Introduction

Simple sequence repeats (SSRs), or microsatellites, are arrays of short motifs 1–6 base pairs long. They are abundantly and uniformly distributed throughout the eukaryotic genome and inherited codominantly. They can provide multiple allelic, highly informative content, with good reproducibility and are easy to manipulate (Tautz 1989; Powell et al. 1996; Gupta and Varshney 2000). The number of repetitions in SSRs varies greatly, and they are rich in polymorphisms. Because they can be assayed relatively quickly with low technical difficulty and cost, SSR markers have found wide application in genetic analyses of Eucalyptus species and genotypes, including for fingerprinting, genetic mapping, genetic diversity assessment, genetic structure analyses and molecular marker assisted selection (MAS) (Bradbury et al. 2013; Zhang et al. 2013; Liu and Xie 2012; Maria et al. 2011; Zhou 2011; Kengavanar et al. 2011; Shanmugapriya et al. 2011; He 2010; Wang 2009).

SSR markers are generally classified into two categories: genomic SSRs (gSSR) and expressed sequence tag SSRs, (EST-SSRs or eSSRs). Genomic SSRs are based on the genome sequences, and EST-SSRs exist in the expressed gene sequences (Xu et al. 2014; Zhang et al. 2011). EST-SSRs have a higher transferability among closely related species (Varshney et al. 2005), and the methods for their development are relatively simple and of lower cost in comparison to genomic SSRs. The latter come from the noncoding sequences in the genome, and they have higher degrees of polymorphism. With the discoveries of control functions of some “noncoding sequences”, gSSRs have significant potential to be linked to genomic sequences influencing phenotypic traits of importance.

At present, the public database GenBank (http://www.ncbi.nlm.nih.gov/genbank/) has published a large number of Eucalyptus genomes, EST sequences of Eucalyptus, and the complete genome sequence of Eucalyptus grandis (http://www.phytozome.net/cgi-bin/gbrowse/eucalyptus/) (Myburg et al. 2014; DOE 2008). This database provides direct access to genome sequences and EST sequences that can be used to develop Eucalyptus SSR markers. Over the past 20 years, many articles about development of SSR markers of Eucalyptus have been published worldwide. For example, Steane et al. (2001) developed 12 E. globulus microsatellite loci for fingerprinting and future studies in genome mapping, gene flow and genetic diversity; Wang (2009) developed 185 pairs of EST-SSR primers to construct genetic maps in Eucalyptus; He (2010) developed 206 EST-SSR markers and used 90 genomic-SSR markers to evaluate genetic variation among 20 different genotypes of Eucalyptus; Zhou (2011) developed 295 EST-SSR markers based on pool-cloning sequencing of PCR products; and Kengavanar et al. (2011) developed 179 orthologous genic SSR markers in E. camaldulensis.

In contrast, comprehensive studies about developing genomic SSRs and EST SSRs have rarely been published. Yang et al. (2011) developed 37 pairs of SSR primers based on an EST library and 95 pairs based on a genomic library; Zhang et al. (2011) explored genetic differences between genomic SSRs and EST SSRs in 15 species of Poplar with 48 pairs of genomic SSR primers and 48 pairs of EST SSR primers; Ding et al. (2015) explored genetic differences between genomic SSR and EST SSR in 12 species of Stylosanthes using 20 pairs of genomic SSR primers and 20 pairs of EST SSR primers; and Wen et al. (2010) developed 20 genomic SSRs and 36 EST SSRs to analyze the genetic diversity among 45 Jatropha curcas accessions.

The research reported here was aimed at developing genomic SSRs and EST SSRs of Eucalyptus by detecting and analyzing SSR and EST sequences in the genomes of Eucalyptus species and screening the effectiveness of primers. PhyML3.0 software was then used to construct a maximum likelihood phylogentic tree for six accessions of eucalypts, represented by five species of the genus Eucalyptus and one of the genus Corymbia. The results will provide resources and theoretical foundations for evaluating the genetic diversity and phylogenetics of eucalypts by SSR markers.

Materials and methods

Plant material and DNA isolation

DNA samples were obtained from five species of Eucalyptus subgenus Symphyomyrtus and one species of Corymbia (Table 1). The taxonomy of samples was based on the classifications of Pryor and Johnson (1971) and Hill and Johnson (1995).

