Overview
This engineering cycle aims to explore a method that can preserve lychee (Litchi chinensis) by improving indicators including weight loss rate, browning index, and superoxide dismutase (SOD) activity. Throughout the cycle, the lychee preservation effects of substances ranging from melatonin to wax-based formulations were investigated, with specific details as follows.
Iteration 1
Design
We have learned that melatonin can achieve excellent fresh-keeping effects for lychee, particularly in terms of weight loss rate, browning Index, and superoxide dismutase (SOD) activity .
Build
We designed a 7-day preliminary experiment on melatonin, using Litchi chinensis cv. 'Sweet Osmanthus' as the experimental material. The experiment was divided into two application frequency groups (spraying): a single-application group and a double-application group, with different melatonin concentration gradients set in each group. Finally, the weight loss rate, browning index, and SOD enzyme activity were measured, and the effectiveness was analyzed.
Record browning index and weight:
- Take photos daily for record, and determine the browning index according to the following criteria in the protocol (Y. Zhang et al., 2018). .
Browning index | Definition |
---|---|
0 | no browning; |
1 | slight browning (browning coverage area less than 5%); |
2 | moderate browning (browning coverage area less than 25%); |
3 | severe browning (browning coverage area 25-50%); |
4 | extremely severe browning (browning coverage area greater than 50%). |
- Weigh and record daily, and calculate the weight loss rate according to the following formula .
Test
1. Weight Loss Rate

Data is presented as Mean ± SEM, with N = 6 biological replicates. This figure illustrates the percentage of weight loss in 'Sweet Osmanthus' lychee after six days of treatment with various melatonin concentrations (0 mM to 0.3 mM) and application frequencies (once or twice spraying). Statistical analysis was performed using Ordinary two-way ANOVA, which revealed basically no significant difference (ns) between any of the groups compared (P>0.05). However, we found that spraying melatonin at a single application showed a non-significant increasing trend in the weight loss rate compared with spraying clear water (0 mM).
In a single spraying application, all groups treated with melatonin exhibited a significantly higher weight loss rate compared to the control group (0 mM). Through our observations, we found that the weight loss rate of small fruits was lower than that of large fruits. Even though we selected the fruits randomly, we still observed that the control group (0 mM) in the single spraying treatment had a relatively high proportion of small fruits. So this might be the reason why the weight loss rate of the single-spray group is much lower than that of the other groups.
2. Browning Index


(a) Data is presented as Mean ± SEM, with N = 12 biological replicates at Day0, N = 9 biological replicates at Day1 and Day 2, N = 6 biological replicates at Day3 and Day 4, N = 3 biological replicates at Day 5 and Day6. This figure illustrates the browning index results for 'Sweet Osmanthus' lychee treated with varying melatonin concentrations and application frequencies. A critical data issue was identified in the control group: the browning index of the 0 mM (once) group changed rapidly, a phenomenon suspected to be due to a difference in the ventilation effect specific to that group compared to the others. Furthermore, for the remaining data, the combination of a small sample size and the destructive nature of the SOD Activity detection (performed on these same samples) resulted in easy fluctuations in the later-stage data, rendering them unrepresentative for long-term trends.
(b) Data is presented as Mean ± SEM, with N = 9 biological replicates. Despite these data quality issues, the statistical comparison (Ordinary two-way ANOVA) at Day 1 still showed highly significant differences (P< 0.0001, denoted by ****) between the melatonin-treated groups and the 0 mM (once) control. However, due to operational issues, this data lacks credibility.
3. SOD Activity

Data are presented as Mean ± SEM, with N = 3 biological replicates. This figure presents the superoxide dismutase (SOD) activity in lychee after six days of treatment, analyzed using Two-way ANOVA with Šidák's multiple comparisons test. A significant increase in SOD activity was observed in the 0.2 mM melatonin (Twice) group compared to the 0 mM controls (*Once 0mM vs. Twice 0.2mM: P=0.0417; *Twice 0mM vs. Twice 0.2mM: P=0.0313). All other comparisons were not significant (P>0.05). Despite these specific significant findings, the general trend indicates that melatonin application tends to increase SOD activity, with a double application potentially yielding a more favorable effect than a single application.
Without the interference of the weight and storage conditions of the 0mM group with a single spraying, and compared to the twice-spraying group where variables are controlled relatively well, the significance of SOD detection is meaningful.
Even though no significant differences were observed in other analyses, it can still be noted that melatonin application generally tends to increase SOD activity. Meanwhile, it is also observable that applying melatonin twice yields a more favorable effect than applying it once.
Learn
The ineffectiveness of melatonin might be attributed to the limitations of our spraying method: this approach tends to result in a short duration of melatonin action on the lychee surface, which resulted in no significant difference in weight loss rate among all groups. Additionally, the 0 mM group (control group) might have exhibited superior ventilation conditions, leading to substantial variations in both weight loss rate and browning index compared with the other treatment groups. Furthermore, the destructive testing employed also compromised the continuity of our samples. Moreover, the initial weights among the groups were not effectively controlled.
Nevertheless, under such circumstances, we still observed that melatonin could significantly enhance the activity of superoxide dismutase (SOD) in Litchi chinensis — a finding indicating that melatonin exerts a preservative effect on litchi by boosting SOD activity, as SOD, a key antioxidant enzyme, helps scavenge reactive oxygen species (ROS) to mitigate oxidative damage and delay fruit senescence, which is a critical aspect of litchi preservation.
Iteration 2
Design
Based on the reflections above, we made the following adjustments to the experimental protocol.
First, we changed the melatonin treatment method from spraying to soaking—an approach more commonly adopted in relevant literature, as soaking allows melatonin to adhere more stably to the surface of Litchi chinensis, and even penetrate slightly into the pericarp, thereby extending its action duration and achieving better preservation effects compared to spraying;
Second, non-destructive testing was employed (with enzyme activity detection discontinued), as the latter would compromise sample representativeness and amplify random data deviations. This adjustment is crucial for safeguarding the continuity of samples across successive measurements, thereby ensuring the reliability of the experiment.
Additionally, the litchi fruit selected in our experiment had a weight range of 17.5–27.5 grams, with the average weight controlled at 22.20±0.10 g.
It should be noted that there was no inventory left of the Guiwei lychees we previously used; therefore, we had no choice but to adopt Huaizhi lychees, which are more perishable and prone to browning compared to Guiwei lychees. It should be noted that this may exert an impact on our experiment.
Build
We redesigned a 7-day preliminary experiment on melatonin. Initially, Litchi chinensis cv. 'Sweet Osmanthus' was planned to be used as the experimental material; yet, due to its insufficient market supply, we finally adopted Litchi chinensis cv. 'Locust Twig' for the experiment instead. The experiment was divided into two application frequency groups (soaking): a single-application group and a double-application group, with different melatonin concentration gradients set up in each group. Finally, the weight loss rate and browning index were measured, and the effectiveness was analyzed.
Test
1. Weight Loss Rate

