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Screening of resistant Indonesian black rice cultivars against
bacterial leaf blight
Sutrisno . Febri Adi Susanto . Putri Wijayanti . Mita Dewi Retnoningrum .
Tri Rini Nuringtyas . Tri Joko . Yekti Asih Purwestri
Received: 7 May 2018 / Accepted: 29 September 2018
Ó Springer Nature B.V. 2018
Abstract Black rice production in Indonesia con-
strained by the bacterial blight disease (BLB) caused
by Xanthomonas oryzae pv. oryzae pathotype IV
(Xoo). Breeding of BLB resistant cultivars is consid-
ered the most sustainable method for BLB disease
control, both from an environmental and agricultural
perspective. Indonesia has many local black rice
varieties that can be used as genes resource to support
breeding program producing resistant cultivars. The
present research focuses on screening local Indonesian
black rice cultivars for resistance against BLB and
analyzing the expression of these resistance genes in
black rice after inoculation with Xoo. The black rice
cultivars Cempo Ireng, Pari Ireng, Melik, Pendek, and
Indmira, were inoculated with Xoo while white rice cv.
Conde, IRBB21, IR64, and Java14 were used as
controls. We assayed the phenotypic performance of
the cultivars samples after Xoo inoculation and
analyzed their resistance gene expression at 24 and
96 h after Xoo inoculation semiquantitatively. The
cultivar showed the best performance was selected for
further analysis of the resistance genes using Real-
time quantitative PCR. Cempo Ireng was indicated the
most resistant cultivar against BLB disease based on
the lowest disease intensity and Area Under Disease
Progress Curve (AUDPC) value. Cempo Ireng
expressed resistant genes xa5, Xa10, Xa21 and
RPP13-like after inoculation of Xoo. The expression
of xa5, Xa10, and Xa21 was up-regulated while that of
RPP13-like was down-regulated in Cempo Ireng.
Keywords Bacterial leaf blight Á Black rice Á
Resistance gene Á Xoo
Introduction
Rice is one of the main agricultural products in
tropical countries, especially in Indonesia. The biodi-
versity of rice in Indonesia reported being in the third
position (7.2%) over the world as the richest country in
pigmented rice germplasm, after China (62%) and Sri
Sutrisno, Febri Adi Susanto, Putri Wijayanti and Mita Dewi
Retnoningrum contributed equally to this article.
Sutrisno Á P. Wijayanti Á M. D. Retnoningrum Á
T. R. Nuringtyas Á Y. A. Purwestri (&)
Department of Tropical Biology, Faculty of Biology,
Universitas Gadjah Mada, Jl. Teknika Selatan, Sekip
Utara, Yogyakarta 55281, Indonesia
e-mail: yekti@ugm.ac.id
F. A. Susanto Á T. R. Nuringtyas Á T. Joko Á
Y. A. Purwestri
Research Center for Biotechnology, Universitas Gadjah
Mada, Jl. Teknika Utara, Sleman, Yogyakarta 55281,
Indonesia
T. Joko
Department of Crop Protection, Faculty of Agriculture,
Universitas Gadjah Mada, Jl. Flora, Bulaksumur,
Yogyakarta 55281, Indonesia
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Euphytica (2018)214:199
https://doi.org/10.1007/s10681-018-2279-z(0123456789().,-volV)(0123456789().,-volV)
Lanka (8.6%) (Chaudhary 2003). Among the pig-
mented rice cultivars, black rice is currently produced
in Southeast Asia, including Indonesia (Shinta and
Endang 2014). Black rice is widely consumed as a
functional food due to its benefits for human health
because of its high nutrient and antioxidant content
(Chutipaijit et al. 2011). Furthermore, the demand for
black rice is increasing. However, its production is still
affected by many plant diseases (Cristanti and Endang
2013).
One of the significant diseases of rice plants in
Indonesia is bacterial leaf blight (BLB) caused by
Xanthomonas oryzae pv. oryzae (Xoo). BLB does not
only damage lowland rice crops but also upland rice in
Indonesia (Suryadi et al. 2016). Perumalsamy et al.
(2010) reported that BLB disease had significantly
reduced rice production by 20–80%. However, there is
no official report of the BLB in black rice, but still,
BLB can be one of the major diseases that contribute
to the yield reduction of black rice production.
Screening of black rice cultivars which are resistant
against BLB could provide potential genetic sources
for improving BLB resistance by breeding. A method
and strategy for disease control have been developed,
which involved analyzing and studying the interac-
tions between pathogens and host plants by determin-
ing differences in gene expression (Casassola et al.
2013). Some of the resistance genes against BLB are
Xa1, Xa3, xa5, Xa10, Xa21, and RPP13-like. These
genes are the most commonly exploited in rice
breeding programs because they provide multigenic
long-term resistance in commercial rice cultivars
(Mew et al. 1992). The expressions of these genes
have, however, not yet studied in black rice. There-
fore, in this screening study, resistance gene expres-
sion as well as the phenotypic performance of some
black and, as controls, white rice cultivars after Xoo
inoculation, were analyzed.
Materials and methods
Plant materials
The five black rice cultivars, Cempo Ireng, Pari Ireng,
Melik, Pendek, and Indmira, were obtained from
Institute of Agricultural Technology Yogyakarta and
derived from our germplasm collection at Research
Center for Biotechnology Universitas Gadjah Mada.
The white rice cultivars, Java14, IRBB21, and Conde,
were used to represent resistant plants while IR64 was
the susceptible control (Susanto and Sudir 2012). The
seeds of resistant and susceptible control were
obtained from Indonesian Center for Rice Research
(ICRR), Subang, West Java.
Xoo inoculation
The Xoo isolate used for this study was the Xoo
pathotype IV isolate which a dominant pathotype in
Indonesia (Suparyono et al. 2004). This isolate was
obtained from the Indonesian Center for Rice
Research (ICRR), Subang, West Java. Bacterial cul-
ture and preparation were performed according to
Sana et al. (2010). Peptone Sucrose Agar (PSA)
medium was prepared with 5 g of sucrose composi-
tion, 1.25 g peptone, 0.125 g K2PO4, 0.0625 g
MgSO4.7H2O and 5 g agar, and 250 ml of dH2O, pH
7.2–7.4. Xoo was cultured on PSA medium and
incubated for 72 h at 30 °C. Inoculum preparation
bacteria were grown on PSA at 28 ± 2 °C for 48 h
and suspended in deionized water. The suspension was
adjusted to 108
colony forming units (CFU)/ml from
absorbance measurements (A 600 = 0.3, Babu et al.
2003).
Xoo was harvested from the petri dish and trans-
ferred to an Erlenmeyer flask containing 200 ml sterile
water. The concentration of Xoo suspension was 108
colony forming units (CFU)/ml. Inoculation was done
in the afternoon to avoid high environmental heat and
evaporation, i.e., between 03.00 and 05.00 p.m. The
experimental plant material was divided into four
groups including 24 and 96 Hours Post Inoculation
(HPI) treatment, mock, and untreated. Each group had
three plants with three replications which were used at
the same time. All of the plants used were at the
transition between tillering stage to heading stage.
