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タイトル: Disentangling the complex gene interaction networks between rice and the blast fungus identifies a new pathogen effector
著者: Sugihara, Yu
Abe, Yoshiko
Takagi, Hiroki
Abe, Akira
Shimizu, Motoki
Ito, Kazue
Kanzaki, Eiko
Oikawa, Kaori
Kourelis, Jiorgos
Langner, Thorsten
Win, Joe
Białas, Aleksandra
Lüdke, Daniel
Contreras, Mauricio P.
Chuma, Izumi
Saitoh, Hiromasa
Kobayashi, Michie
Zheng, Shuan
Tosa, Yukio
Banfield, Mark J.
Kamoun, Sophien
Terauchi, Ryohei  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-0095-4651 (unconfirmed)
Fujisaki, Koki
著者名の別形: 杉原, 優
阿部, 善子
高木, 宏樹
阿部, 陽
清水, 元樹
伊藤, 和江
神崎, 英子
及川, 香梨
中馬, いづみ
齋藤, 宏昌
小林, 光智衣
土佐, 幸雄
寺内, 良平
藤﨑, 恒喜
キーワード: Rice
Genomics
Rice blast fungus
Sequence alignment
Host-pathogen interactions
Genetic loci
Single nucleotide polymorphisms
Yeast two-hybrid assays
発行日: Jan-2023
出版者: Public Library of Science (PLoS)
誌名: PLOS Biology
巻: 21
号: 1
論文番号: e3001945
抄録: Studies focused solely on single organisms can fail to identify the networks underlying host–pathogen gene-for-gene interactions. Here, we integrate genetic analyses of rice (Oryza sativa, host) and rice blast fungus (Magnaporthe oryzae, pathogen) and uncover a new pathogen recognition specificity of the rice nucleotide-binding domain and leucine-rich repeat protein (NLR) immune receptor Pik, which mediates resistance to M. oryzae expressing the avirulence effector gene AVR-Pik. Rice Piks-1, encoded by an allele of Pik-1, recognizes a previously unidentified effector encoded by the M. oryzae avirulence gene AVR-Mgk1, which is found on a mini-chromosome. AVR-Mgk1 has no sequence similarity to known AVR-Pik effectors and is prone to deletion from the mini-chromosome mediated by repeated Inago2 retrotransposon sequences. AVR-Mgk1 is detected by Piks-1 and by other Pik-1 alleles known to recognize AVR-Pik effectors; recognition is mediated by AVR-Mgk1 binding to the integrated heavy metal-associated (HMA) domain of Piks-1 and other Pik-1 alleles. Our findings highlight how complex gene-for-gene interaction networks can be disentangled by applying forward genetics approaches simultaneously to the host and pathogen. We demonstrate dynamic coevolution between an NLR integrated domain and multiple families of effector proteins.
記述: ゲノム解読による植物病害抵抗性の解明 --イネ-いもち病菌「遺伝子対遺伝子」の戦い. 京都大学プレスリリース. 2023-02-01.
著作権等: © 2023 Sugihara et al.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI: http://hdl.handle.net/2433/279038
DOI(出版社版): 10.1371/journal.pbio.3001945
PubMed ID: 36656825
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2023-02-01
出現コレクション:学術雑誌掲載論文等

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