Abstract
Two intergenic spacers cpDNA barcoding regions were used to assess the genetic diversity and phylogenetic structure of a collection of 25 Prunus accessions. The trnH-psbA and trnL-trnF intergenic spacers were able to distinguish and identify only four Prunus species. The average aligned length was 316–352 bp and 701–756 bp for trnH-psbA and trnL-trnF, respectively. The overall evolutionary divergence was higher in trnH-psbA than trnL-trnF. The transition/transversion bias (R) recorded as 0.59 in trnL-trnF and 0.89 in trnH-psbA. The number of invariable sites, nucleotide diversity (Pi), and the average number of nucleotide differences (k) was higher in the trnH-psbA region. The trnL-trnF records was above the other region in the number of variable sites, number of singleton variable sites, and the parsimony informative sites. Phylogenetic relationships among the 25 accessions of Prunus species were investigated. Most of the different Prunus species clustered in a homogenized distribution in both regions, except for the plum (P. domestica) accession (African Rose) was assigned with the peach (P. persica) accessions. The two intergenic cpDNA trnH-psbA and trnL-trnF were able to distinguish and identify the four Prunus species accessions.
Similar content being viewed by others
Introduction
The first crucial step in conserving plant genetic resources is the correct identification of the targeted species. A potential method to meet this identification is DNA barcoding, which is the identification of species by a short universal DNA sequence that exhibits a sufficient level of variation to discriminate among species [1, 2]. The emergence of DNA barcoding has had a positive impact on biodiversity classification and identification [3]. The primary goals of DNA barcoding technique are species identification of known specimens and discovery of overlooked species for enhancing taxonomy for the benefit of science and society [4]. Using DNA barcoding, a species can be identified from a tiny amount of tissue, seeds, or fragmentary materials [5]. After an extensive inventory of gene regions in the mitochondrial, plastid, and nuclear genomes of plants, four primary gene regions (rbcL, matK, trnH-psbA, and ITS) have generally been agreed upon as the standard DNA barcodes of choice in most applications for plants [6,7,8,9]. Recently, research interest has spread through the DNA barcoding for economically important species of plants [10].
Prunus (or stone fruits) belongs to family Rosacea, is an economically important genus with approximately 200 species, grown in moderate regions [11]. The most common important cultivated species are; european plum (P. domestica L.), japanese plum (P. salicina Lindl.), sweet cherry (P. avium L.), sour cherry (P. cerasus L.), peach (P. persica (L.) Batsch), nectarine (P. persica var. nucipersica (Suckow) C. K. Schneid.), almond (P. dulcis (Mill.) D. A. Webb.), and apricot (P. armeniaca L.) [12]. Prunus persica includes peach and nectarine. The nectarine (P. perscica var. nucipersica) is a mutant strain of peach (P. persica), with special unique fruit characteristics [13]. Prunus genome is relatively small with about 250–300 Mbp [14]. The basic number of Prunus chromosomes is (x = 8). Almond (P. dulcis), peach (P. persica), apricot (P. armeniaca L.), sweet cherry (P. avium L.), Japanese plum (P. salicina Lindl.) are diploids (2n = 2 × = 16). Unless the European plum (P. domestica L.) is hexaploidy (2n = 6 × = 48), it is supposed resulted from the tetraploid species (P. spinosa L.) and the diploid species (P. cerasifera Ehrh.) [15]. The correct identification and characterization of plant genetic resources (PGR) is important for germplasm utilization [16]. Using modern DNA-based markers is necessary for gene bank management [17].
The overall goal of this study is to assess the genetic diversity and phylogenetic structure of a collection of 25 Prunus accessions grown in Egypt conserved in the National Gene Bank, utilizing two intergenic DNA barcoding regions (trnH-psbA and trnL-trnF).
Materials and Methods
Plant Materials
The current research conducted using 25 Prunus genotypes belonging to 5 species grown in Egypt, collected from different locations. The twenty-five Prunus accessions were collected, conserved, and maintained in the gene bank greenhouses. The samples used in this study are demonstrated in Table 1.