Data are presented as Mean ± SEM, with N = 7 biological replicates. This figure illustrates the weight loss percentage of 'Locust Twig' lychee after six days of treatment, where the application method was changed from spraying to soaking in an effort to improve efficacy. The lychee were treated with various melatonin concentrations (0 mM to 0.4 mM) in both single and double application groups. Statistical comparison was performed using Two-way ANOVA, which indicated no significant difference (ns, p>0.05) between all groups except for 0mM and 0 mM (twice). A t-test was used to analyze 0mM (Once) and 0 mM (Twice), indicating that there was no meaningful significant statistical differences between them. This result confirms the conclusion that melatonin still exerted no significant effect on the weight loss rate of lychee under these conditions.
Melatonin still exerted no significant effect on the weight loss rate of lychee.
However, we can observe that the secondary application tends to cause an upward trend in the weight loss rate, even though there is is no significant difference. We suspect that this may be due to the fact that repeated soaking could provide a moist environment for pathogens, leading to spoilage.
2. Browning Index


Data are presented as Mean ± SEM, with N = 7 biological replicates. (a) Time Course: This figure illustrates the change in the browning index over time for 'Locust Twig' lychee treated with varying melatonin concentrations using the soaking method. A critical observation in this experiment was that the browning of all groups was extremely severe across all treatment concentrations. This severity is suspected to be associated with the poor storability of the 'Locust Twig' litchi cultivar itself. This cultivar was used because varieties with good storability (e.g., 'Sweet Osmanthus') were already out of season, thus confirming the necessity to adjust the experimental protocol based on the limitations of the available material.
(b) Statistical Comparison at Day 1: This bar graph presents the statistical results (likely at the final measurement time point) for the browning index, following analysis (Two-way ANOVA). A t-test was used to analyze 0mM (Once) and 0 mM (Twice), indicating that there was no meaningful significant statistical differences between them. Due to the extremely severe browning observed in all groups, the data were highly saturated, which precluded the detection of meaningful statistical differences (ns, p>0.05) between the treatment groups and the control. This result further emphasized the inherent high deterioration rate of the 'Locust Twig' cultivar, validating the decision to adjust the subsequent experimental protocol by shortening the observation period.
The browning of all groups was extremely severe in this experiment, and we suspect that this issue is associated with the 'Locust Twig' litchi cultivar.
Learn
The perishability of 'Locust Twig' litchi does exert a significant impact on our experiment; this characteristic prevents the fresh-keeping effect of melatonin from reaching the level reported in relevant research literature. Under the experimental condition where only 'Locust Twig' litchi are available, to explore the fresh-keeping effect of lychees, we need to shorten our experimental cycle to amplify the details of changes in weight and browning at the early stage.
Iteration 3
Design
Based on the analysis of the previous iteration, we decided to shorten the experiment duration to 1 day to observe the fresh-keeping effectiveness of melatonin.
Additionally, to rule out operational errors, we arranged for two experimenters to conduct the experiment independently, which will be referred to as Exp. 1 and Exp. 2 respectively in subsequent sections.
Build
We redesigned a 1-day preliminary experiment on melatonin. After the application of melatonin, measurements of weight and browning index were conducted every 3 hours.
To ensure the reproducibility of the experiment, we arranged for two researchers to conduct the same experimental protocol independently.
Test
1. Weight Loss Rate




Data are presented as Mean ± SEM, with N = 4 biological replicates. 6.1.(a) & 6.2(a): Weight Loss Rate Time Course - Replicate 1 and Replicate 2. The figures illustrate the change in the weight loss rate of 'Locust Twig' lychee treated by the soaking method over a shortened 18-hour period in the first replicate. The experiments were conducted to assess initial effects on the highly perishable cultivar through short-term observation. The trend analysis showed that the weight loss rate increased linearly over time in all groups, with minimal visual difference observed between the various melatonin concentrations.
6.1.(b) & 6.2.(b): Statistical Comparisons - Replicate 1 and Replicate 2. The bar graphs present the statistical comparison of the weight loss rate at the 18-hour endpoint for each replicate. In both replicate experiments, the data was analyzed using One-way ANOVA. The analysis confirmed that there was no significant difference (ns, p>0.05) between any of the melatonin treatment groups and the control, indicating that melatonin still had no significant effect on the weight loss rate of lychee.
2. Browning Index





