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Methodological approaches to the formation of a bank of genetic data of trees of the main forest-forming species in the territory of the Russian Federation

https://doi.org/10.53374/1993-0135-2025-2-7-13

Abstract

The article is devoted to the issue of the methodology of genetic certification of the main forest-forming species, which has now acquired particular relevance and requires regulation in the legal field. A uniform regulated approach to the logistical equipment of laboratories and methods of performing work on the use of molecular genetic diagnostic methods in the forest industry is the key to forming a reliable foundation for an objective and scientifically sound assessment of a single set of reliable data on the genetic stability or intraspecific variability of a particular forest population. Due to the socio-political situation in the country, improving approaches to database formation is particularly important, as the Russian Federation may be isolated from the world databases. Ensuring the sovereignty of the country  in the complex solution of the tasks of accelerated development of genetic technologies, in particular in the forest industry,  is a necessary step, including the ensuring of national environmental and economic security. Analysis of nine existing databases of plant genetic resources hosted on publicly available platforms on the Internet, as well as the industry – specific automated analytical system AAS “Forest Genetics”, created at the Federal State Budgetary Institution Roslesozashchita as part of the implementation of the Integrated Biotechnology Development Program in the Russian Federation for the period up to 2020, approved by the Government of the Russian Federation on 04.24.2012 No. 1853p-P, allowed us to formulate a number of proposals for improving approaches to organizing a reference database of genetic data on the main forestforming species. To improve the efficiency of working with the Forest Genetics system, it is planned to expand the geographical network of sample collection, introduce forest-seed zoning and a raster layer of maps, implement the function of visualizing surveys and results, expand the database of forest diseases and pests (including microorganisms). At the same time, in general, the conceptual approach to the formation of this analytical system is close to the existing international one.

About the Authors

A. A. Razdymaho
Department of Forest Pyrology and Forest Protection from Fires – Center for the Development of Priority Unmanned Technologies in the Forestry Industry FBI ARRISMF
Russian Federation

15, Institutskaya str., Pushkino, Moscow region, 141200



A. A. Slipets
Russian Centre of Forest Health
Russian Federation

13, Nadsonovskaya str., Pushkino, Moscow region, 141207



M. A. Arefeva
Russian Centre of Forest Health
Russian Federation

13, Nadsonovskaya str., Pushkino, Moscow region, 141207



V. A. Savchenkova
Department of Forest Pyrology and Forest Protection from Fires – Center for the Development of Priority Unmanned Technologies in the Forestry Industry FBI ARRISMF
Russian Federation

15, Institutskaya str., Pushkino, Moscow region, 141200



References

1. Amyaga E. N., Isaev S. P. Opredelenie vidovoj prinadlezhnosti listvennicy v Evrejskoj avtonomnoj oblasti i ocenka ee fitosanitarnogo sostoyaniya // Regional’nye problemy, 2021. T. 24, No. 1. S. 3–9.

2. Podbor yadernyh mikrosatellitnyh lokusov dlya vidovoj identifikacii listvennicy daurskoj (Gmelina) i listvennicy sibirskoj, a takzhe sravnenie ih geneticheskih profilej dlya resheniya zadach lesnogo hozyajstva / E. N. Amyaga, S. V. Nifontov, A. N. Gridnev, N. M. Makrushin // Byulleten’ Gosudarstvennogo Nikitskogo botanicheskogo sada, 2019. No. 132. S. 72–79.

3. Bespalova V. V., Polyanskaya O. A. Vnedrenie cifrovyh tekhnologij na predpriyatiyah lesnogo kompleksa // Zhurnal prikladnyh issledovanij, 2021. No. 2-4. S. 66–70.

4. Butvilovskij A. V., Barkovskij E. V., Butvilovskij V. E. Sravnitel’naya harakteristika variantov NCBI blast-analiza ryada mitohondrial’nyh fermentov razlichnyh zhivotnyh // Medicinskij zhurnal. 2006. No. 3(17). S. 34–36.

