Research Article

Korean Journal of Plant Resources. 31 December 2019. 743-751
https://doi.org/10.7732/kjpr.2019.32.6.743

ABSTRACT


MAIN

  • Introduction

  • Materials and Methods

  •   Plant material

  •   Fungal pathogen

  •   Inoculation methods

  •   Disease rating & resistance response

  • Results

  • Discussion

Introduction

Perilla (Perilla frutescens L.), originally from Southeast Asia, is an annual herbaceous plant under the family Lamiaceae, and the second-biggest upland crop in Korea. Nowadays, it is widely distributed in many regions of the world (Lee and Ohnishi, 2003). In 2017, perilla seed production was 50,738 metric tons with cultivation area covering approximately 43,352 ha (KOSIS, 2018). It has been used as an antioxidant, and a traditional herbal medicine for treating various diseases such as, anxiety, depression, cough, mild seasonal allergic rhino conjunctivities, intoxication, tumor, and some intestinal disorders (Assefa et al., 2018; Makino et al., 2003; Yang et al., 2012). In Korea, perilla used as oil, as an aromatic vegetable, in sushi, salads, pickles and mainly consumed with meat. Hence, the perilla cultivar has been developed with regard to either extracting oil or harvesting fresh leaves. Perilla oil is one of the richest omega-3 fatty acid sources among the edible seed oils (Asif, 2011; Eckert et al., 2010). Linolenic acid occupies 63.1% of the overall fatty acid in perilla oil. Numerous functional components contained in perilla have been reported to show anti-inflammatory response, inhibition for α-glucosidase, and antioxidative activity (Banno et al., 2014; Ha et al., 2012; James et al., 2000). Furthermore, α- linolenic acid, the main fatty acid in perilla seed, has been reported by various studies to reduce the risk of cardiovascular diseases and affect the change of brain lipid composition and recognition ability (Guixiang et al., 2004; Kim et al., 2010; Lee et al., 2017; Zhang et al., 2014).

In Korea, various diseases such as leaf spot, gray mold, anthracnose, Sclerotinia rot, rust, downy mildew, stem blight and Phytophthora blight have been found in perilla (Cho and Moon, 1994; Choi et al., 2009; Kim et al., 2001; Lee et al., 2009; Maeng et al., 2009; Moon et al., 1998; The Korean Society of Plant Pathology, 2009; Yun et al., 2007). Among them, Sclerotinia rot is one of the most devastating fungal diseases that decrease the yield of perilla significantly. Sclerotinia rot, caused by Sclerotinia sclerotiorum (Lib.) de Bary, is a ubiquitous necrotrophic fungal pathogen capable of infecting about 408 plant species among 75 families (Boland and Hall, 1994). The pathogen is recognized by the fluffy white mycelium and black sclerotia that develops on the surface of lesions (Bolton et al., 2006).

Various authors have reported various inoculation techniques for screening of Sclerotinia rot in different crops such as pea, soybean, oilseed rape, dry bean and also perilla, by using cut stem, detached leaf methods, cut petiole inoculation, spray- mycelium & drop-mycelium, cotyledon inoculation, soil drenching (Afroz et al., 2019; Chen and Wang 2005; Grau and Bissonette 1974; Kull, 2003; Miorini et al., 2018; Del Rio et al., 2001; Vuong et al., 2004). Based on our previous study, the detached leaf method is a simple and rapid disease inoculation method for screening of Sclerotinia rot in perilla (Afroz et al., 2019).