The bacterial inoculation was performed according
to Kauffman et al. (1973) by the leaf clipping method
along 4–5 cm of the leaf tip. Briefly, in the treatment
plant, the sterile scissors were dipped into Xoo
bacterial suspension and immediately used to cut the
rice leaf tip. The mock treatments which used the
scissors dipped into the sterile distilled water were also
used as a control in respect of the clipping. The
untreated plant was unclipped, used as a control. All
plants were kept in greenhouse conditions with
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199 Page 2 of 12 Euphytica (2018)214:199
different compartments for each treatment to prevent
the Xoo transmission.
Phenotypic assay of bacterial leaf blight resistance
in screened black rice cultivars
Observation of symptoms of Bacterial Leaf Blight
(BLB) was conducted by measuring disease intensity
(IRRI 1996) and AUDPC (Area Under Disease
Progress Curve) according to Djatmiko et al. (2011).
In this study, four times of BLB observation were
carried out on the first, second, third and fourth week.
Three replicates were used in the observation. The
plants were at the reproductive stage. Data analysis of
phenotypic assay was carried out using one-way
analysis of variance (ANOVA) and followed by
Duncan test at P  0.05. For the disease intensity,
the regression analysis was also performed to infer the
disease progress intensity of the cultivars tested. The
selected cultivars which had the most resistant pheno-
type against BLB were used for quantitative expression
and partial sequence analysis of resistance genes.
Expression analysis of resistance genes
Samples were taken at 24 h and 96 h after inoculation
by collecting 4–5 cm from the inoculated tip of the
leaf (Yu et al. 2014; Peng et al. 2015; Narsai et al.
2013). The samples were then washed with sterile
distilled water and stored in plastic zip lock bags,
frozen with liquid nitrogen, then stored in a deep
freezer at - 80 °C. RNA isolation was performed
using the RNeasy Plant Mini Kit (Qiagen). The quality
and quantity of RNA were determined using Nano-
Drop spectrophotometer and agarose gel electrophore-
sis. One microgram of RNA was subjected to cDNA
synthesis using SuperscriptII First-Strand Synthesis
System for RT-PCR (Invitrogen). Detection of resis-
tance genes at the RNA level was performed prior to
semiquantitative and quantitative resistance gene
expression analysis with the housekeeping gene
Ubiquitin, as internal standard (Chen and Klebe 1993).
Semiquantitative analysis of resistance gene
expression was performed by conventional PCR using
Xa and RPP13-like primers (Table 1). The primers
used for conventional PCR and quantitative real-time
PCR were designed by using Primer3 program (http://
bioinfo.ut.ee/primer3-0.4.0/) based on O. sativa
Japonica Group sequence data, except the primer of
RPP13-like which was obtained from Ghazi et al.
(2009). The primers of Ubiquitin gene had sequences
of 50
-CTCAGGCTCCGTGGTGGTATG-30
(For-
ward) and 50
-GTGATAGTTTTCCCAGTCAACG
TC-30
(Reverse) with amplicon size 200 bp. In the
semiquantitative analysis, levels of resistance genes
expression, as well as internal standard gene Ubiquitin
in screened cultivars, were estimated using ImageJ
software via electrophoresis gel image. Estimation of
Xa gene expression level was determined by dividing
the area of resistance genes by the area of the Ubiq-
uitin gene. The cultivars which showed the resistance
character and associated with the expressed genes
were selected for further analysis. We selected four
resistance genes which were expressed in the selected
cultivars and amplified the genes by quantitative real-
time PCR (qRT-PCR) with Ubiquitin as an internal
standard, and their relative expression levels were
analyzed by using Livak Method (Livak and Sch-
mittgen 2001).
DNA sequencing and partial sequence analysis
The cDNA of untreated control samples from Cempo
Ireng, Java14, and IR64, are used to amplify xa5,
Xa10, Xa21 and RPP13-like genes using conventional
PCR. The PCR products were utilized for partial DNA
sequencing which was performed by using the
BigDyeÒ
Terminator v3.1 cycle sequencing kit (Ap-
plied Biosystems, USA) at Apical Scientific Sdn. Bhd.
located in Selangor, Malaysia. Partial sequence anal-
ysis was carried out by using BLAST programs
namely BLASTN for similarity analysis (Altschul
et al. 1997) and Clustal Omega program (https://www.
ebi.ac.uk/Tools/msa/clustalo/) for multiple sequence
alignment.
Results and discussion
Plants have developed specific defense mechanism
because they are sessile forms. Defense mechanisms
can be rapidly activated when plants are attacked by
pathogens and can recognize them as invaders, often
called as incompatible interactions. However, in
susceptible plants, the recognition of the pathogens
can be blocked, or the response is too slow so
pathogens will spread rapidly and produce widespread
symptoms (Aderem and Ulevitch 2000).
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Euphytica (2018)214:199 Page 3 of 12 199
Phenotypic assay of bacterial leaf blight resistance
in screened black rice cultivars
The black rice cultivars analyzed showed Bacterial
Leaf Blight (BLB) symptoms as a response to the Xoo
inoculation (Fig. 1a). AUDPC can be used to assess
quantitative disease resistance in crop cultivars (Jeger
and Viljanen-Rollinson 2001). AUDPC values of the
screened cultivars, namely IR64, Indmira, Conde,
Pendek, IRBB21, Melik, Pari Ireng, Java14 and
Cempo Ireng are shown in Fig. 1b. Pari Ireng and
Melik were rated as moderately resistant, Conde,
Pendek, and Indmira as moderately susceptible, IR64
(the susceptible control) and IRBB21 as susceptible,
while Java14 (the resistance control) and Cempo Ireng
were resistant against BLB. Interestingly, based on the
regression analysis for disease intensity, it can be
concluded that the disease development of resistant
cultivar was in the same group. Pari Ireng which was
characterized to be moderately resistant was in the
same group with the resistance cultivar Java14 and
Cempo Ireng. According to the regression analysis, it
can be inferred that the disease intensity will not
develop any further in the resistant cultivars compared
to the moderately susceptible and susceptible
cultivars.
Detection of resistance genes at RNA level
in screened black rice cultivars
Resistance gene expression was monitored by a two-
step reverse transcription-PCR (RT-PCR), which was
chosen to detect rare transcripts or to analyze low-
quantity samples due to its reproducibility and ability
to detect multiple genes in the same sample (Carding
et al. 1992). The results for the tested resistance genes
in nine rice cultivars are presented in Fig. 2.
