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Identification of Salix L. entities by DNA barcoding Lucchin M.1 ...

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Tercer Congreso Internacional de Salicáceas en Argentina Trabajo Técnico<br />

<strong>Identification</strong> <strong>of</strong> <strong>Salix</strong> L. <strong>entities</strong> <strong>by</strong> <strong>DNA</strong> <strong>barcoding</strong><br />

<strong>Lucchin</strong> M. 1* , Marziali L. 1 , Todeschini M. 1 , Salmaso M. 1 , Nicolè S. 1 , Paiero P. 2<br />

1 Department <strong>of</strong> Environmental Agronomy and Crop Production, University <strong>of</strong> Padova, Italy,<br />

2 Department <strong>of</strong> Land and Agr<strong>of</strong>orest Environmets, University <strong>of</strong> Padova, Italy<br />

* presenting author, margherita.lucchin@unipd.it<br />

Abstract<br />

Following the sequencing <strong>of</strong> a growing number <strong>of</strong> plant genomes and with the availability <strong>of</strong> more<br />

and more powerful computational tools, <strong>DNA</strong> sequences are becoming the major source <strong>of</strong><br />

information in understanding the evolutionary and genetic relationship among plant species. The<br />

importance <strong>of</strong> a comparative sequence analysis is clearly evident in studies aimed at clarifying the<br />

taxonomic and phylogenetic relationships at interspecific level. Since 2003 several authors<br />

proposed and demonstrated that the nucleotide content <strong>of</strong> a single gene can be sufficient for the<br />

discrimination and the identification <strong>of</strong> animal species. The experimental reliability and the general<br />

applicability <strong>of</strong> this approach, known as “<strong>DNA</strong> <strong>barcoding</strong>”, has been first assessed using the<br />

mitochondrial gene CO1 encoding for the subunit I <strong>of</strong> the cytochrome oxydase .The term “<strong>DNA</strong><br />

<strong>barcoding</strong>” refers to a <strong>DNA</strong>-sequence based identification system that may be constructed <strong>of</strong><br />

several loci used together as complementary unit to define a specific haplotype. A species can<br />

thus be unequivocally identified on the basis <strong>of</strong> single nucleotide polymorphisms (SNPs) or<br />

insertions/deletions (In/Dels) in the most conserved regions <strong>of</strong> one or a few selected genes. A <strong>DNA</strong><br />

<strong>barcoding</strong> approach based on mitochondrial genes is not feasible in plants because <strong>of</strong> their much<br />

slower rate <strong>of</strong> evolution compared to animals.. This research was aimed at developing molecular<br />

diagnostic tests able to screen the plant biodiversity and univocally identify species belonging to<br />

the <strong>Salix</strong> L. genus. For this purpose we assessed the level <strong>of</strong> sequence divergence (SNP and<br />

In/del polymorphisms) among 22 willow species in two chloroplast putative barcode loci to<br />

determine which <strong>of</strong> them maximize species identification when combined as a barcode.<br />

Willow species belonging to Humboldtiana and <strong>Salix</strong> subgenera were clustered apart, supporting<br />

species separation on the basis <strong>of</strong> bio-geographical and morphological traits, whereas species <strong>of</strong><br />

subgenera Caprisalix and Chamaetia were unrecognizable on the basis <strong>of</strong> two chloroplast<br />

intergene spacers, this is probably due to their frequent hybrid origin. Nuclear barcode sequences,<br />

able to identify recombination events have to be evaluated.<br />

Keywords: willow species, <strong>DNA</strong> <strong>barcoding</strong>, taxonomic identification, phylogenetic relationships.<br />

Introduction<br />

The genus <strong>Salix</strong> is one <strong>of</strong> the largest in the world dendr<strong>of</strong>lora showing a very wide geographical<br />

distribution. Willow species play an important role in the vegetation structure <strong>of</strong> many habitats and<br />

are commonly utilized for different purposes. In spite <strong>of</strong> this, uncertainty and doubts exist in the<br />

taxonomy <strong>of</strong> this genus because <strong>of</strong> large morphological polymorphism <strong>of</strong> species and common<br />

natural interspecific hybridization leading to the presence <strong>of</strong> several transitional cases (Skvortsov,<br />

