Journal of Phytopathology and Pest Management 7(1): 54-63, 2020
pISSN:2356-8577 eISSN: 2356-6507
Journal homepage: http://ppmj.net/
Corresponding author:
Naima Boughalleb-M’Hamdi,
E-mail: n.boughalleb@laposte.net
54
Copyright © 2020
Genetic diversity of
Fusarium oxysporum
f.sp.
niveum
responsible of watermelon Fusarium
wilt in Tunisia and Spain
Naima Boughalleb-M’Hamdi
1
*, Ibtissem Ben Salem
1
, Najwa Benfradj
1
, Paloma Abad-Campus
2
1
Department of Biological Sciences and Plant Protection, University of Sousse, UR13AGR3, Higher
Agronomic Institute of Chott Meriem, 4042, Sousse, Tunisia
2
Mediterranean Agroforestry Institute, Polytechnic University of Valencia, Camino de Vera s / n,
46022, Valencia- Spain
Abstract
Keywords: Fusarium oxysporum f. sp. niveum; genetic diversity; ISSR; molecular detection; watermelon.
55
1. Introduction
Watermelon (
Citrullus lanatus
(Thunb.)
Matsum & Nakai) is one of the most
important vegetable crops in the world,
with a yield of 109601914.00 tons in
2013 (FAOSTAT, 2016). In Tunisia,
watermelon crop has, also, a high
economic value with a production of
about 500000.0 tons in 2013 (FAOSTAT,
2016). Watermelon Fusarium wilt (FW)
is the most destructive disease to this crop
and is caused by a soil-borne pathogen,
Fusarium oxysporum
f. sp.
niveum
(E.F.
Sm.) Snyder & Han (Boughalleb &
Mahjoub, 2006). This disease is a
production-limiting disease in
watermelon growing regions of the
world.
F. oxysporum
f. sp.
niveum
has the
ability to colonize the root cortex of
watermelon plants and penetrate into the
xylem resulting in an initial loss of turgor
pressure, wilting causing the whole plant
death (Callaghan et al., 2016).
Management of FW is difficult because
of the long-term survival of the pathogen
in the soil and the evolution of new races
(Lin et al., 2009). There are three races of
F. oxysporum
f. sp.
niveum
designated 0,
1 and 2 based on their aggressiveness or
their ability to overcome specific
resistance (Wehner et al., 2008). FW has
also increased in watermelon production
areas infected mainly by the highly
virulent
F. oxysporum
f. sp.
niveum
race
2 more than
F. oxysporum
f. sp.
niveum
race 1 which was also detected
(Boughalleb & Mahjoub, 2006). A major
reason for this difficulty is the inability to
accurately detect the presence and
identity of the fungal pathogen, especially
in plant tissues and soil (Zhang et al.,
2005). Molecular methods have been
developed to discriminate Fon from other
Fusarium oxysporum
(Lin et al., 2010)
and involve a PCR (Lin et al., 2009)
based on randomly amplified
polymorphic DNA (RAPD) detection
system. Zhang et al. (2005) developed a
rapid diagnostic method using a primer
set Fn1/Fn2 to differentiate Fon from
Didymella bryoniae
and a broad group of
other fungi, including three other
F.
oxysporum
formae speciales (Fo). This
technique was rapid and reliable for their
isolates. This primer set, however, was
unable to differentiate Taiwanese Fon
isolates from other
F. oxysporum
formae
speciales. Lin et al., (2010) developed
another primer set Fon1/Fon2 that was
more suitable for differentiating
Taiwanese
F. oxysporum
f. sp.
niveum
from
F. oxysporum
formae speciales. The
set Fon1/Fon2 was also able to detect
F.
oxysporum
f. sp.
niveum
in diseased
watermelon tissue at early stages of wilt.
