Quantitative models of nitrogen-fixing organisms

Inomura, Keisuke; Deutsch, Curtis; Masuda, Takako; Prášil, Ondřej; Follows, Michael J.

doi:10.1016/j.csbj.2020.11.022

Cited by 19 publications

(19 citation statements)

References 292 publications

(495 reference statements)

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“…Three groups of quantitative models i.e., simple equations, coarse-grained models and detailed metabolic models are generally applied for exploring the nitrogen fixation in N 2fixing organisms [15]. The computation becomes less efficient and model-data comparisons become harder in the different types of models with increase in complexity of metabolic processes.…”

Section: Resultsmentioning

confidence: 99%

“…Thus, the approximate values of shoot nitrogen content in chickpea and faba bean can be predicted at different concentrations of fertilizer nitrogen in the soil using these models. Such quantitative models have earlier been used to complement the laboratory experiments and in situ measurements of nitrogen fixation [15]- [16].…”

Section: Discussionmentioning

confidence: 99%

“…Considering the importance of nitrogen fixation for different legume crops, extensive analysis is required to understand the contibution of nitrogen fixation by rhizobia under soil conditions. Recently, three groups of quantitative models including simple equations, coarse-grained models and detailed metabolic models have been developed for analysis and prediction of nitrogen fixation by N 2 -fixing organisms in terrestrial ecosystems [15]. These models have been used to complement the laboratory experiments and in situ measurements of N 2 fixation [15], [16].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, three groups of quantitative models including simple equations, coarse-grained models and detailed metabolic models have been developed for analysis and prediction of nitrogen fixation by N 2 -fixing organisms in terrestrial ecosystems [15]. These models have been used to complement the laboratory experiments and in situ measurements of N 2 fixation [15], [16]. Different modeling strategies and mathematical theories were used in these models to interpret observations of fixed N uptake for making predictions about their influence on N 2 fixation by free-living or symbiotic organisms, where laboratory data are missing.…”

Section: Introductionmentioning

confidence: 99%

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Development of Novel Predictive Models For Estimation of Nitrogen Fixation Under Cultural and Field Conditions Using R Software

2021

IJATCSE

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Farmers apply chemical fertilizers in the field soil to provide nitrogen and phosphorus nutrients for improving growth and yield of crop plants to provide food for ever-increasing human population. But, injudicious use of these chemical fertilizers results in environmental pollution and causes public health hazards. Recently, various nitrogen-fixing microorganisms are used as biofertilizers to reduce the application of chemical fertilizers. However, the survival and nitrogen (N 2 ) fixation capacity of these microorganisms is adversely affected under stress conditions in recent changing agroclimatic scenario. In the present study, predictive models were developed to study biological nitrogen fixation (BNF) behaviour of rhizobia in response to exogenous nitrogen (N) level conditions under culture as well as in the soil using R software. With increase in concentration of ammonium (NH 4 + ) or nitrate (NO 3 -) (represented along X axis in the graph) in the cultural medium, there is sequential fall in nitrogenase activity of Rhizobium strain 32H1 (on Y axis). Under field conditions, the comparisons of fertilizer addition showed that N 2 fixation was partially suppressed after addition of 150 kg N per hactare in faba bean (Vicia faba) and chickpea (Cicer arietinum) species under glasshouse pots trial conditions. Predictive models were developed using R software to indicate the approximate values of nitrogen fixation in chickpea and faba bean under field and glasshouse conditions with application of different doses of fertilizers. These linear and non-linear predictive models could be applied to predict behaviour of nitrogen-fixing rhizobia in response to available nitrogen level under cultural as well as field conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of Novel Predictive Models For Estimation of Nitrogen Fixation Under Cultural and Field Conditions Using R Software

2021

IJATCSE

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“…These studies proposed that unicellular diazotrophs can be competitors with non-diazotrophic phytoplankton for combined N. However, how Crocosphaera competes for combined N is poorly evaluated. In this study, we combine an in situ microcosm experiment with N addition at the nanomolar level and model (23) to evaluate the competitiveness of Crocosphaera in a N limiting environment.…”

Section: Introductionmentioning

confidence: 99%

Crocosphaeraas a major consumer of fixed nitrogen despite its capability of nitrogen fixation

Masuda

Inomura

Kodama

et al. 2021

Preprint

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Crocosphaera watsonii (hereafter Crocosphaera) is a key nitrogen (N) fixer in the ocean, but its ability to consume combined N sources is still unclear. Using in situ microcosm incubations with an ecological model, we show that Crocosphaera has high competitive capability both under low and moderately high combined N concentrations. In field incubations, Crocosphaera accounted for the highest consumption of ammonium and nitrate, followed by pico-eukaryotes. The model analysis shows that cells have a high ammonium uptake rate (~7 mol N (mol N)-1 d-1 at the maximum), which allows them to compete against pico-eukaryotes and non-diazotrophic cyanobacteria when combined N is sufficiently available. Even when combined N is depleted, their capability of nitrogen fixation allows higher growth rates compared to potential competitors. These results suggest the high fitness of Crocosphaera in combined N limiting, oligotrophic oceans, and thus heightens its potential significance in its ecosystem and in biogeochemical cycling.

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Mathematical Basis for Diatom Growth Modeling

Sardari

2023

The Mathematical Biology of Diatoms

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Quantitative models of nitrogen-fixing organisms

Abstract: Graphical abstract

Cited by 19 publications

References 292 publications

Development of Novel Predictive Models For Estimation of Nitrogen Fixation Under Cultural and Field Conditions Using R Software

Development of Novel Predictive Models For Estimation of Nitrogen Fixation Under Cultural and Field Conditions Using R Software

Crocosphaeraas a major consumer of fixed nitrogen despite its capability of nitrogen fixation

Mathematical Basis for Diatom Growth Modeling

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