Therapeutic methods are very important in the prevalence of opportunistic fungal infections, which are an important cause of human diseases. In this study, air pollution agents that are in direct contact with microorganisms, and the effects of carbon sources using CO2 and MTBE on growth of fungi, and particularly the evaluation of changes in the expression of interfering genes in susceptibility and drug resistance in these fungi, were investigated.
Collecting samples and isolating
Upregulation of some genes on the two mentioned yeasts had led to drug resistance in them; they were previously sensitive to both drugs. Correspondingly, 41% of
Air pollutants such as CO2 and MTBE eventually caused drug resistance in
Keywords
- air pollutant
- CO
- MTBE
- drug resistance
- molecular investigation
Air pollution has become a major environmental challenge facing humanity in this century. Many agents, such as environmental elements, play an important role in human life. Geographical conditions, temperature, humidity, and pollution also have a major effect on the health or illness of humans and are considered to be a global threat [1].
Allergic syndrome, hypersensitivity syndrome, inflammation of paranasal sinusitis, itching, respiratory infection, and many other diseases have resulted from these elements. In this way, pollution has an impact on eukaryotic and prokaryote cells, and on humans [2]. Correspondingly,
Nowadays air pollution has affected many organisms such as fungi, and has created many changes in their features. One of these pollutants is MTBE (methyl tert-butyl ether), used as a fuel additive to improve and reduce greenhouse gases and other hazardous pollutants, used instead of lead in gasoline all around the world. This substance has a very high solubility that has a high risk for contamination of drinking water [13]. The addition of MTBE improves the physical characteristic of liquid fuels (used at 15% by volume). MTBE has aqueous solubility (>5 g L−1), low sorption to soil and sediments, and volatile. Some microbial genera can use the compound and metabolize MTBE completely to CO2; it is used as a carbon source by some prokaryotic organisms [14]. To find out the relation of CO2 and MTBE exposure and drug resistance identification, the effects of CO2 and methyl tertiary butyl ether (C5H12O-MTBE) concentration on
In this study, clinical isolates obtained from two hospitals (Imam Khomeini and Shariati Hospitals, Tehran, Iran) were used. Previously isolated samples maintained in mycology collection in the school of public health at Tehran University of Medical Sciences, and standard strains of
About 105 patients with cutaneous, mucous, and deep infections of candidiasis were obtained in 2016–2017 from the mentioned centers. The samples included: nails, sputum, stool, BAL, groin, skin, and mouth. We investigated 33 samples of
All obtained yeasts were detected by morphological and molecular trends. For morphological identification, we used CHROMagar
Besides, RFLP-PCR was utilized for verifying the identification of
For DNA extraction, 103 cells/ml of all isolates from fresh colonies were harvested, then the glass bead disruption method was done. Briefly, cultured yeasts were dissolved in 1.5 ml micro-centrifuge tube and 300 mg of 0.5 mm diameter glass beads, 300 μl of lysis buffer (100mM Tris-HCl pH 8, 10 mM EDTA, 100 mM NaCl, 1% sodium dodecyl sulphate), and 300 μl of phenol chloroform-isoamyl alcohol (25:24:1) were added. Then all samples were shaken for 5 min, centrifuged for 5 min at 5000 rpm. The supernatant was transferred to a fresh tube and extracted again with chloroform. High molecular weight DNA was precipitated by adding the same volume of isopropanol and 0.1 volume of 3 M sodium acetate (pH 5.2). After that, the solution was completely vortexed and incubated for 10 min at −20° C and centrifuged for 15 min at 12000 rpm. The precipitant was washed with ice-cold 70% ethanol, dried in the air, dissolved in 50 μl of double distilled water, and stored at −20° C until used for complementary identification of isolates.
Then for detection of
This test was performed based on broth microdilution Clinical and Laboratory Standard Institute (M27A4) method of CLSI with RPMI1640 (Gibco, USA). Briefly,
Only sensitive isolates were selected for being confronted with interference agents. We have had the same condition of CLSI protocol for all samples before and after they were confronted with the interference agents CO2 and MTBE.