Plant genetic resources (PGR) represent a wealth of genetic diversity, part of which is of potential value for breeding better crop plants (Frankel, 1977). For instance, landraces or crop wild relatives, modern cultivars, breeding lines and close or distant relatives may bear valuable genes for disease resistance, yield-improving properties, or quality- related traits. Therefore, the success of breeding programs for disease resistance always depends on the availability of wide range of genetic resources. To understand the genetic basis of quantitative resistance, various researches have carried out for quantitative trait locus (QTL) mapping using monogenic and/or polygenic depending on the plant species, derived normally from crosses between a partially resistant parent and a susceptible parent (Wu et al., 2016; Yin et al., 2010; Zhao and Meng, 2003; Zhao et al., 2006). Quantitative trait loci (QTL) mapping technique for polygenic resistance is used to identify loci related to S. sclerotiorum resistance in different crop species like soybean, common bean, sunflower and B. napus, but there is no published data in its application in perilla so far (Chen, 2007; Godoy et al., 2005; Hartman et al., 2000; Kim and Diers, 2000). The objective of the present study was to determine the differential responses of perilla germplasm in Korea, by detached leaf method to identify the source of resistance and to evaluate the expression and relationship of resistances to Sclerotinia rot.

Materials and Methods

Plant material

Five hundred and forty four Korean origin perilla accessions (including 400 landraces, 29 cultivars, 24 breeding lines, and 1 relative wild type, and 90 unknown) were obtained from National Institute of Crop Science, and Jeonju, Republic of Korea, to identify the resistance of those perilla germplasms against Sclerotinia rot caused by Sclerotinia sclerotiorum. This experiment was conducted in a greenhouse and growth chamber of the National Agrobiodiversity Center (NAC), National Institute of Agricultural Science, and Jeonju, Republic of Korea. Experiments were done at the seedling stage when plant had five to six leaves. The characteristics of perilla accessions information were provided by Germplasm Management System of National Agrobiodiversity Center, National Institute of Agricultural Science, RDA, and Jeonju, Republic of Korea.

Fungal pathogen

Sclerotinia sclerotiorum isolate (KACC40457) was obtained from the Korean Agricultural Culture Collection (KACC) and confirmed the pathogenicity to perilla leaves using detached leaf method. S. sclerotiorum was sub-cultured and maintained at 25℃ on Potato Dextrose Agar (PDA) in culture room.

Inoculation methods

Detached leaf method was used for this experiment. A single mycelial agar plug (size 7 ㎟ after growing at 25℃ for 7 days) was cut from the margin of PDA with actively growing mycelial colony and was placed mycelial-side down at 1/3 point on the main leaf vein of detached leaf for S. sclerotiorum; at front side. For the sake of getting in touch with the leaf surface, the plug was slightly compressed. The leaves were inoculated and kept in a plastic box with moistened paper towel to maintain humidity and incubated at 25℃ in dark condition. Three replications, each consisting of fifteen leaves, were used in this experiment.

Disease rating & resistance response

Necrotic and water soaked lesions appeared after two days of inoculation. At 7 days after inoculation, lesions diameters were measured using a linear ruler. The resistance response was measured according to Naher et al., 2018. In addition, the resistance levels were represented based on resistance ratio (%) based on the following categories: >90% = highly resistance (HR); 80.0 to 90% = resistance (R); 70.0 to 79.9% = moderately resistance (MR); 50.0 to 69.9% = moderately susceptible (MS); 30.0 to 49.9% = susceptible (S); <30% = highly susceptible (HS). Resistance ratio (%) was calculated by the following formula.

Resistance ratio (%) = (No. of leaves showed below 1 ㎝ of lesion size/ No. of total evaluated leaves) × 100

Results

The results of resistance ratio (%) and resistant response of perilla accessions were as presented in Table 1, 2 and Fig. 1. Among the 544 accessions, two were highly resistant, five were resistant, five were moderately resistant, 16 were moderately susceptible, 31 were susceptible, and 485 were highly susceptible against S. sclerotiorum. Out of 400 landrace perilla accessions, only two were moderately resistant (IT 220624, IT178655) with a resistance ratio of 70.0%, eight were moderately susceptible, 15 were susceptible, and 375 were highly susceptible. All 24 breeding lines were highly sensitive. Out of 29 cultivars, two were susceptible, and 27 were highly susceptible. Also, one relative perilla accession was susceptible. Out of 90 unknown accessions, two were highly resistant (IT226504, IT226533) with a resistance ratio of 100%, five were resistant (IT226561, IT226532, IT226526, IT226441 and IT226589) with a resistance ratio of 80.0 to 86.7%, five were moderately resistant (IT226525, IT226640, IT226568, IT220624 and IT178655) with a resistance ratio of 70.0 to 76.9%, eight were moderately susceptible, 13 were susceptible, and 59 were highly susceptible.

