Asian J Agri & Biol. 2017;5(4):202-213.
AJAB
Original Research Article
Pathogenic activity of Fusarium equiseti from
plantation of citrus plants (Citrus nobilis) in the
village Tegal Wangi, Jember Umbulsari, East Java,
Indonesia
Dalia Sukmawati* and Mieke Miarsyah
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Campus A,
Jl. Rawamangun Muka East Java. Hasyim Ashari Building, 9th floor, Indonesia.
Received:
June 21, 2017
Accepted:
August 23, 2017
Published:
December 17, 2017
*Corresponding author email:
Dalia-Sukmawati@unj.ac.id
Abstract
Some fungi associate with fruit and dead or dying plant tissues as pathogen on a wide
range of agricultural plants. This work comprised the isolation, identification and
pathogenic assay from citrus fruit plantations (Citrus nobilis), Tegal Wangi, Jember,
Jawa Timur, Indonesia with 34 mold isolates obtained. Color of 7-day-old colonies
cultures on PDA was dominated by white while the reverse was whitish to pale yellow.
Based on the pathogenicity test, four representative mold isolates were identified as
pathogenic fungi using the sequence of internal transcribed regions Spacer (ITS) in the
region of ribosomal DNA selected. Molds were identified as UNJCC (D5) D5K3A
(Fusarium equiseti with 98% homology bootstrap value 100%), UNJCC (D6) D6.
K3.B (F. equiseti with 99% homology bootstrap value of 100%), and UNJCC (D7)
D7.K2.B (F. equiseti with 99% homology bootstrap value 66%) and UNJCC (D8)
D3.K2.B (F. equiseti with 99% homology bootstrap value of 55%). F. equiseti is a
main source of trichothecenes, zearalenone and other mycotoxins which can cause
serious disease in humans and animals. Present information regarding the Fusarium
equiseti damage to citrus leaves can be used help identify the occurrence of pathogenic
fungi in citrus fruit plantations.
Keywords: Citrus nobilis, Fusarium equiseti, Pathogenicity, ITS rDNA region
(Ghuffar et al. 2017). Aspergillus, Penicillium,
Rhizopus, Fusarium, Alternaria and Mucor species are
major disease source in citrus (Akhtar et al., 2013).
Semangun (2007) reported Fusarium and Aspergillus
in citrus fruits. Moscoso-Ramirez et al. (2013)
reported mold Penicillium digitatum which resulted in
whole green fruit and damaged stem with rotten fruit
harmful to human health (Sangwanich et al., 2013;
Sperandio et al., 2015. Plant diseases are of interest
due to wide range of pathogens present in the
rhizosphere especially fungi such as Colletotrichum
sp. (Than et al. 2008; Cannon et al. 2012), Fusarium
Introduction
Orange is one of the main crop in the village of Tegal
Wangi, Indonesia which can help improve the wellbeing of its citizens in terms of economic
development. Constraints faced by the farmers is a
decrease in quality of citrus caused by mold destroyer
(Sangwanich, 2013). Many citrus plants around
agricultural land had suffered damage of tree trunks as
brownish, mongering, leaves and fruits having
wrinkles with black spots around on their surface.
Mold cause serious losses annually on citrus fruit
Asian J Agri & Biol. 2017;5(4):202-213.
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Dalia Sukmawati et al.
spp. (Tewoldemedhin et al. 2011), Fusarium
culmorum, F. Oxysporum, F. Sporo-trichioides,
Alternaria alternata, A. tenuissima, A. arborescens, A.
Infectoria (Lee et al. 2005), Alternaria spp. (Serdani
et al. 2002).
