Abstract

The tea plant (Camellia sinensis (L.) O. Kuntze) is a popular non-alcoholic beverage crop worldwide. The tea market in South Korea is projected to increase annually by 4.59% (Statista, 2022). Boseong, Hadong, and Jeju Island are the main tea-growing regions in South Korea. Anthracnose is one of the major diseases of tea plants and is responsible for substantial yield loss and poor tea quality. In 2021, anthracnose of tea (disease incidence of 30%) was observed in a garden (33°28'45.5"N 126°42'02.2"E) at Jeju Island, where the Yabukita cultivar has been cultivated. The typical symptoms consisted of round or irregularly shaped lesions with gray-white centers and purple-brown borders. Twelve morphologically similar isolates were recovered from 12 infected leaves using the single spore isolation method on solid potato dextrose agar (PDA) (Cai et al. 2009). Four representative isolates (GT6, GT7, GT8, and GT11) were identified based on morphology, molecular analysis, and pathogenicity tests. The upper side of seven-day-old colonies on PDA (incubated at 25 °C in the dark) was off-white with white aerial mycelia and gray-white with black zonation on their reverse side. Conidia were hyaline, aseptate, cylindrical, with both obtuse ends, and measuring 12.3 - 25.8 µm × 4.4 - 9.3 µm (n = 50). Appressoria were dark brown, irregularly shaped with a smooth edge, and measuring 7.3 -18.8 µm × 6.9 - 11.3 µm (n = 50). According to morphological characteristics, the fungal isolates were tentatively identified as the Colletotrichum gloeosporioides complex, including C. caelliae (Wang et al. 2016; Weir et al. 2012). The genomic DNA was extracted, and the ribosomal internal transcribed spacer (ITS), β-tubulin-2 (TUB2) gene, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene, actin (ACT), calmodulin (CAL), and the Apn2-Mat1-2 intergenic spacer and partial mating type (ApMat) genes were amplified and subsequently sequenced using primer sets ITS1/ITS4, BT2a/BT2b, GDF1/GDR1, ACT-512F/ACT-783R1, CL1C/CL2C, and AM-F/AM-R, respectively (Silva et al. 2012; Weir et al. 2012). The resulting sequences were deposited in GenBank accession numbers (LC738932-LC738959). All the representative isolates were identified as C. camelliae by constructing the 50% majority rule consensus and maximum likelihood phylogenetic treebased on the combined ITS, TUB2, GAPDH, ACT, CAL, and ApMat sequences using MrBayes v. 3.2.2 and Mega X, respectively (Kumar et al., 2018; Ronquist et al. 2012). The pathogenicity of these isolates was tested on healthy leaves of 2- years-old tea seedlings (the Yabukita cultivar). Onside of unwounded or wounded leaves of seedlings were inoculated with 20 µL of conidial suspension (1 × 106 conidia or spores/ml) per spot (3-4 wounded or unwounded spots per side per leaf). Another side of the leaves received sterile distilled water and served as a control. Each treatment was replicated three times (three seedlings/isolate and four leaves per seedling) and this experiment was repeated twice. All plants were covered with plastic bags, placed in a growth chamber, and incubated at 25 °C with a 12-h photoperiod and 90% relative humidity. Typical anthracnose symptoms appeared on wounded leaves after two days of inoculation. Unwounded and controlled leaves remain asymptotic. To confirm Koch's postulates, fungal isolates were re-isolated from inoculated leaf lesions and identified as C. camelliae based on morphology and ITS sequences. Colletotrichum camelliae is a very common pathogen associated with tea anthracnose worldwide, including China (Liu et al. 2015; Wang et al. 2016).To the best of our knowledge, this is the first report of anthracnose in tea trees caused by C. camelliae in South Korea. The results of this study could help come up with better ways to keep an eye on and deal with this devastating on tea plants. Key words: Tea anthracnose, Colletotrichum camelliae, pathogenicity References Cai, L., et al. 2009. Fungal Divers. 39:183. Kumar, S., et al. 2018. Mol. Biol. Evol. 35:1547. Liu, F. et al. 2015. Persoonia. 35: 63-86. Ronquist, F. et al. 2012. Syst. Biol. 61:539-542. Silva, D. N. et al. 2012. Mycologia. 104:396-409. Statista 2022. Statista Digital Market out Look. Available at www.statista.com. Wang, Y.-C. et al. 2016. Sci. Rep. 6: 35287. Weir, B. S., et al. 2012. Stud. Mycol. 73:115.

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