2014
DOI: 10.1038/srep06537
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A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria

Abstract: Marine bacteria are the most widely distributed organisms in the ocean environment and produce a wide variety of secondary metabolites. However, traditional screening for bioactive natural compounds is greatly hindered by the lack of a systematic way of cataloguing the chemical profiles of bacterial strains found in nature. Here we present a chemical fingerprint database of marine bacteria based on their secondary metabolite profiles, acquired by high-resolution LC-MS. Till now, 1,430 bacterial strains spannin… Show more

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Cited by 19 publications
(14 citation statements)
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“…We aimed to reduce complexity in chemical space by using an automated dereplication pipeline to match MS/MS spectra across samples, find Chemotaxonomy of root endophytic fungi 1259 patterns in their occurrence, and identify known compounds via database searches. The same strategy has been applied to screen large microbial culture collections (Lu et al, 2014;Floros et al, 2016;Cr€ usemann et al, 2017) but, to our knowledge, this is the first time they are applied to fungi.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We aimed to reduce complexity in chemical space by using an automated dereplication pipeline to match MS/MS spectra across samples, find Chemotaxonomy of root endophytic fungi 1259 patterns in their occurrence, and identify known compounds via database searches. The same strategy has been applied to screen large microbial culture collections (Lu et al, 2014;Floros et al, 2016;Cr€ usemann et al, 2017) but, to our knowledge, this is the first time they are applied to fungi.…”
Section: Discussionmentioning
confidence: 99%
“…The contribution to overall data variation of each component was assessed using variance partitioning (Legendre and Legendre, 2012), by sequentially removing each component from the full CAP model to record changes in the overall variance explained. In order to evaluate how well the calculated distances represent different taxonomic categories, we created subsets of the distance matrix to include only pairwise comparisons between isolates in the same taxon (Lu et al, 2014). We then compared the distribution of distances at the levels of OTU, genus, family, order, or taxonomic categories above order level.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…The peptides (VP_1369) were loaded with buffer A (5% acetonitrile, 0.1% formic acid) and eluted with a 0–40% gradient of buffer B (95% acetonitrile, 0.1% formic acid) at a flow rate of 300 nl/min for 90 min. Liquid chromatography coupled to tandem mass spectrometry (LC/MS/MS) was used to identify the components of extracellular protein complex ( Seidler et al, 2010 ; Lu et al, 2014 ). MS data were acquired using a data-dependent top 10 method dynamically choosing the most abundant precursor ions from the survey scan.…”
Section: Methodsmentioning
confidence: 99%
“…Genome mining in recent years has accelerated the bio-chemical workflow, and the prediction of secondary metabolites, biosynthetic gene clusters, and pathways have provided a rationale for targeted isolation of AMPs from complex protein mixtures ( Harvey et al, 2015 ; Collins et al, 2017 ; Li et al, 2020 ). Furthermore, the ability of mass spectrometry to identify and quantify thousands of proteins from complex samples have positively affected the discovery of novel antimicrobial agents ( Dancík et al, 1999 ; Aebersold and Mann, 2003 ; Junqueira et al, 2008 ; Cimermancic et al, 2014 ; Lu et al, 2014 ; Perkins et al, 1999 ).…”
Section: Introductionmentioning
confidence: 99%
“…The standard culture protocol was used to grow the bacterial strains (Lu et al ). Briefly, each strain was fermented in a 250 mL flask in GYPT culture medium (glucose: 10 g/L; yeast extract: 2 g/L, #LP0021, OXOID; tryptone: 2.5 g/L, #LP0042, OXOID; peptone: 2.5 g/L, #LP0037, OXOID; sea salt: 35 g/L, HAIN).…”
Section: Methodsmentioning
confidence: 99%