Academic Journal
Evaluating DNA barcoding using cpDNA matK and rbcL for species identification and phylogenetic analysis of Prunus armeniaca L. (Rosaceae) genotypes.
| العنوان: | Evaluating DNA barcoding using cpDNA matK and rbcL for species identification and phylogenetic analysis of Prunus armeniaca L. (Rosaceae) genotypes. |
|---|---|
| المؤلفون: | Sevindik, Emre, Korkom, Yunus, Murathan, Zehra Tuğba |
| المصدر: | Genetic Resources & Crop Evolution; Jun2024, Vol. 71 Issue 5, p1825-1835, 11p |
| مستخلص: | In this study, DNA barcoding and phylogenetic analysis of five Prunus armeniaca L. genotypes (Cataloglu, Hacihaliloglu, Hasanbey, Hudayi, and Kabaasi) grown in Malatya/Türkiye were conducted using chloroplast DNA (cpDNA) matK and rbcL regions. The cpDNA matK region was amplified using matK472F and matK1248R primers, while the rbcL region was amplified with rbcLaF and rbcLaR primers. The matK and rbcL sequences were utilized to assess nucleotide ratios, genetic distance, and nucleotide diversity (π). The neighbor- joining (NJ) tree including other Prunus species from NCBI was created. In addition, physiochemical and 3-D analysis of matK and rbcL proteins were performed. As a result, π = 0.000549 for matK sequence and π = 0.002657 for rbcL sequence were determined. NJ (neighbor joining) phylogenetic trees formed with both matK and rbcL sequences were found to be compatible with each other. The matK and rbcL gene regions were found to be suitable for phylogenetic analysis. [ABSTRACT FROM AUTHOR] |
| Copyright of Genetic Resources & Crop Evolution is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| قاعدة البيانات: | Complementary Index |
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