Table 1 Information on Eucalyptus and Corymbia species used in this study

Total genomic DNA was extracted from fresh leaves with DNeasy Plant Mini Kit (QIAGEN, Germany). The quantity of DNA was checked on 1.5% agrose gels and determined using a Nanodrop nucleic acid-protein analyzer. The DNA templates constituted a genomic DNA pool, obtained by combining the DNA from the five accessions of Eucalyptus species and one Corymbia species.

SSR mining and primer design

A total of 45,557 sequences of Eucalyptus were obtained from GenBank (http://www.ncbi.nlm.nih.gov/genbank/), including 28,691 genome sequences and 16,566 EST sequences of Eucalyptus. These sequences were checked to remove redundancies, and then assembled and clustered using DNAStar 7.1 software (http://www.dnastar.com/). Next, the sequences were searched for the presence of SSR repeats using SSRHunter 1.03 software (http://en.bio-soft.net/dna/SSRHunter.html). For SSR identification, a criterion of a minimum length of 18 bases was adopted.

PCR primer pairs flanking the SSR repeats were designed using software Primer 5.0 (http://www.premierbiosoft.com/). For designing PCR primers, the length ranged from 18- to 25-mer, and the optimum annealing temperature ranged from 50 to 60 °C, the optimum GC content was 40–60%, and the rest of the parameters were set at default values. And these primers were checked with Oligo 6.0 software (http://oligo.net/). The primers were then synthesized by Invitrogen Trading (Shanghai).

SSR analysis

The SSRs were classified based on the length of the SSR motifs in their sequences. The different repeats of the SSR motifs and the frequencies of SSR motifs were used to analyse the characteristics of the SSRs. The types of SSR motifs were analysed to evaluate the specificity of SSRs in Eucalyptus.

SSR screening

To obtain SSR-PCR products with higher specificities and more stable rates, the SSR-PCR conditions for primer screening were optimized by adjusting Mg2+ concentration and the annealing temperature (Tm). The PCR system and PCR program used followed methodologies described by Li et al. (2010): Mg2+ concentration was set to 1.5, 2.0, 2.5 mmol L−1, and annealing temperature (Tm) were set to 50, 56 and 60 °C. After the optimum Mg2+ concentration and annealing temperature were determined, effective primers that yielded good PCR results were reserved at each round, and ineffective primers that did not yield ideal products were discarded.

PCR was performed in a volume of 20 μL, containing genomic DNA (about 100 ng), 0.1 μM of each primer, Taq DNA polymerase (2 U), 0.2 mM of each dNTP, MgCl2 (1.5, 2.0 or 2.5 mM). The PCR profile consisted of denaturing the template DNA at 94 °C for 4 min., followed by 35 cycles, each at 94 °C for 30 s, 50, 56 or 60 °C for 30 s, and 72 °C for 1 min, followed by 72 °C for 10 min. The PCR products were separated by electrophoresis in 1.5% agarose.

Statistical analyses

Data for length of SSRs, the numbers of repeats, the frequencies of SSRs, and the SSRs types, were collated and statistics analyzed using Excel 2010 software (Microsoft, WA, USA).

Phylogenetic analyses

Phylogenetic analyses to examine the genetic relationships of the five Eucalyptus and one Corymbia species were conducted using maximum likelihood and 1000 times bootstrapping was used to statistically support the groups using PhyML 3.0 software. The SSR-PCR sequences of six species were presented using the tree-figure drawing tool FigTree version 3.0 from the output file of PhyML 3.0. Information on the morphological features of Eucalyptus in China is from Qi (2002) and was compared with the results of phylogenetic analyses.

Results

Characterization of SSRs in Eucalyptus genome sequences and EST sequences of Eucalyptus

Statistics on the 45,257 DNA sequences from Eucalyptus downloaded from GenBank are presented in Table 2. The genomic sequences included 13,373 from E. camaldulensis, 1206 from E. globulus, 5751 from E. grandis, 7803 from E. gunnii, 265 from E. nitens and 293 from E. urophylla. The EST sequences included 588 from E. globulus and 16,008 from E. grandis. After removing redundancies, 14,121 contigs were obtained and 1785 effective sequences detected that contained SSRs, accounting for 12.6% of the total contigs. The effective Eucalyptus sequences obtained consisted of 820 EST sequences and 965 genome sequences.

