Document of bibliographic reference 345603

BibliographicReference record

Type

Bibliographic resource

Type of document

Journal article

BibLvlCode

AS

Title

Network analysis based on unique spectral features enables an efficient selection of genomically diverse operational isolation units

Abstract

Culturomics-based bacterial diversity studies benefit from the implementation of MALDI-TOF MS to remove genomically redundant isolates from isolate collections. We previously introduced SPeDE, a novel tool designed to dereplicate spectral datasets at an infraspecific level into operational isolation units (OIUs) based on unique spectral features. However, biological and technical variation may result in methodology-induced differences in MALDI-TOF mass spectra and hence provoke the detection of genomically redundant OIUs. In the present study, we used three datasets to analyze to which extent hierarchical clustering and network analysis allowed to eliminate redundant OIUs obtained through biological and technical sample variation and to describe the diversity within a set of spectra obtained from 134 unknown soil isolates. Overall, network analysis based on unique spectral features in MALDI-TOF mass spectra enabled a superior selection of genomically diverse OIUs compared to hierarchical clustering analysis and provided a better understanding of the inter-OIU relationships.

WebOfScience code

https://www.webofscience.com/wos/woscc/full-record/WOS:000622812900001

Bibliographic citation

Dumolin, C.; Peeters, C.; De Canck, E.; Boon, N.; Vandamme, P. (2021). Network analysis based on unique spectral features enables an efficient selection of genomically diverse operational isolation units. Microorganisms 9(2): 416. https://dx.doi.org/10.3390/microorganisms9020416

Is peer reviewed

true

Access rights

open access

Is accessible for free

true