Transcriptomic and proteomic analysis reveals wall-associated and glucan-degrading proteins with potential roles in Phytophthora infestans sexual spore development

转录组学和蛋白质组学分析揭示了细胞壁相关蛋白和葡聚糖降解蛋白在致病疫霉菌有性孢子发育中具有潜在作用

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作者:Xiaofan Niu, Audrey M V Ah-Fong, Lilianna A Lopez, Howard S Judelson

Abstract

Sexual reproduction remains an understudied feature of oomycete biology. To expand our knowledge of this process, we used RNA-seq and quantitative proteomics to examine matings in Phytophthora infestans. Exhibiting significant changes in mRNA abundance in three matings between different A1 and A2 strains compared to nonmating controls were 1170 genes, most being mating-induced. Rising by >10-fold in at least one cross were 455 genes, and 182 in all three crosses. Most genes had elevated expression in a self-fertile strain. Many mating-induced genes were associated with cell wall biosynthesis, which may relate to forming the thick-walled sexual spore (oospore). Several gene families were induced during mating including one encoding histidine, serine, and tyrosine-rich putative wall proteins, and another encoding prolyl hydroxylases which may strengthen the extracellular matrix. The sizes of these families vary >10-fold between Phytophthora species and one exhibits concerted evolution, highlighting two features of genome dynamics within the genus. Proteomic analyses of mature oospores and nonmating hyphae using isobaric tags for quantification identified 835 shared proteins, with 5% showing >2-fold changes in abundance between the tissues. Enriched in oospores were β-glucanases potentially involved in digesting the oospore wall during germination. Despite being dormant, oospores contained a mostly normal complement of proteins required for core cellular functions. The RNA-seq data generated here and in prior studies were used to identify new housekeeping controls for gene expression studies that are more stable than existing normalization standards. We also observed >2-fold variation in the fraction of polyA+ RNA between life stages, which should be considered when quantifying transcripts and may also be relevant to understanding translational control during development.

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