CO2 atmosphere was provided by using a 20-L cell culture CO2 incubator (SLS, USA). The amount of CO2 injection was monitored by the calibrated automatic control panel in this incubator.
In this study, we cultured all samples (30 samples) on SDA medium and incubated them at 37° C in a 5% CO2 incubator for 1–4 weeks alternatively. Simultaneously, the samples were also cultured in the same condition without CO2 for comparing the obtained morphological results.
In this study, all samples were cultured on SDB containing 5 mg/ml MTBE and incubated at 37 degrees for 1–4 weeks alternatively.
Alternatively, isolates were confronted with CO2 and MTBE for four weeks. MIC tests were repeated to detect possible resistances to fluconazole and itraconazole. The same condition described previously was followed for MIC and all tests were performed in duplicate.
The RNA molecules were extracted by the RNX-plus kit (Sinaclon Co., Iran) from all
The obtained cDNAs were then utilized in real-time PCR assay with specific primers and by using AMPLICQON (Real Q plus 2x master mixes Green High Rox) in the ABI one step (Biosystems, Rotkreus, Switzerland) instrument. The mixture contained 10 µl of master mix (Green High Rox), 1 µl of each specific primer (ERG11, CDR1, HWP1, EPA1, SAP1-3), and 2 µl of each cDNA sample. The mixture was adjusted to the final volume of 20 µl applying DEPC water. The program of real-time PCR was as follows: initial denaturation at 95° C for 2 minutes and followed by 40 cycles including in 95° C for 20 seconds, 59–60° C for 20 seconds, and 72° C for 30 seconds.
The specific primers (ERG11, CDR1, HWP1, EPA1, and SAP1-3) were designed by applying all-ID design software (Table 1) [15, 16, 17, 18, 19, 20].
Sequences of primers used in Real-time PCR reaction in C. albicans and C. glabrata
Sap1 | Forward | TGGGTTCCTGATGCTTCTGTT |
Reverse | TCGGCAAAGACTTGCTTTGTG | |
Sap2 | Forward | GGGGACATATGATCCAAGTGGT |
Reverse | CCACCGGCTTCATTGGTTTT | |
Sap3 | Forward | ATGTTACTGGTCCCCAAGGTG |
Reverse | CCTTGACCAGCTTGACATGAA | |
HWP1 | Forward | AATCATCAGCTCCTGCCACTG |
Reverse | GTCGTAGAGACGACAGCACTA | |
CDR1 | Forward | GGTGCTAATATCCAATGTTGG |
Reverse | GTAATGGTTCTCTTTCAGCTG | |
EPA1 | Forward | GGTCACTTACCCGCAAGCTA |
Reverse | CCAGATGGCGTAGGCTTGAT | |
ERG11 | Forward | GAGATTGCACCACCCATTGC |
Reverse | TGGAGATAGCACCGAAACCG | |
β-actin | Forward | ACGGTATTGTTTCCAACTGGGACG |
Reverse | TGGAGCTTCGGTCAACAAAACTGG |
The β-actin gene was used for the optimization of the real-time PCR as a housekeeping gene. The reactions were performed in duplicate and the analysis was done by REST2009 software.