Data are presented as Mean ± SEM, with N = 4 biological replicates. 7.1(a) & 7.2(a) Browning Index Time Course - Replicate 1 and Replicate 2. These figures illustrate the change in the browning index of 'Locust Twig' lychee over the shortened 18-hour period in both independent replicates. The index was determined via visual observation. Despite the use of standard evaluation criteria, subjective factors still influenced the values, resulting in data discrepancies. However, the overall trends for the treated groups showed that the browning index increased much more slowly than the control group.
7.1(b) Statistical Comparison at 6 Hours - Replicate 1. This bar graph presents the statistical comparison of the browning index at the 6-hour time point for the first replicate. The data was analyzed using One-way ANOVA. It was observed that the 0.3 mM melatonin concentration exerted a significant inhibitory effect on browning (P=0.0041< 0.01, donated by **) and the 0.2 mM melatonin concentration also exerted a significant inhibitory effect on browning (P=0.0127< 0.05, donated by *) when compared to the control (0 mM). This result highlights the immediate efficacy of optimal concentration.
7.1(c) Statistical Comparison at 9 Hours - Replicate 1. This bar graph presents the statistical comparison of the browning index at the 9-hour endpoint for the first replicate. The data was analyzed using One-way ANOVA. Although discrepancies existed due to subjective factors, the 0.3 mM group still showed superior performance, consistently emerging as the optimal concentration and confirming its significant inhibitory effect on browning (P=0.0325< 0.05, donated by *) compared to the control.
7.2(b) Statistical Comparison at 15 Hours - Replicate 2. This bar graph presents the statistical comparison of the browning index at the 15-hour endpoint for the second replicate. The data were analyzed using Two-way ANOVA. Consistent with the first experiment, the 0.3 mM melatonin concentration was confirmed as the optimal one, exerting a significant inhibitory effect on browning (P=0.0157< 0.05, donated by *) compared to the control. This robust result confirms that 0.3 mM melatonin remarkably inhibits the lychee browning process. Nevertheless, since this optimal concentration fails to significantly regulate the weight loss rate, further exploration into alternative methods to retard postharvest weight loss is warranted.
Learn
Our previous data can support the fresh-keeping effect of melatonin on lychees in terms of browning inhibition and SOD (antioxidant) activity maintenance. Therefore, we still choose melatonin as the fresh-keeping agent for lychees. Due to the presence of certain unknown factors, we are unable to generate the effect diagram of lychee weight loss rate; thus, it is necessary to explore alternative approaches to retard the weight loss of postharvest lychee.
Iteration 4
Design
After our research, we found that the initial water loss of lychees is attributed to the high water vapor permeability of the cuticle, cuticle damage, and the presence of lenticels .
Moreover, water loss in lychees exacerbates browning and decay; therefore, it is imperative for us to address this issue. We intend to apply a wax coating, a substance that has been proven effective , on the lychee peel to retard water loss of the fruit.
We aim to verify the effect of wax on maintaining lychee weight through experiments, thereby improving our lychee preservation protocol.
Build
In this study, palmityl palmitate was employed to conduct preliminary experiments on wax properties. Two control groups were set up, one treated with pure water and the other with a solvent (an emulsion matrix free of wax and fatty acids). Meanwhile, the experimental groups were formulated with wax ester emulsions at concentrations of 2%, 8%, and 16%, respectively. After the wax spraying treatment, the weight loss rate of lychee fruits was measured and recorded at the same time point every day.
Test


(a) Weight Loss Rate Time Course. Data are presented as Mean ± SEM, with N = 48 biological replicates at Day 1,2,3, N = 40 biological replicates at Day 4, N = 32 biological replicates at Day 5, N = 24 biological replicates at Day 6, N = 16 biological replicates at Day 7,8. This figure illustrates the effect of various concentrations of a wax ester emulsion on the lychee weight loss rate over nine days. The treatments include Pure Water, a Solvent Control (defined as an emulsion matrix free of wax and fatty acids), and two concentrations of the wax ester emulsion. This experiment aimed to validate the efficacy of wax coating as an independent means of retarding lychee weight loss.
(b) Statistical Comparison at Day 9. Data are presented as Mean ± SEM, with N = 8 biological replicates. This bar graph presents the statistical comparison of the weight loss rate at Day 9, analyzed using Ordinary One-way ANOVA. Statistical analysis revealed no significant difference (ns) in the weight loss rate between the Pure Water group and the Solvent Control group (P>0.05). In contrast, the 16% Wax Ester Emulsion group exhibited a significant inhibitory effect on the weight loss rate (P=0.0240< 0.05, denoted by ∗), thereby effectively retarding the weight loss process of lychee. These findings confirm that wax application can retard the increase in the weight loss rate of lychee.
As observed from the experimental results, there was no significant difference in the weight loss rate of lychee between the pure water group and the solvent group. In contrast, the 16% wax ester emulsion group exhibited a significant inhibitory effect on the increase in weight loss rate, thereby effectively retarding the weight loss process of lychee.
Learn
Our findings confirmed that wax application can retard the increase in weight loss rate of lychee. Considering the previously demonstrated functions of melatonin in enhancing SOD enzyme activity and delaying browning, it might be worthwhile to explore the combined application of these two substances to achieve lychee preservation.
Iteration 5
Design
Though there were some issues with the experimental operation in the first iteration, the preliminary experiments on melatonin showed a tendency to exacerbate the weight loss rate of lychee (Figure 1). Therefore, we aim to verify whether the co-treatment with melatonin and wax can still effectively retard the weight loss rate of lychee.
If a significant weight-retention effect can still be achieved, we will select these two substances as lychee preservation agents.
Build
We designed a co-treatment experiment with melatonin and wax, where lychee were subjected to treatment with 0.1 mM melatonin solution, 16% wax, or their combination, and their weight changes were measured within one day.
Test