DNA Isolation, PCR Thermocycling Profile of Prunus DNA Barcoding Identification
The genomic DNA (gDNA) of the samples was extracted using Qiagen DNeasy kit (cat No. 69104). The DNA was quantified using NanoDrop™ OneC (cat No. 840-329700) and adjusted to 50 ng/µl and used in the reactions. The twenty-five different Prunus samples were identified using two chloroplast DNA intergenic regions (trnH-psbA and trnL-trnF). The PCR reaction amplifications were performed on BioRad™ T100 thermal Cycler (No. 1861096), in 25 µl reaction volume, containing 2X of EmeraldAmp® MAX PCR mix (RR320A), 50 ng gDNA, and 20pMol for each primer. The primer sequence and thermocycling profile of PCR are demonstrated in Table 2.
DNA sequencing was carried out by Potsdam, Institute of Biochemistry and Biology (Potsdam, Germany) using an ABI sequencer. All sequences were submitted to NCBI GenBank, USA. GenBank provided accession numbers for the nucleotide sequences of each accession for each of the two loci, as demonstrated in Table 3.
The Sequences Alignment and Phylogenetic Trees
The sequences of trnH-psbA and trnL-trnF for the two loci were subjected to NCBI–BLASTN online tool http://blast.ncbi.nlm.nih.gov/Blast.cgi [20] to check the sequence similarity against sequences in the nucleotide collection (nr/nt) database. BLASTN default parameters were used and the organism selected was Prunus species in this database. Alignments of sequence were achieved by MUSCLE algorithm [21]. The evolutionary rate parameters, the pattern of nucleotide substitutions, and the average of evolutionary divergence over all the sequences, and phylogenetic trees were generated based on the Maximum Likelihood (ML) model, using MEGA version 11 software [22], other parameters of sequence diversity were calculated using DnaSP version5 [23].
Results and Discussion
The average aligned length was 316–352 bp and 701–756 bp, for trnH-psbA and trnL-trnF loci, respectively. The trnH-psbA over all evolutionary divergence was higher (0.05) than in trnL-trnF (0.007). The transition/transversion bias (R) recorded as 0.59 and 0.89 in trnL-trnF and trnH-psbA, respectively.
The number of invariable sites was higher in trnH-psbA than in trnL-trnF (670 and 214, respectively). While, the number of variable (polymorphic) and singleton variable sites were lower (18 and 6) in trnH-psbA than in the other loci (77 and 47). The nucleotide diversity (Pi) and the average number of nucleotide differences (k) in trnH-psbA was lower than the other region. Meanwhile, the number of parsimony informative sites was higher (30) in trnL-trnF than the other region (12), Table 4 represent the results.
trnH-psbA Loci Sequence Analyses
The trnH-psbA loci length across the twenty-five Prunus accessions ranged from 316 to 352 bp. The nucleotide frequencies for A, T, C and G was 37.6%, 37.6%, 12.4% and 12.4%, respectively. The rate of different transitional substitutions from G to A was equal to those from C to T (16.73). On the other hand, the transversionsal substitution rates was equal as it recorded 10.44 for transversion from T to A, from C to A, and from G to T. While, it reached 3.44 in transversion from G to C, results shown in Table 5.
trnH-psbA Phylogenetic Tree
The phylogentic tree computed from the trnH-psbA chloroplast region (Fig. 1) for the different Prunus species, assigned the peach, almond, and apricot to its relative species.
