Bonthond Guido, Neu Anna-Katrin, Bayer Till, Krueger-Hadfield Stacy A, Künzel Sven, Weinberger Florian
Institute for Chemistry and Biology of the Marine environment (ICBM) Carl-von-Ossietzky University Oldenburg Wilhelmshaven Germany.
GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany.
Ecol Evol. 2023 Jan 24;13(1):e9753. doi: 10.1002/ece3.9753. eCollection 2023 Jan.
Seaweeds are colonized by a microbial community, which can be directly linked to their performance. This community is shaped by an interplay of stochastic and deterministic processes, including mechanisms which the holobiont host deploys to manipulate its associated microbiota. The Anna Karenina principle predicts that when a holobiont is exposed to suboptimal or stressful conditions, these host mechanisms may be compromised. This leads to a relative increase of stochastic processes that may potentially result in the succession of a microbial community harmful to the host. Based on this principle, we used the variability in microbial communities (i.e., beta diversity) as a proxy for stability within the invasive holobiont during a simulated invasion in a common garden experiment. Independent of host range, host performance declined at elevated temperature (22°C) and disease incidence and beta diversity increased. Under thermally stressful conditions, beta diversity increased more in epibiota from native populations, suggesting that epibiota from non-native holobionts are thermally more stable. This pattern reflects an increase in deterministic processes acting on epibiota associated with non-native hosts, which in the setting of a common garden can be assumed to originate from the host itself. Therefore, these experimental data suggest that the invasion process may have selected for hosts better able to maintain stable microbiota during stress. Future studies are needed to identify the underlying host mechanisms.
海藻被一个微生物群落定殖,该群落与海藻的表现直接相关。这个群落由随机过程和确定性过程的相互作用塑造,包括全生物宿主用来操纵其相关微生物群的机制。《安娜·卡列尼娜原则》预测,当全生物暴露于次优或压力条件下时,这些宿主机制可能会受到损害。这导致随机过程的相对增加,这可能会导致对宿主有害的微生物群落的演替。基于这一原则,在一个共同花园实验的模拟入侵过程中,我们将微生物群落的变异性(即β多样性)用作入侵全生物体内稳定性的指标。与宿主范围无关,在高温(22°C)下宿主表现下降,疾病发病率和β多样性增加。在热应激条件下,本地种群附生生物的β多样性增加得更多,这表明非本地全生物的附生生物在热方面更稳定。这种模式反映了作用于与非本地宿主相关的附生生物的确定性过程的增加,在共同花园的环境中,可以认为这起源于宿主本身。因此,这些实验数据表明,入侵过程可能选择了在压力期间能够更好地维持稳定微生物群的宿主。未来需要开展研究来确定潜在的宿主机制。