Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers

References

• Ahn JY, Hong KN, Lee JW, Yang BH. 2013. Population genetic variation of Ulmus davidiana var. japonica in South Korea based on ISSR markers. J Korean Forest Soc. 102(4):560–565.
   Google Scholar
• Ahn JY, Hong KN, Baek SH, Lee MW, Lim HY, Lee JW. 2016. Genetic diversity and genetic structure of Acer pseudosieboldianum populations in South Korea based on AFLP markers. J Korean For Soc. 105(04):414–421.
   Google Scholar
• Ahn JY, Lee JW, Lee MW, Hong KN. 2019. Genetic diversity and structure of Carpinus laxiflora populations in South Korea based on AFLP markers. J Forest Sci Technol. 15(4):192–201.
   Web of Science ®Google Scholar
• Baliuckas V, Lagerström T, Norell L, Eriksson G. 2015. Genetic variation among and within populations in Swedish species of Sorbus aucuparia L. and Prunus padus L. assessed in Nursery Trial. Silvae Genet. 54(1–6):1–8.
   Google Scholar
• Chin S-W, Shaw J, Haberle R, Wen J, Potter D. 2014. Diversification of almonds, peaches, plums and cherries – molecular systematics and biogeographic history of Prunus (Rosaceae). Mol Phylogenet Evol. 76:34–48.
   PubMed Web of Science ®Google Scholar
• Cho KJ, Jeong JM, Kim YY, Kim YM, Hong YP. 2002. Genetic diversity in the natural populations of Korean endermic tree species, Fraxinus chiisanensis Nakai (Oleaceae). Proceedings of Korean Forest Society; p. 99–101.
   Google Scholar
• Choi JH, Cha DS, Jeon H. 2012. Anti-inflammatory and anti-nociceptive properties of Prunus padus. J Ethnopharmacol. 144(2):379–386.
   PubMed Web of Science ®Google Scholar
• Cottrell JE, Vaughan SP, Connolly T, Sing L, Moodley DJ, Russell K. 2009. Contemporary pollen flow, characterization of the maternal ecological neighbourhood and mating patterns in wild cherry (Prunus avium L.). Heredity (Edinb). 103(2):118–128.
   PubMed Web of Science ®Google Scholar
• Deiller AF, Walter JMN, Trémolières M. 2003. Regeneration strategies in a temperate hardwood floodplain forest of the Upper Rhine: sexual versus vegetative reproduction of woody species. For Ecol Manage. 180(1–3):215–225.
   Web of Science ®Google Scholar
• Donno D, Mellano MG, Biaggi MD, Riondato I, Rakotoniaina EN, Beccaro GL. 2018. New findings in Prunus padus L. fruits as a source of natural compounds: characterization of metabolite profiles and preliminary evaluation of antioxidant activity. Molecules. 23(4):718–725.
   Web of Science ®Google Scholar
• Earl DA, vonHoldt BM. 2012. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genet Resour. 4(2):359–361.
   Web of Science ®Google Scholar
• Evanno G, Regnaut S, Goudet J. 2005. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 14(8):2611–2620.
   PubMed Web of Science ®Google Scholar
• Felsenstein J. 2013. PHYLIP (Phylogeny Inference Package) v3.695. Seattle, USA: Department of Genome Sciences and Department of Biology University of Washington.
   Google Scholar
• Foll M, Beaumont MA, Gaggiotti O. 2008. An Approximate Bayesian Computation approach to overcome biases that arise when using amplified fragment length polymorphism markers to study population structure. Genet. 179(2):927–939.
   PubMed Web of Science ®Google Scholar
• García C, Arroy JM, Godoy JA, Jordano P. 2005. Mating patterns, pollen dispersal, and the ecological maternal neighborhood in a Prunus mahaleb L. population. Mol Ecol. (6)14:1821–1840.
   PubMed Web of Science ®Google Scholar
• Han BH, Lee KJ, Choi JW, Yeom JH. 2014. Characteristics of vegetation distribution according to the growth environment of Odaesan (Mt.) National Park. Proc Korean Soc Environ Ecol. 24(1):21–22.
   Google Scholar
• Holsinger KE, Lewis PO, Dey DK. 2002. A Bayesian approach to inferring population structure from dominant markers. Mol Ecol. 11(7):1157–1164.
   PubMed Web of Science ®Google Scholar
• Hwang D, Kim H, Shin H, Jeong H, Kim J, Kim D. 2014. Cosmetic effects of Prunus padus bark extract. Korean J Chem Eng. 31(12):2280–2285.
