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Photosynthesis-and-Respiration

The Calvin Cycle (AKA Light-Independent Reactions)

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The Calvin(-Benson-Bassham) (CBB) cycle, also named reductive pentose phosphate pathway or dark reactions, is a group of biochemical reactions in photoautotrophs

These reactions form the light-independent stage of photosynthesis, where the energy converted from light is used to assimilate carbon dioxide from the atmosphere. 

The fixed carbon molecules are incorporated into carbohydrates, which are consumed by the heterotrophs. The carbohydrate intermediates produced during the Calvin cycle can also be converted to precursors of proteins and lipids that also feed consumers in the food chain.

The Calvin Cycle and Photosynthesis

Photosynthesis in eukaryotic organisms such as cyanobacteria, green algae, and plants occurs in chloroplasts and can be divided into light-dependent and independent stages.

The light-dependent reactions begin when photoreceptors in the thylakoid membrane capture photons, energy from sunlight. The solar energy excites electrons in photoreceptors clustered into photosystems I and II (PSI and II).

The excited electrons go through the electron transport chain, reducing nicotinamide adenine dinucleotide phosphate (NADP+) into NADPH and oxidizing water into oxygen.   

During the transfer of electrons, proton gradients are generated across the thylakoid membrane, leading to adenosine triphosphate (ATP) synthesis in the stroma; this process is called photophosphorylation.

Illustration on the mechanism of photosynthesis

Figure 1: The two stages of photosynthesis: light-dependent reactions and the Calvin cycle.
(Source: Modified from Boyer, 2006 and Heldt, 2005).[1,2]

The second stage of photosynthesis occurs in a repeated set of biochemical reactions called the Calvin-Benson-Bassham or Calvin cycle, dark reactions, or the reductive pentose phosphate pathway (named after the cycle’s first substrate, a pentose phosphate).

The cycle starts by capturing atmospheric carbon dioxide (CO2), incorporating it into a five-carbon substrate, thus resulting in a six-carbon intermediate. Subsequently, ATP and NADPH generated during the light-dependent reactions are consumed to transform the six-carbon product into two molecules of a three-carbon phosphate sugar (triose phosphate).

A fraction of the triose phosphate is transported to the cytoplasm for carbohydrate synthesis – the final product of photosynthesis. Most of the triose phosphate molecules remain in the chloroplast so that they are used to regenerate the first substrate of the Calvin cycle – they leave the chloroplast only after they’ve been converted to DHAP.

NB: ADP and NADP+ from energy-consuming reactions are recycled to the light-dependent reactions so that they can participate in the electron transfer process.[1,2]

Figure 2: Overview of the Calvin cycle (Source: Mike Jones User: Adenosine, CC BY-SA 2.5 <https://creativecommons.org/licenses/by-sa/2.5>, via Wikimedia Commons).    

Reactions in the Calvin Cycle

Despite the name dark reactions, the Calvin cycle does not necessarily occur in the dark.

In fact, the Calvin cycle is coupled with water oxidation, the last electron transfer reaction in PSII that occurs after the capture of sunlight energy. Electron transfer helps generate NADPH and ATP, which are used in the Calvin cycle.

Therefore, the Calvin cycle is more likely to happen during daylight after the light-dependent stage has sufficiently produced NADPH and ATP.

The biochemical reactions in the Calvin cycle can be grouped into three phases based on their tasks:

1. Carbon Fixation

Also known as the carboxylation phase, the first step in the Calvin cycle comprises only one irreversible reaction catalyzed by the enzyme ribulose-1,5-bisphosphate carboxylase/oxygenase (RubisCO). Read how enzymes are able to act as biocatalysts.

Here, atmospheric carbon dioxide (CO2) is fixed and incorporated into a five-carbon pentose phosphate, ribulose-1,5-bisphosphate (RuBP). The reaction produces a highly reactive six-carbon keto acid intermediate, 2-carboxy 3-keto arabinitol 1,5-bisphosphate.

The intermediate is hydrolyzed and split in half to yield two 3-phosphoglycerate (3PGA) molecules ultimately. Each is then subjected to successive reactions in the Calvin cycle and transformed into phosphate sugars.

RubisCo is the most abundant enzyme on Earth and the only one capable of fixing CO2 from the atmosphere. Thus, the rate of carbon fixation is considerably slow, which is thought to be the reason behind its large quantity in photosynthetic tissue.

Hence, RubisCo-catalyzed carboxylation acts as both the rate-limiting and committed step of the Calvin cycle.[2,3]

How does photorespiration accompany RubisCo-catalyzed carbon fixation?

Apart from CO2, RubisCo also captures atmospheric oxygen (O2) and assimilates it to RuBP during photorespiration.

Instead of two 3PGA molecules, RubisCo-catalyzed oxygen condensation produces one 3PGA and another two-carbon molecule, 2phosphoglycolate (2PGC).  

The 3PGA molecule produced from photorespiration can supply the Calvin cycle in a similar manner to those produced from carbon fixation. However, the two-carbon product, 2PGC, must be translocated and modified before re-entering the chloroplast and converted to 3PGA before the fixed oxygen molecule can participate in the Calvin cycle.[2]

2. Reduction Phase

Each 3PGA generated from carbon fixation undergoes successive reduction reactions so that it is transformed into a triose phosphate (C3H7O6P). The three-carbon sugar phosphate can serve as a precursor in the biosynthesis of carbohydrates and the regeneration of RuBP in the last phase of the CBB cycle. 

The transformation of 3PGA to triose phosphate occurs in two steps:

2.1. The phosphorylation of 3PGA

This first step in 3PGA transformation is catalyzed by the enzyme 3-phosphoglycerate kinase. The reaction dephosphorylates ATP and produces  1,3-bisphosphoglycerate (BPG), ADP and inorganic phosphate.

2.2. The generation of glyceraldehyde 3-phosphate (G3P)

This second step in 3PGA transformation is catalyzed by NADP-glyceraldehyde 3-phosphate dehydrogenase. The carboxylic acid phospho-anhydride portion of the BPG reacts with the thiol group in the active center of the enzyme, resulting in the formation of a thioester bond. Subsequently, the thioester bond is hydrolyzed to form the product glyceraldehyde 3-phosphate (G3P).

Thioester bond hydrolysis requires a substantial amount of energy and is coupled with the oxidation of NADPH to NAPD+. Thus, the generation of G3P from BPG reduction is irreversible.

Thus, the reduction phase of the cycle can be summarized into:[2]

3PGA + ATP + NADPH —> Triose phosphate (G3P ⇌ DHAP)

Combined with the carbon fixation, both stages can be summarized into:

RuBP + CO2 + ATP + NADPH  —> Triose phosphate (G3P ⇌ DHAP)

G3P is the first synthesized triose phosphate and it is converted to its isomer by the enzyme triose phosphate isomerase into dihydroxyacetone phosphate (DHAP). Both G3P and DHAP contain three-carbon atoms, and DHAP is more favorable in the equilibrium than G3P.[2]        

Is a fraction of triose phosphate used to synthesize sugar and starch?

One-sixth of the synthesized triose phosphate (G3P and DHAP) is used as precursors in the biosynthesis of sugar and starch.

When two triose phosphate molecules are available, they condense, forming a six-carbon molecule, fructose-1,6-bisphosphate (FBP). It is subsequently hydrolyzed into fructose-6-phosphate, an isomer of glucose-6-phosphate that serves as one of the precursors in sugar, starch, and cellulose biosynthesis.[2]

Generally, starch is synthesized from triose phosphate that remains in the stroma during the day. Sugar and cellulose are synthesized after triose phosphate is transported to the cytosol via a specific transporter.[3]

In addition to sugar and starch, G3P and DHAP can be converted into amino acids and fatty acids, which are building blocks for proteins and lipids. 

3. Regeneration Phase

The majority of the triose phosphate remains in the stroma and undergoes several chemical rearrangement reactions. At the end of the regeneration phase, the carbon-fixing RuBP is regenerated and available to restart the cycle.

