Identification of Fungi Using DNA Sequences: An Approach to Identify Fusarium Species Isolated from Domestic Unpolished Rice

• SAKAI Ayako

  National Institute of Health Sciences

• OZEKI Yukie

  Saitama Institute of Public Health

• SASAKI Yosuke

  Nippon Kaiji Kentei Kyokai

• SUZUKI Chihiro

  National Institute of Health Sciences

• MASUI Yasuko

  National Institute of Health Sciences

• AIHARA Maki

  National Institute of Health Sciences

• KIKUCHI Yutaka

  National Institute of Health Sciences

• TAKATORI Kosuke

  National Institute of Health Sciences

Bibliographic Information

Other Title

• ＤＮＡ塩基配列を利用した真菌の同定：国産玄米から分離されたＦｕｓａｒｉｕｍの種レベルの同定
• 酵母増殖による飲み残しペットボトルの膨張・破裂の危険性について
• コウボ ゾウショク ニ ヨル ノミ ノコシ ペットボトル ノ ボウチョウ ハレツ ノ キケンセイ ニ ツイテ
• DNA エンキ ハイレツ オ リヨウ シタ シンキン ノ ドウテイ コクサン ゲンマイ カラ ブンリ サレタ Fusarium ノ シュ レベル ノ ドウテイ
• Bursting Risk of Capped PET Bottles with Leftover Contents Caused by Yeast Growth

Abstract

Molecular approaches are being developed to provide for the rapid and objective identification of fungi. We attempted the identification of Fusarium species by a genetic analysis to validate practically the utility of a molecular approach for fungal identification and to reveal its limitations, and sequenced three regions, the 5' end of the 28S rRNA gene (D2 region) and the internal transcribed spacer 1 and 2 (ITS1 and ITS2) regions, in the rRNA genes. The DNA sequences of 38 Fusarium strains isolated from domestic unpolished rice were compared for similarity with entries in the GenBank. Based on this comparison, it was estimated that all these three regions, as a minimum, must be compared with the database to identify Fusaria at the species level. According to the combinations of sequences in the three regions, the 38 isolates were classified into 13 groups. Out of the 13 groups, 6 groups (20 isolates in total) could be identified as definite species based only on the sequence data. For the other 6 groups (17 isolates in total), candidate species were limited on the basis of the sequence similarity, and then the isolates were identified at the species level with the aid of morphology. Only one isolate could not be identified. These results verified that DNA sequence comparison with the GenBank database is useful for the identification of Fusarium species.

Journal

• Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi)

  Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi) 47 (6), 268-276, 2006

  Japanese Society for Food Hygiene and Safety

Keywords

• fungal identification
• DNA sequence
• genetic analysis
• <i>Fusarium</i>
• <i>Fusarium graminearum</i>
• domestic rice

Details

• CRID: 1390001204223779200
• NII Article ID: 130000054192
• NII Article ID: 10018572048
• NII Book ID: AN00117741
• DOI: 10.3358/shokueishi.47.268
• DOI: 10.3358/shokueishi.47.237
• COI: 1:CAS:528:DC%2BD2sXhtlGns7o%3D
• COI: 1:STN:280:DC%2BD28nptV2gsw%3D%3D
• ISSN: 18821006
• ISSN: 00156426
• NDL BIB ID: 8566265
• NDL BIB ID: 8621958
• Web Site: https://agriknowledge.affrc.go.jp/RN/2030732337
• Web Site: https://agriknowledge.affrc.go.jp/RN/2010732343
• Web Site: http://id.ndl.go.jp/bib/8566265
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8566265
• Web Site: http://id.ndl.go.jp/bib/8621958
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8621958
• Web Site: https://search.jamas.or.jp/link/ui/2007160181
• Text Lang: ja
• Data Source:
  • JaLC
  • IRDB
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed