in its infancy (Kumar et al, 2016).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…unidentifiable (Hasler-Sheetal et al, 2016, 2015. Once more information is gathered concerning stress-response, seagrasses can become even better bioindicators of marine ecosystem health (Malandrakis et al, 2017a), in particular by integrating them into traditional ecological monitoring programs (Kletou et al, 2018).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Omics tools promise earlier and more targeted detection of stress (Malandrakis et al, 2017a), as they have the potential to reveal how seagrasses respond to abiotic stress, and how tolerance is obtained (Exadactylos, 2015), which could contribute to seagrass management and conservation (Macreadie et al, 2014). Since the turn of the century, and the genome sequencing of the model plant Arabidopsis thaliana (The Arabidopsis Genome Initiative, 2000), these tools have helped gain a deeper understanding into the molecular function of plants.…”

Section: Introductionmentioning

confidence: 99%

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Metabolomics and traditional indicators unveil stress of a seagrass (Cymodocea nodosa) meadow at intermediate distance from a fish farm

Kock

Hasler-Sheetal

Holmer

et al. 2020

Ecological Indicators

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Seasonal variation of structural, physiological and growth indicators and the metabolome of the seagrass Cymodocea nodosa, as well as biogeochemical conditions of underlying sediment were studied in two meadows growing at increasing distance downstream from a fish farm in the Aegean Sea in order to assess seagrass performance under stress. Horizontal rhizome production decreased significantly with proximity to the fish farm (0.67 and 1.57 g DW m-2 d-ACCEPTED MANUSCRIPT 1 close and far from the fish-farm, respectively). This coincided with observed effects on ecophyiological indicators, such as rhizome nitrogen, leaf carbon and leaf δ 13 C, which were elevated with proximity to the fish-farm. Seasonality was shown by some indicators being elevated in either in the warm (C of all tissues and leaf δ 34 S) or the cold period (N of all tissues). Growth promoting metabolites (sucrose, fructose, myo-inositol, heptacosane, tetracosane, stigmasterol, catechin and alpha-tocopherol) were lower close to the zone, whereas metabolites involved with stress-response (alanine, serine, proline, putrescine, ornithine, 3,4dihydroxybenzoic acid and cinnamic acid) were higher. We found that growth-promoting metabolites were positively correlated with horizontal rhizome production, whereas the metabolites related to stress were negatively correlated. Metabolomic fingerprinting of seagrass provides opportunities for early detection of environmental degradation in marine ecological studies.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Metabolomics and traditional indicators unveil stress of a seagrass (Cymodocea nodosa) meadow at intermediate distance from a fish farm

Kock

Hasler-Sheetal

Holmer

et al. 2020

Ecological Indicators

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“…For example, accounting for anabolic efficiencies of biomass production appear critical to the ability to forecast complex ecological dynamics (Boit et al, 2012;Kath et al, 2018) and to predict positive effects of mutualism on the diversity, stability and functions of complex ecosystems (Hale et al, 2020). A particularly fascinating opportunity to study this may be to apply the systems biology of seagrass metabolism and production (Kumar and Ralph, 2017;Malandrakis et al, 2017) toward understanding the costs and benefits of rewarding animal pollinators (Hale et al, 2020) within these critically important marine ecosystems (Van Tussenbroek et al, 2016).…”

Section: Future Directionsmentioning

confidence: 99%

Allometric Trophic Networks From Individuals to Socio-Ecosystems: Consumer–Resource Theory of the Ecological Elephant in the Room

Martinez

2020

Front. Ecol. Evol.

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A well-known parable is that of the blind men studying an elephant each of which assert the elephant is the part they first hold in their hands, e.g., "rope!" says the tail holder while the leg holder asserts "tree!" The various subdisciplines of ecology appear similar in that we each engage in our enthusiastic but at least somewhat myopic study with remarkably limited agreement or even discussion about the overall system which we all study. Allometric trophic network (ATN) theory offers a path out of this dilemma by integrating across scales, taxa, habitats and organizational levels from physiology to ecosystems based on consumer-resource interactions among co-existing organisms. The network architecture and the metabolic and behavioral processes that determine the structure and dynamics of these interactions form the first principles of ATN theory, which in turn provides a synthetic overview and powerfully predictive framework for ecology from organisms to ecosystems. Beyond ecology, ATN theory also synthesizes eco-evolutionary and socio-ecological research still largely based on consumer-resource mechanisms but respectively integrated with different processes including natural selection and market mechanisms. This paper briefly describes foundations, advances, and future directions of ATN theory including predicting an ecosystem's phenotype from its community's genotype in order to accelerate more predictive and unified understanding of the complex systems studied by ecologists and other environmental scientists.

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Effects of hyposalinity on ion content, organic osmolytes, and lipid peroxidation in the seagrass Halodule wrightii

Kowalski,

Cammarata,

Persans

et al. 2024

Hydrobiologia

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Abiotic Stress of Seagrasses: Recent Advances in Transcriptomics, Genomics, and Systems Biology

Cited by 4 publications

References 54 publications

Metabolomics and traditional indicators unveil stress of a seagrass (Cymodocea nodosa) meadow at intermediate distance from a fish farm

Metabolomics and traditional indicators unveil stress of a seagrass (Cymodocea nodosa) meadow at intermediate distance from a fish farm

Allometric Trophic Networks From Individuals to Socio-Ecosystems: Consumer–Resource Theory of the Ecological Elephant in the Room

Effects of hyposalinity on ion content, organic osmolytes, and lipid peroxidation in the seagrass Halodule wrightii

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