Wang Denghui, Wang Fan, Huang Zihao, Li Aoqiang, Dai Wentao, Leng Haixia, Jin Longru, Li Zhongle, Sun Keping, Feng Jiang
College of Life Science, Jilin Agricultural University, Changchun, China.
School of Life Sciences, Central China Normal University, Wuhan, China.
Front Microbiol. 2024 Sep 6;15:1458258. doi: 10.3389/fmicb.2024.1458258. eCollection 2024.
The skin fungal communities of animals play a crucial role in maintaining host health and defending against pathogens. Because fungal infections can affect the skin microbiota of bats, gaining a comprehensive understanding of the characteristics of healthy bat skin fungal communities and the ecological processes driving them provides valuable insights into the interactions between pathogens and fungi.
We used Kruskal-Wallis tests and Permutational Multivariate Analysis of Variance (PERMANOVA) to clarify differences in skin fungal community structure among bat species. A Generalized Linear Model (GLM) based on a quasi-Poisson distribution and partial distance-based redundancy analysis (db-RDA) was performed to assess the influence of variables on skin fungal communities. Using community construction models to explore the ecological processes driving fungal community changes, -tests and Wilcoxon tests were used to compare the alpha diversity and species abundance differences between the fungal structure on bat species' skin and the environmental fungal pool.
We found significant differences in the composition and diversity of skin fungal communities among bat species influenced by temperature, sampling site, and body mass index. Trophic modes and skin fungal community complexity also varied among bat species. Null model and neutral model analysis demonstrated that deterministic processes dominated the assembly of skin fungal communities, with homogeneous selection as the predominant process. Skin fungal communities on bat species were impacted by the environmental fungal reservoir, and actively selected certain amplicon sequence variants (ASVs) from the environmental reservoir to adhere to the skin.
In this study, we revealed the structure and the ecological process driving the skin fungal community across bat species in northern China. Overall, these results broaden our knowledge of skin fungal communities among bat species, which may be beneficial to potential strategies for the protection of bats in China.
动物的皮肤真菌群落对于维持宿主健康和抵御病原体起着至关重要的作用。由于真菌感染会影响蝙蝠的皮肤微生物群,全面了解健康蝙蝠皮肤真菌群落的特征以及驱动它们的生态过程,可为病原体与真菌之间的相互作用提供有价值的见解。
我们使用Kruskal-Wallis检验和置换多变量方差分析(PERMANOVA)来阐明蝙蝠物种之间皮肤真菌群落结构的差异。基于拟泊松分布的广义线性模型(GLM)和基于距离的偏冗余分析(db-RDA)用于评估变量对皮肤真菌群落的影响。利用群落构建模型探索驱动真菌群落变化的生态过程,采用t检验和Wilcoxon检验比较蝙蝠物种皮肤真菌结构与环境真菌库之间的α多样性和物种丰度差异。
我们发现受温度、采样地点和体重指数影响,蝙蝠物种之间皮肤真菌群落的组成和多样性存在显著差异。蝙蝠物种之间的营养模式和皮肤真菌群落复杂性也有所不同。空模型和中性模型分析表明,确定性过程主导了皮肤真菌群落的组装,其中同质选择是主要过程。蝙蝠物种的皮肤真菌群落受到环境真菌库的影响,并从环境库中积极选择某些扩增子序列变体(ASV)附着于皮肤。
在本研究中,我们揭示了中国北方蝙蝠物种皮肤真菌群落的结构及其驱动的生态过程。总体而言,这些结果拓宽了我们对蝙蝠物种间皮肤真菌群落的认识,这可能有利于中国蝙蝠保护的潜在策略。