Abstract:
Bacteria and archaea are foundational life forms on Earth and play crucial roles in the development of our planet\'s biological hierarchy. Their interactions influence various aspects of life, including eukaryotic cell biology, molecular biology, and ecological dynamics. However, the coexistence network patterns of these microorganisms within natural river ecosystems, vital for nutrient cycling and environmental health, are not well understood. To address this knowledge gap, we systematically explored the non-random coexistence patterns of planktonic bacteria and archaea in the 6000-km stretch of the Yangtze River by using high-throughput sequencing technology. By analyzing the O/R ratio, representing the divergence between observed (O%) and random (R%) co-existence incidences, and the module composition, we found a preference of both bacteria and archaea for intradomain associations over interdomain associations. Seasons notably influenced the co-existence of bacteria and archaea, and archaea played a more crucial role in spring as evidenced by their predominant presence of interphyla co-existence and more species as keystone ones. The autumn network was characterized by a higher node or edge number, greater graph density, node degree, degree centralization, and nearest neighbor degree, indicating a more complex and interconnected structure. Landforms markedly affected microbial associations, with more complex networks and more core species found in plain and non-source areas. Distance-decay analysis suggested the importance of geographical distance in shaping bacteria and archaea co-existence patterns (more pronounced in spring). Natural, nutrient, and metal factors, including water temperature, NH4+-N, Fe, Al, and Ni were identified as crucial determinants shaping the co-occurrence patterns. Overall, these findings revealed the dynamics of prokaryotic taxa coexistence patterns in response to varying environmental conditions and further contributed to a broader understanding of microbial ecology in freshwater biogeochemical cycling.
摘要:
细菌和古细菌是地球上的基本生命形式,在地球生物等级的发展中起着至关重要的作用。他们的相互作用影响生活的各个方面,包括真核细胞生物学,分子生物学,和生态动态。然而,这些微生物在自然河流生态系统中的共存网络模式,对营养循环和环境健康至关重要,不是很了解。为了解决这个知识差距,我们利用高通量测序技术,系统地探索了长江6000公里长的浮游细菌和古细菌的非随机共存模式。通过分析O/R比,表示观察到的(O%)和随机的(R%)共存发生率之间的差异,和模块组成,我们发现细菌和古细菌对域内关联的偏好高于域间关联。季节特别影响了细菌和古细菌的共存,古细菌在春季发挥了更重要的作用,这主要体现在它们之间的共存和更多的物种作为基石。秋季网络的特点是节点或边缘数较高,更大的图形密度,节点度,学位集中化,和最近邻程度,表明结构更加复杂和相互关联。地貌显着影响微生物协会,在平原和非来源地区发现了更复杂的网络和更多的核心物种。距离衰减分析表明,地理距离在塑造细菌和古细菌共存模式中的重要性(在春季更为明显)。自然,营养,和金属因素,包括水温,NH4+-N,Fe,Al,Ni和Ni被确定为形成共生模式的关键决定因素。总的来说,这些发现揭示了原核生物类群共存模式对不同环境条件的动态响应,并进一步促进了对淡水生物地球化学循环中微生物生态学的更广泛理解。