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Bacteria are classified based on three major groupings: their stain on a Gram test, their shape, and their dependence on oxygen. Gram-positive bacteria turn blueish/purple during a Gram test. Gram-negative bacteria turn red during a Gram test.
Microorganism identification and characterisation DNA sequencing to identify bacteria, moulds and yeasts. Riboprinter analysis for bacterial identification and characterisation. Repeatbased polymerase chain reaction for assessing the similarity of microorganisms.
Phenotypic methods use the metabolic differences between different species to identify microorganisms. Generally, they involve a combination of Gram staining, culture, and biochemical tests. As the different tests are carried out, the results obtained narrow the possible options until an identification is obtained.
Bacterial isolates were phenotypically characterized for their presumptive identification, and groupings were done on the basis of cell morphology, Grams reaction, colony morphology, catalase test, sporulation tests, gas production from glucose, and ammonia production from arginine (Holt et al., 1994).
Bacteria are identified routinely by morphological and biochemical tests, supplemented as needed by specialized tests such as serotyping and antibiotic inhibition patterns. Newer molecular techniques permit species to be identified by their genetic sequences, sometimes directly from the clinical specimen.
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Bacteria are identified routinely by morphological and biochemical tests, supplemented as needed by specialized tests such as serotyping and antibiotic inhibition patterns.
Common microbiology testing methods The common methods used for microbiology testing analysis include the multiple-tube fermentation (MPN) method, spread plate method, pour plate method, and membrane filtration method.
Two commonly used strategies for microbiome profiling include the sequencing of a highly conserved region, such as the bacterial 16S ribosomal RNA (16S rRNA), and the untargeted sequencing of genetic material present in the sample, as in shotgun metagenomics (see Box 1 for more information) (Nayfach et al., 2019).

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