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Differences between native and introduced olive cultivars as revealed by morphology of drupes, oil composition and SSR polymorphisms: A case study in Tunisia He ´dia Hannachi a , Catherine Breton b , Monji Msallem c , Salem Ben El Hadj d , Mohamed El Gazzah a , Andre ´ Berville ´ e, * a Faculte ´ des Sciences de Tunis, De ´partement de Biologie, Campus Universitaire 2092, Tunis, Tunisia b AFIDOL, Maison des agriculteurs, 22 Avenue Henri Pontier, F-13626 Aix-en-Provence cedex 1, France c Institut de l’Olivier, BP 208, 1082 Tunis, Tunisia d Institut National Agronomique de Tunisie, 43 avenue Charles Nicolle, 1082 Tunis, Mahraje `ne, Tunisia e INRA, UMR DIA PC, Ba ˆt 33, 2 Place Viala, F-34060 Montpellier cedex 1, France Received 14 September 2007; received in revised form 3 January 2008; accepted 10 January 2008 Abstract Olive cultivars are diversified but nothing is known on their origins and if they are local or introduced in any regions. The study aims to determine which traits may help to identify native from introduced cultivars and oleaster trees. We compared cultivars and oleasters from North Tunisia to determine their relationships based on morphological traits, oil composition and SSR genotyping at seven loci. We used those parameters to examine 32 cultivar trees from 17 denominations and 70 oleaster trees sampled. We used multivariate analysis, enabling to retain the best variables, to establish relationships among trees based on morphological and pomological parameters. Gas chromatography was used to determine fatty acid composition of 30 cultivar trees and 13 oleaster trees. We determined for one cultivar Gerboui the steady drupe, pit morphological and oil composition variation ranges in six different contrasted agro-systems. SSR genotyping was performed in polyacrylamide gels after fluorescent labelling. Based on morphology, oleaster trees from agro-ecosystems clustered broadly in an intermediate position between cultivars and oleasters from natural ecosystems. SSR revealed that the feral and genuine oleasters plus cultivars are always overlapping. Relationships between cultivars are displayed in two dendrograms. They revealed six and three main clusters based on Unweighted Pair Group Method (UPGMA) and Ward algorithm, respectively. They mix olive cultivar and oleaster trees suggesting kinship relationships between some cultivar and some oleaster trees. In contrast, on PCA, some morphological parameters split our sample approximately between olive and oleaster trees. Oil composition was similar between cultivar and oleaster trees. Kinship relationships between cultivar and oleaster trees based on molecular polymorphisms suggested that olive cultivars may have origin in local oleasters. Oil composition as fruit descriptors and drupe size appeared inefficient to discriminate between olive and oleaster trees, in comparison to SSR. Our results suggested several domestication events for the olive. It is important to know which cultivars have local origin to promote and sale products from Tunisia as from all around the Mediterranean basin. # 2008 Elsevier B.V. All rights reserved. Keywords: Domestication; Cultivar origins; Drupe morphology; Oil composition; Oil content; SSR; Olea europaea 1. Introduction Olive growers question all around the Mediterranean basin whether their olive cultivars have been introduced or are derived from local oleasters. The olive and the wild olive or oleaster border in many places, but little is known on their relationships, and whether in each place oleaster are feral, i.e., they derived from the olive, or are genuine or natural (Lumaret and Ouazzani, 2001) and the source of cultivars. Distinction of a crop from its wild relatives is based on several morphological traits and Botanists have usually made distinct species of the two taxa (Gressel, 2005). There are always ambiguities in the distinction, particularly when gene flow between crop and wild is recurrent. Indeed, gene flow leads to feral forms escaped from culture and established in agro- and natural ecosystems. The olive, the feral olive and the www.elsevier.com/locate/scihorti Available online at www.sciencedirect.com Scientia Horticulturae 116 (2008) 280–290 * Corresponding author. Tel.: +33499612233; fax: +33467045415. E-mail address: [email protected] (A. Berville ´). 0304-4238/$ – see front matter # 2008 Elsevier B.V. All rights reserved. doi:10.1016/j.scienta.2008.01.004
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www.elsevier.com/locate/scihorti

Available online at www.sciencedirect.com

16 (2008) 280–290

Scientia Horticulturae 1

Differences between native and introduced olive cultivars as revealed

by morphology of drupes, oil composition and SSR polymorphisms:

A case study in Tunisia

Hedia Hannachi a, Catherine Breton b, Monji Msallem c, Salem Ben El Hadj d,Mohamed El Gazzah a, Andre Berville e,*

a Faculte des Sciences de Tunis, Departement de Biologie, Campus Universitaire 2092, Tunis, Tunisiab AFIDOL, Maison des agriculteurs, 22 Avenue Henri Pontier, F-13626 Aix-en-Provence cedex 1, France

c Institut de l’Olivier, BP 208, 1082 Tunis, Tunisiad Institut National Agronomique de Tunisie, 43 avenue Charles Nicolle, 1082 Tunis, Mahrajene, Tunisia

e INRA, UMR DIA PC, Bat 33, 2 Place Viala, F-34060 Montpellier cedex 1, France

Received 14 September 2007; received in revised form 3 January 2008; accepted 10 January 2008

Abstract

Olive cultivars are diversified but nothing is known on their origins and if they are local or introduced in any regions. The study aims to

determine which traits may help to identify native from introduced cultivars and oleaster trees. We compared cultivars and oleasters from North

Tunisia to determine their relationships based on morphological traits, oil composition and SSR genotyping at seven loci. We used those parameters

to examine 32 cultivar trees from 17 denominations and 70 oleaster trees sampled. We used multivariate analysis, enabling to retain the best

variables, to establish relationships among trees based on morphological and pomological parameters. Gas chromatography was used to determine

fatty acid composition of 30 cultivar trees and 13 oleaster trees. We determined for one cultivar Gerboui the steady drupe, pit morphological and oil

composition variation ranges in six different contrasted agro-systems. SSR genotyping was performed in polyacrylamide gels after fluorescent

labelling. Based on morphology, oleaster trees from agro-ecosystems clustered broadly in an intermediate position between cultivars and oleasters

from natural ecosystems. SSR revealed that the feral and genuine oleasters plus cultivars are always overlapping. Relationships between cultivars

are displayed in two dendrograms. They revealed six and three main clusters based on Unweighted Pair Group Method (UPGMA) and Ward

algorithm, respectively. They mix olive cultivar and oleaster trees suggesting kinship relationships between some cultivar and some oleaster trees.

