Prof. Dr. Maxim Y. Sutula
Plant Genetic Engineering Laboratory, National Center for Biotechnology, Nur-Sultan, Astana, Kazakhstan
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 December 2016 in Plant Physiology and Biochemistry
Journal Article
TYTimur M. Yergaliyev
Timur M. YergaliyevZNZhadyrassyn Nurbekova
Zhadyrassyn Nurbekova
GMGulzhamal Mukiyanova
Gulzhamal MukiyanovaAAAlua Akbassova
Alua Akbassova
Maxim Y. SutulaRORustem T. Omarov
Rustem T. Omarov +5
Journal Article
AMAlmasbek Maulit
Almasbek MaulitANAliya Nugumanova
Aliya NugumanovaYBYerzhan Baiburin
Yerzhan BaiburinYBYerzhan Baiburin
Yerzhan BaiburinMaxim Y. SutulaThis study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4). The agricultural land, encompassing 27 hectares and cultivated with wheat, barley, and soybean, was subjected to five aerial multispectral photography sessions throughout the growing season. This facilitated thorough monitoring of the most important phenological stages of crop development in the experimental design, which consisted of 27 plots, each covering one hectare. The collected imagery underwent enhancement and expansion, integrating a sixth band that embodies the normalized difference vegetation index (NDVI) values in conjunction with the original five multispectral bands (Blue, Green, Red, Red Edge, and Near Infrared Red). This amplification enables a more effective evaluation of vegetation health and growth, rendering the enriched dataset a valuable resource for the progression and validation of crop monitoring and yield prediction models, as well as for the exploration of precision agriculture methodologies.
Journal Article
Maxim Y. SutulaAKAyan Kakanay
Ayan KakanayTDTussipkan Dilnur
Tussipkan DilnurSDSamat Dzhumanov
Samat Dzhumanov
Shuga ManabayevaIn Kazakhstan, the genus Tulipa is represented by 35 species, 18 of which are listed in the Red Data Book of Kazakhstan and protected by the state. Recent studies of tulip specimens from regions bordering Kazakhstan emphasize the significance of species inventory and report the discovery of several hybrids. In this study, eight tulip species were identified based on morphological characteristics and using DNA barcoding methods. Molecular genetic markers, including nrDNA (ITS) and cpDNA markers (rbcL, matK), of the studied species were sequenced and analyzed using the Bayesian inference and maximum likelihood phylogenetic analysis methods. Our work demonstrates that DNA barcodes based on the ITS, rbcL, and matK marker regions have successful practical applicability, with ITS being the most informative at the intragenic level. However, for distinguishing closely related taxa, the most effective approach would be to use a combined dataset of sequences from multiple DNA markers. The results showed discrepancies in the placement of several taxa (T. kaufmanniana, T. patens), likely due to introgression and natural spontaneous hybridization. The molecular phylogenetic analysis suggests the existence of a previously undescribed hybrid between T. patens and T. alberti. Further detailed population studies are needed to validate this hypothesis.
Journal Article
Maxim Y. SutulaTDTussipkan Dilnur
Tussipkan DilnurBKBalnur Kali
Balnur KaliShuga ManabayevaEnvironmental stresses, such as drought, salinity, and pathogen attacks, significantly affect potato growth, development, and yield by disrupting key physiological and biochemical processes. Plant responses to these stresses are mediated by changes in gene expression, transcriptional regulation, and the activity of various functional proteins, all of which contribute to the molecular mechanisms of stress tolerance. Genome editing using the CRISPR/Cas9 system has been effectively used to enhance the resistance of potato to environmental stresses and to improve its nutritional value. This article provides a comprehensive review of recent studies retrieved from academic databases focusing on the effects of various environmental stressors on potato growth, yield, and postharvest storage. It also examines the influence of these stresses on the production of secondary metabolites and their associated molecular pathways. Finally, the review highlights advancements in the application of CRISPR/Cas-based genome editing technologies between 2021 and 2025 to improve stress tolerance and nutritional traits in potato plants.
15 October 2017 in Russian Journal of Plant Physiology
Journal Article
Maxim Y. SutulaAAA. Zh. Akbassova
A. Zh. Akbassova
TYT. M. Yergaliev
T. M. Yergaliev
ZNZh. A. Nurbekova
Zh. A. Nurbekova
GMGulzhamal Mukiyanova
Gulzhamal MukiyanovaROR. T. Omarov
R. T. OmarovRNA interference (RNAi) is one of the key defense mechanisms directed against virus infections in plants and other organisms. In this case in plants infected with viruses, short interfering RNAs (siRNAs) are formed from two-chain replicated forms of virus molecules of RNA. These siRNAs program one of the RNAi basic components, RNA-induced complex of genes silencing (RISC, RNA induced silencing complex) associated with sequence-specific removing virus RNA. Virus protein P19 is a suppressor of RNAi and is capable of trapping the siRNAs being formed before their binding with RISC. Here, it was shown that preliminary entering leaves of plants Nicotiana benthamiana Domin (before virus infecting) of siRNAs eluted from the complex P19/siRNA from the infected plant lowers development of infection symptoms induced by tomato bushy stunt virus (TBSV) in inoculated plants. Exogenous addition of suppressor-associated siRNAs to plants leads to not only lowering virus accumulation but also to survival of infected plants. Thus, it has been established that preliminary addition of virus siRNAs elevates plant tolerance to the virus infection by means of early programming RISC and activation of the defense action of RNAi.
1 January 2023 in Plant Disease
Journal Article
Maxim Y. SutulaTKTatyana Sergeevna Khosnutdinova
Tatyana Sergeevna KhosnutdinovaEZEkaterina Zhakmanova
Ekaterina Zhakmanova
AAAlena Akhmadiyeva
Alena AkhmadiyevaThe eastern region of Kazakhstan is an important territorial district producing seed potatoes. Since 2022, the region has been divided into the Abay region (administrative center in Semey city) and...
About Me
Assoc. Professor, PhD Maxim Y. Sutula, Leading researcher at the Plant Genetic Engineering Laboratory, National Center for Biotechnology, Astana, Kazakhstan (2023–present).
EDUCATION: master's in biotechnology, Seifullin Kazakh Agrotechnical University, Astana, Kazakhstan (2008–2010); PhD in biology, Gumilyov Eurasian National University, Astana, Kazakhstan (2013–2018).
EXPERIENCE (15 years): Chief Researcher of National Science Shared Laboratory, Amanzholov University, Oskemen, Kazakhstan (2021–2023); Head of National Science Shared Laboratory, Amanzholov University, Oskemen, Kazakhstan (2019–2021); Head of Plant Biology and Biotechnology Laboratory, Amanzholov University, Oskemen, Kazakhstan (2019–2019); Researcher, Laboratory of Plant Biotechnology, Gumilyov Eurasian National University, Astana, Kazakhstan (2013–2018); Junior Researcher, Laboratory of Biotechnology, Seifullin Kazakh Agrotechnical University, Astana, Kazakhstan (2004–2013).
INTERESTS: molecular and biochemical mechanisms of interaction between plants and viruses; plant
signaling in biotic and abiotic stress; RNA-interference; plant biotechnology and biochemistry; agricultural biotechnology; molecular phytopathology; microbiology and virology; immunology; diagnostics of infectious diseases; virus detection and biosecurity; genetic engineering; genome editing by CRISPR/Cas; DNA sequencing; DNA barcoding; PCR; ELISA; chromatography of proteins and nucleic acids; phylogenetic analysis; Bayesian inference.