In the other hand, the genetic diversity is
evidently an important character of
species and populations, determining
their response to changes in
environmental conditions, their survival
and evolvement and an answer to any
confusion in morphological identification
(Leong et al., 2010). The Random
Amplified Microsatellite (RAMS)
technique has been shown to be
applicable for
F. oxysporum
f. sp.
niveum
(Zhang et al., 2005). A study from India
looked at SSRs that could be used in
differentiation of
F. oxysporum
pathogen
lineages (Mahfooz et al., 2012). Appel
and Gordon (1995) demonstrated the
relationship between pathogenic and non-
pathogenic isolates of
F. oxysporum
based on the partial sequence of the
intergenic spacer region of the ribosomal
DNA. Severe outbreaks of Fusarium Wilt
have been observed in Tunisia, causing
yield losses estimated at approximately
100% with a yield losses as high as 60%
(Boughalleb & Mahjoub, 2006). A
diagnostic survey was thus undertaken,
and the results showed that
F. oxysporum
f. sp.
niveum
is the most species
commonly isolated. Although effective,
selection for traits by conventional
56
methods is time consuming and resource
intensive. Having markers linked to traits
of interest can greatly accelerate
conventional breeding and allow timely
release of improved cultivars. The aims
of this study were to characterize
F.
oxysporum
f. sp.
niveum
isolates using
specific primers and their genetic
diversity among
F. oxysporum
f. sp.
niveum
Tunisian population by ISSR
markers.
2. Materials and methods
2.1 Fungal isolates origin
Forty-five
F. oxysporum
f. sp.
niveum
(FON) isolates originated from different
regions of Tunisia and Spain were used
for this study. Spanish isolates, were
kindly provided by Pr. Abad-Campos P.
(Universidad Politécnica de Valencia)
(Table 1). The isolation, morphological
identification and pathogenicity test of
these isolates were done by Boughalleb
and El Mahjoub (2006) who proved that
these isolates are the causals agents of
watermelon Fusarium wilt in Tunisia.
The isolates were maintained in a
collection at the laboratory of Plant
Pathology,
Institut Supérieur
Agronomique de chott Mariem
, Sousse,
Tunisia
2.2 DNA extraction and PCR
identification
Six
Fusarium
isolates (Fon 10, Fon 11,
Fon 14, Fon 15, Fon 16 and Fon 17) were
grown in 20 ml of potato dextrose agar
(PDA) for 5 days at 28°C. Genomic
DNA was extracted using the E.Z.N.A.
Plant Miniprep Kit (Omega Bio-tek,
Norcross, GA, USA) following
manufacturer’s instructions. The specific
primers Fn-1
(5'-
TACCACTTGTTGCCTCGGC-3') and
Fn-2
(5'-TTGAGGAACGCGAATTAAC
-3') sequences were amplified with PCR.
Each PCR reaction mixture contained
1.25×PCR buffer, 1.25 Mm MgCl
2
, 1 μM
each dNTP, 0.5 μM of each primer, 0.1
U of DNA Taq polymerase (Dominion
MBL, Córdoba, Spain), and 1 μL of
template DNA. The PCR reaction mix
was adjusted to a final volume of 13 μL
with water (Chromasolv Plus, Sigma-
Aldrich, Steinheim, Germany). DNA
amplification was performed using PCR
amplifications on a Peltier Thermal
Cycler-200. The program consisted of an
initial step of 5 min at 94°C, followed by
35 cycles of denaturation at 94°C for 1
min, annealing at 56°C for 1 min, and an
elongation at 72°C for 2 min. A final
extension was performed at 72°C for 7
min. The volume of 5 µl of PCR
products was subjected to electrophoresis
in 0.7% agarose gels (agarose D-1 Low
EEO; Conda). The amplification
products were examined under UV light,
after ethidium bromide staining, and
photographed using Alpha digidoc 1000
system (Alpha Innotech Corporation,
USA) gel documentation system, for
scoring the bands. The 100 bp DNA
ladder (Biotools, Madrid, Spain) was
used as molecular size marker.
Amplifications from each DNA sample
were repeated at least twice. PCR
products were purified using the High
Pure PCR Product Purification kit
(Roche Diagnostics). The PCR products
were visualized in 1.5% agarose gels
(agarose D-1 Low EEO, Conda, Madrid,
Spain) and molecular weights were
estimated using the GeneRuler 100 bp
Plus DNA Ladder (Fermentas, Carlsbad,
CA).