In contrast, on PCA, some morphological parameters split our sample approximately between olive and oleaster trees. Oil composition was similar

between cultivar and oleaster trees. Kinship relationships between cultivar and oleaster trees based on molecular polymorphisms suggested that

olive cultivars may have origin in local oleasters. Oil composition as fruit descriptors and drupe size appeared inefficient to discriminate between

olive and oleaster trees, in comparison to SSR. Our results suggested several domestication events for the olive. It is important to know which

cultivars have local origin to promote and sale products from Tunisia as from all around the Mediterranean basin.

# 2008 Elsevier B.V. All rights reserved.

Keywords: Domestication; Cultivar origins; Drupe morphology; Oil composition; Oil content; SSR; Olea europaea

1. Introduction

Olive growers question all around the Mediterranean basin

whether their olive cultivars have been introduced or are

derived from local oleasters. The olive and the wild olive or

oleaster border in many places, but little is known on their

* Corresponding author. Tel.: +33499612233; fax: +33467045415.

E-mail address: [email protected] (A. Berville).

0304-4238/$ – see front matter # 2008 Elsevier B.V. All rights reserved.

doi:10.1016/j.scienta.2008.01.004

relationships, and whether in each place oleaster are feral, i.e.,

they derived from the olive, or are genuine or natural (Lumaret

and Ouazzani, 2001) and the source of cultivars.

Distinction of a crop from its wild relatives is based on

several morphological traits and Botanists have usually made

distinct species of the two taxa (Gressel, 2005). There are

always ambiguities in the distinction, particularly when gene

flow between crop and wild is recurrent. Indeed, gene flow

leads to feral forms escaped from culture and established in

agro- and natural ecosystems. The olive, the feral olive and the

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290 281

oleaster may further create a complex set of individuals that

combine more or less traits from crop and wild. They display

continuous variation of traits used to distinguish them. Typical

cases have been described for sugar beet (Beta vulgaris L.) and

B. maritima L. in Europe (Santoni and Berville, 1992) and

sunflower/wild sunflower in the States (Whitton et al., 1997;

Reagon and Snow, 2006). Thus, morphological traits are

usually insufficient to distinguish among crop and wild and

breeders turn to molecular markers for help in distinction.

When the evolutionary study and domestication events of the

crop/wild relative couple is not known, in most cases the

distinction between crop and wild may be simple but some

individuals cannot be classified because they mixed traits and

molecular markers from the two classes as for weed beet and

sugar beet (Viard et al., 2004).

In Tunisia, the situation is exemplary and since the studies

by Camps-Fabrer (1953) many reports have shown the diversity

for the Tunisian olive (Trigui and Msallem, 2002), but little

attention has been given to the Tunisian oleaster. The

colonisations of Tunisia by Phoenicians, Greeks and Romans

make likely the introduction of foreign cultivars. However, the

oleaster is indubitably spontaneous in this area, and if local

domestication events occurred, we should expect tight relation-

ships between some cultivars and oleasters.

For the olive, criteria to establish relationships are based on

tree physiognomy, structure and size of fruits, pit and leaf

shapes, and dimensions. The set of criteria is commonly used

for cultivar distinction and identification. For oleasters there are

no criteria to describe fruits but it is logic to use those from

cultivars. Thus, we examined cultivar/cultivar and cultivar/

oleaster compared with the same criteria to look for similarities

on drupe shape parameters. For cultivars, the variation in drupe

morphology is huge. Twelve primary morphological descrip-

tors are listed for drupes and pits (Idrissi and Ouazzani, 2004).

Catalogues for olive cultivars display description and pictures

of trees and fruits of each denomination in different countries.

International Plant Genetic Resources Institute (IPGRI, Roma)

with International Olive Oil Council (IOOC, Madrid) have

regrouped most of them with their description (Bartolini et al.,

1998; Trigui and Msallem, 2002; Rotondi et al., 2003; Idrissi

and Ouazzani, 2004).

In general, oleasters display smaller (0.5–1.2 cm) fruit than

cultivars (1.2–4 cm), but many cultivars display small drupes as

oleasters as for Arbequina from Spain, Cailletier from France,

Frantoio from Italy, Koroneiki from Greece, and Chemlali from

Tunisia. Moreover, fruit size depends on cultivar genotype and

environment, but also variation is observed depending on the

load in fruits of trees that is different each year (C. Pinatel,

AFIDOL, Aix-en-Provence, France, Pers. comm.). Environ-

mental effects on fruit dimensions, pits morphology and fruit

composition have already been demonstrated for cultivars in

particular for long-lived stands of abandoned olive groves when

all human contributions to environment have disappeared

(Besnard et al., 2001). In these stands identification of a cultivar

denomination may be difficult. A rational comparison of olive

fruit dimension variation due to environmental conditions has

never been published and remains to be established. However,

most of olive cultivars have local distribution, and as example,

the local situation in North Tunisia, can be considered as

representative of the situation around the Mediterranean basin.

Tunisia displays adequate conditions to compare the olive and

oleaster since they are bordering in many locations. Distinction

between olive and oleaster trees is usually performed at local

situation, but this may repeat in plenty of regions all around the

Mediterranean basin.

To establish relationships between olive cultivar/cultivar and

cultivar/oleaster trees several molecular tools are widely used.

Here, we chose some Oe-SSRs that have been developed in

several teams (Sefc et al., 2000; Cipriani et al., 2002; Carriero

et al., 2002) of the series Oe-DCA, Oe-UDO, and Oe-GAPU.