   Web of Science ®Google Scholar
• Jakobsson M, Rosenberg NA. 2007. CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics. 23(14):1801–1806.
   PubMed Web of Science ®Google Scholar
• Jang GS, Son DC, Lee DH, Choi K, Oh SH. 2017. Checklist of vascular plants in Korea. Pocheon: Korea National Arboretum; p. 243.
   Google Scholar
• Jang JH, Han BH, Choi TY, Lee KJ. 2013. Plant community structure and change of Pinus densiflora S. et Z. forest for twentytwo years (1988∼2010) in Yongmun sa (Temple) vally, Yangpyeong gun, South Korea. Korean J Environ Ecol. 27(3):369–380.
   Google Scholar
• Jolivet C, Rogge M, Degen B. 2013. Molecular and quantitative signatures of biparental inbreeding depression in the self-incompatible tree species Prunus avium. Heredity (Edinb). 110(5):439–448.
   PubMed Web of Science ®Google Scholar
• Jordano P, Godoy JA. 2000. RAPD variation and population genetic structure in Prunus mahaleb (Rosaceae), an animal-dispersed tree. Mol Ecol. 9(9):1293–1305.
   PubMed Web of Science ®Google Scholar
• Jung YH, Ko MH, Oh YS, Kim GO, Chung YC, Kim MH, Oh MY. 1997. Phylogenetic relationship among selected Taxa of Prunus in Mt. Halla and cultivated Prunus yedoensis by the RAPD analysis. Korean J Pl Taxon. 27(4):415–428.
   Google Scholar
• Kalkman C. 1965. The old world species of Prunus subg. Laurocerasus including those formerly referred to Pygeum. BLUMEA. XIII(I):20.
   Google Scholar
• Kato S, Iwata H, Tsumura Y, Mukai Y. 2011. Genetic structure of island populations of Prunus lannesiana var. speciosa revealed by chloroplast DNA, AFLP and nuclear SSR loci analyses. J Plant Res. 124(1):11–23.
   PubMed Web of Science ®Google Scholar
• Korea Biodiversity Information System. 2020. [accessed 2020 March 10]. http://www.nature.go.kr.
   Google Scholar
• Ko SC, Shin YH. 2009. Flora of middle part in Gyeonggi Province. Korean J Plant Res. 22(1):49–70.
   Google Scholar
• Kumar A, Misra P, Dube A. 2013. Amplified fragment length polymorphism: an adept technique for genome mapping, genetic differentiation, and intraspecific variation in protozoan parasites. Parasitol Res. 112(2):457–466.
   PubMed Web of Science ®Google Scholar
• Kucharska AZ, Oszmiański J. 2002. Anthocyanins in fruits of Prunus padus (bird cherry). J Sci Food Agric. (13)82:1483–1486.
   Web of Science ®Google Scholar
• Lee SH, Kim JY, Oh KC, Yang DY, Ryu EY, Oh KJ. 2006. Late Pleistocene paleoenvironments of the Poonggi-dong area, Asan, inferred from pollen analysis. J Geo Soc Korea. 42(1):57–68.
   Google Scholar
• Lee JW, Hong KN, Kang JT. 2014. Genetic diversity and genetic structure of Phellodendron amurense populations in South Korea. J Korean Forest Soc. 103(1):51–58.
   Google Scholar
• Li M, Zhao Z, Miao X, Zhou J. 2013. Genetic diversity and population structure of Siberian apricot (Prunus sibirica L.) in China. Int J Mol Sci. 15(1):377–400.
   PubMed Web of Science ®Google Scholar
• Li MM, Cai YL, Qian ZQ, Zhao GF. 2009. Genetic diversity and differentiation in Chinese sour cherry Prunus pseudocerasus Lindl., and its implications for conservation. Genet Resour Crop Evol. 56(4):455–464.
   Web of Science ®Google Scholar
• Li T, Liu J, Xie Y, Wang Q, Meng F. 2014. Analysis of genetic diversity in Prunus mira Koehne ex Sargent populations using AFLP markers. Plant Syst Evol. 300(3):475–482.
   Web of Science ®Google Scholar
• Liu XL, Wen J, Nie ZL, Johnson G, Liang ZS, Chang ZY. 2013. Polyphyly of the Padus group of Prunus (Rosaceae) and the evolution of biogeographic disjunctions between eastern Asia and eastern North America. J Plant Res. 126(3):351–361.
