FT-IR microspectroscopy for microbiological studies

In this article we present an infrared microspectroscopic investigation on Candida albicans microcolonies, taken as a model system for studies on other microorganisms. Excellent Fourier transform infrared (FT-IR) absorption spectra from 4000 to 850 cm(-1) have been collected in only 20 s from sampling areas of 100x100 microm(2) in microcolonies, which had been transferred from the agar plate onto zinc selenide (ZnSe) windows. When different regions within a single microcolony were investigated, absorption spectra with important differences in the carbohydrate absorption (from 1200 to 850 cm(-1)) were detected for the cells in the center and in the periphery of the colony. Results obtained on microcolonies grown on solid agar with increasing dextrose concentrations indicated that the observed spectral heterogeneity was related to differences in dextrose uptake, which was lower for the old cells in the center of the colony than for the metabolically active cells at the periphery. Although it is otherwise difficult to quantitatively evaluate the dextrose uptake in a microcolony, FT-IR absorption microspectroscopy offers a new and rapid method for the analysis of this process. The possibility of studying highly absorbing colonies by attenuated total reflection (ATR) by means of an ATR microscope germanium objective is also presented here for the first time. An evaluation of the contact area sampled by this technique is reported with a discussion of the spatial resolution, the quality and the potential of the ATR measurements.     

Fourier-transform infrared microspectroscopy,a novel and rapid tool for identification of yeasts

Fourier-transform infrared (FT-IR) microspectroscopy was used in this study to identify yeasts. Cells were grown to microcolonies of 70 to 250 micro m in diameter and transferred from the agar plate by replica stamping to an IR-transparent ZnSe carrier. IR spectra of the replicas on the carrier were recorded using an IR microscope coupled to an IR spectrometer, and identification was performed by comparison to reference spectra. The method was tested by using small model libraries comprising reference spectra of 45 strains from 9 genera and 13 species, recorded with both FT-IR microspectroscopy and FT-IR macrospectroscopy. The results show that identification by FT-IR microspectroscopy is equivalent to that achieved by FT-IR macrospectroscopy but the time-consuming isolation of the organisms prior to identification is not necessary. Therefore, this method also provides a rapid tool to analyze mixed populations. Furthermore, identification of 21 Debaryomyces hansenii and 9 Saccharomyces cerevisiae strains resulted in 92% correct identification at the strain level for S. cerevisiae and 91% for D. hansenii, which demonstrates that the resolution power of FT-IR microspectroscopy may also be used for yeast typing at the strain level.     

Investigating microbial (micro)colony heterogeneity by vibrational spectroscopy

Fourier transform infrared and Raman microspectroscopy are currently being developed as new methods for the rapid identification of clinically relevant microorganisms. These methods involve measuring spectra from microcolonies which have been cultured for as little as 6 h, followed by the nonsubjective identification of microorganisms through the use of multivariate statistical analyses. To examine the biological heterogeneity of microorganism growth which is reflected in the spectra, measurements were acquired from various positions within (micro)colonies cultured for 6, 12, and 24 h. The studies reveal that there is little spectral variance in 6-h microcolonies. In contrast, the 12- and 24-h cultures exhibited a significant amount of heterogeneity. Hierarchical cluster analysis of the spectra from the various positions and depths reveals the presence of different layers in the colonies. Further analysis indicates that spectra acquired from the surface of the colonies exhibit higher levels of glycogen than do the deeper layers of the colony. Additionally, the spectra from the deeper layers present with higher RNA levels than the surface layers. Therefore, the 6-h colonies with their limited heterogeneity are more suitable for inclusion in a spectral database to be used for classification purposes. These results also demonstrate that vibrational spectroscopic techniques can be useful tools for studying the nature of colony development and biofilm formation.     