In this phase, the reactions consist of a series of aldol condensation, dephosphorylation, and transketolase reactions that lead to the generation of a five-carbon sugar-phosphate – ribulose-5-phosphate (Ru5P).

The steps include:[2,3] 

3.1. The formation of fructose-6-phosphate (F6P)

The three-carbon triose phosphate is transformed into six-carbon fructose-6-phosphate (F6P) in two steps:

  • The condensation of G3P and DHAP by the enzyme aldolase. This reaction results in a six-carbon molecule, fructose-1,6-bisphosphate (FBP).
  • The hydrolysis of FBP by the enzyme fructose-1,6-bisphosphatase irreversibly dephosphorylates FBP, converting it into F6P.

3.2. The generation of ribulose-5-phosphate (Ru5P)

In this step, F6B can exit the CBB cycle to supply other metabolic pathways as per cellular needs.  

F6B which remains in the CBB cycle participates in several transfers of carbon atoms so that it is transformed into a five-carbon pentose phosphate molecule, ribulose-5-phosphate (Ru5P).

The enzymes transketolase or aldolase can catalyze the transfer of carbon atoms. Transketolase moves the carbon atoms from the ketone portion of the donor molecule and adds them to the aldehyde group of the accepting molecules. Aldolase catalyzes the condensation between ketone and aldehyde molecules.

The following are the metabolites and the number of their carbon atoms generated from transketolase-catalyzed carbon transfer:

  • 3.2.1.   Erythrose-4-phosphate (E4P)

Erythrose-4-phosphate (E4P) is a four-carbon metabolite resulting from the removal of two carbon atoms from F6B, facilitated by the enzyme transketolase.

  • 3.2.2.   Xylulose-5-phosphate (X5P)

Xylulose-5-phosphate (X5P) is a five-carbon metabolite generated from two transketolase-dependent transfers.

The first X5P is synthesized from the transfer of two carbon atoms from F6B to the three-carbon triose phosphate, G3P.

Later on, another X5P is generated in a similar manner. However, the two carbon atoms are from the ketone group of a seven-carbon metabolite, sedoheptulose-7-phosphate (S7P).

X5P is a Ru5P epimer and can be converted to Ru5P by the enzyme ribulose phosphate epimerase.

  • 3.2.3.   The 3-carbon sugars

Sedoheptulose-1,7-bisphosphate (SBP) and sedoheptulose-7-phosphate (S7P) are seven-carbon metabolites in the light-independent stage of photosynthesis.

SBP is generated from the transfer of DHAP, the three-carbon metabolite, to the four-carbon metabolite, E4P, which is catalyzed by transaldolase.   

S7P is subsequently generated from the irreversible dephosphorylation of SBP, catalyzed by the enzyme sedoheptulose-1,7-bisphosphatase.

  • 3.2.4.   Ribose-5-phosphate (R5P)

Ribose-5-phosphate (R5P) is a five-carbon metabolite that is the residual from the transfer of two carbon atoms from S7P to G3P to form X5P.

R5P is a Ru5P isomer and can be converted to Ru5P by the enzyme ribose phosphate isomerase.  

Thus, the processes in the generation of Ru5P can be summarized into:[2]

FBP + 2G3P + DHAP + 2H2O  —> 2X5P + R5P + 2Pi

The two water molecules are used in the hydrolysis of FBP into F6P and SBP into S7P, which also produces two inorganic phosphates. X5P and R5P are enzymatically converted into Ru5P.

Thus, three Ru5P (3×5 carbon atoms) are generated from five molecules of triose phosphate (5×3 carbon atoms), two of which are condensed into FBP in the previous step of the regeneration phase.

3. Phosphorylation of ribulose-5-phosphate (Ru5P)

In the last step of the regeneration phase, Ru5P is irreversibly phosphorylated by the enzyme ribulose phosphate kinase. The reaction consumes ATP and transforms Ru5P into ribulose-1,5-bisphosphate (RuBP).

RuBP synthesized at the end of the regeneration phase replenishes the RuBP in CO2 fixation. If ATP and NADPH are available, the regenerated RuBP will be consumed in the next round of the cycle.

