Department of Biology, University of Mississippi, Shoemaker Hall, University, St. Cloud, MS, 38677-1848, USA.
Center for Ecosystem Science and Society, Science Lab Facility, Northern Arizona University, Building 17, Flagstaff, AZ, 86011-5620, USA.
Microb Ecol. 2021 Jan;81(1):146-156. doi: 10.1007/s00248-020-01564-z. Epub 2020 Aug 1.
Phyllosphere microorganisms are sensitive to fluctuations in wind, temperature, solar radiation, and rain. However, recent explorations of patterns in phyllosphere communities across time often focus on seasonal shifts and leaf senescence without measuring the contribution of environmental drivers and leaf traits. Here, we focus on the effects of rain on the phyllosphere bacterial community of the wetland macrophyte broadleaf cattail (Typha latifolia) across an entire year, specifically targeting days before and 1, 3, and 5 days after rain events. To isolate the contribution of precipitation from other factors, we covered a subset of plants to shield them from rainfall. We used targeted Illumina sequencing of the V4 region of the bacterial 16S rRNA gene to characterize phyllosphere community composition. Rain events did not have a detectable effect on phyllosphere community richness or evenness regardless of whether the leaves were covered from rain or not, suggesting that foliar microbial communities are robust to such disturbances. While climatic and leaf-based variables effectively modeled seasonal trends in phyllosphere diversity and composition, they provided more limited explanatory value at shorter time scales. These findings underscore the dominance of long-term seasonal patterns related to climatic variation as the main factor influencing the phyllosphere community.
叶面微生物对风、温度、太阳辐射和降雨的波动敏感。然而,最近对叶面群落随时间变化的模式的探索通常集中在季节性变化和叶片衰老上,而没有测量环境驱动因素和叶片特征的贡献。在这里,我们关注的是降雨对湿地大型植物宽叶香蒲(Typha latifolia)叶面细菌群落的影响,这是一个全年的研究,特别针对降雨前一天和降雨后 1、3 和 5 天。为了将降水的影响与其他因素区分开来,我们覆盖了一部分植物以防止它们被雨水淋湿。我们使用靶向 Illumina 测序技术对细菌 16S rRNA 基因的 V4 区进行测序,以描述叶面群落的组成。无论叶片是否被雨水覆盖,降雨事件都不会对叶面群落的丰富度或均匀度产生可检测的影响,这表明叶际微生物群落对这种干扰具有很强的抵抗力。虽然气候和基于叶片的变量有效地模拟了叶面多样性和组成的季节性趋势,但它们在较短的时间尺度上提供了更有限的解释价值。这些发现强调了与气候变化相关的长期季节性模式是影响叶面群落的主要因素。