Data are presented as Mean ± SEM, with N = 5 biological replicates. This figure illustrates the change in weight loss rate of lychee after treatment with 0.1 mM Melatonin, 16% Wax Ester Emulsion, and the combination of both, over a 9-hour period. Statistical analysis (One-way ANOVA) confirmed that melatonin alone (0.1 mM) does not reduce the weight loss rate (P>0.9999, ns). However, both the Wax treatment and the Combined Treatment groups achieved a highly significant decrease in weight loss rate compared to the Blank and Melatonin-only groups (P<0.0001, denoted by ∗∗∗∗).
From Figure 9(b), it can be found that melatonin does not reduce the weight loss rate of lychee, but the combined treatment with wax can significantly decrease the weight loss rate.
Learn
In conclusion, the experimental data demonstrate that melatonin can enhance the superoxide dismutase (SOD) activity of lychee, delay browning, while wax coating is effective in maintaining lychee weight. Furthermore, the slight negative effect of melatonin on lychee weight loss rate will not significantly interfere with the weight-maintaining effect of wax coating on lychee. Therefore, we propose that the combined treatment of melatonin and wax coating will exert a more favorable effect on lychee preservation.
Overview
In this Engineering Cycle, the focus was placed on both the refinement of the pathway design for and the functional verification of the serotonin synthesis system.
Iteration 1
Design
We initially designed the plasmid insert fragment containing p43-RBS-TPH(Flag)-terminator-p43-RBS-TDC(His)-terminator.

TDC-before: we use the part: BBa_K2276001; P43: p43 Promoter; TPH: Tryptophan Hydroxylase; TDC: Aromatic-L-amino-acid decarboxylase; Flag: a commonly used protein tag; 6×His: Hexa-Histidine tag, composed of 6 histidine residues.
However, we have found that the tryptophan hydroxylase (TPH) enzyme requires the specific cofactor tetrahydrobiopterin/5,6,7,8-tetrahydromonapterin (BH4/MH4) (Figure 2) , while neither Escherichia coli nor Bacillus subtilis possesses the metabolic cycle pathway for MH4.



Build
Therefore, we modeled the reaction rate of the MH4 cycle using BH4 cycle enzymes (hPCDB1: Human Pterin-4α-carbinolamine dehydratase; hQDPR (/DHPR_HUMAN): Human quinoid dihydropteridine reductase) and MH4 cycle enzymes (PCD: Pterin-4α-carbinolamine dehydratase; DHMR: Dihydromonapterin reductase), respectively.
Test
According to the article by , we found that the substrate binding mode and the reaction mechanisms of pterin-4a-aminoalcohol dehydrogenase (PCD) isolated from Pseudomonas aeruginosa are basically the same as those of human PCD. That is to say, hPCBD1 can catalyze MH4 - 4a. Based on this finding, our model study focuses on the binding efficiency and catalytic efficiency of hQDPR (human Quinonoid Dihydropteridine Reductase) and DHMR toward MH2 (Figure 3).
MH2 and hQDPR(/DHPR_HUMAN) | MH2 and DHMR | |
---|---|---|
Kcat | 54.64[1/sec] | 17.68[1/sec] |
Km | 0.03[mM] | 0.03mM |


(a) Kinetic parameters Kcat and Michaelis constant Km of the enzyme-cofactor pair MH2 and hQDPR (/DHPR_HUMAN) calculated using the prediction model, and the positions of the predicted values of Kcat and Km in the respective histograms of experimental values are shown.
(b) Kinetic parameters Kcat and Michaelis constant Km of the enzyme-cofactor pair MH2 and DHMR calculated using the prediction model, and the positions of the predicted values of Kcat and Km in the respective histograms of experimental values are shown.
Through model analysis, hQDPR exhibits higher catalytic efficiency toward MH2 than DHMR. We initially concluded that the two recycling enzymes of BH4 are applicable to the recycling of MH4; however, due to subtle differences in molecular structure, this recycling process is expected to generate new substances.
Subsequently, during our consultation with Professor Qi Feng, Vice Dean of the College of Life Sciences at Fujian Normal University, he indicated that the recycling enzymes of BH4 could be applied to MH4.
Learn
Therefore, we introduced two cycle enzymes, hPCDB1 and hQDPR, into the plasmid.
Meanwhile, to enable experiments in both Escherichia coli and Bacillus subtilis, we reselected the shuttle plasmid pWB980-ori, which is compatible with both bacterial strains.