The regeneration phase can be summarized into the following equation:[3]

5 Triose phosphate + 3ATP + 2H2O —> 3RuBP + 3ADP + 3Pi

Based on the summarized equation, three RuBP molecules are regenerated from five molecules of triose phosphate, which, based on the previous stages are from three rounds of CO2 fixation.

Rubisco-catalyzed CO2 fixation and assimilation into RuBP results in two 3PGA. Each consumes one ATP and NADPH and transforms into a triose phosphate (C3H7O6P) molecule. One-sixth of the triose phosphates produced by the cycle is used in carbohydrate synthesis pathways, while the rest remains and enters the regeneration phase.  

Thus, the overall Calvin cycle can be summarized into:[3]

3CO2 + 5H20 + 9ATP + 6NADPH —> C3H7O6P + 9ADP + 9Pi + 6NADP+

Since ADP, inorganic phosphates, and NADP+ eventually resupply the light reactions, it can be concluded that the many biochemical reactions in the dark reaction contribute only one product to photosynthesis, a three-carbon triose phosphate, glyceraldehyde 3-phosphate (G3P). Two or more of the G3P molecules are subsequently used to synthesize starch and sugar.

In Conclusion

The Calvin cycle starts with RubisCo-fixation of atmospheric CO2 and assimilation into a five-carbon ribulose-1,6-bisphosphate (RuBP), followed by a reduction phase, and the regeneration of its carbon-accepting substrate, RuBP.

Along the way, a fraction of the three-carbon product, glyceraldehyde 3-phosphate (G3P), leaves the cycle and serves as precursors in the biosynthesis of sugar and starch.

It marks the second stage of photosynthesis when ATP and NADPH produced during the first stage are consumed to set the stage for carbohydrate synthesis. And of course, it also enables photosynthesis to provide food and raw materials to heterotrophs in the ecosystem.  

References:

  1. Boyer R, Concepts in Biochemistry, 3rd edition. New Jersey: John Wiley & Sons; 2006.
  2. Heldt H-W and Piechulla B, Plant Biochemistry. 4th edition. San Diago, California: Academic Press; 2011.
  3. Bhatla SC and Lal MA, Plant Physiology, Development, and Metabolism. Singapore: Springer Nature Singapore; 2018

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Introduction

In behavioral neuroscience, the Open Field Test (OFT) remains one of the most widely used assays to evaluate rodent models of affect, cognition, and motivation. It provides a non-invasive framework for examining how animals respond to novelty, stress, and pharmacological or environmental manipulations. Among the test’s core metrics, the percentage of time spent in the center zone offers a uniquely normalized and sensitive measure of an animal’s emotional reactivity and willingness to engage with a potentially risky environment.

This metric is calculated as the proportion of time spent in the central area of the arena—typically the inner 25%—relative to the entire session duration. By normalizing this value, researchers gain a behaviorally informative variable that is resilient to fluctuations in session length or overall movement levels. This makes it especially valuable in comparative analyses, longitudinal monitoring, and cross-model validation.

Unlike raw center duration, which can be affected by trial design inconsistencies, the percentage-based measure enables clearer comparisons across animals, treatments, and conditions. It plays a key role in identifying trait anxiety, avoidance behavior, risk-taking tendencies, and environmental adaptation, making it indispensable in both basic and translational research contexts.

Whereas simple center duration provides absolute time, the percentage-based metric introduces greater interpretability and reproducibility, especially when comparing different animal models, treatment conditions, or experimental setups. It is particularly effective for quantifying avoidance behaviors, risk assessment strategies, and trait anxiety profiles in both acute and longitudinal designs.

What Does Percentage of Time in the Centre Measure?

