논문 상세보기

LC-MS/MS-Based Comparative Profiling of Seed Proteins and Detection Patterns of Major Storage Proteins in Fabaceae Species Native to Korea KCI 등재

Sun Mi Huh, Seong Hyeon Yong, Ye Rim Choi, Kyung Choi, Mijin Jeong
  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/452383
구독 기관 인증 시 무료 이용이 가능합니다. 4,300원
농업생명과학연구 (Journal of Agriculture & Life Science)
경상국립대학교 농업생명과학연구원 (Institute of Agriculture & Life Science, Gyeongsang National University)
초록

Despite the ecological and genetic value of native legumes, their seed protein composition has received far less attention than that of cultivated crops. Therefore, we characterized the seed proteins from 18 native Korean Fabaceae species representing both woody and herbaceous taxa using nano LC-MS/MS. The analysis yielded 163 protein hits, assigned to seven functional groups. Unknown proteins comprised 39.3% of the total protein hits, whereas proteins related to metabolism and seed storage accounted for 25.2% and 16.0%, respectively. Storage proteins were mainly members of the 7S and 11S globulin families. Among individual proteins, β-conglycinin β showed the highest detection frequency, whereas canavalin, conglutin, and Concanavalin-Br were detected in a limited number of species. No clear difference in the detection patterns of major storage protein families was observed between woody and herbaceous species. Collectively, the results showed that major globulin families were detected across the examined species, while individual storage proteins exhibited variable detection patterns among species. This study provides comparative information on seed protein diversity in native Fabaceae species and a basis for further research on their taxonomic relationships, conservation, and utilization.

키워드
7S globulin11S globulinβ-conglycininLC-MS/MSProteomics
목차
Abstract
Introduction
Material and Methods
    1. Plant materials
    2. Experimental design
    3. Protein extraction and sodium dodecyl sulfatepolyacrylamide gel electrophoresis (SDS-PAGE)
    4. In-gel digestion
    5. LC-MS/MS analysis and database search
    6. Functional classification of identified proteins
    7. Comparative analysis of seed storage proteins
    8. Statistical analysis
Results and Discussion
    1. Functional classification of identified proteins
    2. Frequency of major seed storage proteins
    3. Distribution patterns of major seed storage proteinsand representative protein identifications
Acknowledgement
References
저자
  • Sun Mi Huh(Post-doctoral Researcher, Forest Biodiversity Research Division, Korea National Arboretum, Pocheon-si, Gyeonggi-do 11186, Korea)
  • Seong Hyeon Yong(Post-doctoral Researcher, Forest Biodiversity Research Division, Korea National Arboretum, Pocheon-si, Gyeonggi-do 11186, Korea)
  • Ye Rim Choi(Master’s Degree Researcher, Forest Biodiversity Research Division, Korea National Arboretum, Pocheon-si, Gyeonggi-do 11186, Korea)
  • Kyung Choi(Senior Research Officer, Forest Biodiversity Research Division, Korea National Arboretum, Pocheon-si, Gyeonggi-do 11186, Korea)
  • Mijin Jeong(Research Officer, Forest Biodiversity Research Division, Korea National Arboretum, Pocheon-si, Gyeonggi-do 11186, Korea) Corresponding author