Skip to main content
Log in

Genome-wide assessment of population structure and genetic diversity of Eucalyptus urophylla based on a multi-species single-nucleotide polymorphism chip analysis

  • Original Article
  • Published:
Tree Genetics & Genomes Aims and scope Submit manuscript

A Correction to this article was published on 03 June 2020

This article has been updated

Abstract

Eucalyptus urophylla is a commercially important wood crop plantation species due to its rapid growth, biomass yield, and use as bioenergy feedstock. We characterized the genetic diversity and population structure of 332 E. urophylla individuals from 19 geographically defined E. urophylla populations with a reliability of 14,468 single-nucleotide polymorphisms (SNPs). We compared the patterns of genetic variation among these 19 populations. High levels of genetic diversity were observed throughout the 19 E. urophylla populations based on genome-wide SNP data (HE = 0.2677 to 0.3487). Analysis with STRUCTURE software, principal component analysis (PCA), and a neighbor-joining (NJ) tree indicated that E. urophylla populations could be divided into three groups, and weak population structure was observed with pairwise genetic differentiation (FST) values ranging from − 0.09 to 0.074. The low genetic diversity and shallow genetic differentiation found within the 19 populations may be a consequence of their pollination system and seed dispersal mechanism. In addition, 55 core germplasms of E. urophylla were constructed according to the genetic marker data. The genome-wide SNPs we identified will provide a valuable resource for further genetic improvement and effective use of the germplasm resources.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Change history

References

  • Butcher PA, Skinner AK, Gardiner CA (2005) Increased inbreeding and inter-species gene flow in remnant populations of the rare Eucalyptus benthamii. Conserv Genet 6:213–226

    Article  Google Scholar 

  • Catchen J, Hohenlohe P, Bassham S, Amores A, Congocongocongoesko WA (2013) Stacks: an analysis tool set for population genomics. Mol Ecol 22:3124–3140

    Article  Google Scholar 

  • Diniz-Filho JAF, Soares TN, Lima JS, Dobrovolski R, Landeiro VL, Telles MPDC, Rangel TF, Bini LM (2013) Mantel test in population genetics. Genet Mol Biol 36(4):475–485

    Article  Google Scholar 

  • Earl DA, Vonholdt BM (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Resour 4:359–361

    Article  Google Scholar 

  • Excoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and windows. Mol Ecol Resour 10:564–567

    Article  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 14:2611–2620

    Article  CAS  Google Scholar 

  • Felsenstein J (2007) PHYLIP-phylogeny inference package, version 3.2. Cladistics-the International Journal of the Willi Hennig Society 5:164–166

    Google Scholar 

  • Finkeldey R, Hattemer HH (2007) Tropical forest genetics. Springer, Berlin Heidelberg, pp 578–578

    Book  Google Scholar 

  • Gaut BS, Clegg MT (1993) Nucleotide polymorphism in the Adh1 locus of pearl millet (Pennisetum glaucum) (Poaceae). Genetics 135:1091–1097

    Article  CAS  Google Scholar 

  • Gross BL, Olsen KM (2010) Genetic perspectives on CongoCongoCongoop domestication. Trends Plant Sci 15:529–537

    Article  CAS  Google Scholar 

  • Gunn BV, Mcdonald MW. (1991) Eucalyptus urophylla seed collections. Forest genetic resources information: 34-37

  • Hübner SG, Nther T, Flavell A, Fridman E, Graner A, Korol A, Schmid KJ (2012) Islands and streams: clusters and gene flow in wild barley populations from the Levant. Mol Ecol 21:1115–1129

    Article  Google Scholar 

  • Hodge GR, Dvorak WS (2015) Provenance variation and within-provenance genetic parameters in Eucalyptus urophylla across 125 test sites in Brazil, Colombia, Mexico. South Africa and Venezuela Tree Genetics & Genomes 11

  • House APN, Bell JC (1994) Isozyme variation and mating system in Eucalyptus urophylla ST Blake. Silvae Genet 43:167–176

    Google Scholar 

  • Inc. I (2008) GenomeStudio data analysis software. Illumina

  • 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 23:1801

    Article  CAS  Google Scholar 

  • Jombart T (2008) Adegenet: a R package for the multivariate analysis of genetic markers. Bioinformatics 24:1403

    Article  CAS  Google Scholar 

  • Jones ME, Shepherd M, Henry R, Delves A (2008) Pollen flow ineucalyptus grandisdetermined by paternity analysis using microsatellite markers. Tree Genet Genomes 4(1):37–47

    Article  Google Scholar 

  • Kien ND, Jansson G, Harwood C, Thinh HH (2009) Genetic control of growth and form in Eucalyptus urophylla in northern Vietnam. J Trop For Sci 21:50–65

    Google Scholar 

  • Koptur S (1984) Outcrossing and pollinator limitation of fruit set: breeding systems of neotropical Inga trees (Fabaceae: Mimosoideae). Evolution 38:1130–1143

    Article  Google Scholar 

  • Lee TH, Guo H, Wang X, Kim C, Paterson AH (2014) Snphylo: a pipeline to construct a phylogenetic tree from huge snp data. BMC Genomics 15(1):162

    Article  Google Scholar 

  • Lischer HEL, Excoffier L (2012) PGDSpider: an automated data conversion tool for connecting population genetics and genomics programs[J]. Bioinformatics 28(2):298–299

