Detection of!Diverse N-Acyl Homoserine Lactone Signalling Molecules Among Bacteria Associated with!Rice Rhizosphere
Title | Detection of!Diverse N-Acyl Homoserine Lactone Signalling Molecules Among Bacteria Associated with!Rice Rhizosphere |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Viswanath G., Jegan S., Prabavathy V.R. |
Journal | Current Microbiology |
Date Published | 12/09/2020 |
Type of Article | Journal |
Keywords | Homoserine Lactone, Molecules, N-Acyl, Rice Rhizosphere |
Abstract | Bacterial communities communicate, regulate and coordinate their cooperative activities and physiological process by releasing, sensing and responding to small diffusible signal molecules such as acyl homoserine lactones (AHLs), auto-inducing oligo-peptides (AIPs) and autoinducer-2, a process referred to as Quorum sensing (QS). The QS mediated communication in rhizosphere associated bacterial communities significantly influence traits governing plant–microbe interactions. This study aimed to identify AHL-mediated QS signals in bacterial communities associated with rice rhizosphere using two AHL biosensors reporter strains Chromobacterium violaceum CV026 and Agrobacterium tumefaciens NTL4 (pZLR4). Approximately 375 bacterial isolates isolated from rice rhizosphere and screened using both the biosensors, detected 49 (13%) AHL"positive isolates. The BOX-Polymerase Chain reaction (BOX-PCR) fingerprinting profiles of the 49 AHL positive isolates represented 11 distinct cluster groups. Subsequent 16S rRNA gene sequence analysis identified 11 different species affiliated to two different phyla; predominantly $-proteobacteria, representing 5 genera and 1 genus in %-proteobacteria. Thin-layer chromatography (TLC) analysis detected diverse AHL profiles among the 11 AHL positive isolates with both substituted and unsubstituted acyl side chains of C4, C6 and C8 carbon. Further, AHL production in Acinetobacter lactucae, Aeromonas popoffii, Serratia oryzae, and Rhizobium wuzhouense is being reported for the first time. Detection of diverse |