Table 2 Statistics for SSRs generated from Eucalyptus species

The frequencies of different nucleotide repeat motifs in the SSRs contained within the Eucalyptus DNA sequences obtained from the GenBank database are shown in Fig. 1. Frequencies of motifs varied greatly; dinucleotide SSRs were the most common (44.5% of total), followed by trinucleotide SSRs (32.9%). The proportion of tetranucleotide and pentanucleotide SSRs were relatively low (3.2 and 2.8% of total, respectively).

Fig. 1
figure 1

Frequencies of different nucleotide repeat motifs in the SSRs

In the analysis conducted with SSRHunter software, 435 SSR repeat motifs were found among the 2292 SSRs obtained. Of these SSR repeat motifs, 12 were dinucleotides, 50 were trinucleotides, 51 were tetranucleotides, 54 were pentanucleotides and 268 were hexanucleotides.

Among the repeat motifs, CT/GA, TC/AG repeat motifs were the most common of the di-nucleotide types, occurring in 21.3 and 20.7% of SSRs, respectively. The same repeat motifs also accounted for 94.3% of all the dinucleotide repeat motifs obtained. In contrast, CG/GC repeat motifs accounted for only 0.4% of the dinucleotide repeat motifs. The CGG/GCC, CCG/CGG repeat motifs were the highest frequency trinucleotide repeat motifs, and occurred in 4.3%, 3.9% of the SSRs, respectively.

Among the genome sequences and EST sequences of Eucalyptus, the repeat numbers varied from 3 to 50. Repeat numbers of 3–9 were predominant in the SSRs, totalling 1382 or 60.3% of the total SSRs. Repeat numbers of 10–20 accounted for 768 or 33.5% of the total number of SSRs, repeat numbers of 21–30 accounted for 130 or 5.7% of SSRs, whilst repeat number of 31–40 and more than 40 were accounted for just 10 (0.4%) and 2 (0.1%) of the SSRs, respectively (Fig. 2). From the SSR repeat motifs analyzed, 532 or 52.1% of the di-nucleotide repeat motifs occurred between repeat numbers of 10–15. Of the other repeat motifs, most were concentrated in among the 3–9 motif repeats, including 691 or 91.5% of trinucleotide repeat motifs, 72 or 98.6% tetranucleotide repeat motifs, 65 or 100% of pentanucleotide repeat motifs and 376 or 99.5% of hexanucleotide repeat motifs.

Fig. 2
figure 2

Frequency distributions of SSR repeats

The characterization of SSRs in genome sequences and EST sequences of Eucalyptus are presented in Table 3. Dinucleotide repeat motifs occurred at higher frequency in the genome sequences (48 repeat motifs), than in EST sequences (20 repeat motifs) of Eucalyptus. In contrast, the frequency of trinucleotide repeat motifs was higher in the Eucalyptus genome sequences (29 repeat motifs) than in the EST sequences (13 repeat motifs), as were the frequencies of both tetranucleotide and hexanucleotide repeat motifs.

Table 3 Information on SSR motifs in Eucalyptus

The number of SSRs in repeat motifs of different nucleotide lengths seemed to be negatively correlated with the length of the repeat motifs; the SSRs with longer lengths of nucleotide repeat motifs had lower frequencies of nucleotide repeat motifs in Eucalyptus genome sequences. However, the frequencies of tri-nucleotide repeat motifs were higher than other nucleotide repeat motifs in EST sequences of Eucalyptus.

In Table 4, the 970 SSRs found in the Eucalyptus EST sequences accounted ig for 42.3% of the total SSRs, and 1322 SSRs were found in the Eucalyptus genome sequences, accounting for 57.7% of the total SSRs. The number of dinucleotide, tetranucleotide and pentanucleotide repeat motifs found in the Eucalyptus genome sequences exceeded the number found in the EST sequences of Eucalyptus. In contrast, more tri- and hexanucleotide repeat motifs were found in Eucalyptus EST sequences than in Eucalyptus genome sequences. Dinucleotide repeat motifs were predominant in Eucalyptus genome sequences, accounting for 54.8% of total SSRs, and the frequency of trinucleotide repeat motifs was highest among the EST sequences of Eucalyptus, accounting for 42.5% of the total SSRs.

