物种丰富度
生物
物种均匀度
通才与专种
植物
生物多样性
生态学
物种多样性
优势(遗传学)
属
栖息地
生物化学
基因
作者
Leho Tedersoo,Rein Brys,Kessy Abarenkov,Sten Anslan,Mohammad Bahram,Krišs Bitenieks,Franz Buegger,Daniyal Gohar,Niloufar Hagh‐Doust,Dārta Kļaviņa,Kristaps Makovskis,Austra Zuševica,Karin Pritsch,Allar Padari,Sergei Põlme,Saleh Rahimlou,Dainis Ruņǵis,Vladimir Mikryukov
标识
DOI:10.1111/1758-2229.13253
摘要
Abstract Partner specificity is a well‐documented phenomenon in biotic interactions, yet the factors that determine specificity in plant‐fungal associations remain largely unknown. By utilizing composite soil samples, we identified the predictors that drive partner specificity in both plants and fungi, with a particular focus on ectomycorrhizal associations. Fungal guilds exhibited significant differences in overall partner preference and avoidance, richness, and specificity to specific tree genera. The highest level of specificity was observed in root endophytic and ectomycorrhizal associations, while the lowest was found in arbuscular mycorrhizal associations. The majority of ectomycorrhizal fungal species showed a preference for one of their partner trees, primarily at the plant genus level. Specialist ectomycorrhizal fungi were dominant in belowground communities in terms of species richness and relative abundance. Moreover, all tree genera (and occasionally species) demonstrated a preference for certain fungal groups. Partner specificity was not related to the rarity of fungi or plants or environmental conditions, except for soil pH. Depending on the partner tree genus, specific fungi became more prevalent and relatively more abundant with increasing stand age, tree dominance, and soil pH conditions optimal for the partner tree genus. The richness of partner tree species and increased evenness of ectomycorrhizal fungi in multi‐host communities enhanced the species richness of ectomycorrhizal fungi. However, it was primarily the partner‐generalist fungi that contributed to the high diversity of ectomycorrhizal fungi in mixed forests.
科研通智能强力驱动
Strongly Powered by AbleSci AI