5. Gagarin Yu. N., Dobrovol’skij A. A., Smirnov A. P. Sostoyanie i perspektivy ohrany lesov ot nezakonnyh rubok v Rossijskoj Federacii // Voprosy lesnoj nauki, 2019. T. 2, No. 4. S. 22.

6. Neobhodimost’ vnedreniya cifrovyh tekhnologij v lesnoe hozyajstvo Rossii kak glavnogo mekhanizma ustojchivogo lesoupravleniya / S. A. Gal’chenko, O. B. Borodina, A. A. Rasskazova, I. V. Chuksin // Moskovskij ekonomicheskij zhurnal, 2021. No. 2. S. 50–61.

7. Kamalov R. M. Geneticheskaya izmenchivost’ populyacii vnutri lesosemennyh rajonov i semenovodstvo Quercus Robur L. // Byulleten’ Gosudarstvennogo Nikitskogo botanicheskogo sada, 2022. № 144. S. 19–24.

8. Karaseva O. A., Malkova T. V. Informacionnye tekhnologii v lesnom biznese // Lesa Rossi i hozyajstvo v nih, 2020. No.1(72). S. 71–77.

9. Knaus O. A., Prudnikova A. Yu., Nikerov D. M. Effektivnost’ ispol’zovaniya ekspertiz pri rassledovanii prestuplenij, svyazannyh s nezakonnymi rubkami lesnyh nasazhdenij // Kriminalistika: vchera, segodnya, zavtra, 2019. No. 3. S. 57–65.

10. Baza dannyh po vnutrividovoj izmenchivosti hvojnyh rastenij Sibiri / S. G. Knyazeva, L. I. Milyutin, E. N. Muratova [et al.] // Hvojnye boreal’noj zony. 2007. T. 24. No. 2-3. S. 201–206.

11. Razvitie genetiko-selekcionnyh metodov povysheniya produktivnosti lesov / O. M. Korchagin, M. A. Semenov, I. N. Varivodina [et al.] // Lesohozyajstvennaya informaciya, 2020. No. 4. S. 5–22.

12. Postgenomnye tekhnologii v prakticheskom lesnom hozyajstve: razrabotka polnogenomnyh markerov dlya identifikacii proiskhozhdeniya drevesiny i drugih zadach / K. V. Krutovskij, Yu. A. Putinceva, N. V. Oreshkova [et al.] // Lesotekhnicheskij zhurnal, 2019. No. 1. S. 9–16.

13. Mel’chakova E. V., Maleeva N. A. Geneticheskoe raznoobrazie estestvennyh populyacij sosny obyknovennoj v severnoj chasti Respubliki Karelii // Lesohozyajstvennaya informaciya, 2023. No. 1. S. 85–96.

14. Sostoyanie i zadachi sovershenstvovaniya ucheta vidovogo raznoobraziya drevesnyh i kustarnikovyh rastenij v lesnom hozyajstve / M. M. Palenova, V. N. Korotkov, A. A. Notov [et al.] // Lesohozyajstvennaya informaciya, 2022. No. 4. S. 58–84.

15. O gosudarstvennoj informacionnoj sisteme v oblasti geneticheskoj informacii “Nacional’naya baza geneticheskoj informacii” : Postanovlenie Pravitel’stva Rossijskoj Federacii ot 31.01.2024 No. 87. URL: //http://pravo.gov.ru/.

16. Ob utverzhdenii Strategii razvitiya lesnogo kompleksa Rossijskoj Federacii do 2030 goda : Rasporyazhenie Pravitel’stva RF ot 11.02.2021 No. 312-r. URL: //https://www.consultant.ru/.

17. O Strategii nauchnotekhnologicheskogo razvitiya Rossijskoj Federacii : Ukaz Prezidenta Rossijskoj Federacii ot 01.12.2016 No. 642. URL: //http://pravo.gov.ru/.

18. O Nacional’nom centre geneticheskih resursov rastenij : Ukaz Prezidenta Rossijskoj Federacii ot 08.02.2022 No. 44. URL: //http://pravo.gov.ru/.