Fourier-Transform Infrared Microspectroscopy, a Novel and Rapid Tool for Identification of Yeasts

Fourier-transform infrared (FT-IR) microspectroscopy was used in this study to identify yeasts. Cells were grown to microcolonies of 70 to 250 μm in diameter and transferred from the agar plate by replica stamping to an IR-transparent ZnSe carrier. IR spectra of the replicas on the carrier were recorded using an IR microscope coupled to an IR spectrometer, and identification was performed by comparison to reference spectra. The method was tested by using small model libraries comprising reference spectra of 45 strains from 9 genera and 13 species, recorded with both FT-IR microspectroscopy and FT-IR macrospectroscopy. The results show that identification by FT-IR microspectroscopy is equivalent to that achieved by FT-IR macrospectroscopy but the time-consuming isolation of the organisms prior to identification is not necessary. Therefore, this method also provides a rapid tool to analyze mixed populations. Furthermore, identification of 21 Debaryomyces hansenii and 9 Saccharomyces cerevisiae strains resulted in 92% correct identification at the strain level for S. cerevisiae and 91% for D. hansenii, which demonstrates that the resolution power of FT-IR microspectroscopy may also be used for yeast typing at the strain level.     

FT-IR microspectroscopy for early identification of some clinically relevant pathogens

AIMS: To investigate the potentials and limitations of Fourier transform-infrared (FT-IR) microspectroscopy as a tool to identify, at the level of microcolonies, pathogenic bacteria frequently isolated in the clinical environment. METHODS AND RESULTS: A total of 1570 FT-IR spectra from 164 gram-positive and gram-negative bacteria isolated from patients were recorded from 6 to 10-h old microcolonies of 50-150 microm size. A classification of 100% was obtained for the most frequent gram-positive bacteria, such as Staphylococcus aureus, Staphylococcus epidermidis, Enterococcus faecalis, and Enterococcus faecium at the species level. An average accuracy of about 80% was reached with Gram negative bacteria from the Enterobacteriaceae and Pseudomonaceae families; Enterobacter aerogenes, Enterobacter cloacae, Klebsiella spp., and Citrobacter koseri; and Proteus mirabilis and Escherichia coli. Results were comparable with FT-IR measurements on dried suspensions from 18-h cultures. CONCLUSIONS: Early identification of young microcolonies is feasible with FT-IR microscopy with a very high accuracy for gram-positive bacteria. Some improvement in the transfer of microcolonies is necessary to increase the accuracy for gram-negative bacteria. SIGNIFICANCE AND IMPACT OF THE STUDY: Combination of FT-IR microscopy and multivariate data analysis could be a complementary, rapid, and reliable tool for screening and discriminating, at species and subspecies level, micro-organisms of clinical, food-borne, or environmental origins.     

Discrimination of enterobacterial repetitive intergenic consensus PCR types of Campylobacter coli and Campylobacter jejuni by Fourier transform infrared spectroscopy

Fourier transform infrared spectroscopy (FT-IR) has been used together with pattern recognition methodology to study isolates belonging to the species Campylobacter coli and Campylobacter jejuni and to compare FT-IR typing schemes with established genomic profiles based on enterobacterial repetitive intergenic consensus PCR (ERIC-PCR). Seventeen isolates were cultivated under standardized conditions for 2, 3, and 4 days to study variability and improve reproducibility. ERIC-PCR profiles and FT-IR spectra were obtained from strains belonging to the species Campylobacter coli and C. jejuni, normalized, and explored by hierarchical clustering and stepwise discriminant analysis. Strains could be differentiated by using mainly the first-derivative FT-IR spectral range, 1,200 to 900 cm(-1) (described as the carbohydrate region). The reproducibility index varied depending on the ages of the cultures and on the spectral ranges investigated. Classification obtained by FT-IR spectroscopy provided valuable taxonomic information and was mostly in agreement with data from the genotypic method, ERIC-PCR. The classification functions obtained from the discriminant analysis allowed the identification of 98.72% of isolates from the validation set. FT-IR can serve as a valuable tool in the classification, identification, and typing of thermophilic Campylobacter isolates, and a number of types can be differentiated by means of FT-IR spectroscopy.     

FT-IR microspectroscopy: a promising method for the rapid identification of Listeria species

This work presents a pilot study to investigate the potential of fourier transform infrared (FT-IR) microspectroscopy for rapid identification of Listeria at the species level. Using this technique, FT-IR spectra were acquired from 30 strains from five Listeria species. The FT-IR spectra were analysed using stepwise canonical discriminant analysis and partial least-squares regression in a stepwise identification scheme. The results showed that 93% of all the samples were assigned to the correct species, and that 80% of the Listeria monocytogenes strains were correctly identified. In comparison, 100% of the samples, including the L. monocytogenes samples, were correctly identified using spectra acquired by FT-IR macrospectroscopy. The results show that FT-IR microspectroscopy has potential as a rapid screening method for Listeria, which is especially valuable for the food industry.     

