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Carotenoid Content and Biosynthesis Genes in Orange-Colored Chinese Cabbage
Seohee Lee,Sang-Choon Lee,Dong Hae Byun,Jae Kwang Kim,Jee Young Park,Jong hoon Lee,Hyejoon Joo,Junki Lee,Murukarthick Jayakodi,Tae-Jin Yang 한국육종학회 2012 한국육종학회 심포지엄 Vol.2012 No.07
Chinese cabbage (Brassica rapa ssp. pekinensis) is one of the most important vegetables and widely cultivated in Asia countries including Korea and China. Recently, whole genome sequence and full-length cDNA information of this species became available, which are encouraging genetic studies of this species to characterize agricultural important traits. Orange-colored (Or) cultivar of Chinese cabbage has inner leaves in orange, whereas other cultivars generally cultivated have yellow (Ye)- or white-colored inner leaves. In this study, we investigated phenotypes and carotenoid biosynthesis genes related to color variation in the Or cultivar. Firstly we compared the carotenoid content and composition between the Or and Ye cultivars by HPLC analysis. The inner leaves of Or cultivar contained approximately 9-fold high β-carotene content, whereas content of both lutein and violaxanthin was decreased to less than 30%, compared to Ye cultivar. Or cultivar was segregated with ratio of 3:1 in F2 population derived from crossing between Or and Ye inbred lines, indicating that Or phenotype is controlled by single recessive gene. To identify this gene, we investigated the expression of several genes involved in carotenoid biosynthesis by RT-PCR analysis. Among genes tested, two encoding putative carotenoid isomerase (CRTISO) and phytoene desaturase (PDS) were identified to show different expression between Or and Ye cultivars. Through further analysis of genomic DNA regions of these two genes, we could expect that several mutations such as InDel and base-substitution occurred and then affected expression of these genes in Or cultivar. In this presentation, I will introduce more detailed results for Or cultivars.
Seohee Lee,Seok-Chae Rhee 한국음성학회 2019 말소리와 음성과학 Vol.11 No.2
This study explored the relationship between accurate vowel production and proficiency levels in L2 English produced by Korean EFL adult learners. To this end, nine English vowels /i, ɪ, ɛ, æ, ʌ, ɔ, ɑ, ʊ, u/ were selected and adjacent vowels paired up (e.g., /i/-/ɪ/, /u/-/ʊ/, /ɛ/-/æ/, /ʌ/-/ɔ/, /ɔ/-/ɑ/). The spectral features of the pairs were measured instrumentally, namely F1 (indicating tongue height) and F2 (indicating tongue backness). Meanwhile, the durations as well as spectral features of the tense and lax counterparts in /i/-/ɪ/ and /u/-/ʊ/ were measured, as both temporal and spectral features are important in distinguishing them. The findings of this study confirm that higher-rated speakers were better able to distinguish the contrasts in the front vowel pairs /i/-/ɪ/ and /ɛ/-/æ/ than lower-rated learners, but in the central and back vowel pairs /u/-/ʊ/ and /ʌ/-/ɔ/ (though not /ɔ/-/ɑ/), Korean EFL learners generally showed difficulty distinguishing adjacent vowels with spectral cues. On the other hand, the durations of the tense and lax vowels showed that the lower-rated speakers were less able to use the temporal feature to differentiate tense vowels from their lax counterparts, unlike previous studies that found that in general Korean learners depend excessively on the temporal cue to distinguish tense and lax vowels.
Early use of everolimus improved renal function after adult deceased donor liver transplantation
Lee Seohee,Kim Jong Man,Kim Sangjin,Rhu Jinsoo,Choi Gyu Seong,Joh Jae-Won 대한이식학회 2021 Korean Journal of Transplantation Vol.35 No.1
Background: Tacrolimus (TAC) is a main therapy for liver transplantation (LT) patients, but it has side effects such as chronic nephrotoxicity that progressively aggravate renal function. The purpose of this study was to retrospectively compare the renal function between a TAC group and a combination of everolimus and reduced TAC (EVR-TAC) group after deceased donor liver transplantation (DDLT). Methods: The study comprised 131 patients who underwent DDLT between January 2013 and April 2018 at our institution. They received TAC or EVR-TAC after DDLT. Everolimus (EVR) was introduced between 1 and 6 months after DDLT. Results: Thirty-six of 131 patients (27.5%) received EVR-TAC. The incidence of chronic kidney disease (CKD; estimated glomerular filtration rate, <60 mL/1.73 m2) in the EVR-TAC group was higher than in the TAC group (25% vs. 8.4%; P=0.019). Increasing serum creatinine (n=23, 63.9%) was the most common cause for adding EVR to treatment of the posttransplant patients. There were no statistical differences in acute rejection and CKD between the two groups. The TAC trough level was significantly lower in the EVR-TAC group than in the TAC group, and the renal function of the EVR-TAC group was worse than that of the TAC group until 1 year after DDLT. However, the renal function of the EVR-TAC group improved and became similar to that of TAC group at 3 years posttransplant. Conclusions: The present study suggests that EVR should be introduced as soon as possible after DDLT to reduce exposure to high doses of TAC to improve the renal function.
Machine learning for a rapid discrimination of ginseng cultivation age using 1H-NMR spectra
Lee Wonho,Yoon Dahye,Ma Seohee,Lee Dae Young,Lee Jae Won,Jo Ick-Hyun,Kim Taekwang,김석만 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.5
The scientific and systematic classification of cultivation age is important for preventing age falsification and ensuring the quality of ginseng. Therefore, we applied deep learning to classify the cultivation age of ginseng. Deep learning, which is based on an artificial neural network, is one of the new class of models for machine learning, and is state-of-the-art. It is a powerful tool and has been used to solve complex problems in many fields. In the present study, powdered samples of 4-, 5-, and 6-year-old ginseng were measured using high-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy. NMR data were analyzed with deep learning and partial least-squares discriminant analysis (PLS-DA) to improve accuracy. The accuracy of the PLS-DA was 87.1% and the accuracy of the deep learning model was 93.9%. NMR spectroscopy with deep learning can be a useful tool for discrimination of ginseng cultivation age.
Assessments in biocides with omics approaches to ecosystem
Seohee Ma,Dahye Yoon,Hyunsu Kim,Hyangjin Lee,Seonghye Kim,Huichan Lee,Jieun Kim,Soojin Lee,Yunsuk Lee,Yujin Lee,김석만 한국자기공명학회 2018 Journal of the Korean Magnetic Resonance Society Vol.22 No.4
Benzisothiazolinone (BIT) is the preservative that is widely used in industrial and household products. In this study, zebrafish (Danio rerio) was exposed to BIT at different concentrations (control, 0.5 g/L, 1.0 g/L and 2.0 g/L) for 72 hours. The techniques of nuclear magnetic resonance (NMR) spectroscopy were applied to analyze the effects of BIT on zebrafish. The advantages of NMR are the minimal sample preparation and high reproducibility of experimental results. With the multivariate statistical analysis, dimethylamine, N-acetylaspartate, glycine and histidine were identified as an important metabolite in differentiating between the control and BIT-exposed group. This study will improve the understanding the metabolite changes in the zebrafish in response to BIT exposure.