The effect of MTBE and CO2 on drug sensitivity and some virulence factors in
Dispersion the sources of Candida isolates
Nature of specimen | Other spices | Number of |
% | ||
---|---|---|---|---|---|
BAL | 8 | 3 | 8 | 19 | 18.02 |
SPUTUM | 13 | 10 | 31 | 54 | 51.42 |
NAIL | 6 | 2 | 4 | 12 | 11.42 |
MOUTH | 2 | - | 2 | 4 | 3.8 |
GROIN | 3 | - | 4 | 7 | 6.68 |
SKIN | 1 | 1 | 4 | 6 | 5.81 |
STOOL | - | 1 | 2 | 3 | 2.85 |
Total | 33 | 17 | 60 | 105 |
The minimum inhibitory concentrations (MICs) against fluconazole and itraconazole were evaluated based on the M27-A4 method. Based on the obtained results, 20 samples of
Fig. 1
Sensitivity pattern of C. albicans and C. glabrata

Isolates of C. albicans and C. glabrata which were sensitive for both drugs with PCR-RFLP
TMML no | Source sample | MIC ( |
MIC ( |
|
---|---|---|---|---|
TMML1 | BAL | 0.016 | 0.125 | |
TMML2 | sputum | 0.25 | 2 | |
TMML3 | sputum | 0.125 | 1 | |
TMML4 | sputum | 0.5 | 1 | |
TMML5 | mouth | 0.016 | 1 | |
TMML6 | nail | 0.5 | 1 | |
TMML7 | nail | 1 | 2 | |
TMML8 | BAL | 0.016 | 1 | |
TMML9 | nail | 0.062 | 0.5 | |
TMML10 | groin | 0.016 | 0.5 | |
TMML11 | BAL | 0.016 | 0.5 | |
TMML12 | BAL | 0.062 | 0.5 | |
TMML13 | sputum | 0.125 | 0.25 | |
TMML14 | sputum | 0.125 | 0.25 | |
TMML15 | sputum | 0.016 | 0.5 | |
TMML16 | sputum | 0.016 | 0.25 | |
TMML17 | skin | 0.5 | 2 | |
TMML18 | sputum | 0.125 | 0.5 | |
TMML19 | groin | 0.016 | 1 | |
TMML20 | sputum | 0.031 | 0.5 | |
TMML21 | stool | 1 | 8 | |
TMML22 | sputum | 0.5 | 8 | |
TMML23 | sputum | 1 | 16 | |
TMML24 | sputum | 1 | 8 | |
TMML25 | sputum | 0.25 | 8 | |
TMML26 | sputum | 1 | 16 | |
TMML27 | sputum | 0.125 | 16 | |
TMML28 | sputum | 1 | 8 | |
TMML29 | skin | 1 | 8 | |
TMML30 | BAL | 0.062 | 1 |
MIC result after CO2 exposure and MTBE in C. albicans and C. glabrata
Flu | Itra | Flu | Itra | Flu | Itra | Flu | Itra | ||
TMML1 | 4 | 1 | 4 | 1 | 2 | 2 | 32 | 8 | |
TMML2 | 2 | 0.5 | 2 | 0.5 | 1 | 0.5 | 16 | 2 | |
TMML3 | 2 | 0.5 | 4 | 0.5 | 0.5 | 1 | 16 | 2 | |
TMML4 | 2 | 0.5 | 4 | 1 | 0.5 | 0.25 | 16 | 4 | |
TMML5 | 2 | 0.5 | 2 | 0.5 | 2 | 0.5 | 16 | 4 | |
TMML6 | 4 | 0.5 | 64 | 16 | 0.5 | 1 | 32 | 2 | |
TMML7 | 2 | 0.5 | 2 | 0.5 | 0.5 | 0.062 | 0.5 | 0.125 | |
TMML8 | 2 | 0.5 | 4 | 0.5 | 1 | 0.5 | 32 | 4 | |
TMML9 | 4 | 1 | 64 | 16 | 1 | 1 | 16 | 8 | |
TMML10 | 2 | 0.125 | 64 | 16 | 0.5 | 0.25 | 32 | 2 | |
TMML11 | 0.125 | 0.062 | 0.5 | 0.125 | 1 | 0.4 | 16 | 4 | |
TMML12 | 64 | 16 | 64 | 16 | 2 | 2 | 64 | 16 | |
TMML13 | 64 | 16 | 64 | 16 | 0.125 | 0.125 | 0.125 | 0.25 | |
TMML14 | 64 | 16 | 64 | 16 | 0.5 | 0.25 | 1 | 0.25 | |
TMML15 | 64 | 16 | 64 | 16 | 1 | 0.25 | 16 | 8 | |
TMML16 | 64 | 16 | 64 | 16 | 4 | 2 | 64 | 16 | |
TMML17 | 64 | 16 | 64 | 16 | 2 | 2 | 64 | 16 | |
TMML18 | 0.025 | 0.025 | 64 | 16 | 1 | 0.25 | 16 | 16 | |
TMML19 | 64 | 16 | 64 | 16 | 1 | 0.25 | 2 | 0.5 | |
TMML20 | 64 | 16 | 64 | 16 | 0.5 | 0.5 | 1 | 0.5 | |
TMML21 | 64 | 16 | 64 | 16 | 0.5 | 0.5 | 1 | 0.5 | |
TMML22 | 64 | 16 | 64 | 16 | 0.25 | 0.25 | 1 | 0.5 | |