The Japanese plum accession (P. salicina) was assigned among the European plum (P. domestica) species accessions in the phylogenetic tree. European plum accessions (Bokra, and English) were clustered away from the related species accessions. Also, African Rose European plum accession was clustered among the peach accessions. Almond (P. dulcis) samples were homogenized and grouped together in the same group, where the two local accessions (Hash and Adm) were closer to each other than the other two samples. Peach (P. persica) and Nectarine (P. persica var. nucipersica) were grouped in the similar group. The apricot (P. armeniaca) accessions (Hammaway and Canino) constructed together, as they were closer to each other than the other accessions.
trnL-trnF Region Sequence Analyses
The trnL-trnF chloroplast region length across the different Prunus sequences length ranged from 701 to 756 bp. The nucleotide frequencies for trnL-trnF region sequence was as equal for T and A (32.99%), and equal in G and C as 17.01%. The lowest rate of transitional substitution events was 5.14 for transition substitution from G to C. While, it was equal rate (9.98) in the transition substitution from T to A, from C to A, and from G to T. The transversion substitution from C to T had the equal value (13.04) as for the value of transversion from G to A (results shown in Table 6). The estimates of average evolutionary divergence over all sequences for trnL-trnF region was 0.007.
trnL-trnF Phylogenetic Tree
The trnL-trnF-based phylogenetic (Fig. 2) clustered most the Prunus species properly, with two exceptions. First: the African Rose European plum accession, was clustered distantly away from related species near to peach species (P. persica) accessions. Second: the Japanese plum (P. salicina) was assigned amomg the European plum (P. domstica) species accessions. The apricot (P. armeniaca) accessions clustered together in two groups, as accessions (Hammway, El-Amal and Ammar01) clustered in the first group, while accessions (Hayed, Ammar02, and Canino) clustered in the second. The European plum (P. domestica) species accessions were clustered in a homogenized groups, except the Japanese plum accession (P. salicina) was assigned with the succari European plum species accession. The almond (P. dulcis) species accessions were grouped together in a related cluster. The peach (P. persica) and nectarine (P. persica var. nucipersica) accessions were grouped in a related groups, where the nectarine (P. persics var. nucipesica) acession was in the same group with Florida Prince, and Early Grand peach. the two accessions (Balady and Early Swelling) were clustered in a distant groups. The African Rose (European plum) species accession was clustered in the same group with Florida Prince, Early Grand, and Nectarine peach accessions.
Concatenated Sequences-Based Phylogenetic Tree
The concatenated (combined) sequences were assembled and aligned from trnH-psbA and trnL-trnF sequences for the twenty-five Prunus accessions.
The concatenated-based phylogentic tree (Fig. 3) demonstrated an overview for the combined sequences of the two chloroplast intergenic regions across the five Prunus species for the 25 Prunus accessions. The most noted observation was that most Prunus species clustered together with the same relative species. Except, the European plum (P. domestica) accession (African Rose) which was assigned with the peach (P. persica) accessions. Also, the Japanese plum (P. salicina) accession assigned with the European plum (P. domestica) accessions.
The two accessions of European plum (Bokra and English) grouped away from the other relative European plum accessions, as thesse accessions were used only for pollination not for commercial purposes. The almond (P. dulcis) accessions were clustered together, as the local accessions (Adm and Hash) were near to each other. The apricot (P. armeniaca) accessions samples were clustered together at the same group. The peach (P. persica) and the nectarine (P. persica var. nucipersica) accession samples were related to each other.
Teberlet et al. [24] proposed six primers for three non-coding chloroplast regions. These primers were tested and reused as universal primers for wide range of taxonomic plant groups. These regions were latter used by many researchers to investigate the systematics and phylogentic relationships of Prunus species [18, 19, 25, 26]. Meanwhile, Uncu [27] used trnH-psbA region sucessefully to detect the fraud of apricot kernels to the almond valuable oil.
In the present study, the intergenic chloroplast regions trnLUAA-trnFGAA and trnH-psbA, which was first proposed by Teberlet et al. [24], were able to identify the different Prunus species, and were able to characterize the different accessions. The trnL-trnF region had higher values in number of polymorphic sites, number of singleton variable sites, number of parsimony informative sites, nuclotide diversity, and average number of nucleotide differences. Meanwhile, trnH-psbA had evolutionary divergence, transition/transversion bias, monomorphic sites, and sequence conservation values higher than the second region.
