Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Black tea: Phytochemicals, cancer chemoprevention, and clinical studies"    Next AbstractCritical thresholds of 1-Octen-3-ol shape inter-species Aspergillus interactions modulating the growth and secondary metabolism »

J Microbiol Biotechnol


Title:Intraspecies Volatile Interactions Affect Growth Rates and Exometabolomes in Aspergillus oryzae KCCM 60345
Author(s):Singh D; Lee CH;
Address:"Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea"
Journal Title:J Microbiol Biotechnol
Year:2018
Volume:28
Issue:2
Page Number:199 - 209
DOI: 10.4014/jmb.1711.11005
ISSN/ISBN:1738-8872 (Electronic) 1017-7825 (Linking)
Abstract:"Volatile organic compounds (VOCs) are increasingly been recognized as the chemical mediators of mold interactions, shaping their community dynamics, growth, and metabolism. Herein, we selectively examined the time-correlated (0 D-11 D, where D = incubation days) effects of intraspecies VOC-mediated interactions (VMI) on Aspergillus oryzae KCCM 60345 (S1), following co-cultivation with partner strain A. oryzae KACC 44967 (S2), in a specially designed twin plate assembly. The comparative evaluation of S1(VMI) (S1 subjected to VMI with S2) and its control (S1(Con)) showed a notable disparity in their radial growth (S1(VMI) < S1(Con)) at 5 D, protease activity (S1(VMI) > S1(Con)) at 3-5 D, amylase activity (S1(VMI) < S1(Con)) at 3-5 D, and antioxidant levels (S1(VMI) > S1(Con)) at 3 D. Furthermore, we observed a distinct clustering pattern for gas chromatography-time of flight-mass spectrometry datasets from 5 D extracts of S1(VMI) and S1(Con) in principle component analysis (PC1: 30.85%; PC2: 10.31%) and partial least squares discriminant analysis (PLS-DA) (PLS1: 30.77; PLS2: 10.15%). Overall, 43 significantly discriminant metabolites were determined for engendering the metabolic variance based on the PLS-DA model (VIP > 0.7, p < 0.05). In general, a marked disparity in the relative abundance of amino acids (S1(VMI) > S1(Con)) at 5 D, organic acids (S1(VMI) > S1(Con)) at 5 D, and kojic acid (S1(VMI) < S1(Con)) at 5-7 D were observed. Examining the headspace VOCs shared between S1 and S2 in the twin plate for 5 D incubated samples, we observed the relatively higher abundance of C-8 VOCs (1-octen-3-ol, (5Z)-octa-1,5-dien-3-ol, 3-octanone, 1-octen-3-ol acetate) having known semiochemical functions. The present study potentially illuminates the effects of VMI on commercially important A. oryzae's growth and biochemical phenotypes with subtle details of altered metabolomes"
Keywords:Amino Acids/metabolism Amylases/metabolism Aspergillus oryzae/*growth & development/*metabolism Coculture Techniques Culture Media/chemistry Gas Chromatography-Mass Spectrometry *Metabolome Organic Chemicals/analysis/metabolism Peptide Hydrolases/metaboli;
Notes:"MedlineSingh, Digar Lee, Choong Hwan eng Korea (South) 2017/11/16 J Microbiol Biotechnol. 2018 Feb 28; 28(2):199-209. doi: 10.4014/jmb.1711.11005"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 29-06-2024