We detected six resistance genes, namely Xa1, Xa3,
xa5, Xa10, Xa21, and RPP13. For each cultivar, a
different number of expressed resistance genes was
observed, as indicated in Fig. 2. The number of
expressed genes appears to be associated with resis-
tance level. Pathogens release a factor(s) that can
activate the expression of genes known as resistance
genes which are responsible for the resistance
response (Hummel et al. 2012). Resistance mecha-
nisms such as defensive signaling pathways and
resistance gene expression will alert and protect the
plant as a response to pathogen attack (Koornneef and
Pieterse 2008). However, qualitative data are insuffi-
cient to assess corresponding gene expression; this
requires quantification of specific RNA transcripts
under various experimental conditions using either
semiquantitative or quantitative analysis (Marone
et al. 2001). For this reason, we conducted a
semiquantitative analysis of the resistance genes in
selected black rice resistance cultivars.
Table 1 Primer sequences for expression and sequence analysis of resistance genes
Target genes Sequence (50
? 30
) Tm (°
C) Amplicon size (bp)
Xa1 Forward ATGTGGGGCAAAACTGAAAG 59.97 238
Reverse TTCAAGACCTTCGAGCACCT 59.99
Xa3 Forward CTTGTCCATGTGGTGGACTG 60.00 205
Reverse TCACTGTGGTTGCCATCAAT 59.97
RPP13-like Forward AGCATAATCTGCCGAAGAGC 64.00 455
Reverse CTGGTCAATCCCAACTAGGC 64.00
RPP13-like qPCR Forward ATGACATCCACTCTCTCCGG 58.59 157
Reverse AGGATGGTGTCGACTGCATC 59.82
Xa21 Forward CTCGGCGACAACTACCTCTC 60.01 151
Reverse GGCTGAGGTCTAGCGATGTC 59.98
xa5 Forward ATGACGGAAGCCTTGGAGAA 59.02 166
Reverse CACAGGCCACAATCTTCACC 59.12
Xa10 Forward GCCGTCCATATTGCGATTGT 59.06 227
Reverse GCAATGCGGAGGAAGAAGAG 58.99
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199 Page 4 of 12 Euphytica (2018)214:199
Semiquantitative expression analysis of resistance
gene in screened black rice cultivars
As shown in the Fig. 3a, Xa10 gene expression in
cultivars Conde and Melik exhibited a similar pattern.
Interestingly in cultivars Indmira and IRBB21, the
expression first decreased at 24 h and then increased at
96 h. Pendek and IR64 as susceptible controls both
showed a decrease in the expression of Xa10 after 24
and 96 h. Interestingly, the cultivar Cempo Ireng had
an increased level of Xa10 expression at 24 and 96 h
after Xoo inoculation. The expression of RPP13-like in
Melik and Java14 also enhanced at 24 hours and 96
hours while Cempo Ireng showed a decrease after 96
hours (Fig. 3b).
The expression levels of Xa21 were found to have
increased at 24, and 96 HPI in all rice cultivars studied
except Java14 and Cempo Ireng which have increased
only at 96 HPI (Fig. 3c). The Xa3 gene expression
level in Fig. 3d showed that Pari Ireng and IRBB21 an
increased expression level both after 24 and 96 h,
while Java14 and IR64 had an increased expression
only after 96 h. The xa5 expression level in the
cultivars Conde and Melik (Fig. 3e) increased at 24 as
a
b b
b
bc
c
d
d
d
0
50
100
150
200
250
300
350
400
450
AUDPC
A
B
C
cd
bc
cd
d
b
b
a a a
0
5
10
15
20
25
30
IR64 Pendek Conde Indmira IRBB21 Melik Pari Ireng Java14 Cempo
Ireng
Regressionlineslopeof
diseaseintensity
Fig. 1 a Phenotype of BLB resistance in nine screened
cultivars (IR64, Pendek, Conde, Indmira, IRBB21, Melik, Pari
Ireng, Java14 and Cempo Ireng) 4 weeks after Xoo inoculation.
b Area Under Disease Progress Curve (AUDPC) was calculated
using disease intensity. c Regression line slopes of disease
intensity (indicated by lesion length per leaf length following the
criteria of resistance response based on System Evaluation
Standard IRRI 1996). *Bars with the same letter do not differ
from each other at P  0.05 (Duncan’s test)
123
Euphytica (2018)214:199 Page 5 of 12 199
well as 96 HPI, while in Pendek and IR64 the response
was slower and only measurable at 96 HPI. In IRBB21
the expression level of xa5 was found to decrease at 24
and 96 HPI. Indmira showed an increased expression
level of xa5 at 24 h followed by a decrease at 96 HPI.
Meanwhile, Cempo Ireng had an increased expression
of xa5 only at 24 h.
Semiquantitative analysis for Xa1 gene expression
in Java14 showed that expression increased 24 h and
96 h after inoculation while in Pari Ireng and Melik the
expression increased only in 96 h after inoculation
(Fig. 3f). The cultivar Pari Ireng had a higher Xa1
expression level compared to Melik at 24 and 96 HPI,
while Java14 had the highest level among the black
rice cultivars studied. As long as the proper internal
standard is all analyzed correctly, these semiquantita-
tive RT-PCR data are reliable (Marone et al. 2001).
Fig. 2 Expression of six resistance genes (Xa1, Xa3, Xa3, xa5, Xa10, Xa21 and RPP13-like) using two-step reverse transcription- PCR
in nine rice cultivars with the Ubiquitin gene (Ubq) as positive control. T treatment; HPI hours post inoculation
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A
B
C
D
E
F
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
Conde Pendek Indmira IRBB21 IR64 Melik Cempo
Ireng
ExpressionlevelofXa10
Mock 24 HPI 96 HPI
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
Melik Java14 Cempo
Ireng
ExpressionlevelofRPP13-like
Mock 24 HPI 96 HPI
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Pari Ireng Melik Java14 IRBB21 IR64 Cempo
Ireng
ExpressionlevelofXa21
Mock 24 HPI 96 HPI
0.0
0.2
0.4
0.6
0.8
1.0
Pari Ireng Java14 IRBB21 IR64
ExpressionlevelofXa3
Mock 24 HPI 96 HPI
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Conde Pendek Indmira IRBB21 IR64 Melik Cempo
Ireng
Expressionlevelofxa5
Mock 24 HPI 96 HPI
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
Pari Ireng Melik Java14
ExpressionlevelofXa1
Mock 24 HPI 96 HPI
Fig. 3 Semiquantitative expression analysis of six resistance genes (Xa1, Xa3, xa5, Xa10, Xa21 and RPP13-like) in nine rice cultivars
with the Ubiquitin gene as an internal standard. HPI hours post inoculation (bar heights and the error bars represent the expression level
of the gene and standard error in all graphs)
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Euphytica (2018)214:199 Page 7 of 12 199
Quantitative expression analysis of resistance
genes in the selected black rice cultivar
The black rice cultivar Cempo Ireng was selected for
quantitative expression analysis using qRT-PCR
because of its resistance performance against BLB,
while the white rice cultivars Java14 and IR64 were
selected as the resistant and susceptible controls,
respectively. The results showed that the expression of
xa5 was up-regulated in Cempo Ireng as Xoo-treated
A
B
C
D
0.00
2.00
4.00
6.00
8.00
10.00
12.00
Untreated
Control
Mock 24 HPI 96 HPI
Relativeexpressionofxa5
Treatment
IR64 Java14 Cempo Ireng