Apple trees are susceptible to wide variety of
pathogens such as Fusarium equiseti (Alonso et al.,
2015). Johnston (2008) isolated and identified a wide
range of Penicillium molds from Litchi chinensis Sonn
in South Africa using rDNA ITS regions. Wani (2011)
reported Colletotrichum coccodes, C. dermatum, and
C. gleosporoides cusing anthracnose in tomato fruits.
Damage inflicted blackish-colored black wounds with
concave pink colored mycelium growing (Rodrigues
and Menezes 2005; Merr et al., 2013). Thiyam and
Sharma (2013) showed fungal diseases from local
fruits
containing
Aspergillus,
Acremonium,
Alternaria, Aspergillus, Chalaropsis, Cladosporium,
Curvularia, Fusariumm, Mucor, Penicillium,
Rhizopus and Trichoderma in all fruits during storage.
In rainy season, the loss of production in infected fruits
by molds can reach 100% (Arauz, 2000). Mold
attacking citrus has become one of the limiting
production factor in world citrus production (Timmer
et al., 2000; Poppe et al., 2003). Fungi a universal
pathogen that causes diseases on many fruits such as
mango, papaya, and apple and especially in wither
caused on citrus due to this pathogen. In this study
isolation, identification and testing of highly
pathogenic mold of citrus plantation of Siam in The
Tegal Wangi Village, the control efficiency of yeasts
isolate against pathogenic fungi from citrus leaves was
investigated.
Fig. – 1: Sampling location
sieved) until dilutions 10-5, 10-6 and 10-7, of which 50
μL and shaked at 200 rpm for 3 hours. Samples
collected were seeded by duplicate through diffusion
technique on Petri dishes of 90 mm diameter
containing one of the following artificial Potato
Dextrose Aga (PDA) and Czapecks agar medium.
After incubation (25oC for 7 days) the number for each
fungi was calculated. All fungi were cultured using a
single spore technique on PDA and Czapecks medium.
After incubation, fungi were identified by their
macroscopic characters such as colony color, pigment
production and mycelium characteristics, and through
their microscopic characteristics like the presence of
spores and arrangement of sporulation structures
examined with a compound microscope (Carl Zeiss) at
1000X. All fungi were subcultured on PDA medium
and stored at 4oC. Other isolation methods were also
performed based on Farrag (2011) with modifications.
Isolation was performed with mold using agar on
infected leaves. We used a modified dental needle to
the hilt. Each piece of medium was incubated on PDA
medium at room temperature (± 30°C).
Materials and Methods
Sampling location
Location of the sampling site was Desa Krangkongan,
Village Tegal Sari, Jember Umbul Wangi, East Java,
Indonesia (Fig. 1). Samples were collected from seven
citrus trees located in the four corners and center of the
total area from orchards (Bagyaraj and Rangaswami,
2007).
Isolation of fungi
For isolation of fungi from citrus plants, the agar
method was applied. Fungal pathogens responsible for
disease were isolated from leaf surface collected from
sampled trees. From the samples obtained, serial
dilutions (1:10) were prepared in test tubes with 9 ml
sterile water, adding 1 g of leaf samples (previously
Asian J Agri & Biol. 2017;5(4):202-213.
Purification of Pathogens
Pathogen fungal cultures obtained were purified by the
single spore isolation method (Choi et al. 1999). Pure
cultures were maintained on PDA slants for further
study and preserved with L-drying method in the
203
Dalia Sukmawati et al.
University
(UNJCC).
Negeri
Jakarta
Culture
for 15 sec, annealing at 56°C for 30 sec, extension at
68°C for 1 min (40 cycles); and 70°C for 10 min in
final extension (1 cycle) (Sukmawati et al. 2015). All
PCR
results
were
visualized
using UV
transilluminator after electrophoresis through a 1%
agarose gel and ethidium bromide staining. PCR
products were sent to 1stBASE (Malaysia) for
sequencing.
Collection
Identification of macroscopic and microscopic
fungi
Fungal cultures identification was based on
macroscopic characteristics like colony morphology,
color, texture, shape and appearance and microscopic
characteristics like conidia shape, hyphe color,
concentric zone, and pigmentation (Navi et al. 1999).