1999).<br />

<strong>DNA</strong> <strong>barcoding</strong> is a diagnostic technique aimed to provide rapid, accurate and automatable<br />

species identification <strong>by</strong> using a short, standardized <strong>DNA</strong> region, i.e. the “<strong>DNA</strong> barcode”. It is<br />

based on the premise that a short standardized sequence can distinguish individuals <strong>of</strong> a species<br />

because genetic variation between species exceeds that within species (Hajibabaei et al., 2007)<br />

In animals, the standard sequence for differentiating species has been identified in the cox1<br />

mitochondrial gene (Herbert et al., 2003). In plants, chloroplast <strong>DNA</strong> is favoured because its larger<br />

variability, but a sequence able to identify all species as in the animal kingdom is not yet identified.<br />

In this paper, the trnH-psbA and trnL-trnF chloroplast intergenic regions have been tested to i)<br />

examine the phylogenetic relationships within <strong>Salix</strong> genus to understand the evolutionary pattern<br />

<strong>of</strong> willow species; ii) assess their ability to discriminate among species in the genus <strong>Salix</strong>, which


Tercer Congreso Internacional de Salicáceas en Argentina Trabajo Técnico<br />

can be considered as a model in the search for a barcode sequence because <strong>of</strong> its complexity and<br />

diffusion.<br />

Materials and Methods<br />

Following a multi-locus <strong>DNA</strong> <strong>barcoding</strong> approach, two non-coding chloroplast regions were tested<br />

across 22 willow species, each represented <strong>by</strong> two-five plants <strong>of</strong> different origin (Table 1). All<br />

plants are maintained in our willow collection at the Experimental Farm <strong>of</strong> the University <strong>of</strong> Padova,<br />

Italy. <strong>DNA</strong> was isolated from young leaves as in Meneghetti et al. (2007). The final concentration<br />

<strong>of</strong> <strong>DNA</strong> was estimated <strong>by</strong> electrophoresis on 1% agarose/TAE gel and quantification was made <strong>by</strong><br />

comparison with 1 Kb plus <strong>DNA</strong> ladder (Invitrogen) <strong>of</strong> known concentration. The trnH-psbA spacer<br />

was sequenced <strong>by</strong> using primer forward trnH CGCGCATGGTGGATTCACAATCC and reverse<br />

PsbA GTTATGCATGAACGTAATGCTC. To sequence trnL/trnF region the primers trnL<br />

GAGCACAGTGGTCAAGTTTA and trnF GGGGATAGAGGGACTTGAAC were utilized. PCR<br />

products were purified enzimatically <strong>by</strong> EXO-SAP (Amersham) procedure and then bi-directionally<br />

sequenced using ABI BigDye dye-terminators and cycle-sequencing protocols. Sequencing<br />

reactions were run on an ABI 3730xl <strong>DNA</strong> analyzer. Sequences were visualized <strong>by</strong> Sequencher<br />

3.0 (GeneCodes Corp).<br />

Before alignment, primer sequences were removed from both ends <strong>of</strong> sequences, so all<br />

sequences began and ended at homologous sites.<br />

Genetic divergence (d) among species sequences was calculated according to the Kimura-2parameter<br />

model (Kimura, 1980), as<br />

d = - ½ log e(w1) – ¼ log e(w2)<br />

Where w1= 1-2P-Q<br />

w2= 1-2Q<br />

with P and Q the frequency <strong>of</strong> transition and transversion respectively.<br />

Based on the multilocus pairwise nucleotide divergences, the Neighbor-joining analysis was<br />

performed <strong>by</strong> Mega 4.1 s<strong>of</strong>tware (Kumar et al., 2008) and a bootstrap statistical analysis was<br />

conducted to measure stability <strong>of</strong> the obtained branches using 1,000 resampling replicates.<br />

