Study of the Genetic Mechanisms of Siberian Stone Pine ( Pinus sibirica Du Tour) Adaptation to the Climatic and Pest Outbreak Stresses Using Dendrogenomic Approach.

Autor: Novikova SV; Laboratory of Genomic Research and Biotechnology, Federal Research Center 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences', 660036 Krasnoyarsk, Russia.; Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia., Oreshkova NV; Laboratory of Genomic Research and Biotechnology, Federal Research Center 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences', 660036 Krasnoyarsk, Russia.; Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.; Laboratory of Forest Genetics and Selection, V.N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036 Krasnoyarsk, Russia.; Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia., Sharov VV; Laboratory of Genomic Research and Biotechnology, Federal Research Center 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences', 660036 Krasnoyarsk, Russia.; Krasnoyarsk Regional Center of New Information Technologies, Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia., Kuzmin DA; Krasnoyarsk Regional Center of New Information Technologies, Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia.; Department of High-Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia., Demidko DA; Laboratory of Forest Protection, M.F. Reshetnev Siberian State University of Science and Technology, 660000 Krasnoyarsk, Russia.; Laboratory of Forest Zoology, V.N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036 Krasnoyarsk, Russia., Bisirova EM; Laboratory for Monitoring of the Carbon Balance of Terrestrial Ecosystems, Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of Russian Academy of Sciences, 634055 Tomsk, Russia.; All-Russian Plant Quarantine Center (VNIIKR), Tomsk Branch, 634069 Tomsk, Russia., Zhirnova DF; Khakass Technical Institute, Siberian Federal University, 655017 Abakan, Russia.; Institute of Ecology and Geography, Siberian Federal University, 660041 Krasnoyarsk, Russia., Belokopytova LV; Khakass Technical Institute, Siberian Federal University, 655017 Abakan, Russia.; Institute of Ecology and Geography, Siberian Federal University, 660041 Krasnoyarsk, Russia., Babushkina EA; Khakass Technical Institute, Siberian Federal University, 655017 Abakan, Russia.; Institute of Ecology and Geography, Siberian Federal University, 660041 Krasnoyarsk, Russia., Krutovsky KV; Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.; Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.; Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Goettingen, 37077 Goettingen, Germany.; Center for Integrated Breeding Research, George-August University of Goettingen, 37075 Goettingen, Germany.; Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia.; Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, 394087 Voronezh, Russia.
Jazyk: angličtina
Zdroj: International journal of molecular sciences [Int J Mol Sci] 2024 Nov 01; Vol. 25 (21). Date of Electronic Publication: 2024 Nov 01.
DOI: 10.3390/ijms252111767
Abstrakt: A joint analysis of dendrochronological and genomic data was performed to identify genetic mechanisms of adaptation and assess the adaptive genetic potential of Siberian stone pine ( Pinus sibirica Du Tour) populations. The data obtained are necessary for predicting the effect of climate change and mitigating its negative consequences. Presented are the results of an association analysis of the variation of 84,853 genetic markers (single nucleotide polymorphisms-SNPs) obtained by double digest restriction-site associated DNA sequencing (ddRADseq) and 110 individual phenotypic traits, including dendrophenotypes based on the dynamics of tree-ring widths (TRWs) of 234 individual trees in six natural populations of Siberian stone pine, which have a history of extreme climatic stresses (e.g., droughts) and outbreaks of defoliators (e.g., pine sawfly [ Neodiprion sertifer Geoff.]). The genetic structure of studied populations was relatively weak; samples are poorly differentiated and belong to genetically similar populations. Genotype-dendrophenotype associations were analyzed using three different approaches and corresponding models: General Linear Model (GLM), Bayesian Sparse Linear Mixed Model (BSLMM), and Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK), respectively. Thirty SNPs were detected by at least two different approaches, and two SNPs by all three. In addition, three SNPs associated with mean values of recovery dendrophenotype (Rc) averaged across multiple years of climatic stresses were also found by all three methods. The sequences containing these SNPs were annotated using genome annotation of a very closely related species, whitebark pine ( P. albicaulis Engelm.). We found that most of the SNPs with supposedly adaptive variation were located in intergenic regions. Three dendrophenotype-associated SNPs were located within the 10 Kbp regions and one in the intron of the genes encoding proteins that play a crucial role in ensuring the integrity of the plant's genetic information, particularly under environmental stress conditions that can induce DNA damage. In addition, we found a correlation of individual heterozygosity with some dendrophenotypes. Heterosis was observed in most of these statistically significant cases; signs of homeostasis were also detected. Although most of the identified SNPs were not assigned to a particular gene, their high polymorphism and association with adaptive traits likely indicate high adaptive potential that can facilitate adaptation of Siberian stone pine populations to the climatic stresses and climate change.
Databáze: MEDLINE
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