Phylogenetic analysis
Nucleotide sequence datasets were automatically
aligned using the MUSCULE program. Multiple
alignments were carried out in MEGA6 (Molecular
Evolutionary Genetics Analysis Version 6.0) (Tamura
et al. 2007) and sequences retrieved from NCBI
(http://www.ncbi.nlm.nih.gov). Phylogenetic analysis
was conducted using the maximum likelihood (ML)
method in MEGA6. ML analysis was tested by
bootstrap (BS) analysis using 1000 replications. BS
values of 50% or higher were shown and NR 130661
Candida orthopsilosis ATCC 96139 were used as
outgroups.
Pathogenicity test
Pathogenicity test used the agar smear method based
on the principle of Koch's postulates. Parameter in
testing was based on the measurement of disease
incidence and severity using the formula described
earlier (Embaby et al., 2013). Stages of the pathogenic
test included sterilization of leaf surface and
inoculation the pathogenic fungi on leaves. Leaf
surface sterilization was performed by washing citrus
leaves using sterilized water then soaked in a solution
of sodium hypochlorite (NaOCl) 0.5% for one minute
and further soaked in 70% alcohol for one minute
before rinsing with sterilized water. Inoculation of the
pathogenic fungi was done with an agar smear method
based on Chutia et al. (2009). Test fungi were
inoculated with 5mm mycelium plugs from 7-days-old
cultures and observation was for 10 days at a
temperature of 25-27oC. Growth of fungal species was
recorded after one week of incubation and the
percentage inhibition was computed after comparison
with the control. Lime leaves were placed with 99%
moisture and placed in the plastic tubs containing
fruits before incubation. Observation was recorded
after 10 days when kept at 25-27oC (Agrios, 2005).
Result and Discussion
Isolation of fungi
Physically observation of citrus fruits showed light
brown color with bark peeling and brittle. Plant leaves
were developing mold pathogen with blackish leaf
spots blackish, speckled blotch, freckle spot, hard spot
(shot-hole spot), yellowish, blackish sooty mold
developed on the leaves or fruit fouled. Leaves turned
yellowish but larger veins remained slightly
green which easily fell (Fig. 2). Citrus spp. often got
affected by fungal pathogens causing heavy fruit
losses (Stammler et al. 2013). General symptoms of
citrus plant infected by pathogenic fungi included leaf
spots and chlorosis (Teixeira et al. 2005). Five plant
pathogenic fungi such as Alternaria alternata,
Rhizoctonia solani, Curvularia lunata, Fusarium
oxysporum and Helminthosporium oryzae can infect
citrus with black spots on infected leaves (Chutia et
al., 2009). Plant pathogen included Zygomycetes,
Ascomycetes and Basidiomycetes (Sukmawati, 2016;
Teixeira et al. 2005). Fungi need nutrient from plant
for their metabolism.
A total of 34 fungal isolates from citrus leaves was
obtained showed diverse morphology of molds on
stems and leaves. Mold isolates from the leaves were
white (38.2%); light ochre-flesh (26.5%); flesh
(8.8%); ochre (5.9%) and others (20.6%) (Table 1).
Identification of fungi using rDNA sequence
Identification of pathogenic fungi was done using the
rDNA on ITS region described by White et al. (1990).
Reaction mixture contained specific primers for ITS
(Internal Transcribed Spacer region) rDNA region
with
primer
ITS4
(5’TCCTCCGCTTATTGATATGC-3’) and primer ITS5
(5’-GGAAGTAAAAGTCGTAACAAGG-3’). PCR
reaction using PuReTaq Ready-To-Go PCR
Beads (GE Healthcare) total reaction 25 µL, each
reaction contained: 15 µL nuclease free water (NFW)
dilution in PuReTaqTM Ready-To-Go (RTG) PCR
beads (GE Healthcare), 10 pmol primer ITS4 and ITS5
(100 ng DNA template). PCR condition: denaturation
at 95°C for 2 min (1 cycle); post denaturation at 94°C
Asian J Agri & Biol. 2017;5(4):202-213.