57
Table 1: Characteristics of Fusarium oxysporum f.sp.
niveum isolates used for molecular identification with
specific primers.
Isolates
Origin
Race
Fon1
Spain
0
Fon2
Spain
0
Fon3
Spain
2
Fon4
Spain
2
Fon5
Spain
2
Fon6
Spain
1
Fon7
Spain
1
Fon8
Spain
1
Fon9
Jebniena
-
Fon10
Testour
-
Fon11
Testour
2
Fon12
Sebbala
-
Fon13
Sebbala
-
Fon14
Oued mliz
-
Fon15
Chébika
-
Fon16
Oued Mliz
-
Fon17
Metouia
2
Fon18
Oued Mliz
1
Fon19
Oued Mliz
-
Fon20
Gafsa
-
Fon21
Skhira
2
Fon22
Skhira
0
Fon23
Jebniena
-
Fon24
Chebika
-
Fon25
Skhira
0
Fon26
Gafsa
-
Fon27
Beja
-
Fon28
Chébika
2
Fon29
Médenine
-
Fon30
Mareth
-
Fon31
Gafsa
1
Fon32
Ben Aoun
-
Fon33
Metouia
2
Fon34
Mareth
-
Fon35
Gafsa
2
Fon36
Skhira
1
Fon37
Gafsa
1
Fon38
Skhira
-
Fon39
Mareth
-
Fon40
Jebniena
-
Fon41
Gaafour
-
Fon42
Sebbala
-
Fon43
Testour
-
Fon44
Beja
-
Fon45
Gaafour
-
2.3 Genetic diversity
2.3.1 Random amplified microsatellites
Twenty-six
F. oxysporum
f. sp.
niveum
(FON) isolates has been used for RAMS
test (FON1, FON 2, FON 3, FON 5, FON
6, FON 7, FON 8, FON 9, FON 12, FON
13, FON 16, FON 18, FON 20, FON 23,
FON 25, FON 29, FON 31, FON 32,
FON 33, FON 34, FON 35, FON 37,
FON 40, FON 42, FON 44 and FON 45).
Extracted DNAs were amplified using
58
ISSR primers. Initially, to select primers
which produce polymorphic bands for the
characterization of
F. oxysporum
f. sp.
niveum
isolates, a total of six ISSR
primers were evaluated for their capacity
to produce polymorphic, scored and
reproducible DNA fingerprint patterns.
The primers included were two
dinucleotide, and four trinucleotide
repeats with or without 5’ anchors:
5’DVD (CT)
7
C (Mahuku et al., 2002) ,
5’YHY(GT)
7
G, 5’DHB(CGA)
5
(Hantula
et al. 1996), 5’DDB(CCA)
5
(Hantula et
al. 1997), 5’(GAC)
5
, 5’(GTG)
5
(Pina et
al., 2005) (Tib Molbiol, Berlin). Each
PCR reaction contained 1 PCR buffer,
2.5 mM MgCl
2
, 100 mM each dNTPs,
0.4 mM of each primer, 0.5 U DNA Taq
polymerase (Dominion MBL, Cordoba)
and 0.55 ng template DNA were
quantified spectrophotometrically. The
PCR reaction mix was adjusted to a final
volume of 25 ml with water (Chromasolv
Plus, Sigma-Aldrich, Steinheim). PCR
amplifications were performed on a
Peltier Thermal Cycler-200 (MJ
Research, Waltham, Massachusetts). The
program consisted of an initial step of 5
min at 95°C, followed by 34 cycles of
denaturation at 95°C for 1 min, annealing
at 41°C (CT)7, 58°C (GT)7, 64°C
(CCA)5, 61°C (CGA)5, 46°C (GAC)5,
56°C (GTG)5 for 1 min, and an
elongation at 72°C for 2 min. A final
extension was performed at 72°C for 10
min. PCR products were separated in 1.5
% agarose gels (agarose D-1 Low EEO,
Conda, Madrid), stained with ethidium
bromide and visualized under UV light.