19. O razvitii geneticheskih tekhnologij v Rossijskoj Federacii : Ukaz Prezidenta Rossijskoj Federacii ot 28.11.2018 No. 680. URL: //http://pravo.gov.ru/.

20. Fis’kov I. A. Sostoyanie i dinamika prestuplenij, svyazannyh s nezakonnym ispol’zovaniem lesov // Agrarnoe i zemel’noe pravo, 2019. No. 3. S. 121–127.

21. Sovremennoe sostoyanie lesnoj selekcii v Rosijskoj Federacii: trend poslednih desyatiletij / A. P. Carev, N. V. Laur, V. A. Carev, R. P. Careva // Izvestie vuzov. Lesnoj zhurnal, 2022. No. 6. S. 38–55.

22. Shejkina O. V., Gladkov Yu. F. Geneticheskoe raznoobrazie i differenciaciya cenopopulyacij sosny obyknovennoj (Pinus sylvestris L.) sformirovannyh na bolotnyh i suhodol’nyh ekotipah // Vestnik Tomskogo gosudarstvennogo universiteta, 2020. No. 50. S. 101–118.

23. Shejkina O. V. Primenenie molekulyarnyh markerov v lesnom selekcionnom semenovodstve v Rossii: opyt i perspektivy // Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Seriya: Les. Ekologiya. Prirodopol’zovanie, 2022. No. 2. S. 64–79.

24. Yacenko A. M. Sovershenstvovanie sistem operativnogo monitoringa za sostoyaniem lesov kak odin iz perspektivnyh sposobov bor’by s nelegal’nymi lesozagotovkami // Voprosy Rossijskoj yusticii, 2020. No. 10. S. 281–284.

25. Bairoch A., Apweiler R. The SWISS-PROT protein sequence data bank and its new supplement TREMBL. (angl.) // Nucleic acids research. 1996. Vol. 24, No. 1. P. 21–25. PMID 8594581.

26. BOLD. Elektron. dan. Rezhim dostupa: http://www.boldsystems.org, svobodnyj. Zagl. s ekrana. Yazyk angl.

27. Bruno J. Strasser. GenBank--Natural History in the 21st Century? (angl.) // Science. 2008-10-24. Vol. 322, iss. 5901. P. 537–538. ISSN 1095-9203. DOI 10.1126/science.1163399.

28. MolBiol.ru. Elektron. dan. Rezhim dostupa: http://molbiol.ru/ol.ru, svobodnyj. Zagl. s ekrana. Yazyk rus., lat.

29. NCBI. Elektron. dan. Rezhim dostupa: https://www.ncbi.nlm.nih.gov/, svobodnyj. Zagl. s ekrana. Yazyk angl.

30. Taylor Falk, Nic Herndon, Emily Grau, Sean Buehler, Peter Richter, Sumaira Zaman, Eliza M. Baker, Risharde Ramnath, Stephen Ficklin, Margaret taton, Frank A. Feltus, Sook Jung, Doreen Main and Jil L. Wegrzyn. Growing and cultivating the forest genomics database, TreeGenes. Database, 2018, 1–11 doi: 10.1093/ database/bay084.

31. TreeGenes. Elektron. dan. Rezhim dostupa: https://treegenesdb.org/, svobodnyj. Zagl. s ekrana. Yazyk angl.

32. UniProt. Elektron. dan. Rezhim dostupa: https://www.uniprot.org/ svobodnyj. Zagl. s ekrana. Yazyk angl.


Review

For citations:


Razdymaho A.A., Slipets A.A., Arefeva M.A., Savchenkova V.A. Methodological approaches to the formation of a bank of genetic data of trees of the main forest-forming species in the territory of the Russian Federation. Conifers of the boreal area. 2025;43(2):7-13. (In Russ.) https://doi.org/10.53374/1993-0135-2025-2-7-13

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ISSN 1993-0135 (Print)