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Dalia Sukmawati et al.
Mold isolated from leaves had sporulation and
pigments (Sukmawati, 2016). Citrus is affected by
several mold colors like green affecting fruit quality
responsible for major postharvest problems like
market losses. Their colors helped in preliminary
identification like green and blue mold infections were
caused by Penicillium spp. (Akhtar et al. 2013) and
brown by Colletotrichum gloeosporioides Penz
(Chung et al. 2002)
c
b
a
Fig. – 2: Citrus leaves infected with pathogen fungi a: leaves from first
plant; b: leaves from second plant and c: leaves from third plant
Table – 1: Morphology of molds isolates on Potato Dextrose Agar (PDA), 3 days’ incubation at 27--280C.
Morphology colony of molds
No.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Code of isolate (UNJCC)
D2. K1. B
D3.K2. B
D4. K1. A
D4. K1. B
D5. K1. A
D6. K3
D7.K2. A
D7.K2. B
D7. K3
D8. SP. K1. B
D8.SP.K2. A
D8.SP.K2. B
D8. K1
D1. K3
D2. K1. A
D3. K1
D2. K2
D5. K1. B
Colours
Margin
Sporulation
White
White
White
White
White
white
White
White
White
White
White
White
White
Light Ochre
Light Ochre
Light ochre
Light Flesh
Light Flesh
White
White
White
White
White
White
White
White
White
White
White
White
White
Light Ochre
Warm Grey I
White
Cinnamon
White
Olive Green
Olive Green
Olive Green
Cinnamon
Cedar Green
Grey green
Cedar green
Cedar Green
-
Asian J Agri & Biol. 2017;5(4):202-213.
205
Reverse of
colony
Light Flesh
Cinnamon
Cinnamon
Burnt ochre
Ochre
light flesh
white
Light Flesh
Light Ochre
White
White
White
Cream
Gold Ochre
Cinnamon
Light Ochre
Light Ochre
Light Ochre
Diameter (L/W) cm
19.29 / 19.24
25.97 / 23.72
26.78 / 30. 46
22.33 / 26.84
31.06 / 32.70
26.06 / 24.84
28.15 / 28.32
26.25 / 27.54
77.69/60.30
37.44 / 39.29
27.69 / 25.60
46.66 / 52.96
82.68/45.00
42.25 / 62.77
18.74 / 20.32
72.84 / 82.36
62.85/55.00
31.21 / 29. 78
Dalia Sukmawati et al.
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
D5. K2
D7. K1
D8.K2. A
D8.K2. B
D6. K1. A
D6. K1. B
D6. K2
D3. K3
D8. K3
D1. K1. A
D1. K1. B
D1.K2. A
D2. K3
D3.K2. A
D5. K3
D8.SP. K1.A
Light flesh
White
Olive Green
Cinnamon
Light Flesh
White
Light Ochre
Light Flesh
White
Light ochre
Ochre
Light Flesh
White
Ivory
Light Ochre
Medium flesh
Dark flesh Juniper Green Light Flesh
Medium flesh
Dark flesh
Ochre
Medium flesh
Light flesh
Light ochre
Ochre
Light Ochre
Gold ochre
Ochre
White
Gold Ochre
Cinnamon
Cold grey I
Light Flesh
Caput Mortum
Silver
Cold Grey II
Burnt Ochre Brown Ochre Warm Grey II Raw Umber
Dark Flesh
White
Light Flesh
Gold ochre
White
Cinnamon
Cedar green
White
Olive green
Olive green
White
Soft black
Juniper green
D5. K1. A; UNJCC (D3) D4.K1.B; UNJCC (D4)
D8.SP.K1.A; UNJCC (D5) D5.K3.A; UNJCC (D6)
D6.K3.B ; UNJCC (D7) D7.K2.B; and UNJCC (D8)
D3.K2.B. According to postulant Koch the
pathogenicity test showed that four molds isolate were
pathogenic (Table 2; Fig. 3). The value of the disease
incidence and disease severity was indicated the
highest by the isolate with code (D8) D3.K2. B (85%;
100%) (Fig. 3).