For this first study we computed hierarchical analysis using

genetic distances aggregated with the Unweighted Pair Group

Method (UPGMA) and NJ methods. We first compared cultivar

to oleaster trees based on fruit morphology. Because the trees

grow in different ecosystems, we determined on Gerboui

cultivar which effects have different environments on those

morphological and oil parameters. All these characters were

used for olive and oleaster comparison. Those morphologic

traits that were stable in six different agro-ecosystems were

identified and their efficiency to establish relationships between

oleaster and cultivars from Tunisia was further verified. We also

verified whether olive oil fatty acid composition enables to look

for similarities. Moreover, we finally examined the poly-

morphisms for a few of SSR loci and we showed the similarities

as a dendrogram. Results are discussed from domestication

points of view and valorisation of commercial products.

2. Materials and methods

We sampled cultivar and feral oleaster trees in the agro-

ecosystems and other oleasters in natural ecosystems at

different locations. Thirty-two cultivar trees were sampled in

11 locations in different orchards (Table 1). Six individuals

from Gerboui were sampled in six orchards to study

environmental effect on pomological and oil parameters

(Table 2). Seventy oleaster trees were sampled either around

orchards in agro-ecosystems (42 trees) or in natural ecosystems

(28 trees). Feral oleaster trees in agro-ecosystems are bordering

with cultivars, in association with prickly pear (Opuntia ficus-

indica). In natural ecosystem, oleaster trees are isolated from all

cultural practices and environment, in association with

pistachio (Pistacia lentiscus).

Microsatellite markers (simple sequence repeat: SSR) were

applied onto DNAs from 15 olive cultivar and 52 oleaster trees,

31 in agro-ecosystems and 21 in natural ecosystems. Oil

composition was determined for 30 cultivar and 13 oleaster

trees, five in agro-ecosystems and eight in natural ecosystems.

The morphological and pomological parameters were deter-

mined on 32 cultivar and 40 oleaster trees, 24 in agro-

ecosystems and 16 in natural ecosystems (Table 1).

One hundred drupes and leaves were sampled on each tree.

Morphological and pomological parameters deal with trees,

leaves, fruits and pits. Statistics for each value is the mean of

100 leaves, drupes or pits. We noted 26 morphological

Table 1

List of individuals – cultivars and oleasters – in their different ecosystems

Code Cultivar/

oleaster

D O M Sample location/

governoratea

Fruit

weight (g)

Oil/FW (%) Geographical cultivated

areab/ecosystemsc

C1 Sayali + + + Slouguia/BA 3.98 23.67 Tunisia North: BA, EF,

JB, NL, SA, TS, ZN

C2 Chetoui1 + + + Slouguia/BA 3.38 27.04 Tunisia North: BA, BZ,

EF, JB, NL, SA, TS, ZN

C3 Chetoui2 � + + Laaroussa/SA � �C4 Chetoui3 � + + Laaroussa/SA � �C5 Chetoui4 � + + ElAlia/BZ � �C6 Marsaline1 + + + Slouguia/BA 3.28 18.97 NL, SA, TS, ZN

C7 Marsaline2 + + Laaroussa/SA � �C8 Chemlali1 + + + Slouguia/BA 0.80 17.26 BZ, NL,TS

C10 Meski1 + + + Slouguia/BA 3.40 14.67 BZ, NL, TS, ZN

C11 Meski2 � + + Dougga/BA � �C12 Meski3 � + + ElAlia/BZ � �C13 Neb Jmel + + + Testour/BA 2.34 23.92 Tunisia area cultivated

C14 Gerboui1 + + + Slouguia/BA 1.86 19.09 EF, JB, NL, SA, TS

C15 Gerboui2 � + + Testour/BA � �C16 Gerboui3 � + + Teboursouk/BA � �C17 Gerboui4 � + + Dougga/BA � �C18 Gerboui5 � + + Tunis/TS � �C19 Gerboui6 � + + Seliana/SA � �C20 Besbessi1 + + + Testour/BA 2.90 17.03 BZ, NL, SA TS, ZN

C21 Besbessi2 � + + Laaroussa/SA � �C22 Chaıbi1 + + + Teboursouk/BA 1.01 16.98 Tunisia North

C23 Chaıbi2 � + + Teboursouk/BA � �C24 Chaıbi3 � + + Teboursouk/BA � �C25 Chaıbi4 � + + Laaroussa/SA � �C26 Tounsi + + + Teboursouk/BA 1.27 19.80 NL, ZN

C27 Roumi + + + Teboursouk/BA 1.11 20.79 BZ, JB,TS

C28 Zarras + + + Teboursouk/BA 2.32 29.11 TS

C29 Limi + + + Teboursouk/BA 1.01 16.59 NL, TS

C30 Rajou + � + Rasjbel/BZ � � BZ, NL, TS

C31 Nibd + � + Rasjbel/BZ � �C32 Souihli � + + Dougga/BA 1.38 26.81 NL, TS

C33 Awame � + + Dougga/BA 1.25 23.78

O1 Oleaster + + + Slouguia/BA 0.45 9.44 Agro-ecosystem

O3 Oleaster + � + Testour/BA 0.62 Agro-ecosystem

O4 Oleaster + + + Testour/BA 0.62 10.99 Agro-ecosystem

O5 Oleaster + � � Teboursouk/BA � � Agro-ecosystem

O6 Oleaster + + + Teboursouk/BA 0.7 15.06 Natural ecosystem

O7 Oleaster + + + Ichkeul/BZ 0.24 7.59 Natural ecosystem

O8 Oleaster + + + Ichkeul/BZ 0.38 8.35 Natural ecosystem

O9 Oleaster + + + Ichkeul/BZ 0.35 8.02 Natural ecosystem

O10 Oleaster + � � Ichkeul/BZ � � Natural ecosystem

O11 Oleaster + � � Ichkeul/BZ � � Natural ecosystem

O12 Oleaster + � � Ichkeul/BZ � � Natural ecosystem

O13 Oleaster + � � Ichkeul/BZ � � Natural ecosystem

O15 Oleaster + � + RasJbel/BZ 0.84 � Agro-ecosystem

O16 Oleaster + � � RasJbel/BZ � � Agro-ecosystem

O17 Oleaster + + + Tunis/TS 0.34 10.83 Natural ecosystem

O18 Oleaster + + Tunis/TS � � Natural

O19 Oleaster + + + Tunis/TS 0.31 9.11 Natural ecosystem

O20 Oleaster + + + Tunis/TS 0.33 8.81 Natural ecosystem

O21 Oleaster + � + Messaoudi/EF 0.52 Agro-ecosystem

O22 Oleaster + � � Midian/EF � � Natural ecosystem

O23 Oleaster + � � Bahra/EF � � Agro-ecosystem

O25 Oleaster + � � Ettouiref/EF � � Natural ecosystem

O26 Oleaster + � � Ettouiref/EF � � Natural ecosystem

O27 Oleaster + � � Jendouba/JB � � Natural ecosystem

O28 Oleaster + � � Fernana/JB � � Agro-ecosystem

O29 Oleaster + � � Jendouba/JB � � Natural ecosystem

O30 Oleaster + + Tbaba/JB 0.29 � Agro-ecosystem

O31 Oleaster + � � Zouaraa/BA � � Agro-ecosystem

O32 Oleaster + � � Zouraa/BA � � Agro-ecosystem

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290282

Table 1 (Continued )