TMML23 | 64 | 16 | 64 | 16 | 2 | 0.125 | 64 | 16 | |
TMML24 | 64 | 16 | 64 | 16 | 0.5 | 1 | 0.5 | 0.5 | |
TMML25 | 1 | 0.5 | 2 | 0.5 | 0.25 | 0.125 | 2 | 0.5 | |
TMML26 | 0.062 | 0.031 | 64 | 16 | 0.25 | 0.125 | 0.25 | 0.125 | |
TMML27 | 1 | 0.25 | 2 | 1 | 0.25 | 0.5 | 1 | 0.5 | |
TMML28 | 64 | 16 | 64 | 16 | 0.25 | 0.062 | 0.25 | 0.25 | |
TMML29 | 64 | 16 | 64 | 16 | 0.5 | 1 | 16 | 4 | |
TMML30 | 64 | 16 | 64 | 16 | 0.25 | 0.062 | 0.25 | 0.5 |
The resistant species of both
In this study, most species increased the expression of genes associated with biofilm formation. 58.8% of all
Expression of ERG11, EPA1, SAP3 genes in comparison with β-actin in C. glabrata
Gene | Type | Reaction Efficiency | Expression | Std. Error | 95% C.I. | P(H1) | Result |
---|---|---|---|---|---|---|---|
ERG11 | TRG | 1.0 | 0.876 | 0.045 - 29.445 | 0.000 - 123.640 | 0.894 | |
EPA1 | TRG | 1.0 | 64.669 | 1.893 - 866.949 | 0.438 - 8,060.454 | 0.000 | UP |
SAP3 | TRG | 1.0 | 0.745 | 0.009 - 17.387 | 0.000 - 434.218 | 0.784 | |
B-act | REF | 1.0 | 1.000 |
Fig. 2
Total result of C. glabrata. genes expression (ERG11, EPA1, SAP3)

In
Expression of CDR1, HWP1, SAP1-3 genes in comparison with β-actin in C. albicans
Gene | Type | Reaction Efficiency | Expression | Std. Error | 95% C.I. | P(H1) | Result |
---|---|---|---|---|---|---|---|
CDR1 | TRG | 1.0 | 1.623 | 0.160 - 20.966 | 0.035 - 68.781 | 0.342 | |
HWP1 | TRG | 1.0 | 1.300 | 0.069 - 21.856 | 0.009 - 533.742 | 0.702 | |
SAp3 | TRG | 1.0 | 2.298 | 0.471 - 20.190 | 0.077 - 48.176 | 0.042 | UP |
Ssp2 | TRG | 1.0 | 4.547 | 0.388 - 86.223 | 0.007 - 849.223 | 0.024 | UP |
Sap1 | TRG | 1.0 | 2.243 | 0.025 - 763.031 | 0.000 - 12,429.932 | 0.491 | |
B-act | REF | 1.0 | 1.000 |
Fig. 3
Total result of C. albicans genes expression (CDR1, HWP1, SAP1-3)

The result of biofilm formation for
Fig. 4
Result of biofilm formation for C. albicans according to the effects of CO2 and MTBE

Fig. 5
Result of biofilm formation for C. glabrata according to the effects of CO2 and MTBE

Air pollution such as MTBE and high concentrations of CO2 (as an ubiquitous molecule) are among important environmental agents that threaten all living organisms, including yeasts. MTBE has been established as a human carcinogen by affecting oxidative stress and mitochondrial membrane and lysosomal membrane damages [13]. It has a negative effect on humans, such as a toxicity effect on human blood lymphocytes. This substance was used in liquid form with a purity of 99.9%. Evidently, the CO2 concentration in humans is higher than air. The amount of CO2 in the air is 0.03% and CO2 concentration in human bodies is 4.5–30%. Therefore, the CO2 content in humans is hundreds of times higher than in air. Recent research has reported that a low level of CO2 can cause changes in some virulence factors in the gene level [25]. CO2 is used for antimicrobial activity, especially the maintenance of foodstuffs, as it can impact microorganisms by inactivation of the cells.
