Mining the effects of a Bacillus sp. olive tree endophyte-derived lipopeptide extract on the metabolism of Colletotrichum acutatum applying GC/MS and 1H NMR metabolomics

2021 ◽  
Author(s):  
E.A. Papadopoulou ◽  
A. Angelis ◽  
L. Antoniadi ◽  
K.A. Aliferis ◽  
A.L. Skaltsounis
Metabolites ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 833
Author(s):  
Evgenia-Anna Papadopoulou ◽  
Apostolis Angelis ◽  
Lemonia Antoniadi ◽  
Konstantinos A. Aliferis ◽  
Alexios-Leandros Skaltsounis

Endophytic microorganisms (EMs) have recently attracted interest for applications in plant protection, mainly due to their bioactive compound-producing capacity. Therefore, we underwent the task of isolating olive tree EMs and investigating their bioactivity against the devastating pathogen Colletotrichum acutatum. Several EMs were isolated; however, the Bacillus sp. PTA13 isolate exhibited the highest toxicity to the phytopathogen. Bacteria of the genus Bacillus exhibit superior bioactive metabolite-producing capacity, with the lipopeptides (LPs) of surfactin, iturin, and fengycin groups being the most studied. A total LP extract and several fractions were obtained, and their bioactivity was assessed against C. acutatum strains. LPs of the major surfactin, iturin, and fengycin groups and the minor gageotetrin and bacilotetrin groups were annotated. The results confirmed the bioactivity of the major LPs, with fengycins being the most fungitoxic. Interestingly, the minor LP fraction exhibited selective toxicity to the fungicide-resistant C. acutatum isolate, an observation that highlights the significance of our approach to comprehensively mine the total LP extract. This work represents a proof of concept of the exploitation of EMs in customized olive tree plant protection and aligns well with strategies that focus on the sustainability and safety of food production via the development of next-generation plant protection products.


Author(s):  
Lingyu Ruan ◽  
Lei Jiang ◽  
Wenlong Zhao ◽  
Huihui Meng ◽  
Qi Zheng ◽  
...  
Keyword(s):  
1H Nmr ◽  

2018 ◽  
Vol 17 (11) ◽  
pp. 3780-3790 ◽  
Author(s):  
James R. Anderson ◽  
Susama Chokesuwattanaskul ◽  
Marie M. Phelan ◽  
Tim J. M. Welting ◽  
Lu-Yun Lian ◽  
...  

Metabolites ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 22 ◽  
Author(s):  
Masoumeh Alinaghi ◽  
Duc Ninh Nguyen ◽  
Per Torp Sangild ◽  
Hanne Christine Bertram

Measurement of intestinal permeability (IP) is often used in the examination of inflammatory gastrointestinal disorders. IP can be assessed by measurement of urinary recovery of ingested non-metabolizable lactulose (L) and mannitol (M). The present study aimed to examine how measurements of IP can be integrated in a NMR-based metabolomics approach for a simultaneous quantification of L/M ratio and biomarker exploration. For this purpose, plasma and urine samples were collected from five-day-old preterm piglets (n = 20) with gastrointestinal disorders (subjected to intra-amniotic lipopolysaccharide (LPS, 1 mg/fetus)) after they had been administrated a 5% lactulose and 5% mannitol solution (15 mL/kg). The collected plasma and urine samples were analyzed by 1H NMR-based metabolomics. Urine L/M ratio measured by 1H NMR spectroscopy showed high correlation with the standard measurement of the urinary recoveries by enzymatic assays (r = 0.93, p < 0.05). Partial least squares (PLS) regressions and correlation analyses between L/M ratio and NMR metabolomics data revealed that L/M ratio was positively correlated with plasma lactate, acetate and succinate levels and negatively correlated with urinary hippuric acid and glycine. In conclusion, the present study demonstrated that NMR metabolomics enables simultaneous IP testing and discovery of biomarkers associated with an impaired intestinal permeability.


2020 ◽  
Vol 81 (5) ◽  
pp. 743-752
Author(s):  
Christiaan De Wet van Zyl ◽  
Du Toit Loots ◽  
Regan Solomons ◽  
Mari van Reenen ◽  
Shayne Mason

Metabolomics ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 199-209 ◽  
Author(s):  
E. S. Rosenblum ◽  
M. R. Viant ◽  
B. M. Braid ◽  
J. D. Moore ◽  
C. S. Friedman ◽  
...  

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