Comparison of repetitive-sequence-based polymerase chain reaction with random amplified polymorphic DNA analysis for rapid genotyping of nontuberculosis mycobacteria

Nontuberculosis mycobacteria (NTM) are an important cause of human disease and infections. Though less notorious than tuberculosis, these infections are clinically significant and have been associated with outbreaks in various settings. To accommodate outbreak investigations for the numerous species of NTM, we evaluated a DiversiLab repetitive-sequence-based PCR (rep-PCR) kit for genotyping of mycobacteria. This kit was used to genotype both rapidly and slowly growing mycobacteria and was compared with other PCR-based genotyping methods, including random amplified polymorphic DNA (RAPD) analysis, hsp65 gene sequencing, and mycobacterial interspersed repetitive unit?- variable number of tandem repeat (MIRU-VNTR) analysis. Compared with RAPD analysis, rep-PCR achieved better reproducibility in testing. When compared with hsp65 gene sequencing and MIRU-VNTR for Mycobacterium avium , rep-PCR provided results that agreed with these less discriminatory genotyping methods but provided a higher level of discrimination for situations such as outbreak investigations. We also evaluated the kit for its ability to identify closely related rapidly growing NTM. While rep-PCR was informative in some cases, a much larger library of isolates would be necessary to truly evaluate it as an identification tool. Overall, rep-PCR was able to provide improved reproducibility over RAPD and a discriminatory genotyping method for the isolates evaluated in this study.     

Evaluation of a Simple in-House Test to Presumptively Differentiate Mycobacterium tuberculosis Complex from Nontuberculous Mycobacteria by Detection of p-Nitrobenzoic Acid Metabolites

The timely differentiation of Mycobacterium tuberculosis complex (MTC) and non-tubercular mycobacterium (NTM) species is urgently needed in patient care since the routine laboratory method is time consuming and cumbersome. An easy and cheap method which can successfully distinguish MTC from NTM was established and evaluated. 38 mycobacterial type and reference strains and 65 clinical isolates representing 10 species of mycobacterium were included in this study. Metabolites of p-nitrobenzoic acid (PNB) reduction were identified using liquid chromatography and tandem mass spectrometry (LC/MS/MS). A spectrophotometric method was developed to detect these metabolites, which was evaluated on a number of MTC and NTM species. All of the tested NTM species and strains reduced PNB to p-aminobenzoic acid (PABA), while none of the MTC strains showed a similar activity. Spectrophotometric detection of PABA had 100% sensitivity and specificity for MTC and NTM differentiation among the type strains and the clinical isolates tested. PABA was identified as one of the metabolites of PNB reduction. All the tested NTM species metabolized PNB to PABA whereas the MTC members lacked this activity. A simple, specific and cost-effective method based on PABA production was established in order to discriminate MTC from NTM from cultured organisms.     

Species Spectrum of Nontuberculous Mycobacteria Isolated from Clinical Specimens in Kuwait

Specific identification of mycobacteria is of clinical relevance since treatment varies according to the Mycobacterium species causing infection. All mycobacterial isolates are currently identified as M. tuberculosis (MTB) or nontuberculous mycobacteria (NTM) based on p-nitro-α-acetylamino-β-hydroxypropiophenone (NAP) test, and the species spectrum of NTM-causing infections in Kuwait remains unknown. This study identified all NTM strains isolated in Kuwait from 1 October 2003 to 31 March 2004 to the species level. The mycobacteria were cultured from various clinical specimens using the BACTEC 460 TB system and NAP test was performed to differentiate MTB from NTM strains. The INNO-LiPA MYCOBACTERIA v2 assay (LiPA) was used for species-specific identification of NTM strains and some randomly selected MTB strains. The LiPA results for selected isolates were confirmed by DNA sequencing of the 16S-23S internal transcribed spacer region. A total of 325 isolates of Mycobacterium species originating from 305 individual patients were recovered during the study period, with 307 and 18 isolates identified as MTB and NTM, respectively. The LiPA correctly identified all 18 MTB isolates analyzed. Seven different NTM species were identified among 18 NTM isolates originating from 14 patients, with M. fortuitum causing the majority of NTM infections in Kuwait. One patient was infected with two NTM species. Rapid species-specific identification of NTM may help with appropriate treatment regimens for proper patient management. The DNA sequencing data reported in this study are deposited in EMBL under accession numbers AM709724 to AM709731.     