    Article  CAS  Google Scholar 

  • Loveless MD (1992) Isozyme variation in tropical trees—patterns of genetic organization. For Sci 42:67–94

    Google Scholar 

  • Liu (2013) Study on selection of Eucalyptus Urophylla core collection resources. South china Agriculture 15–20

  • Luo J, Zhou G, Wu B, Chen D, Cao J, Lu W, Pegg RE, Arnold RJ (2010) Genetic variation and age-age correlations of Eucalyptus grandis at Dongmen forest farm in southern China. Aust Forestry 73:67–80

    Article  Google Scholar 

  • Mantel N (1967) The detection of disease clustering and generalized regression approach. Cancer Res 27:209–220

    CAS  PubMed  Google Scholar 

  • Martins IS, Pinho DDS (2006) Alternativas de índices de seleção em uma população de Eucalyptus grandis Hill ex Maiden. Cerne 12

  • Payn KG, Dvorak WS, Janse BJH, Myburg AA (2008) Microsatellite diversity and genetic structure of the commercially important tropical tree species Eucalyptus urophylla, endemic to seven islands in eastern Indonesia[J]. Tree Genet Genomes 4(3):519–530

    Article  Google Scholar 

  • Pepe B, Surata K, Suhartono F, Sipayung M, Purwanto A, Dvorak WS (2004) Conservation status of natural populations of Eucalyptus urophylla in Indonesia and international efforts to protect dwindling gene pools. For Genet Resour 31:62–64 FAO, Rome

    Google Scholar 

  • Poltri SNM, Zelener N, Traverso JR, Gelid PAND, Hopp HE (2003) Selection of a seed orchard of Eucalyptus dunnii based on genetic diversity criteria calculated using molecular markers. Tree Physiol 23:625–632

    Article  Google Scholar 

  • Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959

    Article  CAS  Google Scholar 

  • Qi SX, Wang HR, Wen YG. (2006) Applied Eucalypt cultivation in China Beijing: China Forestry Publishing House pp: 24. (in Chinese)

  • Rosenberg NA (2004) Distruct : a program for the graphical display of population structure. Mol Ecol Resour 4:137–138

    Article  Google Scholar 

  • Shattuckeidens DM, Bell RN, Neuhausen SLAND, Helentjaris T (1990) DNA sequence variation within maize and melon: observations from polymerase chain reaction amplification and direct sequencing. Genetics 126:207

    Article  CAS  Google Scholar 

  • Silva-Junior OB, Faria DA, Grattapaglia D (2015) A flexible multi-species genome-wide 60K SNP chip developed from pooled resequencing of 240 Eucalyptus tree genomes across 12 species. The New phytologist 206:1527–1540

    Article  CAS  Google Scholar 

  • Tang H, Sezen U, Paterson AH (2010) Domestication and plant genomes. Curr Opin Plant Biol 13:160–166

    Article  CAS  Google Scholar 

  • Telfer EJ, Stovold GT, Li Y, Silva-Junior, OB, Grattapaglia DG, Dungey HS (2015) Parentage reconstruction in eucalyptus nitens using snps and microsatellite markers: a comparative analysis of marker data power and robustness. PLOS ONE 10(7):1–18

  • Tripiana V, Bourgeois M, Verhaegen D, Vigneron P, Bouvet JM (2007) Combining microsatellites, growth, and adaptive traits formanaging in situ genetic resources of Eucalyptus urophylla. CanJ For Res 37:773–785

    Article  Google Scholar 

  • Turnbull JW. (2008) Development of sustainable forestry plantations in China: a review. Int For Rev: 95-96

  • Zobel B, Talbert J. (1984) Applied forest tree improvement Plant Population Genetics Breeding & Genetic Resources: 232

Download references

Acknowledgments

This work was supported by Open fund of Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agriculture University. We acknowledge funding for the work through the National Key Research and Development Program of China (Project No. 2016YFD0600501), the Planning projects for Science and Technology in Guangdong (Project No. 2015B070701009, 2016B070701008), the Innovation Project for Forestry Science and Technology in Guangdong (Project No. 2016KJCX002, 2019KJCX003). The authors would also like to thank all those who helped us find sampling sites in Indiana, Thailand, and Philippines, and all those who mailed us E. urophylla samples from Australia. We also thank the reviewers of this work for insightful and constructive feedback.

Author information

Authors and Affiliations

Authors

Contributions

Huixiao Yang, Weihua Zhang, and Wen Pan conceived and designed the experiments and drafted the manuscript; Huanqin Liao, Fang Xu, Xiaohui Yang and Bin Xu carried out the data analysis and the revised paper. All authors read and approved the manuscript

Corresponding authors

Correspondence to Huixiao Yang or Wen Pan.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Data archiving statement

The part of genotypes for Eucalyptus urophylla were loaded as supplementary material. Microarray raw datasets were uploaded to Gene Expression mnibus (http://www.ncbi.nlm.nih.ov/geo/) with accession number GSE145072.

Additional information

Communicated by D. B. Neale

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 29 kb)

ESM 2

(DOCX 35 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, H., Liao, H., Zhang, W. et al. Genome-wide assessment of population structure and genetic diversity of Eucalyptus urophylla based on a multi-species single-nucleotide polymorphism chip analysis. Tree Genetics & Genomes 16, 39 (2020). https://doi.org/10.1007/s11295-020-1422-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11295-020-1422-x

Keywords

Navigation