Dynamic model of flexible phytoplankton nutrient uptake

Bonachela, Juan A.; Raghib, Michael; Levin, Simon A.

doi:10.1073/pnas.1118012108

Cited by 122 publications

(143 citation statements)

References 35 publications

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“…To link to laboratory studies of phytoplankton physiology, we build on the work of Shuter (1979) and Geider et al (1996) while noting that the recent work (Buescher et al 2012) has also demonstrated the potential of coarse-grained models of subcellular physiology to capture key cost-benefit trade-offs, as determined by detailed omics-based investigations. Importantly, the approach, based on subcellular resource allocation, can represent individual acclimation (as dynamic reallocation to components (Geider et al 1997;Bonachela et al 2011), diversity (as constant allocation defined by traits), and adaptation (as changes in allocation through reproduction with variation).…”

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confidence: 99%

Environmental selection and resource allocation determine spatial patterns in picophytoplankton cell size

Clark

Lenton

Williams

et al. 2013

Limnology & Oceanography

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Here we describe a new trait-based model for cellular resource allocation that we use to investigate the relative importance of different drivers for small cell size in phytoplankton. Using the model, we show that increased investment in nonscalable structural components with decreasing cell size leads to a trade-off between cell size, nutrient and light affinity, and growth rate. Within the most extreme nutrient-limited, stratified environments, resource competition theory then predicts a trend toward larger minimum cell size with increasing depth. We demonstrate that this explains observed trends using a marine ecosystem model that represents selection and adaptation of a diverse community defined by traits for cell size and subcellular resource allocation. This framework for linking cellular physiology to environmental selection can be used to investigate the adaptive response of the marine microbial community to environmental conditions and the adaptive value of variations in cellular physiology.A key challenge facing marine biogeochemical modelers is how best to represent the important role that diverse, rapidly evolving microbial populations play in marine biogeochemical cycles. Simple models, which may include just a single state variable for all phytoplankton (e.g., Fasham et al. 1990), often ignore the distinct functional role that different taxa perform (e.g., silicifying, or calcifying organisms), while more complicated models, which attempt to explicitly resolve multiple functional types (Le Quéré et al. 2005), can face severe practical problems in terms of the number of organism-level measurements and parameters required to describe the model (Anderson 2005;Flynn 2006). A still more fundamental problem lies in how best to represent adaptive or evolutionary processes, which are typically ignored in current state-of-the-art marine ecosystem models.Recent approaches have attempted to address some of these issues (Follows and Dutkiewicz 2011). For example, Follows et al. (2007) used a Monte-Carlo sampling method with a marine ecosystem model that included a diverse phytoplankton community, described by a set of empirically motivated traits with trade-offs. Emergent patterns in phytoplankton biogeography were in broad agreement with observations, illustrating the importance of environmental selection in determining spatial and temporal patterns in phytoplankton biogeography. The same model has also been used to examine drivers for latitudinal patterns in biodiversity (Barton et al. 2010) and the effect of chromatic adaptation on community structure in oligotrophic environments (Hickman et al. 2010). Meanwhile, Bruggeman and Kooijman (2007) described a biodiversity-based marine ecosystem model in which species were defined by a generic model with continuous trait values for investment in nutrient-and light-harvesting machinery. In their model, trade-offs between traits emerged naturally as a result of different allocation strategies. When configured for a representative oligotrophic open-ocean sit...

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mentioning

confidence: 99%

Environmental selection and resource allocation determine spatial patterns in picophytoplankton cell size

Clark

Lenton

Williams

et al. 2013

Limnology & Oceanography

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“…Menurut Litchman et al (2004), kandungan nutrien dalam perairan dimanfaatkan oleh fitoplankton. Penyerapan nutrien oleh fitoplankton bersifat dinamik berdasarkan kondisi lingkungan perairan (Bonachela et al, 2011).…”

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Variasi Kandungan Nutrien dalam Tambak Wanamina dengan Komposisi Jenis dan Jumlah Tegakan Mangrove yang Berbeda di Pesisir Kota Semarang