This metric reflects the relative amount of time an animal chooses to spend in the open, exposed portion of the arena—typically defined as the inner 25% of a square or circular enclosure. Because rodents innately prefer the periphery (thigmotaxis), time in the center is inversely associated with anxiety-like behavior. As such, this percentage is considered a sensitive, normalized index of:

  • Exploratory drive vs. risk aversion: High center time reflects an animal’s willingness to engage with uncertain or exposed environments, often indicative of lower anxiety and a stronger intrinsic drive to explore. These animals are more likely to exhibit flexible, information-gathering behaviors. On the other hand, animals that spend little time in the center display a strong bias toward the safety of the perimeter, indicative of a defensive behavioral state or trait-level risk aversion. This dichotomy helps distinguish adaptive exploration from fear-driven avoidance.

  • Emotional reactivity: Fluctuations in center time percentage serve as a sensitive behavioral proxy for changes in emotional state. In stress-prone or trauma-exposed animals, decreased center engagement may reflect hypervigilance or fear generalization, while a sudden increase might indicate emotional blunting or impaired threat appraisal. The metric is also responsive to acute stressors, environmental perturbations, or pharmacological interventions that impact affective regulation.

  • Behavioral confidence and adaptation: Repeated exposure to the same environment typically leads to reduced novelty-induced anxiety and increased behavioral flexibility. A rising trend in center time percentage across trials suggests successful habituation, reduced threat perception, and greater confidence in navigating open spaces. Conversely, a stable or declining trend may indicate behavioral rigidity or chronic stress effects.

  • Pharmacological or genetic modulation: The percentage of time in the center is widely used to evaluate the effects of pharmacological treatments and genetic modifications that influence anxiety-related circuits. Anxiolytic agents—including benzodiazepines, SSRIs, and cannabinoid agonists—reliably increase center occupancy, providing a robust behavioral endpoint in preclinical drug trials. Similarly, genetic models targeting serotonin receptors, GABAergic tone, or HPA axis function often show distinct patterns of center preference, offering translational insights into psychiatric vulnerability and resilience.

Critically, because this metric is normalized by session duration, it accommodates variability in activity levels or testing conditions. This makes it especially suitable for comparing across individuals, treatment groups, or timepoints in longitudinal studies.

A high percentage of center time indicates reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance. reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance.

Behavioral Significance and Neuroscientific Context

1. Emotional State and Trait Anxiety

The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity, where animals exhibit persistent avoidance of the center due to heightened emotional reactivity. This metric can also distinguish between acute anxiety responses and enduring trait anxiety, especially in longitudinal or developmental studies. Its normalized nature makes it ideal for comparing across cohorts with variable locomotor profiles, helping researchers detect true affective changes rather than activity-based confounds.

2. Exploration Strategies and Cognitive Engagement

Rodents that spend more time in the center zone typically exhibit broader and more flexible exploration strategies. This behavior reflects not only reduced anxiety but also cognitive engagement and environmental curiosity. High center percentage is associated with robust spatial learning, attentional scanning, and memory encoding functions, supported by coordinated activation in the prefrontal cortex, hippocampus, and basal forebrain. In contrast, reduced center engagement may signal spatial rigidity, attentional narrowing, or cognitive withdrawal, particularly in models of neurodegeneration or aging.

3. Pharmacological Responsiveness

The open field test remains one of the most widely accepted platforms for testing anxiolytic and psychotropic drugs. The percentage of center time reliably increases following administration of anxiolytic agents such as benzodiazepines, SSRIs, and GABA-A receptor agonists. This metric serves as a sensitive and reproducible endpoint in preclinical dose-finding studies, mechanistic pharmacology, and compound screening pipelines. It also aids in differentiating true anxiolytic effects from sedation or motor suppression by integrating with other behavioral parameters like distance traveled and entry count (Prut & Belzung, 2003).

4. Sex Differences and Hormonal Modulation

Sex-based differences in emotional regulation often manifest in open field behavior, with female rodents generally exhibiting higher variability in center zone metrics due to hormonal cycling. For example, estrogen has been shown to facilitate exploratory behavior and increase center occupancy, while progesterone and stress-induced corticosterone often reduce it. Studies involving gonadectomy, hormone replacement, or sex-specific genetic knockouts use this metric to quantify the impact of endocrine factors on anxiety and exploratory behavior. As such, it remains a vital tool for dissecting sex-dependent neurobehavioral dynamics.
The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity. Because it is normalized, this metric is especially helpful for distinguishing between genuine avoidance and low general activity.