Fourier transform infrared microspectroscopy as a new tool for nematode studies

We report the results of a microspectroscopy study on the Fourier transform infrared (FT-IR) absorption spectra of Caenorhabditis elegans, collected from the different parts of a single intact specimen--pharynx, intestine and tail regions. The principal absorption bands were assigned to the molecular species present in C. elegans, with an excellent reproducibility for the pharynx spectrum. These results enabled us to explore if FT-IR microspectroscopy could offer a new tool for nematode identification. As an example, the discrimination among four well characterised nematode taxa is reported. The FT-IR results completely match those obtained by Blaxter and colleagues through molecular biology [Nature 392 (1998) 71].     

Classification and identification of bacteria by Fourier-transform infrared spectroscopy.

This study describes a computer-based technique for classifying and identifying bacterial samples using Fourier-transform infrared spectroscopy (FT-IR) patterns. Classification schemes were tested for selected series of bacterial strains and species from a variety of different genera. Dissimilarities between bacterial IR spectra were calculated using modified correlation coefficients. Dissimilarity matrices were used for cluster analysis, which yielded dendrograms broadly equated with conventional taxonomic classification schemes. Analyses were performed with selected strains of the taxa Staphylococcus, Streptococcus, Clostridium, Legionella and Escherichia coli in particular, and with a database containing 139 bacterial reference spectra. The latter covered a wide range of Gram-negative and Gram-positive bacteria. Unknown specimens could be identified when included in an established cluster analysis. Thirty-six clinical isolates of Staphylococcus aureus and 24 of Streptococcus faecalis were tested and all were assigned to the correct species cluster. It is concluded that: (1) FT-IR patterns can be used to type bacteria; (2) FT-IR provides data which can be treated such that classifications are similar and/or complementary to conventional classification schemes; and (3) FT-IR can be used as an easy and safe method for the rapid identification of clinical isolates.     

Non tuberculous mycobacteria (NTM) in patients with underlying diseases: results obtained by using polymerase chain reaction-restriction enzyme analysis between 1997-2002

In this study, we aimed to evaluate the frequency of non-tuberculous mycobacteria (NTM) isolated from clinical specimens using Polymerase Chain Reaction-Restriction Enzyme Analysis (PCR-REA) and to investigate the patients who had clinically significant NTM infections in our hospital through the five year period from May 1997 to June 2002. A total of 364 mycobacterial strains isolated from clinical specimens which gave positive growth index in the BACTEC 460 radiometric system in Hacettepe University Hospital Clinical Microbiology Laboratory were evaluated by PCR-REA and clinical data were obtained from the patient records. Three hundred and one of the strains (82.7%) were identified as Mycobacterium tuberculosis and 63 (17.3%) were identified as nontuberculous mycobacteria. Seven (11.1%) of 63 NTM patients were regarded as having clinical mycobacteriosis. Chronic obstructive pulmonary disease and other pre-existing lung diseases were seen in 39 (61.9%) of the patients, 11 (17.5%) of'the patients had chronic renal failure. Four (6.3%) and 9 (14.3%) of them had AIDS and carcinomas, respectively. PCR-REA was found to be a reliable method for typing of our mycobacterial isolates to the species level. These data may shed light on the epidemiology of the mycobacterial species and help to select a proper treatment regimen.     

Distribution of non-tuberculosis mycobacteria strains from suspected tuberculosis patients by heat shock protein 65 PCR–RFLP