However, in some countries, using MTBE is banned due to frequent soil and groundwater pollution by accidental spills from distribution systems and storage facilities. Butyl ether methyl is a gas additive that is added to increase the octane number and produced from methanol and iso-butylene. It is mainly used as a fuel oxygenating agent. The negative advantage of using this material is leak to surface and underwater minerals, but it is one of the major sources of contamination.
CO2 could affect fungal physiology, morphology, and pathogenesis, respectively; it could also affect allergenic properties in pathogenic fungi. CO2 concentration may also be considered an important pollution agent, affecting many features of yeast, which causes changes in its physiological and morphological characteristics. CO2 is stimulus-inducing for filamentation in
Kim and colleagues have indicated some changes occurred in
Recent investigation demonstrates that
Another study has shown that MTBE and other ethers were used as a carbon source during the growth of propane by some microorganisms such as
Several species of
Cell walls in
Molecular proteins are produced by the aspartyl proteinase gene which has an important role in the virulence of
Recent studies indicated some pathogenic changes in
Shabir Ahmad Lone and coworkers in 2019 had claimed that the new antifungal eugenol tosylate congeners (ETC-5, ETC-6, and ETC-7) have a fungicidal effect on
In the present study, expression of secretory enzymes including aspartyl protease (SAP) and biofilm formation and study of drug sensitivity modification (MIC) are evaluated by real-time PCR. We evaluated the effect of CO2 and MTBE on drug susceptibility and some virulence factors of
In addition to molecular studies of the aforementioned genes, the function of other genes along with the epigenetic and genetic investigation of these genes in molecular pathways is important.
Some genes associated with
Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Sequences of primers used in Real-time PCR reaction in C. albicans and C. glabrata
Sap1 | Forward | TGGGTTCCTGATGCTTCTGTT |
Reverse | TCGGCAAAGACTTGCTTTGTG | |
Sap2 | Forward | GGGGACATATGATCCAAGTGGT |
Reverse | CCACCGGCTTCATTGGTTTT | |
Sap3 | Forward | ATGTTACTGGTCCCCAAGGTG |
Reverse | CCTTGACCAGCTTGACATGAA | |