0
2
4
6
8
10
12
14
16
18
20
Untreated
Control
Mock 24 HPI 96 HPI
RelativeexpressionofXa10
Treatment
IR64 Java14 Cempo Ireng
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Untreated
Control
Mock 24 HPI 96 HPI
RelativeexpressionofXa21
Treatment
IR64 Java14 Cempo Ireng
0
500
1000
1500
2000
2500
Untreated
Control
Mock 24 HPI 96 HPI
RelativeexpressionofRPP13-like
Treatment
IR64 Java14 Cempo Ireng
Fig. 4 Quantitative gene expression analysis using qRT-PCR
of selected resistance genes: a xa5, b Xa10, c Xa21 and
d RPP13-like. The Ubiquitin gene was used as an internal
standard. Untreated control was used as a reference point of the
expression level. HPI hours post inoculation
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cultivar and IR64 as susceptible control cultivar but
down-regulated in Java14 as resistant control cultivar
(Fig. 4a). The level of xa5 expression at 24 HPI in the
Cempo Ireng was lower than that found in Java14 but
similar to IR64. At 96 HPI, the level of xa5 expression
in the Cempo Ireng was the highest compared to
Table 2 Similarity of partial resistance gene sequences in Cempo Ireng, Java14, IR64 and to Oryza sativa Japonica Group ortholog
sequences
Resistance gene Nucleotide sequence identity (%) of three rice cultivars compared to
Oryza sativa Japonica Group as reference sequence
Reference sequence ID (retrieved
from NCBI GenBank)
Cempo Ireng (%) Java14 (%) IR64 (%)
xa5 100 100 100 XM_015785148.1
Xa10 99 100 98 KY471354.1
Xa21 99 99 99 XM_015760811.1
RPP13-like 100 81 81 XM_015761281.1
Fig. 5 Multiple sequence alignment of a xa5, b Xa10, c Xa21 and d RPP13-like in Cempo Ireng, and Java14, IR64, with reference
sequences in the Oryza sativa Japonica group. Nucleotide variation (indicated by arrows) was detected in Xa10, Xa21 and RPP13-like
123
Euphytica (2018)214:199 Page 9 of 12 199
Java14 and IR64. The recessive xa5 encodes a mutated
TFIIAc5. This mutation may attenuate TAL effector-
activated host gene expression and provides passive
resistance (Iyer-Pascuzzi et al. 2008).
The highest relative expression of Xa10 was in
Cempo Ireng compared to IR64 and Java14 as
susceptible and resistant cultivars, respectively. An
increase in the relative expression level of Xa10 could
also be observed in Cempo Ireng and Java14, but the
Xa10 expression decreased in IR64 when the untreated
control and inoculation treatment at 24 and 96 HPI
were compared. This indicated that the expression of
Xa10 was up-regulated in Cempo Ireng and Java14,
but down-regulated in IR64.
The Xa10 gene confers a high level of resistance
(Mew et al. 1982), and its expression causes a response
that is similar to a hypersensitive response (Kaku and
Kimura 1978; Parry and Callow 1986). Xa10 plays a
direct role in triggering programmed cell death (PCD)
in rice plants through a mechanism similar to that of
PCD that occurs in other plant species and animal cells
(Tian et al. 2014). The Xa10 protein is located on the
endoplasmic reticulum (ER) membrane and affects a
decrease in the calcium concentration of the ER and
triggers PCD. The ER is an essential organelle that
plays a role in various cellular processes including
calcium homeostasis, protein secretion, and lipid
biosynthesis. ER disruption causes the unfolded
protein response, a stress response that triggers
apoptosis in the event of severe or prolonged ER
dysfunction (Shore et al. 2011). This PCD mechanism
probably limits the spread of Xoo invasion in the leaf
of the rice plant.
Xa21 gene expression was up-regulated in Xoo-
treated Cempo Ireng and IR64 but down-regulated in
Java14 (Fig. 4c). This gene expression may enhance
the phenotypic performance of Cempo Ireng to be the
most resistant among the tested cultivars. The Xa21
gene encodes a receptor-like protein kinase that plays
a role in recognition of the cell surface to the pathogen
ligand and then activates an intracellular kinase, which
ultimately results in a resistance response (Century
et al. 1999). Pathogens can infect plants through a site
of injury so that the plant responds quickly through
defense mechanisms, including the expression of
resistance genes (Gomez-Gomez and Boller 2002;
Takabatake et al. 2006).
RPP13-like expression in Cempo Ireng was up-
regulated and higher than in the other cultivars
(Fig. 4d). In transgenic Arabidopsis overexpressing
RPP13 are resistant to parasitism by five isolates of
Pronospora parasitica (Bittner-Eddy et al. 2000). The
results of the present study suggest that RPP-13 like
also contributes to the resistance mechanism of black
rice.
Analysis of partial sequences of resistance genes
in selected cultivars
Analysis of xa5, Xa10, Xa21 and RPP13-like DNA
sequences in Cempo Ireng, Java14, and IR64 cultivars,
with Oryza sativa Japonica Group as the reference
sequence, showed that they had very high levels of
identity (Table 2).
Alignment of the partial sequences of the resistance
genes showed nucleotide variation in Xa10, Xa21 and
RPP13-like sequences between the cultivars analyzed
and Japonica as a reference sequence (Fig. 5). The
variation in Xa10 consisted of a one-base substitution
and a three-base deletion only in IR64. The Xa21
sequences revealed a one-base substitution in Cempo
Ireng and Java14 and two substitutions in IR64. The
RPP13-like sequence in Cempo Ireng was identical to
the reference sequence; however, there were many
substitutions and deletions in Java14 and IR64. This
nucleotide variation may contribute to the resistance
level against BLB in the rice cultivars studied.
The xa5 gene is situated on chromosome 5 and
encodes a protein with a change of valine to glutamic
acid (V39E) in TFIIAc5 (Xa5) (Iyer and McCouch
2004), whereas Xa21 and Xa10 are located on
chromosome 11 (Nino-Liu et al. 2006). RPP13 is
located on chromosome 3 and consists of three alleles,
RPP13-Nd, RPP13-Rld, and rpp13-col. These alleles
are highly conserved over the first two-thirds of their
length and include a leucine zipper, nucleotide-
binding site motifs, and the conserved core hydropho-
bic domain (Bittner-Eddy et al. 2000).
All of the resistance genes examined in this study in
the Cempo Ireng cultivar are considered to contribute
toward the resistance against BLB. Further elucidation
and characterization of the resistance genes will
deepen our understanding of the resistance mechanism
of black rice toward Xoo.
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Conclusions
The Indonesian local black rice cultivar Cempo Ireng
was the most resistant cultivar against bacterial leaf
blight compared to other cultivars studied. In Cempo
Ireng the expression of xa5, Xa10, and Xa21 was up-
regulated, while that of RPP13-like was down-
regulated.