Code Cultivar/

oleaster

D O M Sample location/

governoratea

Fruit

weight (g)

Oil/FW (%) Geographical cultivated

areab/ecosystemsc

O33 Oleaster + � � Tamra/BA � Agro-ecosystem

O34 Oleaster + � + Sejnan/BZ 0.35 � Agro-ecosystem

O35 Oleaster + � � Sejnan/BZ � � Agro-ecosystem

O36 Oleaster � � + Mateur/BZ 0.64 � Agro-ecosystem

O37 Oleaster + � � AınGhlal/BZ � � Agro-ecosystem

O38 Oleaster + � + JbelElwesr/ZN 0.44 � Natural ecosystem

O39 Oleaster + � + Zaghouan/ZN 0.51 � Agro-ecosystem

O40 Oleaster + � � Zriba/ZN � � Agro-ecosystem

O41 Oleaster � � + Zriba/ZN 0.67 � Agro-ecosystem

O42 Oleaster + � � Jradou/ZN � � Agro-ecosystem

O43 Oleaster + � � Jradou/ZN � � Agro-ecosystem

O44 Oleaster + � � OuedKenz/ZN � � Natural ecosystem

O45 Oleaster + � � Batria/ZN � � Agro-ecosystem

O46 Oleaster + � + Saouaf/ZN 0.46 � Agro-ecosystem

O47 Oleaster + � � OuedTouil/ZN � � Agro-ecosystem

O49 Oleaster � � + Joudar/ZN 0.21 � Agro-ecosystem

O48 Oleaster + � � Saouaf/ZN � � Agro-ecosystem

O51 Oleaster + + + MjezElbab/BA 0.57 10.96 Agro-ecosystem

O52 Oleaster + � � Kelibia/NL � � Agro-ecosystem

O53 Oleaster + � � Kelibia/NL � � Agro-ecosystem

O55 Oleaster + � � Kelibia/NL � � Agro-ecosystem

O56 Oleaster + � + Kelibia/NL 0.91 � Agro-ecosystem

O57 Oleaster + � + Kelibia/NL 0.90 � Agro-ecosystem

O58 Oleaster � � + Echraf/KA 0.36 � Agro-ecosystem

O59 Oleaster + � + Echraf/NL 0.89 � Agro-ecosystem

O60 Oleaster � � + Echraf/KA 0.52 � Agro-ecosystem

O61 Oleaster + � � Abderrahman/NL � � Natural ecosystem

O63 Oleaster � � + Abderrahman/NL 0.44 � Natural ecosystem

O64 Oleaster + � + Abderrahman/NL 0.35 � Natural ecosystem

O65 Oleaster � � + Zaghouan/ZN 0.45 � Natural ecosystem

O66 Oleaster � � + Zaghouan/ZN 0.48 � Natural ecosystem

O67 Oleaster � � + Zaghouan/ZN 0.64 � Agro-ecosystem

O68 Oleaster � � + Zaghouan/ZN 0.86 � Agro-ecosystem

O69 Oleaster � � + Azmour/NL 0.68 � Agro-ecosystem

O70 Oleaster � � + Azmour/NL 0.81 � Agro-ecosystem

O71 Oleaster � � + Azmour/NL 0.35 � Natural ecosystem

O72 Oleaster � � + Azmour/NL 0.35 � Natural ecosystem

O73 Oleaster � � + Azmour/NL 0.33 � Natural ecosystem

O74 Oleaster � � + Azmour/NL 0.24 � Natural ecosystem

O77 Oleaster � + + Dougga/BA 0.85 13.43 Agro-ecosystem

O78 Oleaster � + + Laaroussa/SA 0.65 12.83 Agro-ecosystem

(+) For columns D, O, M, mean DNA, oil and the morphology were studied, respectively; (�) means not determined.a Governorates are BA: Beja; BZ: Bizerte; EF: El Kef; JB: Jendouba; NL: Nabeul; SA: Seliana; TN: Tunis; ZN: Zaghouan.b Cultivated geographical area were determined by several authors (Minangoin, 1901; Decrully, 1907; Valdeyron and Crossa-Raynaud, 1950; Mehri and Hellali,

1995; Mehri et al., 1997; Trigui and Msallem, 2002).c Oleaster ecosystems.d This cultivar (Nib) was not previously identified.e This cultivar (Awam) was only indicated by Hannachi et al. (2006).

Table 2

The different locations and agro-ecosystems with climate characteristics according to Mtimet (1999) where the Gerboui cultivar was sampled

Code for Gerboui

locations

Location Elevation

(m)

Soil Annual means

raining (mm)

Annual means

temperature

Bioclimatic stage

1 Slouguia 112 Mediterranean red soil 597 17.8 8C Sub-humid at mild winters

2 Testour 112 Calco-marly 597 17.8 8C Sub-humid at mild winters

3 Teboursouk 440 Calco-marly 597 16.5 8C estimation Sub-humid at mild winters

4 Dougga 365 Lime pit 597 17.3 8C Sub-humid at mild winters

5 Tunis 66 Marly 411 18 8C Semi-arid superior

6 Seliana 431 Calco-magnesium 440 16.5 8C estimation Semi-arid

Estimation: means corrected according to elevation.