TDC-before: we use the part: BBa_K2276001; P43: p43 Promoter; TPH: Tryptophan Hydroxylase; hPCDB1: Human Pyran C4 Dioxygenase B1; hQDPR: Human Quinoid Dihydropteridine Reductase; TDC: Aromatic-L-amino-acid decarboxylase; Flag: a commonly used protein tag; 6×His: Hexa-Histidine tag, composed of 6 histidine residues.
Iteration 2
Design
After obtaining the synthetic plasmids from the company, we first performed restriction enzyme digestion for verification.
Build
Plasmids of the control group (pWB980-ori) and the experimental group (pWB980-ori_m-hTPH1_hPCBD1_hQDPR-flag_TDC-his) were subjected to single restriction enzyme digestion (SacI-HF) and electrophoresis.
Test

The control group plasmid pWB980-ori contains two restriction enzyme cleavage sites, which will generate two bands of 3819 bp and 4266 bp after digestion. The experimental group plasmid pWB980 will produce a single band of 8644 bp. Based on the migration positions of the bands, it is evident that the target gene fragment has been successfully inserted into the plasmids of the experimental group.
Learn
Our target plasmid is confirmed to be correct, and we can utilize this plasmid for the next step of verification.
Iteration 3
Design
To verify the expression of our target proteins, we detected the expression of proteins hQDPB-flag and TDC-his using Western blot.
Build
After we verified that the plasmid had been transformed into the bacteria, we cultivated the bacteria overnight and used the liquid to prepare sample for Western blot.
Test

pWB_rbs_TPH_rbs_hPCBD_rbs_hQDPR-flag_rbs_TDC-his denotes sample from E. coli with plasmid with target genes and pWB denotes that from E. coli with vector backbone pWB980-ori without target genes. There is specific band for TDC-his, but the size is different from 59.1 kDa, which is derived by Snapgene. There is no specific band for hQDPR-flag.
Learn
We suspect that the incomplete transcription of hQDPR, which is the last gene, may be attributed to the fact that three genes are downstream of a single promoter.
Iteration 4
Design
We aim to analyze whether the target gene is transcribed via RNA-based approaches such as reverse transcription-polymerase chain reaction (RT-PCR).
Build
First, we extracted RNA from both the control and experimental groups using an RNA Isolation Kit, followed by reverse transcription of the RNA into cDNA using the PrimeScript RT reagent Kit. Subsequently, we amplified the four sequences via touchdown PCR, and finally analyzed the results by electrophoresis.
Test
According to the results of reverse transcription-polymerase chain reaction (RT-PCR), all four target genes were successfully transcribed into full-length RNA.

For each target gene (m-hTPH1, hPCBD1, hQDPR-flag, TDC-his), the samples in the lanes labeled "(-)" were derived from bacteria harboring the pWB980-ori plasmid, while those in the lanes labeled "(+)" were from bacteria containing the pWB980-ori_m-hTPH1_hPCBD1_hQDPR-flag_TDC-his plasmid. The distinct bands (960 bp for m-hTPH1, 315 bp for hPCBD1, 786 bp for hQDPR-flag, 1584 bp for TDC-his) indicate the successful amplification of corresponding gene fragments, confirming the transcriptional activity of all four target genes.
Learn
The issue of unsuccessful gene transcription has been ruled out. To verify whether the protein with an abnormal molecular weight (size) detected by Western Blot (WB) corresponds to human quinoid dihydropteridine reductase (hQDPR), we may conduct product verification to determine the presence of functional hQDPR protein.
Iteration 5
Design
All four of our target genes have been successfully transcribed into RNA; therefore, we intend to perform product detection.
Build
We generated a standard curve for the Serotonin ELISA Kit and subsequently detected the serotonin content in both the control group and the experimental group using this kit.
Test
Standard Concentration (ng/ml) | 0 | 50 | 100 | 200 | 400 | 800 |
---|---|---|---|---|---|---|
OD₄₅₀ | 2.815 | 1.481 | 0.716 | 0.343 | 0.244 | 0.125 |


(a) Standard curve of serotonin concentration vs. OD₄₅₀ for the Serotonin ELISA Kit.
(b) Four-parameter logistic curve fitting results for the Serotonin ELISA Kit standard curve. (r = 0.9997 > 0.99 [Qualified])
pWB980-ori | pWB980-ori-TPH-hPCBD-hQDPR-TDC | ||||||
---|---|---|---|---|---|---|---|
① | ② | ③ | ④ | ① | ② | ③ | |
OD₄₅₀ (zero-adjusted) | 3.005 | 3.123 | 3.100 | 3.004 | 2.540 | 2.598 | 2.664 |
Serotonin concentration (ng/ml) | 0 | 0 | 0 | 0 | 13.22 | 11.34 | 9.02 |
The serotonin concentrations were converted from the corresponding OD₄₅₀ values based on the standard curve in Figure 8.

This figure presents the concentration of serotonin in the control group and the experimental group, with statistical analysis performed using an Unpaired t-test (two-sided). The results show a significant difference ($P=0.0008 < 0.001$, denoted by ***) between the experimental group and the control group. Based on this statistical finding, it is concluded that pWB980-ori-TPH-hPCBD1-hQDPR-TDC can successfully convert L-tryptophan into serotonin.
By using the t-test, we can find that there is a significant difference between the experimental group and the control group. We conclude that pWB980-ori-TPH-hPCBD1-hQDPR-TDC can convert L-tryptophan into serotonin.
Learn
Based on the successful results of our RT-PCR, the successful TDC enzyme Western blot, and the positive outcomes of serotonin product detection, we can preliminarily conclude that the serotonin synthesis system is functional, even though the SNAT Western blot bands were incorrect for unknown reasons.
Overview
In this Engineering Cycle, the focus was placed on both the refinement of the pathway design for this system and the functional verification of the melatonin synthesis system.
Iteration 1
Design
The synthesis of melatonin from serotonin requires the enzymes serotonin N-acetyltransferase (SNAT), and catechol-O-methyltransferase (COMT). Initially, we used the pWB980-ori vector backbone for constructing the expression plasmids of these two enzymes, just as we did for the serotonin synthesis plasmid.