Test results proved that the four isolates with original
mold causing damage in citrus leaves by highly
pathogenic in accordance of Koch's postulates.
According to Carla and Renata (2012), Koch's
postulates can be used as a criterion of highly
pathogenic isolates of a mold. The principle of Koch's
postulates consists of: 1) Isolates can be isolated from
the diseased host; 2) Isolates can be grown in the
laboratory; 3) Isolate the results of isolation will give
the same symptoms of the disease on the host, if reinoculation; 4) Isolates will have the same
morphology.
Mold isolated from citrus leaves showed 14 isolates
(42%) with color variations among others; green,
brown, and black (Table 1). Leaf is one of the source
of nutrients and living place of mold isolates. Molds
of citrus plants had been characterized by the colony
with sporulation such as black, brown, green and
yellow greenish (Chutia et al. 2009; Mohammed et al.
2013; Nasiru et al. 2015). Spores are asexual structures
in the mold which is useful in deployments to the host
(Akhtar et al. 2013; Sperandio et al. 2015). Mold
pathogen had various colors like white, light, dark
fleash, medium flesh ochre ivory, gold, cadmium and
Hyalin (Akhtar et al. 2013; Chutia et al. 2009;
Mohammed et al. 2013; Nasiru et al. 2015).
Pathogenicity test
Selection of 8 representative isolates was based on
ability of sporulation. The representative mold
consisted UNJCC (D1) D8.SP.K1.B; UNJCC (D2)
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37.35 / 46. 86
81.62/46.00
45.47 / 79.17
46.43 / 81.84
46.99 / 76.46
39.59 / 60.07
42.45 / 72.42
44.07 / 75.75
82.5/45.67
21.45 / 21.26
18.09 / 19.42
51.81 / 58.22
27.06 / 25.92
26.54 / 24.64
27.96 / 18.74
55.33 / 65.60
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Dalia Sukmawati et al.
Table – 2: The pathogenicity test results 8 representatives of pathogen mold incubation 10 day at 30 0C
Isolate Code
(UNJCC)
Characteristic of observation (day)
d0
d1
d3
d5
d10
(D1)D8. SP. K1. B
Green leaves
Green leaves
-
-
-
(D2)D5. K1. A
Green leaves
Green leaves
-
-
-
(D3) D4. K1. B
Green leaves
Green leaves
-
-
-
The color of the
leaves becomes
brown to black
The tips
of leaves first, but
gradually the dark
coloring
The color of the
leaves becomes brown
to black
The tips
of leaves first, but
gradually the dark
coloring
(D4) D8. SP. K1. A Green leaves
(D5) D5. K3. A
(D6)D6. K3. B
(D7) D7.K2. B
(D8) D3.K2. B
Green leaves
Green leaves
There are several The color of the
causes of brown leaves becomes
spots
brown to black
The tips
There are several
of leaves first,
causes of brown
but gradually
spots
the dark coloring
The tips
of leaves first,
but gradually
There are several
the dark
causes of brown
coloring with
spots
growing
mycelium = 7.28
mm
The tips
of leaves gradually
The leaves first, but
the dark
gradually the dark
coloring with
coloring
growing mycelium
= 8.45 mm
Green leaves
The leaves
become brown to
There are several dark with
causes of brown growing
spots
mycelium length
= 11.59 mm;
width = 2.54 mm
The leaves
become brown to
dark with growing
mycelium with
white in the
margin, with
length = 13,61
mm; width = 3,83
mm
The leaves become
brown to dark with
growing mycelium
with white in the
margin, with length =
15.61 mm; width =
4,83 mm
Green leaves
The leaves
become brown to
There are several dark with
causes of brown growing
spots
mycelium length
= 14.29 mm;
width = 4.32 mm
The leaves
become brown to
dark with growing
mycelium length =
15.72 mm; width
= 4.39 mm
The leaves become
brown to dark with
growing mycelium
length = 17.72 mm;
width = 6.39 mm
Asian J Agri & Biol. 2017;5(4):202-213.