Table 1. Resistant response of perilla accessions against Sclerotinia rot caused by Sclerotinia sclerotiorum

Type of Perilla accessions Number of. accessions Resistant responsez
HS S MS MR R HR
Landrace 400 375 15 8 2
Breeding line 24 24
Cultivar 29 27 2
Relative 1 1
Unknown 90 59 13 8 3 5 2
Total 544 485 31 16 5 5 2

zHS= highly susceptible; S = susceptible; MS = moderately susceptible; MR = moderately resistant; R = resistance; HR = highly resistance.

Table 2. Perilla accessions that showed resistance ratio (%) & resistant response against Sclerotinia sclerotiorum

IT Numberz Accession name Status Resistance Ratio (%)y Resistance Responsex
226504 Population 8, Individual 15-1 Unknown 100 HR
226533 Population 23, Individual 45-2 Unknown 100 HR
226561 Population 33, Individual 65-1 Unknown 86.7 R
226532 Population 23, Individual 45-1 Unknown 80 R
226526 Population 20, Individual 39-3 Unknown 80 R
226541 Population 26, Individual 51-1 Unknown 80 R
226589 Population 28 Unknown 80 R
226525 Population 20, Individual 39-2 Unknown 76.9 MR
226640 P2006-62 Unknown 73.3 MR
226568 Population 37, Individual 73-3 Unknown 73.3 MR
220624 P2006-64 Landrace 70 MR
178655 Sujib Landrace 70 MR
226506 Population 8, Individual 15-3 Unknown 66.7 MS
226505 Population 8, Individual 15-2 Unknown 66.7 MS
226584 Population 11 Unknown 66.7 MS
226514 Population 12, Individual 23-2 Unknown 60.0 MS
226563 Population 33, Individual 65-3 Unknown 60.0 MS
157513 10115 Landrace 60 MS
226593 Population 37 Unknown 53.3 MS
226515 Population 12, Individual 23-3 Unknown 53.3 MS
226507 Population 9, Individual 17-1 Unknown 53.3 MS
207957 Chonnam Hwasan-1997-47 Landrace 50 MS
157599 10205 Landrace 50 MS
157491 10092 Landrace 50 MS
113452 Chungnam Yeonggi-1985-13452 Landrace 50 MS
175927 Gyeongbuk Bonghwa-1992-2769 Landrace 50 MS
217571 kocf11 Landrace 50 MS
220629 P2006-81 Landrace 50 MS
229010 PF 08011 Landrace 46.7 S
220425 Yeongcheon-2 Unknown 46.7 S
226531 Population 22, Individual 43-3 Unknown 46.7 S
226582 Population 1 Unknown 46.7 S
226588 Population 26 Unknown 46.7 S
226594 Population 38 Unknown 46.7 S
247961 Population 31 Unknown 40 S
226503 Population 7, Individual 13-3 Unknown 40 S
226569 Population 38, Individual 75-1 Unknown 40 S
226571 Population 38, Individual 75-3 Unknown 40 S
105282 Gangwon Chungseong-1985-5282 Landrace 40 S
157436 10037 Landrace 40 S
157478 10079 Landrace 40 S
157509 10111 Landrace 40 S
157523 10128 Landrace 40 S
117074 Gyeongbuk Andong-1986-3333 Landrace 33.3 S
226464 Gyeongnum Namhae-2000-22 Relative 33.3 S
226500 Population 6, Individual 11-2 Unknown 33.3 S
226520 Population 15, Individual 29-3 Unknown 33.3 S
226530 Population 22, Individual 43-2 Unknown 33.3 S
226549 Population 29, Individual 57-1 Unknown 33.3 S
157567 10173 Landrace 30 S
157598 10204 Landrace 30 S
207975 Incheon Ganghwa-1997-17 Landrace 30 S
113291 Jeonbuk Gochang-1985-13291 Landrace 30 S
105274 Jeonbuk Okgu-1985-5274 Landrace 30 S
105347 Jeonbuk Imsil-1985-5347 Landrace 30 S
105674 Gyeonnam Miryang-1985-5674 Landrace 30 S
105801 Gyeongbuk Andong -1985-5801 Landrace 30 S
217414 Okdong Dolgae-1 Cultivar 30 S
261881 Joim Cultivar 30 S
229027 PF 09012 Landrace 23.1 HS
220513 Ill-yeop Cultivar 16.7 HS
274239 YPL5-2B-9-5-1-1 Breeding line 13.3 HS
226512 Population 11, Individual 21-3 unknown 0 HS
226540 Population 25, Individual 49-3 unknown 0 HS
** rest 480 are also highly susceptible (HS)