Since it is necessary for us to introduce the dual plasmids into the bacteria, it is required to replace the high-copy pWB980-ori with the low-copy pHY300PLK, which has a different copy number characteristic.
Build
The plasmid pHY300PLK-SNAT-COMT was constructed using the T4 ligase method, which involved double enzyme digestion, electrophoresis, T4 ligation, transformation and sequencing verification.
Test

Sequencing of sample No. 11 bacterial liquid by Sangon Biotech was successful, with signals detected for both the forward primer and the reverse primer.
Learn
After we construct the plasmid, we can further detect the expression of the protein.
Iteration 2
Design
To verify the expression of our target proteins, we detected the expression of proteins COMT-flag and SNAT-his using Western blot.
Build
After we verified that the plasmid had been transformed into the bacteria, we cultivated the bacteria overnight and used the liquid to prepare sample for Western blot.
Test

pWB-rbs-SNAT-His-+rbs-COMT-flag: the sample is from E. coli with plasmid with target genes on pWB980-ori. pWB: the sample is from E. coli with vector pWB980-ori without target genes. pHY-rbs-SNAT-His-+rbs-COMT-flag: the sample is from E. coli with plasmid with target genes on pHY300PLK and pHY denotes that from E. coli with vector pHY300PLK without target genes. There is specific band for COMT-flag. The size is also correct, corresponding to 41.6 kDa, which is derived by Snapgene.


pWB-rbs-SNAT-His-+rbs-COMT-flag denotes sample from E. coli with plasmid with target genes on pWB980-ori and pWB denotes that from E. coli with vector backbone pWB980-ori without target genes. pHY-rbs-SNAT-His-+rbs-COMT-flag denotes sample from E. coli with plasmid with target genes on pHY300PLK and pHY denotes that from E. coli with vector backbone pHY300PLK without target genes. There is a specific band for SNAT-his. But the size is different from 24.7 kDa, which is derived by Snapgene.
Learn
Since the protein size is incorrect, we are considering detecting whether it has been transcribed into RNA.
Iteration 3
Design
We aim to analyze whether the target gene is transcribed via RNA-based approaches such as reverse transcription-polymerase chain reaction (RT-PCR).
Build
First, we extracted RNA from both the control and experimental groups using an RNA Isolation Kit, followed by reverse transcription of the RNA into cDNA using the PrimeScript RT reagent Kit. Subsequently, we amplified the four sequences via touchdown PCR, and finally analyzed the results by electrophoresis.
Test
According to the results of reverse transcription-polymerase chain reaction (RT-PCR), both target genes were successfully transcribed into full-length RNA.

For each target gene (SNAT-his, COMT-flag), the samples in the lanes labeled "(-)" were derived from bacteria harboring the pHY300PLK plasmid, while those in the lanes labeled "(+)" were from bacteria containing the pHY300PLK_SNAT-his_COMT-flag plasmid. The distinct bands (669 bp for SNAT-his, 1158 bp for COMT-flag) indicate the successful amplification of corresponding gene fragments, confirming the transcriptional activity of all four target genes.
Learn
The issue of unsuccessful gene transcription has been ruled out. To verify whether the protein with an abnormal molecular weight (size) detected by Western Blot (WB) corresponds to SNAT, we may conduct product verification to determine the presence of functional SNAT protein.
Iteration 4
Design
Both target genes have been successfully transcribed into RNA; therefore, we intend to perform product detection.
Build
We generated a standard curve for the Melatonin ELISA Kit and subsequently detected the melatonin content in both the control group and the experimental group using this kit.
Test
Standard Concentration (pg/ml) | 0 | 1 | 2 | 4 | 8 | 16 |
---|---|---|---|---|---|---|
OD₄₅₀ (zero-adjusted) | 4.337 | 1.963 | 1.291 | 0.528 | 0.254 | 0.168 |


(a) Standard curve of Melatonin concentration vs. OD₄₅₀ for the Melatonin ELISA Kit.
(b) Four-parameter logistic curve fitting results for the Melatonin ELISA Kit standard curve. (r = 0.9991 > 0.99 [Qualified])
The data measured after dilution here is problematic.
Learn
After contacting the product technical consultant, we were informed that the suspected issue lies with the Sample Dilution they provided, which is mainly composed of 10% bovine serum, 0.2% Procline-300 preservative, and pH 7.0-7.4 PBS. We will conduct verification later. We suspect that there may also be interference from bacterial proteins.
Iteration 5
Design
We need to re-test using the ELISA kit to identify the problematic reagent.
Build
We determined the Sample dilution, Amp medium, and pH=7.4 PBS buffer using the melatonin ELISA Kit. Then dilute the samples with PBS and perform the ELISA assay.
Test
Sample Dilution | Amp Medium | PBS Buffer (pH=7.4) | |
---|---|---|---|
OD₄₅₀ (zero-adjusted) | 0.818 | 0 | 0.008 |
The OD₄₅₀ of sample dilution is abnormally high, so we will dilute the sample with PBS (pH=7.4) subsequently.
pHY300PLK | pHY300PLK-SNAT-COMT | |||
---|---|---|---|---|
Sample Dilution Multiple | 10⁰ | 10¹ | 10⁰ | 10¹ |
OD₄₅₀ (zero-adjusted) | 0.638 | 1.152 | 0.594 | 0.752 |
Melatonin concentration (pg/ml) | 3.84 | 2.07 | 4.12 | 3.27 |
Although there is a downward trend in different concentrations, it is still disproportionate, and pHY300PLK will also show concentration reading.
Learn
The technician stated that this kit has not been tested using Escherichia coli (E. coli). Based on the data, it is likely that bacterial proteins are causing interference, and the affinity between the sample and the antibody may be insufficient.
Therefore, in our next experiment, we will reduce the interference of bacterial proteins by controlling the OD₆₀₀ of the bacterial suspension, and we will only use this kit for qualitative detection rather than quantitative detection.
Iteration 6
Design
We will continue the melatonin ELISA experiments by controlling the bacterial concentration.
Build
To mitigate the influence of bacterial protein concentration, we regulated the optical density at 600 nm (OD₆₀₀), and on this basis, we continued to perform melatonin ELISA for both the control group and the experimental group.
Test
pHY300PLK ① | pHY300PLK ② | pHY300PLK ③ | pHY300PLK-SNAT-COMT ① | pHY300PLK-SNAT-COMT ② | pHY300PLK-SNAT-COMT ③ | |
---|---|---|---|---|---|---|
OD₆₀₀ | 0.522 | 0.528 | 0.529 | 0.530 | 0.534 | 0.568 |
pHY300PLK ① | pHY300PLK ② | pHY300PLK ③ | pHY300PLK-SNAT-COMT ① | pHY300PLK-SNAT-COMT ② | pHY300PLK-SNAT-COMT ③ | |
---|---|---|---|---|---|---|
OD₄₅₀ (zero-adjusted) | 0.670 | 0.626 | 0.646 | 0.852 | 0.898 | 1.138 |
Melatonin concentration (pg/ml) | 3.68 | 3.95 | 3.80 | 2.93 | 2.75 | 2.10 |