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290 283

Table 3

List of morphological variables and their codes and meaning according to the International Olive Oil Council

Code Variables Intensity

Vr1 Tree vigour 1 Weak 2 Medium 3 Strong

Vr2 Tree habit 1 Falling down 2 Spread out 3 Erected

Vr3 Canopy density 1 Loose 2 Medium 3 Compact

Vr4 Inter-node length 1 Short 2 Medium 3 Long

Vr5 Leaves shape 1 Elliptic 2 Elliptic-lanceolate 3 Lanceolate

Vr6 Stem length 1 Short 2 Medium 3 Long

Vr7 Stem width 1 Narrow 2 Medium 3 Wide

Vr8 Drupe weight 1 Low (<2 g) 2 Medium (2–4 g) 3 High (4–6 g) 4 Very high (>6 g)

Vr9 Drupe shape 1 Spherical 2 Oval 3. Longer

Vr10 Drupe symmetry (position A) 1 Symmetrical 2 Lightly asymmetrical 3 Asymmetrical

Vr11 Drupe polar diameter location 1 To bottom 2 Medium 3 To top

Vr12 Drupe top (position A) 1 Sharp 2 Rounded

Vr13 Drupe bottom (position A) 1 Cut 2 Rounded

Vr14 Knoll 1 Absent 2 Outlined 3 Evident

Vr15 lenticels 1 Little numerous 2 Numerous

Vr16 Dimension of lenticels 1 Small 2 Big

Vr17 Pit weight 1 Low (<0.3 g) 2 Medium (0.3–0.45 g) 3 High (0.45–0.7 g) 4 Very high (>0.7 g)

Vr18 Pit shape 1 Spherical 2 Oval 3 Elliptic 4 Longer

Vr19 Pit symmetry (position A) 1 Symmetrical 2 Lightly asymmetrical 3 Asymmetrical

Vr20 Pit symmetry (position B) 1 Symmetrical 2 Lightly asymmetrical

Vr21 Pit diameter Position 1 To bottom 2 Medium 3 To top

Vr22 Pit top 1 Sharp 2 Rounded

Vr23 Pit bottom 1 Cut 2 Sharp 3 Rounded

Vr24 Pit surface 1 Smooth 2 Rough 3 Knotty

Vr25 Numbers of grooves 1 Reduced (<7) 2 Medium (7–10) 3 High (>10)

Vr26 Top extremity 1 Without mucron 2 With mucron

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290284

parameters for each tree, plus the vigour, the shape and the

density of the canopy. For stem and leaf parameters we

determined mean length of inter-node, mean length, mean

width and shape of the leaves (ratio length width). For fruit,

polar and transversal diameters, as weight were determined. For

pits, polar and transversal diameters, weight, numbers of

grooves were determined. Some qualitative variables were also

determined and in this case we used the way proposed by the

IOOC (Madrid) to attribute one number to each class of the

variables (Table 3).

2.1. Lipid extraction

We used the Allen and Good (1971) protocol on 5 g of

drupes that were fixed to neutralize lipase activities. Oil

extraction was carried out in chloroform and methanol.

The lipid residue was eliminated with salt water (1% NaCl).

The homogenate was centrifuged at 3000 � g. The chloro-

form phase was conserved in (1:4, v:v) toluene and

ethanol (Vorbeck and Marinetti, 1965). Methylation was

performed in methalonic soda at 65 8C for 15 min.

Transmethylation was performed with boron trifluorure at

65 8C for 5 min. The mixture of methylic esters was run on a

gas chromatograph (Girdel, 300c) with margaric acid (C17:0)

as internal standard. Oil content was determined by the

Soxhlet method, using hexane as extraction solvent. Oil

extraction was applied on 30 cultivars (from 11 locations)

and 13 oleasters, eight in the natural- and five in the agro-

ecosystems.

2.2. Molecular markers

DNA was extracted from leaves freshly collected using the

method described by Besnard et al. (2000). We used the SSR

developed by Sefc et al. (2000), Cipriani et al. (2002) and

Carriero et al. (2002) Oe-SSR-DCA (1, 5, and 9), Oe-SSR-

UDO (12, 17, and 24), and Oe-SSR-GAPU101, respectively,

which were chosen for the size and numbers of alleles. Ladders

and amplification products labelled using the tailing method

with the Fam fluorochrome, were separated onto 8%

polyacrylamide gels enabling reading with a HITACHI scanner

system associated at the FMBIO2 software. Seven olive

microsatellite loci (Table 4) were examined in 52 oleaster and

15 cultivar trees (Table 1) in order to determine the SSR

polymorphism and the relationships between some Tunisian

olive and oleaster trees. PCR reactions were performed in

12.5 ml final volume, containing 40 ng genomic DNA,

0.75 mM MgCl2, 2.5 mM dNTP, 1.25 U Taq polymerase and

0.19 mM M13-Fam. Amplifications were performed in a

thermal cycler Gradient 96 Robocycler, Stratagene, Germany)

The amplification program was: 94 8C for 1 min, 52 8C for

1 min, 72 8C for 1 min, followed by 35 cycles at 94 8C for 30 s,

at 50 8C for 45 s, and 72 8C for 1 min, with a final elongation

cycle at 72 8C for 4 min.

2.3. Statistical analysis

ANOVA was used once verified all data for normal

distribution. Principal Component Analyses were computed

Table 4

List of the SSR used, repeated motif and primer sequences

Locus Repeated motif Directed sequence (50–30) Reverse sequence

Ssr Oe-UA-DCA1 (GA)22 cctctgaaaatctacactcacatcc atgaacagaaagaagtgaacaatgc

Ssr Oe-UA-DCA5 (GA)15 aacaaaatcccatacgaactgcc cgtgttgctgtgaagaaaatcg

Ssr Oe-UA-DCA9 (GA)23 aatcaaagtcttccttctcatttcg gatccttccaaaagtataacctctc

Ssr Oe-Gapu101 (GA)8(G)3(AG)3 catgaaaggagggggacata ggcacttgttgtgcgattg

Ssr Oe-Udo012 (GT)10 tcaccattcttaacttcacacca tcaagcaattccacgctatg

Ssr Oe-Udo017 (TG)11 tcaccattcttaacttcacacca tcaagcaattccacgctatg

Ssr Oe-Udo024 (CA)11(TA)2(CA)4 ggatttattaaaagcaaaacatacaaa caataacaaatgagcatgataagaca

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290 285

on the data using the software Statistica (Sta Soft Inc.,

Johannesburg, ZA). We first look for a global structure using

PCA and then we computed correlation between variables. The

principle of PCA is to compute variables as components of axes

that are independent. We also computed discriminate analyses

by declaring trees as oleaster or cultivar and as oleaster, feral or

cultivar to look for eventual variable threshold. Clusters

analyses and construction of dendrograms were performed with

UPGMA and Ward (1963) algorithm to aggregate Nei (1972)

genetic distances. UPGMA does not weight genetic distances

whereas Ward maximises the differences. The genetic matrix

was treated by Philips software with the drawgram pro-

grammes.