zIntroduction number of National Agrobiodiversity Center (NAC), National Institute of Agricultural Science, Jeonju, Republic of Korea.
y(No. of plants showed below 1㎝ of lesion size/No. of total evaluated plants) × 100.
xHR=highly resistance (>90% of resistance ratio); R=resistance (80.0 to 90% of resistance ratio); MR=moderately resistance (70.0 to 79.9% of resistance ratio); MS=moderately susceptible (50.0 to 69.9% of resistance ratio), S=susceptible (30.0 to 49.9% resistance ratio); HS=highly susceptible (<30%=resistance ratio).
http://static.apub.kr/journalsite/sites/kjpr/2019-032-06/N0820320613/images/kjpr_32_06_13_F1.jpg
Fig. 1.

Perilla accessions showing resistant response against Sclerotinia sclerotiorum. Highly resistant accessions (A: IT226533; B: IT226504); highly susceptible accessions (C: IT226540; D: IT226512).

The Morphological characteristics of seven accessions, which showed high resistance to sclerotinia rot, were as presented in Table 3. All accessions were planted on 30th May, 2017 and flowering occurred on 04 September, 2017 and all were green adaxial leaf color (except IT226526- pale green). Trichom density of all accessions was medium and leaf shapes were cordate. Four accessions (IT226533, IT226532, IT226526, IT226541) produced purplish green abaxial leaf color, whereas, IT226504, IT226561, and IT226589 produced green, purple, and pale green abaxial leaf color, respectively. The leaf length ranged from (13 to 17.25 ㎝) while the leaf width varied between (9.60 and 13.10 ㎝).

Table 3. Morphological characteristics of 7 accessions which showed highly resistance to resistance of Sclerotinia rot provided by Germplasm Management System of National Agrobiodiversity Center, National Institute of Agricultural Science, RDA, Jeonju, Jellabuk-do, Rep. of Korea

IT
Numberz
Accession name Planting
date
Flowering
date
Adaxial color
of leaf
Abaxial color
of leaf
Trichom
density
Leaf shape Length of
leaves (㎝)
Width of
leaves (㎝)
226504 Population 8 Individual 15-1 5/30/2017 9/04/2017 Green Green Medium Cordate 16.35 12.60
226533 Population 23 Individual 45-2 5/30/2017 9/04/2017 Green Purplish green Medium Cordate 16.75 13.10
226561 Population 33 Individual 65-1 5/30/2017 9/04/2017 Green Purple Medium Cordate 13.00 10.75
226532 Population 23 Individual 45-1 5/30/2017 9/04/2017 Green Purplish green Medium Cordate 15.50 12.00
226526 Population 20 Individual 39-3 5/30/2017 9/04/2017 Pale green Purplish green Medium Cordate 17.00 12.25
226541 Population 26 Individual 51-1 5/30/2017 9/04/2017 Green Purplish green Medium Cordate 17.25 13.10
226589 Population 28 5/30/2017 9/04/2017 Green Pale green Medium Cordate 13.00 9.60

zIntroduction number of National Agrobiodiversity Center (NAC), National Institute of Agricultural Science, Jeonju, Republic of Korea.