HWP1 | Forward | AATCATCAGCTCCTGCCACTG |
Reverse | GTCGTAGAGACGACAGCACTA | |
CDR1 | Forward | GGTGCTAATATCCAATGTTGG |
Reverse | GTAATGGTTCTCTTTCAGCTG | |
EPA1 | Forward | GGTCACTTACCCGCAAGCTA |
Reverse | CCAGATGGCGTAGGCTTGAT | |
ERG11 | Forward | GAGATTGCACCACCCATTGC |
Reverse | TGGAGATAGCACCGAAACCG | |
β-actin | Forward | ACGGTATTGTTTCCAACTGGGACG |
Reverse | TGGAGCTTCGGTCAACAAAACTGG |
MIC result after CO2 exposure and MTBE in C. albicans and C. glabrata
Flu | Itra | Flu | Itra | Flu | Itra | Flu | Itra | ||
TMML1 | 4 | 1 | 4 | 1 | 2 | 2 | 32 | 8 | |
TMML2 | 2 | 0.5 | 2 | 0.5 | 1 | 0.5 | 16 | 2 | |
TMML3 | 2 | 0.5 | 4 | 0.5 | 0.5 | 1 | 16 | 2 | |
TMML4 | 2 | 0.5 | 4 | 1 | 0.5 | 0.25 | 16 | 4 | |
TMML5 | 2 | 0.5 | 2 | 0.5 | 2 | 0.5 | 16 | 4 | |
TMML6 | 4 | 0.5 | 64 | 16 | 0.5 | 1 | 32 | 2 | |
TMML7 | 2 | 0.5 | 2 | 0.5 | 0.5 | 0.062 | 0.5 | 0.125 | |
TMML8 | 2 | 0.5 | 4 | 0.5 | 1 | 0.5 | 32 | 4 | |
TMML9 | 4 | 1 | 64 | 16 | 1 | 1 | 16 | 8 | |
TMML10 | 2 | 0.125 | 64 | 16 | 0.5 | 0.25 | 32 | 2 | |
TMML11 | 0.125 | 0.062 | 0.5 | 0.125 | 1 | 0.4 | 16 | 4 | |
TMML12 | 64 | 16 | 64 | 16 | 2 | 2 | 64 | 16 | |
TMML13 | 64 | 16 | 64 | 16 | 0.125 | 0.125 | 0.125 | 0.25 | |
TMML14 | 64 | 16 | 64 | 16 | 0.5 | 0.25 | 1 | 0.25 | |
TMML15 | 64 | 16 | 64 | 16 | 1 | 0.25 | 16 | 8 | |
TMML16 | 64 | 16 | 64 | 16 | 4 | 2 | 64 | 16 | |
TMML17 | 64 | 16 | 64 | 16 | 2 | 2 | 64 | 16 | |
TMML18 | 0.025 | 0.025 | 64 | 16 | 1 | 0.25 | 16 | 16 | |
TMML19 | 64 | 16 | 64 | 16 | 1 | 0.25 | 2 | 0.5 | |
TMML20 | 64 | 16 | 64 | 16 | 0.5 | 0.5 | 1 | 0.5 | |
TMML21 | 64 | 16 | 64 | 16 | 0.5 | 0.5 | 1 | 0.5 | |
TMML22 | 64 | 16 | 64 | 16 | 0.25 | 0.25 | 1 | 0.5 | |
TMML23 | 64 | 16 | 64 | 16 | 2 | 0.125 | 64 | 16 | |
TMML24 | 64 | 16 | 64 | 16 | 0.5 | 1 | 0.5 | 0.5 | |
TMML25 | 1 | 0.5 | 2 | 0.5 | 0.25 | 0.125 | 2 | 0.5 | |
TMML26 | 0.062 | 0.031 | 64 | 16 | 0.25 | 0.125 | 0.25 | 0.125 | |
TMML27 | 1 | 0.25 | 2 | 1 | 0.25 | 0.5 | 1 | 0.5 | |
TMML28 | 64 | 16 | 64 | 16 | 0.25 | 0.062 | 0.25 | 0.25 | |
TMML29 | 64 | 16 | 64 | 16 | 0.5 | 1 | 16 | 4 | |
TMML30 | 64 | 16 | 64 | 16 | 0.25 | 0.062 | 0.25 | 0.5 |
Isolates of C. albicans and C. glabrata which were sensitive for both drugs with PCR-RFLP
TMML no | Source sample | MIC ( |
MIC ( |
|
---|---|---|---|---|
TMML1 | BAL | 0.016 | 0.125 | |
TMML2 | sputum | 0.25 | 2 | |