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Dalia Sukmawati et al.
Based on ITS regions of rDNA sequence data, four
pathogenic isolates mold consisted following species
as UNJCC (D5) D5K3A (F. equiseti) with similarity
values 98%; UNJCC (D6) D6. K3. B (F. equiseti);
UNJCC (D7) D7.K2.B (F. equiseti); and UNJCC (D8)
(D3.K2.B) (F. equiseti and F. oxysporum sp.
fragariae) with similar values 99%, which indicated
high similarity to their closest species (Fig. 5, Table
4). Based on phylogenetic analysis, four isolates were
found for F. equiseti.
b
a
d
c
600 bp
Fig. – 3: Pathogenicity test a: UNJCC (D5)
D5.K3.A; b: UNJCC (D6) D6.K3.B ; c: UNJCC
(D7) D7.K2.B and d: UNJCC (D8) D3.K2.B
incubation 10 day.
D5
Macroscopic observation and identification of
molecular ITS region
Identification of molecular sequence analysis done
using ITS rDNA region. PCR results on isolates
obtained mold band with long bases 600 bp (Fig. 4).
D6
D7
D8
Fig. – 4: Electrophoresis results UNJCC (D5)
D5.K3.A; UNJCC (D6) D6.K3.B ; UNJCC (D7)
D7.K2.B and UNJCC (D8) D3.K2.B
Table – 3: Identification result of mold isolates from the leaves of citrus from Tegal Wangi Village based
on ITS region of rDNA.
Isolate code
(UNJCC)
Closely related
(D5) D5K3A
Max
scores
Total
score
Query
score
E-value
Similarity (%)
Accession
number
F. equiseti
953
953
97%
0
98%
AY928409.
(D6) D6K3B
F. equiseti
1018
1018
99%
0
99%
KX588103.
(D7) D7K2.B
F. equiseti
987
987
98%
0
99%
KX588103.
(D8) D3.K2B
F. equiseti
1050
1050
99%
0
99%
KR364600.
species
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Dalia Sukmawati et al.
Fig. – 5: Maximum likelihood tree showing taxonomic position of Fusarium strains isolated from orange
leaves: UNJCC (D5) D5.K3.A; UNJCC (D6) D6.K3.B; UNJCC (D7) D7.K2.B and UNJCC (D8) D3.K2.B.
The tree was rooted to NR 130661 Candida orthopsilosis ATCC 96139
The Fusarium genome was first described by Link in
1809 (Aoki et al., 2014). Based on the phylogenetic
tree, isolates (D5) D5.K3.A; (D6) D6.K3.B; (D7)
D7.K2.B and (D8) D3.K2.B were identified as one
clade with F. equiseti with bootstrap value of 94%
(Fig. 5). The low value of the need for this data
described the bootstrap analyzed by using a gene other
than ITS rDNA. These regions have high success rates
to identify a molecular approach (Schoch et al. 2012).
But not all isolates of Fusarium can be identified are
accurate based on a single gene. Isolate fungi with
code (D8) D3.K2.B are identified as F. equiseti. While
according to phylogenetic analysis isolate (D8)
D3.K2.B was one clade with AB181481 F. oxysporum
sp. fragariae. Watanabe et al. (2011) reported seven
clade in Fusarium. Our riset consist of clade VII, clade
VI and Clade V. Clade VI consists of F. lateritium, F.
avenaceum, and F. tricinctum, which belong to
different “sections”, namely, Lateritium, Roseum, and
Sporotrichiella respectively. The paraphyly of F.
avenaceum and F. lateritium was supported by all the
genes. Clade VII contains 4 “sections” with 9 species:
Eupionnotes consisting of F. incarnatum, Gibbosum
consisting of F. equiseti and F. acuminatum, F.