Discussion

In the present study, 544 perilla accessions were assessed in vitro against Sclerotinia rot caused by S. sclerotiorum using detached leaf method. Diseases due to S. sclerotiorum have traditionally been difficult to manage (Bolton et al., 2006). Breeding for Sclerotinia stem rot resistance is complicated by polygenic resistance alleles, with several likely controlling structural disease avoidance phenotypes, like plant height, and others controlling physiological resistance mechanisms, and also complex genetic and environmental interactions. Breeding initiatives have mainly focused on increasing yield, then attempting to incorporate disease resistance traits. Therefore, molecular breeding is pursued as a significant approach for controlling sclerotinia diseases. Actually, breeding for S. sclerotiorum resistant cultivars using conventional method is difficult since no immune or highly resistant germplasm is available from genetic resources like landrace, wild or relatives etc (Liu et al., 2005). The present study found phenotypically two highly resistant (IT226504, IT226533), five were resistant (IT226561, IT226532, IT226526, IT226441 and IT226589), five moderately resistant (IT226525, IT226640, IT226568, IT220624 and IT178655) perilla germplasm against S. sclerotiorum from unknown accessions. The results of this study with morphological characteristics of perilla flowering time, leaf shape cordate, adaxial and abaxial leaf colors being pale green to purple are similar to the results of Kim et al., 2011; Ma and Lee, 2017; Woo et al., 2016. Identification of genetic variation is important for long-term achievements of breeding programs and maximizes the use of germplasm resources (Mwangi et al., 2019). The findings in this study can play a significant role to find out resistant breeding line & quantitative trait loci (QTL) against S. sclerotiorum for perilla.

Due to their purplish color, perilla leaves look attractive and containing high health beneficial anthocyanin content, most people like to consume. The present study highlighted in vitro screening of perilla germplasm resistant against Sclerotinia sclerotiorum that causes Sclerotinia rot using detached leaf method. The study also revealed that various levels of resistance to Sclerotinia rot exist in perilla germplasm collections. Out of 544 perilla accessions, two were highly resistant, five were resistant, five were moderately resistant, 16 were moderately susceptible, 31 were susceptible, and 485 were highly susceptible. As this study’s experiment was conducted in seedling stage, it is recommended to conduct the experiment at different growth stage in experimental field agro-ecological conditions. Breeders could use the resistant germplasm as a source of resistance for the development of resistant cultivars.

Acknowledgements

This work was supported by Rural Development Administration (RDA) fund PJ01249303.

