6 research outputs found

    Image_1_Whole-Cell MALDI-TOF MS Versus 16S rRNA Gene Analysis for Identification and Dereplication of Recurrent Bacterial Isolates.PDF

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    <p>Many ecological experiments are based on the extraction and downstream analyses of microorganisms from different environmental samples. Due to its high throughput, cost-effectiveness and rapid performance, Matrix Assisted Laser Desorption/Ionization Mass Spectrometry with Time-of-Flight detector (MALDI-TOF MS), which has been proposed as a promising tool for bacterial identification and classification, could be advantageously used for dereplication of recurrent bacterial isolates. In this study, we compared whole-cell MALDI-TOF MS-based analyses of 49 bacterial cultures to two well-established bacterial identification and classification methods based on nearly complete 16S rRNA gene sequence analyses: a phylotype-based approach, using a closest type strain assignment, and a sequence similarity-based approach involving a 98.65% sequence similarity threshold, which has been found to best delineate bacterial species. Culture classification using reference-based MALDI-TOF MS was comparable to that yielded by phylotype assignment up to the genus level. At the species level, agreement between 16S rRNA gene analysis and MALDI-TOF MS was found to be limited, potentially indicating that spectral reference databases need to be improved. We also evaluated the mass spectral similarity technique for species-level delineation which can be used independently of reference databases. We established optimal mass spectral similarity thresholds which group MALDI-TOF mass spectra of common environmental isolates analogically to phylotype- and sequence similarity-based approaches. When using a mass spectrum similarity approach, we recommend a mass range of 4–10 kDa for analysis, which is populated with stable mass signals and contains the majority of phylotype-determining peaks. We show that a cosine similarity (CS) threshold of 0.79 differentiate mass spectra analogously to 98.65% species-level delineation sequence similarity threshold, with corresponding precision and recall values of 0.70 and 0.73, respectively. When matched to species-level phylotype assignment, an optimal CS threshold of 0.92 was calculated, with associated precision and recall values of 0.83 and 0.64, respectively. Overall, our research indicates that a similarity-based MALDI-TOF MS approach can be routinely used for efficient dereplication of isolates for downstream analyses, with minimal loss of unique organisms. In addition, MALDI-TOF MS analysis has further improvement potential unlike 16S rRNA gene analysis, whose methodological limits have reached a plateau.</p

    Top OTUs detected in <sup>13</sup>C-DNA after incubation of soil with <sup>13</sup>C-biphenyl, <sup>13</sup>C-benzoate, and <sup>13</sup>C-naphthalene.

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    <p>Identification was performed by mothur-implemented RDP reference files <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040653#pone.0040653-Wang1" target="_blank">[78]</a> and the closest type strain was determined by RDP Seqmatch with the representative sequence of each OTU <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040653#pone.0040653-Cole1" target="_blank">[76]</a>. The entire dataset is in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040653#pone.0040653.s002" target="_blank">Table S1</a>.</p>a<p>Relative abundance of sequences.</p>b<p>Identification of OTU based on identification of the representative at the level of genus as determined by RDP classifier (using 50% threshold).</p>c<p>Determined by RDP Seqmatch.</p>d<p>Score represents S<sub>ab</sub> score – the number of (unique) 7-base oligomers shared between the sequence data and a given RDP sequence divided by the lowest number of unique oligos in either of the two sequences.</p>e<p>Refers to samples where the same OTU was detected.</p

    Analysis of inorganic nutrients and contaminants available in the soil.

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    <p>Results shown are averages from 5 independently measured samples (performed commercially).</p>a<p>Based on method CZ_SOP_D06_07_121.</p>b<p>Based on method US EPA 8082.</p>c<p>Based on methods EPA 8270, EPA 8131, EPA 8091.</p>d<p>Based on method US EPA 200.7.</p
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