3. Results

ANOVA analysis was performed on all quantitative traits

(pomological and oil parameters) of six Gerboui individuals to

Table 5

Means and variation of traits for fruits, pits and oil composition measured at six c

Organs Traitsa 1b 2 3

Drupes DL (mm) 18.87 13.59 20.74

DD (mm) 14.11 11.58 16.77

DW (g) 1.91 1.05 2.79

DL/DD 1.33 1.17 1.23

Pits PL (mm) 14.64 10.54 13.08

PD (mm) 7.68 6.82 7.22

PL/PD 1.90 1.54 1.82

PW (g) 0.43 0.29 0.44

NPG 8.16 7.22 7

Oil (%) C16:0 19.97 14.65 13.12

C18:0 2.61 3.49 2.52

C20:0 0.46 0.59 0.34

SFA 23.04 18.74 15.99

C16:1 1.68 0.72 0.99

C18:1 52.13 58.18 64.34

C18:2 21.36 21.99 14.40

C18:3 0.9 1.09 0.84

UFA 76.08 81.99 80.58

SA 23.04 18.74 15.99

OC/FW 19.09 17.15 21.43

OC/DM 48.01 40.79 50.11

a Pomological and oil parameters = drupe length (DL), drupe diameter (DD), dru

shape (PL/PD), pit weight (PW), number of fibro vascular furrows (NPG). Palmitic ac

acid (C18:2), linolenic acid (C18:3), arachidic acid (C20:0), saturated fatty acid (SFA

matter (OC/DM).b 1–6 refer to the six locations for Gerboui (Table 2).c S: (***) significant 0.01; (**) significant 0.05; (NS) not significant.

estimate eventual location effects. It did not reveal environ-

mental effect for the main oil parameters such as stearic (C18:0),

linoleic (C18:2) and arachidic (C20:0) acids. The palmitic (C16:0),

and linoleic (C18:1) acid variation was just significant at 5%

whereas oil content on fresh weight and dry matter (OC/FW,

OC/DM), unsaturated (UFA), saturated (SFA) fatty acids,

palmitoleic (C16:1) and linolenic (C18:3) acids varied signifi-

cantly (Table 5). In contrast, most pomological parameters

varied significantly according to location, except the number of

pit grooves (NPG) did not vary and pit shape (PL/PD) varied

just significantly at 5%.

We computed a PCA on the whole morphologic and

physiognomy data to look for a structure (Fig. 1a). Ratios such

as fruit shape (DL/DD), the leaf (LL/LD) and the pit shape (PL/

PD) were declared as supplementary variables. The remaining

parameters (23 parameters) were active variables. Axis 1

explained 22.59% of the inertia, and was mainly made by the

tree vigour (Vr1), mean length of inter-node (Vr4); shape (Vr5),

ultivation areas for the Gerboui cultivar

4 5 6 Sc genetics Sc location

13.53 21.04 13.96 *** ***

12.70 19.31 12.38 *** ***

1.11 4.14 1.47 *** ***

1.06 1.08 1.12 *** ***

9.29 12.15 9.08 *** ***

6.62 8.49 6.27 *** ***

1.40 1.43 1.45 *** **

0.26 0.45 0.27 *** ***

6.4 8.32 8.12 *** NS

15.71 14.75 16.07 *** **

3.25 3.01 2.87 *** NS

0.43 0.47 0.72 *** NS

19.39 18.23 19.66 *** ***

0.95 0.72 1.23 *** ***

46.47 57.88 58.04 *** **

30.50 24.16 19.30 *** NS

0.82 0.86 0.86 *** ***

78.74 83.63 79.44 *** ***

19.39 18.23 19.66 *** ***

19.83 18.32 28.41 *** ***

43.59 42.03 54.73 *** ***

pe weight (DW), drupe shape (DL/DD), pit length (PL), pit diameter (PD), pit

id (C16:0), palmitoleic acid (C16:1), stearic acid (C18:0), oleic acid (C18:1), linoleic

), unsaturated fatty acid (UFA), oil rate/fresh weight (OC/FW), oil content/dry

Fig. 1. (a) Principal Component Analysis on morphological parameters determined on 40 oleasters (16 oleasters from natural ecosystem (o) and 24 oleasters from

agro-ecosystem (O) and 33 cultivars (C) on 7 locations). The fleshes show the cultivars C32 and C33 located in oleasters group. (b) Variables of PCA on

morphological parameters ((+) active variables; (*) additional variables).

Fig. 3. Discriminate analysis on morphological variables determined in 40

oleasters (16 oleasters (O) from natural ecosystem and 24 oleasters from agro-

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290286

length (Vr6), and width (Vr7) of leaves; drupe weight (Vr8),

drupe shape bottom (Vr13) and presence or absence of knoll

(Vr14), pit weight (Vr17), diameter position (Vr21). Axis 2

explained 10.95% of the inertia and is made by tree habit (Vr2),

drupe symmetry (Vr10), pit shape (Vr18), symmetry (Vr19

position A), symmetry (Vr20 position B), shape bottom (Vr23),

and top extremity (Vr22), and presence or absence of mucron

(Vr26). Correlated variables with axes 1 and 2 are displayed in

Fig. 1b. The dispersion of individual on the plan defined by axes

1 and 2 showed that two tree cultivars C32 (Souihli, North

West) and C33 (Awam, North West) overlapped with oleaster

trees. The upper right dial defined by big drupes and pits

contains cultivars only, whereas the dial for small drupes and

pits mixed oleaster and cultivar trees (Fig. 1a).