graminearum and F. culmorum, and Sporotrichiella
consisting of F. poae, F. kyusyuense, F.
sporotrichioides, and F. langsethiae. Clade V
consisting F. oxysporum sp. fragariae. (Watanabe et
al. 2011). Fusarium species is known one of the most
difficult species to be identified based on
Asian J Agri & Biol. 2017;5(4):202-213.
morphological markers among fungal species. One of
the main reasons for this difficulty is that genetic and
morphological characters vary among strains in a
species and the ranges of character diversity are often
overlapped among closely-related species. Although
all fore gene trees supported the classification of
Fusarium species into 7 major clades, I to VII.
According to Tunarsih et al. (2015) suggested to use
suitable marker for the identification of Fusarium
members as Fusarium genome has possibly unique
evolutionary history. Watanabe et al. (2011) used
multigene analysis for Fusarium genome (18S rDNA
gene, ITS1, 5.8S rDNA, 28S rDNA, β-tubulin gene,
and aminoadipate reductase gene (lys2) for interspecies identification of Fusarium. Their results
showed that sequence has homology with bootstrap
value of 65–100%. F. equiseti mold can cause damage
to various crops, including corn, rice and wheat in field
and storage (Hasem et al. 2010). Palmero et al. (2011)
reported that all the tested Fusarium isolates
were pathogenic on tomato and melon. Regarding
Bakar et al. (2013), Fusarium species are one of the
common pathogens of post-harvest disease to cause rot
on tomato and other perishable vegetable fruits. A total
of 180 Fusarium isolates were obtained from 13
locations throughout Selangor. Fusarium solani was
the most abundantly isolated (34%) followed by F.
semitectum (31%) and F. oxysporum (31%), F.
subglutinans (3%) while the last was F. equiseti (1%).
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Dalia Sukmawati et al.
Fusarium equiseti is a plant pathogenic fungus and
produce secondary metabolites form toxins that can be
pathogenic on the various plants on agricultural land
(Kosiak et al. 2005). Secondary metabolites produced
vary in amount and toxicity. This species produces a
variety of toxins, such as trichothecenes type A, for
example, neosolaniol (NEO), diacetoxy-scirpenol
(DAS), the type of T-2 toxin and HT-2, type B
trichothecenes, for example, nivalenol (NIV), and
non-essential compounds such as trichothecene
zearalenon (ZEA), equisetin and fusarochromanone
(Barros et al. 2012). In addition, it can also be
profitable. This fungi have potential infection in
rooting plants (Macia-Vicente et al. 2008) and the
special nature of belonging so that could make these
fungi as a candidate for biological control of
nematodes (Nitao et al. 2001; Horinouchi et al. 2007).
Other potential owned by mold, F. equiseti i.e. capable
of producing the enzyme xyloglucanases (XG)
(Rashmi & Siddalingamurty, 2016). These enzymes
are known to have potential in processing waste plant,
modifications to improve the nature of xyloglucans
reologi in the food industry and the feed, fabric
treatment to change the brightness and color, to
remove the fuzz from the surface of textile materials
in the textile industry and the paper industry
(Sinitsyna, 2010). The enzyme is easily obtained so
easily applied to help lower the cost of production.
UNJCC (D8) D8 D3. K2. B 99% homology with
bootstrap values of 88%.
Acknowledgments
This research was supported by Fund from FMIPA
DIPA 2016 and DIKTI 2016 which provided financial
assistance, the facilities, and materials required. The
researcher would also like to thank to students
(Agustiningsih, and Sherly) for the technical
assistance during the course of the experiment. We
thank Avinash Sharma, Retno Widowati and Marina
S. for reading through the manuscript. A special thank
you to get the sample to Sudarno Lulung and Agung
Adiputra, S.Si. MSi from PT. BIP (Gramedia Group)
for drawing the sampling map.
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