of interest according to some common patterns and determining the degree of damage to a part of the brain is
traditionally carried out using convolution neural networks.
The work is supported by the Ministry of Science and Education of Russian Federation, project number FSSF-2020-
0018.
Comparison of genomes of different species of coronaviruses using spectra of periodicities
L. A. Miroshnichenko1, V. D. Gusev1, Yu. P. Dzhioev 2
1Sobolev institute of mathematics SB RAS
2Irkutsk State Medical University
Email: luba@math.nsc.ru
DOI 10.24412/cl-35065-2021-1-02-52
The periodicities presented in the genomes of related organisms play an important role in classification.
The complete spectra of periodicities identified by the authors in genomes are quite compact and visible even
for relatively long genomes, which makes them a convenient tool for differentiating closely related objects.
Genomes of SARS, MERS and SARS-COV-2 coronaviruses are being considered
The first confirmed case of Middle East respiratory syndrome-related coronavirus (MERS-CoV) was report-
ed in Jeddah, Saudi Arabia in April 2012. By July 2015, MERS-CoV cases had been reported in over 21 countries,
in Europe, North America and Asia as well as the Middle East. Severe acute respiratory syndrome coronavirus
(SARS-CoV or SARS-CoV-1) caused the 2002�2004 SARS outbreak. Coronavirus disease 2019 (COVID-19) is a
contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first known
case was identified in Wuhan, China, in December 2019. The disease has since spread worldwide, leading to an
ongoing pandemic.
This work was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (pro-
ject no. 0314-2019-0015)
A computational model of the cereal leaves hydraulics
S. V. Nikolaev1,2, U. S. Zubairova1,3
1Institute of Cytology and Genetics SB RAS, Russia
2K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow
3Novosibirsk State University
Email: zubairovaus@gmail.com
DOI 10.24412/cl-35065-2021-1-02-53
Environmental factors and plant architectonics significantly determine its water regime, namely, the water
content and its movement through the tissues forced by the difference in water potentials, turgor pressure in
cells, etc. In turn, the cumulative water regime affects the functioning and growth of cells, photosynthesis,
and, as a result, the plant's growth. The leaf contributes to the formation of the water regime and characteriz-
es the contour of the plant's adaptive system. Nevertheless, the data on the contribution of leaves to the total
resistance to water transport in the plant and the structure of the hydraulic resistance of the leaf itself is still
contradictory.
This paper presents the formulation and justification of the monocots leaf hydraulics model based on Dar-
cy's law. The model was tested in computational experiments in the Comsol 4.3b package on idealized geo-
metric models of leaf blades. Simulations showed the dependence of water potential distribution in xylem ves-
sels and leaf mesophyll on the permeability of these tissues and on microclimatic parameters around the leaf.
The adequacy of the model parameters selected as a result of testing is discussed.
This work was supported by Russian Science Foundation (grant No 19-74-10037).
Modeling the influence of the availability of NAD+ for the SIRT1 enzyme on the interaction of the circadian
oscillator with the inflammatory response system to bacterial infection
N. L. Podkolodnyy1,2, N. N. Tverdokhleb1, O. A. Podkolodnaya1
1The Federal Research Center Institute of Cytology and Genetics SB RAS
2Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Email: pnl@bionet.nsc.ru
DOI 10.24412/cl-35065-2021-1-02-54
A mathematical model of the influence of the availability of NAD + for the SIRT1 enzyme on the interac-
tion of the circadian oscillator with the inflammatory response system to bacterial infection has been devel-
oped and verified on experimental data. To verify the model, we used data on the daily dynamics of gene ex-
pression in the liver of wild-type mice and with knockouts of circadian genes, information on biologically justi-
fied intervals of parameter values, etc. Sensitivity analysis for the parameters of the oscillation period and
the amplitude of the change in the main variables of the model made it possible to identify the important pa-
rameters.
Modeling showed a pronounced circadian character of changes in Sirt1 and NFkB activity, and made it
possible to assess age-related changes in the functioning of the circadian oscillator, the NAD + consuming en-
zymes, and the level of NF-kB activation induced by LPS.
Thus, the developed model makes it possible to predict diurnal and age-related changes in the activity of
the inflammatory response to bacterial infection through NF-kB, and the results of modeling serve as a justifi-
cation for a chronotherapeutic approach in the treatment of inflammatory diseases.
This work was supported by the grants No 0259-2021-0009 and �0315-2021-0005 from the Russian Government
Budget.
Destabilizing selection against under-expression of human immunostimulatory and immunosuppressive
genes both provokes and prevents rheumatoid arthritis, correspondingly, as a self-domestication syndrome
M. P. Ponomarenko1, E. A. Oshchepkova1, I. V. Chadaeva1, D. Yu. Oshchepkov1, V. A. Kozlov2
1Institute of Cytology and Genetics SB RAS
2Research Institute of Fundamental and Clinical Immunology SB RAS
Email: pon@bionet.nsc.ru
DOI 10.24412/cl-35065-2021-1-02-55
Using SNP_TATA_Comparator [1], we studied of single-nucleotide polymorphisms in promoters of human
rheumatoid arthritis (RA)-related genes and found destabilizing selection of immunostimulatory and immuno-
suppressive genes provoking and preventing RA, respectively, , as a self-domestication syndrome. Among
known differentially expressed genes (DEGs) of pet vs wild animals, amount of DEGs in pets corresponding to
worsened RA in humans exceeds those in their wild congeners (10 vs 3), while less DEGs in pets relate relieved
RA in humans than those in Wild (1 vs 8). This is reliable according to binomial distribution, .2 and Fisher�s ex-
act tests.
This work was supported by the Russian Government Budget (grant #0259-2021-0009).