Gene Ruler 100 bp DNA ladder plus was
used as a molecular weight marker (MBI
Fermentas). All ISSR assays were
repeated at least three times, and only
clear and reproducible bands were
considered.
2.4 Data analysis
Fragments amplified by the ISSR
primers were visually scored as present
(1) or absent (0); Fragments with the
same size were considered equal. The
genotype profiles produced by amplified
RAMS markers were scored manually.
The data were assembled in a unique
matrix and analyzed. The similarity
matrix was used to construct
dendrogram. Data from the genetic
distance values were used as inputs in
order to generate a dendrogram using the
unweighted pair-group method with
arithmetic averaging (UPGMA) as
implemented by MEGA software.
3. Results
3.1 PCR amplification of Fon isolates
DNA
In this study, the PCR-based
identification technique with the two
specific primers Fn-1/Fn-2 used for some
F. oxysporum
f. sp.
niveum
isolates was
able to amplify a unique DNA fragment
of approximately 800 bp for all
F.
oxysporum
f. sp.
niveum
isolates
originated from Tunisia and from Spain
as shown on Figure 1.
3.2 Genetic diversity
Six ISSR primers were tested
individually using
F. oxysporum
f. sp.
niveum
isolates DNA to determine which
primer exhibiting a profile of light bands
in agarose gels and revealed
polymorphisms level between
F.
oxysporum
f. sp.
niveum
isolates.
Seventy-one bands were amplified by
59
four ISSR primer combinations.
Diversity in the banding patterns
obtained by DNA fingerprinting was
always >50% and allowed us to
distinguish all the isolates tested,
according to number and size of the
fragments, which ranged from 300 to
2800 bp. The most polymorphic loci
were the trinucleotide primer CGA with
22 bands differentiated with molecular
sizes ranging from 400 to 2000 bp,
followed by CCA which produced 20
bands between 300 and 2800 bp.
However, the two other trinucleotides
primers GTG and GAC generated only
15 bp each, with sizes comprised
between 550 and 1500 and from 600 to
2000, respectively.
Figure 1: Agarose gel electrophoresis of PCR-amplified products using the specific
primers Fn-1/Fn-2. M: 100-bp DNA ladder marker.
RAMS banding patterns generated by
primers CGA (A), GTG (B), CCA (C) and
GAC (D) of FON isolates. (1: Fon1; 2:
Fon2; 3: Fon3; 4: Fon5; 5: Fon6; 6: Fon7;
7: Fon8; 8: Fon9; 9: Fon12; 10: Fon13; 11:
Fon16; 12: Fon18; 13: Fon20; 14: Fon23;
15: Fon25; 16: Fon29 ; 17: Fon31 ; 18:
Fon32 ; 19: Fon33 ; 20: Fon34 ; 21:
Fon35; 22: Fon37 ; 23: Fon40; 24: Fon42;
25: Fon44 and 26: Fon 45) ; M: 100-bp
DNA ladder marker. Reproducibility of
amplified bands yielded by these four
primers was confirmed with CGA and
CCA, and the first primer was chosen to
analyze the intraspecific genetic variability
of
F. oxysporum
f. sp.
niveum
by Cluster
analysis based on Nei’s coefficient and
UPGMA method.
The forty-five genotypes
were grouped into six main clusters at a
similarity index value above 0.5 (Figure 3).
Within the groups, the most abundant was
Cluster VI comprising 39 isolates and the
Nei’s coefficient values ranged from 0.28
to 0.97, indeed, both isolates FON6 and
FON7 race 1 from Spain registered the
similarity
coefficient of 0.97.
The highest
similarity value of 0.75 (97%) occurred
between five FON isolates FON33
(Metouia, race 2), FON35 (Gafsa, race 2),
FON37 (Gafsa, race 1), FON40 (Jbeniana)
and FON42 (Sebbala)), and between the
two FON isolates FON13 (Sebbala) and
FON29 (Medenine). Only cluster I
comprised a single genotype FON23
(Jbeniana) which could be considered as an
out grouping sample. While, clusters II
60
consisted of two isolates FON12 (Sebbala)
and FON34 (Mareth), these three isolates
appeared to be distinct from all the other
genotypes (Figure 2).