The two intergenic regions were able to identify only four species, and were not able to identify P. salicina species, as P. salicina species was assigned with P. domestica species. The most notable observation in the phylogentic clusters was that the African Rose European plum accession, was distantly away from the related species, near to peach species accessions. Since this accession breeding ancestors had peach parents (data not published). The Japanese plum accession (P. salicina) is less resolved here as it was assigned among the European plum species (P. domestica) accessions, it could be for the selections proceeded for this adapted old-local variety. The nectarine accession (P. persica var. nucipersica) was assigned properly with peach species (P. persica) accessions, as nectarine is a mutant strain of peach [13]. It was observe that across the three constructed phylogenetic trees that almond (P. dulcis) and peach (P. persica) is closer to each other, as it was evolutionary hybridized [28]. Bortiri et al. [25] used trnL-trnF regions to identify different Prunus species, indicated little variations because of the monophyletic divergence of Prunus. Batnini et al. [26] used trnL-trnF and trnH-psbA regions in studying the genetic diversity among different Prunus species, resulting in high variability among studied species, with higher average than our obtained results.
Conclusion/Future Perspectives
The current research constructed the phylogentic relationships of Prunus collection. This step is a cornerstone in identifying the conserved Punus germplasm, which will help in the crop development, sustainable use and impeovement of Prunus.
References
Hebert, P. D. N., Cywinska, A., Ball, S. L., & deWaard, J. R. (2003). Biological identifications through DNA barcodes. Proceedings of the Royal Society of London. Series B: Biological Sciences, 270(1512), 313–321.
Barcaccia, G., Lucchin, M., & Cassandro, M. (2015). DNA barcoding as a molecular tool to track down mislabeling and food piracy. Diversity, 8, 2.
Gregory, T. R. (2005). DNA barcoding does not compete with taxonomy. Nature, 434, 1067.
Kress, W. J., & Erickson, D. L. (2008). DNA barcodes: Genes, genomics, and bioinformatics. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 105(8), 2761–2762.
Valentini, A., Pompanon, F., & Taberlet, P. (2008). DNA barcoding for ecologist. Trends in Ecology and Evolution, 24(2), 110–117.
Kress, W. J. (2017). Plant DNA barcodes: Applications today and in the future. Journal of Systematics and Evolution, 55(4), 291–307.
Li, X., Yang, Y., Henry, R. J., Rossetto, M., Wang, Y., & Chen, S. (2015). Plant DNA barcoding: From gene to genome. Biological Reviews, 90(1), 157–166.
Li, D. Z., Gao, L. M., Li, H. T., Wang, H., Ge, X. J., Liu, J. Q., Chen, Z. D., Zhou, S. L., Chen, S. L., Yang, J. B., Fu, C. X., Zeng, C. X., Yan, H. F., Zhu, Y. J., Sun, Y. S., Chen, S. Y., Zhao, L., Wang, K., Yang, T., & Duan, G. W. (2011). Comparative analysis of a large dataset indicates that internal transcribed spacer ITS should be incorporated into the core barcode for seed plants. Proceedings of the National Academy of Sciences (PNAS), 108(49), 19641–19646.
CBOL Plant Working Group. (2009). A DNA barcode for land plants. Proceedings of the National Academy of Sciences (PNAS), 106(31), 12794–12797.
Ahmed, S. M., & Fadl, M. (2019). Investigating hybridization and variability between Ficus species in Saudi Arabia through DNA barcoding approach and morphological characters. Pakistan Journal of Botany, 51(4), 1–8.
Shi, S., Li, J., Sun, J., Yu, J., & Zhou, S. (2013). Phylogeny and classification of Prunus sensu lato (Rosaceae). Journal of Integrative Plant Biology, 55(11), 1069–1079.
Bouhadida, M., Martin, J. P., Eremin, G., Pinochet, J., Moreno, M. A., & Gogorcena, Y. (2007). Chloroplast DNA diversity in Prunus and its implication on genetic relationships. Journal of the American Society for Horticultural Science, 132(5), 670–679.
