Center for Quantitative Life Sciences, Oregon State University, Corvallis, OR, U.S.A.
Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, U.S.A.
Mol Plant Microbe Interact. 2023 Jan;36(1):26-46. doi: 10.1094/MPMI-06-22-0133-R. Epub 2023 Jan 10.
species are oomycete plant pathogens that cause great economic and ecological impacts. The genus includes over 180 known species, infecting a wide range of plant hosts, including crops, trees, and ornamentals. We sequenced the genomes of 31 individual species and 24 individual transcriptomes to study genetic relationships across the genus. o genome assemblies revealed variation in genome sizes, numbers of predicted genes, and in repetitive element content across the genus. A genus-wide comparison evaluated orthologous groups of genes. Predicted effector gene counts varied across species by effector family, genome size, and plant host range. Predicted numbers of apoplastic effectors increased as the host range of species increased. Predicted numbers of cytoplasmic effectors also increased with host range but leveled off or decreased in species that have enormous host ranges. With extensive sequencing across the genus, we now have the genomic resources to evaluate horizontal gene transfer events across the oomycetes. Using a machine-learning approach to identify horizontally transferred genes with bacterial or fungal origin, we identified 44 candidates over 36 species genomes. Phylogenetic reconstruction indicates that the transfers of most of these 44 candidates happened in parallel to major advances in the evolution of the oomycetes and spp. We conclude that the 31 genomes presented here are essential for investigating genus-wide genomic associations in genus . [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
种是卵菌植物病原体,它们会造成巨大的经济和生态影响。该属包括超过 180 种已知物种,感染范围广泛的植物宿主,包括作物、树木和观赏植物。我们对 31 个单一种和 24 个单转录组进行了基因组测序,以研究整个属的遗传关系。o 基因组组装揭示了整个属的基因组大小、预测基因数量和重复元件含量的变化。全属比较评估了同源基因簇。预测效应子基因的数量因效应子家族、基因组大小和植物宿主范围而在物种间有所不同。推测的质外体效应子的数量随着物种宿主范围的增加而增加。预测的细胞质效应子数量也随着宿主范围的增加而增加,但在宿主范围巨大的物种中趋于平稳或减少。通过对整个属进行广泛测序,我们现在拥有了评估卵菌水平基因转移事件的基因组资源。使用机器学习方法识别具有细菌或真菌来源的水平转移基因,我们在 36 个以上物种的基因组中鉴定出了 44 个候选基因。系统发育重建表明,这 44 个候选基因中的大多数转移发生在卵菌和 spp 的进化过程中。我们得出结论,这里呈现的 31 个基因组对于研究属内的全属基因组关联至关重要。