The genus Mycobacterium contains more than 150 species. Non-tuberculosis mycobacteria (NTM) often cause extrapulmonary and pulmonary disease. Mycobacteria detection at species level is necessary and provides useful information on epidemiology and facilitates successful treatment of patients. This retrospective study aimed to determine the incidence of the NTM isolates and Mycobacterium tuberculosis (Mtb) in clinical specimens collected from Iranian patients during February 2011–December 2013, by PCR–restriction fragment length polymorphism analysis (PRA) of the hsp65 gene. We applied conventional biochemical test and hsp65–PRA identification assay to identify species of mycobacteria in specimens from patients suspected of having mycobacterial isolates. This method was a sensitive, specific and effective assay for detecting mycobacterial species and had a 100% sensitivity and specificity for Mtb and Mycobacterium avium complex (MAC) species. Using PRA for 380 mycobacterial selected isolates, including 317 Mtb, four Mycobacterium bovis and of the 59 clinical isolates, the most commonly identified organism was Mycobacterium kansasii (35.6%), followed by Mycobacterium simiae (16.9%), Mycobacterium gordonae (16.9%), Mycobacterium fortuitum (5.1%), Mycobacterium intracellulare (5.1%), Mycobacterium avium (5.1%), Mycobacterium scrofulaceum (3.4%), Mycobacterium gastri (3.4%), Mycobacterium flavescens (3.4%), Mycobacterium chelonae (3.4%) and Mycobacterium nonchromogenicum (1.7%). PRA method, in comparison with classical methods, is rapid, useful and sensitive for the phylogenetic analysis and species detection of mycobacterial strains. Mycobacterium kansasii is the most common cause of infection by NTM in patients with non-HIV and HIV which demonstrated a high outbreak and diversity of NTM strains in our laboratory.     

Rapid identification of Candida species by FT-IR microspectroscopy

Due to the continuous increase of human candidiasis and the great diversity of yeasts of the Candida genera, it is indispensable to identify this yeast as early as possible. Early identification enables an early diagnostic and patient-adapted anti-fungal therapy, thus reducing morbidity and mortality related to these infections. In view of this, we have in this study investigated microcolonies using a method based on Fourier transform-infrared microspectroscopy (FTIRM) for a rapid and early identification of the most frequent Candida species encountered in human pathology. FTIR spectroscopy is a whole-cell "fingerprinting" method by which microorganisms can be identified. By exploiting the huge discriminating capacity of this technique, we identified 6 species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida tropicalis, Candida krusei, and Candida kefyr) from a collection of 57 clinical strains of Candida, isolated from hospitalised patients. Data obtained on 10- to 18-h-old microcolonies were compared to cultures of 24 h. Our results clearly show the efficiency and the robustness of FTIR (micro)spectroscopy in identifying species with a classification rate of 100% for both microcolonies and 24-h cultures. FTIR microspectroscopy is thus a promising clinical approach, because compared to conventional and molecular techniques, it is time and money saving, has great identification and discriminating potentials, and is amenable to an automated high-throughput routine system.     

Raman spectroscopic identification of Mycobacterium tuberculosis

In this study, Raman microspectroscopy has been utilized to identify mycobacteria to the species level. Because of the slow growth of mycobacteria, the per se cultivation‐independent Raman microspectroscopy emerges as a perfect tool for a rapid on‐the‐spot mycobacterial diagnostic test. Special focus was laid upon the identification of Mycobacterium tuberculosis complex (MTC) strains, as the main causative agent of pulmonary tuberculosis worldwide, and the differentiation between pathogenic and commensal nontuberculous mycobacteria (NTM). Overall the proposed model considers 26 different mycobacteria species as well as antibiotic susceptible and resistant strains. More than 8800 Raman spectra of single bacterial cells constituted a spectral library, which was the foundation for a two‐level classification system including three support vector machines. Our model allowed the discrimination of MTC samples in an independent validation dataset with an accuracy of 94% and could serve as a basis to further improve Raman microscopy as a first‐line diagnostic point‐of‐care tool for the confirmation of tuberculosis disease.

     

Detection of mycobacteria in clinical specimen using the mycobacteria growth indicator tube (MGIT) and the Lowenstein Jensen medium.

The recovery rates of mycobacteria strains isolated from 1200 clinical specimens using the mycobacteria growth indicator tube (MGIT) system and the conventional Lowenstein Jensen medium (LJ) were assessed. Of the 87 mycobacterial isolates recovered, 54 belonged to the M. tuberculosis complex (MTB) and 33 to the non-tuberculosis complex (NTM). MGIT recovered 78 (89.65%) mycobacteria isolates (51 MTB (94.44%) and 27 NTM (81.81%) and LJ recovered 70 (80.46%) mycobacteria isolates (49 MTB (90.74%) and 21 NTM (63.63%). Sixty one (70.1%) of the total mycobacteria isolates were recovered with both systems (46 (85.2%) MTB and 15 (45.5%) NTM). No significant difference was found between MGIT and LJ (p > 0.05) in both MTB and NTM recoveries. The average detection time for MTB was significantly shorter with MGIT than with LJ, in both the smear-positive specimens (8 vs 30 days: p < 0.0001) and smear-negative specimens (15 vs 30 days: p < 0.001). The average detection time of NTM was also shorter for MGIT (15 vs 30 days: p < 0.0001). However, the contamination rate was higher in MGIT (8.5%) than in LJ (3%). The results suggest that the use of MGIT contributes to a more rapid and effective diagnosis of mycobacterial infections particularly when combined with the classical LJ.     