TMML3 | sputum | 0.125 | 1 | |
TMML4 | sputum | 0.5 | 1 | |
TMML5 | mouth | 0.016 | 1 | |
TMML6 | nail | 0.5 | 1 | |
TMML7 | nail | 1 | 2 | |
TMML8 | BAL | 0.016 | 1 | |
TMML9 | nail | 0.062 | 0.5 | |
TMML10 | groin | 0.016 | 0.5 | |
TMML11 | BAL | 0.016 | 0.5 | |
TMML12 | BAL | 0.062 | 0.5 | |
TMML13 | sputum | 0.125 | 0.25 | |
TMML14 | sputum | 0.125 | 0.25 | |
TMML15 | sputum | 0.016 | 0.5 | |
TMML16 | sputum | 0.016 | 0.25 | |
TMML17 | skin | 0.5 | 2 | |
TMML18 | sputum | 0.125 | 0.5 | |
TMML19 | groin | 0.016 | 1 | |
TMML20 | sputum | 0.031 | 0.5 | |
TMML21 | stool | 1 | 8 | |
TMML22 | sputum | 0.5 | 8 | |
TMML23 | sputum | 1 | 16 | |
TMML24 | sputum | 1 | 8 | |
TMML25 | sputum | 0.25 | 8 | |
TMML26 | sputum | 1 | 16 | |
TMML27 | sputum | 0.125 | 16 | |
TMML28 | sputum | 1 | 8 | |
TMML29 | skin | 1 | 8 | |
TMML30 | BAL | 0.062 | 1 |
Dispersion the sources of Candida isolates
Nature of specimen | Other spices | Number of |
% | ||
---|---|---|---|---|---|
BAL | 8 | 3 | 8 | 19 | 18.02 |
SPUTUM | 13 | 10 | 31 | 54 | 51.42 |
NAIL | 6 | 2 | 4 | 12 | 11.42 |
MOUTH | 2 | - | 2 | 4 | 3.8 |
GROIN | 3 | - | 4 | 7 | 6.68 |
SKIN | 1 | 1 | 4 | 6 | 5.81 |
STOOL | - | 1 | 2 | 3 | 2.85 |
Total | 33 | 17 | 60 | 105 |
Expression of CDR1, HWP1, SAP1-3 genes in comparison with β-actin in C. albicans
Gene | Type | Reaction Efficiency | Expression | Std. Error | 95% C.I. | P(H1) | Result |
---|---|---|---|---|---|---|---|
CDR1 | TRG | 1.0 | 1.623 | 0.160 - 20.966 | 0.035 - 68.781 | 0.342 | |
HWP1 | TRG | 1.0 | 1.300 | 0.069 - 21.856 | 0.009 - 533.742 | 0.702 | |
SAp3 | TRG | 1.0 | 2.298 | 0.471 - 20.190 | 0.077 - 48.176 | 0.042 | UP |
Ssp2 | TRG | 1.0 | 4.547 | 0.388 - 86.223 | 0.007 - 849.223 | 0.024 | UP |
Sap1 | TRG | 1.0 | 2.243 | 0.025 - 763.031 | 0.000 - 12,429.932 | 0.491 | |
B-act | REF | 1.0 | 1.000 |
Expression of ERG11, EPA1, SAP3 genes in comparison with β-actin in C. glabrata
Gene | Type | Reaction Efficiency | Expression | Std. Error | 95% C.I. | P(H1) | Result |
---|---|---|---|---|---|---|---|
ERG11 | TRG | 1.0 | 0.876 | 0.045 - 29.445 | 0.000 - 123.640 | 0.894 | |
EPA1 | TRG | 1.0 | 64.669 | 1.893 - 866.949 | 0.438 - 8,060.454 | 0.000 | UP |
SAP3 | TRG | 1.0 | 0.745 | 0.009 - 17.387 | 0.000 - 434.218 | 0.784 | |
B-act | REF | 1.0 | 1.000 |
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