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牡蛎死亡事件期间水微生物群落的特征及其与定居牡蛎的关系。

Characterization of water microbiota and their relationship with resident oysters during an oyster mortality event.

机构信息

CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.

Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao, China.

出版信息

Microbiol Spectr. 2024 Oct 3;12(10):e0288123. doi: 10.1128/spectrum.02881-23. Epub 2024 Aug 20.

Abstract

Microorganisms are vital for the health of marine invertebrates, and their assembly is driven by both deterministic and stochastic factors that regulate residents (innate to the host) and transients (from ambient water). However, the role of water microbiota and the significance of deterministic and stochastic processes in aquatic hosts facing mortality threats are largely unknown. This study examines the shifts in water microbiota during an oyster mortality event using amplicon sequencing and compared with those of resident oysters to disentangle the balance of the deterministic and stochastic factors involved. Water temperature and dissolved oxygen significantly shape the microbial community with a distinct monthly pattern, and blooms might exacerbate oyster mortality. The comparative analysis of microbial communities in oysters and water revealed that ≤ 21% of the genera were shared between oysters and water, implying that water microbiota cannot easily transfer into oysters. Furthermore, these shared genera had different functions, with oysters more involved in promoting host digestion and nutrient acquisition and water bacteria enriched more in functions promoting their own growth and survival. These findings illustrate that oysters may possess specific selection or barrier mechanisms that permit a small percentage of transients, controlled by stochastic factors and having a minimal effect on oyster mortality, to enter, whereas the majority of oyster microbiota are residents governed by deterministic factors. Consequently, oysters exhibit some plasticity in their symbiotic microbiota, enabling them to maintain microbial homeostasis and adapt to complex microbial surroundings. This may be a shared mechanism among marine invertebrates for survival in complex marine environments.IMPORTANCEPacific oysters are widely cultured and play vital ecological roles. However, the summer mortality hinders sustainable oyster farming. Untangling causative mechanisms of oyster mortality is a complex task due to the intricate "interactome" involving environmental factors, hosts, and pathogens. Interactions between hosts and microorganisms offer an ideal avenue for investigating the truth. We systematically investigated the microbial community in water and resident oysters during a summer mortality event and proposed that the assembly of oyster microbiota is primarily governed by deterministic processes independent of mortality. Pathogens mainly originate from resident members of the oyster microbiota, with a limited influence from the microbial community in the water. Additionally, environmental degraders, such as blooms, cannot be overlooked as a contributing factor of oyster mortality. This study evaluated the weight of deterministic and stochastic factors in microbial assembly during an oyster mortality event and greatly broadened our understanding of the "interactome" through the interaction between oysters and water in microbiota.

摘要

微生物对海洋无脊椎动物的健康至关重要,它们的组成受确定性和随机性因素的驱动,这些因素调节着驻留者(宿主固有的)和过客(来自周围的水)。然而,水微生物组的作用以及在面临死亡威胁的水生宿主中确定性和随机性过程的重要性在很大程度上尚不清楚。本研究使用扩增子测序技术研究了牡蛎死亡事件期间水中微生物组的变化,并与驻留牡蛎进行了比较,以厘清所涉及的确定性和随机性因素的平衡。水温和溶解氧显著影响微生物群落,具有明显的月度模式,而水华可能会加剧牡蛎的死亡。牡蛎和水中微生物群落的比较分析表明,牡蛎和水中有 ≤ 21%的属是共有的,这意味着水微生物组不容易转移到牡蛎中。此外,这些共有的属具有不同的功能,牡蛎更多地参与促进宿主消化和营养获取,而水细菌则更多地富集在促进自身生长和生存的功能上。这些发现表明,牡蛎可能具有特定的选择或屏障机制,允许一小部分受随机性因素控制、对牡蛎死亡率影响最小的过客进入,而大多数牡蛎微生物组是由确定性因素控制的驻留者。因此,牡蛎在其共生微生物组中表现出一定的可塑性,使它们能够维持微生物组的内稳态并适应复杂的微生物环境。这可能是海洋无脊椎动物在复杂海洋环境中生存的一种共同机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a28/11448099/9b802082841e/spectrum.02881-23.f001.jpg

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