Hastuti

Budihastuti

2016

BAF

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ABSTRAKKeberadaan vegetasi mangrove dalam tambak wanamina berfungsi sebagai penyedia jasa lingkungan, diantaranya dalam pengendalian suplai nutrien ke dalam kolam. Penelitian ini bertujuan untuk mengkaji variasi kandungan nutrien dalam tambak wanamina dan menguji pengaruh jenis serta jumlah tegakan terhadap perubahan kandungan nutrien tambak wanamina. Penelitian dilaksanakan selama 4 bulan dengan perlakuan jenis vegetasi (A. marina; R. mucronata; Campuran) dan jumlah tegakan mangrove (5 tegakan; 10 tegakan; 15 tegakan). Kandungan nutrien yang diamati meliputi bahan organik, nitrat, nitrogen dan fosfat terlarut. Pengamatan dilakukan sebanyak 2 kali dengan jeda waktu 1 bulan. Pengujian dilakukan dengan uji-t dan ANOVA. Hasil pengamatan menunjukkan bahwa terdapat variasi kandungan nutrien dalam tambak wanamina baik pada pengamatan pertama maupun kedua. Pola perubahan kandungan nutrien bervariasi antar jenis nutrien dimana pada beberapa perlakuan ditemukan penurunan kandungan semua jenis nutrien. Hasil uji-t menunjukkan bahwa antar periode pengamatan tidak terdapat perbedaan yang signifikan terhadap kandungan bahan organik, nitrat, nitrogen dan fosfat terlarut. Hasil ANOVA menunjukkan bahwa tidak terdapat pengaruh yang signifikan terhadap kandungan nutrien dalam tambak wanamina baik pada pengamatan pertama maupun kedua. Perbedaan kandungan nutrien yang signifikan hanya diperoleh pada kandungan bahan organik pada pengamatan pertama. Kata kunci: jenis, jumlah tegakan, mangrove, nutrien, wanamina ABSTRACTThe presence of mangrove vegetation in silvofishery ponds provide environmental services, such as controling nutrient supply to the ponds. This research aimed to study the variations of nutrient concentration in silvofishery pond and to analyze the effect of mangrove species and stand population on the change of nutrient concentration in silvofishery ponds. Research was conducted for 4 months involving treatments of mangrove species (A. marina; R. mucronata; Mixed) and stand population (5 stands; 10 stands; 15 stands). Concentration of nutrient observed in this research were dissolved organic matter, nitrate, nitrogen and phosphate. Observations were conducted twice with spare period of 1 month. Analysis were conducted with ttest and ANOVA. The observation result showed there were variation of nutrient concentration in silvofishery pond for both first and second observations. Change pattern of nutrients were varied among nutrient types, were some treatments showed consistent decrease for all nutrient types. Result of t-test showed there were no significant difference of dissolved organic matter, nitrate, nitrogen and phosphate resulted from first and second observations. ANOVA showed generally there were no significant efect of the treatments on the concentration of nutrient in silvofishery pond partially in first observation and second obsercation. Significant difference of nutrient concentration was achieved from organic matter in first observation.

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“…The frequent culture dilutions can be time consuming and labour intensive, particularly for long-term experiments. Depending on how often the dilutions are performed, periodic variations in nutrient concentrations can also affect the physiological state of the cells [19,20]. For ocean acidification experiments with phytoplankton, reduction of culture medium pCO 2 by photosynthesis is of particular concern and this is affected by cell density.…”

Section: Introductionmentioning

confidence: 99%

Development of a Continuous Phytoplankton Culture System for Ocean Acidification Experiments

Wynn‐Edwards

King

Kawaguchi

et al. 2014

Water

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Abstract:Around one third of all anthropogenic CO 2 emissions have been absorbed by the oceans, causing changes in seawater pH and carbonate chemistry. These changes have the potential to affect phytoplankton, which are critically important for marine food webs and the global carbon cycle. However, our current knowledge of how phytoplankton will respond to these changes is limited to a few laboratory and mesocosm experiments. Long-term experiments are needed to determine the vulnerability of phytoplankton to enhanced pCO 2 . Maintaining phytoplankton cultures in exponential growth for extended periods of time is logistically difficult and labour intensive. Here we describe a continuous culture system that greatly reduces the time required to maintain phytoplankton cultures, and minimises variation in experimental pCO 2 treatments over time. This system is simple, relatively cheap, flexible, and allows long-term experiments to be performed to further our understanding of chronic responses and adaptation by phytoplankton species to future ocean acidification.

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Dynamic model of flexible phytoplankton nutrient uptake

Cited by 122 publications

References 35 publications

Environmental selection and resource allocation determine spatial patterns in picophytoplankton cell size

Environmental selection and resource allocation determine spatial patterns in picophytoplankton cell size

Variasi Kandungan Nutrien dalam Tambak Wanamina dengan Komposisi Jenis dan Jumlah Tegakan Mangrove yang Berbeda di Pesisir Kota Semarang

Development of a Continuous Phytoplankton Culture System for Ocean Acidification Experiments

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