Genome comparison of two Magnaporthe oryzae field isolates reveals genome variations and potential virulence effectors.
Genome comparison of two Magnaporthe oryzae field isolates reveals genome variations and potential virulence effectors.
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两种稻瘟病菌田间分离株的基因组比较揭示了基因组变异和潜在的毒力效应子
DOI:
10.1186/1471-2164-14-887
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发表时间:
2013-12-16
期刊:
影响因子:
4.4
通讯作者:
Mitchell TK
中科院分区:
文献类型:
--
作者:
Chen C;Lian B;Hu J;Zhai H;Wang X;Venu RC;Liu E;Wang Z;Chen M;Wang B;Wang GL;Wang Z;Mitchell TK
Rice blast caused by the fungus Magnaporthe oryzae is an important disease in virtually every rice growing region of the world, which leads to significant annual decreases of grain quality and yield. To prevent disease, resistance genes in rice have been cloned and introduced into susceptible cultivars. However, introduced resistance can often be broken within few years of release, often due to mutation of cognate avirulence genes in fungal field populations. To better understand the pattern of mutation of M. oryzae field isolates under natural selection forces, we used a next generation sequencing approach to analyze the genomes of two field isolates FJ81278 and HN19311, as well as the transcriptome of FJ81278. By comparing the de novo genome assemblies of the two isolates against the finished reference strain 70–15, we identified extensive polymorphisms including unique genes, SNPs (single nucleotide polymorphism) and indels, structural variations, copy number variations, and loci under strong positive selection. The 1.75 MB of isolate-specific genome content carrying 118 novel genes from FJ81278, and 0.83 MB from HN19311 were also identified. By analyzing secreted proteins carrying polymorphisms, in total 256 candidate virulence effectors were found and 6 were chosen for functional characterization. We provide results from genome comparison analysis showing extensive genome variation, and generated a list of M. oryzae candidate virulence effectors for functional characterization.
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影响因子:
4.5
作者:
Kofler R;Betancourt AJ;Schlötterer C
通讯作者:
Schlötterer C
影响因子:
6.7
作者:
Chuma I;Isobe C;Hotta Y;Ibaragi K;Futamata N;Kusaba M;Yoshida K;Terauchi R;Fujita Y;Nakayashiki H;Valent B;Tosa Y
通讯作者:
Tosa Y
影响因子:
1.2
作者:
Cingolani, Pablo;Platts, Adrian;Ruden, Douglas M.
通讯作者:
Ruden, Douglas M.
影响因子:
4.4
作者:
Fedorova ND;Badger JH;Robson GD;Wortman JR;Nierman WC
通讯作者:
Nierman WC
影响因子:
4.5
作者:
Coleman JJ;Rounsley SD;Rodriguez-Carres M;Kuo A;Wasmann CC;Grimwood J;Schmutz J;Taga M;White GJ;Zhou S;Schwartz DC;Freitag M;Ma LJ;Danchin EG;Henrissat B;Coutinho PM;Nelson DR;Straney D;Napoli CA;Barker BM;Gribskov M;Rep M;Kroken S;Molnár I;Rensing C;Kennell JC;Zamora J;Farman ML;Selker EU;Salamov A;Shapiro H;Pangilinan J;Lindquist E;Lamers C;Grigoriev IV;Geiser DM;Covert SF;Temporini E;Vanetten HD
通讯作者:
Vanetten HD