We then compared cultivars and oleasters from the natural

ecosystem removing oleasters that may be feral (Fig. 2). The

two clouds of trees still overlapped. The two taxa are

discriminate based on morphological parameters but we noted

that the two cultivars Souihli (C32) and Awam (C33) were also

clustered with oleasters. These cultivars produce small fruits.

To compute DCA we declared trees according to their

locations in the ecosystems. The morphological and pomolo-

gical parameters showed a continuous variation. In this analysis

Fig. 2. Principal Component Analysis on morphological parameters deter-

mined on 16 genuine oleasters and 33 cultivars on seven locations once

eliminated feral oleasters (C: variety; O: oleaster from natural ecosystem).

we considered all oleaster and olive trees (Fig. 3) and we they

still overlapped.

PCA for fatty acid composition of 30 cultivar and 30 oleaster

trees (Fig. 4) appeared inefficient to define any relationship

between oleaster and olive. However, the PCA analysis was

applied on fatty acids composition and oil content, the later

appeared more efficient to note the relationship between

Fig. 4. Principal Component Analysis on oil parameters determined on 13

oleasters (8 oleasters from natural ecosystem (O) and 5 oleasters from agro-

ecosystem, and 20 cultivars (C) on seven locations.

ecosystem and 33 cultivars (C) on seven locations.

Fig. 5. Principal Component Analysis on oil content and fatty acids composi-

tion determined on 13 oleasters (8 oleasters from natural ecosystem (o) and 5

oleasters from agro-ecosystem, O) and 20 cultivars (C) on seven locations.

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290 287

oleaster and olive (Fig. 5). Axis 1 of this analysis was correlated

with oil fruit content, rate of C16:1, C18:0 and C18:1. The axis 2

was defined by the rate of C18:2, C18:3 and C20:0. In this case we

noted that most variables defined these axes (axes 1 and 2) of

CPA analysis (oil content, C16:1, C18:1, C18:3) were variable

according to location (shown with Gerboui individual). Fatty

acids which varied according to places for Gerboui are not

effective to establish kinship relationships between cultivars

and oleasters.

The SSR data were used to detect their reliability to establish

genetic relationships among the oleaster and cultivated olive

trees. Clustering analysis using UPGMA method shows six

groups (Fig. 6a). The group-1 clusters most of olive trees, it

contains 12 oleaster trees from several locations (O6, O3, O32,

O42, O9, O34, O8, O40, O26, O22, O35, O13) and 11 out of 15

cultivars (C1, C6, C10, C30, C29, C26, C14, C20, C28, C13,

C22). The group-2 contains nine oleaster and two olive trees

(C8 Chemlali and C27 Roumi). The group-3 contains two

cultivar (Chetoui C2 and Nib C31) and six oleaster trees. The

groups 4 and 5 contain only oleasters. O11 is single. Three

groups contain olive and oleaster trees and two groups contain

only oleaster trees.

Clustering analysis using NJ method (Fig. 6b) shows three

groups. Each group was composed with several clusters. The

group-1 contains 17 oleaster and 2 olive trees (Sayali C1,

Chemlali C8). It was composed with two clusters: cluster-1

contains two olive trees (C1, C8) and cluster-2 contains only

oleasters. The group-2 contains 13 oleaster and 4 olive trees. It

was composed by two clusters that contain olive and oleaster

trees. The group-3 contains 22 oleaster and 9 olive trees. It

divided on seven clusters. Three clusters of this group contain

only oleaster and four clusters contain olive and oleaster trees.

The distribution in mixture of the two olive taxa shows that

probably tightly relationships do exist between some oleasters

and olive cultivar independently of locations.

We examined the clusters supposing that feral oleaster trees

have escaped from cultivars. In Fig. 6a, group 1 is composed of

natural and feral oleasters and cultivars. Sayali C1 is very

closely related to O6 from Beja and Chemlali C8 (group 2) is

related to O61 and O19 from Tunis and Nabeul. Roumi (group

2) is close to Chemlali and to natural oleasters from Tunis. In

Fig. 6b Chemlali group1 and Roumi are in different clusters but

closely related to the same oleasters from natural sites. Chetoui

C2 (Fig. 6b, group 3) is also closely related to two oleasters

from natural sites (O11 Ichkeul – Bizerte, O29 Jendouba). In

Fig. 6a groups 4 and 5 do not include cultivars and In Fig. 6b,

groups 2 and 4 mix natural and feral oleaster and oleasters plus

cultivars, but less consistently than proceeding (Fig. 5).

4. Discussion

We sampled all trees recording ecosystem data, expecting

that oleaster trees will split in genuine and feral in the natural-

and agro-ecosystem, respectively. Oleasters were broadly split

mainly based on morphological parameters declared between

trees from natural ecosystems versus those from the agro-

ecosystems (Table 3).

Cultivars showed a continuous variation broadly by drupe

sizes. The morphological parameters show only partial

separation between oleaster and cultivar trees (Fig. 1a,

Table 1). The class of cultivars with small fruit was close to

oleasters. Because of the vegetative propagation, an oleaster

propagated in an orchard will conserve more or less small fruits.

The later class was intermediate between cultivars with small

fruits and oleaster trees. Once eliminated the class of feral olive

keeping all cultivars together, some cultivated olive trees with

the smallest fruits were still mixed with oleasters (Fig. 2). This

suggests that they may belong to the oleaster pool. Fatty acid

composition was similar between oleaster and cultivated olive

trees, but inefficient to define relationships between them

(Fig. 4) in contrast to the oil content used on PCA analysis

(Fig. 5). Oil content is the most efficient parameter to split

between oleaster and cultivar trees.

The SSR markers revealed that cultivar and oleaster trees

from North Tunisia cluster together in the dendrograms. Based

on similarities we can conclude that they shared close

relationships (Fig. 6a and b).