Acknowledgements This research was partially funded by the
Ministry of Research, Technology, and Higher Education
Republic of Indonesia by Universities Leading Research
Project 2016 to YAP (contract number 863/UN1-P.III/LT/
DIT-LIT/2016), World Class Professor Program No. 168.A10/
D2/KP/2017 and LPDP research funds to S. We thank Dr. Hans-
Joerg Jacobsen, Dr. John Thomas and Dr. Ian Smith for critical
reading and improvement of our manuscript. We also thank to
Dr. Kristamtini from the Institute of Agricultural Technology
Yogyakarta for providing the black rice seeds used in this study,
and we express our gratitude to Dr. Sudir from the Indonesian
Center for Rice Research (ICRR), Subang, West Java for
providing the Xoo isolate.
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Screening Indonesian black rice cultivars against bacterial leaf blight

  • 1. Screening of resistant Indonesian black rice cultivars against bacterial leaf blight Sutrisno . Febri Adi Susanto . Putri Wijayanti . Mita Dewi Retnoningrum . Tri Rini Nuringtyas . Tri Joko . Yekti Asih Purwestri Received: 7 May 2018 / Accepted: 29 September 2018 Ó Springer Nature B.V. 2018 Abstract Black rice production in Indonesia con- strained by the bacterial blight disease (BLB) caused by Xanthomonas oryzae pv. oryzae pathotype IV (Xoo). Breeding of BLB resistant cultivars is consid- ered the most sustainable method for BLB disease control, both from an environmental and agricultural perspective. Indonesia has many local black rice varieties that can be used as genes resource to support breeding program producing resistant cultivars. The present research focuses on screening local Indonesian black rice cultivars for resistance against BLB and analyzing the expression of these resistance genes in black rice after inoculation with Xoo. The black rice cultivars Cempo Ireng, Pari Ireng, Melik, Pendek, and Indmira, were inoculated with Xoo while white rice cv. Conde, IRBB21, IR64, and Java14 were used as controls. We assayed the phenotypic performance of the cultivars samples after Xoo inoculation and analyzed their resistance gene expression at 24 and 96 h after Xoo inoculation semiquantitatively. The cultivar showed the best performance was selected for further analysis of the resistance genes using Real- time quantitative PCR. Cempo Ireng was indicated the most resistant cultivar against BLB disease based on the lowest disease intensity and Area Under Disease Progress Curve (AUDPC) value. Cempo Ireng expressed resistant genes xa5, Xa10, Xa21 and RPP13-like after inoculation of Xoo. The expression of xa5, Xa10, and Xa21 was up-regulated while that of RPP13-like was down-regulated in Cempo Ireng. Keywords Bacterial leaf blight Á Black rice Á Resistance gene Á Xoo Introduction Rice is one of the main agricultural products in tropical countries, especially in Indonesia. The biodi- versity of rice in Indonesia reported being in the third position (7.2%) over the world as the richest country in pigmented rice germplasm, after China (62%) and Sri Sutrisno, Febri Adi Susanto, Putri Wijayanti and Mita Dewi Retnoningrum contributed equally to this article. Sutrisno Á P. Wijayanti Á M. D. Retnoningrum Á T. R. Nuringtyas Á Y. A. Purwestri (&) Department of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Jl. Teknika Selatan, Sekip Utara, Yogyakarta 55281, Indonesia e-mail: yekti@ugm.ac.id F. A. Susanto Á T. R. Nuringtyas Á T. Joko Á Y. A. Purwestri Research Center for Biotechnology, Universitas Gadjah Mada, Jl. Teknika Utara, Sleman, Yogyakarta 55281, Indonesia T. Joko Department of Crop Protection, Faculty of Agriculture, Universitas Gadjah Mada, Jl. Flora, Bulaksumur, Yogyakarta 55281, Indonesia 123 Euphytica (2018)214:199 https://doi.org/10.1007/s10681-018-2279-z(0123456789().,-volV)(0123456789().,-volV)
  • 2. Lanka (8.6%) (Chaudhary 2003). Among the pig- mented rice cultivars, black rice is currently produced in Southeast Asia, including Indonesia (Shinta and Endang 2014). Black rice is widely consumed as a functional food due to its benefits for human health because of its high nutrient and antioxidant content (Chutipaijit et al. 2011). Furthermore, the demand for black rice is increasing. However, its production is still affected by many plant diseases (Cristanti and Endang 2013). One of the significant diseases of rice plants in Indonesia is bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo). BLB does not only damage lowland rice crops but also upland rice in Indonesia (Suryadi et al. 2016). Perumalsamy et al. (2010) reported that BLB disease had significantly reduced rice production by 20–80%. However, there is no official report of the BLB in black rice, but still, BLB can be one of the major diseases that contribute to the yield reduction of black rice production. Screening of black rice cultivars which are resistant against BLB could provide potential genetic sources for improving BLB resistance by breeding. A method and strategy for disease control have been developed, which involved analyzing and studying the interac- tions between pathogens and host plants by determin- ing differences in gene expression (Casassola et al. 2013). Some of the resistance genes against BLB are Xa1, Xa3, xa5, Xa10, Xa21, and RPP13-like. These genes are the most commonly exploited in rice breeding programs because they provide multigenic long-term resistance in commercial rice cultivars (Mew et al. 1992). The expressions of these genes have, however, not yet studied in black rice. There- fore, in this screening study, resistance gene expres- sion as well as the phenotypic performance of some black and, as controls, white rice cultivars after Xoo inoculation, were analyzed. Materials and methods Plant materials The five black rice cultivars, Cempo Ireng, Pari Ireng, Melik, Pendek, and Indmira, were obtained from Institute of Agricultural Technology Yogyakarta and derived from our germplasm collection at Research Center for Biotechnology Universitas Gadjah Mada. The white rice cultivars, Java14, IRBB21, and Conde, were used to represent resistant plants while IR64 was the susceptible control (Susanto and Sudir 2012). The seeds of resistant and susceptible control were obtained from Indonesian Center for Rice Research (ICRR), Subang, West Java. Xoo inoculation The Xoo isolate used for this study was the Xoo pathotype IV isolate which a dominant pathotype in Indonesia (Suparyono et al. 2004). This isolate was obtained from the Indonesian Center for Rice Research (ICRR), Subang, West Java. Bacterial cul- ture and preparation were performed according to Sana et al. (2010). Peptone Sucrose Agar (PSA) medium was prepared with 5 g of sucrose composi- tion, 1.25 g peptone, 0.125 g K2PO4, 0.0625 g MgSO4.7H2O and 5 g agar, and 250 ml of dH2O, pH 7.2–7.4. Xoo was cultured on PSA medium and incubated for 72 h at 30 °C. Inoculum preparation bacteria were grown on PSA at 28 ± 2 °C for 48 h and suspended in deionized water. The suspension was adjusted to 108 colony forming units (CFU)/ml from