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Unraveling the predictive role of temperature in the gut microbiota of the sea urchin Echinometra sp. EZ across spatial and temporal gradients
Molecular Ecology ( IF 4.9 ) Pub Date : 2021-05-19 , DOI: 10.1111/mec.15990
Remi N Ketchum 1 , Edward G Smith 1, 2 , Grace O Vaughan 2 , Dain McParland 2 , Noura Al-Mansoori 2 , John A Burt 2 , Adam M Reitzel 1
Affiliation  

Shifts in microbial communities represent a rapid response mechanism for host organisms to respond to changes in environmental conditions. Therefore, they are likely to be important in assisting the acclimatization of hosts to seasonal temperature changes as well as to variation in temperatures across a species’ range. The Persian/Arabian Gulf is the world's warmest sea, with large seasonal fluctuations in temperature (20℃ - 37℃) and is connected to the Gulf of Oman which experiences more typical oceanic conditions (<32℃ in the summer). This system is an informative model for understanding how symbiotic microbial assemblages respond to thermal variation across temporal and spatial scales. Here, we elucidate the role of temperature on the microbial gut community of the sea urchin Echinometra sp. EZ and identify microbial taxa that are tightly correlated with the thermal environment. We generated two independent datasets with a high degree of geographic and temporal resolution. The results show that microbial communities vary across thermally variable habitats, display temporal shifts that correlate with temperature, and can become more disperse as temperatures rise. The relative abundances of several ASVs significantly correlate with temperature in both independent datasets despite the >300 km distance between the furthest sites and the extreme seasonal variations. Notably, over 50% of the temperature predictive ASVs identified from the two datasets belonged to the family Vibrionaceae. Together, our results identify temperature as a robust predictor of community-level variation and highlight specific microbial taxa putatively involved in the response to thermal environment.

中文翻译:

阐明温度在海胆 Echinometra sp. 肠道微生物群中的预测作用。跨空间和时间梯度的 EZ

微生物群落的变化代表了宿主生物对环境条件变化做出反应的快速反应机制。因此,它们在帮助宿主适应季节性温度变化以及物种范围内的温度变化方面可能很重要。波斯/阿拉伯湾是世界上最暖的海域,季节性温度波动较大(20℃ - 37℃),与阿曼湾相连,海洋条件较为典型(夏季<32℃)。该系统是一个信息模型,用于了解共生微生物组合如何响应跨时间和空间尺度的热变化。在这里,我们阐明了温度对海胆Echinometra sp.微生物肠道群落的作用。易经并确定与热环境密切相关的微生物分类群。我们生成了两个具有高度地理和时间分辨率的独立数据集。结果表明,微生物群落因温度变化的栖息地而异,显示出与温度相关的时间变化,并且随着温度升高可能变得更加分散。尽管最远站点之间的距离大于 300 公里且季节性变化剧烈,但几个 ASV 的相对丰度与两个独立数据集中的温度显着相关。值得注意的是,从两个数据集中确定的温度预测 ASV 中超过 50% 属于弧菌科。一起,
更新日期:2021-05-19
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