Biology subjects

Majumdar, S.

Publications and source records attributed to Majumdar, S..

60 records · Page 4Linked to original sources

bioRxiv2017

Multi-clonal evolution of MDR/XDR M. tuberculosis in a high prevalence setting in Papua New Guinea over three decades

An outbreak of multi-drug resistant tuberculosis has been reported on Daru Island, Papua New Guinea. The Mycobacterium tuberculosis strains driving this outbreak and the temporal accrual of drug resistance mutations have not been described. We analyzed 100 isolates using whole genome sequencing and found 95 belonged to a single modern Beijing strain cluster. Molecular dating suggested acquisition of streptomycin and isoniazid resistance in the 1960s, with virulence potentially enhanced by a mycP1 mutation. The outbreak cluster demonstrated a high degree of co-resistance between isoniazid and ethionamide (80/95; 84.2%) attributed to an inhA promoter mutation combined with inhA and ndh coding mutations. Multidrug resistance (MDR), observed in 78/95 samples, emerged with the acquisition of a typical rpoB mutation together with a compensatory rpoC mutation in the 1980s. There was independent acquisition of fluoroquinolone and aminoglycoside resistance; with evidence of local transmission of extensively-drug resistant (XDR) strains from 2009. These findings underscore the importance of whole-genome sequencing in informing an effective public health response to MDR/XDR M. tuberculosis.

microbiology↗

bioRxiv2017

Bacterial Communication And Relevance Of Quantum Theory

The recent findings confirm that bacteria communicate each other through chemical and electrical signals. Bacteria use chemical signaling molecules which are called as quorum sensing molecules(QSMs) or autoinducers. Moreover, the ion channels in bacteria conduct a long-range electrical signaling within biofilm communities through propagated waves of potassium ions and biofilms attracts other bacterial species too. Both communication process are used by bacteria to make their own survival strategies. In this article, we model this bacterial communication mechanism by complex Ginzburg- Landau equation and discuss the formation of patterns depending on kinematic viscosity associated with internal noise. Again, the potassium wave propagation is described by the non-linear Schrodinger equation in a dissipative environment. By adding perturbation to non-linear Schrodinger equation one arrives at Complex Ginzburg-Landau equation. In this paper we emphasize that at the cellular level(bacteria) we use Complex Ginzburg - Landau equation as a perturbed Nonlinear Schrodinger equation to understand the bacterial communication as well as pattern formation in Biofilms for certain range of kinematic viscosity which can be tested in laboratory experiment. Here, the perturbation is due to the existence of non thermal fluctuations associated to the finite size of the bacteria. It sheds new light on the relevance of quantum formalism in understanding the cell to cell communication.

biophysics↗

bioRxiv2017

The role of coherence in bacterial communication

Bacteria within biofilms can coordinate their behavior through distinct from of communication mechanism1. The well-established cell - to - cell signaling process in bacteria is known as quorum sensing through chemical signaling molecules2-5. Recently, another cell- to - cell communication process based on ion channel mediated electrical signaling6 has also been observed. In this article, we propose a novel approach to explain the role of coherence and phase synchronization in the cell - to - cell bacterial communication. The observable long - range coherent electrical signaling is species independent and it is caused by membrane - potential - dependent modulation of tumbling frequency7-9. Moreover, noise can play a constructive role in enhancing the synchronization of chaotic bacterial communication systems and noise associated with the opening and closing the gate of ion channel induce small kinetic viscosity that make a wave-like pattern in concentration profile of quorum sensing.

biophysics↗

bioRxiv2017

Convection - Diffusion model of talking bacteria

Quorum sensing is cell to cell communication process through chemical signals formally known as autoinducers. When the concentration of quorum sensing molecules reached threshold concentration bacteria are in active state or quorum state. In this article, we propose a mathematical model of quorum sensing systems and study this biological system numerically. Moreover, we compare the different numerical scheme with the batch culture of P.aeruginosa. We observed a negative diffusion coefficient which plays an important role in the quorum sensing mechanism.

biophysics↗

bioRxiv2017

Bacterial Conversations and Pattern Formation

It has long been recognized that certain bacterial groups exhibit cooperative behavioral patterns. Bacteria accomplish such communication via exchange of extracellular signaling molecules called pheromones(autoinducer or quorum sensing molecules). As the bacterial culture grows, signal molecules are released into extracellular milieu accumulate, changing water fluidity. Under such threshold conditions swimming bacterial suspensions impose a coordinated water movement on a length scale of the order 10 to 100 micrometers compared with a bacterial size of the order of 3 micrometers.Here, we investigate the non-local hydrodynamics of the quorum state and pattern formation using forced Burgers equation with Kwak transformation. Such approach resulted in the conversion of the Burgers equation paradigm into a reaction-diffusion system. The examination of the dynamics of the quorum sensing system, both analytically as well as numerically result in similar long-time dynamical behaviour.

biophysics↗

bioRxiv2016

Kinetics of multi-substrate in Beauveria bassiana JUCHE22

The pattern of the biomass specific growth rate is an important focus for many biotechnological applications. Several control strategies have been employed to describe version of the exponential phase of growth of microorganisms. Moreover, in some bioprocesses there is more than one feeding substrates required for the specific growth. Hence, the problem of estimating multiple substrate consumption rates together with the specific growth rate of the microorganism becomes applicable. In this context, the dynamics behaviour of fed-batch process with multiple substrates (dextrose and peptone) and kinetics is further investigated in Beauveria bassiana. Different features of the proposed model are assessed by numerical simulation in different scenarios.

microbiology↗