Rapid typing of bacteria using matrix-assisted laser desorption ionisation time-of-flight mass spectrometry and pattern recognition software.

Matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF-MS) of intact microorganisms, also known as intact cell MALDI-TOF-MS (ICM-MS), has been shown to produce characteristic mass spectral fingerprints of moieties desorbed from the cell surface. ICM-MS spectra can be obtained in minutes after removal of a colony from a culture plate. The similarity of ICM-MS spectra of replicate samples and of two different batches of the same bacterial strain demonstrates, in this study, the reproducibility of the technique. We have developed the Manchester Metropolitan University Search Engine (MUSE) to rapidly build and search databases of ICM-MS spectra. A database of 35 strains, representing 20 species and 12 genera, was built with MUSE and used to identify 212 isolates. The database was created in 26 s and loaded in 10 s, ready for searching, which took less than 1 s per isolate. Correct matches were made in 79%, 84% and 89% of the 212 samples at strain, species and genus levels, respectively. At least 50% of the replicates of 42 of the 45 isolates matched the correct strain, and the most commonly identified species for 43 of the 45 isolates was the correct one. The close match of the Escherichia coli strains containing the O157 antigen and the E. coli strains containing the K1 antigen suggests that these antigens may have a dominating influence on the ICM-MS fingerprints of these strains. We now have the ability to acquire ICM-MS fingerprints of bacteria and to search a database of these fingerprints within minutes, so that the rapid identification of bacteria to the strain level can be realised.     

Classification and identification of Arabidopsis cell wall mutants using Fourier-Transform InfraRed (FT-IR) microspectroscopy

We have developed a novel procedure for the rapid classification and identification of Arabidopsis mutants with altered cell wall architecture based on Fourier-Transform Infrared (FT-IR) microspectroscopy. FT-IR transmission spectra were sampled from native 4-day-old dark-grown hypocotyls of 46 mutants and the wild type treated with various drugs. The Mahalanobis distance between mutants, calculated from the spectral information after compression with the Discriminant Variables Selection procedure, was used for alpha hierarchical cluster analysis. Despite the completely unsupervised nature of the classification procedure, we show that all mutants with cellulose defects appeared in the same cluster. In addition, mutant alleles of similar strength for several unrelated loci were also clustered, which demonstrates the sensitivity of the method to detect a wide array of cell wall defects. Comparing the cellulose-deficient cluster with the cluster that contained wild-type controls led to the identification of wave numbers that were diagnostic for altered cellulose content in the context of an intact cell wall. The results show that FT-IR spectra can be used to identify different classes of mutants and to characterize cell wall changes at a microscopic level in unknown mutants. This procedure significantly accelerates the identification and classification of cell wall mutants, which makes cell wall polysaccharides more accessible to functional genomics approaches.     

Survival of heated or irradiated Chinese hamster ovary microcolonies that develop after an initial dose of heat

Asynchronous or synchronous G1 cells were heated initially and then heated or irradiated a second time when the multiplicity of viable cells in microcolonies that developed from cells surviving the first heat dose had increased to 6-30. The survival of these microcolonies was compared with the survival of single cells that were heated or irradiated after the microcolonies had been trypsinized and dispersed into single cells. The survival of the single cells was similar to the survival of the microcolonies and much higher than single cell survival calculated by correcting microcolony survival for multiplicity. However, when microcolonies developed from control unheated cells, the observed single cell survival corresponded to single cell survival calculated by correcting microcolony survival for multiplicity. Therefore, multiplicity corrections, which assume that cells within a microcolony survive independently from one another, are not valid when the microcolony has developed from a cell surviving an initial heat treatment.