Screening and Evaluation of Active Compounds in Polyphenol Mixtures by a Novel AAPH Offline HPLC Method and Its Application.

In this study, we developed a novel offline high-performance liquid chromatography (HPLC) method based on 2,2'-azobis(2-amidinopropane) dihydrochloride (AAPH) radicals for antioxidant screening in 20 polyphenolic compounds and used the Trolox equivalent antioxidant capacity assay to evaluate their antioxidant activity. Compared to the existing offline HPLC methods based on 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) and 2,2-diphenyl-1-picrylhydrazyl (DPPH), the offline HPLC method based on the AAPH radical is more sensitive. Additionally, we applied this method to Lepechinia meyenii (Walp.) Epling extract and screened out seven antioxidants, caffeic acid, hesperidin, rosmarinic acid, diosmin, methyl rosmarinate, diosmetin, and n-butyl rosmarinate, which are known antioxidants. Therefore, this study provides new insights into the screening of antioxidants in natural extracts.

Seed Weight and Genotype Influence the Total Oil Content and Fatty Acid Composition of Peanut Seeds.

Peanut, an important oilseed crop cultivated worldwide as a dietary food, is a good food source with health benefits. To explore the potential benefits of peanuts as a food resource, 301 peanut accessions were evaluated to determine the effect of seed weight and genotype on total oil content and fatty acid composition. Total oil was extracted using the Soxhlet method and fatty acids were analyzed by gas chromatography mass spectrometry. Wide variations in the 100-seed weight, total oil content, and fatty acid profile were observed among genotypes and accession types. An effect of seed weight on the fatty acid composition of peanut seeds was observed. Increases in the oleic acid content and decreases in the linoleic acid content occurred in association with increases in the 100-seed weight. Moreover, the 100-seed weight, total oil content, and individual and total fatty acid contents, except arachidic acid, differed significantly (p < 0.001 or 0.05) among the accession types of landrace, cultivar, breeding line, and unknown. The discovery of this high diversity could contribute to further studies of peanut domestication and evolutionary classification. Our findings are important for the selection of peanut seeds with health benefits and development of new varieties of peanut with health benefits.

Genetic variation of seed oil characteristics in native Korean germplasm of Perilla crop (Perilla frutescens L.) using SSR markers.

BACKGROUND: In order to maximize the use of valuable native Perilla germplasm in South Korea, knowledge of the Perilla seed oil content and genetic variation among native Perilla germplasm resources is very important for the conservation and development of new Perilla seed oil varieties using the native Perilla germplasm accessions preserved from the Rural Development Administration Genebank (RDA-Genebank) collection from South Korea. OBJECTIVES: In this study, we studied population structure and association mapping to identify Perilla SSR markers (PSMs) associated with the five fatty acid contents and two seed characteristics of the native Korean Perilla germplasm accessions of cultivated var. frutescens of the RDA-Genebank collected in South Korea. METHODS: For an association mapping analysis to find PSMs associated with the five fatty acid contents and two seed characteristics of the Perilla germplasm accessions of cultivated var. frutescens, we evaluated the content of five fatty acids of 280 native Korean Perilla germplasm accessions and used 29 Perilla SSR primer sets to measure the genetic diversity and relationships, population structure, and association mapping of the native Korean Perilla germplasm accessions of the RDA-Genebank collected in South Korea. RESULTS: Five fatty acids of 280 native Korean Perilla accessions were identified as follows: palmitic acid (PA) (5.30-8.66%), stearic acid (SA) (1.60-4.19%), oleic acid (OA) (9.60-22.5%), linoleic acid (LA) (8.38-25.4%), and linolenic acid (LNA) (52.7-76.4%). In a correlation analysis among the five fatty acids and two seed characteristics of the 280 Perilla accessions, the combinations of PA and SA (0.794**) and SA and OA (0.724**) showed a particularly high positive correlation coefficients compare to other combinations. By using an association analysis of the 29 PSMs and the five fatty acids in the 280 Perilla accessions, we found 17 PSMs (KNUPF1, KNUPF2, KNUPF4, KNUPF10, KNUPF16, KNUPF25, KNUPF26, KNUPF28, KNUPF37, KNUPF55, KNUPF62, KNUPF71, KNUPF74, KNUPF77, KNUPF85, KNUPF89, and KNUPF118) associated with the content of the five fatty acid components and two seed characteristics. CONCLUSIONS: These PSMs are considered to be useful molecular markers related to five fatty acid components and two seed characteristics for selecting accessions from the germplasm accessions of the Perilla crop and their related weedy types through association mapping analysis and marker-assisted selection (MAS) breeding programs.

Erratum: Ralstonia solanacearum Type III Effectors with Predicted Nuclear Localization Signal Localize to Various Cell Compartments and Modulate Immune Responses in Nicotiana spp.

[This corrects the article on p. 43 in vol. 36, PMID: 32089660.].

Autophagy pathway upregulation in a human iPSC-derived neuronal model of Cohen syndrome with VPS13B missense mutations.

Significant clinical symptoms of Cohen syndrome (CS), a rare autosomal recessive disorder, include intellectual disability, facial dysmorphism, postnatal microcephaly, retinal dystrophy, and intermittent neutropenia. CS has been associated with mutations in the VPS13B (vacuolar protein sorting 13 homolog B) gene, which regulates vesicle-mediated protein sorting and transport; however, the cellular mechanism underlying CS pathogenesis in patient-derived neurons remains uncertain. This report states that autophagic vacuoles accumulate in CS fibroblasts and the axonal terminals of CS patient-specific induced pluripotent stem cells (CS iPSC)-derived neurons; additionally, autophagic flux was significantly increased in CS-derived neurons compared to control neurons. VPS13B knockout HeLa cell lines generated using the CRISPR/Cas9 genome editing system showed significant upregulation of autophagic flux, indicating that VSP13B may be associated with autophagy in CS. Transcriptomic analysis focusing on the autophagy pathway revealed that genes associated with autophagosome organization were dysregulated in CS-derived neurons. ATG4C is a mammalian ATG4 paralog and a crucial regulatory component of the autophagosome biogenesis/recycling pathway. ATG4C was significantly upregulated in CS-derived neurons, indicating that autophagy is upregulated in CS neurons. The autophagy pathway in CS neurons may be associated with the pathophysiology exhibited in the neural network of CS patients.

Ralstonia solanacearum Type III Effectors with Predicted Nuclear Localization Signal Localize to Various Cell Compartments and Modulate Immune Responses in Nicotiana spp.

Ralstonia solanacearum (Rso) is a causal agent of bacterial wilt in Solanaceae crops worldwide including Republic of Korea. Rso virulence predominantly relies on type III secreted effectors (T3Es). However, only a handful of Rso T3Es have been characterized. In this study, we investigated subcellular localization of and manipulation of plant immunity by 8 Rso T3Es predicted to harbor a nuclear localization signal (NLS). While 2 of these T3Es elicited cell death in both Nicotiana benthamiana and N. tabacum, only one was dependent on suppressor of G2 allele of skp1 (SGT1), a molecular chaperone of nucleotide-binding and leucine-rich repeat immune receptors. We also identified T3Es that differentially regulate flg22-induced reactive oxygen species production and gene expression. Interestingly, several of the NLS-containing T3Es translationally fused with yellow fluorescent protein accumulated in subcellular compartments other than the cell nucleus. Our findings bring new clues to decipher Rso T3E function in planta.