Methodological Considerations

  • Zone Definition: Accurately defining the center zone is critical for reliable and reproducible data. In most open field arenas, the center zone constitutes approximately 25% of the total area, centrally located and evenly distanced from the walls. Software-based segmentation tools enhance precision and ensure consistency across trials and experiments. Deviations in zone parameters—whether due to arena geometry or tracking inconsistencies—can result in skewed data, especially when calculating percentages.

     

  • Trial Duration: Trials typically last between 5 to 10 minutes. The percentage of time in the center must be normalized to total trial duration to maintain comparability across animals and experimental groups. Longer trials may lead to fatigue, boredom, or habituation effects that artificially reduce exploratory behavior, while overly short trials may not capture full behavioral repertoires or response to novel stimuli.

     

  • Handling and Habituation: Variability in pre-test handling can introduce confounds, particularly through stress-induced hypoactivity or hyperactivity. Standardized handling routines—including gentle, consistent human interaction in the days leading up to testing—reduce variability. Habituation to the testing room and apparatus prior to data collection helps animals engage in more representative exploratory behavior, minimizing novelty-induced freezing or erratic movement.

     

  • Tracking Accuracy: High-resolution tracking systems should be validated for accurate, real-time detection of full-body center entries and sustained occupancy. The system should distinguish between full zone occupancy and transient overlaps or partial body entries that do not reflect true exploratory behavior. Poor tracking fidelity or lag can produce significant measurement error in percentage calculations.

     

  • Environmental Control: Uniformity in environmental conditions is essential. Lighting should be evenly diffused to avoid shadow bias, and noise should be minimized to prevent stress-induced variability. The arena must be cleaned between trials using odor-neutral solutions to eliminate scent trails or pheromone cues that may affect zone preference. Any variation in these conditions can introduce systematic bias in center zone behavior. Use consistent definitions of the center zone (commonly 25% of total area) to allow valid comparisons. Software-based segmentation enhances spatial precision.

Interpretation with Complementary Metrics

Temporal Dynamics of Center Occupancy

Evaluating how center time evolves across the duration of a session—divided into early, middle, and late thirds—provides insight into behavioral transitions and adaptive responses. Animals may begin by avoiding the center, only to gradually increase center time as they habituate to the environment. Conversely, persistently low center time across the session can signal prolonged anxiety, fear generalization, or a trait-like avoidance phenotype.

Cross-Paradigm Correlation

To validate the significance of center time percentage, it should be examined alongside results from other anxiety-related tests such as the Elevated Plus Maze, Light-Dark Box, or Novelty Suppressed Feeding. Concordance across paradigms supports the reliability of center time as a trait marker, while discordance may indicate task-specific reactivity or behavioral dissociation.

Behavioral Microstructure Analysis

When paired with high-resolution scoring of behavioral events such as rearing, grooming, defecation, or immobility, center time offers a richer view of the animal’s internal state. For example, an animal that spends substantial time in the center while grooming may be coping with mild stress, while another that remains immobile in the periphery may be experiencing more severe anxiety. Microstructure analysis aids in decoding the complexity behind spatial behavior.

Inter-individual Variability and Subgroup Classification

Animals naturally vary in their exploratory style. By analyzing percentage of center time across subjects, researchers can identify behavioral subgroups—such as consistently bold individuals who frequently explore the center versus cautious animals that remain along the periphery. These classifications can be used to examine predictors of drug response, resilience to stress, or vulnerability to neuropsychiatric disorders.

Machine Learning-Based Behavioral Clustering

In studies with large cohorts or multiple behavioral variables, machine learning techniques such as hierarchical clustering or principal component analysis can incorporate center time percentage to discover novel phenotypic groupings. These data-driven approaches help uncover latent dimensions of behavior that may not be visible through univariate analyses alone.

Total Distance Traveled

Total locomotion helps contextualize center time. Low percentage values in animals with minimal movement may reflect sedation or fatigue, while similar values in high-mobility subjects suggest deliberate avoidance. This metric helps distinguish emotional versus motor causes of low center engagement.

