Temporal transcriptomics provides insights into host‒pathogen interactions: a case study of Didymella pinodella and disease-resistant and disease-susceptible pea varieties

时间转录组学揭示宿主-病原体相互作用:以豌豆炭疽菌(Didymella pinodella)及抗病和感病豌豆品种为例。

阅读:2

Abstract

Ascochyta blight is a fungal disease affecting peas, causing significant damage to the plant and reducing crop yield. Host‒pathogen interactions can inform disease prevention and control strategies but remain poorly understood. Here, we generate a near-chromosome-level assembly for Didymella pinodella HNA18, a pathogenic fungus that causes pea ascochyta blight. Comparative genomic analysis of D. pinodella HNA18 and seven publicly available Didymella genomes revealed that the genome of D. pinodella HNA18 encodes the most conserved biosynthetic gene clusters (BGCs) and a similar number of carbohydrate-activating enzyme (CAZyme) genes compared to other Didymella species. Furthermore, by sequencing and analyzing the transcriptomic data of D. pinodella HNA18 and disease-susceptible and disease-resistant pea varieties during the infection process, we found that the pathogenic fungus mobilized a similar set of infection genes to attack the disease-susceptible and disease-resistant pea varieties, but the timing and intensity of these infection genes were different. For pea varieties in response to the pathogenic fungus, disease-susceptible and disease-resistant pea varieties mobilized similar types of defense genes, while the disease-resistant pea used a higher number of defense genes relative to the disease-susceptible pea during the entire infection process. This study not only provides multiomic resources for the study of the pathogenic fungus D. pinodella HNA18 against its disease-susceptible and disease-resistant pea varieties but also deciphers the mode of interaction between pathogenic fungal infection and plant defense.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。