Populus nigra sample was added as outgroup. In addition, the different haplotypes were identified<br />

based on two loci.<br />

Results<br />

Genetic relationships among <strong>Salix</strong> species were investigated <strong>by</strong> a multilocus <strong>DNA</strong> <strong>barcoding</strong><br />

approach based on the sequence divergences <strong>of</strong> two chloroplast intergenic regions, trnH-psbA<br />

and the trnL/trnF.<br />

The total lengths <strong>of</strong> the trnH-PsbA and the trnL/trnF regions were confirmed using a comparative<br />

alignment with sequences obtained from GenBank. The final aligned matrix had a total length <strong>of</strong><br />

635 characters, 284 and 351 sites for trnH-PsbA and trnL/trnF respectively. The phylogenetic<br />

analysis resulted in a well-resolved and well supported tree (Figure 1) and seven willow haplotypes<br />

were identified:<br />

- Haplotype 1: S. alba, S. fragilis and S. pentandra;<br />

- Haplotype 2: S. acmophylla;<br />

- Haplotype 3: S. humboldtiana;<br />

- Haplotype 4: S. brutia;<br />

- Haplotype 5: S. triandra;<br />

- Haplotype 6: S. eleagnos, S. breviserrata, S. retusa, S. purpurea, S. apenina, S.<br />

mielich<strong>of</strong>eri, S. foetida, S. waldsteniana, S. rosmarinifolia, S. caprea, S. appendiculata,<br />

S. canariensis, S. daphnoides and S. myrsinifolia;<br />

- Haplotype 7: S. atrocinerea.<br />

Two main groups can be recognized in the phylogenetic tree: species belonging to subgenus <strong>Salix</strong><br />

clustered apart from the main group showing species <strong>of</strong> subgenera Vetrix and Chametia, so<br />

supporting species separation on the basis <strong>of</strong> bio-geographical and morphological traits. Within<br />

subgenus <strong>Salix</strong>, that botanists consider the least evolved and the most related to the genus<br />

Populus (Martini & Paiero, 1988), species <strong>of</strong> sections Amygdalinae and Humboldtianae resulted to


Tercer Congreso Internacional de Salicáceas en Argentina Trabajo Técnico<br />

be well separated according to their different distribution. S. alba, S. fragilis and S. pentandra did<br />

not show any nucleotide polymorphism in the two loci analysed, thus confirming their strong<br />

relationships: according to Skvortsov (1999), the two sections <strong>Salix</strong> and Pentandrae <strong>of</strong> the<br />

subgenus <strong>Salix</strong> have close relationships, and S. pentandra to some extents resembles S. fragilis.<br />

In section <strong>Salix</strong>, white willow and crack willow are known to constitute the S. alba-S. fragilis<br />

complex together with their hybrids and introgressants (Barcaccia et al., 2003).<br />

Our preliminary results confirm the potentials <strong>of</strong> <strong>DNA</strong> <strong>barcoding</strong> technique as a powerful tool to be<br />

exploited for the genetic identification <strong>of</strong> willow species allowing to overpass the taxonomic<br />

impediments due to life and phenological stages or dioecism. However, the two chloroplast loci<br />

here considered were not able to distinguish all willow species showing some criticisms and<br />

suggesting further loci will have to be investigated. The conventional <strong>barcoding</strong> approach is based<br />

on reproductive isolation causing the accumulation <strong>of</strong> molecular differences. Due to the common<br />

interspecific hybridization which led the evolution <strong>of</strong> <strong>Salix</strong> species, nuclear regions will have to be<br />

assessed.<br />

References<br />

Barcaccia G, Meneghetti S, Albertini E, Triest L, <strong>Lucchin</strong> M., 2003. Linkage mapping in tetraploid<br />

willows: segregation <strong>of</strong> molecular markers and estimation <strong>of</strong> linkage phases support an<br />

allotetraploid structure for <strong>Salix</strong> alba x <strong>Salix</strong> fragilis interspecific hybrids. Heredity, 90, 169-180.<br />

Brullo S, Spampinato G, 1993. A new species <strong>of</strong> <strong>Salix</strong> (Salicaceae) from Calabria (S Italy).<br />