References

1
Afroz, T., H.S. Lee, Y.A. Jeon, J.S. Sung, J.H. Rhee, D.A. Awraris, J. Noh, A. Hwang, O.S. Hur, N.Y. Ro, J.E. Lee and M.C. Lee. 2019. Evaluation of different inoculation methods for screening of Sclerotinia rot and Phytophthora blight in perilla germplasm. J. Crop Sci. Biol. 22:177-183.
10.1007/s12892-019-0115-0
2
Asif, M. 2011. Health effects of omega-3, 6, 9 fatty acids: Perilla frutescens is a good example of plant oils. Orien. Pharm. Exp. Medi. 11:51-59.
10.1007/s13596-011-0002-x21909287PMC3167467
3
Assefa, A.D., Y.J. Jeong, D.J. Kim, Y.A. Jeon, H.C. OK, H.J. Beak and J.S. Sung. 2018. Characterization, identification, and quantification of phenolic compounds using UPLC-Q-TOF-MS and evaluation of antioxidant activity of 73 Perilla frutescens accessions. Food Res. Int. 11:153-167.
10.1016/j.foodres.2018.05.01730007672
4
Bolton, M.D., B.P. Thomma and B.D. Nelson. 2006. Sclerotinia sclerotiorum (Lib.) de Bary: biology and molecular traits of a cosmopolitan pathogen. Mol. Plant Pathol. 7:1-16.
10.1111/j.1364-3703.2005.00316.x20507424
5
Banno, N., T. Akihisa, H. Tokuda, K. Yasukawa, H. Higashihara, M. Ukiya and H. Nishino. 2014. Triterpene acids from the leaves of Perilla frutescens and their anti-inflammatory and antitumor-promoting effects triterpene acids from the leaves of Perilla frutescens. Biosci. Biol. Biochem. 8451(1):85-90.
10.1271/bbb.68.8514745168
6
Boland, G.J. and R. Hall. 1994. Index of plant hosts for Sclerotinia sclerotiorum. Can. J. Bot. 16:93-108.
10.1080/07060669409500766
7
Chen, W. 2007. Detection of QTLs for six yield related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations. Theor. Appl. Genet. 115:849-858.
10.1007/s00122-007-0613-217665168
8
Chen Y. and D. Wang 2005. Two convenient methods to evaluate soybean for resistance to Sclerotinia sclerotiorum. Plant Dis. 89:1268-1272.
10.1094/PD-89-126830791303
9
Cho, C.T. and B.J. Moon. 1994. Sclerotinia rot of perilla caused by Sclerotinia sclerotiorum (Lib.) de Bary and its new host. Res. Bull. Ins. Agric. Resour. Dong. A Uni. 3:11-24.
10
Choi, Y.J., H.D. Shin and M. Thines. 2009. Two novel Peronospora species are associated with recent reports of downy mildew on sages. Mycol. Res. 113:1340-1350.
10.1016/j.mycres.2009.08.01019699301
11
Del Rio, L.E., N.C. Kurtzweil and C.R. Grau. 2001. Petiole inoculation as a tool to screen soybean germ plasm for resistance to Sclerotinia sclerotiorum. Phytopathol. 91:176.
12
Eckert, G.P., C. Franke, M. Nöldner, O. Rau, M. Wurglics, M. Schubert-Zsilavecz and W.E. Müller. 2010. Plant derived omega-3-fatty acids protect mitochondrial function in the brain. Pharmacol. Res. 61:234-241.
10.1016/j.phrs.2010.01.00520079842
13
Frankel, O.H. 1977. Natural variation and its conservation: In Muhammed, A. and R.C. von Botstel, (eds.), Genet. Divers. Plants. Plenum Press, New York, USA. pp. 21-24.
10.1007/978-1-4684-2886-5_4801593
14
Grau, C.R. and H.L. Bissonette. 1974. Whetzelinia stem rot of soybean in Minnesota. Plant Dis. Rept. 58:693-695.
15
Godoy, M., F. Castano, J. Re and R. Rodriguez. 2005. Sclerotinia resistance in sunflower genotypic variations of hybrids in three environment of Argentina. Euphytica 145:147-154.
10.1007/s10681-005-0627-2
16
Guixiang, Z., T.D. Etherton, K.R. Martin, S.G. West, P.J. Gillies and P.M. Kris-Etherton. 2004. Human nutrition and metabolism dietary α-linolenic acid reduces inflammatory and lipid cardiovascular risk factors in hypercholesterolemic men and women. The J. Nutrition 134(11):2991-2997.
