Assessment of genetic diversity and identification of core germplasm in single-flowered amaryllis (Hippeastrum hybridum) using SRAP markers

References

• Meerow AW. Tilting at windmills: 20 years of Hippeastrum breeding. Israel J Plant Sci. 2009;57(4):303–313.
   Web of Science ®Google Scholar
• Liu M, Yeh D. ‘T.S.S. No.1-Pink Pearl’: a double-flowered and fragrant amaryllis cultivar. HortScience. 2015;50(10):1588–1590.
   Web of Science ®Google Scholar
• Meerow AW. Breeding amaryllis. In: Callaway DJ, Callaway MB, editors. Breeding ornamental plants. Portland (OR): Timber Press; 2000. p. 174–195.
   Google Scholar
• Everett TH. The New York botanical garden illustrated encyclopedia of horticulture. New York (NY): Garland Publishing; 1980.
   Google Scholar
• Meerow AW. ‘Rio’PPAF, ‘Sampa’PPAF, and ‘Bahia’PPAF, three new triploid amaryllis cultivars. HortScience. 2000;35(1):147–149.
   Web of Science ®Google Scholar
• Nadeem MA, Nawaz MA, Shahid MQ, et al. DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing. Biotechnol Biotechnol Equip. 2018; 32(2):261–285.
   Web of Science ®Google Scholar
• Phuong PTM, Isshiki S, Miyajima I. Genetic variation of Hippeastrum accessions in Vietnam. J Fac Agr Kyushu U. 2014;59(2):235–241.
   Web of Science ®Google Scholar
• Chakrabarty D, Gupta VN, Datta SK. Varietal identification and assessment of genetic relationships in Hippeastrum using RAPD markers. Plant Biotechnol Rep. 2007;1(4):211–217.
   Web of Science ®Google Scholar
• Zhang L, Xu YC, Cheng HZ, et al. Genetic relationship analysis and fingerprint construction of 62 cultivars of Hippeastrum spp. based on ISSR marker. J Plant Resour Environ. 2012;21(4):48–54.
   Google Scholar
• Wang Y, Chen DF, He XF, et al. Revealing the complex genetic structure of cultivated amaryllis (Hippeastrum hybridum) using transcriptome-derived microsatellite markers. Sci Rep. 2018;8(1):10645.
   PubMed Web of Science ®Google Scholar
• Li G, Quiros CF. Sequence-related amplified polymorphism (SRAP), a new marker system based on a simple PCR reaction: its application to mapping and gene tagging in Brassica. Theor Appl Genet. 2001;103(2/3):455–461.
   Web of Science ®Google Scholar
• Zagorcheva T, Stanev S, Rusanov K, et al. SRAP markers for genetic diversity assessment of lavender (Lavandula angustifolia mill.) varieties and breeding lines. Biotechnol Biotechnol Equip. 2020;34(1):303–308.
   Web of Science ®Google Scholar
• Engelmann F, Dulloo ME, Astorga C, et al., editors. Complementary strategies for ex situ conservation of coffee (Coffea arabica L.) genetic resources. A case study in CATIE, Costa Rica. Topical reviews in agricultural biodiversity. Rome, Italy: Diversity International; 2007. p. 63.
   Google Scholar
• Wei ZZ, Sun ZZ, Cui BB, et al. Transcriptome analysis of colored calla lily (Zantedeschia rehmannii Engl.) by Illumina sequencing: de novo assembly, annotation and EST-SSR marker development. PeerJ. 2016;4(1):e2378.
   PubMed Web of Science ®Google Scholar
• Wei ZZ, Zhang HL, Wang Y, et al. Assessing genetic diversity and population differentiation of colored calla lily (Zantedeschia hybrid) for an efficient breeding program. Genes. 2017;8(6):168.
   Web of Science ®Google Scholar
• Yeh FC, Yang RC, Boyle TJB, et al. POPGENE, the user-friendly shareware for population genetic analysis. Edmonton, Canada: Molecular Biology and Biotechnology Centre, University of Alberta; 1997. Available from: http://www.ualberta.ca/∼fyeh/index.htm
   Google Scholar
• Liu KJ, Muse SV. PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics. 2005;21(9):2128–2129.
   PubMed Web of Science ®Google Scholar
• Tamura K, Dudley J, Nei M, et al. MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol. 2007;24(8):1596–1599.
   PubMed Web of Science ®Google Scholar
• Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155(2):945–959.
   PubMed Web of Science ®Google Scholar
• Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005;14(8):2611–2620.
   PubMed Web of Science ®Google Scholar
• Peakall R, Smouse PE. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes. 2006;6(1):288–295.
   Web of Science ®Google Scholar
• Kim KW, Chung HK, Cho GT, et al. PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets. Bioinformatics. 2007;23(16):2155–2162.
   PubMed Web of Science ®Google Scholar
• Hammer Ø, Harper DAT, Ryan PD. PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron. 2001;4(1):9.
   Google Scholar
• Clarke KR. Non-parametric multivariate analysis of changes in community structure. Austral Ecol. 1993;18(1):117–143.
   Web of Science ®Google Scholar
• Ferriol M, Pico B, Nuez F. Genetic diversity of a germplasm collection of Cucurbita pepo using SRAP and AFLP markers. Theor Appl Genet. 2003;107(2):271–282.
   PubMed Web of Science ®Google Scholar
• Bell WD. New potentials in amaryllis breeding. Proc Fla State Hortic Soc. 1973;86(1):462–466.
   Google Scholar
• Bell WD. The role of triploids in Amaryllis hybridization. Plant Life. 1973;29(1–4):59–61.
   Google Scholar
• Shields JE. The ancestors of the amaryllis. Amaryllis Bull. 1979;1(1–6):2–6.
   Google Scholar
• Barnhoorn F. Cultivars of Hippeastrum: their evolution from the past and their development for the future. Herbertia. 1991;47(1/2):76–79.
   Google Scholar
• Frankel OH, Brown AHD. Plant genetic resources today: a critical appraisal. In: Holden JHW, Williams JT, editors. Crop genetic resources: conservation and evaluation. London: Allen & Unwin Ltd; 1984. p. 249–257.
   Google Scholar
• Agrama HA, Yan WG, Lee F, et al. Genetic assessment of a mini-core subset developed from the USDA Rice Genebank. Crop Sci. 2009;49(4):1336–1346.
   Web of Science ®Google Scholar
• Rao ES, Palchamy K, Symonds RC, et al. Using SSR markers to map genetic diversity and population structure of Solanum pimpinellifolium for development of a core collection. Plant Genet Res. 2012;10(1):38–48.
   Web of Science ®Google Scholar