Table 4 Characterization of SSRs in Eucalyptus genome sequences and EST sequences of Eucalyptus

SSR primer design

After primer design and verification, a total of 395 SSR primers were synthesized for use in subsequent analyses. These included 150 pairs of EST-SSR (eSSR) primers, of which nine pairs were designed using EST sequences of E. globulus, and 141 pairs were designed using EST sequences of E. grandis. The 245 pairs of genomic-SSR (gSSR) designed included 168 pairs, which were designed using genome sequences of E. grandis, 13 pairs designed using genome sequences of E. globulus, 17 pairs designed using genome sequences of E. camaldulensis, 36 pairs designed using genome sequences of E. gunnii, and 11 pairs designed using genome sequences of E. urophylla. The length of primers varied from 18 to 22 bp, and the length of target fragments varied from 200 to 500 bp. Selection details for these SSR primers are presented in Table 5.

Table 5 Basic information for five pairs of SSR primers

Screening for effective SSR primers of Eucalyptus

The DNA templates were from a mixed genomic DNA pool obtained by combining the DNA from the five Eucalyptus and one Corymbia species sampled (see Table 1). After nine rounds of screening by optimizing the PCR conditions, 340 pairs of primers successfully amplified the target fragments with a success ratio up to 86.1%; 136 pairs of effective primers were screened from 150 pairs of eSSR primers, with a success ratio of 90.7%; 204 pairs of effective primers were screened from 245 pairs of gSSR primers, with a success ratio of 83.3%. Some of the results from screening partial eSSR and gSSR primers are shown in Figs. 3 and 4 respectively.

Fig. 3
figure 3

Fast screening result of partial eSSR primers. Lanes 1, 2, 3, 4, 7, 8, 10, 11, 12, 14, 15, 16, 18, 20 lane have bands that indicate successfully screens of primers

Fig. 4
figure 4

Fast screening result of partial gSSR primers. Lanes 2, 5, 6, 9, 11, 13, 15, 17, 18, 20 have bands that indicate successful screens of primers

Results from primer screening are presented in Table 6. From among the nine rounds of primer screening, an annealing temperature of 56 °C with 2.0 or 2.5 mmol L−1 Mg2+of provided the highest success ratios. The maximum eSSR primer success ratio was 56.0%, achieved with an annealing temperature of 56 °C and 2.5 mmol L−1 Mg2+, while the maximum gSSR primer success ratio was 51.4%, which was achieved at the same annealing temperature but with 2.0 mmol L−1 Mg2+.

Table 6 Results of primer screening

Phylogenetic analysis using SSR-PCR sequences

To assess the genetic relationships of the six accessions (five Eucalyptus and one Corymbia species), data from five pairs of effective SSR primers that had good stability, strong signals and high polymorphisms were analysed. This analysis generated a maximum likelihood phylogenetic tree based on five combined ampliconic sequences of the six species; see Fig. 5.

Fig. 5
figure 5

Combined ML phylogenetic analysis of Eucalyptus (including 1 Corymbia species) using 5 combined sequences. Numbers on branch points represent the percentage of 1000 bootstraps by heuristic searching

The results of combined-ML phylogenetic analyses revealed that C. citriodora had a greater genetic distance from the other five species, consistent with morphological taxonomy. Based on this analysis, the kinship of E. camaldulensis and E. pellita is somewhat closer, while E. tereticornis and E. urophylla had the closest genetic relationship of all the species examined. These results differed somewhat from what was expected based on the taxonomy of these species described by both Pryor and Johnson (1971) and Hill and Johnson (1995).

Further analyses using the six pairs of SSR primers in the five Eucalyptus species (the primer of gSSR-GU023 had no ampliconic sequence in C. citriodora) examined the genetic relationships among only species of subgenus Symphyomyrtus (Fig. 6). The combined ML phylogenetic tree of these species shows that E. pellita, E. camaldulensis and E. grandis had a relatively close genetic relationship, while the shortest genetic distance with this group of five species was between E. tereticornis and E. urophylla. This latter result concurs with the combined ML phylogenetic tree developed from data using the five pairs of SSR primers for the six eucalypt species (Fig. 5).