absorbance measurements (A 600 = 0.3, Babu et al. 2003). Xoo was harvested from the petri dish and trans- ferred to an Erlenmeyer flask containing 200 ml sterile water. The concentration of Xoo suspension was 108 colony forming units (CFU)/ml. Inoculation was done in the afternoon to avoid high environmental heat and evaporation, i.e., between 03.00 and 05.00 p.m. The experimental plant material was divided into four groups including 24 and 96 Hours Post Inoculation (HPI) treatment, mock, and untreated. Each group had three plants with three replications which were used at the same time. All of the plants used were at the transition between tillering stage to heading stage. The bacterial inoculation was performed according to Kauffman et al. (1973) by the leaf clipping method along 4–5 cm of the leaf tip. Briefly, in the treatment plant, the sterile scissors were dipped into Xoo bacterial suspension and immediately used to cut the rice leaf tip. The mock treatments which used the scissors dipped into the sterile distilled water were also used as a control in respect of the clipping. The untreated plant was unclipped, used as a control. All plants were kept in greenhouse conditions with 123 199 Page 2 of 12 Euphytica (2018)214:199
  • 3. different compartments for each treatment to prevent the Xoo transmission. Phenotypic assay of bacterial leaf blight resistance in screened black rice cultivars Observation of symptoms of Bacterial Leaf Blight (BLB) was conducted by measuring disease intensity (IRRI 1996) and AUDPC (Area Under Disease Progress Curve) according to Djatmiko et al. (2011). In this study, four times of BLB observation were carried out on the first, second, third and fourth week. Three replicates were used in the observation. The plants were at the reproductive stage. Data analysis of phenotypic assay was carried out using one-way analysis of variance (ANOVA) and followed by Duncan test at P 0.05. For the disease intensity, the regression analysis was also performed to infer the disease progress intensity of the cultivars tested. The selected cultivars which had the most resistant pheno- type against BLB were used for quantitative expression and partial sequence analysis of resistance genes. Expression analysis of resistance genes Samples were taken at 24 h and 96 h after inoculation by collecting 4–5 cm from the inoculated tip of the leaf (Yu et al. 2014; Peng et al. 2015; Narsai et al. 2013). The samples were then washed with sterile distilled water and stored in plastic zip lock bags, frozen with liquid nitrogen, then stored in a deep freezer at - 80 °C. RNA isolation was performed using the RNeasy Plant Mini Kit (Qiagen). The quality and quantity of RNA were determined using Nano- Drop spectrophotometer and agarose gel electrophore- sis. One microgram of RNA was subjected to cDNA synthesis using SuperscriptII First-Strand Synthesis System for RT-PCR (Invitrogen). Detection of resis- tance genes at the RNA level was performed prior to semiquantitative and quantitative resistance gene expression analysis with the housekeeping gene Ubiquitin, as internal standard (Chen and Klebe 1993). Semiquantitative analysis of resistance gene expression was performed by conventional PCR using Xa and RPP13-like primers (Table 1). The primers used for conventional PCR and quantitative real-time PCR were designed by using Primer3 program (http:// bioinfo.ut.ee/primer3-0.4.0/) based on O. sativa Japonica Group sequence data, except the primer of RPP13-like which was obtained from Ghazi et al. (2009). The primers of Ubiquitin gene had sequences of 50 -CTCAGGCTCCGTGGTGGTATG-30 (For- ward) and 50 -GTGATAGTTTTCCCAGTCAACG TC-30 (Reverse) with amplicon size 200 bp. In the semiquantitative analysis, levels of resistance genes expression, as well as internal standard gene Ubiquitin in screened cultivars, were estimated using ImageJ software via electrophoresis gel image. Estimation of Xa gene expression level was determined by dividing the area of resistance genes by the area of the Ubiq- uitin gene. The cultivars which showed the resistance character and associated with the expressed genes were selected for further analysis. We selected four resistance genes which were expressed in the selected cultivars and amplified the genes by quantitative real- time PCR (qRT-PCR) with Ubiquitin as an internal standard, and their relative expression levels were analyzed by using Livak Method (Livak and Sch- mittgen 2001). DNA sequencing and partial sequence analysis The cDNA of untreated control samples from Cempo Ireng, Java14, and IR64, are used to amplify xa5, Xa10, Xa21 and RPP13-like genes using conventional PCR. The PCR products were utilized for partial DNA sequencing which was performed by using the BigDyeÒ Terminator v3.1 cycle sequencing kit (Ap- plied Biosystems, USA) at Apical Scientific Sdn. Bhd. located in Selangor, Malaysia. Partial sequence anal- ysis was carried out by using BLAST programs namely BLASTN for similarity analysis (Altschul et al. 1997) and Clustal Omega program (https://www. ebi.ac.uk/Tools/msa/clustalo/) for multiple sequence alignment. Results and discussion Plants have developed specific defense mechanism because they are sessile forms. Defense mechanisms can be rapidly activated when plants are attacked by pathogens and can recognize them as invaders, often called as incompatible interactions. However, in susceptible plants, the recognition of the pathogens can be blocked, or the response is too slow so pathogens will spread rapidly and produce widespread symptoms (Aderem and Ulevitch 2000). 123 Euphytica (2018)214:199 Page 3 of 12 199
  • 4. Phenotypic assay of bacterial leaf blight resistance in screened black rice cultivars The black rice cultivars analyzed showed Bacterial Leaf Blight (BLB) symptoms as a response to the Xoo inoculation (Fig. 1a). AUDPC can be used to assess quantitative disease resistance in crop cultivars (Jeger and Viljanen-Rollinson 2001). AUDPC values of the screened cultivars, namely IR64, Indmira, Conde, Pendek, IRBB21, Melik, Pari Ireng, Java14 and Cempo Ireng are shown in Fig. 1b. Pari Ireng and Melik were rated as moderately resistant, Conde, Pendek, and Indmira as moderately susceptible, IR64 (the susceptible control) and IRBB21 as susceptible, while Java14 (the resistance control) and Cempo Ireng were resistant against BLB. Interestingly, based on the regression analysis for disease intensity, it can be concluded that the disease development of resistant cultivar was in the same group. Pari Ireng which was characterized to be moderately resistant was in the same group with the resistance cultivar Java14 and Cempo Ireng. According to the regression analysis, it can be inferred that the disease intensity will not develop any further in the resistant cultivars compared to the moderately susceptible and susceptible cultivars. Detection of resistance genes at RNA level in screened black rice cultivars Resistance gene expression was monitored by a two- step reverse transcription-PCR (RT-PCR), which was chosen to detect rare transcripts or to analyze low- quantity samples due to its reproducibility and ability to detect multiple genes in the same sample (Carding et al. 1992). The results for the tested resistance genes in nine rice cultivars are presented in Fig. 2. We detected six resistance genes, namely Xa1, Xa3, xa5, Xa10, Xa21, and RPP13. For each cultivar, a different number of expressed resistance genes was observed, as indicated in Fig. 2. The number of expressed genes appears to be associated with resis- tance level. Pathogens release a factor(s) that can activate the expression of genes known as resistance genes which are responsible for the resistance response (Hummel et al. 2012). Resistance mecha- nisms such as defensive signaling pathways and resistance gene expression will alert and protect the plant as a response to pathogen attack (Koornneef and Pieterse 2008). However, qualitative data are insuffi- cient to assess corresponding gene expression; this requires quantification of specific RNA transcripts under various experimental conditions using either semiquantitative or quantitative analysis (Marone et al. 2001). For this reason, we conducted a semiquantitative analysis of the resistance genes in selected black rice resistance cultivars. Table 1 Primer sequences for expression and sequence analysis of resistance genes Target genes Sequence (50 ? 30 ) Tm (° C) Amplicon size (bp) Xa1 Forward ATGTGGGGCAAAACTGAAAG 59.97 238 Reverse TTCAAGACCTTCGAGCACCT 59.99 Xa3 Forward CTTGTCCATGTGGTGGACTG 60.00 205 Reverse TCACTGTGGTTGCCATCAAT 59.97 RPP13-like Forward AGCATAATCTGCCGAAGAGC 64.00 455 Reverse CTGGTCAATCCCAACTAGGC 64.00 RPP13-like qPCR Forward ATGACATCCACTCTCTCCGG 58.59 157 Reverse AGGATGGTGTCGACTGCATC 59.82 Xa21 Forward CTCGGCGACAACTACCTCTC 60.01 151 Reverse GGCTGAGGTCTAGCGATGTC 59.98 xa5 Forward ATGACGGAAGCCTTGGAGAA 59.02 166 Reverse CACAGGCCACAATCTTCACC 59.12 Xa10 Forward GCCGTCCATATTGCGATTGT 59.06 227 Reverse GCAATGCGGAGGAAGAAGAG 58.99 123 199 Page 4 of 12 Euphytica (2018)214:199
  • 5. Semiquantitative expression analysis of resistance gene in screened black rice cultivars As shown in the Fig. 3a, Xa10 gene expression in cultivars Conde and Melik exhibited a similar pattern. Interestingly in cultivars Indmira and IRBB21, the expression first decreased at 24 h and then increased at 96 h. Pendek and IR64 as susceptible controls both showed a decrease in the expression of Xa10 after 24 and 96 h. Interestingly, the cultivar Cempo Ireng had an increased level of Xa10 expression at 24 and 96 h after Xoo inoculation. The expression of RPP13-like in Melik and Java14 also enhanced at 24 hours and 96 hours while Cempo Ireng showed a decrease after 96 hours (Fig. 3b). The expression levels of Xa21 were found to have increased at 24, and 96 HPI in all rice cultivars studied except Java14 and Cempo Ireng which have increased only at 96 HPI (Fig. 3c). The Xa3 gene expression level in Fig. 3d showed that Pari Ireng and IRBB21 an increased expression level both after 24 and 96 h, while Java14 and IR64 had an increased expression only after 96 h. The xa5 expression level in the cultivars Conde and Melik (Fig. 3e) increased at 24 as a b b b bc c d d d 0 50 100 150 200 250 300 350 400 450 AUDPC A B C cd bc cd d b b a a a 0 5 10 15 20 25 30 IR64 Pendek Conde Indmira IRBB21 Melik Pari Ireng Java14 Cempo Ireng Regressionlineslopeof diseaseintensity Fig. 1 a Phenotype of BLB resistance in nine screened cultivars (IR64, Pendek, Conde, Indmira, IRBB21, Melik, Pari Ireng, Java14 and Cempo Ireng) 4 weeks after Xoo inoculation. b Area Under Disease Progress Curve (AUDPC) was calculated using disease intensity. c Regression line slopes of disease intensity (indicated by lesion length per leaf length following the criteria of resistance response based on System Evaluation Standard IRRI 1996). *Bars with the same letter do not differ from each other at P 0.05 (Duncan’s test) 123 Euphytica (2018)214:199 Page 5 of 12 199
  • 6. well as 96 HPI, while in Pendek and IR64 the response was slower and only measurable at 96 HPI. In IRBB21 the expression level of xa5 was found to decrease at 24 and 96 HPI. Indmira showed an increased expression level of xa5 at 24 h followed by a decrease at 96 HPI. Meanwhile, Cempo Ireng had an increased expression of xa5 only at 24 h. Semiquantitative analysis for Xa1 gene expression in Java14 showed that expression increased 24 h and 96 h after inoculation while in Pari Ireng and Melik the expression increased only in 96 h after inoculation (Fig. 3f). The cultivar Pari Ireng had a higher Xa1 expression level compared to Melik at 24 and 96 HPI, while Java14 had the highest level among the black rice cultivars studied. As long as the proper internal standard is all analyzed correctly, these semiquantita- tive RT-PCR data are reliable (Marone et al. 2001). Fig. 2 Expression of six resistance genes (Xa1, Xa3, Xa3, xa5, Xa10, Xa21 and RPP13-like) using two-step reverse transcription- PCR in nine rice cultivars with the Ubiquitin gene (Ubq) as positive control. T treatment; HPI hours post inoculation 123 199 Page 6 of 12 Euphytica (2018)214:199
  • 7. A B C D E F 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 Conde Pendek Indmira IRBB21 IR64 Melik Cempo Ireng ExpressionlevelofXa10 Mock 24 HPI 96 HPI 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Melik Java14 Cempo Ireng ExpressionlevelofRPP13-like Mock 24 HPI 96 HPI 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 Pari Ireng Melik Java14 IRBB21 IR64 Cempo Ireng ExpressionlevelofXa21 Mock 24 HPI 96 HPI 0.0 0.2 0.4 0.6 0.8 1.0 Pari Ireng Java14 IRBB21 IR64 ExpressionlevelofXa3 Mock 24 HPI 96 HPI 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Conde Pendek Indmira IRBB21 IR64 Melik Cempo Ireng Expressionlevelofxa5 Mock 24 HPI 96 HPI 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 Pari Ireng Melik Java14 ExpressionlevelofXa1 Mock 24 HPI 96 HPI Fig. 3 Semiquantitative expression analysis of six resistance genes (Xa1, Xa3, xa5, Xa10, Xa21 and RPP13-like) in nine rice cultivars with the Ubiquitin gene as an internal standard. HPI hours post inoculation (bar heights and the error bars represent the expression level of the gene and standard error in all graphs) 123 Euphytica (2018)214:199 Page 7 of 12 199
  • 8. Quantitative expression analysis of resistance genes in the selected black rice cultivar The black rice cultivar Cempo Ireng was selected for quantitative expression analysis using qRT-PCR because of its resistance performance against BLB, while the white rice cultivars Java14 and IR64 were selected as the resistant and susceptible controls, respectively. The results showed that the expression of xa5 was up-regulated in Cempo Ireng as Xoo-treated A B C D 0.00 2.00 4.00 6.00 8.00 10.00 12.00 Untreated Control Mock 24 HPI 96 HPI Relativeexpressionofxa5 Treatment IR64 Java14 Cempo Ireng 0 2 4 6 8 10 12 14 16 18 20 Untreated Control Mock 24 HPI 96 HPI RelativeexpressionofXa10 Treatment IR64 Java14 Cempo Ireng 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 Untreated Control Mock 24 HPI 96 HPI RelativeexpressionofXa21 Treatment IR64 Java14 Cempo Ireng 0 500 1000 1500 2000 2500 Untreated Control Mock 24 HPI 96 HPI RelativeexpressionofRPP13-like Treatment IR64 Java14 Cempo Ireng Fig. 4 Quantitative gene expression analysis using qRT-PCR of selected resistance genes: a xa5, b Xa10, c Xa21 and d RPP13-like. The Ubiquitin gene was used as an internal standard. Untreated control was used as a reference point of the expression level. HPI hours post inoculation 123 199 Page 8 of 12 Euphytica (2018)214:199
