Advanced Aspects of the Galactic Habitability

Context. Astrobiological evolution of the Milky Way (or the shape of its "astrobiological landscape") has emerged as one of the key research topics in recent years. In order to build precise, quantitative models of the Galactic habitability, we need to account for two opposing tendencies of life and intelligence in the most general context: the tendency to spread to all available ecological niches (conventionally dubbed "colonization") and the tendency to succumb to various types of existential catastrophes ("catastrophism"). These evolutionary tendencies have become objects of study in fields such as ecology, macroevolution, risk analysis, and futures studies, while a serious astrobiological treatment has been lacking so far. Aims. Our aim is to numerically investigate the dynamics of opposed processes of expansion (panspermia, colonization) and extinction (catastrophic mechanisms) of life in the Galaxy. Methods. We employ a new type of numerical simulation based on 1D probabilistic cellular automaton with very high temporal resolution, in order to study astrobiological dynamics. Results. While the largest part of the examined parameter space shows very low habitability values, as expected, the remaining part has some observationally appealing features that imply, among other things, a reduction in the amount of fine-tuning necessary for resolving the Fermi paradox. Conclusions. Advanced aspects of Galactic habitability are amenable to precision studies using massive parallel computer simulations. There are regions of parameter space corresponding to a quasi-stationary state satisfying observable constraints and possessing viable SETI targets.Comment: Language corrected version, to appear in Astronomy & astrophysic

Galactic Punctuated Equilibrium: How to Undermine Carter's Anthropic Argument in Astrobiology

We investigate a new strategy which can defeat the (in)famous Carter's "anthropic" argument against extraterrestrial life and intelligence. In contrast to those already considered by Wilson, Livio, and others, the present approach is based on relaxing hidden uniformitarian assumptions, considering instead a dynamical succession of evolutionary regimes governed by both global (Galaxy-wide) and local (planet- or planetary system-limited) regulation mechanisms. This is in accordance with recent developments in both astrophysics and evolutionary biology. Notably, our increased understanding of the nature of supernovae and gamma-ray bursts, as well as of strong coupling between the Solar System and the Galaxy on one hand, and the theories of "punctuated equilibria" of Eldredge and Gould and "macroevolutionary regimes" of Jablonski, Valentine, et al. on the other, are in full accordance with the regulation- mechanism picture. The application of this particular strategy highlights the limits of application of Carter's argument, and indicates that in the real universe its applicability conditions are not satisfied. We conclude that drawing far-reaching conclusions about the scarcity of extraterrestrial intelligence and the prospects of our efforts to detect it on the basis of this argument is unwarranted.Comment: 3 figures, 26 page

THE USE OF INTEGRATIVE MULTI-OMICS APPROACH IN CULTIVATION AND CHARACTERIZATION OF GUT BACTERIA RELATED TO MICROBIOTA-GUT-BRAIN AXIS AS A SOURCE FOR NEXT GENERATION PROBIOTICS

There has been an epidemic of various non-communicable degenerative and autoimmune diseases, strongly associated with the modern lifestyle. Among them, neurodegenerative and psychiatric disorders represent a huge burden on society. Recently, all these diseases have been associated with the gut microbiota dysbiosis. Gut microbiota-host interaction research has been greatly improved due to development of molecular high-throughput techniques based on various ‘omics’ techniques coupled with bioinformatics and data science developments. However, the mechanisms of the host–microbiota crosstalk are still poorly understood. The NextGenBiotics project proposes an innovative integrative multi-omics research strategy for deciphering the mechanism behind the cross-talk among microbiota and gut-brain-axis. The 118 novel NGPs candidates belonging to Dorea sp., Blautia sp., Bacteroides sp., Roseburia sp., Sellimonas sp., Faecalicatena sp., Phascolarctobacterium faecium, and Faecalimonas sp. were cultivated. The 25 NGPs with confirmed safe status and potential probiotic potential were screened in C. elegans model for their effects on behavioural and neuronal activity. The most prominent candidates with ability to upregulate expression of genes involved in neurotransmiting are further tested in EAE (an animal model for MS) and CUMS depression model. The specific microbiota-derived metabolites have been identified as potential neuro- and psycho-biotics. The NextGenBiotics is highly ambitious project, dedicated to pioneering work in the field of multi-omics studies related to the cultivation of novel anaerobic NGPs and the studying of their effect on MGBA. This concept enabled studying bidirectional communication between gut microbiota and brain on the functional level that will significantly contribute to the growing body data related to MGBA. The results obtained during NextGenBiotics determined the genes/metabolites and the associated mechanisms involved in health-promoting effects of NGPs in MGBA beyond stateof- the-art, broadening the scientific knowledge and opening up the possible novel therapeutic approaches in prevention and therapy of neurodegenerative and psychiatric diseases.Book of abstract: From biotechnology to human and planetary health XIII congress of microbiologists of Serbia with international participation Mikromed regio 5, ums series 24: 4th – 6th april 2024, Mona Plaza hotel, Belgrade, Serbi

Astrobiological Complexity with Probabilistic Cellular Automata

Search for extraterrestrial life and intelligence constitutes one of the major endeavors in science, but has yet been quantitatively modeled only rarely and in a cursory and superficial fashion. We argue that probabilistic cellular automata (PCA) represent the best quantitative framework for modeling astrobiological history of the Milky Way and its Galactic Habitable Zone. The relevant astrobiological parameters are to be modeled as the elements of the input probability matrix for the PCA kernel. With the underlying simplicity of the cellular automata constructs, this approach enables a quick analysis of large and ambiguous input parameters' space. We perform a simple clustering analysis of typical astrobiological histories and discuss the relevant boundary conditions of practical importance for planning and guiding actual empirical astrobiological and SETI projects. In addition to showing how the present framework is adaptable to more complex situations and updated observational databases from current and near-future space missions, we demonstrate how numerical results could offer a cautious rationale for continuation of practical SETI searches.Comment: 37 pages, 11 figures, 2 tables; added journal reference belo

EMU Detection of a Large and Low Surface Brightness Galactic SNR G288.8-6.3

We present the serendipitous detection of a new Galactic Supernova Remnant (SNR), G288.8-6.3 using data from the Australian Square Kilometre Array Pathfinder (ASKAP)-Evolutionary Map of the Universe (EMU) survey. Using multi-frequency analysis, we confirm this object as an evolved Galactic SNR at high Galactic latitude with low radio surface brightness and typical SNR spectral index of $\alpha = -0.41\pm0.12$. To determine the magnetic field strength in SNR G288.8-6.3, we present the first derivation of the equipartition formulae for SNRs with spectral indices $\alpha>-0.5$. The angular size is 1.\!^\circ 8\times 1.\!^\circ 6 (107.\!^\prime 6 \times 98.\!^\prime 4) and we estimate that its intrinsic size is $\sim40$pc which implies a distance of $\sim1.3$kpc and a position of $\sim140$pc above the Galactic plane. This is one of the largest angular size and closest Galactic SNRs. Given its low radio surface brightness, we suggest that it is about 13000 years old.Comment: Accepted for publication in The Astrophysical Journa