NB: unless differently specified, all tests were performed in E. coli MGZ1 in M9 supplemented medium at 37°C. For the cloning of the parts, E. coli TOP10 was used.

Parts assembly

Characterization of basic modules

Characterization of promoters pTet and pLux

Characterization of enzymes AiiA and LuxI

Characterization of the efficiency of RBSs from the community collection

Identification of bacterial growth parameters

The bacterial growth curve has been modelled as a logistic curve and is represented by the following equation:

dN/dt=N*μ*(N_max-N)/N_max
N(0)=n₀

where μ represents the growth rate of the cells (E. coli MGZ1 in M9 supplemented medium) and N_max represents the maximum number of cells in the well. For a detailed description of the parameters, see modelling section. For details on parameters identification, see identification section. The growth curves in all the performed experiments are measured in O.D.₆₀₀. Since the N species in the model is expressed in cell number, a conversion factor has been estimated. The conversion factor K_O.D.toC.F.U. has been estimated as follows.

• Two cultures C1 and C2 (MGZ1 cells) were grown in 1ml M9 medium till saturation (ON liquid culture, 37°C, 220 rpm).
• Next morning, both C1 and C2 were diluted in M9 medium with a final volume of 1ml with the following dilution factors:
  • 1:1
  • 1:10
  • 1:100
  • 1:1000
  in fresh M9 medium. These cultures were grown for further 1 hour at 37°C, 220 rpm.
• After 1 hour, O.D.₆₀₀ was measured using TECAN microplate reader (don't forget to measure a M9 sample for blanking!)
  NB: from now on, cultures must be placed in ice to stop cell growth.
• At the same time, proper dilution of the cultures were plated on LB agar plates.
  NB: All the dilutions are performed moving 100 μl of culture in previously ice-chilled 900 μl fresch M9. 100 μl of the final dilution are plated (It still represents a 1:10 dilution!)
• Plates were grown overnight and next morning C.F.U. were counted.
• C.F.U. values were corrected by the dilution factor and a linear regression (N vs O.D.₆₀₀) was performed in order to evaluate the conversion factor K_O.D.toC.F.U..
• K_O.D.toC.F.U. was used as conversion factor to multiply the O.D.₆₀₀ value of saturation in the growth curves (~0,5).

The results are summarized in the table and in the figure below.

Culture	O.D.600 TECAN	O.D.600 Spectrophotometer	C.F.U.	Dilution Factor (10^)	N
C1	0,367950002	0,758004416	990	5	990000000
C1	0,044649998	0,091982322	141	6	1410000000
C1	0,004799999	0,009888356	136	5	136000000
C1	0,000549998	0,001133037	20	6	200000000
C2	0,54840003	1,129744917	165	4	16500000
C2	0,058200002	0,119896339	23	5	23000000
C2	0,008700002	0,017922652	251	3	2510000
C2	0,000100002	0,000206011	24	4	2400000

The estimation of μ parameter was performed by determining the slope of the logarithmic curve of O.D.₆₀₀ in exponential phase. Exponential phase was determined by visual inspection as the linear phase of the logarithmic curve of O.D.₆₀₀.

The estimated parameters are summarized in the table below:

Nmax [cell number]	μ [min-1]
1*109	0.004925

The reported value of μ corresponds to a doubling time of 142 minutes.

Estimation of the spontaneous degradation of HSL in M9 medium and in cultures at different pH values

Characterization of BBa_T9002 biosensor

As described in the modelling section, BioBrick BBa_T9002 is an HSL biosensor, which provides a non lineaer relationship between HSL input and S_cell output. More precisely, the characteristic sigmoidal curve requires synthetic parameters for its accurate identification. These are the minimum and maximum values, the swtich point (i.e., the curve inflection point), and the upper and lower boundaries of linearity. This biosensor revealed greatly reliable, providing measurement repeatability and minimal experimental noise.

Minimum	Maximum	Switch point	Lower boundary of linearity	Upper boundary of linearity
Minimum	Maximum	Switch point	Lower boundary of linearity	Upper boundary of linearity