Non-self-recognition of microorganisms partly relies on the perception of microbe-associated molecular patterns (MAMPs) and leads to the activation of an innate immune response. Bacillus subtilis produces three main families of cyclic lipopeptides (LPs), namely surfactins, iturins and fengycins. Although LPs are involved in induced systemic resistance (ISR) activation, little is known about defence responses induced by these molecules and their involvement in local resistance to fungi. Here, we showed that purified surfactin, mycosubtilin (iturin family) and plipastatin (fengycin family) are perceived by grapevine plant cells. Although surfactin and mycosubtilin stimulated grapevine innate immune responses, they differentially activated early signalling pathways and defence gene expression. By contrast, plipastatin perception by grapevine cells only resulted in early signalling activation. Gene expression analysis suggested that mycosubtilin activated salicylic acid (SA) and jasmonic acid (JA) signalling pathways, whereas surfactin mainly induced an SA-regulated response. Although mycosubtilin and plipastatin displayed direct antifungal activity, only surfactin and mycosubtilin treatments resulted in a local long-lasting enhanced tolerance to the necrotrophic fungus Botrytis cinerea in grapevine leaves. Moreover, challenge with specific strains overproducing surfactin and mycosubtilin led to a slightly enhanced stimulation of the defence response compared with the LP-non-producing strain of B. subtilis. Altogether, our results provide the first comprehensive view of the involvement of LPs from B. subtilis in grapevine plant defence and local resistance against the necrotrophic pathogen Bo. cinerea. Moreover, this work is the first to highlight the ability of mycosubtilin to trigger an immune response in plants.
To compensate for their amino acid auxotrophy, lactobacilli have developed the ability to hydrolyze proteins present in their environment. This proteolytic activity not only generates the free amino acids needed by the bacteria, but also a large variety of peptides, some of which are endowed with biological activities. These so-called “bioactive peptides” (BAPs) are interesting from a nutrition and healthcare perspective. The use of lactic acid bacteria (LAB) such as lactobacilli is an effective strategy for production and valorization of new BAPs. The proteolytic activity of lactobacilli is exerted in a strain- and species-dependent manner: each species exhibits different proteinase content, leading to a large variety of proteolytic activities. This underlines the high potential of Lactobacillus strains to produce novel hydrolysates and BAPs of major interest. This review aims at discussing the potential of different Lactobacillus species to release BAPs from fermentation media and processes. Strategies used for peptide production are presented. Additionally, we propose a methodology to select the most promising Lactobacillus strains as sources of BAPs. This methodology combines conventional approaches and in silico analyses.
A Bacillus subtilis mutant strain overexpressing surfactin biosynthetic genes was previously constructed. In order to further increase the production of this biosurfactant, our hypothesis is that the surfactin precursors, especially leucine, must be overproduced. We present a three step approach for leucine overproduction directed by methods from computational biology. Firstly, we develop a new algorithm for gene knockout prediction based on abstract interpretation, which applies to a recent modeling language for reaction networks with partial kinetic information. Secondly, we model the leucine metabolic pathway as a reaction network in this language, and apply the knockout prediction algorithm with the target of leucine overproduction. Out of the 21 reactions corresponding to potential gene knockouts, the prediction algorithm selects 12 reactions. Six knockouts were introduced in B. subtilis 168 derivatives strains to verify their effects on surfactin production. For all generated mutants, the specific surfactin production is increased from 1.6-to 20.9-fold during the exponential growth phase, depending on the medium composition. These results show the effectiveness of the knockout prediction approach based on formal models for metabolic reaction networks with partial kinetic information, and confirms our hypothesis that precursors supply is one of the main parameters to optimize surfactin overproduction. Keywords: Abstract interpretation · Bacillus subtilis · Knockout prediction · Modeling language · SurfactinCorresponding author: Dr. François Coutte, Research Institute for Food and Biotechnology -Charles Viollette, Polytech-Lille, Université de Lille, Sciences et Technologies, 59655 Villeneuve d'Ascq, France. E-mail: francois.coutte@polytech-lille.fr Abbreviations: Acyl-CoA, acyl coenzyme A; Akb, L-2-amino-acetoacetate; BCAA, branched chain amino acid; Glu, glutamate; Gtp, guanosine triphosphate; Ile, isoleucine; Ket a , 2-keto-3-methylvalerate;Ket b , 2-keto-isovalerate; Ket c , 2-keto-isocaproate; Leu, leucine; NRPS, nonribosomal peptide synthetase; OxoGlu, oxoglutarate; P Ilv-Leu , ilv-leu operon promoter; Pyr, pyruvate; Thr, threonine; Val, valine; XML, eXtensible Markup Language; XSLT, eXtensible Stylesheet Language Transformations Biotechnology JournalSupporting information available online * These authors contributed equally to this work. Biotechnol. J. 2015Biotechnol. J. , 10, 1216Biotechnol. J. -1234 surfactin is composed of a ring of seven amino acid residues connected to a β-hydroxylated fatty acid chain of different length and isomery [1,2]. The peptide moiety contains four leucines (Fig. 1). Genetic engineering of B. subtilis has already been made in order to increase the lipopeptide production. In previous work [3], the overproduction of surfactin was obtained by replacing the native promoter of the surfactin operon (srfA) by a constitutive one and disrupted the plipastatin operon (ppsA) to save the precursor availability. The same approach was recently developed for the mycosubtilin producti...
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