10.1093/jn/134.11.299115514264
17
Ha, T.J., J.H. Lee, M.H. Lee, B.W. Lee, H.S. Kwon, C.H. Park, K. Shim, H. Kim, I. Baek and Jang D.S. 2012. Isolation and identification of phenolic compounds from the seeds of Perilla frutescens (L.) and their inhibitory activities against α-glucosidase and aldose reductase. Food Chem. 135(3): 1397-1403.
10.1016/j.foodchem.2012.05.10422953872
18
Hartman, G.L., M.E. Gardner, T. Hymowitz and G.C. Naidoo. 2000. Evaluation of perennial Glycine species for resistance to soybean fungal pathogens that cause Sclerotinia stem rot and sudden death syndrome. Crop Sci. 40:545-549.
10.2135/cropsci2000.402545x
19
James, M.J., R.A. Gibson and L.G. Cleland. 2000. Dietary polyunsaturated fatty acids and inflammatory mediator production. The American J. Clin. Nutrition 71(S):343-348.
10.1093/ajcn/71.1.343s10617994
20
Kim, E.J., K.J. Sa and J.K. Lee. 2011. Morphological characteristics between the two cultivated types of perilla crop and their weedy types. The Korean Society of Breed. Sci. 4(1):56.
21
Kim, H.S. and B.W. Diers. 2000. Inheritance of partial resistance to Sclerotinia stem rot in soybean. Crop. Sci. 40:55-61.
10.2135/cropsci2000.40155x
22
Kim, M., J.H. Nam, D.H. Oh and Y. Park. 2010. Erythrocyte α -linolenic acid is associated with the risk for mild dementia in Korean elderly. Nutrition Res. 30(11):756-761.
10.1016/j.nutres.2010.10.00521130294
23
Kim, W.G., B.D. Lee, W.D. Cho and D.B. Shin. 2001. Anthracnose of perilla caused by Colletotrichum spp. and Glomerella cingulata. Plant Pathol. J. 17:236-241.
24
Korean Statistical Information Service (KOSIS), Crop Production Survey, 2018. http://kosis.kr/eng/statisticsList/statisticsListIndex.do?menuId=M_01_01&vwcd=MT_ETITLE& parmTabId=M_ 01_01&statId=1962008&themaId=#101_F1H.3 [Retrieved July 20, 2019].
25
Kull, L.S. 2003. Evaluation of Resistance Screening Methods for Sclerotinia stem rot of soybean and dry bean. Plant Dis. 87:1471-1476.
10.1094/PDIS.2003.87.12.147130812389
26
Lee, A.Y., M.H. Lee, S. Lee and E.J. Cho. 2017. Alpha- linolenic acid from perilla frutescens var. japonica oil protects Aβ-induced cognitive impairment through regulation of APP Processing and Aβ degradation. J. Agric. Food Chem. 65(49):10719-10729.
10.1021/acs.jafc.7b0394129092397
27
Lee, H.B., C.J. Kim and H.Y. Mun. 2009. First report of stem blight on perilla (Perilla frutescens) caused by Corynespora cassiicola in Korea. Plant Dis. 93:550.
10.1094/PDIS-93-5-0550A30764152
28
Lee, J.K. and O. Ohnishi. 2003. Genetic relationships among cultivated types of Perilla frutescens and their weedy types in East Asia revealed by AFLP markers. Gen. Res. Crop Evol. 50:65-74.
10.1023/A:1022951002271
29
Liu, S., H. Wang, J. Zhang, B.D.L. Fitt, Z. Xu, N. Evans, Y. Liu, W. Yang and X. Guo. 2005. In vitro mutation and selection of doubled-haploid Brassica napus lines with improved resistance to Sclerotinia sclerotiorum. Plant Cell Rep. 24:133-144.
10.1007/s00299-005-0925-015759119
30
Maeng, J.H., Y.R. Yeong, K.S. Kim and S.Y. Ahn. 2009. Comparison of growth and yield of perilla by open field and rain shelter cultivation in east area of Gangwon. Kor. J. Hort. Sci. Techno. 27(Suppl. I):54.
31
Makino, H., Y. Furata, H. Wakushima, H. Fujii, K. Saito and Y. Kano. 2003. Anti-allergic effect of Perilla frutescens and its active constituents. Phytother. Res. 17:240-243.
10.1002/ptr.111512672153
32
Ma, S.J. and J.K. Lee. 2017. Morphological variation of perilla crop and their weedy types from northern and southern areas of China. Genet. Mol. Res. 16(4):gmr16039853.