Fig. 6
figure 6

Combined ML phylogenetic analysis of the five Eucalyptus species using the six combined sequences. Numbers on branch points represent the percentage of 1000 bootstraps by heuristic searching

Discussion

Characterization of SSRs in Eucalyptus

Among 14,141 contigs assembled from 45,257 genome and EST sequences of Eucalyptus, 1785 SSRs (12.6%) were detected. This frequency is consistent with results obtained by Ellis and Burke (2007) and Yasodha et al. (2008) who obtained frequencies of 12.3 and 12.9% respectively. However, He (2010) reported a somewhat higher frequency of SSRs, 25.3%, in EST sequences of Eucalyptus, and Zhou (2011) reported a frequency of SSRs of 21.7% in 36,029 unigenes assembled from EST sequences of Eucalyptus. Similarly, Rabello et al. (2005) and Ceresini et al. (2005) reported frequencies of SSRs in Eucalyptus of 25.5 and 25.6%, respectively.

Dinucleotide repeat motifs are generally the most common types of repeat motifs in dicotyledons, and trinucleotide repeat motifs are most common in graminaceous plants (Biet et al. 1999). In this current study, dinucleotide and trinucleotide repeat motifs were found to be the most frequent in Eucalyptus, accounting for 44.4 and 32.8%,respectively, of the total repeat motifs. The tetranucleotide and pentanucleotide repeat motifs accounted for only 3.2 and 2.8%, respectively. These results agreed closely with those of He (2010), Li (2010) and Zhou (2011), who also examined frequencies of SSRs in EST sequences of Eucalyptus.

Previous research has shown that the formation of SSR loci might be associated with DNA replication slippage, alternation of nucleic acids and unbalanced recombination (Tóth et al. 2000; Ma et al. 2015). The combinations of CA, GA, and GT in SSR repeat motifs could affect DNA recombination by impacting the DNA structure (Biet et al. 1999). Therefore, the composition of nucleotides in SSRs can affect the activities of life, and hence analyses of the structure of motifs and distributions of SSRs can be of great importance. In this current study, the repeat motifs of AG/TC and GA/CT accounted for the vast majority (94.3%) of dinucleotide repeat motifs, and CCG/CGG repeat motifs were the most common (16.4%) trinucleotide repeat motifs. These results are in perfect agreement with the results of other studies in Eucalyptus (Zhou 2011; Yasodha et al. 2008).

EST-SSR primers come from the expressed gene conservative region (Ding et al. 2015). Numerous studies have shown that polymorphisms in EST-SSR primers are lower than in genomic SSR primers (Qi et al. 2009), that EST sequences tend to be more conservative than genome sequences, and that EST-SSR primers are better than genomic SSR primers in transferability across species (Qi et al. 2009; Yang et al. 2011; Xu et al. 2014; Zhang et al. 2011). In this current study, trinucleotide repeat motifs (42.5%) were more frequent than the other nucleotide repeat motifs in EST sequences of Eucalyptus, while in genomic sequences dinucleotide repeat motifs were more frequent (54.8%). This result concurs with findings of Li (2010) on the content of microsatellites in EST sequences of Eucalyptus. Trinucleotide repeat motifs is where excessive enrichment might occur because the genetic code only allows triplet repeats to have mutations.

Analyses of the data on the maximum repetition of SSRs in this study revealed that the repetition of di-, tri-, tetra- and hexanucleotide repeat motifs was greater in genome sequences than in EST sequences of Eucalyptus. Pentanucleotide repeat motifs were an exception, as the repetitions of these in EST sequences equaled that in genomic sequences. The average repetitions of di-, tri-, tetra- and pentanucleotide repeat motifs in genomic sequences were higher than in EST sequences of Eucalyptus, but the average repetitions of hexanucleotide repeat motifs in genomic sequences was equal to that in EST sequences of Eucalyptus. These results clearly indicate that the length and polymorphism of SSRs in genomic sequences were superior to those in EST sequences of Eucalyptus.

In molecular genetics, development and utilization of molecular markers to diagnose and detect DNA polymorphisms and analyze genetic diversity have valuable applications in understanding genetic relationships, accelerating breeding and facilitating genetic improvement (Zhou 2011). SSR molecular marker technology is based on PCR, and for this, the operability of the assembly sequences must be considered in the design of primers (Yang et al. 2011). The research of Temnykh et al. (2001) showed that when the SSRs of lengths greater than or equal to 20 bp tend to have a higher degree polymorphism, SSRs of lengths between 12 and 20 bp tend to have a medium degree of polymorphism, and SSRs of lengths less than 12 bp tend to have extremely low degree of polymorphism. To ensure a high degree of polymorphism in SSR primers in this current study, selection criteria for SSRs included a minimum length of 18 bp. The lengths of the 395 SSR primers used in this current study were 18–22 bp, and the lengths of their target sequences were 200–500 bp. Those lengths can guarantee the quantity of target sequences and the fidelity of SSR primers, both sides of SSR loci must have a certain length of sequences, and it would be more convenient to select the parameters of SSR primers, as an appropriate primer length, GC content, annealing temperature, and target sequence length (Temnykh et al. 2001; Picoult-Newberg et al. 1999).