Candollea 48 (1), 291-295.<br />

Hajibabaei M, Singer GAC, Herbert PDN, Hickey DA, 2007. <strong>DNA</strong> <strong>barcoding</strong>: how it complements<br />

taxonomy, molecular phylogenetics and population genetics. Trends Genet., 23, 167-172.<br />

Herbert PDN, Cywinska A, Ball SL, de Waard JR, 2003. Biological identification trough <strong>DNA</strong><br />

barcodes. Proc. R. Soc. Lond B, 270, 313-321.<br />

Kimura M, 1980. A simple method for estimating evolutionary rates <strong>of</strong> base substitutions through<br />

comparative studies <strong>of</strong> nucleotide sequences. J. <strong>of</strong> Mol. Evol., 16 (2), 111-120.<br />

Kumar S, Dudley J, Nei M, Tamura K, 2008. MEGA: a biologist-centric s<strong>of</strong>tware for evolutionary<br />

analysis <strong>of</strong> <strong>DNA</strong> and protein sequences. Brief. in Bioinformatics 9: 299-306.<br />

Martini F, Paiero P, 1988. I salici d’Italia. Ed. Lint, Trieste, Italy.<br />

Meneghetti S, Barcaccia G, Paiero P, <strong>Lucchin</strong> M, 2007. Genetic characterization <strong>of</strong> <strong>Salix</strong> alba L.<br />

and <strong>Salix</strong> fragilis L. <strong>by</strong> means <strong>of</strong> different PCR-derived marker systems. Pl. Biosystems, 141 (3),<br />

283-291.<br />

Skvortsov AK, 1999. Willows <strong>of</strong> Russia and adjacent countries. Taxonomical and geographical<br />

revision. University <strong>of</strong> Joensuu Publ. Joensuu, Finland.<br />

Table 1: List <strong>of</strong> the 22 analysed willow species. Taxonomy is according to Skvortsov (1999).<br />

(a) Classification <strong>of</strong> S. brutia is according to Brullo and Spampinato (1993).<br />

Species No. <strong>of</strong> plants Subgenus Section<br />

S. acmophylla 2 <strong>Salix</strong> Humboldtianae<br />

S. alba 5 <strong>Salix</strong> <strong>Salix</strong><br />

S. apennina 2 Vetrix Nigricantes<br />

S. appendiculata 3 Vetrix Vetrix<br />

S. atrocinerea 3 Vetrix Vetrix<br />

S. breviserrata 2 Chamaetia Myrtosalix<br />

S. brutia (a) 3 <strong>Salix</strong> Amygdalinae<br />

S. canariensis 3 Vetrix Vetrix<br />

S. caprea 3 Vetrix Vetrix


Tercer Congreso Internacional de Salicáceas en Argentina Trabajo Técnico<br />

S. daphnoides 2 Vetrix Daphnella<br />

S. eleagnos 2 Vetrix Canae<br />

S. foetida 2 Vetrix Arbuscella<br />

<strong>Salix</strong> fragilis 4 <strong>Salix</strong> <strong>Salix</strong><br />

<strong>Salix</strong> humboldtiana 3 <strong>Salix</strong> Humboldtianae<br />

<strong>Salix</strong> mielich<strong>of</strong>eri 4 Vetrix Nigricantes<br />

<strong>Salix</strong> myrsinifolia 4 Vetrix Nigricantes<br />

<strong>Salix</strong> pentandra 2 <strong>Salix</strong> Pentandrae<br />

<strong>Salix</strong> purpurea 4 Caprisalix Helix<br />

<strong>Salix</strong> retusa 2 Chamaetia Retusae<br />

<strong>Salix</strong> rosmarinifolia 4 Vetrix Incubaceae<br />

<strong>Salix</strong> triandra 3 <strong>Salix</strong> Amygdalinae<br />

S. waldsteniana 2 Vetrix Arbuscella


Tercer Congreso Internacional de Salicáceas en Argentina Trabajo Técnico<br />

Figure 1: Phylogenetic tree obtained <strong>by</strong> analysing trnH-PsbA and trnL/trnF combined loci. The<br />

numbers above the nodes represent bootstrap support after 1,000 replicates.

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