Multi-level in vivo selection of the biocontrol agent Akanthomyces muscarius, virulence, growth, sporulation, and variant data

Changes in parasite virulence are commonly expected to lead to trade-offs in other life history traits that can affect fitness. Understanding these trade-offs is particularly important if we want to manipulate the virulence of microbial biological control agents. Theoretically, selection across different spatial scales, i.e. between- and within-hosts, shapes these trade-offs. However, trade-offs are also dependent on parasite biology. Despite their applied importance the evolution of virulence in fungal parasites is poorly understood: virulence can be unstable in culture and commonly fails to increase in simple passage experiments. We hypothesized that manipulating selection intensity at different scales would reveal virulence trade-offs in a fungal pathogen of aphids, Akanthomyces muscarius. Starting with a genetically diverse stock we selected for speed of kill, parasite yield, or infectivity by manipulating competition within and between hosts and between populations of hosts over 7 ..., , , # Multi-level in vivo selection of the biocontrol agent *Akanthomyces muscarius*, virulence, growth, sporulation, and variant data [https://doi.org/10.5061/dryad.9s4mw6mpz](https://doi.org/10.5061/dryad.9s4mw6mpz) Phenotypic and genomic data supporting the Plos Pathogens manuscript. ## Description of the data and file structure Data are contained in 7 Excel files and 1 vcf file. Treatment names: Within-host, between-host, and between-population are the same as speed, yield, and infectivity in some datasets. trt columns refer to individually evolving replicates belonging to each treatment (trt_type). **taqman_results_withrelfit_25032024:** Results of taqman assay, Sample BPI4 well E07 failed to amplify, hence NA values. FAM and VIC are fluorescence values for each corresponding dye. Content: cell description in software. Sample: sample name. Comb: a combination of competed lineages. Rep: replicate number. Treatment: Lineage belonging to each treatment competed against the common c...寄生虫毒力的改变通常会引发其他生活史性状的权衡效应，进而影响其适合度。若需调控微生物生防制剂（biological control agent）的毒力，理解这类权衡关系尤为关键。理论上，不同空间尺度——即宿主间与宿主内的选择作用——塑造了此类权衡，但权衡效应同时也取决于寄生虫自身的生物学特性。尽管真菌寄生虫在应用层面价值显著，但其毒力演化机制仍未得到充分阐释：培养条件下毒力往往不稳定，且在简单传代实验中通常无法实现毒力提升。我们提出假说：通过调控不同尺度下的选择强度，可在蚜虫病原真菌*Akanthomyces muscarius*中揭示毒力权衡关系。本研究以遗传多样性丰富的原种为起始材料，通过操控宿主内、宿主间以及宿主种群间的竞争，针对致死速度、寄生虫产量或侵染性进行筛选，历经7轮…… # 生防制剂*Akanthomyces muscarius*的多级体内筛选、毒力、生长、产孢及变异数据 [https://doi.org/10.5061/dryad.9s4mw6mpz](https://doi.org/10.5061/dryad.9s4mw6mpz) 本数据集为发表于《PLOS Pathogens》的研究手稿提供表型与基因组学数据支持。 ## 数据与文件结构说明 数据集包含7个Excel文件与1个VCF文件。 处理组命名规则：部分数据集内的宿主内、宿主间、宿主种群间处理组，分别对应致死速度、产量与侵染性筛选组。 trt列指代隶属于各处理组（trt_type）的独立进化重复样本。 **taqman_results_withrelfit_25032024：** TaqMan检测（TaqMan assay）结果。样本BPI4孔E07未成功扩增，故标注为NA值。FAM与VIC为对应荧光染料的荧光强度值。内容：软件生成的单元格描述。Sample：样本名称。Comb：竞争谱系的组合。Rep：重复编号。Treatment：与通用参考谱系竞争的各处理组所属谱系……