Polymorphism of Russian Populations of Rhopalosiphum padi L. Based on DNA Markers
- Authors: Radchenko E.E.1, Anisimova I.N.1, Alpatieva N.V.1
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Affiliations:
- Vavilov All-Russian Institute of Plant Genetic Resources
- Issue: Vol 60, No 8 (2024)
- Pages: 66-73
- Section: ГЕНЕТИКА ЖИВОТНЫХ
- URL: https://rjpbr.com/0016-6758/article/view/667216
- DOI: https://doi.org/10.31857/S0016675824080068
- EDN: https://elibrary.ru/bfptnk
- ID: 667216
Cite item
Abstract
Using the next-generation sequencing (NGS) technology, the nucleotide polymorphism in a fragment of the ND4 gene encoding NADH dehydrogenase subunit 4 was studied in 14 samples from three populations of the bird cherry-oat aphid (Rhopalosiphum padi L.) and the range of nucleotide polymorphism was determined. The insects were collected in 2021 and 2022 in the North-West of Russia (in the vicinity of St. Petersburg) and in the northern Caucasus (Krasnodar Territory and Dagestan). Mitochondrial DNA haplotypes were identified, which have 97.95–99.80% sequence identity with the reference GenBank accession number KT447631.1. The level of intraspecific polymorphism of a 438 bp ND4 gene fragment in Rh. padi varied from 0.2 to 4.3%. In the two-year experiments, 33 polymorphic sites (17 transitions and 16 transversions) were found in the ND4 sequences, which made it possible to identify 30 mitochondrial DNA haplotypes. The Rh. padi populations collected simultaneously on different host plants or at different times on bird cherry (spring) and cereals (summer) differed in the proportion of the main haplotype, as well as in the composition of unique minor haplotypes. Analysis of the ratio of mitochondrial DNA haplotypes suggests the important role of the host plant genotype in the formation of the structure of Rh. padi populations.
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About the authors
E. E. Radchenko
Vavilov All-Russian Institute of Plant Genetic Resources
Author for correspondence.
Email: eugene_radchenko@rambler.ru
Russian Federation, St. Petersburg, 190000
I. N. Anisimova
Vavilov All-Russian Institute of Plant Genetic Resources
Email: eugene_radchenko@rambler.ru
Russian Federation, St. Petersburg, 190000
N. V. Alpatieva
Vavilov All-Russian Institute of Plant Genetic Resources
Email: eugene_radchenko@rambler.ru
Russian Federation, St. Petersburg, 190000
References
- Wiktelius S. Long range migration of aphids into Sweden // Int. J. Biometeorol. 1984. V. 28. № 3. P. 185–200. https://doi.org/10.1007/BF02187959
- Kieckhefer R.W., Lytle W.F. Summer and autumn flight of cereal aphids in South Dakota // J. Econ. Entomol. 1976. V. 69. № 3. P. 421–422. https://doi.org/10.1093/jee/69.3.421
- Song N., Zhang H., Li H., Cai W. All 37 mitochondrial genes of aphid Aphis craccivora obtained from transcriptome sequencing: Implications for the evolution of aphids // PLoS One. 2016. V. 11. № 6. https://doi.org/10.1371/journal.pone.0157857
- Wongsa K., Duangphakdee O., Rattanawannee A. Genetic structure of the Aphis craccivora (Hemiptera: Aphididae) from Thailand inferred from mitochondrial COI gene sequence // J. Insect Sci. 2017. V. 17. № 4. Article 84. https://doi.org/10.1093/jisesa/iex058
- Guo J., Li J., Massart S. et al. Analysis of the genetic diversity of two Rhopalosiphum species from China and Europe based on nuclear and mitochondrial genes // Insects. 2023. V. 14. Article 57. https://doi.org/10.3390/insects14010057
- Aikhionbare F.O., Mayo Z.B. Mitochondrial DNA sequences of greenbug (Homoptera: Aphididae) biotypes // Biomol. Eng. 2000. V. 16. № 6. P. 199–205. https://doi.org/10.1016/S1389-0344(99)00054-4
- Radchenko E.E., Alpatieva N.V., Chumakov M.A., Abdullaev R.A. Variability of the North Caucasian populations of greenbug for the virulence to host plants and by the molecular markers // Russ. J. Genet. 2019. V. 55. № 11. P. 1417–1425. https://doi.org/10.1134/S1022795419110127
- Radchenko E.E., Berim M.N., Zubov A.A. Genetic control of different types of the aphid resistance in cereal crops // Entomol. Rev. 2007. V. 87. № 3. P. 253–262. https://doi.org/10.1134/S0013873807030025
- Алпатьева Н.В., Антонова О.Ю., Радченко Е.Е. и др. ПЦР-диагностика вредных организмов гуара: методические указания / Под ред. Потокиной Е.К. СПб.: ВИР, 2019. https://doi.org/10.30901/978-5-907145-44-3
- Bolger A.M., Lohse M., Usadel B. Trimmomatic: A flexible trimmer for Illumina sequence data // Bioinformatics. 2014. V. 30. № 15. P. 2114–2120. https://doi.org/10.1093/bioinformatics/btu170
- Caporaso J.G., Kuczynski J., Stombaugh J. et al. QIIME allows analysis of high throughput community sequencing data // Nat. Methods. 2010. V. 7. № 5. P. 335–336. https://doi.org/10.1038/nmeth.f.303
- Callahan B.J., McMurdie P.J., Rosen M.J. et al. DADA2: High-resolution sample inference from Illumina amplicon data // Nat. Methods. 2016. V. 13. № 7. P. 581–583. https://doi.org/10.1038/nmeth.3869
- Kumar S., Stecher G., Tamura K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets // Mol. Biol. Evol. 2016. V. 33. № 7. P. 1870–1874. https://doi.org/10.1093/molbev/msw054
- Tamura K., Nei M., Kumar S. Prospects for inferring very large phylogenies by using the neighbor-joining method // Proc. Natl. / Acad. Sci. USA. 2004. V. 101. № 30. P. 11030–11035. https://doi.org/10.1073/pnas.0404206101
- Giraud T., Enjalbert J., Fournier E. et al. Population genetics of fungal diseases of plants // Parasite. 2008. V. 15. № 3. P. 449–454. https://doi.org/10.1051/parasite/2008153449
- Peakall R., Smouse P.E. GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research – an update // Bioinformatics. 2012. V. 28. №19. P. 2537–2539. https://doi.org/10.1093/bioinformatics/bts460
- Sneath P.H.A., Sokal R.R. Numerical Taxonomy: The Principles and Practice of Numerical Classification. San Francisco: Freeman, 1973. 573 p.
- Kinyanjui G., Khamis F.M., Mohamed S. et al. Identification of aphid (Hemiptera: Aphididae) species of economic importance in Kenya using DNA barcodes and PCR-RFLP-based approach // Bull. Entomol. Res. 2016. V. 106. № 1. P. 63–72. https://doi.org/10.1017/S0007485315000796
- Wang K., Liu G.M., Song C.M. et al. Mitochondrial genetic diversity in the bird cherry-oat aphid Rhopalosiphum padi (L.) in China // J. Agr. Sci. Tech. 2018. V. 20. № 1. P. 95–107.
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