   PubMed Web of Science ®Google Scholar
• López-Almansa JC. 2004. Review. Reproductive ecology of riparian elms. Sist Recur For. 13(1):17–27.
   Google Scholar
• Lynch M, Milligan B. 1994. Analysis of population genetic structure with RAPD markers. Mol Ecol. 3(2):91–99.
   PubMed Web of Science ®Google Scholar
• Magiera A, Marchelak A, Michel P, Owczarek A, Olszewska MA. 2019. Lipophilic extracts from leaves, inflorescences and fruits of Prunus padus L. as potential sources of corosolic, ursolic and oleanolic acids with anti-inflammatory activity. Nat Prod Res. DOI:10.1080/14786419.2019.1666385.
   PubMed Web of Science ®Google Scholar
• Mba C, Tohme J. 2005. Use of AFLP markers in surveys of plant diversity. Meth Enzymol. 395:177–201.
   PubMed Web of Science ®Google Scholar
• Myking T. 2002. Evaluating genetic resources of forest trees by means of life history traits – a Norwegian example. Biodivers Conserv. 11(9):1681–1696.
   Web of Science ®Google Scholar
• Na DS, Yang MC, Lee KH, Lee KR. 2006. Cerebrosides and phenolic constituents of Prunus padus L. Korean J Pharmacogn. 37(3):125–129.
   Google Scholar
• Peakall R, Smouse PE. 2006. GENEALEX 6: genetic analysis in Excel. population genetic software for teaching and research. Mol Ecol Notes. 6(1):288–295.
   Web of Science ®Google Scholar
• Potter D. 2013. Prunus. wild Crop relatives: genomic and breeding resources. Berlin Heidelberg: Springer-Verlag; p. 129–145.
   Google Scholar
• Pritchard JK, Stephens M, Donnelly P. 2000. Inference of population structure using multilocus genotype data. Genet. 155:945–959.
   PubMed Web of Science ®Google Scholar
• Rehder A. 1940. A manual of cultivated trees and shrubs hardy in North America exclusive of the subtropical temperate region. 2nd ed. New York: Macmillan; 451–478.
   Google Scholar
• Reisch C, Bernhardt-Römermann M. 2014. The impact of study design and life history traits on genetic variation of plants determined with AFLPs. Plant Ecol. 215(12):1493–1511.
   Web of Science ®Google Scholar
• Rosenberg NA. 2004. Distruct: a program for the graphical display of population structure. Mol Ecol Notes. 4(1):137–138.
   Web of Science ®Google Scholar
• Simon J, Blanché C. 2016. Karyological knowledge of the Catalan vascular flora inferred from “CromoCat” database; [accessed 2020 July 2]. http://biodiver.bio.ub.es/biocat/index.jsp#pas4.
   Google Scholar
• Tournefort JP. 1700. Institutiones rei herbariae. Parisiis: E Typographia Regia; 622–623.
   Google Scholar
• Uusitalo M. 2004. European bird cherry (Prunus padus L.) – a biodiverse wild plant for horticulture. Finland: MTT Agrifood Research Finland; p. 82.
   Google Scholar
• Vekemans X. 2002. AFLP-SURV 1.0: A program for genetic diversity analysis with AFLP (and RAPD) population data. Laboratoire de Génétique et d’Ecologie Végétales, Université Libre de Bruxelles. [accessed 2019 Dec 23]. http://www.ulb.ac.be/sciences/lagev/aflp-survhtml.
   Google Scholar
• Volkova PA, Burlakov YA, Schanzer IA. 2020. Genetic variability of Prunus padus (Rosaceae) elaborates “a new Eurasian phylogeographical paradigm. Plant Syst Evol. (1)306:1–9.
   Web of Science ®Google Scholar
• Wang Z, Kang M, Liu H, Gao J, Zhang Z, Li Y, Wu R, Pang X. 2014. High-level genetic diversity and complex population structure of Siberian apricot (Prunus sibirica L.) in China as revealed by nuclear SSR markers. PLoS One. 9(2):e87381.
   PubMed Web of Science ®Google Scholar
• Yang BH, Han SD, Koo YB, Park YG. 2006. Genetic variation in the natural populations Korean stewartia (Stewartia koreana Nakai) based on I-SSR analysis. Korean J Plant Resour. 19(1):189–195.
   Google Scholar
• Zhivotovsky LA. 1999. Estimating population structure in diploids with multilocus dominant DNA markers. Mol Ecol. 8(6):907–913.
   PubMed Web of Science ®Google Scholar