The screening of SSR primers

To evaluate the effectiveness of SSR primers of Eucalyptus, we screened 150 pairs of eSSR primers and 245 pairs of gSSR primers. After nine rounds of screening to optimize PCR conditions, 340 pairs of primers were screened and found to be effective primers. Among the 340 pairs of primers, 136 pairs were eSSR primers, and 204 pairs were gSSR primers; the overall success ratio was 86.1%. This result demonstrated that the SSR primers had good transferability and that one SSR marker could probably be shared among species with a close genetic relationship. This conclusion is agrees with results reported by Cupertino et al. (2011) who found that genomic SSR and EST SSR had no significant differences among 112 hybrid taxa of Eucalyptus. Ellis and Burke (2007) reported that the length of SSRs and their stability varied between different species and between different SSR loci within the one species. Ellis showed that gSSRs had higher polymorphism than eSSRs, and the transferability of gSSRs was worse than eSSRs. In this current study, the success ratio of screening for eSSRs (90.7%) was somewhat higher than that for gSSRs (83.3%); a result that might be attributable to the EST sequences accounting for 57.7% of the genome sequences in this study.

Conclusion

By detecting the SSRs in both genome and EST sequences of Eucalyptus, this study obtained 970 SSRs in EST sequences and 1322 SSRs in genome sequences. The software Primer 5.0 designed 150 pairs of eSSR primers and 245 pairs of gSSR primers. PCR reaction used a pool of genomic DNA, obtained from six Eucalyptus species, as a DNA template. PCR conditions were optimized and used to obtain 136 pairs of eSSR primers and 204 pairs of gSSR primers from the screening of 395 pairs of SSR primers, providing screening success ratios of 90.7 and 83.3%, respectively. The 340 pairs of SSR primers developed in the study along with insights on SSRs provide important resources for future studies on genetic diversity, phylogenetics and other genetic aspects in Eucalyptus.

The classification of Eucalyptus by Pryor and Johnson (1971) and Hill and Johnson (1995) acknowledges C. citriodora as belonging to a separate genus, Corymbia, and that E. tereticornis, E. grandis, E. urophylla, E. camaldulensis and E. pellita belonged to the genus Eucalyptus. Their classifications also place E. tereticornis and E. camaldulensis into the subgeneric taxon known as section Exsertaria, whilst E. grandis, E. urophylla and E. pellita are placed into section Latoangulatae. Within these sections, they placed E. grandis into series Salignae, and E. urophylla and E. pellita into series Resiniferinae. In the combined ML phylogenetic analyses in the current study, the results at the genus level were consistent with thothe classifications of Pryor and Johnson (1971) and Hill and Johnson (1995).

However, the genetic relationships among the five Eucalyptus revealed by analyses conducted in this current study differed somewhat from those suggested by Pryor and Johnson (1971) and Hill and Johnson (1995). The phylogenetic trees obtained in this study indicate that E. camaldulensis and E. grandis have a close genetic relationship even though traditional taxonomy placed them in different subgeneric sections, Exsertaria and Latoangulatae respectively. And the same status applied to E. tereticornis and E. urophylla.

In the analysis of the morphological features of six eucalypt species, the features of young leaves and mature leaves of E. pellita were similar to those of E. camaldulensis: 3–4 pairs of young leaves opposite, ovoid to lanceolate, and mature leaves alternate, lanceolate. Species in section Latoangulatae have mature leaves, upper and lower sides concolorous; juvenile leaves on seedlings are sessile. Zhang et al. (2010) analyzed the genetic diversity of four species of Eucalyptus and illustrated that genetic similarity of E. camaldulensis and E. grandis was greater, in agreement with the phylogenetic trees in the present study. Thus, the reliability of classification schemes based on foliar features or petiole features need further study.