10.4238/gmr16039853
33
Moon, B.J., S.H. Roh, Y.J. Son, H.S. Kang, J.P. Lee, B.S. Kim and D.S. Chung. 1998. Occurrence of gray mold rot of perilla caused by Botrytis cinerea. Korean J. Plant Pathol.14: 467-472.
34
Miorini, T.J.J., Z.N. Kamvar, R. Higgins, C.G. Raetano, J.R. Steadman and S.E. Everhart. 2018. Variation in pathogen aggression and cultivar performance against Sclerotinia sclerotiorum in soybean and dry bean from Brazil and the U.S. Peer J. Preprints 6: e26622v1.
10.7287/peerj.preprints.26622
35
Mwangi, E.W., S. Marzougui, J.S. Sung, E.C. Bwalya, Y.M. Choi and M.C. Lee. 2019. Assessment of genetic diversity and population structure on Kenyan sunflower (Helianthus annus L.) breeding lines by SSR markers. Korean J. Plant Res. 32(3):244-253.
36
Naher, N., S. Shamsi, M.R. Ali and A.M. Bashar. 2018. Screening of Sclerotinia stem rot resistance in Bangladesh mustard germplasm using cotyledon assay method. Dhaka Univ. J. Biol. Sci. 27:85-92.
37
The Korean Society of Plant Pathology. 2009. List of plant diseases in Korea, fifth edition Seoul. The Korean Society of Plant Pathol. p. 89.
38
Vuong, T.D., D.D. Hoffman, B.W. Diers, J.K. Miller, J.R. Steadman and G.L. Hartman. 2004. Utilization of the cut stem inoculation method to evaluate soybean, dry bean, and sunflower for resistance to Sclerotinia sclerotiorum. Crop Sci. 44:777-783.
10.2135/cropsci2004.7770
39
Woo, S.Y., K.J. Sa and J.K. Lee. 2016. Collection and evaluation of genetic variation of perilla accessions in the Jeju Island. Plant Breed. Biotech. 4(1):87-98.
10.9787/PBB.2016.4.1.87
40
Wu, J., Q. Zhao, Q. Yang, H. Liu, Q. Li, X. Yi, Y. Cheng, L. Guo, C. Fan and Y. Zhou. 2016. Comparative transcriptomic analysis uncovers the complex genetic network for resistance to Sclerotinia sclerotiorum in Brassica napus. Sci. Rep. 6:19007.
10.1038/srep1900726743436PMC4705546
41
Yang, S.Y., C.O. Hong, H. Lee, S.Y. Park, B.G. Park and K.W. Lee. 2012. Protective effect of extracts of Perilla frutescens treated with sucrose on tert-butyl hydroperoxide-induced oxidative hepatotoxicity in vitro and in vivo. Food Chem. 133:337-343.
10.1016/j.foodchem.2012.01.03725683404
42
Yin, X., B. Yi, W. Chen, W. Zhang, J. Tu, W.G.D. Fernando and T. Fu. 2010. Mapping of QTLs detected in a Brassica napus DH population for resistance to Sclerotinia sclerotiorum in multiple environments. Euphytica 173:25-35.
10.1007/s10681-009-0095-1
43
Yun, H.Y., Y.H. Kim, S.G. Hong and K.J. Lee. 2007. First Description of Coleosporium plectranthi causing perilla rust in Korea. Plant Pathol. J. 23:7-12.
10.5423/PPJ.2007.23.1.007
44
Zhang, T., S. Zhao, W. Li, L. Ma, M. Ding, R. Li and Y. Liu. 2014. High-fat diet from perilla oil induces insulin resistance despite lower serum lipids and increases hepatic fatty acid oxidation in rats. Lip. Health Dis. 13(15):1-9.
10.1186/1476-511X-13-1524422660PMC3904189
45
Zhao, J. and J. Meng. 2003. Genetic analysis of loci associated with partial resistance to Sclerotinia sclerotiorum in rapeseed (Brassica napus L.). Theor. Appl. Genet. 106:759-764.
10.1007/s00122-002-1171-212596007
46
Zhao, J., J.A. Udall, P.A. Quijada, C.R. Grau, J. Meng and T.C. Osborn. 2006. Quantitative trait loci for resistance to Sclerotinia sclerotiorum and its association with a homeologous non-reciprocal transposition in Brassica napus L. Theor. Appl. Genet. 112:509-516.
10.1007/s00122-005-0154-516333614
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