Gil, M. I., Tomas, F., Betty, B. A., Pierce, H., & Kader, A. A. (2002). Antioxidant capacities, phenolic compounds, carotenoids, and vitamin C contents of nectarine, peach, and plum cultivars from California. Journal of Agricultural and Food Chemistry, 50(17), 4976–4982.
Dirlewanger, E., Graziano, E., Joobeur, T., Garriga-Calderé, F., Cosson, P., Howad, W., & Arús, P. (2004). Comparative mapping and marker-assisted selection in Rosaceae fruit crops. Proceedings of the National Academy of Sciences (PNAS), 101(26), 9891–9896.
Sauer, J. D. (1993). Historical geography of crop plants. CRC Press.
Govindaraj, M., Vetriventhan, M., & Srinivasan, M. (2015). Importance of genetic diversity assessment in crop plants and its recent advances: An overview of its analytical perspectives. Genetics Research International, 2015, 14.
Börner, A., Khlestkina, E. K., Chebotar, S., Nagel, M., Arif, M. A., Neumann, K., Kobiljski, B., Lohwasser, U., & Röder, M. S. (2012). Molecular markers in management of ex situ PGR—A case study. Journal of Biosciences, 37(5), 871–877.
Quan, X., & Zhou, S. (2011). Molecular identification of species in Prunus sect. Persica (Rosaceae), with emphasis on evaluation of candidate barcodes for plants. Journal of Systematics and Evolution, 49(2), 138–145.
Cheong, E. J., Cho, M., Kim, S., & Kim, C. (2017). Chloroplast noncoding DNA sequences reveal genetic distinction and diversity between wild and cultivated Prunus yedoensis. Journal of the American Society for Horticultural Science, 142(6), 434–443.
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990). Basic local alignment search tool. Journal of Molecular Biology, 215(3), 403–410.
Edgar, R. C. (2004). MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research, 32(5), 1792–1797.
Tamura, K., Stecher, G., & Kumar, S. (2021). MEGA11: Molecular evolutionary genetics analysis version 11. Molecular Biology and Evolution, 38(7), 3022–3027.
Librado, P., & Rozas, J. (2009). DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 25, 1451–1452.
Taberlet, P., Gielly, L., Pautou, G., & Bouvet, J. (1991). Universal primers for amplification of three non-coding regions of chloroplast DNA. Plant Molecular Biology, 17, 1105–1109.
Bortiri, E., Oh, S., Jiang, J., Baggett, S., Granger, A., Weeks, C., Buckingham, M., Potter, D., & Parfit, D. E. (2001). Phylogeny and systematics of Prunus (Rosaceae) as determined by sequence analysis of ITS and the chloroplast trnL-trnF spacer DNA. Systematic Botany, 26(4), 797–807.
Batnini, M. A., Bourguiba, H., Trifi-Farah, N., & Krichen, L. (2019). Molecular diversity and phylogeny of Tunisian Prunus armeniaca L. by evaluating three candidate barcodes of the chloroplast genome. Scientia Horticulturae, 245, 99–106.
Uncu, A. O. (2020). A trnH-psbA barcode genotyping assay for the detection of common apricot (Prunus armeniaca L.) adulteration in almond (Prunus dulcis Mill.). CYTA—Journal of Food, 18(1), 187–194.
Palmer, J. D. (1985). Chloroplast DNA and molecular phylogeny. Bioassays, 2, 263–267.
Tamura, K. (1992). Estimation of the number of nucleotide substitutions when there are strong transition-transversionand G+C-content biases. Molecular Biology and Evolution, 9(4), 678–687.
Acknowledgements
The authors wish to thank the Science, Technology and Innovation Funding Authority (STIFA), Egypt, US Jouint (Grant No. 1119) for the financial support.
Funding
Open access funding provided by The Science, Technology and Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interests, and contributed equally.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Sayed, H.A., Mostafa, S., Haggag, I.M. et al. DNA Barcoding of Prunus Species Collection Conserved in the National Gene Bank of Egypt. Mol Biotechnol 65, 410–418 (2023). https://doi.org/10.1007/s12033-022-00530-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12033-022-00530-z