(a) Bacterial Growth - OD₆₀₀: This bar graph presents the OD₆₀₀ (optical density at 600 nm) of the bacterial liquid from the control group (pHY300PLK) and the experimental group (pHY300PLK-SNAT-COMT) after 16 hours of culture (data shown in Table 5). The data was analyzed using the Mann-Whitney test. The results indicated no significant difference (ns) in OD₆₀₀ between the control group and the experimental group (P>0.05). Thus, there is no significant difference in bacterial concentration.
(b) Melatonin Concentration: This bar graph presents the melatonin concentration (pg/mL) in the control and experimental groups as measured by ELISA after 16 hours of culture (data shown in Table 6). The data was analyzed using the Mann-Whitney test. In contrast to the OD₆₀₀ results, the melatonin concentrations showed significant variations (P=0.0409 0.05, denoted by *) between the two groups. This significant difference confirms that the biosynthetic pathway successfully enabled the experimental strain (pHY300PLK-SNAT-COMT) to produce a significantly higher amount of melatonin compared to the control.
Learn
Unfortunately, due to constraints in time and technology, we were unable to obtain more precise results.
However, we can preliminarily speculate that pHY300PLK-SNAT-COMT is capable of converting serotonin into melatonin.
Overview
In this engineering cycle, our primary focus lies on the functional verification of the wax synthesis system.
Iteration 1
Design
To realize our idea of coating the surface of lychees with wax, we reviewed literature, identified and constructed biological components, and ultimately designed our plasmid on SnapGene.

G6PD: Glucose-6-phosphate dehydrogenase; AcrB: Acridine resistance protein B; WS/DGAT: Wax ester synthase/acyl-CoA diacylglycerol acyltransferase.
We designed a lactose-inducible biological logic circuit with a structure based on NOT gates, incorporating three proteins from the wax synthesis pathway. This enables bacteria to accumulate carbon sources in lactose-containing environments while synthesizing wax with accumulated fatty acid in lactose-free conditions. However, our design proved overly complex to conduct comprehensive experimental validation. After careful consideration, we determined that the wax synthesis pathway constitutes our core component. Consequently, we focused our attention on this pathway—specifically the three proteins WS/DGAT, AcrB, and G6PD—to validate their associated characteristics and properties.
Build
We constructed the plasmid according to the aforementioned design and obtained the physical plasmid. We also simultaneously ordered glycerol stocks containing this plasmid from a biosynthetic company for subsequent experimental validation.
Test
We designed a PCR assay to verify whether the relevant genes were correctly inserted into the vector. Our primary objective was to detect the three proteins required for wax synthesis.
We employed the Touch Down PCR method, setting up 10 gradient cooling amplification cycles followed by 25 conventional amplification cycles. Following PCR, we prepared a 1% agarose gel for electrophoresis, running the gel at 100V for 60 minutes. Finally, we visualized the bands using a blue light imager.

Electrophoresis results for WS/DGAT, G6PD, and AcrB are shown. Target bands for G6PD (500 bp) and AcrB (1405 bp) were successfully amplified from the experimental samples. The target band for WS/DGAT was not detected. WS/DGAT: Wax ester synthase/acyl-CoA diacylglycerol acyltransferase; G6PD: Glucose-6-phosphate dehydrogenase; AcrB: Acridine resistance protein B.
The results showed bands for G6PD and AcrB at their correct positions, with no bands appearing in the corresponding negative controls. This indicates that the sequences for these two genes on the vector are intact. However, no corresponding bands were observed for WS/DGAT.
Learn
Based on our experimental results, we conducted a retrospective analysis. By examining the primer sequences in SnapGene, we discovered that the primers used have significant nucleotide runs, leading to potential mispriming and increasing the likelihood of the primer forming secondary structures, such as hairpins, or self-dimers.
Iteration 2
Design
Based on the previous experimental phase, we redesigned the primers to mitigate potential risks such as primer complementarity and insufficient primer specificity. We then reconfigured the PCR experiment, adjusting the annealing temperature to better align with the reaction conditions of the new primers.
Build
We conducted PCR experiments using both new and old primers. Primer set 1&2 are new, while primer set 3 is the previous one.
Test