Figure 2: Dendrogram of 26 isolates of Fusarium oxysporum f.sp. niveum. Data were
generated using unweighted pair group method of arithmetic means (UPGMA) using the
Mega.5.1 software based on genetic distance coefficient.
Obtained results indicated that isolates
FON5 and FON3 from Spain fall among
Tunisian isolates, and may this indicate
for a possible close relationship between
these isolates and Tunisian isolates, while
the rest of Spanish isolates FON1, FON2,
FON4, FON6 formed a distinct cluster
than Tunisian isolates suggested the
existence of a highly variable genetic
population in both country.
61
4. Discussion
The first step in Fusarium wilt
management is an accurate diagnosis and
detection. Control recommendations are
usually made following putative
diagnosis. Additional research on rapid
detection techniques for
F. oxysporum
f.
sp.
niveum
and economical methods for
field level identification of
F. oxysporum
f. sp.
niveum
races will improve
management of this reemerging disease
(Everts et al., 2015). All heritable
information is potentially accessible
using DNA sequencing. Consequently,
DNA sequence analysis is expected to
provide the solution to the problem
associated with the taxonomy and
phylogeny of
Fusarium
species in
general, and
F. oxysporum
in particular
(Lin et al., 2010). In the present study,
the molecular characterization by PCR
using specific primers couple Fn-1/Fn-2
of Tunisian
F. oxysporum
f. sp.
niveum
isolates was successfully accomplished.
And obtained result was in agreement
with those reported by Zhang et al.
(2005) which indicated that these primers
can be beneficial for rapid detection of
F.
oxysporum
f. sp.
niveum
isolates
affecting watermelon, and could also be
helpful in epidemiological and etiological
studies to monitor the behavior of the
pathogen in diseased plants. Genetic
diversity within populations is an
important indicator referring to a
population’s potential adaptation to
environmental changing and to inform on
the appropriate method of control (Rebib
et al., 2014). Genetic control of the
disease is crucial in managing these
pathogens. Identification of single
nucleotide polymorphism (SNP) markers
linked to resistance can be a powerful
tool for the introgression of valuable
genes needed to develop
Fusarium
-
resistant varieties. In
F. oxysporum
,
DNA fingerprinting involving
hybridization with SSR-containing
probes has been used in the classification
of some
formae specialis
(Barve et al.,
2001). In this study, RAMS analysis
revealed a moderate genetic diversity
between
F. oxysporum
f. sp.
niveum
races. This indicated a low degree of
polymorphism. Similar results were also
obtained with
F. oxysporum
f. sp.
erythroxyli
(Nelson et al., 1997). The
limited genetic variability observed
among isolates would be expected for a
pathogen that became widespread
relatively quickly as a result of an
increase in production of the host plant
(i.e. distribution by seed) (Belabid et al.,
2004). The current study suggested that
some Tunisian and Spanish
F.
oxysporum
f. sp.
niveum
isolates were
indeed genetically similar. However,
isolates from other watermelon-growing
regions of the world should be tested to
determine whether all the Tunisian
isolates are related to other genetic
groups from watermelon around the
world. Since most of the markers were
developed using pairs of ISSR primers,
however, the use of ISSR primers in
pairs, rather than individually, may be
more efficient to develop this technique.
By considering the cultivar and
geographic origin, generally we could
not find a relationship between virulence
and cultivar. Hirano and Arie (2009)
confirmed this result, with no stable
correlation between phylogeny and
pathogenic-group. The SSR primers
should be particularly useful because the
fungus is one of the most common
Fusarium
spp. residing in the soil
62
environment and that it includes
pathogens, biological control agents and
saprophytes. Their application should
also enhance understanding relatedness
of formae speciales in the
F. oxysporum
complex.
Acknowledgements
This study was financed by
UR13AGR03, University of Sousse,
Tunisia.
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