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Identification of SNPs Associated with Drought Resistance in Hybrid Populations of (L.) H. Karst.- (Ledeb.)

Overview
Journal Genes (Basel)
Publisher MDPI
Date 2024 Nov 27
PMID 39596640
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Abstract

Background/objectives: The spruces of the - complex have a total range that is the most extensive in the world flora of woody conifers. Hybridization between the nominative species has led to the formation of a wide introgression zone, which probably increases the adaptive potential of the entire species complex. This study aimed to search the genes associated with drought resistance, develop primers for the informative loci of these genes, identify and analyze SNPs, and establish the parameters of nucleotide diversity in the studied populations.

Methods: The objects of this study were eight natural populations of the spruce complex in the Urals. Nucleotide sequences related to drought resistance spruce genes with pronounced single-nucleotide substitutions were selected, based on which 16 pairs of primers to their loci were developed and tested.

Results: Based on the developed primers, six pairs of primers were chosen to identify SNPs and assess the nucleotide diversity of the studied populations. All selected loci were highly polymorphic (6 to 27 SNPs per locus). It was found that the locus is the most variable ( = 0.947; = 0.011) and selectively neutral, and the locus is the most conservative ( = 0.516; = 0.002) and has the most significant adaptive value.

Conclusions: The nucleotide diversity data for the studied populations reveal similar values among the populations and are consistent with the literature data. The discovered SNPs can be used to identify adaptive genetic changes in spruce populations, which is essential for predicting the effects of climate change.

References
1.
Librado P, Rozas J . DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009; 25(11):1451-2. DOI: 10.1093/bioinformatics/btp187. View

2.
Laverdiere J, Lenz P, Nadeau S, Depardieu C, Isabel N, Perron M . Breeding for adaptation to climate change: genomic selection for drought response in a white spruce multi-site polycross test. Evol Appl. 2022; 15(3):383-402. PMC: 8965362. DOI: 10.1111/eva.13348. View

3.
Karunarathne P, Zhou Q, Lascoux M, Milesi P . Hybridization mediated range expansion and climate change resilience in two keystone tree species of boreal forests. Glob Chang Biol. 2024; 30(4):e17262. DOI: 10.1111/gcb.17262. View

4.
Zhou Q, Karunarathne P, Andersson-Li L, Chen C, Opgenoorth L, Heer K . Recurrent hybridization and gene flow shaped Norway and Siberian spruce evolutionary history over multiple glacial cycles. Mol Ecol. 2024; 33(17):e17495. DOI: 10.1111/mec.17495. View

5.
Kalendar R, Shevtsov A, Otarbay Z, Ismailova A . PCR analysis: a comprehensive bioinformatics tool for enhancing nucleic acid amplification assays. Front Bioinform. 2024; 4:1464197. PMC: 11491563. DOI: 10.3389/fbinf.2024.1464197. View