  • 9. cultivar and IR64 as susceptible control cultivar but down-regulated in Java14 as resistant control cultivar (Fig. 4a). The level of xa5 expression at 24 HPI in the Cempo Ireng was lower than that found in Java14 but similar to IR64. At 96 HPI, the level of xa5 expression in the Cempo Ireng was the highest compared to Table 2 Similarity of partial resistance gene sequences in Cempo Ireng, Java14, IR64 and to Oryza sativa Japonica Group ortholog sequences Resistance gene Nucleotide sequence identity (%) of three rice cultivars compared to Oryza sativa Japonica Group as reference sequence Reference sequence ID (retrieved from NCBI GenBank) Cempo Ireng (%) Java14 (%) IR64 (%) xa5 100 100 100 XM_015785148.1 Xa10 99 100 98 KY471354.1 Xa21 99 99 99 XM_015760811.1 RPP13-like 100 81 81 XM_015761281.1 Fig. 5 Multiple sequence alignment of a xa5, b Xa10, c Xa21 and d RPP13-like in Cempo Ireng, and Java14, IR64, with reference sequences in the Oryza sativa Japonica group. Nucleotide variation (indicated by arrows) was detected in Xa10, Xa21 and RPP13-like 123 Euphytica (2018)214:199 Page 9 of 12 199
  • 10. Java14 and IR64. The recessive xa5 encodes a mutated TFIIAc5. This mutation may attenuate TAL effector- activated host gene expression and provides passive resistance (Iyer-Pascuzzi et al. 2008). The highest relative expression of Xa10 was in Cempo Ireng compared to IR64 and Java14 as susceptible and resistant cultivars, respectively. An increase in the relative expression level of Xa10 could also be observed in Cempo Ireng and Java14, but the Xa10 expression decreased in IR64 when the untreated control and inoculation treatment at 24 and 96 HPI were compared. This indicated that the expression of Xa10 was up-regulated in Cempo Ireng and Java14, but down-regulated in IR64. The Xa10 gene confers a high level of resistance (Mew et al. 1982), and its expression causes a response that is similar to a hypersensitive response (Kaku and Kimura 1978; Parry and Callow 1986). Xa10 plays a direct role in triggering programmed cell death (PCD) in rice plants through a mechanism similar to that of PCD that occurs in other plant species and animal cells (Tian et al. 2014). The Xa10 protein is located on the endoplasmic reticulum (ER) membrane and affects a decrease in the calcium concentration of the ER and triggers PCD. The ER is an essential organelle that plays a role in various cellular processes including calcium homeostasis, protein secretion, and lipid biosynthesis. ER disruption causes the unfolded protein response, a stress response that triggers apoptosis in the event of severe or prolonged ER dysfunction (Shore et al. 2011). This PCD mechanism probably limits the spread of Xoo invasion in the leaf of the rice plant. Xa21 gene expression was up-regulated in Xoo- treated Cempo Ireng and IR64 but down-regulated in Java14 (Fig. 4c). This gene expression may enhance the phenotypic performance of Cempo Ireng to be the most resistant among the tested cultivars. The Xa21 gene encodes a receptor-like protein kinase that plays a role in recognition of the cell surface to the pathogen ligand and then activates an intracellular kinase, which ultimately results in a resistance response (Century et al. 1999). Pathogens can infect plants through a site of injury so that the plant responds quickly through defense mechanisms, including the expression of resistance genes (Gomez-Gomez and Boller 2002; Takabatake et al. 2006). RPP13-like expression in Cempo Ireng was up- regulated and higher than in the other cultivars (Fig. 4d). In transgenic Arabidopsis overexpressing RPP13 are resistant to parasitism by five isolates of Pronospora parasitica (Bittner-Eddy et al. 2000). The results of the present study suggest that RPP-13 like also contributes to the resistance mechanism of black rice. Analysis of partial sequences of resistance genes in selected cultivars Analysis of xa5, Xa10, Xa21 and RPP13-like DNA sequences in Cempo Ireng, Java14, and IR64 cultivars, with Oryza sativa Japonica Group as the reference sequence, showed that they had very high levels of identity (Table 2). Alignment of the partial sequences of the resistance genes showed nucleotide variation in Xa10, Xa21 and RPP13-like sequences between the cultivars analyzed and Japonica as a reference sequence (Fig. 5). The variation in Xa10 consisted of a one-base substitution and a three-base deletion only in IR64. The Xa21 sequences revealed a one-base substitution in Cempo Ireng and Java14 and two substitutions in IR64. The RPP13-like sequence in Cempo Ireng was identical to the reference sequence; however, there were many substitutions and deletions in Java14 and IR64. This nucleotide variation may contribute to the resistance level against BLB in the rice cultivars studied. The xa5 gene is situated on chromosome 5 and encodes a protein with a change of valine to glutamic acid (V39E) in TFIIAc5 (Xa5) (Iyer and McCouch 2004), whereas Xa21 and Xa10 are located on chromosome 11 (Nino-Liu et al. 2006). RPP13 is located on chromosome 3 and consists of three alleles, RPP13-Nd, RPP13-Rld, and rpp13-col. These alleles are highly conserved over the first two-thirds of their length and include a leucine zipper, nucleotide- binding site motifs, and the conserved core hydropho- bic domain (Bittner-Eddy et al. 2000). All of the resistance genes examined in this study in the Cempo Ireng cultivar are considered to contribute toward the resistance against BLB. Further elucidation and characterization of the resistance genes will deepen our understanding of the resistance mechanism of black rice toward Xoo. 123 199 Page 10 of 12 Euphytica (2018)214:199
  • 11. Conclusions The Indonesian local black rice cultivar Cempo Ireng was the most resistant cultivar against bacterial leaf blight compared to other cultivars studied. In Cempo Ireng the expression of xa5, Xa10, and Xa21 was up- regulated, while that of RPP13-like was down- regulated. Acknowledgements This research was partially funded by the Ministry of Research, Technology, and Higher Education Republic of Indonesia by Universities Leading Research Project 2016 to YAP (contract number 863/UN1-P.III/LT/ DIT-LIT/2016), World Class Professor Program No. 168.A10/ D2/KP/2017 and LPDP research funds to S. We thank Dr. Hans- Joerg Jacobsen, Dr. John Thomas and Dr. Ian Smith for critical reading and improvement of our manuscript. 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