Based on SSR markers, oleaster and olive trees shared close

relationships. Oleaster forests are natural in Tunisia and several

historical reports (Camps-Fabrer, 1953, 1997) have pointed out

that the oleaster is native in Tunisia. Breton et al. (2006b) have

pointed out that modern Tunisian oleasters are issued from one

refuge area. Moreover, the molecular diversity revealed in

oleasters and a few of Tunisian cultivars (Breton et al., 2006a)

has suggested that a few of cultivars are issued from the

Tunisian oleaster based on assignation and admixture analyses.

It is logic to suppose that cultivars that share tight similarities

with natural oleasters may have they origin in the correspond-

ing oleaster population. However, we have noticed that feral

oleasters are frequent and some cannot be distinguished from

native. Consequently, we cannot exclude that some natural

oleaster could be feral.

Domestication had taken place 5800–5900 years ago for

olive (Zohary and Spiegel Roy, 1975; Galili et al., 1988).

Moreover, cultivars have been further differentiated for

adaptation and uses. At the morphological level, it is likely

Fig. 6. Dendrograms of 52 oleaster (O) and 15 olive cultivated trees (C), based on SSR data, using (a) UPGMA algorithm; (b) Ward algorithm. The arrows indicate the

genuine oleasters and some related cultivars.

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290288

that drupe size has been increased for table uses, but it is also

conceivable that for oil extraction the size of the drupes is not

important to high oil yield. Consequently, this suggests

expecting a genetic structure in cultivars due to drupe size.

However, selection pressures exerted for increasing fruit size

and probably also oil content have diversified the cultivars that

now, based on fruit morphology did not still resemble to

oleaster fruits.

It is now documented that several domestication events

occurred according to pit morphology (Terral et al., 2004)

H. Hannachi et al. / Scientia Horticulturae 116 (2008) 280–290 289

molecular markers such as RAPD, SSRs and cytoplasmic

DNAs (Besnard and Berville, 2002; Breton et al., 2005). Terral

and Arnold-Simard (1996), Terral (1997b), and Terral et al.

(2004) have proved such events in different regions of the

Mediterranean basin. Probably, they occurred concomitantly

with domestication in the Near East (Lanfranchi and Bui, 1995;

Terral, 2000). Thus, present olive cultivars may display

diversity according to domestication origins (Breton et al.,

2006a). The effect of cultivation on wild trees was evaluated by

Terral and Arnold-Simard (1996) on wood anatomy, sap

conduction, growth and development. Terral (1997a) has

carefully shown that after pruning, oleaster trees produced

larger fruits but the ratio length/diameter was not modified.

This suggests that cultivation caused swollen of the fruits and

olive growers consider that cares on such trees, increase

significantly fruit size. However, the design of a rational

experiment to check parameters on olive-oleaster is too long

and expensive.

Seed gene flow is locally detected when in a region cultivars

have been introduced and local oleasters do not carry the same

cytoplasm (Besnard and Berville, 2002). Pollen gene flow is

recurrent in both direction but we do not know their

evolutionary consequence. However, in case of drupe dispersal

they progenies are hybrid olive–oleaster and may blur the

distinction. We effectively obtained a better distinction when

we eliminated feral trees from analyses (Fig. 2). Cultivars that

bear large fruits (>2 cm) are usually used for table (canning)

and cultivars with small fruits (<2 cm) are mainly for

producing oil. However, there are many exceptions, i.e.,

Cailletier producing small fruits is used for canning but only the

big fruits are used for canning, the remaining olives are used for

oil. Fruit size is influenced by fertilization, watering and the

load of each tree. The average size of drupes on a tree is

therefore due to complex genetic and environment parameters

interfering with the year for observation. Domestication has

always been based on a narrow genetic basis and consequently

the reduction in polymorphisms is mainly due to genetic drift.

A priori, the probability to find a locus under selection is weak,

whereas genetic drift affects all the genome of the crop. This

explains that molecular markers such as Isozymes, RAPD, and

SSRs, are efficient to distinguish crop from wild in most of

examined loci (Lumaret et al., 1997; Besnard and Berville,

2000; Breton et al., 2005).

Olive cultivars appeared diversified in Tunisia. One group of

cultivars appeared in tight relationships with local oleasters that

suggest cultivars Chetoui, Chemlali and Roumi could derive

from domestication of oleasters. However, oleasters could also

derive from introduced cultivars. Historical and archaeological

data are scarce. They could say only whether cultivars have been

domesticated locally or have been introduced from elsewhere.

In comparison with other crop/wild couples, we look for

explanations to this situation in the olive/oleaster couple. A

priori we expected morphological differences between olive

cultivar and oleaster trees due to the differences in genotypes

and because they grow in agro- and natural ecosystems,

respectively. Such expectations are reported for plenty of

crop—wild couples (Gressel, 2005). The effect of domestica-

tion in olive is still unclear and if some authors considered fruit

size as main modification (Lumaret and Ouazzani, 2001) other

authors considered rather fruit oil content (Breton et al., 2006b).

Consequently, the olive/oleaster couple is an original example

of crop/wild complex because they are not fully separated.

Olive oil composition displays a range of composition for fatty

acids (saturated, mono-unsaturated, and poly-unsaturated)

according to cultivars and environment that leads to olive oil

appellations, but little attention has been brought to oil

composition in oleaster trees. Surprisingly, oleaster and cultivar

trees display the same range of variation.

The morphological parameters showed a continuous

variation between cultivated olive tree and oleaster, but they

defined two extreme classes based on drupe size (small and big

fruits). These parameters appeared more efficient when they

were associated with ecosystems for the oleaster trees. In

contrast, the oil content and fatty acid composition used

together define oleaster and cultivar relationships. Moreover,

SSR are the most efficient to establish relationships between

oleasters and cultivated olive trees.

Chemlali has unambiguously conserved the fruit morphol-

ogy of an oleaster. The oil content is much high than in other

cultivars and Chemlali could be due to local domestication.

Standards for olive oil as for Protected Geographical Indication

(PGI) appellations fix the lower value for oleic acid (55%).

Variation in oil composition enabled to distinguish cultivars

(Ollivier et al., 2003), but was never used to study oil cultivar

and oleaster trees. A local origin of a cultivar, as Chemlali, may

document geographic labels to valorise products.

Acknowledgements

Thanks are due to Abderazzek Bousselmi & Samira Melek

(Institut de l’Olivier Tunis) for helpful technical assistance.

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