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한국자원식물학회 / v.23, no.6, 2010년, pp.526-534 
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( Effective Exon-Intron Structure Verification of a 1-Pyrroline-5-Carboxylate-Synthetase Gene from Halophytic Leymus chinensis (Trin.) Based on PCR, DNA Sequencing, and Alignment ) |
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| 초 록 |
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| Genomes of clusters of related eukaryotes are now being sequenced at an increasing rate. In this paper, we developed an accurate, low-cost method for annotation of gene prediction and exon-intron structure. The gene prediction was adapted for delta 1-pyrroline-5-carboxylate-synthetase (p5cs) gene from China wild-type of the halophytic Leymus chinensis (Trin.), naturally adapted to highly-alkali soils. Due to complex adaptive mechanisms in halophytes, more attentions are being paid on the regulatory elements of stress adaptation in halophytes. P5CS encodes delta 1-pyrroline-5-carboxylate-synthetase, a key regulatory enzyme involved in the biosynthesis of proline, that has direct correlation with proline accumulation in vivo and positive relationship with stress tolerance. Using analysis of reverse transcription-polymerase chain reaction (RT-PCR) and PCR, and direct sequencing, 1076 base pairs (bp) of cDNA in length and 2396 bp of genomic DNA in length were obtained from direct sequencing results. Through gene prediction and exon-intron structure verification, the full-length of cDNA sequence was divided into eight parts, with seven parts of intron insertion. The average lengths of determinated coding regions and non-coding regions were 154.17 bp and 188.57 bp, respectively. Nearly all splice sites displayed GT as the donor sites at the 5' end of intron region, and 71.43% displayed AG as the acceptor sites at the 3' end of intron region. We conclude that this method is a cost-effective way for obtaining an experimentally verified genome annotation. |
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| 키워드 |
| Leymus chinensis;Delta 1-pyrroline-5-carboxylate-synthetase;Gene prediction;Exon;Intron; |
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한국자원식물학회지 / v.23, no.6, 2010년, pp.526-534
한국자원식물학회
ISSN : 1226-3591
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201006159731820)
언어 : 영어 |
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| 논문 제공 : KISTI 한국과학기술정보연구원 |
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