ORCID Profile
0000-0002-5749-3665
Current Organisations
Max Planck Institute for Evolutionary Biology
,
Center for Computational and Theoretical Biology
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Publisher: Elsevier BV
Date: 12-2015
DOI: 10.1016/J.JTBI.2015.09.027
Abstract: The evolution of cooperation in group-structured populations has received much attention, but little is known about the effects of different modes of migration of in iduals between groups. Here, we have incorporated four different modes of migration that differ in the degree of coordination among the in iduals. For each mode of migration, we identify the set of multiplayer games in which the cooperative strategy has higher fixation probability than defection. The comparison shows that the set of games under which cooperation may evolve generally expands depending upon the degree of coordination among the migrating in iduals. Weak altruism can evolve under all modes of in idual migration, provided that the benefit to cost ratio is high enough. Strong altruism, however, evolves only if the mode of migration involves coordination of in idual actions. Depending upon the migration frequency and degree of coordination among in iduals, conditions that allow selection to work at the level of groups can be established.
Publisher: American Society for Microbiology
Date: 30-06-2020
DOI: 10.1128/MSYSTEMS.00187-20
Abstract: The power of synthetic biology is immense. Will it, however, be able to withstand the environmental pressures once released in the wild. As new technologies aim to do precisely the same, we use a much simpler model to test mathematically the effect of a changing environment on a synthetic biological system. We assume that the system is successful if it maintains proportions close to what we observe in the laboratory. Extreme deviations from the expected equilibrium are possible as the environment changes. Our study provides the conditions and the designer specifications which may need to be incorporated in the synthetic systems if we want such “ecoblocs” to survive in the wild.
Publisher: MDPI AG
Date: 28-01-2019
DOI: 10.3390/LIFE9010015
Abstract: Ecosystems are complex networks of interacting in iduals co-evolving with their environment. As such, changes to an interaction can influence the whole ecosystem. However, to predict the outcome of these changes, considerable understanding of processes driving the system is required. Synthetic biology provides powerful tools to aid this understanding, but these developments also allow us to change specific interactions. Of particular interest is the ecological importance of mutualism, a subset of cooperative interactions. Mutualism occurs when in iduals of different species provide a reciprocal fitness benefit. We review available experimental techniques of synthetic biology focused on engineered synthetic mutualistic systems. Components of these systems have defined interactions that can be altered to model naturally occurring relationships. Integrations between experimental systems and theoretical models, each informing the use or development of the other, allow predictions to be made about the nature of complex relationships. The predictions range from stability of microbial communities in extreme environments to the collapse of ecosystems due to dangerous levels of human intervention. With such caveats, we evaluate the promise of synthetic biology from the perspective of ethics and laws regarding biological alterations, whether on Earth or beyond. Just because we are able to change something, should we?
Publisher: American Society for Microbiology
Date: 23-02-2023
DOI: 10.1128/MSYSTEMS.00929-22
Abstract: We are facing unprecedented disruption and collapse of ecosystems across the globe. To have any hope of mitigating this phenomenon, a much greater understanding of ecosystem dynamics is required.
Publisher: Cold Spring Harbor Laboratory
Date: 15-05-2022
DOI: 10.1101/2022.05.15.491981
Abstract: From protocellular to societal, networks of living systems are complex and multi-scale. The assembly of these intricate interdependencies, under ecological pressures, can be nearly impossible to understand using pairwise methods. We develop a mathematical and computational model based on a four-strain Saccharomyces cerevisiae synthetic inter-dependent system. Our system leverages transiently structured ecologies for achieving community cohesion. We show how ecological interventions could reverse or slow the extinction rate of a cohesive community. An interconnected system first needs to persist long enough to be a subject of natural selection. Our emulation of Darwin’s warm little ponds’ with an ecology governed by transient compartmentalisation provides the necessary persistence. Our results find utility across scales of organisation, stressing the importance of cyclic processes in major evolutionary transitions engineering of synthetic microbial consortia and conservation biology.
No related grants have been discovered for Chaitanya Gokhale.