Weed & Turfgrass Science

The Korean Society of Weed Science & The Turfgrass Society of Korea Archive (한국잡초학회 & 한국잔디학회)
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Molecular Identification of Pooideae, Poaceae in Korea

국내 농경지에 발생하는 포아풀아과 잡초의 분자생물학적 동정

  • Received : 2014.12.18
  • Accepted : 2015.02.03
  • Published : 2015.03.31
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Abstract

A universal DNA barcoding for agricultural noxious weeds is a powerful technique for species identification without morphological knowledge, by using short sections of DNA from a specific region of the genome. Two standard barcode markers, chloroplast rbcL and matK, and a supplementary nuclear ribosomal Internal Transcribed Spacer (ITS) region were used to examine the effectiveness of the markers for Pooideae barcoding using 163 individuals of 29 taxa across 16 genera of Korean Pooideae. The rbcL and ITS revealed a good level of amplification and sequencing success while matK did not. Barcode gaps were 78.6% for rbcL, 96.2% for matK, and 91.7% for ITS, respectively. Resolving powers were 89.3% for rbcL, 92.3% for matK, and 79.1% for ITS. The matK obtained the best both barcode gap and resolving power. However, it should be considered not to employ matK for Pooideae barcode because of low rate of PCR amplification and sequencing success. As a single DNA marker, rbcL and ITS were reasonable for Pooideae barcode. Barcode gap and resolving power were increased when ITS was incorporated into the rbcL. The barcode sequences were deposited to the National Center for Biotechnology Information (NCBI) database for public use.

DNA 바코드는 게놈 DNA의 단편을 이용해 형태적 지식없이 종을 동정하는 방법으로 전 세계적으로 최근에 많이 이용하고 있으며 고등식물에서는 엽록체 rbcL과 matK 유전자를 이용하고 있다. 본 연구에서는 표준 식물 바코드마커와 핵 ITS 부위를 이용하여 국내 포아풀아과 잡초 16속 29종 163생태형의 바코드 데이터를 생산하는 것을 목적으로 하였다. 더불어 포아풀아과의 바코드에서 각 마커의 효율성도 조사하였다. 바코드 결과 PCR 증폭과 염기서열 분석성공률은 rbcL에서 가장 높았으며 matK에서 가장 낮았다. 반대로 바코드 갭은 matK에서 가장 높은 반면 rbcL에서 가장 낮았으며, 종 식별 해상력은 matK에서 가장 높고, ITS에서 가장 낮았다. 그러나 바코드 갭과 종 식별 해상력이 가장 높은 matK를 포아풀아과에서 바코드 마커로 이용하는 것은 너무 낮은 PCR 증폭과 염기서열 분석성공률(58.3%) 때문에 고려해야할 것으로 생각된다. 단일마커로 rbcL과 ITS는 포아풀아과의 바코드에 적절하게 이용될 수 있으며, 두 마커를 조합으로 이용하면 공통으로 분석된 샘플에 따라 바코드 갭과 종 식별 해상력을 높일 수 있었다. 포아풀아과의 바코드데이터는 미국의 국립생물공학정보센터에 기탁하여 genbank 번호를 부여받아 공개하였다.

Keywords

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