메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Ashrafuzzaman M. (Department of Biological Sciences and Institute of Molecular Biology and Genetics, Seoul National University) Oh S.June (Department of Pharmacology, Pharmacogenomics Research Center, College of Medicine, Inje University) Hong Choo Bong (Department of Biological Sciences and Institute of Molecular Biology and Genetics, Seoul National University)
저널정보
한국식물학회 식물학회지 식물학회지 제48권 제1호
발행연도
2005.1
수록면
85 - 95 (11page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
A cDNA library was constructed for hot pepper plants that had been heat-shock-treated. We used a modified differential screening method, double negative screening, to isolate 500 cDNA clones that represented genes with low expression levels under conditions of high-temperature stress. Of those 500 clones, 200 were randomly selected for single-read sequencing from the 5' ends. After annotation with Blastx, the sequence was applied to InterProScan to scan for functional motifs of proteins. Among the cDNA clones analyzed, about $41\%$ of the ESTs could not be functionally classified. However, of those that could be, the largest portion of the ESTs $(15\%)$ were assigned to the category of cell rescue and defense; genes involved in cell cycle/DNA processing constituted the smallest group, comprising $1\%$ of the ESTs. Genes related to energy and protein fates constituted the second $(10\%)$ and third $(9\%)$ largest groups, respectively. Finally, $3\%$ of the ESTs were assigned to transcription, and $2\%$ to signal transduction. The high portion of unclassified ESTs probably resulted from the screening method, which was designed for low-expression messages. Likewise, the high number of ESTs for cell rescue and defense suggests that many genes with low levels of expression are associated with the stress response.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0