Number of Center Entries

This measure indicates how often the animal initiates exploration of the center zone. When combined with percentage of time, it differentiates between frequent but brief visits (indicative of anxiety or impulsivity) versus fewer but sustained center engagements (suggesting comfort and behavioral confidence).

Latency to First Center Entry

The delay before the first center entry reflects initial threat appraisal. Longer latencies may be associated with heightened fear or low motivation, while shorter latencies are typically linked to exploratory drive or low anxiety.

Thigmotaxis Time

Time spent hugging the walls offers a spatial counterbalance to center metrics. High thigmotaxis and low center time jointly support an interpretation of strong avoidance behavior. This inverse relationship helps triangulate affective and motivational states.

Applications in Translational Research

  • Drug Discovery: The percentage of center time is a key behavioral endpoint in the development and screening of anxiolytic, antidepressant, and antipsychotic medications. Its sensitivity to pharmacological modulation makes it particularly valuable in dose-response assessments and in distinguishing therapeutic effects from sedative or locomotor confounds. Repeated trials can also help assess drug tolerance and chronic efficacy over time.
  • Genetic and Neurodevelopmental Modeling: In transgenic and knockout models, altered center percentage provides a behavioral signature of neurodevelopmental abnormalities. This is particularly relevant in the study of autism spectrum disorders, ADHD, fragile X syndrome, and schizophrenia, where subjects often exhibit heightened anxiety, reduced flexibility, or altered environmental engagement.
  • Hormonal and Sex-Based Research: The metric is highly responsive to hormonal fluctuations, including estrous cycle phases, gonadectomy, and hormone replacement therapies. It supports investigations into sex differences in stress reactivity and the behavioral consequences of endocrine disorders or interventions.
  • Environmental Enrichment and Deprivation: Housing conditions significantly influence anxiety-like behavior and exploratory motivation. Animals raised in enriched environments typically show increased center time, indicative of reduced stress and greater behavioral plasticity. Conversely, socially isolated or stimulus-deprived animals often show strong center avoidance.
  • Behavioral Biomarker Development: As a robust and reproducible readout, center time percentage can serve as a behavioral biomarker in longitudinal and interventional studies. It is increasingly used to identify early signs of affective dysregulation or to track the efficacy of neuromodulatory treatments such as optogenetics, chemogenetics, or deep brain stimulation.
  • Personalized Preclinical Models: This measure supports behavioral stratification, allowing researchers to identify high-anxiety or low-anxiety phenotypes before treatment. This enables within-group comparisons and enhances statistical power by accounting for pre-existing behavioral variation. Used to screen anxiolytic agents and distinguish between compounds with sedative vs. anxiolytic profiles.

Enhancing Research Outcomes with Percentage-Based Analysis

By expressing center zone activity as a proportion of total trial time, researchers gain a metric that is resistant to session variability and more readily comparable across time, treatment, and model conditions. This normalized measure enhances reproducibility and statistical power, particularly in multi-cohort or cross-laboratory designs.

For experimental designs aimed at assessing anxiety, exploratory strategy, or affective state, the percentage of time spent in the center offers one of the most robust and interpretable measures available in the Open Field Test.

Explore high-resolution tracking solutions and open field platforms at

References

  • Prut, L., & Belzung, C. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. European Journal of Pharmacology, 463(1–3), 3–33.
  • Seibenhener, M. L., & Wooten, M. C. (2015). Use of the open field maze to measure locomotor and anxiety-like behavior in mice. Journal of Visualized Experiments, (96), e52434.
  • Crawley, J. N. (2007). What’s Wrong With My Mouse? Behavioral Phenotyping of Transgenic and Knockout Mice. Wiley-Liss.
  • Carola, V., D’Olimpio, F., Brunamonti, E., Mangia, F., & Renzi, P. (2002). Evaluation of the elevated plus-maze and open-field tests for the assessment of anxiety-related behavior in inbred mice. Behavioral Brain Research, 134(1–2), 49–57.

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