Prediction of Rice Embryo Proteins using EST-Databases

• 발행기관: 한국육종학회
• 저자명: Sun-Hee Woo Seung-Woo Cho Tae-Seon Kim Keun-Yook Chung Yong-Gu Cho Hong-Sig Kim Beom-Heon Song Chul-Won Lee Seung-Keun Jong
• 간행물 정보: 『한국육종학회지』Vol.40 No.1, 1~7쪽, 전체 7쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2008.03.30

영문 초록

An attempt was made to link rice embryo proteins to DNA sequences and to understand their functions. One hundred of the 700 spots detected on the embryo 2-DE gels were microsequenced. Of these, 28% of the embryo proteins were matched to DNA sequences with known functions, but 72% of the proteins were unknown in functions as previously reported (Woo et al. 2002). In addition, twenty-four protein spots with 100% of homology and nine with over 80% were matched to ESTs (expressed sequence tags) after expanding the amino acid sequences of the protein spots by Database searches using the available rice EST databases at the NCBI (http://www/ncbi.nlm.nih.gov/) and DDBJ (http://www.ddbj.nig.ac.jp/). The chromosomal location of some proteins were also obtained from the rice genetic map provided by Japanese Rice Genome Research Program (http://rgp.dna.affrc.go.jp). The DNA sequence databases including EST have been reported for rice (Oryza sativa L.) now provides whole or partial gene sequence, and recent advances in protein characterization allow the linking proteins to DNA sequences in the functional analysis. This work shows that proteome analysis could be a useful tool strategy to link sequence information and to functional genomics.

목차

INTRODUCTION

MATERIALS AND METHODS

RESULTS AND DISCUSSION

키워드

rice Oryza sativa L. two-dimensional electrophoresis Cleveland peptide mapping amino acid sequence analysis EST database proteome analysis