(a) Primer set 1 and primer set 2 produced bands at the expected 500-bp position, whereas primer set 3 and the negative control did not.
(b) Sequence of different primer sets.
PCR results indicate that our newly designed primer sets 1 and 2 successfully amplified the target band, confirming the successful design of the new primers. Meanwhile, primer set 3 and the negative control failed to amplify any bands, further validating the rigor of the experiment.
Learn
Based on the experimental results above, we have successfully verified the presence of sequences encoding three wax synthesis proteins—WS/DGAT, AcrB, and G6PD—on the plasmid. Following this finding, we will proceed to conduct more in-depth validation experiments.
Iteration 3
Design
Based on the conclusions drawn from our aforementioned PCR validation experiments, we plan to proceed with the next step of protein validation experiments. We have designed a Western Blot assay to validate the protein we expressed.
Build
We performed electrophoresis using a 4-20% polyacrylamide gel. Given the molecular weights of our target proteins WS/DGAT, AcrB, and G6PD at 98.6 kDa, 101.4 kDa, and 57.4 kDa respectively, we designed and used nitrocellulose (NC) membranes with a pore size of 0.45 μm. Transfer conditions were uniformly set at 100 minutes and 300 mA. The WS/DGAT, AcrB, and G6PD proteins were tagged with flag, 6×His, and HA tags, respectively. Primary antibodies specific to these tags were used for incubation. Secondary antibodies corresponding to the species of the primary antibodies were then applied.
Test
The final membranes were immersed in ECL solution for several seconds, allowing the horseradish peroxidase covalently linked to the secondary antibody to oxidize luminol, producing luminescence. The results of our grayscale analysis using the t-test statistically rigorously validated our results.

Cell lysates from three independent biological replicates (Group 1, 2, and 3) were analyzed by immunoblotting using an anti-FLAG antibody. For each replicate, a distinct band corresponding to WS/DGAT-flag was detected in the experimental sample ('sample') at an approximate molecular weight of 90 kDa. The protein was absent in the negative control lanes ('-'). The positions of molecular weight markers are indicated on the left. WS/DGAT: Wax ester synthase/acyl-CoA diacylglycerol acyltransferase.

The relative band intensity was measured for cells containing the pBS-WS/DGAT expression vector versus a negative control. Data are presented as the mean ± SEM of three independent biological replicates (n=3), with individual data points overlaid. Statistical significance was determined by an unpaired Welch's t-test. The double asterisk (**) indicates a statistically significant difference (P=0.001).
However, when we placed it under the imaging system for observation, we found that only the WS/DGAT-flag produced the expected band at the anticipated position. Neither AcrB-his nor G6PD-HA produced bands at their expected positions.
Learn
Based on the WB experimental results, we have reflected on our experimental procedures. We speculate that the antibodies corresponding to AcrB-his and G6PD-HA may have been contaminated or inactivated, or that issues arose during experimental handling. We may need to repeat the experiments to obtain more accurate results, but this will be time-consuming.
Iteration 4
Design
Due to the tight experimental schedule, after careful consideration, we had to abandon the subsequent Western Blot replication experiments and proceed directly to the target product detection phase. To detect wax content, we designed a series of experimental protocols, including absorbance measurements under conditions involving Oil Red O staining and oleic acid induction.
Build
We established five groups for full-wavelength absorbance detection. Since the study focused on the wax synthesis pathway initiated by acyl-CoA, oleic acid was added as the reaction substrate in all experimental groups. The groups were ultimately categorized as follows: PBS control group, PBS + Oil Red O control group, empty plasmid group, empty plasmid + oleic acid group, and target plasmid + oleic acid group. We employed normalization to ensure experimental results were unaffected by irrelevant factors such as bacterial culture concentration and background values.
Test
Oil Red O exhibits a strong absorption peak at 500 nm and demonstrates absorbance exceeding the control across the 400–650 nm range. Our experimental results corroborate this observation.

The scan was performed to identify the optimal wavelength for measurement. The maximum absorbance peak (λ_max) was determined to be at 518 nm. Isopropyl alcohol (solvent) and PBS were measured as blanks and showed negligible absorbance.
To eliminate extraneous factors and better analyze curve variations, we normalized the absorbance curves during analysis. Comparing the expression vector + oleic acid group with the other two control groups, we observed that the experimental group exhibited significantly higher absorbance at 500 nm than the other two groups. Additionally, it demonstrated higher absorbance below 650 nm, with the overall curve closely matching the absorbance curve of Oil Red O. However, due to experimental constraints, we did not replicate the experiment and thus could not perform a significant analysis.

After background correction, the raw spectra were normalized using the absorbance value at 700 nm as a reference to eliminate the influence of cell density variations. This data processing method isolates the spectral signature of Oil Red O within the bacteria. The results confirm that the increased absorbance of the target strain (green line) directly originates from the Oil Red O-stained wax, validating the functional efficacy of the engineered metabolic pathway.
Learn
Comparing the absorbance curves of the experimental group with the two control groups, wax formation in the experimental group is clearly discernible. This substantially confirms the success of our wax synthesis pathway design and plasmid construction, indicating preliminary realization of the intended function. We plan to conduct more in-depth validation in the next phase, such as testing its performance under different concentrations of oleic acid induction, verifying the activity of individual proteins, and exploring better improvement strategies. However, due to time constraints, we were unable to complete these planned steps.